PHYSICAL CONSTRAINTS ON VOLUNTARY INTAKE OF FORAGES BY RUMINANTS

Authors
Citation
Ms. Allen, PHYSICAL CONSTRAINTS ON VOLUNTARY INTAKE OF FORAGES BY RUMINANTS, Journal of animal science, 74(12), 1996, pp. 3063-3075
Citations number
126
Categorie Soggetti
Agriculture Dairy & AnumalScience
Journal title
ISSN journal
00218812
Volume
74
Issue
12
Year of publication
1996
Pages
3063 - 3075
Database
ISI
SICI code
0021-8812(1996)74:12<3063:PCOVIO>2.0.ZU;2-6
Abstract
Voluntary dry matter intake (VDMI) of forages by ruminants may be limi ted by distention resulting from restricted now of digesta through the gastrointestinal tract. An animal's capacity for fill depends on the weight and volume of digesta that causes distention and the flow rate of digesta from the organ in which distention occurs. The reticulorume n is generally regarded as the site in the gastrointestinal tract for which distention limits VDMI with high-fill diets, although evidence s uggests that distention of the abomasum may also limit VDMI. Linear de creases in VDMI have been noted with increasing amounts of inert fill inserted into the reticulorumen, but results have not been consistent across several experiments. Reduction in VDMI depends on the extent to which intake is limited by fill before insertion of inert fill; hence animals with high energy requirements consuming relatively low-energy , high-fill diets are affected to the greatest extent. Because NDF gen erally ferments and passes from the reticulorumen more slowly than oth er dietary constituents, it has a greater filling effect over time tha n non-fibrous feed components and has been found to be the best single chemical predictor of VDMI. However, many other factors affect fill, including particle size, chewing frequency and effectiveness, particle fragility, indigestible NDF fraction, rate of fermentation of the pot entially digestible NDF, and characteristics of reticular contractions . These factors are only partially accounted for in models that have b een developed to predict VDMI. Increased accuracy of prediction of VDM I is expected as models continue to evolve.