Determinants of Wheat Crop Production Row Planting Technology Adoption in Duna Woreda, Hadiya Zone, Ethiopia

doi:10.7176/jbah/9-17-04

Abstract

The study was conducted in Duna district, Hadiya Zone, South National Regional State (SNRS). Four wheat producing kebeles among the 23 wheat producing kebeles were selected and a total of 187 selected households were interviewed to generate primary data. Descriptive statistics and binary logit were employed to determine factors that influence the adoption behavior row planting wheat crop production technology of farmers. A sum of ten independent variables for the binary logit model was used, out of which seven variables were found to significantly influence the adoption of row planting of wheat crop production technology. These are: age of the household head, education of household head, family size of household head, size of cultivated land, livestock holding, and use of credit and extension services. The study recommends that any effort in promoting row planting wheat crop production technology should consider the social, economic, institutional and psychological characteristics for better adoption of row planting wheat crop production technology. Keywords: Adoption, Production, Wheat, Row Planting Technology, Binary Logit Model. DOI : 10.7176/JBAH/9-17-04 Publication date :September 30 th 2019

Highlights

Background of the StudyAgricultural technology is among the most impactful area of modern technology; play a key role in enhancing agricultural yield, poverty reduction and in improving national food security
Adoption of row planting technology refers to the decision to use a modern technology by a farmer
According to comparison by participation in row planting, out of the 100% participant‘s households 72.50% is headed by male participants and the corresponding figure for nonparticipants is about 68.22%

Summary

Introduction

Agricultural technology is among the most impactful area of modern technology; play a key role in enhancing agricultural yield, poverty reduction and in improving national food security. Production and productivity of the agricultural sector is low in developing countries due to low technological adoption and techniques among others (Abraham et al, 2014). The situation in Ethiopia is not any different. Problem such as low technology adoption, low use of recommended farm inputs, broadcast farming and rain-fall are the prime bottlenecks behind the poor performance of the sector (Lulit et al, 2012). Livelihood for majority of the population in developing countries from agricultural yield and a modern technology, which creates important opportunities to enhance yield and productivity (Feder et al, 1985)

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