ArticleFrontiers in genetics2019
Key Genetic Parameters for Population Management.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- PyMSQ: a Python package for fast Mendelian sampling (co)variance and haplotype-based similarity in genomic selection.BMC bioinformatics · 2026Article
- Probabilities of two alleles being identity by state at unobserved loci predicted by observed loci in cattle populations.Scientific reports · 2026Article
- Practical Considerations When Using Mendelian Sampling Variances for Selection Decisions in Genomic Selection Programs.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2025Article
- Article
- Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances.G3 (Bethesda, Md.) · 2024Article
- Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead.Genetics, selection, evolution : GSE · 2024Article
- Variation in the proportion of the segregating genome shared between full-sibling cattle and sheep.Genetics, selection, evolution : GSE · 2023Article
- Performance evaluation and genetic parameters estimation of multi-companies maize hybrids in Lamahi Dang, Nepal.Heliyon · 2023Article
- Genetic Parameters of Growth Traits and Quantitative Genetic Metrics for Selection and Conservation of Mecheri Sheep of Tamil Nadu.Animals : an open access journal from MDPI · 2023Article
- Pedigree and genome-based patterns of homozygosity in the South African Ayrshire, Holstein, and Jersey breeds.Frontiers in genetics · 2023Article
- Population genomics of American mink using genotype data.Frontiers in genetics · 2023Article
- Genetic and Phenotypic Parameters for Pelt Quality and Body Length and Weight Traits in American Mink.Animals : an open access journal from MDPI · 2022Article
- Opportunities of Genomics for the Use of Semen Cryo-Conserved in Gene Banks.Frontiers in genetics · 2022Review
- Article
- Estimation of Population-Specific Genetic Parameters Important for Long-Term Optimum Contribution Selection-Case Study on a Dairy Istrian Sheep Breed.Animals : an open access journal from MDPI · 2021Article
- Assessing the genetic background and genomic relatedness of red cattle populations originating from Northern Europe.Genetics, selection, evolution : GSE · 2021Article
- Article
- Genomewide Mapping of Selection Signatures and Genes for Extreme Feather Pecking in Two Divergently Selected Laying Hen Lines.Animals : an open access journal from MDPI · 2020Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Population management has the primary task of maximizing the long-term competitiveness of a breed. Breeds compete with each other for being able to supply consumer demands at low costs and also for funds from conservation programs. The competition for consumer preference is won by breeds with high genetic gain for total merit who maintained a sufficiently high genetic diversity, whereas the competition for funds is won by breeds with high conservation value. The conservation value of a breed could be improved by increasing its contribution to the gene pool of the species. This may include the recovery of its original genetic background and the maintenance of a high genetic diversity at native haplotype segments. The primary objective of a breeding program depends on the genetic state of the population and its intended usage. In this paper, we review the key genetic parameters that are relevant for population management, compare the methods for estimating them, derive the formulas for predicting their value at a future time, and clarify their usage in various types of breeding programs that differ in their main objectives. These key parameters are kinships, native kinships, breeding values, Mendelian sampling variances, native contributions, and mutational effects. Population management currently experiences a transition from using pedigree-based estimates to marker-based estimates, which improves the accuracies of these estimates and thereby increases response to selection. In addition, improved measures of the factors that determine the competitiveness of a breed and utilize auxiliary parameters, such as Mendelian sampling variances, mutational effects, and native kinships, enable to improve further upon historic recommendations for genetic population management.
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