Milk Production Prediction of Dairy Goats Using Multiple Component Systems Models

To predict milk production in dairy goats using multiple component systems models, a homogenous group of 34 dairy goats within a commercial farm (Excamur, S.L.) was used. During 5 months lactation period body weight and dry matter intake were recorded and a multiple component system model was developed. The training models are characterized by an expanding set of management options such as feed intake, energy digestibility, locomotion energy expenditure and maintenance. Total milk yield during lactation by goat was simulated. Milk yield (MY) from a group of 10 goats (from literature) and the MY obtained at the present trial were used to validate the multiple component simulation models. An r of 0.93 was obtained between W observed and predicted with the multiple component system. Therefore, the multiple component simulation models at the present work are useful to predict W in Murciano-Granadina goat during lactation when total mixed ration was used to feed the animals.