Annual Report (2018 –2019) Scaling Up Resilient Agricultural ...

Submitted to:

Annual Report

(2018 –2019)

Scaling Up Resilient Agricultural Practices, Technologies

and Services in the Vulnerable Areas of India

Date: October 25, 2019

Simrat Labana

Project Management Specialist (Agriculture)

USAID/India

From:

BISA-CIMMYT

New Delhi, India

COOPERATIVE AGREEMENT NO.: BFS-IO-17-00005 CGIAR2 2017

Annual Report 2018-19

Page 1 of 78

LIST OF ACRONYMS AND ABBREVIATIONS

CCAFS Weather Change, Agriculture and Food Security

CGIAR Consultative Group of International Agriculture Research

CIMMYT Centro Internacional de Mejoramiento de Maíz y Trigo (International Maize

and Wheat Improvement Center)

CSA Weather Smart Agriculture

CSR Corporate Social Responsibility

CSV Weather Smart Village

CV Coefficient of Variation

FPOs Farmers Producers Organizations

ICAR Indian Council of Agricultural Research

ICT Information and Communication Technologies

KVK Krishi Vigyan Kendras

LCC Leaf Color Chart

LLL Laser Land Leveler

NGOs Non-Governmental Organizations

NICRA National Initiative for Climate Resilient Agriculture

USAID United States Agency for International Development


Page 2 of 78

Contents 1. EXECUTIVE SUMMARY .................................................................................................... 4

2. PROGRAM OVERVIEW AND PERFORMANCE .............................................................. 7

A. Results Framework ........................................................................................................... 7

B. Key Accomplishments and Developments in the Third Year (FY 2018-19) ................... 9

The resilience framework ....................................................................................................... 9

Reporting structure................................................................................................................ 11

Section 1: Improvements in yield and income through adoption of CSA options at

household level ..................................................................................................................... 13

Section 2: Developing community resilience ....................................................................... 24

Section 3: Mitigating climate impacts on environment through reduction in GHG emissions

and improving nutrient use efficiency .................................................................................. 35

Section 4: Sustainability and Scalability of project interventions ........................................ 39

C. Target performance indicators for Second Year (2018-19) ........................................... 45

D. Monitoring and Evaluation Activities ............................................................................ 47

Midline Survey...................................................................................................................... 47

E. Field Visits ..................................................................................................................... 48

F. Success Stories ................................................................................................................... 49

G. Leverage, Cost Share and Financial Monitoring ............................................................ 53

H. Organizational Learning, Development and Collaboration ........................................... 54

A. Anticipated Activities for 2019-2020 ............................................................................. 57

B. Media Coverage Received in 2018-19 ........................................................................... 59

Magazine Article ................................................................................................................... 59

News coverage ...................................................................................................................... 60

C. Communications and Dissemination Activities ............................................................. 60

Webpage ............................................................................................................................... 60

Publications ........................................................................................................................... 61

Blogs ..................................................................................................................................... 61

Newsletter Article ................................................................................................................. 61

3. Annex .................................................................................................................................... 62

A. FTF M&E Indicator Sheet ................................................................................................... 62


Page 3 of 78

B. Financial Reporting: FS-425 ................................................................................................ 64

This will be submitted separately via the PMU team. .............................................................. 64

C. Environmental Mitigation and Monitoring (2018-2019) ..................................................... 64

F. Key Project Personal............................................................................................................. 65

4. Appendix ............................................................................................................................... 66

A. Number of super champion, champion and CSA farmers in the selected villages ........ 66

B. List of Weather Resilient Technologies, Practices and Services ................................... 69

C. Progress of project activities .......................................................................................... 71

1. Demo plots ........................................................................................................................ 71

2.Trainings ............................................................................................................................ 73

Progress of trainings and participants in the last two years for Betul district ....................... 73

Progress of trainings and participants in the last two years for Mathura district .................. 73

Progress of trainings and participants in the last two years for Nalanda district .................. 74

3. Convergence ..................................................................................................................... 75

4. Women engaged in micro-enterprise…………………………………………………….79


Page 4 of 78

1. EXECUTIVE SUMMARY

In the last few decades, India has made great strides in agriculture and food security. Despite

this, the country has one-fifth of the world’s hungry people and 40 percent of the world’s

malnourished children and women. Producing food sustainably, with shrinking land and water

resources, to meet the needs of a growing population in a changing climate scenario is a herculean

task. Smallholder farmers in India face unprecedented uncertainties including increasing

frequency of extreme weather events such as droughts, floods, heatwaves and hailstorms. As a

result, their yields fluctuate, and their incomes vary with potential impact on their long-term

resilience. There is therefore an urgent need to identify cost-effective, inclusive (with a focus on

gender and socially marginalized groups) and evidence-based integrated solutions to enhance the

adaptive capacity of vulnerable farming communities.

USAID/ India has partnered with Climate Change, Agriculture and Food Security (CCAFS),

South Asia (CCAFS), for a four-year intervention (October 2016 – June 2020) to scale out

weather-resilient agricultural interventions through the Climate Smart Village (CSV) approach.

The focus is generally on a basket of synergistic options, rather than on single technology to

improve cropping and livestock development in targeted areas as a means of enhancing

resilience to climate variability. CCAFS provides technical leadership and overall guidance to

BAIF (an NGO) which is implementing the project on the ground. The project demonstrated a

portfolio of weather resilient technologies, practices and services in 75 villages of Uttar Pradesh

(Mathura district), Bihar (Nalanda district) and Madhya Pradesh (Betul district).

In FY 2019, 11,250 farmers were able to access climate resilient agricultural technologies and best

practices in 75 clusters of villages in eastern India (Bihar, Uttar Pradesh, and Madhya Pradesh). A

suite of 16 technologies/practices/services were targeted at 75 super champion, 1,050 champion

and 10,125 CSA farmers in three districts. The project held 232 trainings and capacity building

activities for 6,281 farmers (Betul- 1,891; Nalanda- 2,545; and Mathura- 1,845), with 32%

participation from women (2,019 numbers) enrolled in the project. The training mainly included

implementation of CSA package of practices in the farmers’ field, preparation of organic

fertilizers, pesticides and vermicomposting, as well as livestock related activities.

The project in partnership with IFFCO Kisan Sanchar Ltd, a private sector ICT provider, is

disseminating weather and climatic information using existing scientific knowledge and farm

conditions to all project farmers. A short survey conducted with a sample of 180 farmers this

year to evaluate the ICT services. Results highlighted that majority of the farmers across districts

prefer the voice messages compared to the text messages as it is easier to understand. While crop

related advisory is highly preferred in Betul and Nalanda, Mathura farmers prefer weather related

advisory as much as crop based. The information provided has been proven useful for most of

the farmers in the three districts and they have used the information to implement changes in the

field within a few days. Almost all farmers expressed interest in continuing the services post


Page 5 of 78

project period however the willingness to pay was not in accordance, ranging from 54% of

respondents in Betul to only 23% in Nalanda.

The project also focused on developing water-smart interventions in Betul this year. Four types

of structures have been promoted including wells, farm ponds, check dams and micro-irrigation

such as drip system. This intervention has benefitted 107 households and increased irrigated area

by 51 hectares till date. Majority of the structures were financed through convergence.

The project has developed a very gender inclusive approach from the very beginning. Of the total

11,250 farmers, the project has enrolled more than 4,500 number of women, majorly from Betul,

for uptake and implementation of project activities. The project has adopted a systematic

approach to integrate gender across the key stages of adaptation for which a framework has been

highlighted. Participation of women farmers in trainings has increased significantly, with 2019

women participants this year compared to only 483 last year.

Combining global scientific knowledge with local needs and priorities, the project has made

weather smart technologies, practices and services available to all farmers through innovative local

institutions such as the Custom Hiring Center (CHC) and Cattle Development Center (CDC). In

FY 2019, the project has continued to strengthen 13 CHCs and three CDCs in the project districts.

Cattle improvement is being carried out through Artificial Insemination with over 2,159 animals

having been inseminated this year and 61% of those diagnosed have confirmed pregnancy.

Demonstration and evaluation of weather resilient technologies covers 606 acres of agricultural

land this year and shows significant improvement in yield and incomes of farmers. Seed

replacement with improved seeds, seed treatment before sowing, change in sowing/transplanting

methods, integrated and precision nutrients management, and new water management techniques

such as system of rice intensification (SRI) helped to improve crop yields in the project areas. On

an average, yields have increase by 60% over baseline in the past one year. For instance, yields of

wheat, paddy, gram and pearl millet have improved by 55%, 68%,62% and 57%, respectively.

Similarly, gross incomes have also improved by 92% (Rs. 31,037 per hectare or approx. $437 per

hectare). As an example, farmer incomes have improved by 75%, 102%,87% and 131% for wheat,

paddy, gram and pearl millet respectively.

Extensive outreach and demonstrations have taken place throughout the year for dissemination of

weather resilient technologies and sharing of project results to larger audiences. The project has

established 2,375 number of demo plots in farmer fields covering 606 acres (equivalent to 245

hectare) in all three districts to trail new technologies and package of practice. Capacity building

indirectly focuses on crop related practices in all districts, with trainings also provided for use of

weather information and agro-advisory services and enrollment in the agriculture insurance

program in Mathura and Nalanda.


Page 6 of 78

Nutrient use efficiency has increased by 171% over baseline in all three districts for all crops. Seed

replacement with improved seeds, seed treatment before sowing, change in sowing/transplanting

methods, integrated and precision nutrients management, and new water management techniques

such as system of rice intensification (SRI) helped to improve crop yields in the project areas.

Agriculture and livestock are major contributors to the rising emissions of Greenhouse Gases

(GHG). Excess usage of inorganic fertilizers such as Urea contributes to the increase in emission

of the greenhouse gas. The project promoted reduction in Urea input by partially replacing it

with Vermicompost and INM practices for all crops, which has resulted in reduced usage of Urea

and 62% reduction in overall CO2 emission per ton of crop production. Additionally, 32 bio-gas

plants are also contributing to the reduction of the overall carbon footprint from the project

activities.

The project is working in coordination with multiple government departments which has resulted

in leveraging funds of approximately USD 270,506 (INR. 191 lakhs) through several national

flagship programs like Mahatma Gandhi National Rural Employment Guarantee Scheme

(MNREGS), and National Mission for Sustainable Agriculture (NMSA). Convergence with

government schemes and programs has been very high in Betul and Mathura districts with more

than 7,100 project households being benefitted through agriculture and livestock related activities.

New seed distribution and soil health cards have been the most penetrated activities in agriculture

in Betul followed by water-based interventions including sprinkler. New seed distribution in

Mathura and Horticulture training in Nalanda have been the major activities. The project has also

attracted the visits of government officials in Betul and Nalanda district where they have seen the

paddy demo plots and azola units, respectively.

The project developed numerous digital outreach and communication materials for external

audiences such as a project webpage, articles, info-notes and blogs on CCAFS website and

publications that were re-printed / hosted on other websites. Section 2-K (Communications and

Dissemination Activities) has a compilation of all the articles and reports produced by the project

team.

The project has been provided a no-cost extension for the period October 2019 till June 2020.

Key activities for this period include completion of the remaining field and community-

based activities; develop convergence plans with ongoing national flagship programs

and develop high value communication products and models to support scaling up/out of weather

resilient agricultural technologies, practices and services in similar locations. In addition to this,

the project will outline sustainability pathways that can be adopted by communities to adapt or

respond to climate shocks or stresses, beyond the life of the project.


Page 7 of 78

2. PROGRAM OVERVIEW AND PERFORMANCE

A. Results Framework

The key goal of this project is to use global and regional knowledge and skills to build resilient

agricultural production system in food insecure and vulnerable areas of the Ingo-Gangetic Plain

(IGP) region through Climate Smart Village (CSV) approach. The focus is generally on a basket

of synergistic options, rather than on single technologies. Major activities include: i) strategic

design of land use options including priority crops, technologies and practices based on agro-

ecological analysis and farmer typologies, ii) promoting weather resilient technologies and

maximizing synergies among interventions; iii) providing value-added information services

including insurance to farmers; iv) facilitating community partnership for knowledge sharing; and

implementation of weather resilient technologies and scaling-out through outreach activities like

farmers’ fairs and videos; and vi) scaling-up through linkages with on-going government schemes

and programs. The project has four major objectives:

1. To scale out weather resilient agricultural technologies, practices and services 75 clusters

of villages in eastern India (Bihar, Uttar Pradesh, and Madhya Pradesh as shown in Picture

1) to build additional evidence for scaling out weather-smart agriculture;

2. To develop new business and institutional models on the CSV approach involving local

organizations, agriculture departments and the private sector (input suppliers, insurance

and ICT companies, and agri-business entrepreneurs) to reach scale;

3. To reach scale by strengthening the capacity of farmers-producers’ groups (FPOs), local

organizations (community based organizations and NGOs), agencies dealing with CSR

Funds, national and international weather adaptation funds, local government involved in

adaptation to weather change in implementing CSV approach; and

4. To promote South-South cooperation to enable other developing countries (especially

Nepal and Bangladesh) to adopt and learn from lessons in India for reaching scale in their

own countries on weather-smart agriculture

This project is implemented in collaboration with local partners, ICT company (for weather

information, agro-advisory and market linkage), insurance industry (for crop insurance program),

input suppliers (for seeds, fertilizers and machines), and national agriculture research systems

(knowledge partners). The project aims to provide direct benefit of weather adaptation to 11,050

farmers and indirect benefits to 50,000 farmers in the project sites. These indirect benefits will be

measured based on coverage areas of project and potential scaling of demonstrated weather

resilient technologies, practices and services.

