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Economic Evaluation of Yeldur Nala Sub - Watershed Project in Kolar District of Karnataka

Meghana J *

1 Department of Agricultural Economics, University of Agricultural Sciences, GKVK, Bangalore, Karnataka India

Corresponding author Email: meghanaj39@gmail.com

DOI: http://dx.doi.org/10.12944/CWE.17.3.27

The study was taken in Srinivaspura taluk, Kolar district of Karnataka to analyse the economic benefits derived by watershed beneficiaries of Yeldur nala sub watershed project implemented under Pradhan Mantri Krishi Sinchayi Yojana-Watershed Development (PMKSY-WD). Primary data of the research was gathered from randomly selected 60 farmers from the project area which includes 30 watershed beneficiaries and 30 non-beneficiaries. Data collected was analysed using Simpson’s index, Cost and Returns analysis and Garret’s ranking. Higher crop diversity was found among beneficiaries of watershed project with Simpson’s index value of 0.85 compared to non-watershed farmers(0.77). Production, productivity and net returns of the major crops were observed higher in watershed area than in Non- watershed area. Annual income per farm was also found higher inwatershed area with Rs. 2.84 lakh acre-1 than in Non- watershed area (Rs.1.70 lakh acre-1).Lack of awareness about benefits of watershed technology among the beneficiary farmers and poor participation by the farmers during training programmes conducted by the implementing agencies were the major constraints faced during the implementation of watershed projects. Results have sufficiently indicated that the watershed activities benefited farmers by enhancing their yield, net returns and overall income. Majority of sample farmers maintained farm pond when compared to trench cum bund as weed growth on these bunds was a major problem. It was also found that formation of watershed area farmers’ associations is necessary for the maintenance of soil and water conservation structures by watershed area development department.

Check dam; Farm pond; ground water table; trench cum bund; watershed

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Meghana J. Economic Evaluation of Yeldur Nala Sub - Watershed Project in Kolar District of Karnataka. Curr World Environ 2022;17(3). DOI:http://dx.doi.org/10.12944/CWE.17.3.27

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Meghana J. Economic Evaluation of Yeldur Nala Sub - Watershed Project in Kolar District of Karnataka. Curr World Environ 2022;17(3).


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Article Publishing History

Received: 2022-10-05
Accepted: 2022-12-06
Reviewed by: Orcid Orcid Daya Shankar Gautam
Second Review by: Orcid Orcid Javad Esfanjani
Final Approval by: Dr. Hiren B. Soni

Introduction

Agriculture in India is the major sector for economy, which depends highly on natural resources such as soil, watershed and vegetation. Nearly three fourths of the cultivated land is depending on monsoon, which is contributing  about 42 per cent of the agriculture production in India (Anonymous, 2012).India receives annual precipitation of an average of 4,000 billion cubic meters (approximately 1183 mm rainfall) of which, only 48 per cent is available in surface and ground water entities of India (Anonymous, 2017). The scarcity and volatility of water availability has created pre and post production risk in Indian agriculture.

To fullfill the demands of the rising population, the conservation, utilization and up gradation of water on the scientific theories is essential along with the sustainability of dry land agriculture. This can be achieved by two alternative solutions, one is to bring all the rainfed areas under irrigation, which could not cover even 50 per cent of  area cultivated. Second alternative is enhancing crop production in dry areas by promoting watershed technology. A watershed is a hydrologically referred as any surface area from which runoff resulting from water flow and is drained to a common point. Drought Prone Area Development Programme, Desert Development Programme and Integrated Wasteland Development Programme have been framed under one programme named  Integrated Watershed Management Programme. It is a centrally sponsored program where the centre and state shared 90:10  ratio up to 2014-15. After 2015-16 IWMP was relabelled as Pradhan Mantri Krishi Sinchayee Yojana- Watershed Development (PMKSY-WD) where state and centre share is in the ratio of 40:60 (Anonymous, 2015).

