Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed
ABSTRACT 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,...
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Sociedade Brasileira de Zootecnia
2021-06-01
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author | Pamela Itajara Otto Alexandre Leseur dos Santos Daniel Perotto Sheila Nogueira de Oliveira Fernanda Granzotto Diego Ortunio Rosa Gobo Felipe Eduardo Zanão de Souza Guilherme Thomazini |
author_facet | Pamela Itajara Otto Alexandre Leseur dos Santos Daniel Perotto Sheila Nogueira de Oliveira Fernanda Granzotto Diego Ortunio Rosa Gobo Felipe Eduardo Zanão de Souza Guilherme Thomazini |
author_sort | Pamela Itajara Otto |
collection | DOAJ |
description | ABSTRACT 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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language | English |
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publishDate | 2021-06-01 |
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spelling | doaj.art-9fc3c6f7d00942e09a9287baca8cbbb72022-12-21T17:22:45ZengSociedade Brasileira de ZootecniaRevista Brasileira de Zootecnia1806-92902021-06-015010.37496/rbz5020180224Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breedPamela Itajara Ottohttps://orcid.org/0000-0003-1702-4626Alexandre Leseur dos Santoshttps://orcid.org/0000-0001-8261-3211Daniel Perottohttps://orcid.org/0000-0003-1055-0981Sheila Nogueira de Oliveirahttps://orcid.org/0000-0001-7364-3988Fernanda Granzottohttps://orcid.org/0000-0003-2026-8752Diego Ortunio Rosa Gobohttps://orcid.org/0000-0001-8152-3521Felipe Eduardo Zanão de Souzahttps://orcid.org/0000-0003-3495-8543Guilherme Thomazinihttps://orcid.org/0000-0002-1714-8509ABSTRACT 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100404&tlng=enbody weightcrossbred cattlegrowth traitsmaternal effect |
spellingShingle | Pamela Itajara Otto Alexandre Leseur dos Santos Daniel Perotto Sheila Nogueira de Oliveira Fernanda Granzotto Diego Ortunio Rosa Gobo Felipe Eduardo Zanão de Souza Guilherme Thomazini Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed Revista Brasileira de Zootecnia body weight crossbred cattle growth traits maternal effect |
title | Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed |
title_full | Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed |
title_fullStr | Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed |
title_full_unstemmed | Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed |
title_short | Estimation of genetic parameters for weaning and yearling weights in a composite population used to form the Purunã breed |
title_sort | estimation of genetic parameters for weaning and yearling weights in a composite population used to form the puruna breed |
topic | body weight crossbred cattle growth traits maternal effect |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982021000100404&tlng=en |
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