Integrated multivariate analysis to identify superior cowpea genotypes

Authors

  • Adriano Dos Santos Universidade Estadual do Norte Fluminense Darcy Ribeiro
  • Gessí Ceccon Embrapa CPAO
  • Livia Maria Chamma Davide UNIVERSIDADE FEDERAL DA GRANDE DOURADOS - UFGD
  • Antonio Luiz Neto Neto UNIVERSIDADE FEDERAL DA GRANDE DOURADOS - UFGD
  • Juslei Figueiredo da Silva UNIVERSIDADE FEDERAL DA GRANDE DOURADOS - UFGD
  • Rita de Cássia Félix Alvares UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL - UFMS

DOI:

https://doi.org/10.14295/cs.v7i2.643

Keywords:

Dissimilarity, selection, Vigna unguiculata

Abstract

Genetic divergence among 40 cowpea genotypes was quantified by means of integrated multivariate analysis aiming to assist the selection and development of new cultivars. The experiment was carried out in randomized blocks design with 40 treatments and 4 repetitions. The multivariate techniques applied were partially concordant, following the same trend for clustering of genotypes. Directed crosses between the genotypes belonging to group I with group IV and VI will be able to lead to the creation of segregating families with high yield potential and an increase in probability of recovering individuals. The variables of hundred grain weight, average pod length and number of seeds per pod are the main determinants in quantification of the genetic divergence among cultivars.

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Published

2016-11-04

How to Cite

Dos Santos, A., Ceccon, G., Davide, L. M. C., Luiz Neto Neto, A., Silva, J. F. da, & Alvares, R. de C. F. (2016). Integrated multivariate analysis to identify superior cowpea genotypes. Comunicata Scientiae, 7(2), 223–231. https://doi.org/10.14295/cs.v7i2.643

Issue

Vol. 7 No. 2 (2016)

Section

Original Article

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