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Bibliothèque Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates

Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates

Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates

Resource information

Date of publication
Décembre 2021
Resource Language
ISBN / Resource ID
LP-CG-20-23-1208

In smallholder farming systems, traditional farmer varieties of neglected and underutilized species (NUS) support the livelihoods of millions of growers and consumers. NUS combine cultural and agronomic value with local adaptation, and transdisciplinary methods are needed to fully evaluate their breeding potential. Here, we assembled and characterized the genetic diversity of a representative collection of 366 Ethiopian teff (Eragrostis tef) farmer varieties and breeding materials, describing their phylogenetic relations and local adaptation on the Ethiopian landscape. We phenotyped the collection for its agronomic performance, involving local teff farmers in a participatory variety evaluation. Our analyses revealed environmental patterns of teff genetic diversity and allowed us to identify 10 genetic clusters associated with climate variation and with uneven spatial distribution. A genome-wide association study was used to identify loci and candidate genes related to phenology, yield, local adaptation, and farmers’ appreciation. The estimated teff genomic offset under climate change scenarios highlighted an area around lake Tana where teff cropping may be most vulnerable to climate change. Our results show that transdisciplinary approaches may efficiently propel untapped NUS farmer varieties into modern breeding to foster more resilient and sustainable cropping systems.

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Author(s), editor(s), contributor(s)

Woldeyohannes, Aemiro Bezabih , Iohannes, Sessen Daniel , Miculan, Mara , Caproni, Leonardo , Ahmed, Jemal Seid , Sousa, Kauê de , Desta, Ermias Abate , Fadda, Carlo , Pè, Mario Enrico , Dell'Acqua, Matteo

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Geographical focus