Estimation of genetic parameters in dairy production in girolando cattle
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Ciência animal brasileira (Online) |
Texto Completo: | https://revistas.ufg.br/vet/article/view/72300 |
Resumo: | Milk production is an important economic activity in Brazil. Dairy farmers would benefit from animal breeding programs that aid in identification and selection of animals with the best cost/benefit ratio to maximize productivity, and additionally provide advice on disposal of less productive animals. This study aims to estimate the heritability and repeatability of milk production corrected for 305 days (PL305) in a herd of Girolando cattle. We analyzed 528 lactations in 251 cows. For the analysis, uniform a priori distribution was defined for systematic effects. Gaussian and inverted Wishart distributions were defined as a priori distributions for random effects. The variance components were estimated based on Bayesian inference using the MCMCglmm function available in the MCMCglmm package of the R software. Convergence was verified with the Geweke test available in the R software. The heritability and repeatability were estimated from the variance component results. Heritability was at 0.28, suggesting that selection for the milk production trait leads to efficient genetic progress in the herd. Phenotypic variance was mainly due to environmental variance; therefore, the phenotype of individuals should not be considered as indicator for additive genetic variance. Repeatability was at 0.93, indicating that the first performance of the animals based on milk production average is a good indicator of the second, and the data could be used for disposal decisions.Keywords: heritability, repeatability, 305-day milk yield |
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Estimation of genetic parameters in dairy production in girolando cattleEstimação de parâmetros genéticos na produção leiteira em bovinos girolandoMilk production is an important economic activity in Brazil. Dairy farmers would benefit from animal breeding programs that aid in identification and selection of animals with the best cost/benefit ratio to maximize productivity, and additionally provide advice on disposal of less productive animals. This study aims to estimate the heritability and repeatability of milk production corrected for 305 days (PL305) in a herd of Girolando cattle. We analyzed 528 lactations in 251 cows. For the analysis, uniform a priori distribution was defined for systematic effects. Gaussian and inverted Wishart distributions were defined as a priori distributions for random effects. The variance components were estimated based on Bayesian inference using the MCMCglmm function available in the MCMCglmm package of the R software. Convergence was verified with the Geweke test available in the R software. The heritability and repeatability were estimated from the variance component results. Heritability was at 0.28, suggesting that selection for the milk production trait leads to efficient genetic progress in the herd. Phenotypic variance was mainly due to environmental variance; therefore, the phenotype of individuals should not be considered as indicator for additive genetic variance. Repeatability was at 0.93, indicating that the first performance of the animals based on milk production average is a good indicator of the second, and the data could be used for disposal decisions.Keywords: heritability, repeatability, 305-day milk yieldA produção de leite é uma das atividades econômicas mais importantes da agropecuária brasileira. Produtores podem usufruir de programas de melhoramento genético que permitem a identificação dos melhores animais e sua seleção para maximizar a produtividade com a melhor relação custo/benefício, além do aconselhamento do descarte de animais menos produtivos. Objetivou-se estimar a herdabilidade e repetibilidade da produção de leite corrigida para 305 dias (PL305) de um rebanho de bovinos da raça Girolando. Foram analisadas 528 lactações de 251 vacas. Para análise foi definida a distribuição uniforme a priori para efeitos sistemáticos. As distribuições de Wishart gaussiana e invertida foram definidas como distribuições a priori para efeitos aleatórios. Os componentes de variância foram estimados utilizando inferência bayesiana pela função MCMCglmm disponível no pacote MCMCglmm do software R. A convergência foi verificada pelo teste de Geweke disponível no software R. Após a obtenção dos componentes de variância foram estimados a herdabilidade e repetibilidade. A herdabilidade observada foi 0,28, o que sugere que a seleção para esta característica resultará em progresso genético eficiente no rebanho. A maior parte da variância fenotípica é devido a variância ambiental, com isso, o fenótipo dos indivíduos não é um bom indicador da variância genética aditiva. A repetibilidade foi de 0,93, indicando que o primeiro desempenho dos animais é considerado um bom indicador do segundo, podendo ser utilizadas em decisões de descarte. Palavras-chave: herdabilidade; repetibilidade; produção de leite aos 305 diasUniversidade Federal de