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

Major advances in genetic evaluation techniques.

R L Powell1, H D Norman

  • 1Animal Improvement Programs Laboratory, Agricultural Research Service, USDA, Beltsville, MD 20705-2350, USA. rpowell@aipl.arsusda.gov

Journal of Dairy Science
|March 16, 2006
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

Corrigendum to "Changes in genetic trends in US dairy cattle since the implementation of genomic selection" (J. Dairy Sci. 106:1110-1129).

Journal of dairy science·2023
Same author

Changes in genetic trends in US dairy cattle since the implementation of genomic selection.

Journal of dairy science·2022
Same author

Thermal Conductivity, Electrical Resistivity, and Thermopower of Aerospace Alloys from 4 to 300 K.

Journal of research of the National Bureau of Standards. Section A, Physics and chemistry·2021
Same author

Investigating conception rate for beef service sires bred to dairy cows and heifers.

Journal of dairy science·2020
Same author

Symposium review: Development, implementation, and perspectives of health evaluations in the United States.

Journal of dairy science·2020
Same author

Genomic predictions for crossbred dairy cattle.

Journal of dairy science·2019
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

Genetic evaluation in dairy cattle has advanced with new methods, more traits, and global data sharing. These improvements enhance breeding goals and manage inbreeding, driving future genetic progress.

Area of Science:

  • Animal Genetics
  • Dairy Science
  • Quantitative Genetics

Background:

  • Dairy cattle genetic evaluation has evolved significantly over the past 25 years, driven by technological and methodological advancements.
  • Increased computing power and data availability have enabled the evaluation of a wider range of traits beyond milk yield.
  • Globalization has led to international data sharing, impacting bull selection and genetic diversity.

Purpose of the Study:

  • To review the evolution of genetic evaluation methodologies in dairy cattle over the past quarter-century.
  • To highlight advancements in trait evaluation, computational capacity, and global data integration.
  • To discuss the impact of these changes on breeding practices, inbreeding management, and future genetic progress.

Main Methods:

Related Experiment Videos

  • Transition from sire and sire-maternal grandsire models to more sophisticated animal models.
  • Integration of Bayesian theory and utilization of individual test-day observations in evaluation models.
  • Development and application of economic indices combining multiple traits for breeding goals.

Main Results:

  • Significant improvements in the accuracy and scope of genetic evaluations for dairy cattle.
  • Increased focus on non-yield traits due to their impact on profitability and antagonistic relationships with yield.
  • Globalized evaluations facilitate wider bull selection but necessitate strategies to manage increased inbreeding.

Conclusions:

  • Continued advancements in methodology, computing, and data integration are crucial for dairy cattle genetic improvement.
  • Managing inbreeding through revised methodologies and crossbreeding strategies is essential.
  • Genomic advancements hold future promise, but robust industry-wide data analysis remains the cornerstone of genetic progress.