Predicting ad libitum dry matter intake and yields of Jersey cows

被引:52
作者
Holter, JB
West, JW
McGilliard, ML
Pell, AN
机构
[1] UNIV NEW HAMPSHIRE,DEPT ANIM & NUTR SCI,DURHAM,NH 03824
[2] UNIV GEORGIA,COASTAL PLAIN EXPT STN,DEPT ANIM SCI,TIFTON,GA 31793
[3] VIRGINIA POLYTECH INST & STATE UNIV,DEPT DAIRY SCI,BLACKSBURG,VA 24061
[4] CORNELL UNIV,DEPT ANIM SCI,ITHACA,NY 14853
关键词
intake prediction; Jersey; lactation; dry matter;
D O I
10.3168/jds.S0022-0302(96)76441-X
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
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 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 R(2) 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.
引用
收藏
页码:912 / 921
页数:10
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