The target performance indicators of this project include: i) number of farmers/farm households

who have implemented weather resilient agricultural technologies and practices in their farms, ii)

number/amount of technologies or management practices under research, under field testing, or

made available for transfer as a result of project assistance, iii) number of hectares of land under

CSA technology and practice with project assistance, and iv) number of trainings, workshops, farm


Page 8 of 78

visits, farm fairs provided to farmers as well as stakeholders organizations. The envisioned

outcomes of this project are: i) development of weather resilient agricultural systems, ii)

improvement in farm production and income, iii) reduction of emission from crop and livestock

production, and iv) strengthen gender and social inclusion through capacity building and involving

in the project activities.

Picture 1: Map highlighting the project districts in India


Page 9 of 78

B. Key Accomplishments and Developments in the Third Year (FY 2018-19)

This annual report highlights the projects achievements during period from October 2018 to

September 2019, while also presenting annual trends for some indicators since project inception.

Main targets of this reporting period were: implementation of climate smart technologies, practices

and services in the Rabi (2018-19) and Kharif (2019) in Betul only, capacity building and trainings,

field visit/farmers meetings for scaling out to large number of farmers in the project areas and

progress of project indicators so far. The project has achieved several milestones and

accomplishments that may be highlighted as an indicator of future successes. This report highlights

the project’s key achievements using a resilience framework. The framework defines the project’s

goal and its related activities during this year.

The resilience framework

Resilience refers to the ability of systems, communities, households or individuals to cope with or

mitigate risks as well as recover from adverse events or shocks (FAO 2013). Adaptation plays a

key role in building resilience and is directly related to the vulnerability of the system to shocks.

From a climate change perspective, building resilience is key to strengthening the agricultural

system’s capacity to deal with negative impacts of increasing weather variability and extremities.

Building climate resilience of agriculture is also essential to ensure food security while focusing

on improving productivity.

Figure 1: Climate Resilience Framework for agriculture

Agricultural systems are defined by several social, economic and environmental factors that not

just determine the vulnerability of the system but also define the dynamism of resilience that needs

to be developed (Béné, C et al., 2016)1. For instance, agriculture in a region comprised of poor

farmers, with limited resources and facing severe climate risks may be less resilient to climate

change compared to a region with relatively richer, resource endowed farmers facing similar

1 Béné, C., Al-Hassan, R.M., Amarasinghe, O., Fong, P., Ocran, J., Onumah, E., Ratuniata, R., Van Tuyen, T.,

McGregor, J.A. and Mills, D.J., 2016. Is resilience socially constructed? Empirical evidence from Fiji, Ghana, Sri

Lanka, and Vietnam. Global environmental change, 38, pp.153-170.


Page 10 of 78

climate risks. This is because the capacity of the community to adapt to climatic risks will be lower

in case of the former and may take longer to develop.

Figure 1 presents a framework that explains climate resilience for agriculture at three different

levels, individual/household level, community level and system level. At the household level,

resilience is built by enhancing current and future agricultural income in a changing climate by

sustaining and improving crop productivity through CSA technologies, practices and services.

Improved incomes can prevent the household from extreme poverty levels in times of climate risks

and build capacity of farmers to further invest in climate risk adaptation. Similarly, at the

community level, group-based approaches that support collective action and decision making can

promote climate risk adaptation at that level, encouraging social resilience. Finally, efforts to

mitigate overall impact of climate risks on agriculture including mitigation related interventions

and resource use efficiency can help in building environmental resilience at a sectoral or systems

level.

Interventions at each of these three different levels can together contribute to the overall capacity

of the agriculture sector to cope with climate risks. The ability of the agricultural system to build

resilience is also related to the presence of support systems and mechanisms in the form of policies,

institutions and knowledge access. These form the enabling environment present around a system

that can impede or accelerate the resilience building process.


Page 11 of 78

Reporting structure

Based on the framework, figure 2 explains how the project is building on the three types of

Resilience in the 75 villages through an integrated approach to climate risk adaptation.

Figure 2: Structure of the reports Section B based on resilience framework


Page 12 of 78

Section 1.

Economic resilience


Page 13 of 78

Section 1: Improvements in yield and income through adoption of CSA options at

household level2

In this annual year (2018-19), three types of rainfall related risks were faced during the Kharif

season, excess rainfall in Mathura, delayed rains in Nalanda and less overall rainfall in Betul. In

Nalanda, delayed start of rains resulted in sowing failure for farmers. In Betul, average rainfall

during the Kharif season was even lower than the levels experienced in 2017, affecting water

availability. In Mathura, excess rainfall after sowing lead to damage to the Bajra seeds that were

sown through the traditional broadcasting method. Similarly, in Rabi, hailstorm in Betul and

increase in average temperature in Nalanda were the climate risks faced by farmers. Betul

witnessed hailstorms during the harvesting period in February and March as a result of which

crop yields were affected. in Nalanda, increase in average temperatures during the grain filling

period resulted in lower weight of the seeds and therefore lower yields. There were no significant

climate risks in Mathura during Rabi season.

Climate variability and diverse agro-diversities across all three intervention sites necessitated a

customized suite of option to build the resilience and adaptive capacity of farmers. Depending on

the kind of risk as well as the cropping pattern, the project is promoting weather smart

interventions to enable farmers reduce potential losses from these risks. As a result, farmers will

not only be able to prevent expected losses but also achieve increase yield and incomes in all the

districts. This will enable them to move towards a more economically resilient farming system.

Kharif season

Figure 3 highlights an improvement in average yields and income that is also accompanied by a

reduction in the overall variance of the group pointing towards the development of a resilient

system. Since project inception, the project interventions have enabled the farmers to increase

their yields and incomes every year. On an average, farmers have been able to earn a cumulative

incremental income of INR 55,886 per hectare from Rice and INR 13,047 per hectare from Bajra

in the last two years.

In this annual year (2018-19), Rice was the major Kharif crop cultivated in Betul and Nalanda.

Bajra was cultivated in Mathura as a major Kharif crop. During the season three types of rainfall

related risks were faced during the Kharif season, excess rainfall in Mathura, delayed rains in

Nalanda and less overall rainfall in Betul. In Nalanda, delayed start of rains resulted in sowing

failure for farmers. To mitigate the loss, two types of adaptation strategies were applied. Farmers

with access to irrigation were encouraged to adopt the practice of Direct Seeded Rice (a practice

2 To consolidate the results, an analysis has been conducted to identify yield and income trends of farmers since

project inception. The report highlights results of those set of farmers for whom data is available for all three time

periods. i.e. baseline, year 2017-18(year 2) and year 2018-19(year 3).


Page 14 of 78

that requires relatively more water compared to transplanted rice), while the others were given a

short duration variety of Rice to harvest the crop in the limited time available. Overall average

yields have been higher than 103% over baseline with a 142% improvement in income.

Betul saw a decrease in average rainfall during the Kharif season, even lower than the levels

experienced in 2017. Given the knowledge of drought potential in the district, the project

promoted medium duration Rice seed variety, requiring relatively lesser amount of

rainfall/water. This was complemented with alternate wetting and drying irrigation method to use

minimum water. Yields were improved by 33% with gross incomes improving by 62% (Figure

3).

In Mathura, excess rainfall after sowing lead to damage to the Bajra seeds that were sown through

the traditional broadcasting method. However, in the project plots, an improved short duration

Bajra (Pearl millet) variety was promoted for re-sowing. While most of the non-project farmers

kept their land fallow after sowing failure, our project farmers managed to get yield improvement

of 13% over baseline, with a 42% increase in gross income.


Page 15 of 78

Figure 3: Yield and gross income trends of Kharif crops, Rice and Bajra in project districts

Rabi season

Wheat has been the major Rabi crops for the three districts across the years. During FY 2018-19,

Betul witnesses’ hailstorms during the harvesting period in February and March as a result of

which crop yields are affected. Similarly, in Nalanda, increase in average temperatures during

the grain filling period resulted in lower weight of the seeds and therefore lower yields.

However, project interventions helped reduce the damage from these risks in both district. In

Betul, stress tolerant seed variety and application of Potash as fertilizer strengthened the crop of

project farmers and prevented damage from hail. At the same time, application of light irrigation

in Nalanda during the heat stress period enabled a reduction in yield loss for project farmers.

Rabi wheat yields therefore improved by 6% and 74% while gross incomes increased by 20%

and 97%, in Betul and Nalanda respectively. In Mathura, there was no significant climatic risk


Page 16 of 78

and project interventions enabled a yield and gross income increase of 85% and 109%

respectively vs the baseline.

Figure 4 highlights the improvements in yields and income since project inception for Rabi crops

of Wheat and Gram. The overall variance of the group is also seen across both crops. Since

project inception, the project interventions have enabled the farmers to increase their yields and

incomes every year. On an average, farmers have been able to earn a cumulative incremental

income of INR 60,924 per hectare from Wheat and INR 28,016 per hectare from Gram in the last

two years.

Figure 4: Yield and gross income trends of Rabi crops Wheat and Gram in project districts

The improvements in yield and income have been a result of multiple factors including adoption

of adaptation interventions. While the results are convincing, they represent indicators for a

limited number of farmers in a given season. There is a need to do further work to understand the

replicability and scalability of such interventions.


Page 17 of 78

The following sections highlight the key interventions that were promoted during the year

including improved seeds, ICT based weather and agro advisory and water-based interventions

in Betul.

a) Scaling CSA technologies and practices

The project has disseminated a portfolio of weather-smart technologies and practices (Table 1) to

all the direct 11,250 farmer beneficiaries. A technology portfolio for the 75 Super Champion farmers

includes all possible weather resilient technologies, practices and services to test and evaluate in his/her

field. Combination of technologies that include, water, nutrient, carbon, energy and knowledge smart are

considered for the super champion farmers. A technology portfolio for the 1050 Champion Farmers

includes a combination of few most prominent technologies (e.g. improved seed, site specific nutrient

management, livestock feeding management and ICT based weather information and agro-advisory

services). 10,125 CSA Farmers will receive Improved seed (crop and fodder) of seasonal crops, and

agro-advisory and some activities related to livestock management are provided in the CSVs.

Table 1: Portfolio of technologies for different categories of farmer Super Champion Champion farmers CSA farmers

• Improved seed

• Laser Land Levelling

• ICT based weather and agro-

advisory services

• Crop Insurance

• Integrated Nutrient Management

(based on LCC, Green Seeker)

• Alternative Wetting and Drying

• Direct Seeded Rice

• Minimum Tillage

• Fodder Management

• Concentrate Feeding for Livestock

• Stress Tolerant High Yielding

Breeds of Livestock

• Area Specific Mineral Mixture for

Livestock

• Weather Smart Housing for

Livestock

• Biogas

• Other equipment through Custom

Hiring Centers

• Infertility Camps (and other

services through CDC)

• Improved Seeds

• Laser Land Levelling

• ICT based weather and agro-advisory

services

• Crop Insurance

• Integrated Nutrient Management

(based on LCC, Green Seeker)

• Fodder Management

• Concentrate Feeding for Livestock

• Stress Tolerant High Yielding Breeds

of Livestock

• Area Specific Mineral Mixture for

Livestock

• Other equipment through Custom

Hiring Centers

• Infertility Camps (and other services

through CDC)

• ICT based weather and

agro-advisory services

• Crop Insurance

• Livestock development

(De-worming, vaccination

and support for 2 cattle per

family)

• Other equipment through

Custom Hiring Centers

• Infertility Camps (and

other services through

CDC)

A key intervention in the demo plots of Super-Champion and champion farmer plots has been

the distribution of improved seed variety. Figure 5 below highlights the crop varieties promoted

during the project period in the three districts in the last two years. All CSA and other farmers

were linked with improved seed suppliers (KVK, ICAR, retailers) to promote improved, high


Page 18 of 78

yielding and climate resilient crop varieties in the project locations. It can be seen that the project

is working not just on two main cereals like wheat and rice, but also on dryland crops like grams

and vegetables to improve the cropping diversity.


Page 19 of 78

Figure 5: Crop details for Kharif and Rabi seasons3

• Wheat was the key crop this

year contributing to 66% of the

cropped area

• ‘Others’ including fodder

crops such as berseem, oats

and napier grass were

promoted

more in the third year

compared to food crops in

previous years.

• CSA farmers also adopted seeds

of wheat and berseem and

comprised 32% of total farmers

• Gram (Rabi/winter crop) and

Rice (Kharif/ summer crop)

were the key crops last year

comprising 66% of total

cropped area of the demo plots

• Wheat (Rabi or Winter crop)

and Bajra (Kharif/ summer

crop) have been the key crops

promoted in the district, with

only Wheat being promoted

last year


Page 20 of 78

b) ICT based agro-advisories

The project has partnered with IFFCO Kisan Sanchar Ltd, an ICT provider, to disseminate

weather and climatic information using existing scientific knowledge and farm conditions

(Figure 6). This information, sent in the form of voice calls and messages includes inputs related

to new agricultural practices, livestock related information, markets and prices, along with real-

time weather forecasts. The information is scheduled as per the cropping cycle of the production

system and is localized as per farmers’ interest and feedback. Apart from the push advisory

system, the farmers also have access to a toll free helpline number to resolve any related query.

Figure 6: Model for ICT based agro-advisory services adopted in the project locations4

A short telephone survey was undertaken during this year to understand the farmer’s experience

of the service and assess the model’s sustainability. The objectives of this survey were to

understand farmer preferences of advisory format and subject, use of advisory, and willingness

to continue the services in the future. A stratified random sampling was done based on the

Average Listening Duration (ALD) with the four strata’s being (i) Completely inactive (0sec), (ii)

Inactive (1-10 seconds) (iii) Moderately active (11-30 seconds) (iv) Active (31-60 seconds). A total

of 200 farmers, 50 from each of strata, were selected in each district.

