Early-Stage Adoption of Improved Banana “Matooke” Hybrids in Uganda: A Count Data Analysis Based on Farmers’ Perceptions

Author:

Akankwasa K.1,Ortmann G. F.2,Wale E.2,Tushemereirwe W. K.3

Affiliation:

1. Banana Program of the National Agricultural Research Organization (NARO), P. O. Box 7065, Kampala, Uganda

2. Department of Agricultural Economics, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, #P/Bag X01, Scottsville, Pietermaritzburg 3209, South Africa

3. National Agricultural Research Laboratories, Kawanda, P. O. Box 7065 Kampala, Uganda

Abstract

This paper analyzes farmers’ perceptions regarding the consumption and production attributes of new banana hybrids in Uganda. The data were collected from a sample of 454 farmers. Following descriptive statistics and a factor analysis, a zero-inflated poisson (ZIP) regression model was estimated to understand the effect of farmers’ perceptions and other factors on the likelihood of adopting the new hybrids. The results show that, compared to a local variety (Mbwazirume), four of the hybrids are preferred in terms of production attributes but regarded as inferior with respect to consumption characteristics. Resistance to nematodes, tolerance to weevils and high performance in good seasons in terms of bunch size mainly explain early-stage adoption of the hybrid banana varieties. Hybrid M9 is regarded as having a relatively good performance with respect to most of the production and consumption characteristics. In collaboration with extension agents, variety M9 could be disseminated to a wider farming community that targets larger households, younger farmers and farmers with relatively large sizes of land.

Publisher

World Scientific Pub Co Pte Lt

Subject

Management of Technology and Innovation

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3