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