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Updated: Jan 26, 2026

Gamete Collection and In Vitro Fertilization of Astyanax mexicanus
Published on: May 25, 2019
Variance of gametic diversity and its application in selection programs.
D J A Santos1, J B Cole2, T J Lawlor3
1Department of Animal and Avian Sciences, University of Maryland, College Park 20742; Departamento de Zootecinia, Universidade Estadual Paulista, Jaboticabal, 14884-900, Brazil.
Gametic variance (σ²gamete) estimation from genomic data aids in selecting individuals for extreme breeding values. Incorporating this variance into selection criteria can boost genetic gain by up to 16% and improve genetic diversity control.
Area of Science:
- Animal Breeding and Genetics
- Quantitative Genetics
- Genomic Selection
Background:
- Traditional breeding values may not fully capture an individual's potential for progeny with extreme traits.
- Gametic diversity variance (σ²gamete) offers a metric to identify individuals likely to produce offspring with extreme breeding values.
- Accurate estimation of σ²gamete is crucial for enhancing genetic progress in livestock populations.
Purpose of the Study:
- To estimate gametic variance (σ²gamete) from routine genomic evaluations.
- To integrate σ²gamete into a selection criterion alongside breeding values to improve genetic gain.
- To develop and validate a new index, relative predicted transmitting ability, for more effective genetic selection.
Main Methods:
- Developed an analytical approach to estimate σ²gamete using the sum of binomial variances across all quantitative trait loci (QTL).
- Utilized simulation studies to verify the predictability of the analytical approach across various scenarios.
- Applied the method to US genomic evaluations for Holstein and Jersey cattle, considering factors like the DGAT1 gene and inbreeding.
Main Results:
- The prediction accuracy for σ²gamete ranged from 0.49 to 0.85, demonstrating the method's reliability.
- Single Nucleotide Polymorphism (SNP) data proved sufficient for estimating σ²gamete, with inclusion of low minor allele frequency markers and marker covariance improving accuracy.
- Simulations indicated that incorporating σ²gamete could lead to an additional 16% genetic gain over 10 generations.
- The DGAT1 gene significantly influenced σ²gamete for production traits in cattle; inbreeding had a minor impact on gametic variability.
Conclusions:
- Gametic variance (σ²gamete) is a computationally feasible and valuable parameter for enhancing selection programs.
- The proposed relative predicted transmitting ability index effectively utilizes genetic potential, surpassing traditional methods.
- The application of σ²gamete in cattle breeding demonstrates its practical utility for improving genetic progress and managing genetic diversity.
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