Kolar district of Karnataka stands fourth under Rainfed Area Prioritization Index with erratic and uneven rainfall. The area under rainfed crops ranged from 74 to 85 per cent of the cultivated area. The mean annual rainfall is around 776 mm (ranging from 680 to 890) (Anonymous, 2018). Kolar being a water stressed area, facing major problems like, migration, degradation of lands, low productivity of farm lands, depletion of ground water resources, degraded soil, marginal/small farmers and fragmented land holdings, and less alternative income. In this regard, the rationale for watershed approach in rainfed agriculture areas is a way forward for the effective and efficient usage of natural resources by developing and managing them on a sustainable basis. This study sheds light on, how the selected watershed project helps in in- situ soil moisture conservation and rain water harvesting to augment ground water resources, crop production, development of  pasture , livestock, fodder management and  income-generation activities in a participative manner by involving the local communities that help in conserving these resources and the major constraints faced by the implementing agency and beneficiaries during implementation of the watershed projects in the study area with the following objectives.

  1. To record the activities taken up under Yeldur Nala Sub - Watershed Project in the study area.
  2. To evaluate the economic benefits derived from Yeldur Nala Sub - Watershed Project in the research area.
  3. To determine the major constraints faced by the implementing agency and beneficiaries during implementation of the watershed project in the research area.

Methodology

The research area

The present research was undertaken in Srinivaspur taluk of Kolar district of Karnataka state. According to the agro-climatic zones, the area is classified as a "eastern dry zone (zone 5)." Srinivaspura taluk is one among the five taluks of Kolar district which is 24 km away from the district and was reported in having a wide variation in distribution and pattern of rainfall over the years.

The study method

For the study, a purposive sample technique was used. In the primary level, Kolar district was selected based on Rainfed Area Prioritization Index (RAPI). In line with the goals of the research and consultation with Watershed Development Department Bengaluru, Karnataka, Yeldur nala sub watershed project under Pradhan Mantri Krishi Sinchayi Yojana-Watershed Development(PMKSY-WD) in Sri nivaspura taluk of Kolar district was selected, as most of the watershed activities were completed in that area. Totally 60 sample farmers were selected, of which 30 beneficiaries of watershed project and 30 non beneficiaries were randomly selected from Yedrur and Beeraganahalli villages in the study area, where in each village includes 15 beneficiaries and 15 non beneficiaries. Primary Data on socio-economic features, cropping pattern, allied activities, economic impact of the major interventions undertaken through Yeldur nala sub watershed project collected from the sample farmers through pre-tested schedule.

Statistical tools

Crop diversification Index

Simpsons Diversity Index (SDI) is often used index for measuring crop diversification in a particular geographical area and is employed to calculate crop diversification in study area using – the formula given below

Here, Ji = Am / ? Am is the proportion of the mth activity in acreage.

A Simpson index value nearing zero, indicates that the area is near to the specialization in cultivating a particular crop and if value is near to one, then the region is completely diversified in terms of crops. (Debasiset al. 2017)

Cost and Returns

The cost and returns of major cultivated crops were analysed by using cost concepts- Cost A, Cost B and Cost C.(Susheelaet al. 2016)

Gross income = (Quantity of main product × Price of main product) 

Net income (NI): = Gross income – Total expenditure

Garrett’s Ranking

Garrett’s Ranking analytical tool was adopted to rank the constraints faced by beneficiaries during the implementation of watershed programme in study area. Constraints for the study area were listed by taking opinions of the sample farmers and with regard to the various studies undertaken in the similar field. For constraints faced by beneficiaries each of the sample farmer was requested to rank the listed six constraints from one to  six. In this technique, rank one signify most important one and rank six signifies least important aspect. Rank allotted to every constraint by each respondent was converted into per cent position with the formula,

Per cent position   =   100*(Mhg-0.50) /Ng

Where,

Mhj depicts for rank given for the ith factor (h= 1, 2……6) by the j th individual (g = 1, 2 …..50)

Ng stands for the number of variables that each individual has ranked.

The per cent place of every rank was converted to scores by using the table given in Garrett and Woods worth (1969). For every constraint the scores of individual respondents were added and divided by the total number of sample farmers from whom scores were added. Finally, the six limitations were ranked by giving ranks 1, 2, 3,..., 6 in descending order of the mean scores.

Result and discussion

Out of the total sample respondents, 8 farmers were benefitted with Farm Pond, 29 farmers benefitted with trench cum bund, which helps to conserve soil and water in the field. 17 of them were benefited from Dry land horticulture i.e. provided with mango seedlings, 14 were benefited by Agro forestry i.e. provided with silver oak seedling, along with these 13 and 17 farmers participated in Fodder production promotion and animal health camp respectively. Four of the farmers were self help group (SHG) members had undergone training of income generation activity conducted by implementing agency (Table 1).