Table 2 summarizes the results of the survey. Majority of the farmers across districts prefer the voice

messages compared to the text messages as it is easier to understand. While crop related advisory is

highly preferred in Betul and Nalanda, Mathura farmers prefer weather related advisory as much as

crop based. Based on discussions with farmers, a possible reason for this appears to be the higher

3 For detailed figures, refer appendix C (Progress of project activities by quarter) 4 In Betul, 1,400 farmers are connected with services on mobile phone from IKSL. The rest are receiving agro

advisory through Agro Advisory centers established in their villages. They receive information through loud speaker

each day due to absence of mobile phone network in their villages.

Y1 (2016-17) Y2 (2017-18) Y3 (2018-19)

3,725

11,250 11,250

Number of farmer beneficiaries in

75 project villages


Page 21 of 78

reliability and acceptability of mobile based weather information in Mathura compared to other

districts. The information provided has been proven useful for most of the farmers in the three

districts and they have used the information to implement changes in the field within a few days.

Almost all farmers expressed interest in continuing the services post project period however the

willingness to pay was not in accordance, ranging from 54% of respondents in Betul to only 23% in

Nalanda.

Table 2: Response of farmer survey of ICT based weather and agro-advisory services

Betul Mathura Nalanda

Preferences

for

information

format

Preferences

for

information

subject

Usefulness of

information

received

Time taken to

use

information

Interest in

receiving

information

after project

ends

Willingness

to pay for

future

services

c) Focus on water-smart interventions in Betul

Betul district has a high level of drought probability and faces climate risk of delayed monsoons

during the Kharif season as well as less overall rainfall during Rabi season. Lack of water as well


Page 22 of 78

as irrigation facilities limit the regions crop production and productivity. Understanding the

importance of efficient water usage, the project focused on developing water-smart interventions

in the district this year. Four types of structures were developed as detailed in table 3. This

intervention has benefitted 107 households and increased irrigated area by 51 hectares till date.

Majority of the structures were financed through convergence.

Table 3: Details of water-based interventions in Betul

Number of

units

Number of

beneficiary

farmers

Total area

irrigated (Ha)

Contribution through

convergence (%)

Wells 36 48 36.4 56

Farm ponds 35 35 8.1 71

Check dams 4 12 4.0 100

Micro-

irrigation 12 12 2.4 100

Total 84 107 51 80

This was a participatory exercise involving regular discussions with farmers, water user groups,

government officials as well as the local governing body (panchayat committee). Discussions

with the Village Climate Management Committees (VCMCs) helped in identifying farmers

based on well availability, crops grown and groundwater levels. Group wells were identified

based on groundwater recharge zones. All plans for developing structures including wells, ponds,

checkdams as well as use of micro-irrigation systems such as drip irrigation were discussed with

the gram panchayat to explore options for convergence. As a result of all these efforts, the

promotion of water-smart interventions was able to benefit 107 households and increase irrigated

area by 51 hectares.


Page 23 of 78

Insert Section 2

Section 2: Developing

community resilience


Page 24 of 78

Section 2: Developing community resilience

Building resilience at the societal level involve multiple approaches including capacity

development through regular trainings, and involving all social groups, with a focus on gender

inclusion, across activities. These promote collective action that can strengthen the social norms

and processes of the society which in turn enables better adaptation to climate risks.

a) Training and capacity building5

Resilience development is a long-term process that requires consistent efforts to train and build

capacity of all stakeholder, especially the farmers. Regular trainings are required for efficient and

effective adoption of CSA technologies and practices. The training mainly includes

implementation of CSA package of practices in the farmers’ field, time and method of CSA

technology application, preparation and importance of organic fertilizers, pesticides and

vermicompost, as well as livestock related activities. Trainings on use of weather information

and agro-advisory services and enrolment in the agriculture insurance program are also provided.

The project held a total of 232 trainings and capacity building activities for 6,281 farmers in this

year. The focus of trainings has been more towards livestock in Betul and CSA practices in

Nalanda and Mathura. Female participation has also been higher across districts this year with

32% of participants being female compared to only 13% last year. Figure 7 highlight the

progress in the last two years across the three districts.

5 For detailed figures, refer appendix C (Progress of project activities by quarter)


Page 25 of 78

Figure 7: Details of trainings conducted in the last two years in the project districts

b) Institutional development

Local institutions support the CSA technology transfer process by keeping all stakeholders

connected with each other. These are primarily community-based approaches that support

collective action and decision making to promote climate change adaptation. Two types of

institutions have been formed to enable technology access to the farmers.


Page 26 of 78

Custom Hiring Centers

Picture 2: Women of Custom Hiring Center in Betul district

The institution of Custom Hiring Centers (CHC) have been established with the objective of

ensuring technology transfer to the local community through an institutional and business-oriented

approach. Managed by women farmers, these institutions also contribute to gender integration and

empowerment in the farm community. Given the small landholdings of farmers combined with a

minimal investment capacity for new technologies, the CHC promotes a technology hiring

mechanism to overcome affordability barriers. Therefore, by making CSA technologies available

at a rental cost, the CHCs are enabling farmers to overcome the technology access issue,

facilitating efficient use of inputs, promoting use of CSA to farmers in and around their locality,

and earning a source of income for its members. There are 13 Custom Hiring Centers established

across the three districts who provide 10 major technologies for dissemination among the farmers

(details in Table 4). Knowledge sharing and capacity building sessions followed by participatory

discussions with farmers enabled the selection and shortlisting of technologies to be promoted

through the centers.

Table 4: Major technologies provided through the CHCs in the project districts

Activity Betul Nalanda Mathura

Y2 Y3 Y2 Y3 Y2 Y3

Number of operational CHC 5 5 2 4 4 4


Page 27 of 78

Total women members 66 41 24 44 48 51

Number of equipment’s provided through the centers

Spray pump 2 10 - - 20 20

Harvesting Machine (Hand

and motor operated)

1 1 2 4 8 8

Cono-weeder 2 50 6 4 4 4

Rotavator - - - - 4 4

Paddy Transplanter - - 2 4 - -

Sprinkler Irrigation 1 29 2 4 - -

Zero Tillage/Seed drill - - 1 4 - -

Solar Pump 5 5 - - - -

Automatic potato planter - - - - - 4

Table 5 lists the rental incomes, and coverage by CHCs of the three districts. In the last one year

the CHCs services have been hired by 276 farmers and covered 127 hectares of area. Nalanda

CHCs have performed better than the other districts not just in terms of incomes but also in terms

of reach and area covered. This is due to higher awareness among farmers about mechanization as

well as affordable pricing by the CHCs in Nalanda. While Zero Tillage and paddy transplanter

contributed 57% to total incomes, sprinkler has also been a widely adopted water smart technology

rented by 33% of the farmers in Nalanda. Similarly, in Mathura, potato planter has been the most

revenue generating equipment.

Table 5: CHC details in the three districts

Rental

Income

earned by

CHCs

Total rent received for use of technologies (Rs.)

Number of

farmers who have

used the CHC

services

Potential area covered

through CHC

equipment in

Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y3 Y3 (Ha)

Betul 2,675 7,860 2,465 4,330 370 695 52 23.8

Mathura - 21,725 19,450 - - 2,275 92 44.1

Nalanda 4,159 21,020 4,700 700 9,230 6,390 132 58.6

Cattle Development Centers

Livestock in the study areas is characterized as low yielding cattle having a poor rate of

conception, poor quality germplasm, and inadequate animal health care. Further, climate stresses

such as drought, heat stress and excess rainfall further affect the health and productivity of the

animals. Therefore, Cattle Development Centers, one each in the three districts have been

established to promote improved breeds of cattle, provide better healthcare for the animals and

build capacity of farmers to better manage their livestock to reduce adverse climatic impacts on

them. Youth participation is encouraged for managing the activities of the institution and

promote the use of CDC interventions to farmers in their villages. These institutions are directly

linked with the local research centers to update them about the latest technologies, practices and

breeds in the field.


Page 28 of 78

Picture 3: Livestock health/infertility camp organized by the Cattle Development Centre in Nalanda district

Table 6 provides the details of the services offered by CDC and their coverage in the three districts

since the beginning of operations. Livestock is a major part of Mathura’s rural economy and

therefore the focus on CDC is more there as compared to other districts. During this year the focus

has mostly been on the AI for cow and buffalo. The number of farmers availing AI services (1,665)

increased by 51% this year compared to previous year, especially in Betul. Also, farmers

purchasing mineral mixture for cattle feed almost tripled this year. In addition, goat breeds have

also been promoted and are being provided with natural services for rearing in Mathura and Betul.

Additionally, some farmers in Betul have also availed of the sorted semen services in this year.

Table 6: Details and coverage of services offered by the CDCs since second year

District

name

Service in

CDC(a)

Price per

service

(Rs.)

Unit of

price

Number of farmers availing service Number of animals covered

Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3

Mathura

AI general 100 Per AI 700 854 200 230 210 214 1,200 882 210 238 210 224

AI Sorted

Semen

250 Per AI 120 173 40 70 61 2 150 177 40 74 61 2

Mineral

Mixture

65 Per kg 50 523 175 211 137 - 100 1,046 350 422 274 -

Deworming

Tablet

8 Per

Bolus

2,500 486 195 195 96 - 5,000 972 390 390 192 -

Infertility

Camps

- - 600 695 600 95 - - 600 862 712 150 - -

Barberi

goat

- - - - - - - - - 13 -

Nalanda

AI general 100 Per AI 250 206 220 178 108 - 220 624 250 282 92 -

Mineral

Mixture

47.5 (50%

subsidized)

Per

animal

/kg

413 692 331 141 220 - 331 694 413 50 231 -


Page 29 of 78

Deworming

Tablet

7.15 (50%

subsidized)

Per

Bolus

1,466 1,374 1,173 76 125 - 1,173 1,635 1,466 41 128 -

Infertility

Camp

20 per

farmer

546 332 332 - - - 332 546 546 - - -

Betul

AI general 100 Per AI 146 393 46 117 23 207 295 422 162 141 64 55

AI sorted

semen

350 Per AI - 39 - - 15 24 - 54 - - 15 39

Mineral

Mixture

120 Per

animal/

farmer

36 180 - 180 - - 100 385 - - - 385

Deworming

Tablet

5 Per

Bolus

105 203 58 145 - - 403 647 142 505 - -

Infertility

Camp

- - 284 170 - - - 170 1,854 478 - - - 478

Vaccinatio

n

- -

194 79 13 35 67

- 695 97 - - 598

Sirohi Goat - - - - - - - 10

A total of 1,754 AIs have been conducted this year making it a cumulative of 3,414 AI during

project period, as shown in table 6. The cumulative success rate for pregnancy this year has been

61% on an average with a total of 641 new calves being born in Year 3 compared to 76 in Year

2. These new calves are expected to be more productive and less vulnerable to the weather

stresses. The breed improvement program is in accordance with the state specific guidelines for

breed improvement across project districts.


Page 30 of 78

Table 7: Details and coverage of Artificial Insemination

Sr. No Animal type

AI details

Total AI Success rate of AI diagnostics

(confirmed pregnant)

Y2 Y3 Q1Y

3

Q2Y

3

Q3Y

3

Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3

Betul Cow 205 288 85 71 64 68 58% 58% 48% 50% 46% 87%

Buffalo 102 202 77 70 21 34 77% 53% 45% 47% 49% 71%

Sorted AI

(Cow/

Buffalo)

- 54 - - 15 39 - 86% - - - 86%

Mathura AI (Cow &

Buffalo)

1,27

6

968 263 257 222 226 60% 68% 55% 53% 59% 104%

Sorted AI

(Cow)

- 193 50 78 63 2 - 73% 69% 48% 102% -

Nalanda Cow 224 251 88 84 79 - 45% 47% 45% 48% 49% -

Buffalo 58 81 37 37 7 - 28% 44% 44% 43% 44% -

Sorted AI - 5 - 3 1 1 - - - - - -

Total 1,66

0

1,75

4 515 529 408 302

Sr. No Animal type Calves born

Male Female

Y2 Y3 Q1Y

3

Q2Y

3

Q3Y

3

Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3

Betul Cow 5 53 17 12 10 14 3 42 8 12 8 14

Buffalo 1 32 9 11 4 8 0 36 14 8 3 11

Mathura AI (Cow &

Buffalo)

30 201 45 58 79 19 32 136 39 33 53 11

Sorted AI

(Cow)

- 2 2 - - - - 44 2 2 40 -

Nalanda Cow 3 34 6 11 17 - 2 37 9 10 18 -

Buffalo 0 12 2 4 6 - 0 12 4 4 4 -

Total 39 334 81 96 116 41 37 307 76 69 126 36


Page 31 of 78

c) Gender and social inclusion

Women empowerment has been a focus area in the project’s climate change adaptation

initiatives in agriculture. Integrating considerations of women farmers into adaptation plans can

help to ensure effective implementation on the ground. It can help to reduce the gender gap in

agriculture and promote gender equity in decision making and adoption of new agricultural

technologies and practices. Enhancing women farmer’s knowledge and skills and supporting

their empowerment can make climate change adaptations more effective. Therefore, the project

has adopted a systematic approach to integrate gender across the key stages of adaptation (Figure

8).

