ArticleVeterinary and animal science2020
The growth of domestic goats and sheep: A meta study with Bertalanffy-Pütter models.
Article in Veterinary and animal science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A general Richards family growth curve fit in European livestock for use in physiologically-based toxicokinetic modelling.BMC veterinary research · 2025Article
- Comparison of Nonlinear Growth Models to Estimate Growth Curves in Kivircik Sheep under a Semi-Intensive Production System.Animals : an open access journal from MDPI · 2023Article
- Modelling the growth curve and estimation of associated genetic parameters in Munjal sheep.Tropical animal health and production · 2023Article
- Growth curve analysis in different generations of Boer x Central Highland goats using alternative estimation models.PloS one · 2023Article
- Bertalanffy-Pütter models for avian growth.PloS one · 2021Article
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2 authors.
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Abstract
Growth literature often uses the Brody, Gompertz, Verhulst, and von Bertalanffy models. Is there a rationale for the preference of these classical named models? The versatile five-parameter Bertalanffy-Pütter (BP) model generalizes these models. We revisited peer-reviewed publications from the years 1970-2019 that fitted growth models to together 122 mass-at-age data of sheep and goats from 19 countries and studied the best-fit BP-models using the least-squares method. None of the named models was ever best-fitting. However, for 70% of the data a single non-sigmoidal model had an acceptable fit (normalized root mean squared error 〈 5% and F-ratio test 〉 5% in comparison to the best-fit): the Brody model. The inherently non-sigmoidal character was further underlined, as there were only 39% of the data, where the best-fitting BP-model had a discernible inflection point. For these data, conclusions of biological interest could be drawn from the sigmoidal best-fit BP-models: the maximal weight gain per day was about 55% higher than the natal weight gain per day.
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