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

Simulation study on covariance component estimation for two binary traits in an underlying continuous scale.

E A Mäntysaari1, R L Quaas, Y T Gröhn

  • 1Cornell University, Ithaca, NY 14853.

Journal of Dairy Science
|February 1, 1991
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

Genetic architecture and genomic prediction for yield, winter damage, and digestibility traits in timothy (Phleum pratense L.) using genotyping-by-sequencing data.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2025
Same author

Graduate Student Literature Review: Organic dairy cattle longevity and economic implications-Contemporary perspectives.

Journal of dairy science·2025
Same author

Estimating breeding values for feed efficiency in dairy cattle by regression on expected feed intake.

Animal : an international journal of animal bioscience·2023
Same author

Estimation of individual animal SNP-BLUP reliability using full Monte Carlo sampling.

JDS communications·2022
Same author

The relationships between early lactation energy status indicators and endocrine fertility traits in dairy cows.

Journal of dairy science·2022
Same author

Economics of reducing antibiotic usage for pathogen-specific clinical mastitis through genomic selection and disease management.

Preventive veterinary medicine·2022
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

Estimating variance components for binary traits using a threshold model proved effective. Marginal maximum likelihood estimates accurately determined genetic correlations, outperforming linear models for residual correlations, especially at low incidence levels.

Area of Science:

  • Quantitative genetics
  • Statistical genetics
  • Animal breeding

Background:

  • Variance and covariance component estimation is crucial for quantitative genetics.
  • Threshold models are used for analyzing binary traits, but their estimation properties require further study.
  • Accurate estimation is vital for genetic parameter estimation in animal breeding.

Purpose of the Study:

  • To evaluate variance and covariance component estimation methods based on a threshold model for multiple binary traits.
  • To compare these methods with a restricted maximum likelihood (REML) approach using a linear model.
  • To assess the impact of different incidence levels on the accuracy of heritability and correlation estimates.

Main Methods:

  • Simulated data sets with two binary traits and varying incidences (25%, 15%, 5%) were generated.

Related Experiment Videos

  • Marginal maximum likelihood (MML) estimation equations for variance components on an underlying continuous scale were derived.
  • Estimates were compared to those from a REML method assuming normality and a linear model.

    • Main Results:

    • All methods performed equally well in estimating heritabilities across all incidence levels without bias.
    • Genetic correlations were accurately estimated directly from observations using the threshold model, without incidence correction.
    • Linear models provided satisfactory residual correlation estimates only at 25% incidence; threshold models were fairer, though overestimated at 5% incidence.

    Conclusions:

    • Marginal maximum likelihood estimates from threshold models are superior to linear model estimates for residual correlations, particularly at low incidence.
    • Threshold models offer accurate genetic correlation estimation directly from binary trait observations.
    • The study highlights the importance of choosing appropriate models for accurate genetic parameter estimation in binary trait analysis.