Data/hora: 12/06/2024 04:27:33

Biblioteca(s): | Embrapa Meio-Norte.
Data corrente: | 23/06/2020
Data da última atualização: | 11/12/2020
Autoria: | CAVALCANTE, D. H.; SOUSA JÚNIOR, S. C.; SILVA, L. P.; MALHADO, C. H. M.; MARTINS FILHO, R.; AZEVEDO, D. M. M. R.; CAMPELO, J. E. G.
Afiliação: | Diego Helcias Cavalcante, UFPI, Bom Jesus, PI.; Severino Cavalcante Sousa Júnior, UFPI, Parnaíba, PI; Luciano Pinheiro Silva, UFC, Fortaleza, CE; Carlos Henrique Mendes Malhado, UESB, Jequié, BA; Raimundo Martins Filho, UFCA, Juazeiro do Norte, CE; DANIELLE MARIA MACHADO R AZEVEDO, CPAMN; José Elivalto Guimarães Campelo, UFPI, Teresina, PI.
Título: | Fitting of fixed regression curves with different residual variance structures for Nellore cattle growth modeling.
Ano de publicação: | 2020
Fonte/Imprenta: | Semina: Ciências Agrárias, v. 41, n. 2, p. 545-558, mar./abr. 2020.
ISSN: | 1679-0359
DOI: | 10.5433/1679-0359.2020v41n2p545
Idioma: | Inglês
Conteúdo: | Different polynomial functions were tested for mean trajectory modeling with different residual variance structures. A total of 15,148 weight records of 3,115 Nellore Mocho cattle with ages between 1 and 660 days, raised in northern Brazil. First, the mean trajectory of cattle growth curve was fitted by a fixed regression using orthogonal polynomials with orders ranging from two to seven. Analyses were performed using the least-squares method, disregarding animal and/ or maternal random effects. Then, the best model was evaluated using different residual variance structures and homogeneous and heterogeneous classes. We considered as fixed effects those of groups of contemporary and of dam age at birth (as linear and quadratic covariate). The random model part included animal and maternal effects (direct genetic and permanent environments). We concluded that the estimates of variance components and genetic parameters were affected by both fixed regression curve polynomial order and residual variance structure. Moreover, random regression model considering an order-four polynomial function with a fixed curve and six-class residual variance showed better fits.
Palavras-Chave: | Curva média; Modelagem residual; Modelo linear.
Thesagro: | Parâmetro Genético; Regressão Linear.
Thesaurus Nal: | Linear models.
Categoria do assunto: | G Melhoramento Genético
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/214168/1/FittingFixedRegressionCurvesNelloreSemina2020.pdf
Registro original: | Embrapa Meio-Norte (CPAMN)
Exemplares: | CPAMN - (32979-1) - UPC - AP - DD -  -  -  - DIS