Selection criteria for high-yielding and early-flowering bread wheat hybrids under heat stress
Hybrid performance during wheat breeding can be improved by analyzing genetic distance (GD) among wheat genotypes and determining its correlation with heterosis. This study evaluated the GD between 16 wheat genotypes by using 60 simple sequence repeat (SSR) markers to classify them according to thei...
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| description | Hybrid performance during wheat breeding can be improved by analyzing genetic distance (GD) among wheat genotypes and determining its correlation with heterosis. This study evaluated the GD between 16 wheat genotypes by using 60 simple sequence repeat (SSR) markers to classify them according to their relationships and select those with greater genetic diversity, evaluate the correlation of the SSR marker distance with heterotic performance and specific combining ability (SCA) for heat stress tolerance, and identify traits that most influence grain yield (GY). Eight parental genotypes with greater genetic diversity and their 28 F.sub.1 hybrids generated using diallel crossing were evaluated for 12 measured traits in two seasons. The GD varied from 0.235 to 0.911 across the 16 genotypes. Cluster analysis based on the GD estimated using SSRs classified the genotypes into three major groups and six sub-groups, almost consistent with the results of principal coordinate analysis. The combined data indicated that five hybrids showed 20% greater yield than mid-parent or better-parent. Two hybrids (P2 x P4) and (P2 x P5), which showed the highest performance of days to heading (DH), grain filling duration (GFD), and GY, and had large genetic diversity among themselves (0.883 and 0.911, respectively), were deemed as promising heat-tolerant hybrids. They showed the best mid-parent heterosis and better-parent heterosis (BPH) for DH (-11.57 and -7.65%; -13.39 and -8.36%, respectively), GFD (12.74 and 12.17%; 12.09 and 10.59%, respectively), and GY (36.04 and 20.04%; 44.06 and 37.73%, respectively). Correlation between GD and each of BPH and SCA effects based on SSR markers was significantly positive for GFD, hundred kernel weight, number of kernels per spike, harvest index, GY, and grain filling rate and was significantly negative for DH. These correlations indicate that the performance of wheat hybrids with high GY and earliness could be predicted by determining the GD of the parents by using SSR markers. Multivariate analysis (stepwise regression and path coefficient) suggested that GFD, hundred kernel weight, days to maturity, and number of kernels per spike had the highest influence on GY. |
| doi_str_mv | 10.1371/journal.pone.0236351 |
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This study evaluated the GD between 16 wheat genotypes by using 60 simple sequence repeat (SSR) markers to classify them according to their relationships and select those with greater genetic diversity, evaluate the correlation of the SSR marker distance with heterotic performance and specific combining ability (SCA) for heat stress tolerance, and identify traits that most influence grain yield (GY). Eight parental genotypes with greater genetic diversity and their 28 F.sub.1 hybrids generated using diallel crossing were evaluated for 12 measured traits in two seasons. The GD varied from 0.235 to 0.911 across the 16 genotypes. Cluster analysis based on the GD estimated using SSRs classified the genotypes into three major groups and six sub-groups, almost consistent with the results of principal coordinate analysis. The combined data indicated that five hybrids showed 20% greater yield than mid-parent or better-parent. Two hybrids (P2 x P4) and (P2 x P5), which showed the highest performance of days to heading (DH), grain filling duration (GFD), and GY, and had large genetic diversity among themselves (0.883 and 0.911, respectively), were deemed as promising heat-tolerant hybrids. They showed the best mid-parent heterosis and better-parent heterosis (BPH) for DH (-11.57 and -7.65%; -13.39 and -8.36%, respectively), GFD (12.74 and 12.17%; 12.09 and 10.59%, respectively), and GY (36.04 and 20.04%; 44.06 and 37.73%, respectively). Correlation between GD and each of BPH and SCA effects based on SSR markers was significantly positive for GFD, hundred kernel weight, number of kernels per spike, harvest index, GY, and grain filling rate and was significantly negative for DH. These correlations indicate that the performance of wheat hybrids with high GY and earliness could be predicted by determining the GD of the parents by using SSR markers. Multivariate analysis (stepwise regression and path coefficient) suggested that GFD, hundred kernel weight, days to maturity, and number of kernels per spike had the highest influence on GY.