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Animal Science and Veterinary
Netherlands
2026

D-Index & Metrics

Animal Science and Veterinary

D-Index
78
Citations
20155
World Ranking
92
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Animal Science and Veterinary in Netherlands Leader Award
  • 2025 - Research.com Animal Science and Veterinary in Netherlands Leader Award
  • 2023 - Research.com Animal Science and Veterinary in Netherlands Leader Award
  • 2022 - Research.com Animal Science and Veterinary in Netherlands Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Gene
  • Genetics

His main research concerns Dairy cattle, Animal science, Selection, Lactation and Heritability. His Dairy cattle research integrates issues from Ice calving, Energy balance, Genetic correlation, Biotechnology and Veterinary medicine. His research integrates issues of Regression analysis and Fertility in his study of Animal science.

His Selection study combines topics from a wide range of disciplines, such as Quantitative trait locus, Genetics, Statistics and Genetic variation. The study incorporates disciplines such as Silage, Dry matter and Genotype in addition to Lactation. The concepts of his Heritability study are interwoven with issues in Genetic gain and Restricted maximum likelihood.

His most cited work include:

  • Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle (502 citations)
  • Accuracy of Genomic Selection Using Different Methods to Define Haplotypes (300 citations)
  • Energy balance of dairy cattle in relation to milk production variables and fertility. (270 citations)

What are the main themes of his work throughout his whole career to date?

Roel F. Veerkamp mostly deals with Animal science, Dairy cattle, Heritability, Genetics and Selection. His study in Animal science is interdisciplinary in nature, drawing from both Fertility and Ice calving, Lactation. His Lactation research integrates issues from Silage, Endocrinology, Energy balance and Internal medicine.

His study explores the link between Dairy cattle and topics such as Biotechnology that cross with problems in Genomic selection. His Heritability study incorporates themes from Genetic correlation and Genetic variation. His Selection study combines topics from a wide range of disciplines, such as Statistics, Genetic gain and Animal breeding.

He most often published in these fields:

  • Animal science (32.29%)
  • Dairy cattle (32.05%)
  • Heritability (18.07%)

What were the highlights of his more recent work (between 2015-2021)?

  • Statistics (15.90%)
  • Dairy cattle (32.05%)
  • Animal science (32.29%)

In recent papers he was focusing on the following fields of study:

Roel F. Veerkamp focuses on Statistics, Dairy cattle, Animal science, Genetics and Heritability. Roel F. Veerkamp has researched Statistics in several fields, including Breed, Random forest and Selection. His work carried out in the field of Selection brings together such families of science as Animal breeding and Genetic diversity.

His research integrates issues of Fertility, Ice calving, Dry matter, Biotechnology and Milk production in his study of Dairy cattle. His Animal science research includes elements of Feed conversion ratio and Lactation, Calving interval, Milk yield. His Heritability study combines topics in areas such as Chromosome and Genetic correlation.

Between 2015 and 2021, his most popular works were:

  • Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals. (118 citations)
  • Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency (65 citations)
  • An Equation to Predict the Accuracy of Genomic Values by Combining Data from Multiple Traits, Populations, or Environments. (42 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Gene
  • Genetics

His scientific interests lie mostly in Heritability, Genetics, Quantitative trait locus, Genetic variation and Genome-wide association study. His Heritability research focuses on subjects like Statistics, which are linked to Genetic correlation and Reference population. His Quantitative trait locus research is multidisciplinary, relying on both Evolutionary biology, Whole genome sequencing and Animal breeding.

As a part of the same scientific family, Roel F. Veerkamp mostly works in the field of Genome-wide association study, focusing on Polymorphism and, on occasion, Best linear unbiased prediction and SNP. The concepts of his Linkage disequilibrium study are interwoven with issues in Fertility and Genotyping. His research on Residual feed intake also deals with topics like

  • Animal feed which connect with Dairy cattle,
  • Animal science most often made with reference to Population stratification.

Best Publications

  • Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle

    Hans D Daetwyler;Aurélien Capitan;Hubert Pausch;Paul Stothard

  • Energy balance of dairy cattle in relation to milk production variables and fertility.

    M.J. de Vries;R.F. Veerkamp

  • Accuracy of Genomic Selection Using Different Methods to Define Haplotypes

    M P L Calus;T H E Meuwissen;A P W de Roos;R F Veerkamp

  • Genetic Relationships among Body Condition Score, Body Weight, Milk Yield, and Fertility in Dairy Cows

    D.P. Berry;D.P. Berry;F. Buckley;P. Dillon;R.D. Evans

  • Genetic Correlations Among Body Condition Score, Yield, and Fertility in First-Parity Cows Estimated by Random Regression Models

    R.F. Veerkamp;E.P.C. Koenen;G. De Jong

  • Meta-analysis of genome-wide association studies for cattle stature identifies common genes that regulate body size in mammals.

