책임운영기관 농촌진흥청 국립축산과학원 (로고)

This study aimed to evaluate the ability of nutrient intake to predict body size and weight in castrated Hanwoo steers. The study was conducted from 2019 to 2022 and involved 45 castrated Hanwoo cattle. Individual feed intake data were collected using ICT (Information and Communications Technology) equipment and converted into nutrient intake values. Body weights and various body size traits were measured monthly. Predictive models were developed using artificial neural network algorithms. Of the predictive models based on body size traits, chest height demonstrated the highest predictive accuracy, underscoring the significance of the relationship between nutrient intake and chest girth. Notably, chest girth, which is commonly used to predict body weight, was strongly correlated with average daily gain at various growth stages. The derived weight prediction model, based on body size traits as independent variables, achieved an R-squared value of 0.98, indicating high predictability. These results suggest that it is possible to forecast body weight based on monthly nutrient intakes on farms. This derived model could be used to better predict body weights in research areas utilizing smart farms, image data, and video information.