Assessment of Farmers’ Adoption of Improved Groundnut Cultivation Practices in Bundelkhand Region of Uttar Pradesh

Yash Pateriya; N R Meena; R. K. Doharey; Prateek Kumar; Smita Singh; Kumar Sonu

doi:10.48165/IJEE.2026.623RN04

Authors

Yash Pateriya Research Scholar, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India
N R Meena Assistant Professor, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India
R. K. Doharey Professor, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India
Prateek Kumar Research Scholar, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India
Smita Singh Research Scholar, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India
Kumar Sonu Research Scholar, Department of Agricultural Extension Education, Acharya Narendra Deva University of Agriculture and Technology Kumarganj, Ayodhya, U.P., India https://orcid.org/0009-0005-7922-4609

https://doi.org/10.48165/IJEE.2026.623RN04

Keywords:

Technology Adoption, Groundnut, Bundelkhand, Path Analysis, Sustainable Production

Abstract

The study was conducted during 2025–2026 in the semi-arid Bundelkhand region of Uttar Pradesh, India, to examine the socioeconomic, institutional, and behavioral determinants of groundnut production technology adoption and to map pathways linking adoption to sustainable production outcomes. A multi-stage stratified random sampling design was employed to select 480 groundnut-growing households from 32 villages across Jhansi and Mahoba districts. Primary data were collected through a pre-tested structured interview schedule administered via face-to-face personal interviews. Adoption was assessed across 11 technology components covering 61 discrete practices using a three-point scale and summarized as an Adoption Index. Results indicated that time and method of sowing recorded the highest Adoption Index (72.84), while crop diversification was the least adopted (Adoption Index: 49.83). A majority (75.63%) of farmers fell in the medium adoption category. Pearson correlation analysis revealed that family size (r = 0.459), information source (r = 0.582), and knowledge level (r = 0.448) were significantly associated with adoption. Path coefficient analysis identified information source and family size as variables with the highest total effects on adoption. These findings highlighted the need for context-specific extension strategies to bridge adoption gaps in resource-constrained semi-arid farming systems.

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