Models to predict feed intake
In: Voluntary feed intake in pigsSearch for other papers by J.L. Black in
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The value of being able to predict intake of an animal under a wide range of conditions has been recognised for many years because it is one of the primary determinants of growth rate, efficiency of feed use and body composition in animals. The complexity of the interactions between factors known to affect intake means that computer simulation techniques provide a robust approach for predicting intake of pigs under a wide range of animal, dietary and environmental conditions. The philosophy and techniques used for model development and evaluation are discussed briefly. Several conceptual approaches for modelling feed intake in pigs are evaluated including: algorithms fitted statistically to experimental results; potential intake limited by various constraints; maximum efficiency of oxygen utilisation; minimal total discomfort; and short-term meal eating based on nutrient fluxes and gastrointestinal tract distension. Several of the approaches have either been discredited or require considerable more development before they could be used to predict accurately feed intake of pigs under a wide range of environments encountered in commercial pig units. The ‘potential-constraint’ concept is the most highly developed, and despite several deficiencies, has been demonstrated to predict intake of pigs under many different circumstances. The major components of the ‘potentialconstraint’ models are described, including: methods for defining potential energy intake based on genotype, live weight, maintenance energy requirement and activity; the impact of essential nutrient deficiencies; limitations caused by gastrointestinal tract capacity; cold and hot climates; number of pigs in a pen; stocking density; feeder-space; and disease. Several factors known to affect intake of pigs have not yet been modelled adequately, including: impact of poor air quality; effects of mycotoxins, antinutritional factors and taste aversion; rate of passage of digesta and gastrointestinal tract volume; and the impact of diseases found commonly in commercial pig units.