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0236351</identifier><identifier>PMID: 32785293</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Agricultural production ; Agriculture ; Biology and Life Sciences ; Breeding ; Climate change ; Cluster analysis ; Combining ability ; Correlation ; Correlation analysis ; Crop yield ; Deoxyribonucleic acid ; DNA ; Earth Sciences ; Ecology and Environmental Sciences ; Flowering ; Food ; Genetic aspects ; Genetic distance ; Genetic diversity ; Genomes ; Genotype & phenotype ; Genotypes ; Germplasm ; Grain ; Heat ; Heat stress ; Heat tolerance ; Heterosis ; High temperature ; Hybrid plants ; Hybridization ; Hybrids ; Kernels ; Markers ; Medicine and Health Sciences ; Methods ; Multivariate analysis ; Phylogenetics ; Physiological aspects ; Plant breeding ; Plant heat tolerance ; Population ; Production processes ; Productivity ; Regression analysis ; Spikes ; Weight ; Wheat</subject><ispartof>PloS one, 2020-08, Vol.15 (8), p.e0236351-e0236351</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Al-Ashkar et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Al-Ashkar et al 2020 Al-Ashkar et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c669t-958d55042ade703ab40c87a9ba49e880df9540d8d94f569217dc809d7ffaf2073</citedby><cites>FETCH-LOGICAL-c669t-958d55042ade703ab40c87a9ba49e880df9540d8d94f569217dc809d7ffaf2073</cites><orcidid>0000-0001-5022-1555</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423122/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7423122/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids></links><search><contributor>Kumar, Ajay</contributor><creatorcontrib>Al-Ashkar, Ibrahim</creatorcontrib><creatorcontrib>Alotaibi, Majed</creatorcontrib><creatorcontrib>Refay, Yahya</creatorcontrib><creatorcontrib>Ghazy, Abdelhalim</creatorcontrib><creatorcontrib>Zakri, Adel</creatorcontrib><creatorcontrib>Al-Doss, Abdullah</creatorcontrib><title>Selection criteria for high-yielding and early-flowering bread wheat hybrids under heat stress</title><title>PloS one</title><description>Hybrid performance during wheat breeding can be improved by analyzing genetic distance (GD) among wheat genotypes and determining its correlation with heterosis. This study evaluated the GD between 16 wheat genotypes by using 60 simple sequence repeat (SSR) markers to classify them according to their relationships and select those with greater genetic diversity, evaluate the correlation of the SSR marker distance with heterotic performance and specific combining ability (SCA) for heat stress tolerance, and identify traits that most influence grain yield (GY). Eight parental genotypes with greater genetic diversity and their 28 F.sub.1 hybrids generated using diallel crossing were evaluated for 12 measured traits in two seasons. The GD varied from 0.235 to 0.911 across the 16 genotypes. Cluster analysis based on the GD estimated using SSRs classified the genotypes into three major groups and six sub-groups, almost consistent with the results of principal coordinate analysis. The combined data indicated that five hybrids showed 20% greater yield than mid-parent or better-parent. Two hybrids (P2 x P4) and (P2 x P5), which showed the highest performance of days to heading (DH), grain filling duration (GFD), and GY, and had large genetic diversity among themselves (0.883 and 0.911, respectively), were deemed as promising heat-tolerant hybrids. They showed the best mid-parent heterosis and better-parent heterosis (BPH) for DH (-11.57 and -7.65%; -13.39 and -8.36%, respectively), GFD (12.74 and 12.17%; 12.09 and 10.59%, respectively), and GY (36.04 and 20.04%; 44.06 and 37.73%, respectively). Correlation between GD and each of BPH and SCA effects based on SSR markers was significantly positive for GFD, hundred kernel weight, number of kernels per spike, harvest index, GY, and grain filling rate and was significantly negative for DH. These correlations indicate that the performance of wheat hybrids with high GY and earliness could be predicted by determining the GD of the parents by using SSR markers. Multivariate analysis (stepwise regression and path coefficient) suggested that GFD, hundred kernel weight, days to maturity, and number of kernels per spike had the highest influence on GY.