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Related Experiment Video

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Breeding by Design for Functional Rice with Genome Editing Technologies

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Economic evaluation of genomic breeding programs.

S König¹, H Simianer, A Willam

¹Institute of Animal Breeding and Genetics, University of Göttingen, 37075 Göttingen, Germany. skoenig2@gwdg.de

Journal of Dairy Science

|December 26, 2008

Summary

This summary is machine-generated.

Genomic breeding programs offer significant economic advantages over conventional dairy cattle breeding, primarily by reducing generation intervals. These programs are most effective when at least 20% of inseminations use genotyped young bulls without waiting for daughter records.

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Area of Science:

Animal Breeding and Genetics
Agricultural Economics
Quantitative Genetics

Background:

Conventional dairy cattle breeding relies on progeny testing, which involves long generation intervals.
Genomic selection offers potential for faster genetic gain but requires accurate genomic indices and cost-effective implementation.
Economic viability is a key factor in adopting new breeding technologies in dairy farming.

Purpose of the Study:

To compare the economic efficiency of conventional progeny testing with various genomic breeding program scenarios.
To evaluate the impact of factors like genotyping costs, selection intensity, and farmer adoption rates on genomic breeding success.
To determine the conditions under which genomic breeding programs outperform traditional methods in dairy cattle.

Main Methods:

A deterministic model using gene flow and selection index calculations was employed.
Modeled scenarios included variations in genotyping costs, selection intensity, and farmer reliance on daughter records.
Technical and biological coefficients specific to a German breeding organization were utilized.

Main Results:

Genomic breeding programs showed a distinct economic advantage (up to 2.59 times higher discounted profit) when genomic index accuracies exceeded 0.70.
Genotyping costs were found to be negligible from a population-wide perspective.
Higher discounted profits were achieved in genomic scenarios with at least 20% of inseminations by genotyped young bulls without daughter records.

Conclusions:

Genomic breeding programs are economically superior to conventional progeny testing, especially when progeny testing is fully abandoned.
The success of genomic breeding hinges on farmer willingness to adopt genotyped young bulls without waiting for daughter performance data.
Genomic selection enables substantial genetic gain for both low and moderately heritable traits with highly accurate genomic indices.