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

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Title Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates
 
Creator 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
 
Subject participatory research
plant breeding
farmers
varieties
eragrostis tef
agronomic characters
climate change
underutilized species
investigación participativa
fitomejoramiento
 
Description 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.
 
Date 2022-09
2023-01-10T10:05:58Z
2023-01-10T10:05:58Z
 
Type Journal Article
 
Identifier Woldeyohannes, A.B.; Iohannes, S.D.; Miculan, M.; Caproni, L.; Ahmed, J.S.; de Sousa, K.; Desta, E.A.; Fadda, C.; Pè, M.E.; Dell'Acqua, M. (2022) Data-driven, participatory characterization of farmer varieties discloses teff breeding potential under current and future climates eLife 11:e80009. ISSN: 2050-084X
2050-084X
https://hdl.handle.net/10568/126725
https://doi.org/10.7554/eLife.80009
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format e80009
application/pdf
 
Publisher eLife Sciences Publications, Ltd
 
Source eLife