Nonlinear growth and body nutrient deposition models in Japanese quail (coturnix japonica) from 1-36 d

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Authors: Danilo Vargas Gonçalves Vieira, Jessica Lima Ribeiro, Jorge Luiz Ribeiro da Silva, William Pagliarim, Ana Carolina Müller Conti, Alencariano José da Silva Falcão, Venúcia de Diniella Santos Bourdon, Adiel Vieira de Lima, Matheus Ramalho de Lima, Apolônio Gomes Ribeiro, Ricardo Romão Guerra, Danilo Teixeira Cavalcante
+2 more Lucas Rannier Ribeiro Antonino Carvalho, Fernando Guilherme Perazzo Costa
Cited by: 1
References: 35

Abstract

Growth curves are key tools for developing and evaluating new feeding programs. This study aimed to evaluate five nonlinear models (Brody, von Bertalanffy, Gompertz, Logistic, and Richards) to describe growth and understand nutrient deposition dynamics in female Japanese quail from 1 to 36 d of age. A total of 225 quail were reared with ad libitum access to feed and water. Every three d, quail were weighed, and one group was fasted for 12 h and slaughtered to determine body protein, fat, and ash contents. Model accuracy was assessed using R², Akaike (AIC), Bayesian (BIC) information criteria, and the Asymptotic Index (AI), ΔAIC, ΔBIC, and by evaluation of biological plausibility. The Gompertz model best fitted body weight and ash deposition, the Logistic model best described crude protein deposition, and the Richards model was selected for fat deposition. Observed and predicted values showed high agreement, with mean bias within ±0.5 g for all traits except fat (-0.73 g). The predicted maximum daily deposition rates were 4.86 g d -1 for body weight gain, 1.082 g d -1 for protein, 1.242 g d -1 for crude fat, and 0.162 g d -1 for crude ash. Curve overlap indicated the highest growth rate at 16 d, the peak of protein deposition at 18 d, and continuous fat deposition until 35 d. These findings suggest that current feeding programs should be divided into three phases: 1-18, 19-29, and 30-36 d, optimizing nutrient use, growth efficiency, and productive longevity.

Fields of Study & Subjects

Animal Nutrition and Physiology Rabbits: Nutrition Reproduction Health Livestock and Poultry Management

Publication details

Journal / source
Poultry Science
Publisher
Elsevier BV
Volume
105
Issue
4
Pages
106555–106555
Publication date
30 January 2026
Language
EN