Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments

Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F5:7recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, test...

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Autores principales:	Smit Dhakal, Xiaoxiao Liu, Chenggen Chu, Yan Yang, Jackie C. Rudd, Amir M.H. Ibrahim, Qingwu Xue, Ravindra N. Devkota, Jason A. Baker, Shannon A. Baker, Bryan E. Simoneaux, Geraldine B. Opena, Russell Sutton, Kirk E. Jessup, Kele Hui, Shichen Wang, Charles D. Johnson, Richard P. Metz, Shuyu Liu
Formato:	article
Lenguaje:	EN
Publicado:	PeerJ Inc. 2021
Materias:	Quantitative trait loci Wheat Yield Test weight Mega-environments Medicine R
Acceso en línea:	https://doaj.org/article/8b8a8d1159234f86bbc9d6bca5f219a6
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spelling	oai:doaj.org-article:8b8a8d1159234f86bbc9d6bca5f219a62021-11-26T15:05:12ZGenome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments10.7717/peerj.123502167-8359https://doaj.org/article/8b8a8d1159234f86bbc9d6bca5f219a62021-11-01T00:00:00Zhttps://peerj.com/articles/12350.pdfhttps://peerj.com/articles/12350/https://doaj.org/toc/2167-8359Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F5:7recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, test weight, heading date, and plant height. The objective of this study was to detect QTL conferring grain yield and agronomic traits from multiple mega-environments. Through a linkage map with 5,948 single nucleotide polymorphisms (SNPs), 51 QTL were consistently identified in two or more environments or analyses. Ten QTL linked to two or more traits were also identified on chromosomes 1A, 1D, 4B, 4D, 6A, 7B, and 7D. Those QTL explained up to 13.3% of additive phenotypic variations with the additive logarithm of odds (LOD(A)) scores up to 11.2. The additive effect increased yield up to 8.16 and 6.57 g m−2 and increased test weight by 2.14 and 3.47 kg m−3 with favorable alleles from TAM 111 and TAM 112, respectively. Seven major QTL for yield and six for TW with one in common were of our interest on MAB as they explained 5% or more phenotypic variations through additive effects. This study confirmed previously identified loci and identified new QTL and the favorable alleles for improving grain yield and agronomic traits.Smit DhakalXiaoxiao LiuChenggen ChuYan YangJackie C. RuddAmir M.H. IbrahimQingwu XueRavindra N. DevkotaJason A. BakerShannon A. BakerBryan E. SimoneauxGeraldine B. OpenaRussell SuttonKirk E. JessupKele HuiShichen WangCharles D. JohnsonRichard P. MetzShuyu LiuPeerJ Inc.articleQuantitative trait lociWheatYieldTest weightMega-environmentsMedicineRENPeerJ, Vol 9, p e12350 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Quantitative trait loci Wheat Yield Test weight Mega-environments Medicine R
spellingShingle	Quantitative trait loci Wheat Yield Test weight Mega-environments Medicine R Smit Dhakal Xiaoxiao Liu Chenggen Chu Yan Yang Jackie C. Rudd Amir M.H. Ibrahim Qingwu Xue Ravindra N. Devkota Jason A. Baker Shannon A. Baker Bryan E. Simoneaux Geraldine B. Opena Russell Sutton Kirk E. Jessup Kele Hui Shichen Wang Charles D. Johnson Richard P. Metz Shuyu Liu Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
description	Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F5:7recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, test weight, heading date, and plant height. The objective of this study was to detect QTL conferring grain yield and agronomic traits from multiple mega-environments. Through a linkage map with 5,948 single nucleotide polymorphisms (SNPs), 51 QTL were consistently identified in two or more environments or analyses. Ten QTL linked to two or more traits were also identified on chromosomes 1A, 1D, 4B, 4D, 6A, 7B, and 7D. Those QTL explained up to 13.3% of additive phenotypic variations with the additive logarithm of odds (LOD(A)) scores up to 11.2. The additive effect increased yield up to 8.16 and 6.57 g m−2 and increased test weight by 2.14 and 3.47 kg m−3 with favorable alleles from TAM 111 and TAM 112, respectively. Seven major QTL for yield and six for TW with one in common were of our interest on MAB as they explained 5% or more phenotypic variations through additive effects. This study confirmed previously identified loci and identified new QTL and the favorable alleles for improving grain yield and agronomic traits.
format	article
author	Smit Dhakal Xiaoxiao Liu Chenggen Chu Yan Yang Jackie C. Rudd Amir M.H. Ibrahim Qingwu Xue Ravindra N. Devkota Jason A. Baker Shannon A. Baker Bryan E. Simoneaux Geraldine B. Opena Russell Sutton Kirk E. Jessup Kele Hui Shichen Wang Charles D. Johnson Richard P. Metz Shuyu Liu
author_facet	Smit Dhakal Xiaoxiao Liu Chenggen Chu Yan Yang Jackie C. Rudd Amir M.H. Ibrahim Qingwu Xue Ravindra N. Devkota Jason A. Baker Shannon A. Baker Bryan E. Simoneaux Geraldine B. Opena Russell Sutton Kirk E. Jessup Kele Hui Shichen Wang Charles D. Johnson Richard P. Metz Shuyu Liu
author_sort	Smit Dhakal
title	Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title_short	Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title_full	Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title_fullStr	Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title_full_unstemmed	Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title_sort	genome-wide qtl mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
publisher	PeerJ Inc.
publishDate	2021
url	https://doaj.org/article/8b8a8d1159234f86bbc9d6bca5f219a6
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Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments

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