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a GEVES, domaine du Magneraud, BP 52, F-17700 Surgères, France
b GEVES, La Minière, F-78285 Guyancourt Cedex, France
vincent.lombard{at}geves.fr
At present, registration and protection of rapeseed (Brassica napus L.) cultivars relies on a small number of morphological traits. As the number of cultivars increases, the ability to distinguish them on the basis of these traits becomes more difficult. New descriptors like molecular markers are required to maintain the efficiency of registration testing. The objectives of this study were to (i) evaluate the discrimination power of 17 amplified fragment length polymorphism (AFLP) primer combinations tested on a collection of 83 spring and winter rapeseed cultivars, (ii) assess the structure of the genetic diversity revealed by AFLPs, and (iii) compare three genetic distance estimators (Jaccard, Sokal, and Michener and Sokal and Michener weighted by the PIC). A total of 324 polymorphic markers were scored, with an average of 19.1 markers per primer combination. The use of only two primer combinations was sufficient to identify uniquely all the cultivars. The analysis of the genetic structure of the diversity by cluster and principal component analyses and AMOVAs (analyses of molecular variance) clearly delineated three significant factors: the cultivar type (winter or spring), the country of origin (France or Germany), and the breeding company. The three measures of genetic distance were highly correlated (P < 0.001, r = 0.96–0.98) and led to similar groupings. AFLPs were shown to be a powerful method for identifying cultivars and analyzing the genetic structure of the diversity in rapeseed.
Abbreviations: AFLP, amplified fragment length polymorphism • AMOVA, analysis of molecular variance • DUS, distinctness uniformity stability • J, Jaccard's coefficient • MSM, modified Sokal and Michener's coefficient • PIC, polymorphic information content • PCA, principal components analysis • PCR, polymerase chain reaction • RAPD, random polymorphic DNA • RFLP, restriction fragment length polymorphism • SM, Sokal and Michener's coefficient • UPGMA, unweighted pair-group arithmetic average method
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