Literature DB >> 36052993

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

Aemiro Bezabih Woldeyohannes1,2, Sessen Daniel Iohannes1, Mara Miculan1, Leonardo Caproni1, Jemal Seid Ahmed1, Kauê de Sousa3,4, Ermias Abate Desta2, Carlo Fadda5, Mario Enrico Pè1, Matteo Dell'Acqua1.   

Abstract

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.
© 2022, Woldeyohannes, Iohannes et al.

Entities:  

Keywords:  Eragrostis tef; adaptation genomics; genetics; genomics; neglected; participatory variety selection; smallholder farming; underutilized crop

Mesh:

Year:  2022        PMID: 36052993      PMCID: PMC9439699          DOI: 10.7554/eLife.80009

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  57 in total

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4.  Enhancing African orphan crops with genomics.

Authors:  Ramni Jamnadass; Rita H Mumm; Iago Hale; Prasad Hendre; Alice Muchugi; Ian K Dawson; Wayne Powell; Lars Graudal; Howard Yana-Shapiro; Anthony J Simons; Allen Van Deynze
Journal:  Nat Genet       Date:  2020-04       Impact factor: 38.330

5.  MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

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6.  Stacks: an analysis tool set for population genomics.

Authors:  Julian Catchen; Paul A Hohenlohe; Susan Bassham; Angel Amores; William A Cresko
Journal:  Mol Ecol       Date:  2013-05-24       Impact factor: 6.185

7.  Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species.

Authors:  Brant K Peterson; Jesse N Weber; Emily H Kay; Heidi S Fisher; Hopi E Hoekstra
Journal:  PLoS One       Date:  2012-05-31       Impact factor: 3.240

8.  Genome Wide Association Study to Identify the Genetic Base of Smallholder Farmer Preferences of Durum Wheat Traits.

Authors:  Yosef G Kidane; Chiara Mancini; Dejene K Mengistu; Elisabetta Frascaroli; Carlo Fadda; Mario Enrico Pè; Matteo Dell'Acqua
Journal:  Front Plant Sci       Date:  2017-07-17       Impact factor: 5.753

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