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QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments

In bread wheat, QTL interval mapping was conducted for nine important drought responsive agronomic traits. For this purpose, a doubled haploid (DH) mapping population derived from Kukri/Excalibur was grown over three years at four separate locations in India, both under irrigated and rain-fed enviro...

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Autores principales: Gahlaut, Vijay, Jaiswal, Vandana, Tyagi, Bhudeva S., Singh, Gyanendra, Sareen, Sindhu, Balyan, Harindra S., Gupta, Pushpendra Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550002/
https://www.ncbi.nlm.nih.gov/pubmed/28793327
http://dx.doi.org/10.1371/journal.pone.0182857
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author Gahlaut, Vijay
Jaiswal, Vandana
Tyagi, Bhudeva S.
Singh, Gyanendra
Sareen, Sindhu
Balyan, Harindra S.
Gupta, Pushpendra Kumar
author_facet Gahlaut, Vijay
Jaiswal, Vandana
Tyagi, Bhudeva S.
Singh, Gyanendra
Sareen, Sindhu
Balyan, Harindra S.
Gupta, Pushpendra Kumar
author_sort Gahlaut, Vijay
collection PubMed
description In bread wheat, QTL interval mapping was conducted for nine important drought responsive agronomic traits. For this purpose, a doubled haploid (DH) mapping population derived from Kukri/Excalibur was grown over three years at four separate locations in India, both under irrigated and rain-fed environments. Single locus analysis using composite interval mapping (CIM) allowed detection of 98 QTL, which included 66 QTL for nine individual agronomic traits and 32 QTL, which affected drought sensitivity index (DSI) for the same nine traits. Two-locus analysis allowed detection of 19 main effect QTL (M-QTL) for four traits (days to anthesis, days to maturity, grain filling duration and thousand grain weight) and 19 pairs of epistatic QTL (E-QTL) for two traits (days to anthesis and thousand grain weight). Eight QTL were common in single locus analysis and two locus analysis. These QTL (identified both in single- and two-locus analysis) were distributed on 20 different chromosomes (except 4D). Important genomic regions on chromosomes 5A and 7A were also identified (5A carried QTL for seven traits and 7A carried QTL for six traits). Marker-assisted recurrent selection (MARS) involving pyramiding of important QTL reported in the present study, together with important QTL reported earlier, may be used for improvement of drought tolerance in wheat. In future, more closely linked markers for the QTL reported here may be developed through fine mapping, and the candidate genes may be identified and used for developing a better understanding of the genetic basis of drought tolerance in wheat.
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spelling pubmed-55500022017-08-15 QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments Gahlaut, Vijay Jaiswal, Vandana Tyagi, Bhudeva S. Singh, Gyanendra Sareen, Sindhu Balyan, Harindra S. Gupta, Pushpendra Kumar PLoS One Research Article In bread wheat, QTL interval mapping was conducted for nine important drought responsive agronomic traits. For this purpose, a doubled haploid (DH) mapping population derived from Kukri/Excalibur was grown over three years at four separate locations in India, both under irrigated and rain-fed environments. Single locus analysis using composite interval mapping (CIM) allowed detection of 98 QTL, which included 66 QTL for nine individual agronomic traits and 32 QTL, which affected drought sensitivity index (DSI) for the same nine traits. Two-locus analysis allowed detection of 19 main effect QTL (M-QTL) for four traits (days to anthesis, days to maturity, grain filling duration and thousand grain weight) and 19 pairs of epistatic QTL (E-QTL) for two traits (days to anthesis and thousand grain weight). Eight QTL were common in single locus analysis and two locus analysis. These QTL (identified both in single- and two-locus analysis) were distributed on 20 different chromosomes (except 4D). Important genomic regions on chromosomes 5A and 7A were also identified (5A carried QTL for seven traits and 7A carried QTL for six traits). Marker-assisted recurrent selection (MARS) involving pyramiding of important QTL reported in the present study, together with important QTL reported earlier, may be used for improvement of drought tolerance in wheat. In future, more closely linked markers for the QTL reported here may be developed through fine mapping, and the candidate genes may be identified and used for developing a better understanding of the genetic basis of drought tolerance in wheat. Public Library of Science 2017-08-09 /pmc/articles/PMC5550002/ /pubmed/28793327 http://dx.doi.org/10.1371/journal.pone.0182857 Text en © 2017 Gahlaut et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gahlaut, Vijay
Jaiswal, Vandana
Tyagi, Bhudeva S.
Singh, Gyanendra
Sareen, Sindhu
Balyan, Harindra S.
Gupta, Pushpendra Kumar
QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title_full QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title_fullStr QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title_full_unstemmed QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title_short QTL mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
title_sort qtl mapping for nine drought-responsive agronomic traits in bread wheat under irrigated and rain-fed environments
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5550002/
https://www.ncbi.nlm.nih.gov/pubmed/28793327
http://dx.doi.org/10.1371/journal.pone.0182857
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