ArticlePloS one2020
Wheat individual grain-size variance originates from crop development and from specific genetic determinism.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed.
- A multi-omic dissection of spatial hierarchy-dependent grain development in barley (Hordeum vulgare L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Image facilitated assessment of intra-spike variation in grain size in wheat under high temperature and drought stress.Scientific reports · 2023Article
- A Systemic Investigation of Genetic Architecture and Gene Resources Controlling Kernel Size-Related Traits in Maize.International journal of molecular sciences · 2023Article
- Breeding for Economically and Environmentally Sustainable Wheat Varieties: An Integrated Approach from Genomics to Selection.Biology · 2022Review
- Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits.Frontiers in plant science · 2022Article
- The end-use quality of wheat can be enhanced by optimal water management without incurring yield loss.Frontiers in plant science · 2022Article
- Relationship between the Characteristics of Bread Wheat Grains, Storage Time and Germination.Plants (Basel, Switzerland) · 2021Article
- Reinvestigation of THOUSAND-GRAIN WEIGHT 6 grain weight genes in wheat and rice indicates a role in pollen development rather than regulation of auxin content in grains.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
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5 authors.
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Abstract
Wheat grain yield is usually decomposed in the yield components: number of spikes / m2, number of grains / spike, number of grains / m2 and thousand kernel weight (TKW). These are correlated one with another due to yield component compensation. Under optimal conditions, the number of grains per m2 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 m2. 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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