Figure 8: Integrating gender across the across the key stages of adaptation

Gender integration started from baseline assessment and majorly involved collection of gender

disaggregated data related to agricultural activities, climate risks impacts and socio-economic

differences at household and community levels. Women’s participation and role in

agricultural activities and decision-making process was considered as a basis for technology

intervention design. The adaptation design focused on identification and prioritization of gender

friendly climate smart agricultural technologies, practices and services. All women super

champion and champion farmers were trained on seed treatment, nutrient

application, intercropping of wheat with legumes and mustard crops and water use efficiency

improving technologies. Additionally, women farmers across the project locations were given

sessions on use of recommended dose of chemical fertilizers, inclusion of farm yard manures

(organic) and preparation of organic pesticide/insecticides through several knowledge sharing

sessions. Figure 9 highlights the increase in women’s participation in trainings and capacity

building exercises since the last two years.


Page 32 of 78

Figure 9: Increase in percentage of female participants in trainings in the last two years

Project intervention have enabled empowerment of women farmers through women led

groups, primarily in the form of increased access to climate and market information, community

participation and group-based agency. Listed below are project related achievements that

highlight some of the key indicators of women empowerment:

• Improvements in agency, leadership and community participation:

o In Betul, one woman was selected as a Super Champion, 14 women were

Champion farmers and 134 CSA women and men farmers participated from each

of the 25 villages to lead the technology implementation for creating evidences.

These farmers were provided training and capacity building exercises for

implementing the portfolio of technologies and practices in their farms.

This has led to increased recognition and leadership in the community, access to

knowledge and information, as well as improved participation

in household decision making.

o The intervention has resulted in active participation of women in community

groups, encouraging their participation in CSA related activities in agriculture. In

addition, they also actively seek participation in activities related to health,

nutrition and sanitation, conducted by other local agencies in their villages. For

instance, women in two of the districts of Betul are also involved in programs

such as WASH within which they are benefitting from activities such as vegetable

cultivation, smokeless chulhas, bathrooms and toilets. By participating in multiple

initiatives, therefor, women are being exposed to a wide portfolio of agricultural

as well as domestic interventions, thereby improving their awareness and interest

levels.


Page 33 of 78

o Women participated equally in the technology prioritization and community

consultation process, ensuring their production preferences were also addressed

• Improved access to resources:

o ICT based agro-advisory and climate information is being provided to 3,725

women farmers in Betul through mobile phones owned by them or their spouse.

In villages with limited phone connectivity, women farmers can access

information through community-based sources including daily public

announcement on loudspeakers and written messages on notice boards.

o Institutional innovations including Custom Hiring Centers have enabled

technology access especially to women farmers

• Reduction in labor

o Interventions such as Direct Seeded Rice and Biogas are helping women reduce

the labor related to transplanting and fuel wood collection, respectively. In

addition, provision of technologies such as cono-weeder and harvester are also

reducing the time taken for agricultural activities for women farmers


Page 34 of 78

Section 3.

Environmental Resilience


Page 35 of 78

Section 3: Mitigating climate impacts on environment through reduction in GHG

emissions and improving nutrient use efficiency

Overall environmental sustainability can be achieved by enabling a reduction in Greenhouse Gas

(GHG) emissions as well as improving resource use efficiency. Effectively managing natural

resources can improve the capacity of the system to adapt better to climate risks and also assist in

improving the overall productivity of the system. The section below exemplifies the

environmental resilience component using data from Rabi and Kharif in the last two years.

a) Improving resource use efficiency through improved nutrient management

As a result of continuous training, awareness generation and capacity building exercise, farmers

in all the three districts have reduced usage of excess amounts of fertilizers and pesticides such as

Urea and DAP in all crops. As a result, farmers have saved input costs and also achieved a

reduction in nitrogen usage leading to lower emissions. Table 8 shows the changes in nitrogen use

efficiency across all crops in each district. The efficiency has been calculated by dividing the crop

yields (output) with the nitrogen content of fertilizers (input). The significant increase in efficiency

is due to two factors: reduction in fertilizer input as well as increase in yield outputs.

Table 8: Changes in nitrogen use efficiency across all crops

Crop Nitrogen use efficiency

(yield output/ nitrogen input)

% improvement over

baseline in nitrogen use

efficiency per hectare

Baseline Y1 Y2 Y2 Y3

WHEAT

Betul 28.26 46.04 97.74 62.9% 245.8%

Mathura 26.95 54.20 139.13 101.1% 416.2%

Nalanda 23.30 14.39 41.85 38.3% 79.7%

RICE

Betul 16.43 - 21.26 - 29.4%

Nalanda 15.76 53.68 65.66 240.6% 316.6%

GRAM

Betul 41.39 43.82 52.69 5.9% 27.3%

BAJRA

Mathura 27.91 54.83 102.62 96.5% 87.2%

b) Reduction in Greenhouse Gas (GHG) emission

Reduction in emission through Nutrient Management

Excess usage of inorganic fertilizers such as Urea contributes to the increase in emission of the

greenhouse gas. This can be managed through integrated approaches to the management of


Page 36 of 78

nitrogen fertilizer such as Integrated Nutrient Management which advocates reduced amounts and

more strategically placed inorganic fertilizer. Through our project, we have promoted the reduction

in Urea input by replacing some of it with Vermicompost for all crops, which has resulted in

reduced usage of Urea as well as lower emissions. Table 9 shows that the practice has resulted in

an average of 63% reduction in overall CO2 emission per ton of crop production this year versus a

46% reduction last year by reducing the amount of Urea inputs this year. Emissions were calculated

using the CCAFS MOT tool.6 These results reflect the reduction from the 1,293 acres of demo

plots of the four crops in the three districts.

Table 9: Reduction in emission intensity

Crop Emission intensity –

(Kg CO2 per Kg production)

% change

Baseline Y2 Y3 Y2 Y3

WHEAT

Betul 0.37 0.11 0.07 -71.4% -80.2%

Mathura 0.40 0.10 0.10 -74.9% -74.2%

Nalanda 0.46 0.60 0.15 -29.3% -68.2%

RICE

Betul 4.40 - 1.35 - -69.2%

Nalanda 3.83 0.64 1.41 -83.2% -63.2%

GRAM

Betul 0.81 0.50 0.49 -37.5% -39.0%

BAJRA

Mathura 0.44 0.27 0.25 -38.7% -43.7%

Reduction in emission through Manure Management

Table 10 explains the estimated amount of GHG reduction through the use of Biogas in project

districts. There are a total of 32 Biogas of 2 cubic meter capacity in the three districts, 6 in Betul,

13 in Nalanda and 13 in Mathura. Firewood burning as a cooking fuel is used only in Betul and

hence the calculation is done only for 6 Biogas systems in the district. The emission from fuel

wood is based on the following formula by IPCC:

EmissionsGHG,fuel = Fuel ConsumptionFuel x Emission FactorGHG,fuel

Where, Emissions GHG,fuel = emissions of a given GHG by type of fuel (kg GHG), Fuel

Consumption fuel = amount of fuel combusted (TJ), Emission Factor GHG,fuel = default emission

factor of a given GHG by type of fuel (kg gas/TJ).

Table 10: Estimated reduction in emissions from usage of Biogas7

Estimated GHG reduction from using cow dung Details Amount of cow dung used per Biogas 25 Kg/Day

Dung produced per animal 10 Kg/Day

6 The CCAFS-MOT tool combines several empirical models to estimate GHG emissions from different land use.

Available at https://cgspace.cgiar.org/handle/10568/67027 7 Sources: ILO. 2014. a) Field survey; b) The economics of biogas. Creating green jobs in the dairy sector in India.

Available at https://www.ilo.org/global/topics/green-jobs/publications/WCMS_242911/lang--en/index.htm; 2006

2006 IPCC Guidelines for National Greenhouse Gas Inventories

https://cgspace.cgiar.org/handle/10568/67027

https://www.ilo.org/global/topics/green-jobs/publications/WCMS_242911/lang--en/index.htm


Page 37 of 78

Number of animals required to produce dung (1) 2.50

Emissions per animal per year (2) 1.6 tons of CO2 eq.

Yearly emissions by anima per BioGas (3= 1x2) 4.00

Total number of Biogas in project areas (4) 32

Total annual GHG (methane) emission saving from project Biogas (3 x 4) 128 tons of CO2 eq.

Total estimated GHG reduction from replacing firewood Details

Firewood usage before Biogas 1.760 Ton/Yr

Firewood usage after Biogas 0.208 Ton/Yr

Firewood usage reduction 1.552 Ton/Yr

Number of Biogas in Betul district 6

Total firewood saved in Betul (Ton per year) (5) 9.31 Ton/Yr

Amount of fuel combusted (6) 0.015 TJ/Ton

Emission factor for wood (7) 112 Kg CO2/TJ Total estimated GHG (CO2) emission saving from firewood replacement (5x6x7) 15.6 tons of CO2


Page 38 of 78

Section 4.

Sustainability and Scalability


Page 39 of 78

Section 4: Sustainability and Scalability of project interventions

Sustainability and scalability of project interventions has been an integral part of the project

implementation strategy from the very beginning. In the past three years, the project has

endeavored to build the capacity of farmers and communities through various approaches to

make project activities self-sustaining. Below are a few approaches:

a) Knowledge and skill development

Apart from regular trainings related to adaptation implementation, farmers are also exposed to

field visits or visits to the local university to gain additional practical knowledge related to both

existing practices as well as new practices. Additionally, farmer fairs are also organized to

involve large number of farmers and highlight the adaptation benefits to non-project farmers. All

these events serve as a cross learning platform for farmers and enable scaling out of the

technologies and practices to neighboring areas. Table 11 highlights the number of such events

in the three districts. In the last one year, 22 such events have taken place, covering more than a

1,000 farmers, out of which 19% were females.

Table 11: number of farmers’ field days and fairs conducted

District Number of events

Total farmers Total male farmers Total female farmers

Y2 Y3 Y2 Y3 Y2 Y3 Y2 Y3 Betul

2 7 1,54

0 296 25 261 15 75

Mathura 14 6 292 295 286 259 6 36 Nalanda 4 9 168 457 150 365 18 92 Total

20 22 2,00

0 1,048 461 885 39 203

b) Convergence with government programs8

The project is working in coordination with multiple government departments and agencies. As a

result, it is also converging its activities with those of other government schemes and programs,

such as Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGS), and

National Mission for Sustainable Agriculture (NMSA). This is enabling the spread of weather

smart technologies and practices to other farmers in the project districts. As shown in figure 10,

the project has managed to converge an amount of approximately Rs. 191 lakhs (approx. USD

270,506) through multiple schemes across the three districts this year, cumulating it to Rs.295

lakhs (approx. USD 416,193) since inception. More than 7,100 households have benefitted by

convergence this year (approx. 14,000 in total since inception) in both agriculture and livestock

related activities. New seed distribution and soil health cards have been the most penetrated

8 For detailed figures, refer appendix C (Progress of project activities by quarter)


Page 40 of 78

activities in agriculture in Betul followed by water-based interventions including sprinkler. New

seed distribution in Mathura and Horticulture training in Nalanda have been the major activities.

The project has also attracted the visits of government officials in Betul and Nalanda district

where they have seen the paddy demo plots and azola units, respectively.

The process of convergence begins with the project teams meeting farmers for discussing issues

that farmers face related to agriculture such as access to seeds, information about new techniques

etc. This is followed by a meeting with the government officials in which the government is

made aware of the farmers’ situation and the project team is provided with information regarding

the governments ongoing agricultural schemes. Based on the requirements then the relevant

scheme information is passed onto the farmers and the project team assist the farmers in

accessing the schemes’ benefits (by helping them in filling out form and delivering their

application to the concerned government authorities). This entire process takes up to 3 months.

Additionally, the project team has facilitated the development of several water structures

(ponds/wells/check dams) to manage water resources in Betul district. These structures will

continue to benefit beneficiary farmers and the adjoining communities well beyond the life of the

project.


Page 41 of 78

Figure 10: Amount of convergence and beneficiaries under different schemes


Page 42 of 78

c) Scaling framework

The CSA technology adoption and dissemination model (Figure 11) aims to highlight the

process of building climate resilience of a large number of farmers in a systematic and

sustainable manner. The model, implemented by the project in the three districts, promotes

the adoption of CSA technology and services through multiple activities centered on the hub and

spoke method. The hub and spokes are supported by the various elements of the enabling

environment, who continuously interact with the key actors of the model, the Super Champion,

Champion and CSA farmers. At the same time, the model also encourages incorporating the

impacts of technology adoption to make the model more relevant for scaling out.

Figure 11: A schematic illustration of the CSA technology adoption, highlighting the inputs to and the results of

technology dissemination and adoption through the model for building climate resilience.

Several participatory activities such as farmer field visits and farmer fairs facilitate the working

of the hub and spoke method. Champion, and CSA farmers are regularly taken to the demo fields

of Super-Champion farmers to understand the weather smart interventions on the field and the

difference in outputs between the demo and regular plots. Similarly, during farmer fairs, the


Page 43 of 78

participants are exposed to the different types of weather smart technologies and practices that

the Super Champion and Champions are implementing. They are also shown some of the demo

plots to understand the benefits of changing the traditional cropping practices. This ensures the

spread of knowledge and the initiation of interactive learning among the farmers.

Implementation of the model in a participatory manner and reducing knowledge barriers for

farmers are essential to ensure sustainable results of the model. Additionally, strengthening of

the model through south-south learning can further add to its relevance for

farmers. Learning’s from the project highlight the willingness of farmers to contribute to the

model when it is designed as per their suitability and needs. The project has therefore ensured to

work in partnership with community stakeholders to set expectations and brainstorm actionable

steps for successful implementation of the model itself. Two key examples in this regard are as

follows:

• Farmers contribute up to 25% of technology cost: From the very beginning, the

project has ensured that all selected Super Champion and Champion farmers also

contribute a share of the portfolio cost that is being implemented on their fields.

