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

Related Experiment Videos

Multivariate genetic evaluation in swine combining data from different testing schemes.

M Kovac1, E Groeneveld

  • 1Dept. of Anim. Sci., University of Illinois, Urbana 61801.

Journal of Animal Science
|November 1, 1990
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Search for Light Pseudoscalar Bosons, Pair-Produced in Higgs Boson Decays in the Four-Electron Final State in Proton-Proton Collisions at sqrt[s]=13  TeV.

Physical review letters·2026
Same author

First Evidence for Mixing-Induced CP Violation in B_{s}^{0}→J/ψϕ(1020) Decays in pp Collisions at sqrt[s]=13  TeV.

Physical review letters·2026
Same author

Observation of Suppressed Charged-Particle Production in Ultrarelativistic Oxygen-Oxygen Collisions.

Physical review letters·2026
Same author

Measurement of D^{0} Meson Photoproduction in Ultraperipheral Heavy Ion Collisions.

Physical review letters·2026
Same author

Observation of tWZ Production at the CMS Experiment.

Physical review letters·2026
Same author

First Exclusive Reconstruction of the B^{*+}, B^{*0}, and B_{s}^{*0} Mesons and Precise Measurement of Their Masses.

Physical review letters·2026

This study introduces a computational strategy for efficient genetic evaluations using multivariate mixed models. It enables combining diverse data sources to estimate aggregate genotypes for improved animal breeding selection.

Area of Science:

  • Animal Breeding and Genetics
  • Quantitative Genetics
  • Computational Biology

Background:

  • Genetic evaluations are crucial for improving livestock populations.
  • Integrating data from various testing programs (field, litter, station) presents computational challenges.
  • Accurate estimation of aggregate genotypes requires robust statistical models.

Purpose of the Study:

  • To present a computational strategy for rapid genetic evaluations.
  • To enable the combination of data from different testing programs.
  • To facilitate the estimation of aggregate genotypes for selection candidates.

Main Methods:

  • Development of a computational strategy for multivariate mixed models.
  • Incorporation of residual and additive genetic covariance structures.

Related Experiment Videos

  • Implementation of a "generic" testing structure using pseudo-code.
  • Application of a modified animal model for sib groups.

    • Main Results:

    • Demonstrated rapid implementation of genetic evaluations.
    • Successfully combined data from field and station tests for six and four traits, respectively.
    • Calculated Best Linear Unbiased Predictors (BLUPs) for boars, parents, and sib groups.
    • Computed aggregate genotypes equivalent to standard selection indices.

    Conclusions:

    • The presented strategy allows for efficient and integrated genetic evaluations.
    • This approach enhances the accuracy of estimating aggregate genotypes for selection.
    • The method is applicable to diverse data structures in animal breeding programs.