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Mechanistic models are increasingly required in poultry nutrition to account for genetic progress, refine nutrient supply, and improve economic and environmental sustainability. This study presents MsChick (Model simulation for Chicken), a dynamic mechanistic model that simulates daily feed intake, growth, body composition, and selected carcass traits in broilers using a net energy (NE) and standardized ileal digestible amino acid (SID-AA) framework. Energy is partitioned first to maintenance and thermoregulation/activity, then to protein deposition, with remaining energy retained as lipid. Digestible amino acids are allocated to feathers, maintenance-related losses, and feather-free body protein deposition. A strain × sex phenotype is represented by four phenotypic parameters: mean potential feather-free body-protein deposition ( meanBPD ), precocity of feather-free body-protein deposition ( precBPD ), and estimated NE intake at 1 and 2 kg body weight ( NEI1 and NEI2 , respectively). Ad libitum intake is simulated from a body weight-dependent NE intake curve expressed relative to maintenance, whereas daily feed intake can be supplied directly; both modes enter the same nutrient-partitioning core. The model was calibrated to breeder performance objectives for Ross 308 and Cobb 500 males and females and evaluated against independent datasets including body-composition measurements and individual performance records. Following calibration, MsChick closely reproduced breeder body weight and daily feed-intake trajectories. In independent evaluation, agreement was strongest for body weight and body water, whereas lipid, feather weight, feather-free body protein, and ash showed greater uncertainty. Sensitivity analysis identified meanBPD as the principal lean-growth parameter, whereas FHPinit , the baseline fasting heat-production coefficient, influenced late-stage lipid deposition. MsChick provides an explicitly documented average-bird mechanistic framework in which phenotype, diet composition, and simulated or directly supplied intake can be interpreted through a common nutrient-partitioning structure. In the current version, internal partitioning variables should be interpreted as literature-informed, model-derived diagnostic indicators rather than direct physiological measurements.
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Dukhta et al. (2026) studied this question.
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