Quantification of the diversity among common bean accessions using Ward-MLM strategy

Pesquisa Agropecuária Brasileira

Pablo Diego Silva Cabral²  Taís Cristina Bastos Soares¹  Leandro Simões Azeredo Gonçalves²  Antonio Teixeira Do Amaral Júnior²  Andreia Barcelos Passos Lima¹  Rosana Rodrigues²  Frederico De Pina Matta¹ 

[1] ,Universidade Estadual do Norte Fluminense Darcy RibeiroCampos dos Goytacazes RJ ,Brazil

关键词: Phaseolus vulgaris;    genetic diversity;    germplasm characterization;    joint analysis;    molecular markers;    morphological markers;    Phaseolus vulgaris;    diversidade genética;    caracterização de germoplasma;    análise conjunta;    marcadores moleculares;    marcadores morfológicos;   

DOI  :  10.1590/S0100-204X2010001000011

来源: SciELO

【 摘 要 】

The present work aimed at evaluating the divergence among common bean accessions by their agronomic, morphological and molecular traits, based on the Ward-MLM procedure. A collection of 57 accessions from the gene bank of Universidade Federal do Espírito Santo was used in this study, from which: 31 were landraces belonging to the community Fortaleza, in the municipality of Muqui, ES, Brazil; 20 accessions were provided by Embrapa Trigo; and 6 were commercial cultivars. Five agronomic traits (plant cycle, number of seeds per pod, number of pods per plant, weight of 100 seeds, and grain yield), five morphological traits (growth habit, plant size, seed shape, seed color, and commercial group) and 16 microsatellite primers were evaluated. High genetic variability was detected considering morphological, agronomic and molecular traits in the 57 common bean accessions studied. The Ward-MLM procedure showed that the ideal number of groups was five, according to the pseudo F and pseudo t² criteria. The accessions from Andean origin had heavier seeds than others and formed a cluster. The Ward-MLM statistical procedure is a useful technique to detect genetic divergence and to cluster genotypes by simultaneously using morphological, agronomic and molecular data.

【 授权许可】

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