Table 1: Watershed intervention activities extended to sample farmers in the study area under Yeldur Nala Sub - Watershed Project.(number).

Sl.

No.

Activities

Number of
beneficiaries

1

Farm ponds

8(7.54)

 

2

Field bunds

1(0.94)

3

Trench cum bund

29(27.36)

 

4

Dry land horticulture (Mango seedling)

17 (16.04)

5

Agro forestry (Silver oak seedlings)

14(13.21)

6

Fodder production promotion

13(12.26)

7

Participation in the animal health camp

17(16.04)

8

Annual and Perennial fodder minikits

3(2.83)

9

Training and income Generation activity 
for SHG members

4(3.77)

Note:  Figures in the parenthesis represent per cent to total sample.

The livestock inventory of the sample farmers revealed that in watershed area 30 per cent of sample farmers owned local cows, 16 per cent owned buffalo and around 6 per cent of farmers had bullock pairs. Sheep and poultry were owned by 3 and 6 per cent of sample farmers respectively. Similarly, in non - watershed area 30 per cent of farmers owned local cows, 5 per cent owned buffalo and 5 per cent of farmers had bullock pairs. Sheep and poultry were owned by 10 and 5 per cent of farmers respectively (Table 2).

Table 2: Livestock inventory of sample farmers in Watershed and non-watershed areas(2018-19).                         

Sl.
No.

Livestock

Yeldur Nala Sub - Watershed Project

Beneficiaries

Non – 
Beneficiaries

1

Bullock pair

4(6.66)

2(5.00)

2

Milch animals

 

 

a

Local cow

24(30.00)

22(30.00)

b

Buffalo

11(16.66)

2(5.00)

c

Crossbreed cow

4(6.66)

2(5.00)

3

Sheep 

5(3.33)

15(10.00)

4

Poultry

22(6.66)

5(5.00)

Note: Figures in parentheses represents percentage of number of sample respondents owning asset.

Percentage of farmers owning cattle is comparatively high in watershed area than non - watershed area due to watershed interventions activities. Same results were observed in the study taken by Painuliet al. (2014)  in Jaisalmer District of Rajasthan, where farmers under  watershed project had more livestock compared to non-watershed farmers (Table 2).

Figure 1: Livestock inventory of sample farmers in Watershed and non-watershed areas (2018-19).

 

Click here to view Figure

Ragi and tomato were the major sole crops grown with 21.40 and 6.65 per cent of gross cropped area(GCA)[1] respectively and mango crop was grown with 41.07 per cent of GCA and silver oak under agro forestry with 1.81 per cent of the GCA. Pigeon pea and field bean intercrop with ragi was cultivated under 15.04 per cent of GCA  Whereas in non-watershed area ragi was grown as a main field crop with 36.42 per cent and ragi intercrop with field bean 25.43 per cent of the overall cultivated area. Mango was with 15.44 per cent of GCA and Cropping Intensity of farmers in watershed area was 170.29 per cent higher than non- watershed area(137.45 %).

Simpsons index is higher in watershed area (0.85) than non - watershed area (0.77) which indicates more crop diversity in watershed area compared to non water shed  area, this may be because of increased water availability and improved soil fertility due to watershed activities in the study area. The study conducted by Palinisamiet al. (2011) also revealed similar results where cropping pattern and cropping intensity were influenced by watershed interventions which resulted in improved soil health and moisture holding capacity of soils (Table 3).

Table 3: Cropping pattern of sample respondents in the research area . (2018-19)

 Sl.
No.

Crops

Beneficiaries

Non-Beneficiaries

Area 
(acre)

Percentage 
to GCA (%)

Area 
(acre)

Percentage 
to GCA (%)

I

Sole crop

1

Ragi

37.00

21.40

20.05

36.42

2

Pigeon pea

4.00

2.31

0.00

0.00

3

Horse gram

5.00

2.89

1.50

2.72

4

Paddy

0.00

0.00

0.00

0.00

5

Ground nut

0.00

0.00

0.00

0.00

6

Tomato

11.50

6.65

5.50

9.99

7

Capsicum

1.00

0.58

0.00

0.00

8

Onion

2.00

1.16

0.00

0.00

9

Mulberry

2.50

1.45

1.00

1.82

10

Chilli

1.75

1.01

0.00

0.00

11

Knol-khol

0.00

0.00

0.00

0.00

II

Intercrop

 1

Ragi + field bean

6.00

3.47

14.00

25.43

2

Ragi + pigeon pea + 
Field bean

26.00

15.04

4.50

8.17

III

Perennials

1

Mango

71.00

41.07

8.50

15.44

2

Silver oak 

3.13

1.81

0.00

0.00

IV

GCA (acres)

172.88

100.00

55.05

100.00

V

NCA (acres)

101.00

 

40.05

 

VI

CI (%)

170.29

 

137.45

 

VI

Simpson’s Index

0.85

 

0.77

 

Note:   GCA- Gross Cropped Area, CI- Cropping Intensity, NCA-Net Cropped Area. 

