Growth pattern of Thai native chicken: Case study of Nin Kaset (Sart) black chicken and Betong (KU Line) chicken at 1–16 weeks of age
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Abstract
Background and Objective: Understanding chicken growth patterns is essential for effective production planning and management. This study aims to identify the best model explaining the growth patterns of Black Nil Kaset (Sart; NK) and Betong (KU Line; BT) chickens from 1 to 16 weeks of age.
Methodology: The weekly body weight data of NK (53 animals) and BT (40 animals) from 1 to 16 weeks of age were analyzed using the Gompertz nonlinear model, second-degree polynomial, and third-degree polynomial regression. Model selection criteria, including the smallest Akaike information criterion, corrected Akaike information criterion, Schwarz Bayesian information criterion, and -2log likelihood, were considered, and the model with the highest decision coefficient value was chosen.
Main Results: NK exhibited faster growth than BT up to week 14, after which BT surpassed in body weight at weeks 15–16, although the growth patterns did not significantly differ between the two groups (P > 0.05). The average residual error of the three models ranged from -72.40 ± 4.24 to 99.77 ± 89.45 g. The second-degree polynomial regression model was the most appropriate for explaining the growth pattern of both chicken breeds from 1 to 16 weeks of age.
Conclusions: There were no significant differences in growth patterns between NK and BT chickens from 1 to 16 weeks of age. This insight can inform age-specific feeding strategies, enhance production efficiency, and aid in developing accurate body weight estimation tools.
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