D.P. Albuquerque, G.C. Entringer, G.A. Gravina, D.P. Cruz, I.M. Pereira, C.L. Leite, D.H.L. Teixeira, M. Vivas and R.F. Daher
Published: August 26, 2024
Genet. Mol. Res. 23 (3): gmr2301
DOI: http://dx.doi.org/10.4238/gmr2301
About the Authors
D.P. Albuquerque, G.C. Entringer, G.A. Gravina, D.P. Cruz, I.M. Pereira, C.L. Leite, D.H.L. Teixeira, M. Vivas and R.F. Daher
Corresponding Author
D.P. Albuquerque
Email: dalcirlei.albuquerque@ufv.br
ABSTRACT
Genetic breeding researches begin with controlled hybridizations to explore the genetic variability and the subsequent best materials selection. The present research aimed to assess the F2 population genetic variability and discharge the minor importance variables. Hybridizations between a yellow and the UENF Goytacá lines were used to obtain the segregating population. The F2 seeds were evaluated at field. Among these, 178 indeterminate habit were the primary research focus. The research obtained data on 16 qualitative and quantitative traits, analyzing them later by descriptive techniques to verify the distribution. The REML/ BLUP method obtained the genetic parameters estimates and genetic values prediction. The possibility of discarding redundant characters was verified using Singh’s methodologies, principal component analysis and correlation coefficients. Grouping analyses by the Tocher and UPGMA methods assessed the genetic variability in the populations, using the standardized mean Euclidean distance as a dissimilarity measure. In the end, the best thirty individuals were chosen for the characteristic of total pods per plant. All traits displayed higher or lower degrees of phenotypic variation. The selected genotypes were auspicious due to the high values observed for the characteristics. The data analysis suggested to be discarded of the pod width because it was redundant. Moreover, the data highlighted the formation of divergent groups for both grouping techniques, corroborating the existing variability. The thirty best genotypes selection promoted a 7.62% gain from the pods’ number per plant. This experience showed that the genealogical method could improve selected genotypes, continuing the UENF snap bean breeding program.
Key words: Correlations; Multivariate analyses; REML/BLUP; Segregating population