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

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<sup>-1</sup> for body weight gain, 1.082 g d<sup>-1</sup> for protein, 1.242 g d<sup>-1</sup> for crude fat, and 0.162 g d<sup>-1</sup> 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.

Authors

Institutions

Publication Details

Journal
Poultry Science
Published
2026-01-30
DOI
https://doi.org/10.1016/j.psj.2026.106555
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Ana Carolina Müller Conti, Danilo Teixeira Cavalcante, Alencariano José da Silva Falcão, Lucas Nunes de Melo et al.
Poultry Science
Animal Nutrition and Physiology
article

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

Ana Carolina Müller Conti, Danilo Teixeira Cavalcante, Alencariano José da Silva Falcão, Lucas Nunes de Melo, Lucas Rannier Ribeiro Antonino Carvalho, William Pagliarim, Apolônio Gomes Ribeiro, Danilo Vargas Gonçalves Vieira, Jessica Lima Ribeiro, Matheus Ramalho Lima, Ricardo Romão Guerra, Fernando Guilherme Perazzo Costa, Venúcia de Diniella Santos Bourdon, Jorge Luiz Ribeiro da Silva
article en

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<sup>-1</sup> for body weight gain, 1.082 g d<sup>-1</sup> for protein, 1.242 g d<sup>-1</sup> for crude fat, and 0.162 g d<sup>-1</sup> 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.

Poultry ScienceVol. 105(4)
Universidade Federal da Paraíba (BR), Karolinska Institutet (SE), Universidade Federal do Tocantins (BR), Universidade Federal Rural de Pernambuco (BR), Fujikura (United States) (US), Universidade Federal Rural do Semi-Árido (BR)
Openalex Percentile: Top 68%
Animal Nutrition and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.