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QTL for spike-layer uniformity and their influence on yield-related traits in wheat
BACKGROUND: Common wheat (Triticum aestivum L.) is one of the most important food crops worldwide. Wheat spike-layer uniformity related traits (SLURTs) were complex traits that directly affect yield potential and appearance. In this study, quantitative trait locus (QTL) for five SLURTs among inter-t...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396499/ https://www.ncbi.nlm.nih.gov/pubmed/30819111 http://dx.doi.org/10.1186/s12863-019-0730-3 |
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author | Zhao, Chunhua Zhang, Na Wu, Yongzhen Sun, Han Liu, Cheng Fan, Xiaoli Yan, Xuemei Xu, Hongxing Ji, Jun Cui, Fa |
author_facet | Zhao, Chunhua Zhang, Na Wu, Yongzhen Sun, Han Liu, Cheng Fan, Xiaoli Yan, Xuemei Xu, Hongxing Ji, Jun Cui, Fa |
author_sort | Zhao, Chunhua |
collection | PubMed |
description | BACKGROUND: Common wheat (Triticum aestivum L.) is one of the most important food crops worldwide. Wheat spike-layer uniformity related traits (SLURTs) were complex traits that directly affect yield potential and appearance. In this study, quantitative trait locus (QTL) for five SLURTs among inter-tillers were first documented using a recombinant inbred line (RIL) mapping population derived from a cross between Kenong9204 and Jing411 (represented by KJ-RILs). Genetic relationships between SLURTs and yield were characterized in detail. RESULTS: The trait phenotypic performances for the 188 KJ-RILs and their parents were evaluated in eight different environments. The genetic data included in a high-density genetic map derived from the Affymetrix 660 K SNP Array and the corresponding genotypes in each lines. Of 99 putative additive QTL 11 were stable across environments and 57 showed significant additive-by-environment interaction effects. These QTL individually explained 1.05–39.62% of the phenotypic variance, with log of odds (LOD) values ranging from 2.00 to 34.01. Genetic relationships between SLURTs and yield indicated that plants with slight uneven spike spatial distribution should be an ideotype for super high-yield in wheat. CONCLUSIONS: The present study will provide assistance in understanding the genetic relationships between SLURTs and yield potential. The 11 stable QTL for SLURTs identified herein may facilitate breeding new wheat varieties with scientifically reasonable spike-layer distribution by marker assisted selection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0730-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6396499 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63964992019-03-13 QTL for spike-layer uniformity and their influence on yield-related traits in wheat Zhao, Chunhua Zhang, Na Wu, Yongzhen Sun, Han Liu, Cheng Fan, Xiaoli Yan, Xuemei Xu, Hongxing Ji, Jun Cui, Fa BMC Genet Research Article BACKGROUND: Common wheat (Triticum aestivum L.) is one of the most important food crops worldwide. Wheat spike-layer uniformity related traits (SLURTs) were complex traits that directly affect yield potential and appearance. In this study, quantitative trait locus (QTL) for five SLURTs among inter-tillers were first documented using a recombinant inbred line (RIL) mapping population derived from a cross between Kenong9204 and Jing411 (represented by KJ-RILs). Genetic relationships between SLURTs and yield were characterized in detail. RESULTS: The trait phenotypic performances for the 188 KJ-RILs and their parents were evaluated in eight different environments. The genetic data included in a high-density genetic map derived from the Affymetrix 660 K SNP Array and the corresponding genotypes in each lines. Of 99 putative additive QTL 11 were stable across environments and 57 showed significant additive-by-environment interaction effects. These QTL individually explained 1.05–39.62% of the phenotypic variance, with log of odds (LOD) values ranging from 2.00 to 34.01. Genetic relationships between SLURTs and yield indicated that plants with slight uneven spike spatial distribution should be an ideotype for super high-yield in wheat. CONCLUSIONS: The present study will provide assistance in understanding the genetic relationships between SLURTs and yield potential. The 11 stable QTL for SLURTs identified herein may facilitate breeding new wheat varieties with scientifically reasonable spike-layer distribution by marker assisted selection. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12863-019-0730-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-28 /pmc/articles/PMC6396499/ /pubmed/30819111 http://dx.doi.org/10.1186/s12863-019-0730-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Zhao, Chunhua Zhang, Na Wu, Yongzhen Sun, Han Liu, Cheng Fan, Xiaoli Yan, Xuemei Xu, Hongxing Ji, Jun Cui, Fa QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title | QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title_full | QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title_fullStr | QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title_full_unstemmed | QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title_short | QTL for spike-layer uniformity and their influence on yield-related traits in wheat |
title_sort | qtl for spike-layer uniformity and their influence on yield-related traits in wheat |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396499/ https://www.ncbi.nlm.nih.gov/pubmed/30819111 http://dx.doi.org/10.1186/s12863-019-0730-3 |
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