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首页> 外文期刊>Mysore journal of agricultural sciences >Effectiveness of Peripatetic Training on Land Resource Inventory in Kalaburagi and Bidar districts of Karnataka
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Effectiveness of Peripatetic Training on Land Resource Inventory in Kalaburagi and Bidar districts of Karnataka

机译:卡拉巴加喀喇布拉古县土地资源清单危险训练的有效性

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摘要

The study analysed the farmers knowledge on the components of Land Resource Inventory (LRI) in Kalaburagi and Bidar districts of Karnataka. Responses were collected from 64 farmers on the selected ten components of LRI before and after the peripatetictraining in the villages during September 2018 using a structured questionnaire. Pre-tests indicated that the knowledge quotient for different components ranged from 14.93 to 67.16, with an overall mean of 36.09. Four out of ten components were in 'verylow' knowledge quarter (less than 25 % knowledgeable farmers) and the remaining six components were equally distributed in second and third quarters. None of the components found place in very high knowledge quarter. Post-training, the knowledge on mostcomponents improved substantially, with the knowledge quotient ranging from 67.16 to 92.54 with an overall mean of 85.78. As a result of the training, more than 75 per cent of fanners moved from 'very low/moderately low' to 'very high'knowledge on eightcomponents. The knowledge gain was significant among senior fanners, farmers with lower education levels and food-crop growers, as these category farmers had lower pre-training knowledge compared to their counterparts. The knowledge gain on farm-specific soil maps and land classification based on soil pH were significantly different for commercial and food-crop growers. Farmers with larger holdings had better knowledge compared to their counterparts both during pre-test as well as post-test.
机译:该研究分析了农民知识对Kalaburagi和Karnataka的边疆区土地资源清单(LRI)组成的知识。在2018年9月期间,在2018年9月和之后,使用结构化问卷从64名村庄的围岩围绕村庄的围岩前后收集了64个农民的回应。预测试表明,不同组件的知识商范围为14.93至67.16,总体平均值为36.09。十分之一的组件中有四分之一(少于25%的知识渊博的农民),其余六种组分在第二和第三季度同样分布。这些组件都没有找到非常高的知识季度。培训后,大多数人的知识大幅提高,知识商从67.16到92.54范围内,总计均值为85.78。由于培训,超过75%的扇形从“非常低/中等低”转移到八个组件上的“非常高”。由于这些类别农民与同行相比,高级教育水平和食物作物种植者的农民在高级泳员和食物作物种植者中,知识收益是重要的。对于商业和食品作物种植者,基于土壤pH的农业特异性土壤地图和土地分类的知识增益显着差异。与预测试期间的同行,具有较大持有的农民具有更好的知识以及测试后。

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