R
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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Predicting energy balance for dairy cows using high-density single nucleotide polymorphism information.
TL;DR: It is demonstrated that genomic selection could be used to select for EB, confirming its genetic background, and the study suggests that it may be possible to selected for minimally recorded traits; for instance, those measured on experimental farms, using genomic selection.
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Imputation to whole-genome sequence using multiple pig populations and its use in genome-wide association studies
Sanne van den Berg,Jérémie Vandenplas,Fred A. van Eeuwijk,Aniek C. Bouwman,Marcos S. Lopes,Roel F. Veerkamp +5 more
TL;DR: iWGS, even with poor imputation accuracy, can be used to identify possible interesting regions for fine mapping and increased the number of detected QTL and the estimated proportion of phenotypic variance explained by these QTL, especially when dosage scores were used instead of genotype scores.
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Associations Among Descriptors of Herd Management and Phenotypic and Genetic Levels of Health and Fertility
TL;DR: Investigating the association of descriptors of herd environment with phenotypic levels and breeding values of fertility and health traits suggests that environment-specific breeding values should be estimated for use in customized selection indices.
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Estimation of genetic variation in residual variance in female and male broiler chickens
TL;DR: In this paper, the authors estimate genetic variance in residual variance of body weight, and to estimate genetic correlations between body weight itself and its residual variance and between female and male residual variance for broilers.
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Estimation of genetic variance for macro- and micro-environmental sensitivity using double hierarchical generalized linear models
Han A. Mulder,Lars Rönnegård,Lars Rönnegård,W. Freddy Fikse,Roel F. Veerkamp,Erling Strandberg +5 more
TL;DR: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities.