Predicting voluntary forage intake in cattle

K-REx Repository

Show simple item record

dc.contributor.author Bandyk, C.A.
dc.contributor.author Cochran, R.C.
dc.date.accessioned 2010-08-24T19:14:04Z
dc.date.available 2010-08-24T19:14:04Z
dc.date.issued 2010-08-24T19:14:04Z
dc.identifier.uri http://hdl.handle.net/2097/4749
dc.description.abstract A large database was compiled of forage intake observations published during the past 20 years. Inputs included a wide range of factors believed to be related to voluntary intake. An analysis was designed to pinpoint which feed and animal characteristics were most valuable in predicting voluntary intake across a range of feeding situations and to compare the ability of different models to predict intake. Results emphasized the complexity of intake prediction. A wide range was evident in the variables included in the optimal models for predicting intake within different data subsets. In many cases, we observed that ratios between feed values (e.g., forage acid detergent fiber:forage crude protein) were more useful in predicting intake than the measures themselves. en_US
dc.publisher Kansas State University. Agricultural Experiment Station and Cooperative Extension Service en_US
dc.relation.isPartOf Kansas Agricultural Experiment Station contribution; no. 97-309-S en_US
dc.relation.isPartOf Report of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 804 en_US
dc.relation.isPartOf Cattlemen's Day, 1998 en_US
dc.subject Beef en_US
dc.subject Forage intake en_US
dc.subject Multiple regression en_US
dc.subject Prediction models en_US
dc.title Predicting voluntary forage intake in cattle en_US
dc.type Conference paper en_US
dc.date.published 1998 en_US
dc.citation.epage 24 en_US
dc.citation.spage 22 en_US
dc.description.conference Cattlemen's Day, 1998, Kansas State University, Manhattan, KS, March 6, 1998 en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search K-REx


Advanced Search

Browse

My Account

Statistics








Center for the

Advancement of Digital

Scholarship

118 Hale Library

Manhattan KS 66506


(785) 532-7444

cads@k-state.edu