Wheat seed demand assessment assisted by genotyping in Ethiopia

IF 1.6 4区 农林科学 Q1 Agricultural and Biological Sciences
Endeshaw Habte, C. Yirga, M. Jaleta, K. Tesfaye, A. Bekele, O. Erenstein
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引用次数: 0

Abstract

Summary This study examines the extent to which wheat varieties supplied by the formal seed system align with the varieties demanded and used by farmers in Ethiopia. The framework of stated and revealed preferences drawn from the consumer preference theory is used to analyze farmer demand for different wheat varieties. We used official data from the formal seed sector and representative survey data from wheat farm households in Ethiopia. The survey data allow to contrast the farmer reported varietal use with genotyping by sequencing (also known as DNA fingerprinting). Farmers’ reliance on informal seed sources and own saved seed, among others, contributes to the misidentification of the varieties they grow. Consequently, farmers are likely to misinform the formal seed demand assessment leading to either an over- or underestimation of actual seed demand for specific wheat varieties. Genotyping by sequencing, as opposed to farmer reports, established the persistence of old varieties. This also implies vulnerability of wheat production to disease dynamics depending on the longevity of disease resistance by the variety in use. Apart from narrowing the gap between the actual and stated demand and ensuring timely replacement of wheat varieties, genotyping-assisted estimates can save seed carry-over cost. Genotyping by sequencing is increasingly used as the new benchmark and gold standard for identifying and tracking the adoption of crop varieties. The technique has potential to enhance the performance of the seed sector through effective planning that can optimize resource commitments and accelerate the rate of varietal replacement.
埃塞俄比亚基因分型辅助小麦种子需求评估
摘要本研究考察了正式种子系统提供的小麦品种与埃塞俄比亚农民需求和使用的品种的一致程度。利用消费者偏好理论中的陈述和揭示偏好框架来分析农民对不同小麦品种的需求。我们使用了来自正式种子部门的官方数据和埃塞俄比亚小麦农户的代表性调查数据。调查数据可以通过测序(也称为DNA指纹)将农民报告的品种使用与基因分型进行对比。农民对非正式种子来源和自己保存的种子等的依赖,导致了对他们种植的品种的错误识别。因此,农民可能会误导正式的种子需求评估,导致高估或低估特定小麦品种的实际种子需求。与农民报告相反,通过测序进行基因分型,确立了老品种的持久性。这也意味着小麦生产容易受到疾病动态的影响,这取决于所用品种的抗病寿命。除了缩小实际需求和声明需求之间的差距并确保及时更换小麦品种外,基因分型辅助估计还可以节省种子结转成本。测序基因分型越来越多地被用作识别和跟踪作物品种采用情况的新基准和黄金标准。这项技术有可能通过有效的规划来提高种子部门的绩效,从而优化资源承诺并加快品种更替速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Experimental Agriculture
Experimental Agriculture 农林科学-农艺学
CiteScore
2.50
自引率
6.20%
发文量
29
审稿时长
24 months
期刊介绍: With a focus on the tropical and sub-tropical regions of the world, Experimental Agriculture publishes the results of original research on field, plantation and herbage crops grown for food or feed, or for industrial purposes, and on farming systems, including livestock and people. It reports experimental work designed to explain how crops respond to the environment in biological and physical terms, and on the social and economic issues that may influence the uptake of the results of research by policy makers and farmers, including the role of institutions and partnerships in delivering impact. The journal also publishes accounts and critical discussions of new quantitative and qualitative methods in agricultural and ecosystems research, and of contemporary issues arising in countries where agricultural production needs to develop rapidly. There is a regular book review section and occasional, often invited, reviews of research.
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