Análise genética de características de fertilidade, de crescimento e de produtividade em vacas da raça Canchim

Mello, S.P.; Alencar, M. M. de; Santos, D. C.C.; Toral, Fábio Luiz Buranelo

doi:10.1590/1678-41626876

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…The YW and YWNM models resulted in genetic parameter estimates inconsistent with specialized literature. The direct heritability estimates for YW and YWNM (0.05 and 0.06, respectively) were lower than the results found in Canchim (0.23 and 0.46), Angus (0.43), and Caracu (0.36) breeds (Pereira et al, 2008;Baldi et al, 2010;Costa et al, 2011;Mello et al, 2014). The maternal heritability estimated (0.02) for YW was close to heritability described in studies with purebred and crossbred cattle populations (0.03 and 0.05) (Baldi et al, 2010;Haile et al, 2011;Schiermiester et al, 2015).…”

Section: Discussionmentioning

confidence: 68%

Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed

Otto¹,

Santos²,

Perotto³

et al. 2021

Revista Brasileira De Zootecnia

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We aimed to evaluate the effects of sex and the linear and quadratic components of age of dam at calving, as well as apply a mixed model including maternal effect for the genetic evaluation of weaning (WW) and yearling (YW) weights. The phenotypic database was composed by Charolais, Caracu, Aberdeen Angus, and Canchim purebred and crossbred animals. Single-trait analyses were performed using models that included the maternal effect for WW and YW traits, and a model ignoring this effect on YW (YWNM). The Deviance Information Criterion (DIC), model posterior probabilities (MPP), accuracy of breeding values (ACC), and Spearman's rank correlation were applied to compare the models including and ignoring the maternal effect on YW. Sex and age of dam at calving had significant effects on WW and YW. The direct heritability estimates were 0.21±0.03 and 0.05±0.02, and the maternal heritabilities were 0.11±0.02 and 0.02±0.01 for WW and YW, respectively. The heritabilities estimated for YW may have been influenced by the several genetic groups in the population and by used conventional animal model, which may not have been the better fit model to evaluate YW in this population. The DIC, MPP, and ACC values indicated that YW outperformed the YWNM model, but the rank correlation and percentages of individuals selected in common suggested that the best animals would be selected independently of the model chosen.

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