Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat
Wheat (<i>Triticum aestivum</i> L.) is one of the important grain crops that fulfill global food security requirements. Understanding the genetic basis of wheat yield and related traits is crucial for increasing yield through marker-assisted selection (MAS). In this study, a phenotypic a...
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MDPI AG
2023-11-01
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author | Yousheng Tian Pengpeng Liu Fengjuan Cui Hongjun Xu Xinnian Han Yingbin Nie Dezhen Kong Wei Sang Weihua Li |
author_facet | Yousheng Tian Pengpeng Liu Fengjuan Cui Hongjun Xu Xinnian Han Yingbin Nie Dezhen Kong Wei Sang Weihua Li |
author_sort | Yousheng Tian |
collection | DOAJ |
description | Wheat (<i>Triticum aestivum</i> L.) is one of the important grain crops that fulfill global food security requirements. Understanding the genetic basis of wheat yield and related traits is crucial for increasing yield through marker-assisted selection (MAS). In this study, a phenotypic analysis was conducted on the yield and related traits of 192 Chinese spring wheat genotypes in six field environments. Based on the 90K wheat SNP iSelect assay, a genome-wide association study (GWAS) identified 84 stable and significantly associated signals at 50 loci for 8 out of the 10 analyzed traits. These traits included grain yield (1), plant height (6), spike length (21), productive spikelet rate (12), kernel number per spikelet (1), kernel number per main spike (2), thousand kernel weight (5), and test weight (2). Seventy-one stable SNP markers were mapped to annotated genes, with 51 of them located in the coding sequences (CDSs) of 47 explanatory genes. Haplotype analysis revealed three blocks on chromosome 5A and two blocks on chromosome 5D associated with plant height (PH). Varieties with different haplotypes at these loci displayed a significant difference in plant height. The performance of traits was improved by increasing the number of superior alleles for productive spikelet rate and spike length. These results provided prospective alleles for controlling yield and yield composition in wheat breeding. These alleles could be used for marker-assisted selection to improve wheat yield. |
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language | English |
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spelling | doaj.art-f4ef86bba2e44cae901282439de8a4812023-11-24T14:23:59ZengMDPI AGAgronomy2073-43952023-11-011311278410.3390/agronomy13112784Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring WheatYousheng Tian0Pengpeng Liu1Fengjuan Cui2Hongjun Xu3Xinnian Han4Yingbin Nie5Dezhen Kong6Wei Sang7Weihua Li8Department of Administrative Management, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaInstitute of Crop Science, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi 832000, ChinaThe Key Laboratory of the Oasis Ecological Agriculture, College of Agriculture, Shihezi University, Shihezi 832003, ChinaWheat (<i>Triticum aestivum</i> L.) is one of the important grain crops that fulfill global food security requirements. Understanding the genetic basis of wheat yield and related traits is crucial for increasing yield through marker-assisted selection (MAS). In this study, a phenotypic analysis was conducted on the yield and related traits of 192 Chinese spring wheat genotypes in six field environments. Based on the 90K wheat SNP iSelect assay, a genome-wide association study (GWAS) identified 84 stable and significantly associated signals at 50 loci for 8 out of the 10 analyzed traits. These traits included grain yield (1), plant height (6), spike length (21), productive spikelet rate (12), kernel number per spikelet (1), kernel number per main spike (2), thousand kernel weight (5), and test weight (2). Seventy-one stable SNP markers were mapped to annotated genes, with 51 of them located in the coding sequences (CDSs) of 47 explanatory genes. Haplotype analysis revealed three blocks on chromosome 5A and two blocks on chromosome 5D associated with plant height (PH). Varieties with different haplotypes at these loci displayed a significant difference in plant height. The performance of traits was improved by increasing the number of superior alleles for productive spikelet rate and spike length. These results provided prospective alleles for controlling yield and yield composition in wheat breeding. These alleles could be used for marker-assisted selection to improve wheat yield.https://www.mdpi.com/2073-4395/13/11/2784GWAShaplotype analysiswheatyieldyield components |
spellingShingle | Yousheng Tian Pengpeng Liu Fengjuan Cui Hongjun Xu Xinnian Han Yingbin Nie Dezhen Kong Wei Sang Weihua Li Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat Agronomy GWAS haplotype analysis wheat yield yield components |
title | Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat |
title_full | Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat |
title_fullStr | Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat |
title_full_unstemmed | Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat |
title_short | Genome-Wide Association Study for Yield and Yield-Related Traits in Chinese Spring Wheat |
title_sort | genome wide association study for yield and yield related traits in chinese spring wheat |
topic | GWAS haplotype analysis wheat yield yield components |
url | https://www.mdpi.com/2073-4395/13/11/2784 |
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