title: Effects of stage of pregnancy on variance components, daily milk yields and 305-day milk yield in Holstein cows, as estimated by using a test-day model.
abstract: Pregnancy and calving are elements indispensable for dairy production, but the daily milk yield of cows decline as pregnancy progresses, especially during the late stages. Therefore, the effect of stage of pregnancy on daily milk yield must be clarified to accurately estimate the breeding values and lifetime productivity of cows. To improve the genetic evaluation model for daily milk yield and determine the effect of the timing of pregnancy on productivity, we used a test-day model to assess the effects of stage of pregnancy on variance component estimates, daily milk yields and 305-day milk yield during the first three lactations of Holstein cows. Data were 10 646 333 test-day records for the first lactation; 8 222 661 records for the second; and 5 513 039 records for the third. The data were analyzed within each lactation by using three single-trait random regression animal models: one model that did not account for the stage of pregnancy effect and two models that did. The effect of stage of pregnancy on test-day milk yield was included in the model by applying a regression on days pregnant or fitting a separate lactation curve for each days open (days from calving to pregnancy) class (eight levels). Stage of pregnancy did not affect the heritability estimates of daily milk yield, although the additive genetic and permanent environmental variances in late lactation were decreased by accounting for the stage of pregnancy effect. The effects of days pregnant on daily milk yield during late lactation were larger in the second and third lactations than in the first lactation. The rates of reduction of the 305-day milk yield of cows that conceived fewer than 90 days after the second or third calving were significantly (P<0.05) greater than that after the first calving. Therefore, we conclude that differences between the negative effects of early pregnancy in the first, compared with later, lactations should be included when determining the optimal number of days open to maximize lifetime productivity in dairy cows.
authors.affiliation: 1NARO Hokkaido Agricultural Research Center,Sapporo 062-8555,Japan.
authors.forename: T
authors.initials: T
authors.lastname: Yamazaki
authors.affiliation: 2Obihiro University of Agriculture and Veterinary Medicine,Obihiro 080-8555,Japan.
authors.forename: K
authors.initials: K
authors.lastname: Hagiya
authors.affiliation: 3NARO Institute of Livestock and Grassland Science,Tsukuba 305-0901,Japan.
authors.forename: H
authors.initials: H
authors.lastname: Takeda
authors.affiliation: 4National Livestock Breeding Center,Fukushima 961-8511,Japan.
authors.forename: T
authors.initials: T
authors.lastname: Osawa
authors.affiliation: 5Livestock Improvement Association of Japan,Tokyo 135-0041,Japan.
authors.forename: S
authors.initials: S
authors.lastname: Yamaguchi
authors.affiliation: 6Nihon University,Fujisawa 252-0880,Japan.
authors.forename: Y
authors.initials: Y
authors.lastname: Nagamine
mesh_terms: D000818:Animals; D002417:Cattle / Q000502:physiology*; D004777:Environment; D005260:Female; D007774:Lactation; D008892:Milk / Q000378:metabolism*; D008954:Models, Biological; D010298:Parity; D011247:Pregnancy; D012044:Regression Analysis
keywords: dairy cattle; days open; days pregnant; test-day model