Preference Analysis of Pigeonpea Varietal Attributes among Farmers and Traders in Kalyana Karnataka Region: A Conjoint Analysis Approach
Ajayakumar, Suresh S Patil, B S Reddy, G M Hiremath, S B Goudappa
Asian Journal of Agricultural Extension, Economics & Sociology · pp. 404–411 · Published 30 Apr 2024
10.9734/ajaees/2024/v42i52451Abstract
Pulses play important role in the farming economy of Kalyana-Karnataka region. The study was carried out to identify the attributes of pigeonpea varieties preferred by both the farmers and traders using conjoint analysis technique. Multistage purposive random sampling technique was used for selection of respondents. Totally 120 farmers constituting 40 from each districts growing TS-3R and GRG-811 was selected from Bidar, Kalaburagi and Yadgir districts along with 30 pigeonpea traders 10 from each district were selected for the study. The findings of the study indicated that Kalyana Karnataka region is primarily inclined by attributes such as output price, crop duration, resistance to pests and diseases, and yield levels. Farmers prioritize varieties with higher output prices and shorter crop durations. Resistance to wilt and pod borer, along with minimal flower drop, are also significant factors. Farmers aim for yields exceeding 6 to 7 quintals per acre, alongside output prices above Rs.7000. Pigeonpea traders in the study area prioritize moisture content, thickness of seed coat, and recovery percentage for milling. Grains with less than 8% moisture content and thin seed coats are preferred. Recovery rates above 80% and longer keeping quality are also favored, while raw material price holds minimal importance. Conjoint analysis is finding increasing application in the field of market research and wider management decision- making. Hence, in the present study, it was used to measure the farmer’s and trader’s preference for the pigeonpea quality attributes. This study highlights the pivotal attributes guiding farmer and trader preferences for pigeonpea varieties in Kalyana-Karnataka region. Through conjoint analysis, it reveals crucial factors shaping variety selection and market dynamics. Future researchers can leverage these insights to optimize agricultural interventions and enhance crop productivity in similar contexts.
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