Goiás2022-07-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://revistas.ufg.br/vet/article/view/72300Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 23 (2022): Continuous publicationCiência Animal Brasileira / Brazilian Animal Science; v. 23 (2022): Publicação contínua1809-68911518-2797reponame:Ciência animal brasileira (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGporenghttps://revistas.ufg.br/vet/article/view/72300/38480https://revistas.ufg.br/vet/article/view/72300/38576https://revistas.ufg.br/vet/article/view/72300/38481https://revistas.ufg.br/vet/article/view/72300/38577Copyright (c) 2022 Ciência Animal Brasileira / Brazilian Animal Sciencehttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarbero, Marina Mortati Dias Maia Fort, NicolliSchultz, Érica BeatrizPuerro de Melo, Ana Lúcia Morais Moura, André 2023-03-23T18:43:54Zoai:ojs.revistas.ufg.br:article/72300Revistahttps://revistas.ufg.br/vetPUBhttps://revistas.ufg.br/vet/oai||revistacab@gmail.com1809-68911518-2797opendoar:2024-05-21T19:56:30.272787Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG)true |
dc.title.none.fl_str_mv |
Estimation of genetic parameters in dairy production in girolando cattle Estimação de parâmetros genéticos na produção leiteira em bovinos girolando |
title |
Estimation of genetic parameters in dairy production in girolando cattle |
spellingShingle |
Estimation of genetic parameters in dairy production in girolando cattle Barbero, Marina Mortati Dias |
title_short |
Estimation of genetic parameters in dairy production in girolando cattle |
title_full |
Estimation of genetic parameters in dairy production in girolando cattle |
title_fullStr |
Estimation of genetic parameters in dairy production in girolando cattle |
title_full_unstemmed |
Estimation of genetic parameters in dairy production in girolando cattle |
title_sort |
Estimation of genetic parameters in dairy production in girolando cattle |
author |
Barbero, Marina Mortati Dias |
author_facet |
Barbero, Marina Mortati Dias Maia Fort, Nicolli Schultz, Érica Beatriz Puerro de Melo, Ana Lúcia Morais Moura, André |
author_role |
author |
author2 |
Maia Fort, Nicolli Schultz, Érica Beatriz Puerro de Melo, Ana Lúcia Morais Moura, André |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Barbero, Marina Mortati Dias Maia Fort, Nicolli Schultz, Érica Beatriz Puerro de Melo, Ana Lúcia Morais Moura, André |
description |
Milk production is an important economic activity in Brazil. Dairy farmers would benefit from animal breeding programs that aid in identification and selection of animals with the best cost/benefit ratio to maximize productivity, and additionally provide advice on disposal of less productive animals. This study aims to estimate the heritability and repeatability of milk production corrected for 305 days (PL305) in a herd of Girolando cattle. We analyzed 528 lactations in 251 cows. For the analysis, uniform a priori distribution was defined for systematic effects. Gaussian and inverted Wishart distributions were defined as a priori distributions for random effects. The variance components were estimated based on Bayesian inference using the MCMCglmm function available in the MCMCglmm package of the R software. Convergence was verified with the Geweke test available in the R software. The heritability and repeatability were estimated from the variance component results. Heritability was at 0.28, suggesting that selection for the milk production trait leads to efficient genetic progress in the herd. Phenotypic variance was mainly due to environmental variance; therefore, the phenotype of individuals should not be considered as indicator for additive genetic variance. Repeatability was at 0.93, indicating that the first performance of the animals based on milk production average is a good indicator of the second, and the data could be used for disposal decisions.Keywords: heritability, repeatability, 305-day milk yield |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufg.br/vet/article/view/72300 |
url |
https://revistas.ufg.br/vet/article/view/72300 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://revistas.ufg.br/vet/article/view/72300/38480 https://revistas.ufg.br/vet/article/view/72300/38576 https://revistas.ufg.br/vet/article/view/72300/38481 https://revistas.ufg.br/vet/article/view/72300/38577 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Ciência Animal Brasileira / Brazilian Animal Science http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Ciência Animal Brasileira / Brazilian Animal Science http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
Brazilian Animal Science/ Ciência Animal Brasileira; Vol. 23 (2022): Continuous publication Ciência Animal Brasileira / Brazilian Animal Science; v. 23 (2022): Publicação contínua 1809-6891 1518-2797 reponame:Ciência animal brasileira (Online) instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Ciência animal brasileira (Online) |
collection |
Ciência animal brasileira (Online) |
repository.name.fl_str_mv |
Ciência animal brasileira (Online) - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
||revistacab@gmail.com |
_version_ |
1799874790646874112 |