    Aniek C. Bouwman;Hans D. Daetwyler;Amanda J. Chamberlain;Carla Hurtado Ponce

  • Selection for economic efficiency of dairy cattle using information on live weight and feed intake: A review

    R.F. Veerkamp

  • Genetic correlation between days until start of luteal activity and milk yield, energy balance, and live weights.

    R.F. Veerkamp;J.K. Oldenbroek;H.J. Van Der Gaast;J.H.J. Van Der Werf

  • Accuracy of multi-trait genomic selection using different methods

    Mario P L Calus;Roel F Veerkamp

  • Genetic aspects of common health disorders and measures of fertility in Holstein Friesian dairy cattle.

    J. E. Pryce;R. F. Veerkamp;R. Thompson;W. G. Hill

  • Associations between leptin gene polymorphisms and production, live weight, energy balance, feed intake, and fertility in Holstein heifers.

    S.C. Liefers;M.F.W. te Pas;R.F. Veerkamp;T. van der Lende

  • Genetic parameters for predicted methane production and potential for reducing enteric emissions through genomic selection.

    Y. de Haas;J.J. Windig;M.P.L. Calus;J. Dijkstra

  • The Effect of Linkage Disequilibrium and Family Relationships on the Reliability of Genomic Prediction

    Yvonne C J Wientjes;Roel F Veerkamp;Mario P L Calus

  • Genotype and feeding system effects and interactions for health and fertility traits in dairy cattle

    Jennie E. Pryce;Birte L. Nielsen;Roel F. Veerkamp;Geoff Simm

  • Effects of genetic selection for milk yield on energy balance, levels of hormones, and metabolites in lactating cattle, and possible links to reduced fertility ☆

    R.F. Veerkamp;B. Beerda;T. van der Lende

  • The effect of pathogen-specific clinical mastitis on the lactation curve for somatic cell count.

    Y. de Haas;H.W. Barkema;R.F. Veerkamp

  • Leptin Concentrations in Relation to Energy Balance, Milk Yield, Intake, Live Weight, and Estrus in Dairy Cows

    S.C. Liefers;R.F. Veerkamp;M.F.W. te Pas;C. Delavaud

  • Genetic correlations between linear type traits, food intake, live weight and condition score in Holstein Friesian dairy cattle

    R. F. Veerkamp;S. Brotherstone

  • Harnessing the genetics of the modern dairy cow to continue improvements in feed efficiency

    M.J. VandeHaar;L.E. Armentano;K. Weigel;D.M. Spurlock

  • Influence of herd environment on health and fertility and their relationship with milk production.

    J.J. Windig;M.P.L. Calus;R.F. Veerkamp

  • The incorporation of fertility indices in genetic improvement programmes

    J.E. Pryce;R.F. Veerkamp

  • Genetic relationships among linear type traits, milk yield, body weight, fertility and somatic cell count in primiparous dairy cows

    Donagh P. Berry;Frank Buckley;Pat Dillon;Ross D Evans

  • Estimation of genetic parameters using health, fertility and production data from a management recording system for dairy cattle

    J. E. Pryce;R. J. Esslemont;R. Thompson;R. F. Veerkamp

  • Inbreeding depression due to recent and ancient inbreeding in Dutch Holstein–Friesian dairy cattle

    Harmen P. Doekes;Roel F. Veerkamp;Piter Bijma;Gerben de Jong

  • GENETICS AND BREEDING Genetic Correlation Between Days Until Start of Luteal Activity and Milk Yield, Energy Balance, and Live Weights

    R. F. Veerkamp;J. K. Oldenbroek;H. J. Van Der Gaast

Frequent Co-Authors

Y. de Haas
Y. de Haas Wageningen University & Research
Donagh P. Berry
Donagh P. Berry Teagasc - The Irish Agriculture and Food Development Authority
Jack J. Windig
Jack J. Windig Wageningen University & Research
Jennie E. Pryce
Jennie E. Pryce La Trobe University
Piter Bijma
Piter Bijma Wageningen University & Research
Kent A. Weigel
Kent A. Weigel University of Wisconsin–Madison
Ben J. Hayes
Ben J. Hayes University of Queensland
Pat Dillon
Pat Dillon Teagasc - The Irish Agriculture and Food Development Authority
M.F.W. te Pas
M.F.W. te Pas Wageningen University & Research
Mike Coffey
Mike Coffey Scotland's Rural College

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