title: Alternative somatic cell count traits to improve mastitis resistance in Canadian Holsteins.
abstract: The objective of this study was to investigate whether alternative somatic cell count (SCC) traits are suitable as mastitis indicators in Canadian Holsteins. Mastitis data recorded by producers were available from the national dairy cattle health system in Canada. Mastitis was defined as a binary variable based on whether or not the cow had at least one mastitis case in the period from calving to 305 d after calving. The analyzed alternative SCC traits included mean somatic cell score (SCS) from different time periods, maximum SCS, standard deviation of SCS, excessive test-day SCC, and a peak pattern of test-day records with suspicion of mastitis. Data of 53,626 first-lactation Holstein cows from 1,666 herds across Canada were analyzed using linear animal models. A heritability of 0.02 was obtained for mastitis. For both mean SCS in early and late lactation, a heritability of 0.11 was estimated. Heritabilities of various patterns of SCC ranged from 0.01 to 0.07. Estimated genetic correlations were 0.69 and 0.68 between mastitis and mean SCS in early and late lactation, respectively. Higher genetic correlations were found between mastitis and the different SCC patterns (0.82 to 0.91). Sires with high breeding values for mastitis resistance had consistently higher percentage of healthy daughters than sires with low breeding values for mastitis resistance. Breeding values for mean SCS in early lactation, standard deviation of SCS, and an excessive test-day SCC pattern (at least one SCC test-day above 500,000) were the best predictors of the breeding value for mastitis resistance and explained in total 41% of the variation in relative breeding values for mastitis resistance. The results demonstrated that patterns of SCC provide additional information for genetic evaluations of mastitis resistance that cannot be explained by mean SCS alone.
authors.affiliation: Centre for Genetic Improvement of Livestock, University of Guelph, Guelph, Ontario, Canada. akoeck@uoguelph.ca
authors.forename: A
authors.initials: A
authors.lastname: Koeck
authors.forename: F
authors.initials: F
authors.lastname: Miglior
authors.forename: D F
authors.initials: DF
authors.lastname: Kelton
authors.forename: F S
authors.initials: FS
authors.lastname: Schenkel
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics; D002452:Cell Count / Q000662:veterinary; D060467:Disease Resistance / Q000235:genetics*; D005260:Female; D005819:Genetic Markers / Q000235:genetics; D007774:Lactation / Q000235:genetics; D008414:Mastitis, Bovine / Q000235:genetics*; D008892:Milk / Q000166:cytology*; D008957:Models, Genetic; D010641:Phenotype; D019655:Quantitative Trait, Heritable
chemical_list: D005819:Genetic Markers