ArticleTropical animal health and production2026
Comparison of data mining algorithms and regression method for prediction of live body weight using biometric traits of non-descript indigenous chickens.
Article in Tropical animal health and production, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The study aimed to investigate the relationship between live body weight and biometric traits, and to estimate live body weight from biometric traits of non-descript indigenous chickens. A total of 400 non-descript indigenous chickens (113 males and 287 females) were randomly selected from a multi-stage purposive sampling procedure following a cross-sectional study design. Live body weight (LBW), body length (BL), beak length (BKL), shank length (SL), shank circumference (SC), and comb height (CH) were measured. Data was analysed using Pearson's correlation, CHAID, CART, and stepwise linear regression. Correlation results revealed that LBW of males had a positive and high correlation (P < 0.01) with BL (r = 0.63), and LBW of females had a significant positive correlation (P < 0.01) with SC (r = 0.45). Regression results showed that for males, model combining BL, BKL, CH and SC (R
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