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

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Article de revue scientifique de Naiyin Xu, Michel Fok, Jian Li, Xiaoni Yang & Weikai Yan - 2017

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  • Référence bibliographique
  • Année de publication
  • 2017
  • Auteur(s)
  • Naiyin Xu, Michel Fok, Jian Li, Xiaoni Yang & Weikai Yan
  • Titre du document
  • Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
  • Titre en anglais
  • Optimization of cotton variety registration criteria aided with a genotype-by-trait biplot analysis
  • Adresse email de l'auteur
  • michel.fok@cirad.fr
  • Adresse URL
  • https://www.ncbi.nlm.nih.gov/pubmed/29222523
  • Journal ou Magazine
  • Scientific Reports
  • Mois de création ou de publication
  • December
  • Numéro du journal ou du magazine
  • Dec 8;7(1):17237
  • Pays concerné(s)
  • Chine
  • Thésaurus associé(s)
  • TropicAgrif
  • Mots-clé(s) TropicAgrif
  • Génétique des plantes
    Sélection variétale
    Création variétale
    Dimension nationale
    Pluri locale
    Partenariat avec les utilisateurs
    Avec, recherche en milieu paysan sous gestion chercheur
  • Enregistré le
  • 2017-12-21
  • Modifié le
  • 2017-12-21
  • Administré par
  • Fok Michel
  • Résumé
  • 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 genotypeby-trait biplot analysis.
  • Résumé en anglais
  • 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 genotypeby-trait biplot analysis.