Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat

Abstract Smallholder farming communities face highly variable climatic conditions that threaten locally adapted, low-input agriculture. The benefits of modern crop breeding may fail to reach their fields when broadly adapted genetic materials do not address local requirements. To date, participatory...

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Autores principales:	Chiara Mancini, Yosef G. Kidane, Dejene K. Mengistu, Melfa and Workaye Farmer Community, Mario Enrico Pè, Carlo Fadda, Matteo Dell’Acqua
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bc1227f691094d8c8741ce525ad3800e
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spelling	oai:doaj.org-article:bc1227f691094d8c8741ce525ad3800e2021-12-02T12:30:42ZJoining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat10.1038/s41598-017-07628-42045-2322https://doaj.org/article/bc1227f691094d8c8741ce525ad3800e2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07628-4https://doaj.org/toc/2045-2322Abstract Smallholder farming communities face highly variable climatic conditions that threaten locally adapted, low-input agriculture. The benefits of modern crop breeding may fail to reach their fields when broadly adapted genetic materials do not address local requirements. To date, participatory methods only scratched the surface of the exploitability of farmers’ traditional knowledge in breeding. In this study, 30 smallholder farmers in each of two locations in Ethiopia provided quantitative evaluations of earliness, spike morphology, tillering capacity and overall quality on 400 wheat genotypes, mostly traditional varieties, yielding altogether 192,000 data points. Metric measurements of ten agronomic traits were simultaneously collected, allowing to systematically break down farmers’ preferences on quantitative phenotypes. Results showed that the relative importance of wheat traits differed by gender and location. Farmer traits were variously contributed by metric traits, and could only partially be explained by them. Eventually, farmer trait values were used to produce a ranking of the 400 wheat varieties identifying the trait combinations most desired by farmers. The study scale and methods lead to a better understanding of the quantitative basis of Ethiopian smallholder farmer preference in wheat, broadening the discussion for the future of local, sustainable breeding efforts accommodating farmers’ knowledge.Chiara ManciniYosef G. KidaneDejene K. MengistuMelfa and Workaye Farmer CommunityMario Enrico PèCarlo FaddaMatteo Dell’AcquaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chiara Mancini Yosef G. Kidane Dejene K. Mengistu Melfa and Workaye Farmer Community Mario Enrico Pè Carlo Fadda Matteo Dell’Acqua Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
description	Abstract Smallholder farming communities face highly variable climatic conditions that threaten locally adapted, low-input agriculture. The benefits of modern crop breeding may fail to reach their fields when broadly adapted genetic materials do not address local requirements. To date, participatory methods only scratched the surface of the exploitability of farmers’ traditional knowledge in breeding. In this study, 30 smallholder farmers in each of two locations in Ethiopia provided quantitative evaluations of earliness, spike morphology, tillering capacity and overall quality on 400 wheat genotypes, mostly traditional varieties, yielding altogether 192,000 data points. Metric measurements of ten agronomic traits were simultaneously collected, allowing to systematically break down farmers’ preferences on quantitative phenotypes. Results showed that the relative importance of wheat traits differed by gender and location. Farmer traits were variously contributed by metric traits, and could only partially be explained by them. Eventually, farmer trait values were used to produce a ranking of the 400 wheat varieties identifying the trait combinations most desired by farmers. The study scale and methods lead to a better understanding of the quantitative basis of Ethiopian smallholder farmer preference in wheat, broadening the discussion for the future of local, sustainable breeding efforts accommodating farmers’ knowledge.
format	article
author	Chiara Mancini Yosef G. Kidane Dejene K. Mengistu Melfa and Workaye Farmer Community Mario Enrico Pè Carlo Fadda Matteo Dell’Acqua
author_facet	Chiara Mancini Yosef G. Kidane Dejene K. Mengistu Melfa and Workaye Farmer Community Mario Enrico Pè Carlo Fadda Matteo Dell’Acqua
author_sort	Chiara Mancini
title	Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
title_short	Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
title_full	Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
title_fullStr	Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
title_full_unstemmed	Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
title_sort	joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of ethiopian wheat
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/bc1227f691094d8c8741ce525ad3800e
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Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat

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