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Wheat individual grain-size variance originates from crop development and from specific genetic determinism

Wheat grain yield is usually decomposed in the yield components: number of spikes / m(2), number of grains / spike, number of grains / m(2) and thousand kernel weight (TKW). These are correlated one with another due to yield component compensation. Under optimal conditions, the number of grains per...

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Autores principales: Beral, Aurore, Rincent, Renaud, Le Gouis, Jacques, Girousse, Christine, Allard, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098578/
https://www.ncbi.nlm.nih.gov/pubmed/32214360
http://dx.doi.org/10.1371/journal.pone.0230689
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author Beral, Aurore
Rincent, Renaud
Le Gouis, Jacques
Girousse, Christine
Allard, Vincent
author_facet Beral, Aurore
Rincent, Renaud
Le Gouis, Jacques
Girousse, Christine
Allard, Vincent
author_sort Beral, Aurore
collection PubMed
description Wheat grain yield is usually decomposed in the yield components: number of spikes / m(2), number of grains / spike, number of grains / m(2) and thousand kernel weight (TKW). These are correlated one with another due to yield component compensation. Under optimal conditions, the number of grains per m(2) has been identified as the main determinant of yield. However, with increasing occurrences of post-flowering abiotic stress associated with climate change, TKW may become severely limiting and hence a target for breeding. TKW is usually studied at the plot scale as it represents the average mass of a grain. However, this view disregards the large intra-genotypic variance of individual grain mass and its effect on TKW. The aim of this study is to investigate the determinism of the variance of individual grain size. We measured yield components and individual grain size variances of two large genetic wheat panels grown in two environments. We also carried out a genome-wide association study using a dense SNPs array. We show that the variance of individual grain size partly originates from the pre-flowering components of grain yield; in particular it is driven by canopy structure via its negative correlation with the number of spikes per m(2). But the variance of final grain size also has a specific genetic basis. The genome-wide analysis revealed the existence of QTL with strong effects on the variance of individual grain size, independently from the other yield components. Finally, our results reveal some interesting drivers for manipulating individual grain size variance either through canopy structure or through specific chromosomal regions.
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spelling pubmed-70985782020-04-03 Wheat individual grain-size variance originates from crop development and from specific genetic determinism Beral, Aurore Rincent, Renaud Le Gouis, Jacques Girousse, Christine Allard, Vincent PLoS One Research Article Wheat grain yield is usually decomposed in the yield components: number of spikes / m(2), number of grains / spike, number of grains / m(2) and thousand kernel weight (TKW). These are correlated one with another due to yield component compensation. Under optimal conditions, the number of grains per m(2) has been identified as the main determinant of yield. However, with increasing occurrences of post-flowering abiotic stress associated with climate change, TKW may become severely limiting and hence a target for breeding. TKW is usually studied at the plot scale as it represents the average mass of a grain. However, this view disregards the large intra-genotypic variance of individual grain mass and its effect on TKW. The aim of this study is to investigate the determinism of the variance of individual grain size. We measured yield components and individual grain size variances of two large genetic wheat panels grown in two environments. We also carried out a genome-wide association study using a dense SNPs array. We show that the variance of individual grain size partly originates from the pre-flowering components of grain yield; in particular it is driven by canopy structure via its negative correlation with the number of spikes per m(2). But the variance of final grain size also has a specific genetic basis. The genome-wide analysis revealed the existence of QTL with strong effects on the variance of individual grain size, independently from the other yield components. Finally, our results reveal some interesting drivers for manipulating individual grain size variance either through canopy structure or through specific chromosomal regions. Public Library of Science 2020-03-26 /pmc/articles/PMC7098578/ /pubmed/32214360 http://dx.doi.org/10.1371/journal.pone.0230689 Text en © 2020 Beral et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Beral, Aurore
Rincent, Renaud
Le Gouis, Jacques
Girousse, Christine
Allard, Vincent
Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title_full Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title_fullStr Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title_full_unstemmed Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title_short Wheat individual grain-size variance originates from crop development and from specific genetic determinism
title_sort wheat individual grain-size variance originates from crop development and from specific genetic determinism
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7098578/
https://www.ncbi.nlm.nih.gov/pubmed/32214360
http://dx.doi.org/10.1371/journal.pone.0230689
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