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e-Cow: an animal model that predicts herbage intake, milk yield and live weight change in dairy cows grazing temperate pastures, with and without supplementary feeding

Published online by Cambridge University Press:  06 December 2011

J. Baudracco ,
N. Lopez-Villalobos ,
C. W. Holmes ,
E. A. Comeron ,
K. A. Macdonald ,
T. N. Barry  and
N. C. Friggens
J. Baudracco*
Affiliation:
Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North 5301, New Zealand Facultad de Ciencias Agrarias, Universidad Nacional del Litoral, Kreder 2805, (3080) Esperanza, Santa Fe, Argentina
N. Lopez-Villalobos
Affiliation:
Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North 5301, New Zealand
C. W. Holmes
Affiliation:
Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North 5301, New Zealand
E. A. Comeron
Affiliation:
Instituto Nacional de Tecnología Agropecuaria (INTA), AIPA, Ruta 34 Km 227, (2300) Rafaela, Santa Fe, Argentina
K. A. Macdonald
Affiliation:
DairyNZ, Private Bag 3221, Hamilton 3240, New Zealand
T. N. Barry
Affiliation:
Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11-222, Palmerston North 5301, New Zealand
N. C. Friggens
Affiliation:
INRA, UMR 791 Modélisation Systémique Appliquée aux Ruminants, 16 rue Claude Bernard, 75231 Paris, France AgroParisTech, UMR 791 Modélisation Systémique Appliquée aux Ruminants, 16 rue Claude Bernard, 75231 Paris, France
*
†E-mail: [email protected]; [email protected]
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Abstract

This animal simulation model, named e-Cow, represents a single dairy cow at grazing. The model integrates algorithms from three previously published models: a model that predicts herbage dry matter (DM) intake by grazing dairy cows, a mammary gland model that predicts potential milk yield and a body lipid model that predicts genetically driven live weight (LW) and body condition score (BCS). Both nutritional and genetic drives are accounted for in the prediction of energy intake and its partitioning. The main inputs are herbage allowance (HA; kg DM offered/cow per day), metabolisable energy and NDF concentrations in herbage and supplements, supplements offered (kg DM/cow per day), type of pasture (ryegrass or lucerne), days in milk, days pregnant, lactation number, BCS and LW at calving, breed or strain of cow and genetic merit, that is, potential yields of milk, fat and protein. Separate equations are used to predict herbage intake, depending on the cutting heights at which HA is expressed. The e-Cow model is written in Visual Basic programming language within Microsoft Excel®. The model predicts whole-lactation performance of dairy cows on a daily basis, and the main outputs are the daily and annual DM intake, milk yield and changes in BCS and LW. In the e-Cow model, neither herbage DM intake nor milk yield or LW change are needed as inputs; instead, they are predicted by the e-Cow model. The e-Cow model was validated against experimental data for Holstein–Friesian cows with both North American (NA) and New Zealand (NZ) genetics grazing ryegrass-based pastures, with or without supplementary feeding and for three complete lactations, divided into weekly periods. The model was able to predict animal performance with satisfactory accuracy, with concordance correlation coefficients of 0.81, 0.76 and 0.62 for herbage DM intake, milk yield and LW change, respectively. Simulations performed with the model showed that it is sensitive to genotype by feeding environment interactions. The e-Cow model tended to overestimate the milk yield of NA genotype cows at low milk yields, while it underestimated the milk yield of NZ genotype cows at high milk yields. The approach used to define the potential milk yield of the cow and equations used to predict herbage DM intake make the model applicable for predictions in countries with temperate pastures.

Keywords

dairy cowgrazingmilk yieldbody lipid reservesmodel
Type
Full Paper
Information
animal , Volume 6 , Issue 6 , June 2012 , pp. 980 - 993
Copyright
Copyright © The Animal Consortium 2011

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