Related Experiment Video
Updated: May 27, 2026
11:53
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Controlling inbreeding and maximizing genetic gain using semi-definite programming with pedigree-based and genomic
S Schierenbeck1, E C G Pimentel, M Tietze
1Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August-University of Göttingen, D-37075 Göttingen, Germany. sven.schierenbeck@vit.de
Journal of Dairy Science
|November 29, 2011
Summary
Innovative selection tools using semi-definite programming (SDP) balance genetic gain and relationships. Restricting genomic relationships, compared to pedigree, selected more sires while increasing genetic gain for production and health traits.
Area of Science:
- Animal Breeding and Genetics
- Quantitative Genetics
- Bioinformatics
Background:
- High genetic relatedness among potential breeding bulls necessitates advanced selection tools.
- Balancing genetic gain with long-term genetic relationship management is crucial for sustainable breeding programs.
- Traditional selection methods may not adequately address complex genetic architectures and relationships.
Purpose of the Study:
- To apply optimum genetic contribution theory using semi-definite programming (SDP) for bull selection.
- To compare the effectiveness of pedigree versus genomic relationships in optimizing genetic gain and managing inbreeding.
- To evaluate selection strategies for both production (Index-PROD) and functional (Index-SCS) traits.
Main Methods:
- Utilized estimated breeding values for production index (Index-PROD) and somatic cell score (Index-SCS).
- Employed semi-definite programming (SDP) combined with pedigree (a(ij)) and genomic (f(ij)) relationships.
- Varied constraints on average relationships (pedigree and genomic) for selection candidates (484 bulls, 499 dams).
Main Results:
- Allowing higher relationship values generally increased genetic gain for both traits and reduced the number of selected sires.
- Restricting genomic relationships resulted in a higher number of selected sires compared to restricting pedigree relationships for similar genetic gain.
- SDP effectively identified optimal genetic contributions, with potential for further refinement using simulated annealing for mating plans.
Conclusions:
- Semi-definite programming offers a robust method for optimizing genetic contributions in livestock breeding.
- Genomic relationships provide a more nuanced basis for managing inbreeding compared to pedigree relationships.
- Balancing genetic gain and relationship management is achievable, with genomic data offering advantages in selection intensity.
Related Concept Videos
01:35Pedigree Analysis
Overview
01:35Pedigree Analysis
Overview
01:43Incomplete Dominance
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
02:33Combinatorial Gene Control
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
01:23Behavioral Genetics and Its Designs
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
01:25What is Population Genetics?
A population is composed of members of the same species that simultaneously live and interact in the same area. When individuals in a population breed, they pass down their genes to their offspring. Many of these genes are polymorphic, meaning that they occur in multiple variants. Such variations of a gene are referred to as alleles. The collective set of all the alleles within a population is known as the gene pool.