Farmers are contributing up to 25% of technology cost in their fields or households,

which includes demonstration plots, installation of biogas plants, azola ponds, etc.

• Paid services thru community-based institutions: The project has promoted

community-based institutions such as Cattle Development Centre which offers

Artificial Insemination services for breed improvement in the range of Rs 100 – 250,

sale of mineral mixture, and on call para-vet services for which a farmer must pay.

These services are available not just for the enrolled farmers in the project but also for

all community members. Improvements in livestock development will continue to

benefit farmers beyond the life of the project. Similarly, the custom hiring centers

have made farm machinery accessible for villagers in project districts. The equipment

is available on rent for the entire community. These community-based institutions

promote a ‘payment model’ to seed the concept of self-reliance and entrepreneurship

in rural communities. In the past three years, there has been an increase in the uptake

of services from the cattle development services and custom hiring centers, and the

project team anticipates continued usage of services from these community centric

institutions beyond the life of the project.

In the extension phase the project team will continue to explore options for sustainability and

scalability of project activities through

• Village level resilience plans: the project team will develop a blueprint of climate

resilience plans for all 75 villages. These plans will be shared with the ‘Gram

Panchayat’/ District level officials to outline areas of future intervention to make

communities climate resilient and where possible create greater convergence with on-

going national flagship programs to cope with climate variability and extreme

weather events.


Page 44 of 78

• Explore partnerships with Agribusiness/ CSR Funds/ Philanthropies: In the

extension phase, the project team will attempt to explore partnerships with agri-

businesses, CSR Funds and philanthropic organizations to scale out the concept of

‘Climate Smart Village’ in India.

• Development of material to potentially train village-based carder: The project

will develop a document detailing the process of convergence that will include key

steps as well as challenges involved across different stages of convergence. This

document may be utilized to train a village-based cadre of progressive farmers or

village youth to continue engagement with government officials in the ministry of

agriculture, extension department, KVK/ATMA to update communities on

government programs and technological advancements.


Page 45 of 78

C. Target performance indicators for Second Year (2018-19)

This project has following target for the year 2018-2019:

➢ Field demonstration of CSA technologies and practices including ICT and insurance with

all 75 super champion farmers (25 in each project site) and 1050 champion (350 in each

project site)

➢ Provision of adapted seeds to 2,195 farmers in 25 villages located in weather risk prone

areas

➢ 11,250 farmers benefited through participatory videos of CSA technologies, practices and

services

➢ More than 20% female farmer/farmer group’s involvement in the CSVs

Table 12: Target output and input indicators based on work plan Output Indicator Target for

second year

Achievements

Productivity

➢ Average change in yield

(tons per hectare of crop

land)

25%

improvement

from the baseline

Yield (t/Ha) Change in yield

WHEAT Baseline

Rabi 2019/

Kharif 2019 Actual (t/ha) %

Betul 3.23 3.42 0.19 5.9

Mathura 2.89 5.34 2.45 84.7

Nalanda 2.54 4.42 1.88 73.8

GRAM

Betul 0.74 1.20 0.46 61.5

RICE

Betul 1.95 2.6 0.64 32.9

Nalanda 2.20 4.48 2.28 103.5

BAJRA

Mathura 1.5 2.36 0.86 57.3

Income

➢ Average change in income

(Rs per hectare of crop

land)

25%

improvement

from the baseline

Income (Rs./Ha) Change in income

WHEAT Baseline

Rabi 2018/

Kharif 2017

Actual

(Rs./ha) %

Betul 52,455 62,872 10,417 19.9

Mathura 47,005 98,302 51,297 109.1

Nalanda 41,307 81,298 39,991 96.8

GRAM

Betul 29,698 55,394 25,695 86.5

RICE

Betul 28,710 46,460 17,751 61.8

Nalanda 32,352 78,366 46,015 142.2

BAJRA

Mathura 19,971 46,065 26,094 130.7

Input Use Efficiency

➢ Average change in, nutrient

use efficiencies in CSA

farms

25- 50%

improvement

from the baseline

% increase in nitrogen use efficiency per hectare

Crop Baseline

efficiency

Midline

efficiency

Change

WHEAT

Betul 28.26 97.74 245.8%

Mathura 26.95 139.13 416.2%

Nalanda 23.30 41.85 79.7%

RICE

Betul 16.43 21.26 29.4%

Nalanda 15.76 65.66 316.6%

GRAM


Page 46 of 78

Betul 41.39 52.69 27.3%

BAJRA

Mathura 27.91 102.62 87.2%

Reduction in emissions

➢ Average change in

emission intensity (CO2

/ton of food production)

from the CSA interventions

25%

improvement

from the baseline

Crop Change in emission intensity

WHEAT

Betul -80.2%

Mathura -74.2%

Nalanda -68.2%

RICE

Betul -69.2%

Nalanda -63.2%

GRAM

Betul -39.0%

BAJRA

Mathura -43.7%

Input indicator Achievements

Number of farmers/farm households who have

implemented CSA technology and practices

Super-Champion Champion CSA

75 1,050 10,125

Number/amount of technologies or management

practices under research, under field testing, or made

available for transfer as a result of project assistance


16 11 5

Number of acres of land under CSA technology and

practice with project assistance


205 1,305 1,431

Number of trainings, workshops, farm visits, farm fairs

provided to farmers as well as stakeholders organizations A total of 232 trainings and 22 farmer field days during the year

involving a total of 7,329 farmers

Number of farmers or farm households have access to

weather based agro-advisory, market information and

agriculture insurance 11,250


Page 47 of 78

D. Monitoring and Evaluation Activities

Midline Survey

The midline survey was conducted to provide an information base against which to monitor and

assess progress and effectiveness after the activity is completed in the project. The survey provides

data that helps to assess project outputs, contribution to project outcomes and impacts. The specific

objectives of the midline survey were:

• To serve as the second measure of all main program indicators as per the Performance

Indicator

• To highlight the project achievements since inception against the indicator targets described

in the Indicators of Performance

• To gather data that can inform project implementer regarding the areas that are on track or

those that need further attention to achieve project outcomes.

The midline surveys were conducted in all three project districts, Mathura (Uttar Pradesh), Nalanda

(Bihar) and Betul (Madhya Pradesh) to capture the results of the activities in both the Kharif (2018)

and Rabi (2019) seasons. In each districts 25 villages are part of the project. These 25 villages

represent different agro-ecological and socio-economic characteristics of the selected States. In

each of these villages, data was collected from the Super-Champion and Champion farmers on

their use of CSA technologies and practices and the resulting yields and income.


Page 48 of 78

E. Field Visits

Every month at least one visit has been done by project leader or field coordinator in the project

districts. In addition, experts from CCAFS have visited several times during 2018-2019. Some

pictures of field visits in the project sites are included below.

Betul: Visit by govt. official to paddy demo plot Betul: Farmer field day

Mathura: Farmers visit to GB Pant Agriculture University Mathura: Farmers training (convergence activity)

Nalanda: Govt. official visit to Azola plot Nalanda: Napier fodder crop growth


Page 49 of 78

F. Success Stories

Story 1: Promoting sustainable partnerships: Convergence with Government

programs and private sector involvement

Picture: Improved seeds (Left) and ICT based agro-advisory services(right) received by farmers as a result of

government and private sector participation

Converging project activities with ongoing government programs as well as involving private

sector in dissemination of weather-smart technologies and services, is creating a path towards

achieving sustainability of farmer interventions

Government support for adapting to weather risks

The project is working in coordination with multiple government departments and agencies. As a

result, it is also converging its activities with those of other government schemes and programs,

such as Mahatma Gandhi National Rural Employment Guarantee Scheme (MNREGS), and

National Mission for Sustainable Agriculture (NMSA). The project teams are working with

various local government departments including horticulture, veterinary and agriculture to ensure

smooth implementation of the process. In this year, the project has managed to converge

significant amounts of resources. New seed distribution and soil health cards have been the most

penetrated activities in agriculture in Betul while animal vaccinations have benefitted 3,725

farmers in Mathura. In Nalanda, the focus has been on training farmers on package of practices.

The fruits of private sector involvement

Across the three districts, several private players are supplying the different technologies and

services through the NGO partner, ensuring access to new technologies for all farmers. IFFCO

Kisan Sachar Ltd. provides weather and agro-advisory information services to the farmers on a

daily basis. Simialrly, Urja Biosystems supplies Biogas material and companies such as MP


Page 50 of 78

Agro, Kisan Agro, and Devendra Agriculture works provide machinery to the Custom Hiring

Centers. The support of the private sector is benefitting farmers in accessing and efficiently

utilizing weather smart technologies, practices and services as can be observed from the case

below:

Farmer Name – Shambhu Saran

Village – MadhopurGarh Nalanda (Bihar)

Shambhu had been using Urea and DAP in wheat crop as fertilizers, in quantities much larger than

the required amount, and therefore with higher cost of cultivation He had no information source

to guide him for using the appropriate fertilizer input application. However, now, as part of the

project, he is receiving daily messages and a phone call in the morning about the local weather

condition as well as agriculture related information such as best practices, solutions for pests, crop

diseases among others. This has led him to replace DAP with SSP (Single Super Phosphate), a

fertilizer he never knew could be used for Wheat. He has also reduced his quantities of Urea to

avoid excess usage and expenditure on the same. As a result, he has been able to save more than

Rs. 1000 as input cost.

Success so far: In the second year the project has managed to converge an amount of Rs. 191

lakhs (approx. USD 270,506) through multiple schemes across the three districts. As a result,

more than 7,000 families have been able to benefit in the last three months, especially from

Livestock and seed related schemes.

Story 2: Strengthening livelihoods through livestock health and feed

development in Betul and Mathura


Page 51 of 78

Picture: Artificial Insemination (Left) and Animal Infertility Camps(right) services provided to farmers for Cattle

Development in Betul

Increasing number of farmers are availing services for improving cattle breed through the

Cattle Development Center in Betul district, an area where farmers were initially opposed

to the concept of Artificial Insemination

Livestock plays a central role in the villages of Shahpur and Ghodadongari blocks of Betul, both

for agricultural as well as domestic purposes. However, most families in the project area have

been raising low yielding cattle (less than 2 liters a day) which have poor rate of conception,

poor quality germplasm, and lack adequate animal health care. Additionally, due to heat waves

and drought conditions, the animals experience increased diseased conditions and the scarcity of

green fodder in the region further limits their health improvements.

As a solution, the project established the Cattle Development Centers (CDC) in the region, to

provide a portfolio of services to improve cattle health and productivity, especially under climate

stresses. Some of these included Artificial Insemination for improved breed (high yielding and

stress tolerant) of cattle, health camps to promote preventive animal health care, vaccination and

deworming, promotion of green fodder and cattle smart housing for improving cattle sheds.

However, cultural factors such as the sanctity of the cow prevented farmers to take benefit of

these services. Therefore, several awareness and capacity building exercises were organized. The

farmers were also taken to neighboring villages to understand the benefits of these services.

Consequently, the first quarter of the third year itself saw 104 farmers (40% of farmers in the last

one year) taking up the services of Artificial Insemination and Deworming. A total of 476

animals were covered from AI services. In addition, 39 farmers also opted for sorted semen this

year, with 86% confirmed pregnancy. The district has already observed the birth of 664

improved breed calves this year.

Promotion of improved fodder for livestock is helping farmer improve animal health as

well as milk yields in Mathura

Livestock is an important part of livelihood for farmers in Mathura. However, it is characterized

by low yielding variety of cattle as a result of less availability of green or good quality fodder

throughout the year. Additionally, lack of awareness about better fodder variety also limits

farmer’s ability to improve their animal’s health. With increasing climate risks including drought

and less rainfall in the region, availability of green fodder is becoming even more difficult.

Therefore, as an alternative, the project is promoting two types of fodder cultivation, perennial

and seasonal. Under the perennial fodder cultivation system, BIAF Hybrid Napier 10 is being

promoted while Makhan grass is being introduced as part of the seasonal fodder system. The


Page 52 of 78

farmers are seeing benefits of cultivating these two types of grasses though improved animal

health and productivity. Farmer Name – Bhim Sen (Champion farmer)

Village – Hathkauli, Mathura (Uttar Pradesh)

Bhim Sen always had difficulty in arranging for good quality fodder for his animal, especially

during the rainy season. He used to feed green grass to Milch animals and dry fodder to others.

The animals were therefore of poor health and low yielding. The farmer the adopted cultivation

of Makhan grass as improved feed for his animals in 0.5 bigah of land. Since the adoption of

improved feed practice, he has observed an improvement in the quality as well as the quantity

(by 1.5 liters a day) of milk from the animals. He is now able to earn an incremental income of

Rs.50 per day. Now, he is also cultivating both BNH10 as well as Makhan grass and is willing to

promote the same to other farmers too.

Story 3: Providing irrigation access through institutional mechanisms in water scarce district of Betul

Picture: Solar pump beneficiaries and sprinkler irrigation in wheat fields in Betul

Farmers in Betul are now able to irrigate their field using solar pumps and sprinkler at

affordable rates through Custom Hiring Centers

Farmers in Betul were highly dependent on rains, especially during Rabi season, to water their

crops. A baseline discussion with the farmer groups revealed lack of access to irrigation for most

farmers and those who owned pumps incurred high diesel costs. As a result of this, farmers

found it challenging to grow two seasonal crops during the Rabi season, limiting food security

and income.

