Growth curves in beef cows of different biological types
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/9407 |
Resumo: | The objective of this study was to select the best growth curve model, and to evaluate the influence of environmental and genetic group effects on the estimated parameters of the model. Five nonlinear models, Brody, Gompertz, Logistic, Von Bertalanffy and Richards, were adjusted to age‑weight data measured in 316 cows, obtained from four genetic groups: G (Nellore, ½Canchim + ½Nellore, ½Angus + ½Nellore, and ½Simmental + ½Nellore), from birth to 100 months of age; in two calving seasons: E (spring and fall). The cows were submitted to two levels of concentrate (S) during four months, after weaning. The models were adjusted by ordinary least squares using inverse‑variance weighted and unweighted mass. The Brody and Von Bertalanffy models converged for all genetic groups; however, the Brody model had a better fit. Estimates for asymptotic weight (A) and maturing rate (k) of the weighted Brody model were analyzed by a mixed model, which included overall effect and fixed effects of G, E, and S, and respective interactions. Parameter A was influenced by the effects of G and E, while k was influenced by S, indicating that improvements in feeding management result in less variation in the shape of growth curves and in increased rates of maturity. |
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Growth curves in beef cows of different biological typesCurvas de crescimento em vacas de corte de diferentes tipos biológicoscrossbreeding; growth curves; heteroscedasticity; Brody model; feed supplementation; weighted variancecruzamento; curvas de crescimento; heterocedasticidade; modelo Brody; suplementação alimentar; variância ponderadaThe objective of this study was to select the best growth curve model, and to evaluate the influence of environmental and genetic group effects on the estimated parameters of the model. Five nonlinear models, Brody, Gompertz, Logistic, Von Bertalanffy and Richards, were adjusted to age‑weight data measured in 316 cows, obtained from four genetic groups: G (Nellore, ½Canchim + ½Nellore, ½Angus + ½Nellore, and ½Simmental + ½Nellore), from birth to 100 months of age; in two calving seasons: E (spring and fall). The cows were submitted to two levels of concentrate (S) during four months, after weaning. The models were adjusted by ordinary least squares using inverse‑variance weighted and unweighted mass. The Brody and Von Bertalanffy models converged for all genetic groups; however, the Brody model had a better fit. Estimates for asymptotic weight (A) and maturing rate (k) of the weighted Brody model were analyzed by a mixed model, which included overall effect and fixed effects of G, E, and S, and respective interactions. Parameter A was influenced by the effects of G and E, while k was influenced by S, indicating that improvements in feeding management result in less variation in the shape of growth curves and in increased rates of maturity.O objetivo deste trabalho foi selecionar o modelo de curvas de crescimento mais adequado e avaliar a influência de efeitos de ambiente e de grupo genético sobre os parâmetros estimados do modelo. Cinco modelos não lineares, Brody, Gompertz, Logístico, Von Bertalanffy e Richards, foram ajustados a dados de peso-idade coletados de 316 vacas, de quatro grupos genéticos: G (Nelore, ½Canchim + ½Nelore, ½Angus + ½Nelore e ½Simental + ½Nelore), do nascimento até 100 meses de idade; em duas estações do ano: E (primavera e outono). As vacas foram submetidas a dois níveis de concentrado (S) durante quatro meses, pós‑desmama. O ajuste dos modelos foi realizado por mínimos quadrados ordinários, usando os pesos ponderado e não ponderado pelo inverso da variância. Os modelos Brody e Von Bertalanffy convergiram para todos os grupos genéticos; porém, o Brody foi o mais adequado. As estimativas do peso assintótico (A) e da taxa de maturação (k) do modelo Brody ponderado pelo inverso da variância foram analisadas por modelo misto, que incluiu efeito médio global e efeitos principais de G, E e S, e suas interações. O parâmetro A foi influenciado pelo efeito de G e E, enquanto k foi influenciado por S, o que indica que melhorias no manejo alimentar resultam em menor variação na forma das curvas de crescimento e em altas taxas de maturação.Termos para indexação: cruzamento, curvas de crescimento, heterocedasticidade, modelo BPesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraFAPESPSilva, Fabiane