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Farmers’ adoption of cassava agronomic practices and intercrop technologies in Abia and Imo States, Nigeria


Chioma Udo Nwaobiala

Abstract

The study analysed farmers’ adoption of cassava agronomic practices and intercrop technologies in Abia and Imo States, Nigeria. Purposive and multi-stage random sampling techniques were used to select two hundred and forty (240) cassava farmers (120 each for Abia and Imo states). Data were collected with a structured questionnaire and analysed using percentage, Probit regression and Z–test analysis. Results revealed that farmers sourced information on cassava production technologies mostly from radio programmes (91%) and 90% respectively in Imo and Abia, extension agents (80%) across the states and fellow cassava farmers (79.1%) in Abia and (77%) in Imo. Results also showed that Abia farmers had adoption index of 86% and 80% (Imo farmers) of cassava agronomic practices with mean adoption scores of 4.3 and 4.0 respectively. Probit regression result showed that gender (-0.0653), age (0.0581), education (0.3904) and extension contact (0.0652) influenced farmers’ adoption of cassava agronomic practices in Abia state, while gender (-0.0525), age (0.0421), household size (0.7211), education (0.2799), farm size (0.6099) and extension contact (0.0597) influenced farmers in Imo state. The coefficients of gender, (0.0534), education (0.0210), farming experience (0.0441), farm income (0.0572) and extension contact (0.0297) influenced farmers’ adoption of  cassava intercrop technologies in Abia state whereas gender (0.0438), education (0.0332) and extension contact (0.0017)  influenced farmers in Imo state. The Z- test result showed no  significant difference between group of farmers’ adoption of  cassava agronomic practices (0.54) and intercrop technologies (0.14) in Abia and Imo States. Awareness on cassava intercrop technologies to farmers should be intensified in order to facilitate increased adoption.


Keywords: Technologies, adoption, cassava, agronomic practices, intercrop, technologies


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eISSN: 2408-6851
print ISSN: 1119-944X