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Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis

China is one of the largest cotton producing countries in the world thanks to high yields, on which a variety registration system has mainly focused, so that a lack of quality is nowadays acknowledged as a weak point of the cotton industry in that country. The objective of this study was to check th...

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Autores principales: Xu, Naiyin, Fok, Michel, Li, Jian, Yang, Xiaoni, Yan, Weikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722828/
https://www.ncbi.nlm.nih.gov/pubmed/29222523
http://dx.doi.org/10.1038/s41598-017-17631-4
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author Xu, Naiyin
Fok, Michel
Li, Jian
Yang, Xiaoni
Yan, Weikai
author_facet Xu, Naiyin
Fok, Michel
Li, Jian
Yang, Xiaoni
Yan, Weikai
author_sort Xu, Naiyin
collection PubMed
description China is one of the largest cotton producing countries in the world thanks to high yields, on which a variety registration system has mainly focused, so that a lack of quality is nowadays acknowledged as a weak point of the cotton industry in that country. The objective of this study was to check the hypothesis that bias in cultivar selection in favor of yield has been maintained through the application of an imperfect selection index (SI), but that a better outcome is possible. Our demonstration is based on an analysis of the data from ten years of cotton variety trials using genotype-by-trait biplots, implemented both for the cultivar selection index (SI) currently applied in China and for an adjusted selection index (ASI) that more effectively took into account the antagonism between yield and quality traits. The main findings were: 1) significant negative associations between yield and fiber quality hindered their simultaneous improvement; 2) registered genotypes were mainly determined by the SI which was primarily yield-oriented; 3) no progress in fiber quality was recorded unlike yield; 4) balanced progress in yield and quality is possible through an adjusted selection index (ASI) guided by genotype-by-trait biplot analysis.
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spelling pubmed-57228282017-12-12 Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis Xu, Naiyin Fok, Michel Li, Jian Yang, Xiaoni Yan, Weikai Sci Rep Article China is one of the largest cotton producing countries in the world thanks to high yields, on which a variety registration system has mainly focused, so that a lack of quality is nowadays acknowledged as a weak point of the cotton industry in that country. The objective of this study was to check the hypothesis that bias in cultivar selection in favor of yield has been maintained through the application of an imperfect selection index (SI), but that a better outcome is possible. Our demonstration is based on an analysis of the data from ten years of cotton variety trials using genotype-by-trait biplots, implemented both for the cultivar selection index (SI) currently applied in China and for an adjusted selection index (ASI) that more effectively took into account the antagonism between yield and quality traits. The main findings were: 1) significant negative associations between yield and fiber quality hindered their simultaneous improvement; 2) registered genotypes were mainly determined by the SI which was primarily yield-oriented; 3) no progress in fiber quality was recorded unlike yield; 4) balanced progress in yield and quality is possible through an adjusted selection index (ASI) guided by genotype-by-trait biplot analysis. Nature Publishing Group UK 2017-12-08 /pmc/articles/PMC5722828/ /pubmed/29222523 http://dx.doi.org/10.1038/s41598-017-17631-4 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Xu, Naiyin
Fok, Michel
Li, Jian
Yang, Xiaoni
Yan, Weikai
Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title_full Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title_fullStr Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title_full_unstemmed Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title_short Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
title_sort optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722828/
https://www.ncbi.nlm.nih.gov/pubmed/29222523
http://dx.doi.org/10.1038/s41598-017-17631-4
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