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Article| Volume 79, ISSUE 5, P912-921, May 1996

Predicting Ad Libitum Dry Matter Intake and Yields of Jersey Cows1

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      Abstract

      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

      Abbreviation key:

      DOY (day of year), MINTHI (minimum (nighttime) THI), THI (temperature-humidity index)

      References

        • Armstrong D.V.
        Heat stress interaction with shade and cooling.
        J. Dairy Sci. 1994; 77: 2044
        • Brown C.A.
        • Chandler P.T.
        • Holter J.B.
        Development of predictive equations for milk yield and dry matter intake in lactating cows.
        J. Dairy Sci. 1977; 60: 1739
        • Fox D.G.
        • Sniffen C.J.
        • O’Connor J.D.
        • Russell J.B.
        • Van Soest P.J.
        A net carbohydrate and protein system for evaluating cattle diets: III. Cattle requirements and diet adequacy.
        J. Anim. Sci. 1992; 70: 3578
        • Harlan D.W.
        • Holter J.B.
        • Hayes H.H.
        Detergent fiber traits to predict productive energy of forages fed free choice to nonlactating dairy cattle.
        J. Dairy Sci. 1991; 74: 1337
        • Holter J.B.
        • Hylton W.E.
        • Smith C.B.
        • Urban Jr, W.E.
        Reducing concentrate feeding for lactating dairy cows.
        J. Dairy Sci. 1982; 65: 37
        • Holter J.B.
        • McGilliard M.L.
        • Tremblay A.C.
        • Murray R.A.
        Innovative computerized ration balancing for lactating dairy cows fed 1 or 2 grains individually.
        J. Dairy Sci. 1985; 68 (Abstr.): 231
        • Kelly C.F.
        • Bond T.E.
        Bioclimatic factors and their measurement.
        A Guide to Environmental Research on Animals. Natl. Acad. Sci., Washington, DC1971 (Page 7)
        • Kertz A.F.
        • Reutzel L.F.
        • Thomson G.M.
        Dry matter intake from parturition to midlactation.
        J. Dairy Sci. 1991; 74: 2290
        • Murphy M.R.
        Water metabolism in dairy cattle.
        J. Dairy Sci. 1992; 75: 326
        • National Research Council
        Predicting Feed Intake of Food-producing Animals.
        Natl. Acad. Press, Washington, DC1987
        • National Research Council
        Nutrient Requirements of Dairy Cattle.
        6th rev. ed. Natl. Acad. Sci., Washington, DC1989
        • Pell A.N.
        • Tsang D.S.
        • Howlett B.A.
        • Huyler M.T.
        • Meserole V.K.
        • Samuels W.A.
        • Hartnell G.F.
        • Hintz R.L.
        Effects of a prolonged-release formulation of Sometribove (n-methionyl bovine somatotropin) on Jersey cows.
        J. Dairy Sci. 1992; 75: 3416
        • Plegge S.D.
        • Goodrich R.D.
        Intake equations for feedlot cattle.
        in: Proc. Symp. Feed Intake by Beef Cattle, Oklahoma State Univ., Stillwater1986: 23
        • Rayburn E.B.
        • Fox D.G.
        Variation in neutral detergent fiber intake of Holstein cows.
        J. Dairy Sci. 1993; 76: 544
        • Roseler D.K.
        • Fox D.G.
        • Chase L.E.
        • Stone W.C.
        Feed intake prediction and diagnosis in dairy cows.
        in: Proc. Cornell Nutr. Conf. Feed Manuf., Rochester. NY. Cornell Univ., Ithaca, NY1993: 216
      1. SAS® User's Guide: Statistics, Version 5 Edition. 1985. SAS Inst., Inc., Cary, NC.

        • Weidner S.J.
        • Grant R.J.
        Soyhulls as a replacement for forage fiber in diets for lactating dairy cows.
        J. Dairy Sci. 1994; 77: 513
        • Weiss W.P.
        Estimating dry matter intake.
        in: Proc. Ohio Dairy Nutr. Conf., Wooster. Ohio State Univ., Columbus1991: 9
        • West J.W.
        • Ely L.O.
        • Martin S.A.
        Wet brewers grains for lactating dairy cows during hot, humid weather.
        J. Dairy Sci. 1994; 77: 196
        • West J.W.
        • Mullinix B.G.
        • Johnson Jr., J.C.
        • Ash K.A.
        • Taylor V.N.
        Effects of bovine somatotropin on dry matter intake, milk yield, and body temperature in Holstein and Jersey cows during heat stress.
        J. Dairy Sci. 1990; 73: 2896
        • West J.W.
        • Mullinix B.G.
        • Sandifer T.G.
        Changing dietary electrolyte balance for dairy cows in cool and hot environments.
        J. Dairy Sci. 1991; 74: 1662