As a solution, the project is now providing access to irrigation sources to these farmers, in

exchange for a rental cost, through Custom Hiring Centers (CHC) established in five villages in


Page 53 of 78

the district. The CHCs provide Portable Solar irrigation pumps (PSIP) of 1HP capacity along

with a sprinkler set for irrigating Rabi crops such as Wheat. Solar pumps are a portable structure

and are providing users the liberty to transport the system wherever required and as and when

required. The system can be connected to any water source such as river, well, pond etc, to draw

water for irrigation. As a result of these interventions, farmers are now able to cultivate more

than one crop and are also able to improve yields through adequate provision of water.

Farmer Name – Satoka Bai (Champion farmer)

Village – Chunagosai, Betul (Madhya Pradesh)

Sakota Bai owns 2.5 acres of land and before project commencement adopted flood irrigation

technique for wheat crop which provided insufficient water during the maturity stage of the crop

resulting in loss of yield (by 30-40%). As part of the project, she then used the sprinkler set on

1.5 acres of her land along with adopting other CSA practices including improved seed, line

sowing, optimum utilization of fertilizers, and seed treatment. All these interventions resulted in

optimum application of water to the improved crop variety. As a result, she was able to improve

her yields and income by 66%.

Success so far: The solar pumps and sprinkler sets have already been used by 28 farmers across

43 acres and has generated a total revenue of 6,030 in the last one year.

G. Leverage, Cost Share and Financial Monitoring Table 13: Cost share from CCAFS to the project – We will send a revised version of this along with the financial

information FS-425

Cost share from BAIF to the project: 20% of project cost (mainly capital and technical cost such

as office space and equipment, field staff and part of operational cost.

Cost share from farmers: Up to 25% of technology cost

To ensure sustainability of project interventions, the project has ensured that all selected Super

Champion and Champion farmers also contribute a share of the portfolio cost that is being

implemented on their fields. Farmers are contributing across technologies including crop

portfolios, biogas, ICT based advisory service, livestock services (especially Artificial

Insemination) and in custom hiring centers (member contribution).


Page 54 of 78

H. Organizational Learning, Development and Collaboration

1. Encouraging technology adoption through technical trainings: The Custom Hiring Centers

have been formed to help farmers overcome the accessibility barrier and hire technologies at

reasonable rental rates. However, the adoption level of technology remained low, especially

during the second quarter. It was realized that awareness levels regarding the operational

aspects of technology were low and farmers were skeptical on how to use the machines on

the field. To encourage them, the farmers were provided additional trainings by the machine

vendor and/or technical experts who were able to explain the functioning’s of the machines

to the farmers and provide detailed demos on the plots. As a result, there has been an

improved uptake of technology, which will be reflected in the upcoming quarters.

2. Promoting Artificial Insemination sorted semen technology for livestock: In order to boost

cattle productivity, the project is promoting Artificial Insemination (AI) across districts

through Cattle Development Centers. Two types of AI are available, general and sorted

semen. The chances of pregnancy through a general AI are about 50%. However, through

sorted semen, the chances of having a female calf are almost 95%. The two however, differ

in terms of cost. The AI is being provided at subsidized rates of Rs.100 and Rs. 250 per

animal for general and sorted semen, respectively. General AI is being provided in all

districts. The promotion of sorted semen, however, has been challenging despite its

advantages, especially in Nalanda and Betul. The key reasons for non-adoption has been lack

of awareness and trust in technology. However, rigorous capacity building and awareness

exercises have resulted in the commencement of adoption. The progress has been slow due to

the time taken for trust building among the implementing agency and villagers, especially

since the technology is new to them as well as expensive. The importance of the

implementing partner’s presence in the project area prior to project commencement has

therefore been a key learning.

3. Measures to improve women farmers participation in trainings: Women participation in

trainings saw a significant increase towards the third year of the project. There were several

factors that led to this. The first was the targeting of women groups to spread awareness

about trainings (example in Betul). Another was a change in scheduling of trainings based on

the understanding of social norms, as well as time-based availability of women farmers. For

instance, in Mathura separate trainings were held for women farmers in some cases as they

were not very comfortable being part of a group where men were also participating. In

Nalanda, trainings were held based on the availability of women farmers so that they could

also join in the sessions. Efforts were also made to include topics relevant for women farmers

including livestock and skill development. In addition, women in Betul actively

seek participation in activities related to health, nutrition and sanitation, conducted by

other local agencies in their villages. For instance, women in two of the districts of Betul are

also involved in programs such as WASH within which they are benefitting from activities


Page 55 of 78

such as vegetable cultivation, smokeless chulhas, bathrooms and toilets. By participating in

multiple initiatives, therefor, women are being exposed to a wide portfolio of agricultural as

well as domestic interventions, thereby improving their awareness and interest levels.

4. Factors for successful running of Custom Hiring Centers: Custom Hiring Centers (CHC)

in Nalanda district have been able to reach a larger number of farmers compared to other

districts. This has been dues to two key reasons, higher level of awareness about

mechanization and the pricing of the technologies available in the CHCs in the district. The

local government is promoting mechanization effectively in the area and linkages have also

been developed with the local KVKs and agriculture department by the field staff. In Betul

districts, lower levels of awareness have been a key reason for lower uptake of CHC

equipment. Similarly, in Mathura, the seasonal usage of machineries limits the CHC

revenues to particular time periods. Efforts are therefore underway to resolve the challenges

being faced in the other two districts to enable sustainability of these centers.

5. The tribal district experience: Working in a tribal district such as Betul has been a different

experience in comparison to the other two districts which are dominated by a non-tribal

population. The first, and an important, step is to understand the socio-cultural settings of the

tribal community before starting any intervention. This makes it necessary to work with the

overall village community and give field level support continuously. Gaining trust is harder

in case of a tribal population. Group based approaches are more acceptable with these

communities as they operate in groups culturally as well (for instance celebrating festivals

together as a community instead of individually). In terms of capacity building, exposure

visits as a medium of extension is more successful as they find it easier to adopt a strategy

after seeing the results on the field instead of hearing about it during trainings. Tribal women

are more active compared to women from non-tribal communities and it is relatively easier to

involve them in gender focused activities. Interventions related to natural resource

management (including biogas) are more acceptable, given their stronger bond with nature.

All these factors were considered and incorporated while implementing the project in Betul

district.

Main activities for next year (2018-2019) include:

• Complete field and community-based activities, develop village level resilience plans to be

shared with district administration, develop gender inclusive climate resilient strategies, and

strengthen convergence plans with on-going government programs.

• South-South collaboration: stakeholder’s consultation meetings and field visits among some

South Asian Countries. This will comprise of exposure visits

by 20 stakeholders between India and Nepal during the extension period.

• Develop/fine-tune business models for promoting agriculture resilient building technologies,

practices and services in the vulnerable areas. The scaling models would target sustainability


Page 56 of 78

of current interventions/model to generate long-term economic, social and environmental

benefits.

• Synthesis, outreach and dissemination of project results: development of high value

communication materials e.g. policy briefs, scaling guideline/models, InfoNotes, articles

and case studies, and a web portal.

• Capacity building of stakeholders including trainings and farmer exposure visits.

• Third party end-line survey and stakeholder workshops.

MAJOR ACTIVITIES IN THE EXTENSION PHASE

Activity Method Output 1. Complete field and

community-based activities • Complete 4 seasons of field level

interventions in the locations where four

cropping seasons are not completed yet

• Detailed assessment of institutional

approach (local groups) of scaling CSA

technologies, custom hiring centre’s

(CHC) and cattle development centre’s

(CDC)

• Assessment of convergence and

integration at the community level.

Quarterly and annual reports

Case studies of institutional

approach of scaling out CSA

in the community level.

2. Synthesis, outreach and

dissemination of project

results

• Use baseline survey, plot level data and

third-party end line survey for analysis

• Project webpage/ portal on CCAFS

website

Policy briefs, scaling

guidelines including gender

inclusion pathways,

InfoNotes, CSA success case

studies.

3. South-South collaborations

between stakeholders of India

and Nepal

• Cross-country field visits and meetings

with key stakeholders

Report/blog on South-South

collaboration

4. Develop/fine-tune business

models for promoting

agriculture resilient building

technologies, practices and

services in the vulnerable

areas

• Use baseline, plot level and third-party

end line survey

Report on business model for

institutions, and present CSV

approaches in national and

international seminars.

5. Capacity building of

stakeholders

6. Sustainability Pathways

• Farmer fairs and trainings

• National level stakeholder workshop

• Develop/identify resources that can

support communities beyond the life of

the project

Knowledge and skill

development for technology

implementation. Finalize and

publish training materials:

CSA/CSV implementation

guideline based on field

evidences and examples.


Page 57 of 78

A. Anticipated Activities for 2019-2020

Activities Oct-Dec 2019 Jan-Mar 2020 April-Jun 2020

M1 M2 M3 M4 M5 M6 M7 M8 M9

Activity 1: Complete field and community based activities

1.1 • Complete 4 seasons of field level

interventions in the locations where four

cropping seasons are not completed yet

1.2 • Detailed assessment of institutional

approach (farmers CSV groups) of scaling

CSA technologies, custom

hiring centers (CHC) and cattle

development centers (CDC)

• Assessment of convergence and integration

at the community level

1.3 Data collection and analysis at farm and village

level to evaluate preference of technology

Activity 2: Synthesis, outreach and dissemination of project results

2.1

Policy briefs, scaling guideline and models, gender

inclusion pathways, InfoNotes, CSA

dissemination guide books, success case studies.

2.2

Assessment of institutional approach (gender

perspective) of scaling out Climate Resilient

Agriculture


Page 58 of 78

Activity 3: South-South collaborations with stakeholders in India and Nepal

3.1 Visit of farmers and government officials between

India and Nepal in CSVs

Activity 4: Develop/fine-tune business models of promoting agriculture resilient building technologies, practices and services in the

vulnerable areas

4.1 Report on business model for institutions

Activity 5: Capacity building of stakeholders

5.1 Farmers fairs and trainings

5.2 National level stakeholder workshop


Page 59 of 78

B. Media Coverage Received in 2018-19

Magazine Article

• Arun Khatri-Chhetri and Nitya Chanana and (CCAFS South Asia), Empowering women

farmers for climate change adaptation, Apr 2019, Agriculture World Magazine

https://www.researchgate.net/publication/333395261_Empowering_women_farmers_for

_climate_change_adaptation

News coverage

The farmers meeting during Mathura field visit was covered by a local news channel as seen

below:

C. Communications and Dissemination Activities

Webpage

• A project page has been developed on the CCAFS website describing the key objectives,

activities, outputs, and other related information about the project. The page can be

accessed at https://ccafs.cgiar.org/scaling-out-climate-smart-village-program-vulnerable-

areas-indo-gangetic-plains-india#.XY30IPkzaUk

Publications

• Platforms for women result in higher levels of participation. In Gender Transformative

Adaptation From Good Practice to Better Policy (Published by CARE):

https://reliefweb.int/sites/reliefweb.int/files/resources/CARE_Gender-Transformative-

Adaptation_2019.pdf

Blogs

• Nitya Chanana and Arun Khatri-Chhetri (CCAFS South Asia), Meeting farmers in Indian

Climate-Smart Villages, Apr 2019 https://ccafs.cgiar.org/news/meeting-farmers-indian-climate-smart-villages

https://www.researchgate.net/publication/333395261_Empowering_women_farmers_for_climate_change_adaptation


https://ccafs.cgiar.org/scaling-out-climate-smart-village-program-vulnerable-areas-indo-gangetic-plains-india#.XY30IPkzaUk

https://ccafs.cgiar.org/scaling-out-climate-smart-village-program-vulnerable-areas-indo-gangetic-plains-india#.XY30IPkzaUk

https://reliefweb.int/sites/reliefweb.int/files/resources/CARE_Gender-Transformative-Adaptation_2019.pdf


https://ccafs.cgiar.org/news/meeting-farmers-indian-climate-smart-villages


Page 60 of 78

Newsletter Article

• Arun Khatri-Chhetri and Nitya Chanana (CCAFS South Asia), Setting the stage for

south-south learning, Dec 2018

https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-

vol19#.XD8T6TAzaUk

• Nitya Chanana, Arun Khatri-Chhetri, Kunal Pandey (CCAFS) and Rajashree Joshi

(BAIF), Flowering growth through seeds of inclusion, Jan2018

https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-

vol19#.XD8T6TAzaUk

Other communication material shared on the CCAFS website:

1. Brochure: Scaling up resilient agricultural practices, technologies and services in the

vulnerable areas of India (https://ccafs.cgiar.org/fr/node/55012#.XTgVuPkzZaQ)

2. Infonote: Integrating Gender into the Climate-Smart Village Approach of Scaling out

Adaptation Options in Agriculture (https://reliefweb.int/report/india/integrating-gender-

climate-smart-village-approach-scaling-out-adaptation-options) 9

3. Blog: Women-led Climate-Smart Village in India, all set to blaze a trail

(https://ccafs.cgiar.org/blog/women-led-climate-smart-village-india-all-set-blaze-

trail#.XTgUVPkzZaQ)

4. Blog: From trauma to triumph (https://ccafs.cgiar.org/blog/trauma-

triumph#.XcFNq5ozaUm)

5. Blog: Impacts of Climate-Smart Villages: A non-zero sum game

(https://ccafs.cgiar.org/blog/impacts-climate-smart-villages-non-zero-sum-

game#.XcFNq5ozaUm)10

6. Blog: Tending to the crying earth and the weeping shores

(https://ccafs.cgiar.org/blog/tending-crying-earth-and-weeping-shores#.XcFNx5ozaUm)

7. Newsletter article: A stitch in time saves nine (https://ccafs.cgiar.org/publications/csalp-

south-asia-quarterly-newsletter-vol16#.XTlNoegzaUm)

8. Newsletter article: Women farmers call the tune in Betul, Madhya Pradesh

(https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-

vol16#.XTlNoegzaUm)

