Document details

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

Author(s): Rodovalho,Marcos ; Mora,Freddy ; Arriagada,Osvin ; Maldonado,Carlos ; Arnhold,Emmanuel ; Scapim,Carlos Alberto

Date: 2014

Origin: Oasisbr

Subject(s): Zea mays L.; popping expansion; grain yield; heritability


Description

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.

Document Type Journal article
Language English
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