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Master of Science - ETD | Electronic Theses and Dissertations of ...

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V. DISCUSSION<br />

The results <strong>of</strong> the study presented in the previous chapter have been discussed in<br />

this chapter with cross references done under review <strong>of</strong> literature, to highlight the major<br />

trends observed <strong>and</strong> some <strong>of</strong> the reasons responsible for the findings have been discussed<br />

under the following headings.<br />

5.1 Socio-economic characteristics <strong>of</strong> the sample farmers<br />

The impact assessment <strong>of</strong> farm-ponds will be easily facilitated if the socio-economic<br />

indicators <strong>of</strong> the selected sample farmers <strong>of</strong> with <strong>and</strong> without farm-pond areas are<br />

homogenous. If there is heterogeneity, the information on the differences that exists help in<br />

drawing meaningful interpretations from the results. With this view the socio-economic<br />

characteristics <strong>of</strong> the sample farmers are analysed <strong>and</strong> discussed here under with detailed<br />

perspectives.<br />

5.1.1 Age <strong>and</strong> education status<br />

The average age <strong>of</strong> farmers <strong>of</strong> the both with <strong>and</strong> without farm-pond (Table 4.1) area<br />

was around fifty years (53.44 <strong>and</strong> 50.11 years, respectively). As regards to education level <strong>of</strong><br />

sample farmers, the percentage <strong>of</strong> illiterates was lower in the case <strong>of</strong> with farm-pond area<br />

(26.61%) compared to without farm-pond area (46.67%).<br />

The primary education level was more in (Fig.4) with farm-pond (66.66%) area as<br />

compared to without farm-pond area (44.44%). The secondary school education was exactly<br />

<strong>of</strong> same proportion (6.67%) by farmers <strong>of</strong> with farm-pond <strong>and</strong> without farm-pond areas. Thus,<br />

it could be inferred that about 73 per cent <strong>of</strong> farmers in farm-pond area were literates,<br />

whereas only about 53 per cent <strong>of</strong> farmers in without farm-pond area.<br />

5.1.2 Family type <strong>and</strong> size<br />

More than 75 per cent <strong>of</strong> the families were nuclear type families in both the cases <strong>of</strong><br />

with <strong>and</strong> without farm-pond areas <strong>and</strong> hardly 24 per cent <strong>and</strong> 18 per cent <strong>of</strong> the farmers<br />

belonged to joint family type in case <strong>of</strong> with farm-pond <strong>and</strong> without farm-pond (Table 4.2)<br />

areas, respectively. The average family size was almost same between the areas (8.04 <strong>and</strong><br />

7.71), which were not confirmed to norms specified as ideal size <strong>of</strong> the family.<br />

5.1.3 L<strong>and</strong> holding <strong>and</strong> its classification among the sample farmers<br />

Majority <strong>of</strong> the farmers belonged to (Table 4.3) small farmer’s category with exactly<br />

equal proportion (Fig.5) <strong>of</strong> 48.89 per cent in both with farm-pond <strong>and</strong> without farm-pond<br />

areas. Followed by large farmers <strong>of</strong> 33.33 per cent <strong>and</strong> 40 per cent in with farm-pond <strong>and</strong><br />

without farm-pond areas respectively. The average l<strong>and</strong> holding observed was almost same<br />

(1.73 ha <strong>and</strong> 1.77 ha) in both areas, respectively.<br />

Whereas marginal farmers were <strong>of</strong> smaller proportion in both with farm-pond<br />

(17.78%) <strong>and</strong> without farm-pond (11.11%) area.<br />

5.2 Extent <strong>of</strong> use <strong>of</strong> rwhs in the selected micro-watershed<br />

Table 4.4 reveals that the total number <strong>of</strong> beneficiaries under the project were 497<br />

<strong>and</strong> 470 with almost equal total investment <strong>of</strong> Rs. 56.87 lakhs <strong>and</strong> Rs. 54.13 lakhs in the<br />

selected Managundi <strong>and</strong> Tumari-koppa MWS respectively. By considering different harvesting<br />

structures in the study area major part <strong>of</strong> investment was on farm-ponds (47.60%) followed by<br />

contour bunding (31.38%) in Managundi MWS. Where as in Tumari-koppa MWS high<br />

investment was made on contour bunding (52.77%) followed by farm-ponds (37.16%).<br />

The analysis <strong>of</strong> extent <strong>of</strong> use <strong>of</strong> any practice in the study area helps in proper<br />

designing <strong>of</strong> sample farmers. In both Managundi <strong>and</strong> Tumari-koppa MWS, the number <strong>of</strong><br />

beneficiaries (Fig.6 <strong>and</strong> 7) was more in adoption <strong>of</strong> contour bunding (60.76% <strong>and</strong> 66.17%)<br />

followed by farm ponds (19.52% <strong>and</strong> 17.23%, respectively).<br />

5.3 Cost involved in various rwhs<br />

It is generally felt by the farmers that the rain water harvesting structures need heavy<br />

investment <strong>and</strong> the returns are spread over few years. The investment was highest (Rs.<br />

14,573.96/ha) for farm-pond (Fig.8) as compared to other structures. A note worthy feature <strong>of</strong>

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