2007 - The Rockefeller Prentice Memorial Award in Animal Breeding and Genetics, American Society of Animal Science
His scientific interests lie mostly in Genetics, Quantitative trait locus, Dairy cattle, Animal science and Heritability. His study in Genetics is interdisciplinary in nature, drawing from both Statistics, Selection and Bayes' theorem. The various areas that Jack C. M. Dekkers examines in his Selection study include Biotechnology, Computational biology, Marker-assisted selection and Sire.
Jack C. M. Dekkers interconnects Linkage disequilibrium, Genetic marker, Allele, Inclusive composite interval mapping and Family-based QTL mapping in the investigation of issues within Quantitative trait locus. His Dairy cattle research is multidisciplinary, incorporating elements of Veterinary medicine, Culling, Herd and Mastitis, Udder. His work in the fields of Animal science, such as Marbled meat, Loin and Dry matter, intersects with other areas such as Energy balance.
Jack C. M. Dekkers spends much of his time researching Genetics, Animal science, Quantitative trait locus, Selection and Residual feed intake. His Genetics study is mostly concerned with Single-nucleotide polymorphism, Genotype, Genetic variation, Linkage disequilibrium and Allele. His Animal science research incorporates themes from Feed conversion ratio and Heritability.
His Heritability study combines topics in areas such as Veterinary medicine, Statistics, Genetic correlation and Sire. He has researched Quantitative trait locus in several fields, including Evolutionary biology, Genome-wide association study, Genetic marker, Inclusive composite interval mapping and Family-based QTL mapping. His Residual feed intake research includes elements of Food science and Loin.
Genetics, Animal science, Virology, Residual feed intake and Quantitative trait locus are his primary areas of study. Genetic marker and Strain are subfields of Genetics in which his conducts study. Many of his studies on Animal science involve topics that are commonly interrelated, such as Selection.
His studies deal with areas such as Loin and Lawsonia intracellularis as well as Residual feed intake. His Quantitative trait locus research focuses on Single-nucleotide polymorphism and how it relates to Genetic variation and Haplotype. His study focuses on the intersection of Genetic variation and fields such as Heritability with connections in the field of Genetic correlation and Statistics.
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.
The Impact of Genetic Relationship Information on Genome-Assisted Breeding Values
D. Habier;R. L. Fernando;J. C. M. Dekkers.
Commercial application of marker- and gene-assisted selection in livestock: Strategies and lessons
J. C. M. Dekkers.
Journal of Animal Science (2004)
The use of molecular genetics in the improvement of agricultural populations.
Jack C. M. Dekkers.
Nature Reviews Genetics (2002)
Alteration in immune responsiveness during the peripartum period and its ramification on dairy cow and calf health
B A Mallard;J C Dekkers;M J Ireland;K E Leslie.
Journal of Dairy Science (1998)
Correlations among selected pork quality traits
Elisabeth J. Huff-Lonergan;Thomas J. Baas;Massoud Malek;Jack C. M. Dekkers.
Journal of Animal Science (2002)
Relationships Between Energy Balance and Health Traits of Dairy Cattle in Early Lactation
B.L. Collard;P.J. Boettcher;J.C.M. Dekkers;D. Petitclerc.
Journal of Dairy Science (2000)
A molecular genome scan analysis to identify chromosomal regions influencing economic traits in the pig. II. Meat and muscle composition
Massoud Malek;Jack C.M. Dekkers;Hakkyo K. Lee;Thomas J. Baas.
Mammalian Genome (2001)
Factors Affecting Accuracy From Genomic Selection in Populations Derived From Multiple Inbred Lines: A Barley Case Study
Shengqiang Zhong;Jack C.M. Dekkers;Rohan Luigi Fernando;Jean-Luc Jannink.
Genomic Selection Using Low-Density Marker Panels
David Habier;David Habier;Rohan L. Fernando;Jack C. M. Dekkers.
Genetic Evaluation of Dairy Cattle Using Test Day Yields and Random Regression Model
J. Jamrozik;L.R. Schaeffer;J.C.M. Dekkers.
Journal of Dairy Science (1997)
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: