Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm

Rodovalho, M; Mora, F; Arriagada, O.; Maldonado, C; Arnhold E.; Scapim, CA

Keywords: heritability, zea mays l., grain yield, popping expansion

Abstract

The objective of this study was to examine genetic parameters of popping expansion and grain yield in a trial of 169 half-sib families using a Bayesian approach. The independence chain algorithm with informative priors for the components of residual and family variance (inverse-gamma prior distribution) was used. Popping expansion was found to be moderately heritable, with a posterior mode of h(2) of 0.34, and 90% Bayesian confidence interval of 0.22 to 0.44. The heritability of grain yield (family level) was moderate (h(2) = 0.4) with Bayesian confidence interval of 0.28 to 0.49. The target population contains sufficient genetic variability for subsequent breeding cycles, and the Bayesian approach is a useful alternative for scientific inference in the genetic evaluation of popcorn.

Más información

Título según WOS: Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm
Título según SCOPUS: Genetic evaluation of popcorn families using a Bayesian approach via the independence chain algorithm [Abordagem Bayesiana na avaliação genética de famílias de meios-irmãos de milho pipoca via algoritmo de Cadeias de Independência]
Título de la Revista: CROP BREEDING AND APPLIED BIOTECHNOLOGY
Volumen: 14
Número: 4
Editorial: BRAZILIAN SOC PLANT BREEDING
Fecha de publicación: 2014
Página de inicio: 261
Página final: 265
Idioma: English
DOI:

10.1590/1984-70332014v14n4n41

Notas: ISI, SCOPUS