Abstract
A mathematical model of the lactation curve approximation provides summary information about dairy cattle production, which is useful in making management and breeding decisions and in simulating a dairy enterprise. Several nonlinear regression models have been developed during the past decades. Unfortunately, there is no unique algorithm in literature. The question of choosing the best function is brought up. We tested seven such models (Gaines, Nelder, Ning-Yang, Marek-Zelinkova, McMillan, Papajesic-Bodero, Wood) using milk yield data of more than 5 000 lactation cycles. Non-linear approximations showed high level of confidence in all models. Critical limitations of individual approaches are discussed using data of several individual cows with problematic approximations. We stress the limitations of individual—generally well-fitting—mathematical models at the level of individual animals. The best results were obtained with Wood, Nelder or Marek-Zelinkova models.
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Acknowledgments
We thank Zdenek Kovar from Zahori for his support and data preparation.
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Marek, J., Rajmon, R., Haloun, T. (2015). Critical Evaluation of Seven Lactation Curve Estimation Models. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_7
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DOI: https://doi.org/10.1007/978-3-319-21206-7_7
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