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Biblioteca(s): 
Embrapa Gado de Leite. 
Data corrente: 
14/01/2019 
Data da última atualização: 
24/01/2023 
Tipo da produção científica: 
Artigo em Periódico Indexado 
Autoria: 
AZEVEDO JUNIOR, J.; GONÇALVES, T. de M.; SOUZA, J. C. de; RODRIGUEZ, M. A. P.; COSTA, C. N.; CARVALHEIRA, J. G. V. 
Afiliação: 
Jairo Azevedo Junior, UFLA; Tarcisio de Moraes Gonçalves, UFLA; José Camisão de Souza, UFLA; Mary Ana Petersen Rodriguez, Universidade Estadual de Montes Claros; CLAUDIO NAPOLIS COSTA, CNPGL; Julio Gil Vale Carvalheira, Universidade do Porto, Portugal. 
Título: 
Adjustment of lactation curves of Holstein cows from herds of Minas Gerais, Brazil. 
Ano de publicação: 
2018 
Fonte/Imprenta: 
Journal of Agricultural Science, v. 10, n. 2, 2018. 
Páginas: 
14 p. 
DOI: 
10.5539/jas.v10n2p1 
Idioma: 
Inglês 
Conteúdo: 
Abstract
Random regression models (RRM) differ in terms of the functions used to describe the shape of lactation curves. The aim was to compare random regression models under different functions to describe the lactation curves from Holstein cows in herds of the state of Minas Gerais. A database of 28,118 production records was analyzed using the testday records of 4,230 first parity cows from five herds. The Wilmink, Ali & Schaeffer and Legendre polynomial (orders 4, 5 and 6) functions were adjusted in RRM to model the mean production trend (fixed) and genetic and permanent environmental (random) effects. The residual variances were assumed to be constant throughout lactation. Analyses were performed using the AIREMLF90 program. Except for the model with the polynomial function of order 5, all models converged. The Wilmink function showed lower values for criteria based on the 2log (L), AIC and BIC. The model with the Legendre polynomial of order 6 showed lower residual variance. Heritability estimates were similar between functions, ranging from 0.07 to 0.18 and were higher from 215 days of lactation. From 155 days of lactation, genetic and permanent environmental correlations between successive controls are of high magnitude. The Wilmink function is the most suitable for the study of milk yields from primiparous Holstein cows. The selection of animals is possible from 155 days of lactation on. Permanent environmental effects have greater influence on the milk production at the end of lactation of primiparous cows and should be considered since they are important and may be cumulative throughout lactation. MenosAbstract
Random regression models (RRM) differ in terms of the functions used to describe the shape of lactation curves. The aim was to compare random regression models under different functions to describe the lactation curves from Holstein cows in herds of the state of Minas Gerais. A database of 28,118 production records was analyzed using the testday records of 4,230 first parity cows from five herds. The Wilmink, Ali & Schaeffer and Legendre polynomial (orders 4, 5 and 6) functions were adjusted in RRM to model the mean production trend (fixed) and genetic and permanent environmental (random) effects. The residual variances were assumed to be constant throughout lactation. Analyses were performed using the AIREMLF90 program. Except for the model with the polynomial function of order 5, all models converged. The Wilmink function showed lower values for criteria based on the 2log (L), AIC and BIC. The model with the Legendre polynomial of order 6 showed lower residual variance. Heritability estimates were similar between functions, ranging from 0.07 to 0.18 and were higher from 215 days of lactation. From 155 days of lactation, genetic and permanent environmental correlations between successive controls are of high magnitude. The Wilmink function is the most suitable for the study of milk yields from primiparous Holstein cows. The selection of animals is possible from 155 days of lactation on. Permanent environmental effects have greater influence on the milk production... Mostrar Tudo 
PalavrasChave: 
Models comparison; Permanent environmental effects; Random regression model. 
Thesaurus Nal: 
Dairy cattle; Heritability. 
Categoria do assunto: 
L Ciência Animal e Produtos de Origem Animal 
URL: 
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190401/1/ArtigoJAgrSciClaudioAdjustment.pdf

Marc: 
LEADER 02438naa a2200265 a 4500 001 2103873 005 20230124 008 2018 bl uuuu u00u1 u #d 024 7 $a10.5539/jas.v10n2p1$2DOI 100 1 $aAZEVEDO JUNIOR, J. 245 $aAdjustment of lactation curves of Holstein cows from herds of Minas Gerais, Brazil.$h[electronic resource] 260 $c2018 300 $a14 p. 520 $aAbstract Random regression models (RRM) differ in terms of the functions used to describe the shape of lactation curves. The aim was to compare random regression models under different functions to describe the lactation curves from Holstein cows in herds of the state of Minas Gerais. A database of 28,118 production records was analyzed using the testday records of 4,230 first parity cows from five herds. The Wilmink, Ali & Schaeffer and Legendre polynomial (orders 4, 5 and 6) functions were adjusted in RRM to model the mean production trend (fixed) and genetic and permanent environmental (random) effects. The residual variances were assumed to be constant throughout lactation. Analyses were performed using the AIREMLF90 program. Except for the model with the polynomial function of order 5, all models converged. The Wilmink function showed lower values for criteria based on the 2log (L), AIC and BIC. The model with the Legendre polynomial of order 6 showed lower residual variance. Heritability estimates were similar between functions, ranging from 0.07 to 0.18 and were higher from 215 days of lactation. From 155 days of lactation, genetic and permanent environmental correlations between successive controls are of high magnitude. The Wilmink function is the most suitable for the study of milk yields from primiparous Holstein cows. The selection of animals is possible from 155 days of lactation on. Permanent environmental effects have greater influence on the milk production at the end of lactation of primiparous cows and should be considered since they are important and may be cumulative throughout lactation. 650 $aDairy cattle 650 $aHeritability 653 $aModels comparison 653 $aPermanent environmental effects 653 $aRandom regression model 700 1 $aGONÇALVES, T. de M. 700 1 $aSOUZA, J. C. de 700 1 $aRODRIGUEZ, M. A. P. 700 1 $aCOSTA, C. N. 700 1 $aCARVALHEIRA, J. G. V. 773 $tJournal of Agricultural Science$gv. 10, n. 2, 2018.
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Embrapa Gado de Leite (CNPGL) 

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1.   AZEVEDO JUNIOR, J.; GONÇALVES, T. de M.; SOUZA, J. C. de; RODRIGUEZ, M. A. P.; COSTA, C. N.; CARVALHEIRA, J. G. V. Adjustment of lactation curves of Holstein cows from herds of Minas Gerais, Brazil. Journal of Agricultural Science, v. 10, n. 2, 2018. 14 p.Tipo: Artigo em Periódico Indexado  Circulação/Nível: B  1 
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