|
|
||||||||

* Department of Dairy Science University of Wisconsin, Madison 53706
Interbull Centre, Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, S-570 07 Uppsala, Sweden
Corresponding author:
Nate Zwald; e-mail:
nrzwald{at}calshp.cals.wisc.edu.
Currently, the International Bull Evaluation Service calculates international dairy sire evaluations using the multiple-trait across country evaluation procedure. This method depends implicitly on political boundaries between countries, because the input data are national evaluations from each participating country. Therefore, different countries are treated as different production environments. The goal of this study was to identify factors that describe the production system on each farm. Such factors could be used to group herds across countries for borderless genetic evaluations. First lactation milk records of Holstein cows calving between January 1, 1990 and December 31, 1997 in Australia, Austria, Belgium, Canada, Czech Republic, Estonia, Finland, Germany, Hungary, Ireland, Israel, Italy, The Netherlands, New Zealand, South Africa, Switzerland, and the USA were used in this study. Thirteen genetic, management, and climatic variables were considered as potential indicators of production environments: peak milk yield, persistency, herd size, age at first calving, seasonality of calving, standard deviation of milk yield, culling rate, days to peak yield, fat to protein ratio, sire PTA milk, percentage of North American Holstein genes, maximum monthly temperature, and annual rainfall. Herds were grouped into quintiles based on herd averages for each of these variables. Genetic correlations for lactation milk yield between quintiles were significantly less than one for maximum monthly temperature, sire PTA milk, percent North American Holstein genes, herd size, and peak milk yield. The variables can be used to group herds into similar production environments, regardless of country borders, for the purpose of accounting for genotype by environment interaction in international dairy sire evaluation.
Key Words: international evaluation genotype by environment interaction production systems)
Abbreviation key: Interbull = International Bull Evaluation Service, MACE = multiple-trait across country evaluation
This article has been cited by other articles:
![]() |
C. D. Dechow, H. D. Norman, N. R. Zwald, C. M. Cowan, and O. M. Meland Relationship Between Individual Herd-Heritability Estimates and Sire Misidentification Rate J Dairy Sci, April 1, 2008; 91(4): 1640 - 1647. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. J. Fulkerson, T. M. Davison, S. C. Garcia, G. Hough, M. E. Goddard, R. Dobos, and M. Blockey Holstein-Friesian Dairy Cows Under a Predominantly Grazing System: Interaction Between Genotype and Environment J Dairy Sci, February 1, 2008; 91(2): 826 - 839. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Bohmanova, I. Misztal, S. Tsuruta, H. D. Norman, and T. J. Lawlor Short Communication: Genotype by Environment Interaction Due to Heat Stress J Dairy Sci, February 1, 2008; 91(2): 840 - 846. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. J. Haskell, S. Brotherstone, A. B. Lawrence, and I. M. S. White Characterization of the Dairy Farm Environment in Great Britain and the Effect of the Farm Environment on Cow Life Span J Dairy Sci, November 1, 2007; 90(11): 5316 - 5323. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Lillehammer, M. Arnyasi, S. Lien, H. G. Olsen, E. Sehested, J. Odegard, and T. H. E. Meuwissen A Genome Scan for Quantitative Trait Locus by Environment Interactions for Production Traits J Dairy Sci, July 1, 2007; 90(7): 3482 - 3489. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. R. Bryant, N. Lopez-Villalobos, J. E. Pryce, C. W. Holmes, D. L. Johnson, and D. J. Garrick Environmental Sensitivity in New Zealand Dairy Cattle J Dairy Sci, March 1, 2007; 90(3): 1538 - 1547. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. D. Dechow and H. D. Norman Within-Herd Heritability Estimated with Daughter-Parent Regression for Yield and Somatic Cell Score J Dairy Sci, January 1, 2007; 90(1): 482 - 492. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Konig, G. Dietl, I. Raeder, and H. H. Swalve Genetic Relationships for Dairy Performance Between Large-Scale and Small-Scale Farm Conditions J Dairy Sci, November 1, 2005; 88(11): 4087 - 4096. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. M. VanRaden Invited Review: Selection on Net Merit to Improve Lifetime Profit J Dairy Sci, October 1, 2004; 87(10): 3125 - 3131. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. F. Ceron-Munoz, H. Tonhati, C. N. Costa, D. Rojas-Sarmiento, and D. M. Echeverri Echeverri Factors that Cause Genotype by Environment Interaction and Use of a Multiple-Trait Herd-Cluster Model for Milk Yield of Holstein Cattle from Brazil and Colombia J Dairy Sci, August 1, 2004; 87(8): 2687 - 2692. [Abstract] [Full Text] [PDF] |
||||
![]() |
W. F. Fikse, R. Rekaya, and K. A. Weigel Genotype x Environment Interaction for Milk Production in Guernsey Cattle J Dairy Sci, May 1, 2003; 86(5): 1821 - 1827. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |