Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Binbin Du; Qifei Wang; Genlou Sun; Xifeng Ren; Yun Cheng; Yixiang Wang; Song Gao; Chengdao Li; Dongfa Sun

doi:10.1038/s41598-019-53620-5

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Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Journal article

Open access

Peer reviewed

Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley

Binbin Du, Qifei Wang, Genlou Sun, Xifeng Ren, Yun Cheng, Yixiang Wang, Song Gao, Chengdao Li and Dongfa Sun

Scientific reports, Vol.9(1), 18823

2019

DOI: https://doi.org/10.1038/s41598-019-53620-5

PMCID: PMC6906516

PMID: 31827117

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Abstract

Agricultural genetics

Plant breeding

Grain filling is an important growth process in formation of yield and quality for barley final yield determination. To explore the grain development behavior during grain filling period in barley, a high-density genetic map with 1962 markers deriving from a doubled haploid (DH) population of 122 lines was used to identify dynamic quantitative trait locus (QTL) for grain filling rate (GFR) and five grain size traits: grain area (GA), grain perimeter (GP), grain length (GL), grain width (GW) and grain diameter (GD). Unconditional QTL mapping is to detect the cumulative effect of genetic factors on a phenotype from development to a certain stage. Conditional QTL mapping is to detect a net effect of genetic factors on the phenotype at adjacent time intervals. Using unconditional, conditional and covariate QTL mapping methods, we successfully detected 34 major consensus QTLs. Moreover, certain candidate genes related to grain size, plant height, yield, and starch synthesis were identified in six QTL clusters, and individual gene was specifically expressed in different grain filling stages. These findings provide useful information for understanding the genetic basis of the grain filling dynamic process and will be useful for molecular marker-assisted selection in barley breeding.

Details

Title: Mapping dynamic QTL dissects the genetic architecture of grain size and grain filling rate at different grain-filling stages in barley
Authors/Creators: Binbin Du - Huazhong Agricultural University
Qifei Wang - Huazhong Agricultural University
Genlou Sun - Saint Mary's University
Xifeng Ren - Wuhan, 430070 China
Yun Cheng - Huazhong Agricultural University
Yixiang Wang - Wuhan, 430070 China
Song Gao - Huazhong Agricultural University
Chengdao Li - Government of Western Australia
Dongfa Sun - Huazhong Agricultural University
Publication Details: Scientific reports, Vol.9(1), 18823
Publisher: Nature Publishing Group UK
Identifiers: 991005569359007891
Murdoch Affiliation: Centre for Crop and Food Innovation
Language: English
Resource Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 3 Agriculture, Environment & Ecology; 3.4 Crop Science; 3.4.96 QTL
Web Of Science research areas: Agronomy
ESI research areas: Agricultural Sciences