Growth curves in beef cows of different biological types

Detalhes bibliográficos
Autor(a) principal: Silva, Fabiane de Lima
Data de Publicação: 2011
Outros Autores: de Alencar, Maurício Mello, de Freitas, Alfredo Ribeiro, Packer, Irineu Umberto, Mourão, Gerson Barreto
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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spelling 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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