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

• Autor(a) principal: Rodovalho,Marcos
• Data de Publicação: 2014
• Outros Autores: Mora,Freddy, Arriagada,Osvin, Maldonado,Carlos, Arnhold,Emmanuel, Scapim,Carlos Alberto
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Crop Breeding and Applied Biotechnology
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000400009
• topic: Zea mays L.; popping expansion; grain yield; heritability

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 h² of 0.34, and 90% Bayesian confidence interval of 0.22 to 0.44. The heritability of grain yield (family level) was moderate (h² = 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.