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

Selecting mating pairs with linear programming techniques.

G B Jansen, J W Wilton

    Journal of Dairy Science
    |May 1, 1985
    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

    Selection with inbreeding control in simulated young bull schemes for local dairy cattle breeds.

    Journal of dairy science·2014
    Same author

    An empirical comparison of selection methods for the improvement of biomass.

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2014
    Same author

    The effect of positive assortative mating on genetic parameters in a simulated beef cattle population.

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
    Same author

    Memorial from the Gloucestershire Medical Association on Medical Reform.

    Provincial medical journal and retrospect of the medical sciences·2011
    Same author

    A Reward for Gratuitous Medical Services.

    Provincial medical journal and retrospect of the medical sciences·2011
    Same author

    Extent of linkage disequilibrium in Holstein cattle in North America.

    Journal of dairy science·2008
    Same journal

    Invited review: Manufacturing Whey Protein Colloidal Particles via Liquid Antisolvent Precipitation Method: Particle Formation Mechanism and Ingredient Functionality Aspects.

    Journal of dairy science·2026
    Same journal

    Colostrum programs early t lymphocyte-mediated immunity in neonatal dairy calves: effects of deprivation and preservation method on passive transfer and antigen-specific responses.

    Journal of dairy science·2026
    Same journal

    Functional Characterization and Application of Autochthonous Lactic Acid Bacteria from Chinese Kefir for Improved Fermented Milk Quality.

    Journal of dairy science·2026
    Same journal

    Distinct contributions of the Agr and LuxS quorum-sensing systems to stress tolerance, biofilm formation, and persistence of Staphylococcus aureus in dairy-processing environments.

    Journal of dairy science·2026
    Same journal

    Integrating automated body condition scores and lactation data via optimization algorithms for maximized milk revenue and minimized cost of delayed conception in dairy cows.

    Journal of dairy science·2026
    Same journal

    Assessing genotype by feed interactions for milk production traits in dairy cattle.

    Journal of dairy science·2026
    See all related articles

    Optimizing animal breeding programs can enhance progeny merit when trait relationships are nonlinear. Linear programming efficiently solves complex mating selection problems, improving genetic gain in livestock.

    Area of Science:

    • Animal Breeding and Genetics
    • Quantitative Genetics
    • Operations Research

    Background:

    • Mate selection aims to increase progeny merit, especially when trait relationships are nonlinear.
    • Calculating optimal mating pairs for large populations presents significant computational challenges.

    Purpose of the Study:

    • To develop an efficient computational strategy for selecting optimal mating pairs to maximize progeny merit.
    • To adapt linear programming techniques for complex animal breeding selection problems.

    Main Methods:

    • Formulated mate selection as a linear programming problem with decision variables for each potential mating pair.
    • Utilized "transportation" algorithms, a type of linear programming, by incorporating artificial sires and dams.
    • Defined constraints for the number of females per male and the total number of selected matings.

    Related Experiment Videos

    Main Results:

    • Linear programming significantly reduces the computational complexity compared to evaluating all possible mating pairs.
    • The proposed method efficiently identifies optimal mating strategies for maximizing progeny merit.
    • Demonstrated the applicability of "transportation" algorithms to animal breeding selection.

    Conclusions:

    • Linear programming offers an efficient solution for complex mate selection problems in animal breeding.
    • This approach is particularly valuable for optimizing genetic gain in large populations, such as dairy artificial insemination studs.
    • The method requires an objective progeny merit evaluation and is suitable when inheritance is not purely additive.