A mechanistic model for predicting intake of forage diets by ruminants.

Approaches to the Level and Quality of Forage in Feedlot Diets for Lambs

Diets with low forage concentration may depress feed intake and average daily gain, while diets with high forage concentration may limit feed intake due to rumen filling. Adequate forage level may range from 7% to 14% in ration for feedlot lambs, depending on forage source and ingredient composition. Small amounts of good quality forage may improve growth performance of sheep in the first stage...

Predicting intake and digestibility using mathematical models of ruminal function.

Intake and digestibility of feeds by ruminants are influenced by characteristics of the feed, animal and feeding situation. Integration of these characteristics in mathematical models is critical to future progress in forage evaluation and optimal formulation of diets for ruminants. The physiological and physical theories of intake regulation can be described by simple mathematical equations. T...

Predicting Forage Intake by Grazing Beef Cows

The control of feed intake by ruminants is complex, and developing a cohesive theory of intake control in ruminants continues to be a challenge. Because our understanding of factors that regulate intake by cattle is inadequate, predicting feed intake, even under the best of circumstances, is difficult. In grazing cattle, this difficulty is exacerbated by additional influences that can sway basi...

Comparative intake and digestibility among ruminant species fed forage-based diets

The allometry of patch selection in ruminants.

An axiomatic feature of food consumption by animals is that intake rate and prey abundance are positively related. While this has been demonstrated rigorously for large herbivores, it is apparent from patch selection trials that grazers paradoxically tend to prefer short, sparse swards to tall, dense swards. Indeed, migratory herbivores often shift from areas of high to low sward biomass during...