Genetic diversity among soursop genotypes based on fruit production

Authors

  • Carlos Felipe Barrera Sánchez Universidad Nacional de Colombia
  • Bruno Ermelindo Lopes Universidade Federal de Viçosa
  • Paulo Eduardo Teodoro Universidade Federal de Viçosa
  • Andrea Del Pilar Garcia Universidad Nacional de Colombia
  • Leonardo de Azevedo Peixoto Universidade Federal de Viçosa
  • Lidiane Aparecida Silva Universidade Federal de Viçosa
  • Leonardo Lopes Bhering Universidade Federal de Viçosa

DOI:

https://doi.org/10.14393/BJ-v34n1a2018-37421

Keywords:

Annona muricata, clustering, plant breeding, biometry.

Abstract

This study aimed to estimate the genetic diversity among soursop genotypes in terms of fruit yield evaluated in different crop years. Sixteen measurements for fruit yield in 71 soursop genotypes were carried out from 2000 to 2016. Based on ANOVA it was verified the existence of genetic variability among genotypes in the different measurements (harvests). The genotypes were clustered according to their respective fruit yield averages in the 16 years as well as from their means obtained in each measurement year by the Scott-Knott test (p<0.05). To study genetic diversity among genotypes, three methodologies were compared: Tocher hierarchical optimization, UPGMA method and principal components. Five groups were formed for all clustering methods used. It was identified that crossings between genotypes 124 and 145 with genotypes 59 and 170 are potential to generate population with large genetic variability and high fruit yield average. New researches should be developed aiming to exploit the genetic variability among soursop genotypes based on the results found in this study.

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Published

2017-12-20

How to Cite

SÁNCHEZ, C.F.B., LOPES, B.E., TEODORO, P.E., GARCIA, A.D.P., PEIXOTO, L. de A., SILVA, L.A. and BHERING, L.L., 2017. Genetic diversity among soursop genotypes based on fruit production . Bioscience Journal [online], vol. 34, no. 1, pp. 122–128. [Accessed5 December 2022]. DOI 10.14393/BJ-v34n1a2018-37421. Available from: https://seer.ufu.br/index.php/biosciencejournal/article/view/37421.

Issue

Section

Agricultural Sciences