2016
DOI: 10.4238/gmr.15048382
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Multibreed genetic evaluation in bovines using simulated data employing a composite population

Abstract: 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… Show more

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“…The efficiency in the selection process of genetically superior animals in breeding programs, whether purebred, crossbreds or composite animals, depends on the accuracy of estimation of the genetic value of the animals at a young age. The methodological procedures used in the genomic evaluation for multi-breed animals allow more accurate predictions of genetic values through direct comparison between animals of different breed compositions and for the additive and non-additive genetic components BUENO et al 2011, BOCCHI et al, 2016DUENK et al, 2020;GRIGOLETTO et al, 2019;. However, as reported by Elzo and Borjas (2004), , and Misztal et al (2013), these statistical genetic models are complex, providing mismatch between genetic components and inclusion of non-additive genetic effects, dominance and epistasis.…”
Section: Background and Justificationmentioning
confidence: 99%
“…The efficiency in the selection process of genetically superior animals in breeding programs, whether purebred, crossbreds or composite animals, depends on the accuracy of estimation of the genetic value of the animals at a young age. The methodological procedures used in the genomic evaluation for multi-breed animals allow more accurate predictions of genetic values through direct comparison between animals of different breed compositions and for the additive and non-additive genetic components BUENO et al 2011, BOCCHI et al, 2016DUENK et al, 2020;GRIGOLETTO et al, 2019;. However, as reported by Elzo and Borjas (2004), , and Misztal et al (2013), these statistical genetic models are complex, providing mismatch between genetic components and inclusion of non-additive genetic effects, dominance and epistasis.…”
Section: Background and Justificationmentioning
confidence: 99%