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Growth Models of Female Dairy Cattle

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15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020) (SOCO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1268))

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Abstract

Different methods of representing animal growth are possible and are defined for different animal categories. In this paper, weight measuring of female dairy cattle will be modelled by several nonlinear models. The most commonly used methods for describing the growth of animals are: Gompertz function, logistic function, Schmalhausen function, Brody function, Weibull function, Wood function and Von Bertalanffy function. Measured weight values and estimated parameters of growth curves will be analyzed using regression analysis methods. We will work with the weight measurements of 10 calves under 25 months of age from cowsheds in village Záluží in the Czech Republic. A comparison of several growth curves will be done. The suitability of individual models will be evaluated not only by the index of determination, but also by the intrinsic curvature according to Bates and Watts. This curvature affects the size of the linearization areas in which initial solution will ensure convergence of nonlinear regression.

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Acknowledgement

This contribution has been supported by institutional support of the University of Pardubice, Czech Republic.

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Authors and Affiliations

  1. University of Pardubice, Studentská 95, Pardubice, Czech Republic

    Jaroslav Marek, Alena Pozdílková & Libor Kupka

Authors
  1. Jaroslav Marek
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  2. Alena Pozdílková
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  3. Libor Kupka
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Corresponding author

Correspondence to Jaroslav Marek .

Editor information

Editors and Affiliations

  1. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Álvaro Herrero

  2. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Carlos Cambra

  3. Grupo de Inteligencia Computacional Aplicada (GICAP), Departamento de Ingeniería Informática, Escuela Politécnica Superior, Universidad de Burgos, Burgos, Spain

    Daniel Urda

  4. Technological Institute of Castilla y León, Burgos, Spain

    Javier Sedano

  5. Department of Industrial Engineering, University of A Coruña, La Coruña, Spain

    Héctor Quintián

  6. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Marek, J., Pozdílková, A., Kupka, L. (2021). Growth Models of Female Dairy Cattle. In: Herrero, Á., Cambra, C., Urda, D., Sedano, J., Quintián, H., Corchado, E. (eds) 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020). SOCO 2020. Advances in Intelligent Systems and Computing, vol 1268. Springer, Cham. https://doi.org/10.1007/978-3-030-57802-2_26

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