Métodos de estimação de efeitos genéticos não-aditivos para características de peso e perímetro escrotal em bovinos de corte mestiços

Bueno, Rachel Santos; Torres, Robledo de Almeida; Ferraz, José Bento Sterman; Lopes, Paulo Sávio; Eler, Joanir Pereira; Mourão, Gerson Barreto; Silva, Martinho de Almeida e; Mattos, E. C.

doi:10.1590/s1516-35982012000500009

Cited by 7 publications

(3 citation statements)

References 16 publications

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“…Moreover, a meta-analysis showed that direct and maternal breed and heterosis effect estimated using crossbreeding study data can supplement the direct prediction in a multibreed evaluation (Williams et al, 2013). Although the multiple-breed evaluation can be an alternative to evaluate YW, to better understand their genetic architecture in the evaluated composite population, this analysis requires a much larger number of variance components to be estimated and it is computationally more complex, besides presenting multicollinearity problems, and thus may be cumbersome for practical applications (Cardoso and Tempelman, 2004;Bueno et al, 2012;Prestes et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

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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Section: Discussionmentioning

confidence: 99%

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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“…The considerable increase in the production of beef cattle by genetic improvement has been achieved by selection, crossbreed and combination of both (BUENO et al, 2012). The genetic evaluation in multiracial populations combines the information of all animals belonging to the study population (pure and crossbred), and includes direct and maternal racial effects and the effects of heterosis in analyses (WILLIAMS et al, 2010).…”

Section: Growthmodellingmentioning

confidence: 99%

Application of Random Regression Models for Growth Traits of Nellore Cattle in Brazil

Fonseca

Evangelista²,

Borges³

et al. 2016

Nucleus Animal.

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The purpose of this review is to show the increase in number of researches on covariance components and genetic evaluation using random regression models (RRM) for growth traits of Nellore cattle. Random regression models, also known as infinite-dimension models have been used to estimate variance components and genetic parameters for weight of beef cattle. In addition, those models are a standard alternative for genetic analyses of longitudinal data, however, the availibility of computational resources for performing genetic evaluations widely is an obstacle. Traits related to animal growth are adopted as selection criteria in beef cattle breeding programs, because the remuneration of cattle breeders is made based on the weight of carcasses. In recent years, RRM have been adopted as standard procedure in relation to the analysis of longitudinal data in animal breeding.

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“…However, the authors highlighted the need for further investigations and development of more complete models or other adjustment strategies. Using information from the same population as Mourão et al (2008), with actualized animal data, Bueno et al (2012) studied two models. In one model, the data were pre-adjusted for non-additive effects that considered the direct additive, maternal, and non-additive fixed genetic effects, the direct and total maternal heterozygosities, and epistasis.…”

Section: Introductionmentioning

confidence: 99%

Multibreed genetic evaluation in bovines using simulated data employing a composite population

et al. 2016

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Genetic evaluations in Brazil are performed within each animal breed; however, with the wide range of extant genetic groups in the country and the increased use of genetic crossing as a form of rapid meat production, more elaborate programs that can jointly evaluate animals of different genetic groups are needed. Genetic evaluation of a composite breed is difficult because of the variation in the genetic composition of a given herd, as well as the inclusion of non-additive genetic effects among breeds that can be important for selecting traits in certain breed combinations. Newer models include additive and non-additive effects; however, few studies have investigated these aspects in tropical breeds. The aim of this study was to simulate genetic values to compare different models. Non-inclusion of maternal effects in models leads to overestimation of variance and direct heritability. Estimates of the biological additive effects are influenced by the maternal effects; however, estimates of the non-additive effects are minimally influenced by the maternal effects and are well estimated in any situation. The studied models effectively predict the direct genetic values.

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Métodos de estimação de efeitos genéticos não-aditivos para características de peso e perímetro escrotal em bovinos de corte mestiços

Cited by 7 publications

References 16 publications

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

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

Application of Random Regression Models for Growth Traits of Nellore Cattle in Brazil

Multibreed genetic evaluation in bovines using simulated data employing a composite population

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