de Limade Alencar, Maurício Mellode Freitas, Alfredo RibeiroPacker, Irineu UmbertoMourão, Gerson Barreto2011-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/9407Pesquisa Agropecuaria Brasileira; v.46, n.3, mar. 2011; 262-271Pesquisa Agropecuária Brasileira; v.46, n.3, mar. 2011; 262-2711678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/9407/6265https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9407/4622https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9407/4623info:eu-repo/semantics/openAccess2014-05-19T19:16:17Zoai:ojs.seer.sct.embrapa.br:article/9407Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2014-05-19T19:16:17Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Growth curves in beef cows of different biological types Curvas de crescimento em vacas de corte de diferentes tipos biológicos |
title |
Growth curves in beef cows of different biological types |
spellingShingle |
Growth curves in beef cows of different biological types Silva, Fabiane de Lima crossbreeding; growth curves; heteroscedasticity; Brody model; feed supplementation; weighted variance cruzamento; curvas de crescimento; heterocedasticidade; modelo Brody; suplementação alimentar; variância ponderada |
title_short |
Growth curves in beef cows of different biological types |
title_full |
Growth curves in beef cows of different biological types |
title_fullStr |
Growth curves in beef cows of different biological types |
title_full_unstemmed |
Growth curves in beef cows of different biological types |
title_sort |
Growth curves in beef cows of different biological types |
author |
Silva, Fabiane de Lima |
author_facet |
Silva, Fabiane de Lima de Alencar, Maurício Mello de Freitas, Alfredo Ribeiro Packer, Irineu Umberto Mourão, Gerson Barreto |
author_role |
author |
author2 |
de Alencar, Maurício Mello de Freitas, Alfredo Ribeiro Packer, Irineu Umberto Mourão, Gerson Barreto |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
FAPESP |
dc.contributor.author.fl_str_mv |
Silva, Fabiane de Lima de Alencar, Maurício Mello de Freitas, Alfredo Ribeiro Packer, Irineu Umberto Mourão, Gerson Barreto |
dc.subject.por.fl_str_mv |
crossbreeding; growth curves; heteroscedasticity; Brody model; feed supplementation; weighted variance cruzamento; curvas de crescimento; heterocedasticidade; modelo Brody; suplementação alimentar; variância ponderada |
topic |
crossbreeding; growth curves; heteroscedasticity; Brody model; feed supplementation; weighted variance cruzamento; curvas de crescimento; heterocedasticidade; modelo Brody; suplementação alimentar; variância ponderada |
description |
The objective of this study was to select the best growth curve model, and to evaluate the influence of environmental and genetic group effects on the estimated parameters of the model. Five nonlinear models, Brody, Gompertz, Logistic, Von Bertalanffy and Richards, were adjusted to age‑weight data measured in 316 cows, obtained from four genetic groups: G (Nellore, ½Canchim + ½Nellore, ½Angus + ½Nellore, and ½Simmental + ½Nellore), from birth to 100 months of age; in two calving seasons: E (spring and fall). The cows were submitted to two levels of concentrate (S) during four months, after weaning. The models were adjusted by ordinary least squares using inverse‑variance weighted and unweighted mass. The Brody and Von Bertalanffy models converged for all genetic groups; however, the Brody model had a better fit. Estimates for asymptotic weight (A) and maturing rate (k) of the weighted Brody model were analyzed by a mixed model, which included overall effect and fixed effects of G, E, and S, and respective interactions. Parameter A was influenced by the effects of G and E, while k was influenced by S, indicating that improvements in feeding management result in less variation in the shape of growth curves and in increased rates of maturity. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-06-01 |
dc.type.none.fl_str_mv |
|
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://seer.sct.embrapa.br/index.php/pab/article/view/9407 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/9407 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/9407/6265 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9407/4622 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/9407/4623 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.46, n.3, mar. 2011; 262-271 Pesquisa Agropecuária Brasileira; v.46, n.3, mar. 2011; 262-271 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416698053787648 |