02392naa a2200241 a 450000100080000000500110000800800410001902200140006002400350007410000230010924501090013226000090024152017020025065000200195265000120197265000250198465000130200970000200202270000210204270000200206370000230208377300440210619898842023-05-25       2014    bl uuuu     u00u1 u    #d  a0040-57527 a10.1007/s00122-014-2309-82DOI1 aOLIVEIRA, E. J. de  aPotential of SNP markers for the characterization of Brazilian cassava germplasm.h[electronic resource]  c2014  aThe objective of the present work was to evaluate the diversity and genetic structure of the largest cassava germplasm bank in Brazil. Complementary methodological approaches such as discriminant analysis of principal components (DAPC), Bayesian analysis and molecular analysis of variance (AMOVA) were used to understand the structure and diversity of 1,280 accessions genotyped using 402 single nucleotide polymorphism markers. The genetic diversity (0.327) and the average observed heterozygosity (0.322) were high considering the bi-allelic markers. In terms of population, the presence of a complex genetic structure was observed indicating the formation of 30 clusters by DAPC and 34 clusters by Bayesian analysis. Both methodologies presented difficulties and controversies in terms of the allocation of some accessions to specific clusters. However, the clusters suggested by the DAPC analysis seemed to be more consistent for presenting higher probability of allocation of the accessions within the clusters. Prior information related to breeding patterns and geographic origins of the accessions were not sufficient for providing clear differentiation between the clusters according to the AMOVA analysis. In contrast, the FST was maximized when considering the clusters suggested by the Bayesian and DAPC analyses. The high frequency of germplasm exchange between producers and the subsequent alteration of the name of the same material may be one of the causes of the low association between genetic diversity and geographic origin. The results of this study may benefit cassava germplasm conservation programs, and contribute to the maximization of genetic gains in breeding programs.  aBayesian theory  aCassava  aBanco de germoplasma  aMandioca1 aFERREIRA, C. F.1 aSANTOS, V. da S.1 aJESUS, O. N. de1 aOLIVEIRA, G. A. F.  tTheoretical and Applied Geneticst, 2014