data transformation; isotonization; non-linear models
Abstract :
[en] The objective of this study was to apply data transformation via isotonic regression in growth curves studies of Guzerá cattle whose data presented disturbances characterized by decreased body weight in certain age groups. Weightage data were collected on newly weaned Guzerá males according to the methodology of weight gain tests (WGT) defined by the Brazilian Association of Zebu Breeders (ABCZ). The Logistic, Von Bertalanffy and Gompertz models were fitted to weight-age data using the generalized least squares method for non-linear regression models through the Gauss-Newton algorithm. The proposed transformation based on isotonic regression theory proved to be efficient; and the Logistic model was the best to describe the growth of animals, with a high percentage of convergence (100%) and goodness of fit assessed by the mean squared error (MSE) and the coefficient of determination (R2).
Disciplines :
Animal production & animal husbandry
Author, co-author :
Rodrigues, Adriano
Monteiro Chaves, Lucas
Fonseca e Silva, Fabyano
Pereira Garcia, Idalmo
Souza Duarte, Darlene Ana ; Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition
Torres Ventura, Henrique
Language :
English
Title :
Isotonic regression analysis of Guzerá cattle growth curves
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Bibliography
Barlow RE, Bartholomew DJ, Bremner JM & Brunk HD (1972) Statistical inference under order restrictions: the theory and application of isotonic regression. London, John Wiley. 388p
Gunn LH & Dunson DB (2005) A transformation approach for incorporating monotone or unimodal constraints. Biostatistics, 3:434-449
Hussian M, Grimvall A, Burdakov O & Sysoev O (2004) Monotonic regression for assessment of trends in environmental quality data. In: European Congress on Computational Methods in Applied Sciences and Engineering, Jyvãskylã. Proceedings, Eccomas. p. 24-28
Mendes PN, Muniz JA, Silva FF, Mazzini ARA & Silva NAM (2009) Análise da curva de crescimento difásica de fêmeas Hereford por meio da função não-linear de Gompertz. Ciência Animal Brasileira, 10:454-461
Perotto D, Castanho MJPC, Rocha JL & Pinto JM (1997) Descrição das curvas de crescimento de fêmeas bovinas guzerá, Gir, holandês x guzerá e holandês x gir. Revista Brasileira de Zootecnia, 2:283-288
R development core team (2015) R: a language and environment for statistical computing. Viena, R Foundation for Statistical Computing. Disponível em: http://www.R-project.org. Acessado em: 25 de junho de 2010
Ramsay JO (1998) Estimating smooth monotone functions. Royal Statistical Society, 2:365-375
Rodrigues A, Chaves LM, Silva FF & Zeviani WM (2010) Utilização da regressão isotônica em estudos de curvas de crescimento. Revista Brasileira de Biometria, 28:85-101
Silveira FG, Silva FF, Carneiro PLS, Malhado CHM & Muniz JA (2011) Análise de agrupamento na seleção de modelos de regressão não-lineares para curvas de crescimento de ovinos cruzados. Ciência Rural, 41:692-698
Tedeschi LO, Boin C, Nardon RF & Leme PR (2000) Estudo da curva de crescimento de animais da raça Guzerá e seus cruzamentos alimentados a pasto, com e sem suplementação: avaliação dos parâmetros da curva de crescimento. Revista Brasileira de Zootecnia, 5:1578-1587
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