特里普拉邦渔业部门研究-推广-农户联系评估指标的确定

Yumlembam Jackie Singh, Shekhar Nath Ojha, Anil Datt Upadhyay, Pachampalayam Shanmugam Ananthan, Shivaji Dadabhau Argade, Martina Meinam, Huirem Bharati, Shakir Ahmad Mir
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引用次数: 0

摘要

该研究于2019年至2022年在特里普拉邦进行,旨在确定渔业部门研究-推广-农民之间联系的不同指标。为了选择能够在研究人员、推广人员和农民之间建立联系的相关指标,本研究查阅了不同的已发表的文献、报告和二手资料。将确定用于建立联系的指标汇集起来,并编制了一份全面的指标清单。在采用三点连续体的综合清单中,有53个指标被划分在不同类别;最相关(MR),相关(R)和不相关(NR)。在获得评委的意见后,用关联度百分比计算出各指标的关联度得分。最终选取平均关联度大于75的24个指标进行研究。开展基于需求的培训(92.78%,I)、定期与农民接触(92.12%,II)和评估参加培训的结果和影响(91.35%,III)是研究确定的几个重要指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of Indicators for Assessing Research-Extension-Farmers Linkage in Fisheries Sectors of Tripura
The study was conducted in Tripura from 2019 to 2022 to identify different indicators for linkage between research-extension-farmers in fisheries sectors. For selecting relevant indicators that are responsible for establishing linkage among the researchers, extension personnel, and farmers, different published documents, reports, and secondary sources were reviewed for the study. The indicators identified for establishing linkage were pooled and a comprehensive list of indicators was prepared. There were 53 indicators that were kept under different categories in the pooled list using the three-point continuum; Most Relevant (MR), Relevant (R), and Not Relevant (NR). After obtaining the judges’ opinions, the relevancy score for each indicator was worked out using the relevancy percentage. The 24 indicators having an average relevancy percentage of more than 75 were finally selected for the study. Conducting need-based training (92.78%, I), Regular contact with farmers (92.12%, II), and Assessing the outcome and impact of training attended (91.35%, III) were few of the important indicators identified in the study.
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