His scientific interests lie mostly in Heritability, Animal science, Statistics, Breed and Dairy cattle. His research investigates the connection between Heritability and topics such as Genetic correlation that intersect with issues in Energy balance. His work deals with themes such as Biotechnology, Genetic variation and Heterosis, which intersect with Animal science.
In general Statistics, his work in Restricted maximum likelihood is often linked to Disequilibrium linking many areas of study. His Breed research is multidisciplinary, incorporating elements of Single-nucleotide polymorphism and Crossbreed. His research in Dairy cattle tackles topics such as Ice calving which are related to areas like Weight gain.
His primary areas of investigation include Animal science, Heritability, Biotechnology, Genetics and Statistics. He has included themes like Reproduction and Flock in his Animal science study. The concepts of his Heritability study are interwoven with issues in Genetic correlation, Genetic variation, Weaning, Restricted maximum likelihood and Breed.
His research integrates issues of Genetic marker, Genetic gain, Animal breeding and Beef cattle in his study of Biotechnology. J. H. J. van der Werf works mostly in the field of Statistics, limiting it down to concerns involving Best linear unbiased prediction and, occasionally, Pearson product-moment correlation coefficient and SNP genotyping. His research in Linkage disequilibrium intersects with topics in Genome-wide association study and Genetic association.
His scientific interests lie mostly in Animal science, Flock, Genetic gain, Heritability and Biotechnology. His Animal science study combines topics in areas such as Lactation and Ultrasound. His work in Flock addresses issues such as Genetic variation, which are connected to fields such as Heterosis, Mixed model, Accounting, Dominance and Purebred.
J. H. J. van der Werf studied Genetic gain and Statistics that intersect with Reproduction, Litter and Revenue. His studies deal with areas such as Body weight, Genetic correlation and Beef cattle as well as Heritability. His studies in Biotechnology integrate themes in fields like Hanwoo and Mating.
The scientist’s investigation covers issues in Animal science, Biotechnology, Heritability, Breeding program and Genetic gain. His study ties his expertise on Flock together with the subject of Animal science. The various areas that J. H. J. van der Werf examines in his Flock study include Live weight and Ultrasound.
His Genetic variation research extends to the thematically linked field of Biotechnology. His study connects Genetic correlation and Heritability. His Genetic correlation research incorporates elements of Herd, Animal breeding and Beef cattle.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Genetic and statistical properties of residual feed intake
B.W. Kennedy;J.H.J. van der Werf;T.H.E. Meuwissen.
Journal of Animal Science (1993)
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.
Journal of Dairy Science (2000)
The Use of Covariance Functions and Random Regressions for Genetic Evaluation of Milk Production Based on Test Day Records
J.H.J. Van Der Werf;M.E. Goddard;K. Meyer.
Journal of Dairy Science (1998)
Genetic and phenotypic parameters for milk production and fertility traits in upgraded dairy cattle
J Hoekstra;A.W van der Lugt;J.H.J van der Werf;W Ouweltjes.
Livestock Production Science (1994)
Design and role of an information nucleus in sheep breeding programs
J. H. J. van der Werf;J. H. J. van der Werf;B. P. Kinghorn;B. P. Kinghorn;R. G. Banks;R. G. Banks.
Animal Production Science (2010)
Components of the accuracy of genomic prediction in a multi-breed sheep population
H. D. Daetwyler;K. E. Kemper;J. H. J. van der Werf;J. H. J. van der Werf;B. J. Hayes;B. J. Hayes.
Journal of Animal Science (2012)
Selection Bias and Multiple Trait Evaluation
E.J. Pollak;J.H.J. van der Werf;R.L. Quaas.
Journal of Dairy Science (1984)
Genetic parameters for meat quality traits of Australian lamb meat
S.I. Mortimer;J.H.J. van der Werf;R.H. Jacob;D.L. Hopkins.
Meat Science (2014)
Accuracy of estimated genomic breeding values for wool and meat traits in a multi-breed sheep population
H. D. Daetwyler;J. M. Hickey;J. M. Henshall;S. Dominik.
Animal Production Science (2010)
Accuracy of genotype imputation in sheep breeds.
B. J. Hayes;P. J. Bowman;H. D. Daetwyler;J. W. Kijas.
Animal Genetics (2012)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: