2014
DOI: 10.1007/s11295-014-0716-2
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Bayesian estimation of genetic parameters for growth, stem straightness, and survival in Eucalyptus globulus on an Andean Foothill site

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Cited by 33 publications
(38 citation statements)
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“…The species are planted primarily for wood and pulp production; therefore, a series of breeding experiments have been conducted to improve growth and wood quality traits (Bundock et al 2008;Mora and Serra 2014). However, little knowledge exists about the classification of the CV values in Eucalyptus experiments.…”
Section: Introductionmentioning
confidence: 99%
“…The species are planted primarily for wood and pulp production; therefore, a series of breeding experiments have been conducted to improve growth and wood quality traits (Bundock et al 2008;Mora and Serra 2014). However, little knowledge exists about the classification of the CV values in Eucalyptus experiments.…”
Section: Introductionmentioning
confidence: 99%
“…These procedures determine the marginal posterior distribution of estimates of parameters. The Bayesian approach is considered an important tool in genetic evaluation, since the existing uncertainty about all model parameters (including variance components) is taken into consideration (Arriagada et al 2012, Mora andSerra 2014). In the context of Bayesian inference, all model parameters are considered random variables according to the M Rodovalho et al…”
Section: Introductionmentioning
confidence: 99%
“…The Bayesian information criterion (BIC) or Schwarz criterion was computed to check the significance of the family and interaction effects (Mora & Serra, 2014). In the case when the family-environment interaction was found to be statistically insignificant (according to BIC), the interaction variance was removed from the heritability equations.…”
Section: Methodsmentioning
confidence: 99%
“…Bayesian methods are increasingly being employed in plant breeding, enabled by Markov Chain Monte Carlo Methods (MCMC) methods. One advantage of the Bayesian procedures is the possibility of using the credibility regions as an alternative estimation of genetic parameters, which are obtained directly from posterior distribution (Mora & Serra, 2014). In the current study, a Bayesian analysis of genetic parameters for quantitative traits was carried out in full-sib families of popcorn through four cycles (C 5 , C 6 , C 7 , and C 8 ) of recurrent selection, in the state of Rio de Janeiro, Brazil.…”
Section: Bayesian Analysis Of Quantitative Traits In Popcorn (Zea Maymentioning
confidence: 99%