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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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Effects of genotype and feeding system on the reproductive performance of dairy cattle

TL;DR: In heifers there was a significant positive relationship between milk yield during the first 26 weeks of lactation and number of days to first observed post partum estrus, and in cows milk yield was positively related to number of services per pregnancy and calving interval.
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Evaluation of genomic selection for replacement strategies using selection index theory

TL;DR: The objective was to investigate the economic effect of prioritizing heifers for replacement at the herd level based on genomic estimated breeding values, and to compute break-even genotyping costs across a wide range of scenarios.
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Gene expression patterns in four brain areas associate with quantitative measure of estrous behavior in dairy cows

TL;DR: Several genes were identified whose expression levels in the bovine brain associated with the level of expression of estrous behavior, and several genes related to neurotransmission and neuronal plasticity are also involved in estrous regulation, with several genes and processes expressed in mid-cycle probably contributing to proper expression ofEstrous behavior in the next estrus.
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Influence of management and genetic merit for milk yield on the oxidative status of plasma in heifers

TL;DR: In this article, the authors studied whether milk production levels affect health risks in dairy cows as influenced by genetic merit for milk yield and management factors, such as breeding value, milk frequency, and feed energy density.
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Assessment of genomic selection for introgression of polledness into Holstein Friesian cattle by simulation

TL;DR: Application of GS to gene introgression helped to speed up the process of introgressive of a gene while simultaneously increasing the genetic gain and reducing the inbreeding rate.