Predicting voluntary forage intake in cattle

dc.citation.epage24en_US
dc.citation.spage22en_US
dc.contributor.authorBandyk, C.A.
dc.contributor.authorCochran, R.C.
dc.date.accessioned2010-08-24T19:14:04Z
dc.date.available2010-08-24T19:14:04Z
dc.date.issued2010-08-24T19:14:04Z
dc.date.published1998en_US
dc.description.abstractA 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.description.conferenceCattlemen's Day, 1998, Kansas State University, Manhattan, KS, March 6, 1998en_US
dc.identifier.urihttp://hdl.handle.net/2097/4749
dc.publisherKansas State University. Agricultural Experiment Station and Cooperative Extension Serviceen_US
dc.relation.isPartOfKansas Agricultural Experiment Station contribution; no. 97-309-Sen_US
dc.relation.isPartOfReport of progress (Kansas State University. Agricultural Experiment Station and Cooperative Extension Service); 804en_US
dc.relation.isPartOfCattlemen's Day, 1998en_US
dc.subjectBeefen_US
dc.subjectForage intakeen_US
dc.subjectMultiple regressionen_US
dc.subjectPrediction modelsen_US
dc.titlePredicting voluntary forage intake in cattleen_US
dc.typeConference paperen_US

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