</description><subject>Agricultural production</subject><subject>Agriculture</subject><subject>Biology and Life Sciences</subject><subject>Breeding</subject><subject>Climate change</subject><subject>Cluster analysis</subject><subject>Combining ability</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Crop yield</subject><subject>Deoxyribonucleic acid</subject><subject>DNA</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Flowering</subject><subject>Food</subject><subject>Genetic aspects</subject><subject>Genetic distance</subject><subject>Genetic diversity</subject><subject>Genomes</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Germplasm</subject><subject>Grain</subject><subject>Heat</subject><subject>Heat stress</subject><subject>Heat tolerance</subject><subject>Heterosis</subject><subject>High temperature</subject><subject>Hybrid plants</subject><subject>Hybridization</subject><subject>Hybrids</subject><subject>Kernels</subject><subject>Markers</subject><subject>Medicine and Health Sciences</subject><subject>Methods</subject><subject>Multivariate analysis</subject><subject>Phylogenetics</subject><subject>Physiological aspects</subject><subject>Plant breeding</subject><subject>Plant heat tolerance</subject><subject>Population</subject><subject>Production processes</subject><subject>Productivity</subject><subject>Regression analysis</subject><subject>Spikes</subject><subject>Weight</subject><subject>Wheat</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6DwQLguhFxzRJ2-RGWBY_BhYWXPXSkCYnnQyZZkxa1_n3pjtVtrIXkouEN895T3I4J8uel2hVkqZ8u_Vj6KVb7X0PK4RJTaryQXZacoKLGiPy8M75JHsS4xahirC6fpydENywCnNymn2_BgdqsL7PVbADBCtz40O-sd2mOFhw2vZdLnudgwzuUBjnbxKUtDaA1PnNBuSQbw5tsDrmY68hxU5SHALE-DR7ZKSL8Gzez7KvH95_ufhUXF59XF-cXxaqrvlQ8IrpqkIUSw0NIrKlSLFG8lZSDowhbXhFkWaaU1PVHJeNVgxx3RgjDUYNOcteHH33zkcxlyYKTAnBlCJOE7E-EtrLrdgHu5PhILy04lbwoRMyDFY5ENgwTgC1mJuWUo5aWpYEy6RQxZSskte7OdvY7kAr6Icg3cJ0edPbjej8T9FQTEqMk8Hr2SD4HyPEQexsVOCc7MGPt--mqEYMTe9--Q96_-9mqpPpA7Y3PuVVk6k4rwkmqK4QT9TqHiotDTurUh8Zm_RFwJtFQGIG-DV0coxRrK8__z979W3JvrrDpn5xwyZ6N059GJcgPYIq-BgDmL9FLpGYxuBPNcQ0BmIeA_IbVuv4SQ</recordid><startdate>20200812</startdate><enddate>20200812</enddate><creator>Al-Ashkar, 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criteria for high-yielding and early-flowering bread wheat hybrids under heat stress</title><author>Al-Ashkar, Ibrahim ; Alotaibi, Majed ; Refay, Yahya ; Ghazy, Abdelhalim ; Zakri, Adel ; Al-Doss, Abdullah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c669t-958d55042ade703ab40c87a9ba49e880df9540d8d94f569217dc809d7ffaf2073</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agricultural production</topic><topic>Agriculture</topic><topic>Biology and Life Sciences</topic><topic>Breeding</topic><topic>Climate change</topic><topic>Cluster analysis</topic><topic>Combining ability</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Crop yield</topic><topic>Deoxyribonucleic acid</topic><topic>DNA</topic><topic>Earth Sciences</topic><topic>Ecology and Environmental Sciences</topic><topic>Flowering</topic><topic>Food</topic><topic>Genetic aspects</topic><topic>Genetic distance</topic><topic>Genetic diversity</topic><topic>Genomes</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Germplasm</topic><topic>Grain</topic><topic>Heat</topic><topic>Heat stress</topic><topic>Heat tolerance</topic><topic>Heterosis</topic><topic>High temperature</topic><topic>Hybrid plants</topic><topic>Hybridization</topic><topic>Hybrids</topic><topic>Kernels</topic><topic>Markers</topic><topic>Medicine and Health Sciences</topic><topic>Methods</topic><topic>Multivariate analysis</topic><topic>Phylogenetics</topic><topic>Physiological aspects</topic><topic>Plant breeding</topic><topic>Plant heat tolerance</topic><topic>Population</topic><topic>Production processes</topic><topic>Productivity</topic><topic>Regression analysis</topic><topic>Spikes</topic><topic>Weight</topic><topic>Wheat</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al-Ashkar, 