Genotype-environment interaction effects on weight gain in cattle using reaction norms
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/21244 |
Resumo: | The existence of genotype-environment interaction (GEI) using reaction norm models and their impact on the genetic evaluation of Nellore sires for body weight at 120, 210, 365 and 450 days of age was verified. Three models were used: animal model (AM) that disregards GEI and the one-step reaction norm model with homogeneous and heterogeneous residual variance (1SRNMH_het). Bayes Inference via Gibbs Sampling was used to estimate the variance components. The AM model better fits to weights at 120 and 210 days of age, while 1SRNMH_het was more adequate for body weights at 365 and 450 days of age, suggesting the existence of GEI. The posterior means of direct heritability were 0.33±0.01 and 0.36±0.01 and maternal heritability of 0.21±0.01 and 0.19±0.01 for body weights at 120 and 210 days of age, respectively. For body weights at 365 and 450 days of age, posterior means of heritability varied along the environmental gradient, but the ranking of sires based on breeding values was not changed by different environmental gradients. All rank correlations were greater than 0.80, strongly suggesting a scale effect of GEI. Despite the evidence of GEI on post-weaning weight gain, it did not change the ranking of sires. Therefore, it did not have a relevant impact on the genetic evaluation of sires because they are robust to environmental changes. |
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Genotype-environment interaction effects on weight gain in cattle using reaction norms Efectos de la interacción genotipo-ambiente en el aumento de peso del ganado vacuno mediante normas de reacciónEfeitos da interação genótipo-ambiente sobre o ganho de peso em bovinos usando normas de reação Bayesian analysisGenetic parametersHeterogeneity of variancesPerformance.Análisis bayesianoParámetros genéticosHeterogeneidad de varianzasRendimiento.Análise bayesianaDesempenho ponderalHeterogeneidade de variânciasParâmetros genéticos.The existence of genotype-environment interaction (GEI) using reaction norm models and their impact on the genetic evaluation of Nellore sires for body weight at 120, 210, 365 and 450 days of age was verified. Three models were used: animal model (AM) that disregards GEI and the one-step reaction norm model with homogeneous and heterogeneous residual variance (1SRNMH_het). Bayes Inference via Gibbs Sampling was used to estimate the variance components. The AM model better fits to weights at 120 and 210 days of age, while 1SRNMH_het was more adequate for body weights at 365 and 450 days of age, suggesting the existence of GEI. The posterior means of direct heritability were 0.33±0.01 and 0.36±0.01 and maternal heritability of 0.21±0.01 and 0.19±0.01 for body weights at 120 and 210 days of age, respectively. For body weights at 365 and 450 days of age, posterior means of heritability varied along the environmental gradient, but the ranking of sires based on breeding values was not changed by different environmental gradients. All rank correlations were greater than 0.80, strongly suggesting a scale effect of GEI. Despite the evidence of GEI on post-weaning weight gain, it did not change the ranking of sires. Therefore, it did not have a relevant impact on the genetic evaluation of sires because they are robust to environmental changes.El objetivo fue verificar la existencia de la interacción genotipo-ambiente (IGA) mediante modelos de norma de reacción y su impacto en la evaluación genética de los toros de la raza Nelore para el peso corporal a los 120, 210, 365 y 450 días de edad. Se utilizaron tres modelos: el modelo animal tradicional (MA) considerando la ausencia de IGA y los modelos de normas de reacción de un paso considerando la varianza residual homogénea y heterogénea (MHNR1p_het), utilizando la inferencia bayesiana, a través del Gibbs Sampler para la estimación de los componentes de la varianza. El modelo MA presentó el mejor ajuste para los pesos a los 120 y 210 días de edad, mientras que el MHNR1p_het fue más apropiado para los pesos corporales a los 365 y 450 días de edad, caracterizando la presencia de IGA. Las medias posteriores de la heredabilidad directa fueron de 0,33±0,01 y 0,36±0,01 y la materna de 0,21±0,01 y 0,19±0,01 para los pesos corporales a los 120 y 210 días de edad, respectivamente. Para los pesos corporales a los 365 y 450 días de edad, las medias de heredabilidad posteriores variaron según el gradiente ambiental, sin embargo, sin que se alterara la ordenación de los valores genéticos de los toros en los distintos gradientes ambientales. Todas las correlaciones de orden fueron superiores a 0,80, lo que pone de relieve el efecto de escala del IGA. Así, a pesar de la evidencia de la presencia de IGA para el rendimiento ponderal en la fase post-destete, no promovió cambios en la clasificación de los animales, por lo tanto sin impacto relevante en la evaluación genética de los sementales debido a que son robustos frente a las variaciones ambientales.Objetivou-se verificar a existência da interação genótipo-ambiente (IGA) por meio de modelos de normas de reação e seu impacto na avaliação genética de reprodutores da raça Nelore para pesos corporais aos 120, 210, 365 e 450 dias de idade. Utilizaram-se três modelos: modelo animal tradicional (MA) considerando ausência da IGA e os modelos de normas de reação de um passo considerando variância residual homogênea e heterogênea (MHNR1p_het), utilizando-se a inferência bayesiana, por meio de Amostrador de Gibbs para estimação dos componentes de variância. O modelo MA apresentou melhor ajuste para os pesos aos 120 e 210 dias de idade, enquanto que o MHNR1p_het foi mais adequado para os pesos corporais aos 365 e 450 dias de idade, caracterizando-se a presença de IGA. As médias posteriores de herdabilidade direta foram de 0,33±0,01 e 0,36±0,01 e maternas