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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 F(5:7)recombinant inbred lines derived from the cross ‘TAM 112’/‘TAM 111’ was grown under 28 diverse environments and evaluated for grain yield, te...

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Autores principales: Dhakal, Smit, Liu, Xiaoxiao, Chu, Chenggen, Yang, Yan, Rudd, Jackie C., Ibrahim, Amir M.H., Xue, Qingwu, Devkota, Ravindra N., Baker, Jason A., Baker, Shannon A., Simoneaux, Bryan E., Opena, Geraldine B., Sutton, Russell, Jessup, Kirk E., Hui, Kele, Wang, Shichen, Johnson, Charles D., Metz, Richard P., Liu, Shuyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627123/
https://www.ncbi.nlm.nih.gov/pubmed/34900409
http://dx.doi.org/10.7717/peerj.12350
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author Dhakal, Smit
Liu, Xiaoxiao
Chu, Chenggen
Yang, Yan
Rudd, Jackie C.
Ibrahim, Amir M.H.
Xue, Qingwu
Devkota, Ravindra N.
Baker, Jason A.
Baker, Shannon A.
Simoneaux, Bryan E.
Opena, Geraldine B.
Sutton, Russell
Jessup, Kirk E.
Hui, Kele
Wang, Shichen
Johnson, Charles D.
Metz, Richard P.
Liu, Shuyu
author_facet Dhakal, Smit
Liu, Xiaoxiao
Chu, Chenggen
Yang, Yan
Rudd, Jackie C.
Ibrahim, Amir M.H.
Xue, Qingwu
Devkota, Ravindra N.
Baker, Jason A.
Baker, Shannon A.
Simoneaux, Bryan E.
Opena, Geraldine B.
Sutton, Russell
Jessup, Kirk E.
Hui, Kele
Wang, Shichen
Johnson, Charles D.
Metz, Richard P.
Liu, Shuyu
author_sort Dhakal, Smit
collection PubMed
description Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F(5:7)recombinant 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.
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spelling pubmed-86271232021-12-09 Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments Dhakal, Smit Liu, Xiaoxiao Chu, Chenggen Yang, Yan Rudd, Jackie C. Ibrahim, Amir M.H. Xue, Qingwu Devkota, Ravindra N. Baker, Jason A. Baker, Shannon A. Simoneaux, Bryan E. Opena, Geraldine B. Sutton, Russell Jessup, Kirk E. Hui, Kele Wang, Shichen Johnson, Charles D. Metz, Richard P. Liu, Shuyu PeerJ Agricultural Science Quantitative trait loci (QTL) analysis could help to identify suitable molecular markers for marker-assisted breeding (MAB). A mapping population of 124 F(5:7)recombinant 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. PeerJ Inc. 2021-11-24 /pmc/articles/PMC8627123/ /pubmed/34900409 http://dx.doi.org/10.7717/peerj.12350 Text en ©2021 Dhakal et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Dhakal, Smit
Liu, Xiaoxiao
Chu, Chenggen
Yang, Yan
Rudd, Jackie C.
Ibrahim, Amir M.H.
Xue, Qingwu
Devkota, Ravindra N.
Baker, Jason A.
Baker, Shannon A.
Simoneaux, Bryan E.
Opena, Geraldine B.
Sutton, Russell
Jessup, Kirk E.
Hui, Kele
Wang, Shichen
Johnson, Charles D.
Metz, Richard P.
Liu, Shuyu
Genome-wide QTL mapping of yield and agronomic traits in two widely adapted winter wheat cultivars from multiple mega-environments
title 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_short 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
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8627123/
https://www.ncbi.nlm.nih.gov/pubmed/34900409
http://dx.doi.org/10.7717/peerj.12350
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