DETERMINANTS AND ADOPTION OF WEST AFRICA AGRICULTURAL PRODUCTIVITY PROGRAMME (WAAPP) IMPROVED RICE PRODUCTION TECHNOLOGIES IN GIREI LOCAL GOVERNMENT AREA, ADAMAWA STATE, NIGERIA

  • Abdulhameed A. Girei Department of Agricultural Economics & Extension, Faculty of Agriculture, Nasarawa State University, Keff, Nigeria
  • Ibrahim S. Usman Department of Agricultural Economics & Extension, School of Agriculture and Agricultural Technology, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria
  • E. Ogezi Department of Agricultural Economics & Extension, Faculty of Agriculture, Nasarawa State University, Keff, Nigeria
  • Andeshongtso K. Ayuba Department of Agricultural Economics & Extension, School of Agriculture and Agricultural Technology, Modibbo Adama University of Technology, Yola, Adamawa State, Nigeria

Abstract

Background. The demand for rice is increasing at this time when rice importation has been banned in Nigeria. This study investigated the Adoption of Improved West African Agricultural Productivity Programme improved rice production technologies in Girei Local Government Area of Adamawa State, Nigeria.


Material and methods. Semi-structured questionnaire was used for data collection from seventy-two farmers who were randomly selected and interviewed.


Results. The result showed that 85.7% of the rice farmers were male with mean age of about 42 years, 73.6% were married. The mean household size is five persons. About 18% of the respondents had no formal education; a good number of farmers adopted the improved technologies. Education level, Marital Status and Farming Experience influenced adoption of the technologies, and were positive and statistically significant at 5%. This implies that as the rice farmer increase the tendency to adopt improved technologies, their propensity to farming also increase. Double log was choosing as the lead equation and the result revealed an R2 value of 0.754, which implies that 75% variation in the adoption of WAAPP rice technologies is explained by the variables included in the model, and F ratio was also significant at 1%, indicating goodness of fit.


Conclusion. Major constraints include disease and pest; scarcity and high cost of inputs; inadequate rural road network; Lack of mechanization on rice production. Efforts should be made to link farmers to agro-input dealers for adequate, quality, and timely input supplies.

Published
Apr 13, 2021
Section
Original paper