Diversity matters in wheat mixtures: A genomic survey of the impact of genetic diversity on the performance of 12 way durum wheat mixtures grown in two contrasted and controlled environments.

Details

Ressource 1Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: author
License: CC BY 4.0
Serval ID
serval:BIB_5DFC3EC38DEF
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Diversity matters in wheat mixtures: A genomic survey of the impact of genetic diversity on the performance of 12 way durum wheat mixtures grown in two contrasted and controlled environments.
Journal
PloS one
Author(s)
Alsabbagh P., Gay L., Colombo M., Montazeaud G., Ardisson M., Rocher A., Allard V., David J.L.
ISSN
1932-6203 (Electronic)
ISSN-L
1932-6203
Publication state
Published
Issued date
2022
Peer-reviewed
Oui
Volume
17
Number
12
Pages
e0276223
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
In ecology, an increase in genetic diversity within a community in natural ecosystems increases its productivity, while in evolutionary biology, kinship selection predicts that relatedness on social traits improves fitness. Varietal mixtures, where different genotypes are grown together, show contrasting results, especially for grain yield where both positive and negative effects of mixtures have been reported. To understand the effect of diversity on field performance, we grew 96 independent mixtures each composed with 12 durum wheat (Triticum turgidum ssp. durum Thell.) inbred lines, under two contrasting environmental conditions for water availability. Using dense genotyping, we imputed allelic frequencies and a genetic diversity index on more than 96000 loci for each mixture. We then analyzed the effect of genetic diversity on agronomic performance using a genome-wide approach. We explored the stress gradient hypothesis, which proposes that the greater the unfavourable conditions, the more beneficial the effect of diversity on mixture performance. We found that diversity on average had a negative effect on yield and its components while it was beneficial on grain weight. There was little support for the stress gradient theory. We discuss how to use genomic data to improve the assembly of varietal mixtures.
Keywords
Triticum/genetics, Ecosystem, Quantitative Trait Loci, Edible Grain/genetics, Genetic Variation, Environment, Controlled
Pubmed
Open Access
Yes
Create date
19/12/2022 12:13
Last modification date
21/09/2023 6:58
Usage data