Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Jack C M Dekkers

Showing results (1-10 of 160) with videos related to

Pageof 16
Sort By:
Current Genomics|November 2, 2012
Application of genomics tools to animal breedingJack C M Dekkers
Genetics, Selection, Evolution : GSE|December 14, 2021
Multiple trait breeding programs with genotype-by-environment interactions based on reaction norms, with application to genetic improvement of disease resilienceJack C M Dekkers
Genetics, Selection, Evolution : GSE|April 27, 2004
Optimizing purebred selection for crossbred performance using QTL with different degrees of dominanceJack C M Dekkers, Reena Chakraborty
Genetics, Selection, Evolution : GSE|May 13, 2022
Application of Bayesian genomic prediction methods to genome-wide association analysesAnna Wolc, Jack C M Dekkers
Genetics, Selection, Evolution : GSE|February 15, 2022
Predictions of the accuracy of genomic prediction: connecting R<sup>2</sup>, selection index theory, and Fisher informationPiter Bijma, Jack C M Dekkers
Nature Reviews. Genetics|February 2, 2002
The use of molecular genetics in the improvement of agricultural populationsJack C M Dekkers, Frédéric Hospital
Asian-Australasian Journal of Animal Sciences|July 23, 2014
A least squares regression model to detect quantitative trait Loci with polar overdominance in a cross of outbred breeds: simulationJong-Joo Kim, Jack C M Dekkers
Genetics, Selection, Evolution : GSE|June 26, 2002
A method to optimize selection on multiple identified quantitative trait lociReena Chakraborty, Laurence Moreau, Jack C M Dekkers
Biometrics|May 4, 2012
Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysisLong Qu, Dan Nettleton, Jack C M Dekkers
Biometrics|September 22, 2012
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic dataLong Qu, Dan Nettleton, Jack C M Dekkers
Pageof 16

Showing results (1-10 of 160) with videos related to

Sort By:
Pageof 16
Current Genomics|November 2, 2012
Application of genomics tools to animal breedingJack C M Dekkers
Genetics, Selection, Evolution : GSE|December 14, 2021
Multiple trait breeding programs with genotype-by-environment interactions based on reaction norms, with application to genetic improvement of disease resilienceJack C M Dekkers
Genetics, Selection, Evolution : GSE|April 27, 2004
Optimizing purebred selection for crossbred performance using QTL with different degrees of dominanceJack C M Dekkers, Reena Chakraborty
Genetics, Selection, Evolution : GSE|May 13, 2022
Application of Bayesian genomic prediction methods to genome-wide association analysesAnna Wolc, Jack C M Dekkers
Genetics, Selection, Evolution : GSE|February 15, 2022
Predictions of the accuracy of genomic prediction: connecting R<sup>2</sup>, selection index theory, and Fisher informationPiter Bijma, Jack C M Dekkers
Nature Reviews. Genetics|February 2, 2002
The use of molecular genetics in the improvement of agricultural populationsJack C M Dekkers, Frédéric Hospital
Asian-Australasian Journal of Animal Sciences|July 23, 2014
A least squares regression model to detect quantitative trait Loci with polar overdominance in a cross of outbred breeds: simulationJong-Joo Kim, Jack C M Dekkers
Genetics, Selection, Evolution : GSE|June 26, 2002
A method to optimize selection on multiple identified quantitative trait lociReena Chakraborty, Laurence Moreau, Jack C M Dekkers
Biometrics|May 4, 2012
Improved estimation of the noncentrality parameter distribution from a large number of t-statistics, with applications to false discovery rate estimation in microarray data analysisLong Qu, Dan Nettleton, Jack C M Dekkers
Biometrics|September 22, 2012
A hierarchical semiparametric model for incorporating intergene information for analysis of genomic dataLong Qu, Dan Nettleton, Jack C M Dekkers
Pageof 16