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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

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Record number 444816
Title International genetic evaluations for feed intake in dairy cattle
Author(s) Berry, D.P.; Coffey, M.P.; Pryce, J.; Haas, Y. de; Lovendahl, P.; Thaller, G.; Crowley, J.; Spurlock, D.M.; Weigel, K.; MacDonald, K.; Veerkamp, R.F.
Source In: 47th Proceedings of the 2013 Interbull meeting. - Nantes : Interbull - p. 52 - 57.
Event Nantes : Interbull 2013 Interbull Meeting, Nantes France 23-25 august 2013, 2013-08-23/2013-08-25
Department(s) LR - Animal Breeding & Genomics
Animal Breeding and Genetics
Publication type Contribution in proceedings
Publication year 2013
Abstract Feed represents a large proportion of the variable costs in dairy production systems. The omission of feed intake measures explicitly from national dairy cow breeding objectives is predominantly due to a lack of information on which to make selection decisions. Individual cow feed intake data are available in different countries, mostly from research or nucleus herds. None of these datasets are sufficiently large enough on their own to generate accurate genetic evaluations. Here we collate data from ten populations in nine countries. A total of 224,174 test-day records from parity one to five animals, as well as 1,784 records from growing heifers were available. Random regression models fitted to lactating cow test-day records were used to predict feed intake at 70 days post calving. Heritability estimates of predicted cow feed intake 70-days post-calving was 0.34 across the entire dataset and varied, within population, from 0.08 to 0.52. Repeatability of feed intake across lactations was 0.66. Heritability of feed intake in growing heifers was 0.20 to 0.34. The genetic correlation between feed intake in lactating cows and heifers was 0.67. A combined pedigree and genomic relationship matrix was used to improve linkages between populations for the estimation of genetic correlations between countries categorized as North America, Grazing, Other low input, and High input EU. Genetic correlation estimates between populations varied from 0.14 to 0.84 but was stronger (0.76 to 0.84) between the populations representative of high input production systems.
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