title: Genetic correlations between milk production and health and fertility depending on herd environment.
abstract: High milk production in dairy cattle can have negative side effects on health and fertility traits. This paper explores the genetic relationship of milk yield with health and fertility depending on herd environment. A total of 71,720 lactations from heifers calving in 1997 to 1999 in the Netherlands were analyzed. Herd environment was described by 4 principal components: intensity, average fertility, farm size, and relative performance indicating whether herds had good (poor) health and fertility despite a high (low) production. Fertility was evaluated by days to first service and number of inseminations (NINS); somatic cell score was used as a measure of udder health. Data were analyzed with a multitrait reaction norm model. Genetic correlation within traits across environments ranged from 0.84 to unity. Genetic correlations of the 3 traits with milk yield were antagonistic but varied over environments. Genetic correlation of milk yield with days to first service varied from 0.30 in small herds to 0.48 in herds with low average fertility. Correlations with NINS varied from 0.18 in large herds to 0.64 in high fertility herds, and with somatic cell score from 0.25 in herds with a high fertility relative to production to 0.47 in herds with a relative low fertility. Selection in environments of average value resulted in different predicted responses over environments. For example, selection for a decrease of NINS of 0.1 in an average production environment decreased milk yield by 35 kg in low production herds, but by 178 kg in high production herds.
authors.affiliation: Animal Sciences Group, Wageningen University and Research, Division Animal Resources Development, 8200 AB Lelystad, The Netherlands. jack.windig@wur.nl
authors.forename: J J
authors.initials: JJ
authors.lastname: Windig
authors.forename: M P L
authors.initials: MP
authors.lastname: Calus
authors.forename: B
authors.initials: B
authors.lastname: Beerda
authors.forename: R F
authors.initials: RF
authors.lastname: Veerkamp
mesh_terms: D000704:Analysis of Variance; D000818:Animals; D001947:Breeding; D002417:Cattle / Q000235:genetics*; D002452:Cell Count; D004777:Environment; D005260:Female; D005298:Fertility / Q000235:genetics*; D006304:Health Status; D007315:Insemination, Artificial / Q000662:veterinary; D007774:Lactation / Q000235:genetics*; D008892:Milk / Q000166:cytology; D009426:Netherlands; D010375:Pedigree; D010641:Phenotype; D011247:Pregnancy; D019655:Quantitative Trait, Heritable; D012044:Regression Analysis; D012641:Selection, Genetic; D013997:Time Factors