Table 4: Production and productivity of major crops cultivated by beneficiaries and non-beneficiary sample farmers under Yeldur Nala Sub - Watershed Project.

Sl. No.

Crops

Watershed area

Non-watershed area

Difference in productivity

(quintals/ac)

Total area (acre)

Production (quintals)

Productivity (quintals/ acre)

Total area (acre)

Production (quintals)

Productivity (quintals/ac)

1

Ragi 

37.00

378.14

10.22

20.05

134.93

6.73

(3.48)

34.09

2

Tomato

11.50

1469.93

127.82

5.50

643.11

116.93

10.89

(8.51)

3

Horse gram

5.00

34.90

6.98

1.50

6.75

4.50

(2.48)

35.53

4

Mango

71.00

3288.72

46.32

8.50

272.34

32.04

(14.32)

30.92

Note: figures in the parenthesis indicates Difference in productivity percentage.            

Production of the main cultivated crops in the watershed area observed higher compared to non-watershed area. The productivity of major crops cultivated was higher in watershed beneficiaries compared to non- beneficiaries and difference in productivity was higher in Mango with 14.32 quintals/ac followed by tomato (10.89 quintals/ac). The production and productivity of mango was higher in watershed area when compare to non-watershed area  due to distribution of mango seedlings in the watershed area   with percentage change in productivity 30.92. There is considerable increase in productivity of all the crops, where higher per cent increase was in horse gram and ragi with 35.53 and 34.09 per cent respectively, due to watershed interventions like farm pond, trench cum bund, check dam and nala bund which increased water availability and further increased yield in the watershed area (Table.4.). The study conducted by Thakur et al. (2014) reported that on an average production and productivity of different crops was found to be increased after the implementation of project.

It was found that the overall cost of cultivation was greater per acre in watershed farmers compared to control group and it was higher in tomato crop with Rs.83977 and Rs.77545 in watershed and non-watershed area respectively and it was lower for horse gram with Rs.23164 and Rs.20641 respectively. The gross returns per acre was also observed higher in watershed beneficiaries compared to non-beneficiaries and it was higher in tomato with Rs.198627/acre Rs.142623/acre respectively. The net returns were higher in watershed area compared to non watershed area and was observed higher in tomato Rs.114650 and Rs.65078 respectively and lower in horse gram Rs.10102 and Rs.4866 respectively (Table 5). These results are in line with findings of Nirankusha (2015) where he reported that per acre respective crop gross and net return received by watershed farmers was substantially greater than that of non-watershed farmers this was because of water and soil conservation activities which enhanced yield of crops.

 Net returns per rupee of expenditure was calculated to be higher in watershed area  when compared to non -watershed area and was observed higher in tomato (Rs.2.37 and Rs.1.84 respectively) and lower in horse gram (Rs.1.41 and Rs.1.24 respectively) because of improved yield by watershed interventions which further increased net returns of crops.

Table 6 depicts Annual Income of sample farmers in the research area. The study shown that net returns for all crop was higher in watershed area (Rs. 240682) when compare to non-watershed area (Rs.126922) with difference in income of (Rs.113759) which is 47.27 per cent higher than non-watershed area, this is due to soil and water conservation activities like farm pond, trench cum bund, check dam and nala bund increased soil fertility which further enhanced crop yield and farm income. Similar findings were reported by Nirankush (2015) in his study (Table 6).

Table 5: Cost and returns of major crops cultivated by beneficiary and non-beneficiary sample farmers Yeldur Nala Sub - Watershed Project.(Rs/acre)

SI.No.

