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1 Department of Animal and Nutritional Sciences, University of New Hampshire, Durham 03824
2 Department of Animal Sciences, University of Georgia Coastal Plain Experiment Station, Tifton 31793
3 Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061
4 Department of Animal Science, Cornell University, Ithaca, NY 14853
Two data files were used that contained weekly mean values for ad libitum DMI of lactating Jersey cows along with appropriate cow, ration, and environmental traits for predicting DMI. One data file (n = 666) was used to develop prediction equations for DMI because that file represented a number of separate experiments and contained more diversity in potential predictors, especially those related to ration, such as forage type. The other data file (n = 1613) was used primarily to verify these equations. Milk protein yield displaced 4% FCM output as a prediction variable and improved the R2 by several units but was not used in the final equations, however, for the sake of simplicity. All equations contained adjustments for the effects of heat stress, parity (1 vs. >1), DIM >15, BW, use of recombinant bST, and other significant independent variables. Equations were developed to predict DMI of cows fed individually or in groups and to predict daily yields of 4% FCM and milk protein; equations accounted for 0.69, 0.74, 0.81, and 0.76 of the variation in the dependent variables with standard deviations of 1.7, 1.6, 2.7, and 0.084 kg/d, respectively. These equations should be applied to the development of software for computerized dairy ration balancing.
Key Words: intake prediction • Jersey • lactation • dry matter
Submitted on June 19, 1995
Accepted on January 5, 1996
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