Treffer: Genetic distance estimators based on molecular data for plant registration and protection: A review
GEVES, La Minière, 78285 Guyancourt, France
INRA, Ferme du Moulon, Station de Génétique Végétale, 91190 Gif sur Yvette, France
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Molecular and cell biology
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As the number of varieties continuously increases, the discrimination among cultivars based on morphological traits becomes more and more difficult to achieve in the context of plant registration. Molecular markers can be used as a complementary tool and a convenient way to combine the information from a large number of markers is to use estimators of distance. The aim of this paper was to review suitable estimators for computing genetic distances between cultivars in the context of the plant registration and protection. The estimators were classified according to the varietal structure of the cultivars (homogeneous vs. heterogeneous varieties) and the type of molecular data (allelic vs. banding data). Their statistical properties such as their sampling variance and their distribution were presented. The basis of potential statistical tests to deal with distinctness and essential derivation were discussed. Finally, a software package developed to estimate pairwise distances among cultivars from a collection and to analyse genetic diversity was described.