Crop

Ragi+ Field bean

Ragi+ Field bean+ pigeon pea

Ragi

Horse gram

Tomato

B

N-B

B

N-B

B

N-B

B

N-B

B

N-B

1

TVC

20566

18696

24492

21813

19103

17223

13924

12270

64077

60079

2

TFC

8490

7797

8490

7797

8490

7797

8490

7797

8490

7797

3

Marketing cost

1369

1168

1570

1156

1243

920

750

575

11411

9670

4

TC

30425

27660

34552

30764

28836

25940

23164

20641

83977

77545

4

GR

45416

35187

50881

38752

41040

32651

33266

25507

198627

142623

6

NR

14991

7237

16329

7989

12204

6712

10102

4866

114650

65078

7

Returns per rupee of expenditure

1.49

1.27

1.47

1.26

1.42

1.26

1.41

1.24

2.37

1.84

Note: B- Beneficiary, N-B – Non-beneficiary, TC- Total cost, TFC- Total fixed cost, TVC –Total variable cost GR- Gross returns, NR- Net returns. 

Table 6: Average annual Income of beneficiary and non-beneficiary farmers under Yeldur Nala Sub - Watershed Project (Rs/farm).

Sl. 
No.

Income source

 

Beneficiaries 
Income

Non-
beneficiaries 
Income

Difference in income

Percentage change in income (%)

I

Income from crops

240682.11

126922.64

113759.5

47.27

II

Livestock income

32967.06

27465.92

5501.14

16.69

III

Off-farm and 
Non-farm income

10358.25

16354.86

-5996.61

-34.21

IV

Total income

284007.42

170743.42

113264

39.88

Annual income from Livestock per farm was 16.69 per cent higher in watershed area (Rs.32967.06) than the non-watershed area (Rs.27465.92) with the difference in income of (Rs.5501.14) this was due to animal health camps conducted during the implementation of watershed project along with the supply of annual and perennial fodder kits, construction of cattel pond, cattle and sheep sheds helped farmers in maintenance of livestock in watershed area.(Table 6) comparable findings were observed in the studies by Nirankush (2015).

The off-farm and Non-farm income of non-watershed area was high with Rs.16354.86 which is 34.21 per cent higher than watershed area with Rs.10358.25 income. This was because in non-watershed area the farm income is less hence people tends to do other work for their source of income. The total income of watershed area (Rs.284007) was 39.88per cent higher than non-watershed area (Rs.170743) due to all supplemented activities done under watershed project which enhance the livelihood of people.

Constraints faced by beneficiaries in project implementation.

Responses were taken from sample respondents in the study area, where Lack of awareness about benefits of watershed technology and Obstruction for cultural operation by water harvesting structure were first and second major constraint with garret score 71.37 and 64.87 respectively. High Maintenance cost of structures and Uncertain rainfall were ranked third and fourth with score 59.47 and 53.47 respectively. Small and fragmented nature of holdings and Groupism and village politics were ranked least with score 47.70 and 33.97 score respectively by the beneficiaries of Yeldur nala-sub watershed project. (Table 7)

Constraints realized by implementing agency in project implementation.

Constraints realized by implementing agency in project implementation was taken from both the implementers in the study area, where poor participation by the farmers during training programmes and political interference ranked first and second.  Failure to recognize advantages of watershed activities by farmers and small and fragmented nature of holdings were third and fourth. Delay in releasing the sanctioned amount ranked least by the implementers during the implementation of the project.(Table 8)

Table 7: Constraints faced by beneficiaries during implementation of the Yeldur Nala Sub - Watershed Project.

Sl. 
No.

Constraints faced by farmers

Yeldur nala-sub watershed project.

Score

Rank

1

Lack of awareness about benefits of 
watershed technology

71.37

I

2

Obstruction for cultural operation by water 
harvesting structure

64.87

II

3

High Maintenance cost of water harvesting 
structures

59.47

III

4

Uncertain rainfall

53.40

IV

5

Small and fragmented nature of holdings

47.70

V

6

Groupism and village politics

33.97

VI

  Table 8 :Constraints faced by implementing agencies in implementing Yeldur nala-sub watershed project.

Sl. No.

Implementers

Rank

1

 Poor participation by the farmers during 
training programmes

I

2

Political interference

II

3

Failure to recognize advantages of watershed 
activities by farmers

III

4

Small and fragmented nature of holdings

IV

5

Limited availability of labour

V

6

Delay in releasing the sanctioned amount

VI

  Table 9: Soil and water conservation activities undertaken in the sample farmer’s fields

Sl.
No.

Structures

Yeldur nala-sub watershed project.