9. Newsletter article: Improving farmers’ access to climate-smart agricultural technologies


vol17#.XcFN6pozaUm)

10. Newsletter article: Of journeys to the field (https://ccafs.cgiar.org/publications/csalp-

south-asia-quarterly-newsletter-vol17#.XcFN6pozaUm)

11. Newsletter article: Setting the stage for south-south learning


vol19#.XcFN7pozaUm)

9 Also highlighted on: https://reliefweb.int/report/india/integrating-gender-climate-smart-village-approach-scaling-

out-adaptation-options

10 Also highlighted on https://www.agrilinks.org/post/impacts-climate-smart-villages-non-zero-sum-game

https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-vol19#.XD8T6TAzaUk




https://ccafs.cgiar.org/publications/scaling-resilient-agricultural-practices-technologies-and-services-vulnerable-areas#.XTlLROgzaUl

https://ccafs.cgiar.org/publications/scaling-resilient-agricultural-practices-technologies-and-services-vulnerable-areas#.XTlLROgzaUl

https://ccafs.cgiar.org/fr/node/55012#.XTgVuPkzZaQ

https://ccafs.cgiar.org/publications/integrating-gender-climate-smart-village-approach-scaling-out-adaptation-options#.XTlLj-gzaUl

https://ccafs.cgiar.org/publications/integrating-gender-climate-smart-village-approach-scaling-out-adaptation-options#.XTlLj-gzaUl

https://reliefweb.int/report/india/integrating-gender-climate-smart-village-approach-scaling-out-adaptation-options


https://ccafs.cgiar.org/blog/women-led-climate-smart-village-india-all-set-blaze-trail#.XTlL2-gzaUl

https://ccafs.cgiar.org/blog/women-led-climate-smart-village-india-all-set-blaze-trail#.XTgUVPkzZaQ

https://ccafs.cgiar.org/blog/women-led-climate-smart-village-india-all-set-blaze-trail#.XTgUVPkzZaQ

https://ccafs.cgiar.org/blog/trauma-triumph#.XTlMVegzaUl

https://ccafs.cgiar.org/blog/trauma-triumph#.XcFNq5ozaUm

https://ccafs.cgiar.org/blog/trauma-triumph#.XcFNq5ozaUm

https://ccafs.cgiar.org/blog/impacts-climate-smart-villages-non-zero-sum-game#.XTlMregzaUl

https://ccafs.cgiar.org/blog/impacts-climate-smart-villages-non-zero-sum-game#.XcFNq5ozaUm

https://ccafs.cgiar.org/blog/impacts-climate-smart-villages-non-zero-sum-game#.XcFNq5ozaUm

https://ccafs.cgiar.org/blog/tending-crying-earth-and-weeping-shores#.XTlNH-gzaUl

https://ccafs.cgiar.org/blog/tending-crying-earth-and-weeping-shores#.XcFNx5ozaUm

https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-vol16#.XTlNoegzaUm




https://ccafs.cgiar.org/publications/csalp-south-asia-quarterly-newsletter-vol17#.XcFN6pozaUm








https://www.agrilinks.org/post/impacts-climate-smart-villages-non-zero-sum-game


Page 61 of 78

12. Newsletter article: Flowering growth through seeds of inclusion


vol19#.XcFN7pozaUm)

Blog: Meeting farmers in Indian Climate-Smart Villages (https://ccafs.cgiar.org/news/meeting-

farmers-indian-climate-smart-villages#.XcFN75ozaUl)

Other communication material hosted on other sites:

1. Empowering Women Farmers for Climate Change Adaptation (article in Agriculture

World magazine):

https://www.researchgate.net/publication/333395261_Empowering_women_farmers_for

_climate_change_adaptation

2. Platforms for women result in higher levels of participation. In Gender Transformative

Adaptation From Good Practice to Better Policy (Published by CARE):

https://reliefweb.int/sites/reliefweb.int/files/resources/CARE_Gender-Transformative-

Adaptation_2019.pdf



https://ccafs.cgiar.org/news/meeting-farmers-indian-climate-smart-villages#.XcFN75ozaUl

https://ccafs.cgiar.org/news/meeting-farmers-indian-climate-smart-villages#.XcFN75ozaUl






Page 62 of 78

3. Annex

A. FTF M&E Indicator Sheet Indicator Definition of indicator Disaggregation in information

collection

Standard or

Performance

Input Indicator

Number of farmers and

others who have applied

improved technologies

or management practices

with USG assistance

This indicator measures the total number of direct beneficiary

farmers that implement CSA technologies and practices in their

agriculture production system as a result of project assistance.

- Farmer (marginal, small, medium,

large)

- Gender and youth

- Technology type: seed, nutrient, water

and energy management

- Crop (Rabi/Summer/Kharif)

Standard

Number of technologies

or management practices

under research, under

field testing, or made

available for transfer as a

result of USG assistance

This indicator counts the number of new or significantly

improved technologies that are made available for transfer as a

result of project assistance This includes innovations in water,

nutrient and energy use efficiency, value-addition and post-

harvest Technologies and practices to be counted here are

agriculture-related, including those that address climate change

adaptation and mitigation. Significant improvements to existing

technologies and practices should also be counted.




Standard

Number of hectares of

land under improved

technologies or

management practices

with USG assistance

This indicator measures the area (in hectares) of land cultivated

using project promoted improved technology (ies) or

management practice(s) during the reporting year.

- Landholding size (marginal, small,

medium, large)




Standard

Number of trainings,

workshops, farm visits,

farm fairs provided to

farmers as well as

stakeholders’

organizations

Number of people

trained in climate change

adaptation supported by

USG assistance

This indicator refers to the number of capacity building exercises

or improved organization-level technologies or management

practices provided to different stakeholders with project

assistance

- Exercise (training, workshop, farm

visits etc.)

- Stakeholder (farmer, government staff,

NGOs and community based

organizations)

- Gender and youth

Performance

Number of farmers or

farm households have

access to weather based

agro-advisory, market

This indicator measures the total number of direct beneficiary

farmers that have access to weather based agro-advisory, market

information and agriculture insurance and use in agriculture

production system as a result of project assistance.

- Service type: weather information,

agro-advisory, market information,

agriculture insurance

- Gender and youth

Performance


Page 63 of 78

information and

agriculture insurance

Number of people using

climate information or

implementing risk-

reducing actions to

improve resilience to

climate change as

supported by USG

assistance


Indicator Definition of indicator Disaggregation in information

collection

Standard or

Performance

Output Indicator

Average change in yield

(ton) and net income

(Rs.) per hectare of crop

land

This indicator measures the average change in yield (ton/ha) and

income (Rs./ha) from the baseline after the implementation of

CSA technologies and practices in their agriculture production

system as a result of project assistance.


large)




Performance

Average change in

emission intensity (CO2

/ton of food production)

from the CSA

interventions

This indicator measures the average change in emission intensity

(CO2 /ton of food production) from the baseline after the

implementation of CSA technologies and practices in their

agriculture production system as a result of project assistance.





large)

Performance

Number of farmers who

have seen improvement

in yield and income per

hectare of agricultural

land

This indicator measures the number of direct beneficiary farmers

who saw an increase in yield per hectare of agricultural land

from the baseline after the implementation of CSA technologies

and practices in their agriculture production system as a result of

project assistance.


medium, large)




Performance

Number of hectares of

land showing

improvement in yield

This indicator measures area (in hectares) of land cultivated,

showing increase in yield per hectare of agricultural land from

the baseline after the implementation of CSA technologies and

practices as a result of project assistance


medium, large)




- Gender and youth

Performance

Average change in

water, nutrient and

energy use per ton of

crop production

This indicator measures the change in water, nutrient and energy

use per ton of crop production from the baseline after the

implementation of CSA technologies and practices as a result of

project assistance


medium, large)




Performance


B. Financial Reporting: FS-425 This will be submitted separately via the PMU team.

C. Environmental Mitigation and Monitoring (2018-2019) This project meets the requirements of the program Initial Environmental Evaluation (IEE) and

the conditions established therein, complying with USAID environmental regulations (Regulation

216 and ADS 204). The threshold determinations for this project are the following:

• Activities that are Categorically Excluded are those for which no environmental impacts

are expected. The IEE establishes Categorical Exclusions for technical assistance, training,

community mobilization and prioritization, risk assessments, gap and opportunity analyses,

scaling up climate adaptation policies, practices, infrastructure standards and norms, and

land use planning, as well as other capacity building, analysis, studies, academic or

research workshops or meetings, and document and information transfers.

• However, if any topic associated with Categorically Excluded activities affects the

environment, the activity would include information on how to minimize and/or mitigate

environmental impacts, or the activity would be classified as having environmental risk.

• There are some activities that have very low impact on the environment but where the

inclusion of mitigation measures can prevent significant impacts. Construction of water

harvesting structures, use of fossil fuel in agricultural operation and other small

infrastructure construction fall in this category. List of technologies that were implemented

in the farmers’ field are presented in the Table 1 and 2.

Activities Major Negative

Environmental

Impacts

Mitigation

Measures

Monitoring &

Reporting

Activity

Monitoring

Indicator

Responsible

party & Timing

Person responsible

for implementing

mitigation &

Timing

Participatory field

demos of CSV

interventions

including

distribution of

adapted seeds, water

management, simple

precision sensors,

ICT support on

insurance, agro-

advisories and

market information

together with

insurance

Expansion of

cultivated land,

use of chemical

fertilizers,

pesticides and

energy intensive

technologies

leading to

increased GHG

emissions

No expansion of

cultivated land,

use of low carbon

technology and

energy efficient

machines.

Promotion of

organic fertilizers

and integrated

insect and pest

management

technologies

Review of CSA

technology

implementation

guidelines, field

visit, provision

of training to the

stakeholders

• Inventory and

records of

input use and

agriculture

activities.

• Local partners

• Cropping

season

Implementing

partners, field

coordinator

Strengthening the

capacity of farmers

producers’ groups

(FPOs), local

organizations

(community based

organizations and

NGOs)

Emission from

travel and waste

of training

materials

Avoid or reduce

number of travels.

Not waste of

training materials

Review of

training

activities and

reports

• Number of

travels,

amount of

training

materials

• Local partners

• Quarterly

Implementing

partners, field

coordinator


F. Key Project Personal Sr # Name Designation Telephone E-mail

1 Dr. Pramod Aggarwal /

Dr. Arun Joshi

Project Advisor 11-25842940 /

11-25842201

[email protected] /

[email protected]

2 Dr. Arun KC Project Leader and M&E lead 11-25842940 [email protected]

3 Dr. Paresh Shirsath Adaptation Prioritization Expert 11-25842940 [email protected]

4 Mr. Anil Pimpale Field Coordinator 11-25842940 [email protected] 5 Ms. Nitya Chanana Gender and Adaptation Expert 11-25842940 [email protected]

7 Ms. Sakshi Saini Communication Specialist 11-25842940 [email protected]

8 Ms. Meenakshi

Chandiramani

Admin Assistant 11-25842940 [email protected]

9 Mr. Sachin Srivastava Finance management 11-25842940 [email protected]

mailto:[email protected]









4. Appendix

A. Number of super champion, champion and CSA farmers in the selected villages Nalanda District - Bihar

S.N. Village Name Super champion Farmers Champion Farmers CSA Farmers

1 Bhagwanpur 1 14 134

2 Mudla bigha 1 14 134

3 Sukma 1 14 134

4 Padari 1 14 134

5 Amraura 1 14 134

6 Maheshpur 1 14 134

7 Madhopur Dih 1 14 134

8 Madhopur Garh 1 14 134

9 Vishunpur 1 14 134

10 Jaitipur 1 14 134

11 Dayalpur 1 14 134

12 Hanumangarh 1 14 134

13 Gadanpura 1 14 134

14 Pranchak 1 14 134

15 Chandi 1 14 134

16 Gokulpur 1 14 134

17 Dasturpar 1 14 134

18 Jogia 1 14 134

19 Gunjarchak 1 14 134

20 Bardiha 1 14 134

21 Khafura 1 14 134

22 Chistipur 1 14 134

23 Balwa 1 14 134

24 Mohadeenpur 1 14 134

25 DamodarPur Baldha 1 14 134

Sub Total 25 350 3350

Mathura District - Uttar Pradesh

S.N Village Name Super champion Farmer Champion Farmers CSA Farmers

1 Patlauni 1 14 134

2 Nandugari/ Bahartiya 1 14 134

3 Kilauni 1 14 134


4 Nagla Mansha 1 14 134

5 Nagla Mohan 1 14 134

6 Barauli 1 14 134

7 Selkheda 1 14 134

8 Sukhdeo Burj 1 14 134

9 Kaush Kheda 1 14 134

10 Sarai Salvahan 1 14 134

11 Averani 1 14 134

12 Pachavar 1 14 134

13 Hathkauli 1 14 134

14 Nagla Girdhar/Maharath 1 14 134

15 Jataura 1 14 134

16 Madaura 1 14 134

17 Naya Bansh/ Tatrauta 1 14 134

18 Pipri 1 14 134

19 Ashagadi 1 14 134

20 Gadsauli 1 14 134

21 Hathuda 1 14 134

22 Nurpur 1 14 134

23 Bashai 1 14 134

24 Ibrahimpur 1 14 134

25 Khappar Pur 1 14 134

Sub Total 25 350 3350

Betul Distric - Madhya Pradesh

Village Name Super champion Farmer Champion Farmers CSA Farmers

Anwariya 1 14 134

Banspur 1 14 134

Chunagosai 1 14 134

Desawadi 1 14 134

Golhai Buzurg 1 14 134

Hirapur 1 14 134

Katasur 1 14 134

Kathawadi 1 14 134

Khakhara 1 14 134

Kundi 1 14 134

Mlajpur 1 14 134

Mokha Mal 1 14 134


Mudha 1 14 134

Pahawadi 1 14 134

Pathai 1 14 134

Pawarjhanda 1 14 134

Raipur 1 14 134

Rampur Mal 1 14 134

Ratamati 1 14 134

Saliment 1 14 134

Silpati 1 14 134

Sitaljhiri 1 14 134

Uchagohan 1 14 134

Kothami 1 14 134

Hardu 1 14 134

Sub Total 25 350 3350


B. List of Weather Resilient Technologies, Practices and Services

Water-Smart Interventions that improve Water-Use Efficiency

1. Rainwater Harvesting- Farm Ponds • Collection of rainwater not allowing to run-off and use for agriculture in rainfed/dry areas and

other purposes on site.

