Related Experiment Video
Updated: Feb 14, 2026

Building a Simple and Versatile Illumination System for Optogenetic Experiments
Published on: January 12, 2021
Symposium review: Building a better cow-The Australian experience and future perspectives
J E Pryce1, T T T Nguyen2, M Axford3
1Agriculture Victoria, AgriBio, Centre for AgriBioscience, Bundoora, Victoria 3083, Australia; School of Applied Systems Biology, La Trobe University, Bundoora, Victoria 3083, Australia.
Genomic selection in Australian cattle breeding now includes feed efficiency and heat tolerance. Future efforts will focus on animal health traits, aiming to improve overall breeding objectives despite lower initial genomic reliabilities for novel traits.
Area of Science:
- Animal Breeding and Genetics
- Genomic Selection
- Quantitative Genetics
Background:
- Genomic selection utilizes phenotypes from genotyped reference populations to develop breeding values.
- Australia has implemented genomic breeding values for feed efficiency (feed saved) since 2015 and heat tolerance since 2017.
- Feed saved is integrated into the national breeding objective, prioritizing profitability and farmer preferences.
Purpose of the Study:
- To discuss the application and future directions of genomic selection in Australian cattle breeding.
- To address the challenges of lower genomic reliabilities in novel traits.
- To explore strategies for improving genomic prediction and trait inclusion in breeding objectives.
Main Methods:
- Application of genomic selection for feed efficiency and heat tolerance traits.
- Analysis of genomic reliabilities for established and novel traits.
- Discussion of methods to improve genomic prediction, including sequence data and gene expression studies.
- Consideration of international data pooling and reference population maintenance.
Main Results:
- Genomic breeding values for feed saved and heat tolerance are established in Australia.
- Novel genomic information-only traits often exhibit reliabilities below 50%, compared to 60-75% for established traits.
- Improved genomic prediction methods and data integration are key to enhancing reliability.
Conclusions:
- Despite lower reliabilities, novel traits contributing to the overall breeding objective (e.g., profit) are valuable.
- Future advancements include incorporating animal health traits and utilizing automated data capture.
- Enhanced use of data through bull selection tools and personalized genetic trends can improve farm management and selection decisions.
Related Concept Videos
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Psychodynamic Perspectives on Personality
Psychodynamic theorists argue that unconscious...
Social Cognitive Perspective on Personality
Movement Joints in Buildings
The simplest type of movement joints, working joints, are...
Criticisms of the Evolutionary Perspective
Evolutionary psychology provides one explanation for these findings, suggesting...