Beneficiaries

Managed 
asset

Not 
managed 
asset

1

Farm ponds

8

7

1

2

Field bunds

1

0

1

3

Trench cum 
bund

29

18

11

4

Boulder bund

0

0

0

To conserve the soil and water in the field, some of the structures were constructed in sample farmer’s field. Farm pond, field bund and trench cum bund were constructed for eight, one and twenty nine farmers respectively, out of which seven farmers maintained farm pond and only eighteen farmers maintained trench cum bund. Farm ponds constructed under watershed projects were efficiently maintained by farmers compared to other water harvesting structures, this was because farm pond benefits the farmer by holding more rain water compared to trench cum bund and field bund and it was very difficult to manage trench cum bund and field bund as weed growth on these bunds was a major problem. (Table.9)

Conclusion

This study gives ample scope for and perfect picture of the economically efficiency and sustainability of watershed activities in watershed area on soil health, water availability and rural livelihood over non-watershed area. Due to soil and water conservation activities ground water table increased, there was less soil erosion resulted in increased crop yield, fodder production was efficiently managed, agroforest activities indicated that the watershed activities, benefited farmers by enhancing their  net returns and overall income. Still there is a lack of knowledge about the benefits of watershed among the farmers resulted in poor maintaince of soil and water conservation structures like field bund, trench cum bund, farm pond, check dam and nala bund, Hence there is  need to enhance  information about the advantage  of watershed activities and for formation of watershed farmers’ associations for the maintenance of soil and water conservation structures by watershed development department for the sustainability of the developmental work.

Acknowledgement

I place my deep sense of gratitude to Prabhash Chandra Ray, Commissioner, Watershed Development Department and Rashmi Alias, Deputy Director of Agriculture Watershed Development Department and Shiv kumar, JDA, Kolar and K. Pramod, Technical officer, JDA office, Kolar, Manjunat. N., Agriculture officer, RSK Sri nivaspura, Rajappa and Anjanappa, watershed assistants, RSK, Sri nivaspura taluk kolar districts, Karnataka. for their support during my research.

Conflict of Interest

The author declares no conflict of interest.

Funding Sources

I am thankful to NABARD for providing an opportunity to work under ‘Grameen Chintan Project’ and for extension of financial support to conduct my research.

References

  1. Anonymous.Ground watershed area information booklet Kolar district, Karnataka. Central ground watershed area board, GOI, 2012;38-64.
  2. Anonymous.Annual report. 2016-17.  Department of Agriculture, Cooperation & Farmers Welfare, GOI, New Delhi, 2017;1-194.
  3. Anonymous. District irrigation plan – Kolar district. Pradhan Mantri Krishi Sinchayi Yojana (PMKSY), GOK. 2015;1-151.
  4. Anonymous.Kolar district at glance 2017-18. District statistical office, Kolar.2018;10-12.
  5. Debasis M., Kumarjit M and Lakshmikanta D. Trend, pattern and determinants of crop diversification of small holders in West Bengal: A district-wise panel data analysis. J. Dev. Agric. Econ.2017;10(4):110-119.
    CrossRef
  6. Susheela M.,Singh I.P and Ramji L.M. Cost of cultivation and returns on different cost concepts basis of onion in Rajasthan. Econ.Aff.2016; 61(1): 11-16.
    CrossRef
  7. Garrett H. E. and woodworth, R. S. Statistics in psychology and education. Vakils, Feffer and Simons Pvt. Ltd.1969;329.
  8. Painuli D.K., Goyal, R.K., Bhagwan S, Rajwantkaur K and Roy M.M. Impact Evaluation of Watershed Programs in Jaisalmer District of Rajasthan. Central Arid Zone Research Institute, Jodhpur, India, 2014; 26-30.
  9. Palanisami K., Bekele S, Joshi P. K., Nedumaran, S. andSuhas, P.W. Impact of watershed projects in India: Application of various approaches and methods. Integrated Watershed Management in Rainfed Agriculture. 2011;19(33): 349-391.
  10. Thakur D.R., PathaniaM.S. and Thakur R. K. Impact analyasis of integrated watershed project in Swan catchment, Una district of Himachal Pradesh. J.Ext.Educ. 2014; 1-113.
  11. Nirankusha, S. Impact of watershed development (IWMP) on farm economy in Belagavi district. M.Sc. Thesis (Unpub.), Univ. Agric. Sci., Dharwad. 2015.