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Roel F. Veerkamp

Researcher at Wageningen University and Research Centre

Publications -  374
Citations -  14026

Roel F. Veerkamp is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Dairy cattle & Population. The author has an hindex of 60, co-authored 345 publications receiving 12341 citations. Previous affiliations of Roel F. Veerkamp include Norwegian University of Life Sciences & Scottish Agricultural College.

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Proceedings ArticleDOI

33. Heritability and genetic correlations of enteric methane emissions of dairy cows measured by sniffers and GreenFeed

TL;DR: In this article , the authors estimate heritabilities for, and a genetic correlation between, CH4 recorded by GreenFeed and sniffers, and find that CH4 emissions recorded by either device has a moderate heritability (0.18-0.37).
Proceedings ArticleDOI

327. Evaluating the suitability of subjectively defined base populations

TL;DR: In this paper , the authors present a number of statistics that can be used to evaluate defined base populations, including the number of base animals per base population in one case very low and the available genotype information for different base populations was coming from exactly the same genotyped animals.
Proceedings ArticleDOI

280. Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

TL;DR: The authors evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows and found that selecting sequence variants from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations in a five-fold cross-validation.
Journal ArticleDOI

Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs

TL;DR: The authors investigated the impact of genomic preselection on accuracy and bias in subsequent single-step genomic best linear unbiased prediction (ssGBLUP) evaluations, using data from a commercial pig breeding program.

Genetic architecture of micro-environmental sensitivity of quantitative traits – application to bovine somatic cell score

TL;DR: In this article, the authors used double hierarchical generalized linear models to predict the genetic risk of disease using a genome-wide approach and showed that the model can accurately estimate the residual variance of residual variance components.