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Related Experiment Video

Updated: Jun 15, 2025

Author Spotlight: Improving Beef Cattle Nutrition and Production with a Focus on Feed Efficiency and Meat Quality Traits Through Advanced Biochemical and Molecular Assays

Author Spotlight: Improving Beef Cattle Nutrition and Production with a Focus on Feed Efficiency and Meat Quality Traits Through Advanced Biochemical and Molecular Assays

Published on: July 12, 2024

Advancing Dairy and Beef Genetics Through Genomic Technologies.

Priyanka Banerjee¹, Wellison J S Diniz¹

¹Department of Animal Sciences, Auburn University, Auburn, AL 36849, USA.

The Veterinary Clinics of North America. Food Animal Practice

|August 24, 2024

Summary

This summary is machine-generated.

US beef and dairy industries advance sustainability via selective breeding. Genomic technologies and high-throughput phenotyping offer future genetic progress, overcoming challenges in quantitative traits and data availability.

Keywords:

Beef genomics Dairy genomics Genomic selection Selective breeding Sustainability

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Area of Science:

Animal science
Genetics
Agricultural technology

Background:

US beef and dairy industries have improved sustainability and productivity through selective breeding.
Quantitative traits present challenges in genetic advancements.
Genomic technology adoption is progressing in the beef industry, but phenotypic data availability is limited.

Purpose of the Study:

To highlight advancements in animal breeding and genetics for sustainable production.
To identify challenges and opportunities in leveraging genomic and phenotyping technologies.
To guide future research in translating genetic findings into practical applications.

Main Methods:

Review of technological advancements in selective breeding.
Analysis of challenges in quantitative trait selection.
Exploration of emerging approaches like genome editing and high-throughput phenotyping.

Main Results:

Selective breeding has driven significant progress in sustainability and productivity.
Genomic technologies are increasingly adopted, yet phenotypic data gaps persist.
Novel traits and advanced techniques like genome editing show potential for future gains.

Conclusions:

Continued genetic progress requires addressing data limitations and translating research into practice.
Emerging technologies offer promising avenues for enhancing livestock production.
Integrating advanced analytical methods is crucial for maximizing the impact of genomic findings.