de 0,21±0,01 e 0,19±0,01 para os peso aos 120 e 210 dias de idade, respectivamente. Nos pesos corporais aos 365 e 450 dias de idade, as médias posteriores de herdabilidade variaram conforme o gradiente ambiental, porém, sem alteração no ordenamento dos valores genéticos dos reprodutores nos diferentes gradientes ambientais. Todas as correlações de ordem foram maiores que 0,80, enfatizando o efeito em escala da IGA. Assim, apesar de evidências de presença da IGA para o desempenho ponderal na fase de pós-desmame, a mesma não promoveu mudanças na classificação dos animais, portanto sem impacto relevante sobre a avaliação genética de reprodutores devido ao fato de que os mesmos são robustos frente às variações ambientais.Research, Society and Development2021-10-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2124410.33448/rsd-v10i13.21244Research, Society and Development; Vol. 10 No. 13; e278101321244Research, Society and Development; Vol. 10 Núm. 13; e278101321244Research, Society and Development; v. 10 n. 13; e2781013212442525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIenghttps://rsdjournal.org/index.php/rsd/article/view/21244/18908Copyright (c) 2021 Rafaela Zubler; Cláudio Vieira de Araújo; Flávio Luiz de Menezes; Rodrigo Reis Mota; Simone Inoe Araújo; Raysildo Barbosa Lôbo; Lilian Roberta Matimoto Nakabashihttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessZubler, RafaelaAraújo, Cláudio Vieira deMenezes, Flávio Luiz de Mota, Rodrigo ReisAraújo, Simone InoeLôbo, Raysildo Barbosa Nakabashi, Lilian Roberta Matimoto2021-11-21T18:26:28Zoai:ojs.pkp.sfu.ca:article/21244Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:40:42.448293Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Genotype-environment interaction effects on weight gain in cattle using reaction norms Efectos de la interacción genotipo-ambiente en el aumento de peso del ganado vacuno mediante normas de reacción Efeitos da interação genótipo-ambiente sobre o ganho de peso em bovinos usando normas de reação |
title |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
spellingShingle |
Genotype-environment interaction effects on weight gain in cattle using reaction norms Zubler, Rafaela Bayesian analysis Genetic parameters Heterogeneity of variances Performance. Análisis bayesiano Parámetros genéticos Heterogeneidad de varianzas Rendimiento. Análise bayesiana Desempenho ponderal Heterogeneidade de variâncias Parâmetros genéticos. |
title_short |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
title_full |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
title_fullStr |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
title_full_unstemmed |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
title_sort |
Genotype-environment interaction effects on weight gain in cattle using reaction norms |
author |
Zubler, Rafaela |
author_facet |
Zubler, Rafaela Araújo, Cláudio Vieira de Menezes, Flávio Luiz de Mota, Rodrigo Reis Araújo, Simone Inoe Lôbo, Raysildo Barbosa Nakabashi, Lilian Roberta Matimoto |
author_role |
author |
author2 |
Araújo, Cláudio Vieira de Menezes, Flávio Luiz de Mota, Rodrigo Reis Araújo, Simone Inoe Lôbo, Raysildo Barbosa Nakabashi, Lilian Roberta Matimoto |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Zubler, Rafaela Araújo, Cláudio Vieira de Menezes, Flávio Luiz de Mota, Rodrigo Reis Araújo, Simone Inoe Lôbo, Raysildo Barbosa Nakabashi, Lilian Roberta Matimoto |
dc.subject.por.fl_str_mv |
Bayesian analysis Genetic parameters Heterogeneity of variances Performance. Análisis bayesiano Parámetros genéticos Heterogeneidad de varianzas Rendimiento. Análise bayesiana Desempenho ponderal Heterogeneidade de variâncias Parâmetros genéticos. |
topic |
Bayesian analysis Genetic parameters Heterogeneity of variances Performance. Análisis bayesiano Parámetros genéticos Heterogeneidad de varianzas Rendimiento. Análise bayesiana Desempenho ponderal Heterogeneidade de variâncias Parâmetros genéticos. |
description |
The existence of genotype-environment interaction (GEI) using reaction norm models and their impact on the genetic evaluation of Nellore sires for body weight at 120, 210, 365 and 450 days of age was verified. Three models were used: animal model (AM) that disregards GEI and the one-step reaction norm model with homogeneous and heterogeneous residual variance (1SRNMH_het). Bayes Inference via Gibbs Sampling was used to estimate the variance components. The AM model better fits to weights at 120 and 210 days of age, while 1SRNMH_het was more adequate for body weights at 365 and 450 days of age, suggesting the existence of GEI. The posterior means of direct heritability were 0.33±0.01 and 0.36±0.01 and maternal heritability of 0.21±0.01 and 0.19±0.01 for body weights at 120 and 210 days of age, respectively. For body weights at 365 and 450 days of age, posterior means of heritability varied along the environmental gradient, but the ranking of sires based on breeding values was not changed by different environmental gradients. All rank correlations were greater than 0.80, strongly suggesting a scale effect of GEI. Despite the evidence of GEI on post-weaning weight gain, it did not change the ranking of sires. Therefore, it did not have a relevant impact on the genetic evaluation of sires because they are robust to environmental changes. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-12 |
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://rsdjournal.org/index.php/rsd/article/view/21244 10.33448/rsd-v10i13.21244 |
url |
https://rsdjournal.org/index.php/rsd/article/view/21244 |
identifier_str_mv |
10.33448/rsd-v10i13.21244 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/21244/18908 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 13; e278101321244 Research, Society and Development; Vol. 10 Núm. 13; e278101321244 Research, Society and Development; v. 10 n. 13; e278101321244 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052692033437696 |