Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/54373
Título: Cattle reference growth curves based on centile estimation: a GAMLSS approach
Palavras-chave: Animal breeding
Hereford cattle
Multiphasic growth curve
Semi-parametric regression model
Statistical learning
Data do documento: Jan-2022
Editor: Elsevier
Citação: NAKAMURA, L. R. et al. Cattle reference growth curves based on centile estimation: a GAMLSS approach. Computers and Electronics in Agriculture, [S.l.], v. 192, p. 1-6, Jan. 2022. DOI: 10.1016/j.compag.2021.106572.
Resumo: In this paper we provide an alternative to create reference growth curves for female Hereford cattle breed based on the generalized additive models for location, scale and shape (GAMLSS) framework. The proposed methodology avoids some known problems present in the quantile regression, such as crossing quantiles and unsuitability in extreme centiles. Since GAMLSS are semi-parametric regression-type models, any statistical distribution can be considered to explain the behaviour of a given response variable (e.g., body weight) and we are able to model any and all of the parameters of the response variable distribution, it can easily deal with highly complex growth curves (e.g., presenting multiple cycles), heteroskedasticity and skewed data issues, commonly present in this field. We apply the abovementioned methodology, showing that the animal age directly affects median, variability and skewness characteristics of its growth curve. Finally, this approach may be applied in any other animal or plant growth, and it can be used as a powerful decision-making tool by producers.
URI: https://www.sciencedirect.com/science/article/pii/S0168169921005895
http://repositorio.ufla.br/jspui/handle/1/54373
Aparece nas coleções:DES - Artigos publicados em periódicos

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