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Impact of wheat-Agropyron germplasm on the improvement of grain weight and size: a comprehensive QTL analysis

Published online by Cambridge University Press:  26 December 2024

Jiansheng Wang Open the ORCID record for Jiansheng Wang [Opens in a new window] ,
Shiping Cheng ,
Erwei Wang ,
Aichu Ma  and
Guiling Hou
Jiansheng Wang*
Affiliation:
College of Chemistry and Environment Engineering, Pingdingshan University, Pingdingshan, Henan, China Henan Key Laboratory of Germplasm Innovation and Utilization of Eco-economic Woody Plant, Pingdingshan, Henan, China
Shiping Cheng
Affiliation:
College of Chemistry and Environment Engineering, Pingdingshan University, Pingdingshan, Henan, China Henan Key Laboratory of Germplasm Innovation and Utilization of Eco-economic Woody Plant, Pingdingshan, Henan, China
Erwei Wang
Affiliation:
Pingdingshan Academy of Agricultural Science, Pingdingshan, Henan, China
Aichu Ma
Affiliation:
Pingdingshan Academy of Agricultural Science, Pingdingshan, Henan, China
Guiling Hou
Affiliation:
College of Chemistry and Environment Engineering, Pingdingshan University, Pingdingshan, Henan, China Henan Key Laboratory of Germplasm Innovation and Utilization of Eco-economic Woody Plant, Pingdingshan, Henan, China
*
Corresponding author: Jiansheng Wang; Email: [email protected]
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Abstract

Grain weight and size significantly influence wheat yield and quality. This study aimed to dissect the genetic basis of quantitative trait loci (QTL) associated with grain weight and size in hexaploid wheat (Triticum aestivum L.) using the novel wheat-Agropyron germplasm Pubing3228. A population of 210 F8 recombinant inbred lines derived from Pubing3228 and Jing4839 was evaluated across multiple environments for grain length, width, thickness and thousand-grain weight (TGW). Genotyping was conducted using the Illumina Infinium iSelect 55 K SNP chip, followed by QTL mapping with QTL IciMapping software. A total of 114 QTLs were identified across 20 wheat chromosomes, highlighting major QTLs for grain length, width/thickness and TGW. Candidate gene analysis revealed 22 genes expressed in grains, including those specifically associated with TGW, grain width/thickness and grain length. These findings enhance our understanding of the genetic mechanisms underlying wheat grain traits, providing insights for marker-assisted selection in wheat breeding programmes.

Keywords

candidate genesgrain traitshexaploid wheatquantitative trait locirecombinant inbred line populationwheat-Agropyron germplasm Pubing3228
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 162 , Issue 6 , December 2024 , pp. 562 - 572
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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