Genetic divergence between pepper accessions based on quantitative fruit traits


  • Ana Carolina Ribeiro de Oliveira Universidade Federal de Viçosa
  • Paulo Roberto Cecon Universidade Federal de Viçosa
  • Moysés Nascimento Universidade Federal de Viçosa
  • Fernando Luiz Finger Universidade Federal de Viçosa
  • Giselda Maria Pereira Universidade Federal de Pelotas
  • Guilherme Alves Puiatti Universidade Federal de Viçosa



The development of new Capsicum cultivars aiming to meet market requirements will depend, above all, on the genetic diversity of the study population. To quantify this genetic divergence, several multivariate techniques assessing quantitative traits have been employed. This study aimed to: i. estimate the genetic diversity among Capsicum chinense accessions from the Active Germplasm Bank of Plants of the Federal University of Viçosa (BGH-UFV); ii. indicate promising accessions for prospective studies of specific market niches; iii. evaluate the disposal of redundant traits. The experiment was conducted in a completely randomized design with four repli­cates, in which 11 C. chinense accessions were evaluated, based on 11 quantitative fruit traits. The data were subjected to cluster analysis by the UPGMA and Tocher methods, based on the quadratic Euclidean distance, to assess diversity. Afterwards, we used principal component analysis, Jolliffe’s method and procrustes analysis for the disposal of traits. The highest genetic dissimilarity was obtained between accessions 2 and 10. The pheno­typic correlation coefficients obtained were 0.75 (UPGMA) and 0.91 (Tocher), the latter being significant by the Mantel test (p < 0.05). Six clusters were formed by using the Tocher method, four of which were composed by a single accession. Regarding the disposal of variables, traits TFDW, TFFW, PUN, %DM, FW, PT, and FL were shown to be disposable, and do not affect diversity prediction in terms of graphic dispersion. Accessions 9, 10, and 11 are indicated for in natura consumption, while accessions 2 and 3 are indicated for industrial purposes. These accessions showed the best results among the evaluated traits for the mentioned niches.

Biografia do Autor

Ana Carolina Ribeiro de Oliveira, Universidade Federal de Viçosa

Departamento de Estatística

Paulo Roberto Cecon, Universidade Federal de Viçosa

Departamento de Estatística

Moysés Nascimento, Universidade Federal de Viçosa

Departamento de Estatística

Fernando Luiz Finger, Universidade Federal de Viçosa

Departamento de Fitotecnia

Giselda Maria Pereira, Universidade Federal de Pelotas

Departamento de Matemática e Estatística

Guilherme Alves Puiatti, Universidade Federal de Viçosa

Departamento de Estatística





Melhoramento Genético Vegetal - Plant Breeding