Association analysis for agronomic traits in wheat under terminal heat stress
Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assis...
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2021
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oai:doaj.org-article:a8f854dcd5764919b1ec2a8277a4eda22021-11-20T04:57:10ZAssociation analysis for agronomic traits in wheat under terminal heat stress1319-562X10.1016/j.sjbs.2021.08.050https://doaj.org/article/a8f854dcd5764919b1ec2a8277a4eda22021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1319562X21007397https://doaj.org/toc/1319-562XTerminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assisted selection (MAS) for crop improvement. It identifies the genomic regions associated with thermotolerant traits in wheat, but the scarcity of markers is the major hindrance in crop improvement. Therefore, 158 wheat genotypes were subjected to genotyping with 165 simple sequence repeat markers dispersed on three genomes (A, B and D). Allelic frequency and polymorphic information content values were highest on genome A (5.34 (14% greater than the lowest value at genome D) and 0.715 (3% greater than the lowest value at genome D)), chromosome 4 (5.40 (16% greater than the lowest value at chromosome 2) and 0.725 (5% greater than the lowest value at chromosome 6)) and marker xgwm44 (13.0 (84% greater than the lowest value at marker xbarc148) and 0.916 (46% greater than the lowest value at marker xbarc148)). Bayesian based population structure discriminated the wheat genotypes into seven groups based on genetic similarity indicating their ancestral origin and geographical ecotype. Linkage disequilibrium pattern had highest significant (P < 0.001) linked loci pairs 732 on genome A at r2 > 0.1 whereas, 58 on genome B at r2 > 0.5. Linkage disequilibrium decay (P < 0.01 and r2 > 0.1) had larger LD block (5–10 cM) on genome A. Highly significant MTAs (P < 0.000061) under heat stress conditions were identified for flag leaf area (xwmc336), spikelet per spike (xwmc553), grains per spike (cxfa2147, xwmc418 and xwmc121), biomass (xbarc7) and grain yield (xcfa2147 and xwmc671). The identified markers in this study could facilitate in MAS and gene pyramiding against heat stress in wheat.Adeel KhanMunir AhmadMukhtar AhmedKulvinder Singh GillZahid AkramElsevierarticleTerminal heat stressWheatMarker assisted selectionGene pyramidingBiology (General)QH301-705.5ENSaudi Journal of Biological Sciences, Vol 28, Iss 12, Pp 7404-7415 (2021) |
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Terminal heat stress Wheat Marker assisted selection Gene pyramiding Biology (General) QH301-705.5 |
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Terminal heat stress Wheat Marker assisted selection Gene pyramiding Biology (General) QH301-705.5 Adeel Khan Munir Ahmad Mukhtar Ahmed Kulvinder Singh Gill Zahid Akram Association analysis for agronomic traits in wheat under terminal heat stress |
description |
Terminal heat stress causes irreversible damage to wheat crop productivity. It reduces the vegetative growth and flowering period that consequently declines the efficiency to capture available stem reserves (carbohydrates) in grains. Markers associated with thermotolerant traits ease in marker assisted selection (MAS) for crop improvement. It identifies the genomic regions associated with thermotolerant traits in wheat, but the scarcity of markers is the major hindrance in crop improvement. Therefore, 158 wheat genotypes were subjected to genotyping with 165 simple sequence repeat markers dispersed on three genomes (A, B and D). Allelic frequency and polymorphic information content values were highest on genome A (5.34 (14% greater than the lowest value at genome D) and 0.715 (3% greater than the lowest value at genome D)), chromosome 4 (5.40 (16% greater than the lowest value at chromosome 2) and 0.725 (5% greater than the lowest value at chromosome 6)) and marker xgwm44 (13.0 (84% greater than the lowest value at marker xbarc148) and 0.916 (46% greater than the lowest value at marker xbarc148)). Bayesian based population structure discriminated the wheat genotypes into seven groups based on genetic similarity indicating their ancestral origin and geographical ecotype. Linkage disequilibrium pattern had highest significant (P < 0.001) linked loci pairs 732 on genome A at r2 > 0.1 whereas, 58 on genome B at r2 > 0.5. Linkage disequilibrium decay (P < 0.01 and r2 > 0.1) had larger LD block (5–10 cM) on genome A. Highly significant MTAs (P < 0.000061) under heat stress conditions were identified for flag leaf area (xwmc336), spikelet per spike (xwmc553), grains per spike (cxfa2147, xwmc418 and xwmc121), biomass (xbarc7) and grain yield (xcfa2147 and xwmc671). The identified markers in this study could facilitate in MAS and gene pyramiding against heat stress in wheat. |
format |
article |
author |
Adeel Khan Munir Ahmad Mukhtar Ahmed Kulvinder Singh Gill Zahid Akram |
author_facet |
Adeel Khan Munir Ahmad Mukhtar Ahmed Kulvinder Singh Gill Zahid Akram |
author_sort |
Adeel Khan |
title |
Association analysis for agronomic traits in wheat under terminal heat stress |
title_short |
Association analysis for agronomic traits in wheat under terminal heat stress |
title_full |
Association analysis for agronomic traits in wheat under terminal heat stress |
title_fullStr |
Association analysis for agronomic traits in wheat under terminal heat stress |
title_full_unstemmed |
Association analysis for agronomic traits in wheat under terminal heat stress |
title_sort |
association analysis for agronomic traits in wheat under terminal heat stress |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/a8f854dcd5764919b1ec2a8277a4eda2 |
work_keys_str_mv |
AT adeelkhan associationanalysisforagronomictraitsinwheatunderterminalheatstress AT munirahmad associationanalysisforagronomictraitsinwheatunderterminalheatstress AT mukhtarahmed associationanalysisforagronomictraitsinwheatunderterminalheatstress AT kulvindersinghgill associationanalysisforagronomictraitsinwheatunderterminalheatstress AT zahidakram associationanalysisforagronomictraitsinwheatunderterminalheatstress |
_version_ |
1718419732790509568 |