Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MT...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2018-06-01
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| Series: | Czech Journal of Animal Science |
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| Online Access: | https://cjas.agriculturejournals.cz/artkey/cjs-201806-0002_genetic-evaluation-of-growth-traits-in-nellore-cattle-through-multi-trait-and-random-regression-models.php |
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| author | Bruno Bastos Teixeira Rodrigo Reis Mota Raysildo Barbosa Lôbo Luciano Pinheiro da Silva Antônio Policarpo Souza Carneiro Felipe Gomes da Silva Giovani da Costa Caetano Fabyano Fonseca e Silva |
| author_facet | Bruno Bastos Teixeira Rodrigo Reis Mota Raysildo Barbosa Lôbo Luciano Pinheiro da Silva Antônio Policarpo Souza Carneiro Felipe Gomes da Silva Giovani da Costa Caetano Fabyano Fonseca e Silva |
| author_sort | Bruno Bastos Teixeira |
| collection | DOAJ |
| description | We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies. |
| first_indexed | 2024-04-10T08:25:07Z |
| format | Article |
| id | doaj.art-7674d429038b4266898f151287511057 |
| institution | Directory Open Access Journal |
| issn | 1212-1819 1805-9309 |
| language | English |
| last_indexed | 2024-04-10T08:25:07Z |
| publishDate | 2018-06-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Czech Journal of Animal Science |
| spelling | doaj.art-7674d429038b4266898f1512875110572023-02-23T03:33:35ZengCzech Academy of Agricultural SciencesCzech Journal of Animal Science1212-18191805-93092018-06-0163621222110.17221/21/2017-CJAScjs-201806-0002Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression modelsBruno Bastos Teixeira0Rodrigo Reis Mota1Raysildo Barbosa Lôbo2Luciano Pinheiro da Silva3Antônio Policarpo Souza Carneiro4Felipe Gomes da Silva5Giovani da Costa Caetano6Fabyano Fonseca e Silva7Departament of Basic Sciences, Federal University of Vales do Jequitinhonha e Mucuri, Diamantina, BrazilTERRA Teaching and Research Centre, Gembloux Agro-Bio Tech, University of Liège, Gembloux, BelgiumDepartment of Genetics, University of São Paulo, Ribeirão Preto, BrazilDepartament of Animal Science, Federal University of Ceará, Fortaleza, BrazilDepartament of Statistics, Federal University of Viçosa, Viçosa, BrazilDepartament of Animal Science and Rural Extension, Federal University of Mato Grosso, Cuiabá, BrazilDepartament of Animal Science, Federal University of Viçosa, Viçosa, BrazilDepartament of Animal Science, Federal University of Viçosa, Viçosa, BrazilWe aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to describe growth curves in Nellore cattle. The proposed RRM were also compared to multi-trait models (MTM). Variance components and genetic parameters estimates were performed via REML for all models. Twelve RRM were compared through Akaike (AIC) and Bayesian (BIC) information criteria. The model of order three for the fixed curve and four for all random effects (direct genetic, maternal genetic, permanent environment, and maternal permanent environment) fits best. Estimates of direct genetic, maternal genetic, maternal permanent environment, permanent environment, phenotypic and residual variances were similar between MTM and RRM. Heritability estimates were higher via RRM. We presented perspectives for the use of RRM for genetic evaluation of growth traits in Brazilian Nellore cattle. In general, moderate heritability estimates were obtained for the majority of studied traits when using RRM. Additionally, the precision of these estimates was higher when using RRM instead of MTM. However, concerns about the variance components estimates in advanced ages via Legendre polynomial must be taken into account in future studies.https://cjas.agriculturejournals.cz/artkey/cjs-201806-0002_genetic-evaluation-of-growth-traits-in-nellore-cattle-through-multi-trait-and-random-regression-models.phpbody weightgenetic parametersgrowth curves |
| spellingShingle | Bruno Bastos Teixeira Rodrigo Reis Mota Raysildo Barbosa Lôbo Luciano Pinheiro da Silva Antônio Policarpo Souza Carneiro Felipe Gomes da Silva Giovani da Costa Caetano Fabyano Fonseca e Silva Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models Czech Journal of Animal Science body weight genetic parameters growth curves |
| title | Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models |
| title_full | Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models |
| title_fullStr | Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models |
| title_full_unstemmed | Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models |
| title_short | Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models |
| title_sort | genetic evaluation of growth traits in nellore cattle through multi trait and random regression models |
| topic | body weight genetic parameters growth curves |
| url | https://cjas.agriculturejournals.cz/artkey/cjs-201806-0002_genetic-evaluation-of-growth-traits-in-nellore-cattle-through-multi-trait-and-random-regression-models.php |
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