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Adel</au><au>Al-Doss, Abdullah</au><au>Kumar, Ajay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Selection criteria for high-yielding and early-flowering bread wheat hybrids under heat stress</atitle><jtitle>PloS one</jtitle><date>2020-08-12</date><risdate>2020</risdate><volume>15</volume><issue>8</issue><spage>e0236351</spage><epage>e0236351</epage><pages>e0236351-e0236351</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Hybrid performance during wheat breeding can be improved by analyzing genetic distance (GD) among wheat genotypes and determining its correlation with heterosis. This study evaluated the GD between 16 wheat genotypes by using 60 simple sequence repeat (SSR) markers to classify them according to their relationships and select those with greater genetic diversity, evaluate the correlation of the SSR marker distance with heterotic performance and specific combining ability (SCA) for heat stress tolerance, and identify traits that most influence grain yield (GY). Eight parental genotypes with greater genetic diversity and their 28 F.sub.1 hybrids generated using diallel crossing were evaluated for 12 measured traits in two seasons. The GD varied from 0.235 to 0.911 across the 16 genotypes. Cluster analysis based on the GD estimated using SSRs classified the genotypes into three major groups and six sub-groups, almost consistent with the results of principal coordinate analysis. The combined data indicated that five hybrids showed 20% greater yield than mid-parent or better-parent. Two hybrids (P2 x P4) and (P2 x P5), which showed the highest performance of days to heading (DH), grain filling duration (GFD), and GY, and had large genetic diversity among themselves (0.883 and 0.911, respectively), were deemed as promising heat-tolerant hybrids. They showed the best mid-parent heterosis and better-parent heterosis (BPH) for DH (-11.57 and -7.65%; -13.39 and -8.36%, respectively), GFD (12.74 and 12.17%; 12.09 and 10.59%, respectively), and GY (36.04 and 20.04%; 44.06 and 37.73%, respectively). Correlation between GD and each of BPH and SCA effects based on SSR markers was significantly positive for GFD, hundred kernel weight, number of kernels per spike, harvest index, GY, and grain filling rate and was significantly negative for DH. These correlations indicate that the performance of wheat hybrids with high GY and earliness could be predicted by determining the GD of the parents by using SSR markers. Multivariate analysis (stepwise regression and path coefficient) suggested that GFD, hundred kernel weight, days to maturity, and number of kernels per spike had the highest influence on GY.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><pmid>32785293</pmid><doi>10.1371/journal.pone.0236351</doi><tpages>e0236351</tpages><orcidid>https://orcid.org/0000-0001-5022-1555</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Agricultural production Agriculture Biology and Life Sciences Breeding Climate change Cluster analysis Combining ability Correlation Correlation analysis Crop yield Deoxyribonucleic acid DNA Earth Sciences Ecology and Environmental Sciences Flowering Food Genetic aspects Genetic distance Genetic diversity Genomes Genotype & phenotype Genotypes Germplasm Grain Heat Heat stress Heat tolerance Heterosis High temperature Hybrid plants Hybridization Hybrids Kernels Markers Medicine and Health Sciences Methods Multivariate analysis Phylogenetics Physiological aspects Plant breeding Plant heat tolerance Population Production processes Productivity Regression analysis Spikes Weight Wheat |
| title | Selection criteria for high-yielding and early-flowering bread wheat hybrids under heat stress |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T19%3A35%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Selection%20criteria%20for%20high-yielding%20and%20early-flowering%20bread%20wheat%20hybrids%20under%20heat%20stress&rft.jtitle=PloS%20one&rft.au=Al-Ashkar,%20Ibrahim&rft.date=2020-08-12&rft.volume=15&rft.issue=8&rft.spage=e0236351&rft.epage=e0236351&rft.pages=e0236351-e0236351&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0236351&rft_dat=%3Cgale_plos_%3EA632306509%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2433244094&rft_id=info:pmid/32785293&rft_galeid=A632306509&rft_doaj_id=oai_doaj_org_article_2f893e0b29fb4490b41132ae0b4c8ca5&rfr_iscdi=true |