2. Drip Irrigation • Application of water directly to the root zone of crops and minimize water loss

3. Sprinkler Irrigation • Method of applying irrigation water which is similar to rainfall, high irrigation efficiency due to

uniform distribution of water

4. Direct Seeded Rice • Requires less water compared to traditional transplanting

5. Alternate Wetting and Drying (Rice) • Need based application of water in the rice filed, minimize overuse of water

6. Systems of Rice Intensification (SRI) • Change in management of plants, soil, water and nutrients in rice cultivation

7. Furrow Irrigated Bed Planting • This method offers more effective control over irrigation and drainage as well as rainwater

management during the monsoon (also improves nutrient use efficiency)

8. Conservation Furrow • Conserve water and allows better drainage and run-off

9. Raised Bed Planting • Conserve water and allows better drainage and run-off

10. Drainage Management • Removal of excess water (flood) through water control structure

11. Cover Crops Method • Reduces evaporation loss of soil water (also adds nutrients into the soil)

Energy-Smart Interventions that improve Energy-Use Efficiency

12. Minimum Tillage • Reduces amount of energy use in land preparation. In long-run, it also improves water

infiltration and organic matter retention into the soil

13. Solar Pumps • Increased access to power through renewable energy; adaptation and mitigation

Nutrient-Smart Interventions that improve Nutrient-Use Efficiency

14. Site Specific Integrated Nutrient Management • Optimum supply of soil nutrients over time and space matching to the requirements of crops

with right product, rate, time and place

15. Green Manuring • Growing and incorporating legume biomass into soil. This practice improves nitrogen supply

and soil quality.

16. Leaf Color Chart/GreenSeeker • Quantify the required amount of nitrogen use based on greenness of crops. Mostly used for split

dose application in rice but also applicable for maize and wheat crops to detect nitrogen

deficiency

17. Intercropping with Legumes • Cultivation of legumes with other main crops in alternate rows or different ratios. This practice

improves nitrogen supply and soil quality


Carbon-Smart Interventions that reduce GHG emissions

18. Agro Forestry/Horticulture • Promote carbon sequestration including sustainable land use management

19. Concentrate Feeding for Livestock • Reduces nutrient losses and livestock requires low amount of feed

20. Fodder Management • Promote carbon sequestration including sustainable land use management

21. Integrated Pest Management • Reduces use of chemicals

22. Bio-gas • Reduced methane emissions and fossil fuel use

-Smart Interventions that provide services related to income security and advisories to farmers

23. Weather Smart Housing for Livestock • Protection of livestock from extreme weather events (e.g. heat/cold stresses)

24. Weather Information (seasonal and in season) • Advance weather information help reduce weather risk or take advantage of better seasons

25. Based Crop Agro-Advisory • Weather information based value added agro advisories to the farmers

26. Crop Insurance • Crop-specific insurance to compensate income loss due to vagaries of

Knowledge-Smart Use of combination of science and local knowledge

27. Contingent Crop Planning • Weather risk management plan to cope with major related contingencies like drought, flood,

heat/cold stresses during the crop growing season

28. Improved/Short Duration Crop Varieties • Crop varieties that are tolerant to drought, flood and heat/cold stresses

29. Fodder Banks • Conservation of fodders to manage weather risks

30. Seed Systems/Banks • Ensuring farmers access to weather ready cultivars

31. Stress Tolerant High-Yielding Breeds of Livestock • Livestock breed that perform better under weather stress/drought

32. Livestock & Fishery as Diversification Strategy • Reduce risk of income loss due to weather variability

33. Prophylaxis & Area Specific Mineral Mixture for

Livestock

• Livestock better withstand abiotic stresses

34. Rotational Grazing • Sustainable fodder production from pastures/commons


C. Progress of project activities

1. Demo plots

Districts Improved seed crops (variety name)

Number of demo plots

Area of demo (Acre) Number of farmers

Y1

Y2 Y3 Y1

Y2 Y3

Super Champion

Champion CSA

Y1 Y2 Y3 Y1 Y2 Y3 Y1 Y2 Y3

Betul

Wheat (MP 3336) - 137 - 68.5 11 126 - -

Wheat (HI-8672

variety) and mustard

(Samriddhi Gold)

245 - 122.5 - 21 - 224 - - -

Gram (Jg 64,jg 14

Rbs 201) - 238 - 119 14 224 - -

Chickpea (GJ-11)

and mustard

(Samriddhi Gold

130 - 65 - 4 - 126 - - -

Paddy (6444) 142 - 71 - 6 - 136 - - -

Paddy (MTU 11) 205 102.5 16 189

Soyabean (JS-9305) 72 - 36 - 4 - 68 - - -

Vegetable (Chandani (Mirchi), Onion (Nasik Red N53), Bitter Guard (Kundan)

80 - 40 - 4 - 76 - - -

Arhar (NTL 30) 18 - 9 - 2 - 16 - - -

Soyabean (RBS-2001) - 62 - 31 - 4 - 58 - -


Tur/Arhar (Asha ICPL -87119)

- 28 - 14 - 1 - 27 - -

Mathura

Wheat (PB502) - 150 - 75 10 140 - -

Wheat (PBW 343) 140 - 70 - 8 - 132 - - -

Mustard (Pioneer 45S42)

8 - 4 - 2 - 6 - - -

Paddy (PB 1509) 15 - 7.5 - 1 - 14 - - -

Bajra (Pioneer 86M84)

120 135 - 64.5 67.5 - 9 9 - 111 135 - - -

Nalanda

Wheat (HD-

967+HD2733,FS/BS) - 428 - 130 24 302 - 226

Wheat (HD- 2967+HD2733+K-307)

180 - 96 - 14 - 196 - 299 -

Berseem (Kaveri) - 552 - 30 24 302 - 226

Oats (Kent) - 552 - 30 5 5 - 2

Napier Grass (BAIF

Hybrid Napier) - 12 - 0.3 23 262 - -

Mustard (RH-749) - 11 - 5.6 1 10 - -

Lentil (KL-5218) 75 - 40 - 5 - 70 - - -

Onion (NHRDF-L28 R) 30 - 16 - 6 - 24 - 6 -

Paddy (Sahbhagi + R-Mansoori)

285 - 154 - 19 - 266 - 296 -

Paddy (R-Sweta,R- Bhagwati)

150 80 10 140 124

Total 270 1555 2375 144.5 798.5 605.9 19 105 133 251 1489 1645 124 601 454


2.Trainings

Progress of trainings and participants in the last two years for Betul district

BETUL Number of trainings Total participants Number

of male participants Number of female participants

Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3

Crop related

CSA

technologies

and practices

90 50 8 10 12 20 1,899 1,059 268 300 152 339 746 361 62 129 65 105 1,147 698 206 171 87 234

Nutrient

Management 72 29 - - - 29 992 489 - - - 489 164 206 - - - 206 828 283 - - - 283

Livestock

related

practices

5 16 8 1 - 7 122 508 268 63 - 177 32 178 62 40 - 76 90 330 206 23 - 101

Total 167 87 8 11 12 56 3,013 1,788 268 363 152 1,005 942 683 62 169 65 387 2,065 1,105 206 194 87 618

Progress of trainings and participants in the last two years for Mathura district

MATHURA Number of trainings

Total participants Number

of male participants Number of female

participants


Crop related

CSA

technologies

and practices

10 38 19 7 2 10 275 813 338 135 63 277 252 734 319 128 46 241 23 79 19 7 17 36

Nutrient

Management

/Agro-

advisory

2 5 - 4 - 1 72 135 - 112 - 23 62 135 - 112 - 23

10 0 - - - -


Livestock

related

practices

7 33 9 11 1 12 224 728 124 225 35 344 224 636 111 225 25 275 - 92 13 - 10 69

Biogas and

CHC 2 8 5 - 1 2 40 169 99 - 24 46 40 113 83 - 14 16 - 56 16 - 10 30

Total 21 84 33 22 4 25 611 1,845 561 472 122 690 578 1,618 513 465 85 555 33 227 48 7 37 135

Progress of trainings and participants in the last two years for Nalanda district

NALANDA Number of trainings Total participants Number

of male participants Number of female participants


Crop related

CSA

technologies

and practices

25 49 14 9 2 24 918 2,199 709 336 127 1,027 767 1,699 583 256 92 738 151 530 126 80 35 289

ICT based

agro

advisory /

Crop

insurance

2 4 - 4 - - 145 280 - 280 - - 99 231 - 231 - - 46 49 - 49 - -

Livestock

related

practices

7 1 1 - - - 235 65 65 0 - - 222 36 36 - - - 29 29 29 - - -

Other

(INM,biogas

and CHC)

4 2 - - - 2 206 128 - 0 - 128 178 86 - - - 86 28 42 - - - 42

Total 38 56 15 13 2 26 1,504 2,672 774 616 127 1,155 1,266 2,022 619 487 92 824 238 650 155 129 35 331


3. Convergence

District Activity Amount of convergence (Rs.) Number of beneficiary households Government

scheme/department Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3 Y2 Y3 Q1Y3 Q2Y3 Q3Y3 Q4Y3

Betul

Area brought

under new

crops (Seed

distribution)

16,40,212 10,85,742 10,68,442 - 17,300 - 1,686 1576 1417 - 159 Agriculture

Department

Soil Health

Cards - 41,470 11,700.00 - - 29,770 405 319 90 - - 229

PM Flagship

program

Support for

availing the

benefit of

spray pumps

21,000 29000 29,000 - - - 15 2 2 - - -

Agriculture

Department, (Zilla

Palika)

PoP in

Rice/Maize

& Soyabean

- - - - 450 - - -

Sprinkler - 9,49,407 6,22,078 - - 3,27,329 - 30 22 - - 8

Bio gas - 15,000 15,000 - - - 1 - -

Bio-

Pesticide/

Fertiliser

11,424 8,19,810 - - 10,010 8,09,800 21 259 - - 15 244 BRLF

Agricultural

tools 71,138 - - 6 - - Agriculture

Department

Kitchen

Garden (Incl.

vegetable

seeds and

trainings)

- 31,275 6,500 13,650 11,125 - 19 182 71 Horticulture

department


Animal

Vaccination

and

Medicine

- 450 350 - 100 - 16 - 3 Veterinary

department

Vermi

compost - 11,500 11500 - - - 1 - -

MGNREGS Water

infrastructure 85,58,296 1,22,79,600 21,83,600 65,79,000 27,25,000 7,92,000 873 94 12 59 18 5

Nalanda

Area brought

under new

crops (Seed

distribution)

- 3,26,657 9,408 - 3,17,249 - - 195 11 - 184 - Krishi Vigyan

Kendra (KVK)

Training of

Farmers on

Kitchen

garden,

Horticulture

crop,

vegetables etc.

- 4,06,000 4,06,000 - - - - 386 386 - - -

Horticulture college

Noorsari, NHRDF Training of

staff on

theme onion,

garlic,

potato,

cultivation at

ICAR

- 27,000 27,000 - - - - -

6

field

staff

- - -

Mathura

Animal

vaccination 30,000 37,250 - - - 37,250 3,000 3,725 - - - 3,725

Veterinary

department

Improved

seed support - 63,992 - - - 63,992 - 50 - - - 50

Agriculture

Department

Pradhan

Mantri Kisan

Samman

Nidhi

Yojana

- 30,60,000 - - 20,40,000 10,20,000 - 500 - - 50 450


Total Amount In

lakhs 1,03,32,070 1,91,84,153 43,90,578 65,92,650 51,20,784 30,80,141 6,456 7,136 1,977 241 500 4,932 1,03,32,070


5. Women engaged in micro-enterprises

*Some members are part of both CHC as well as other type of enterpises

**

Enterprise type Group or Individual woman farmer

Custom Hiring Center Group

Sale of organic pesticide/fertiliser Group

Sale of Napier fodder Individual

Vegetable cultivation and sale Group (in Nalanda) / Individual (in Betul)

Sale of seeds Individual

FY 2018-19 Betul Nalanda Mathura Total

Total number of women engaged in micro enterprises*

47 51 51 149

Types of micro enterprises (Custom Hiring Center, Sale of organic pesticide/fertiliser, sale of Napier

fodder, vegetable cultivation and sale, sale of seeds)**

5 2 1 5

Number of days training provided to women to run these micro-enterprises

58 24 14 104

Details

Number of women engaged in CHC 41 44 51 136

Trainings provided for CHC 20 23 14 57

Number of women engaged in other enterprises (Including IPM/NPM, vegetable cultivation, sale of

napier fodder) 14 8 - 22

Trainings provided for other enterprises 46 1 - 47

Annual Report (2018 –2019) Scaling Up Resilient Agricultural ...

Documents

Transcript of Annual Report (2018 –2019) Scaling Up Resilient Agricultural ...