ArticleGenetics, selection, evolution : GSE2016
Response to selection while maximizing genetic variance in small populations.
Article in Genetics, selection, evolution : GSE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Pedigree-based analysis of population structure and genetic diversity in high-milch Vrindavani crossbred cattle of India.Tropical animal health and production · 2024Article
- Oracle selection provides insight into how far off practice is from Utopia in plant breeding.Frontiers in plant science · 2023Article
- Strategies of preserving genetic diversity while maximizing genetic response from implementing genomic selection in pulse breeding programs.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Breeding Strategies to Optimize Effective Population Size in Low Census Captive Populations: The Case ofAnimals : an open access journal from MDPI · 2021Article
- Herd clustering strategies and corresponding genetic evaluations based on social-ecological characteristics for a local endangered cattle breed.Archives animal breeding · 2021Article
- Genetic Diversity in the Portuguese Mertolenga Cattle Breed Assessed by Pedigree Analysis.Animals : an open access journal from MDPI · 2020Article
- Preservation of Genetic Variation in a Breeding Population for Long-Term Genetic Gain.G3 (Bethesda, Md.) · 2020Article
- Long-Term Evaluation of Breeding Scheme Alternatives for Endangered Honeybee Subspecies.Insects · 2020Article
- Genetic Variability and Management in Nero di Parma Swine Breed to Preserve Local Diversity.Animals : an open access journal from MDPI · 2020Article
- Key Genetic Parameters for Population Management.Frontiers in genetics · 2019Article
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundRare breeds represent a valuable resource for future market demands. These populations are usually well-adapted, but their low census compromises the genetic diversity and future of these breeds. Since improvement of a breed for commercial traits may also confer higher probabilities of survival for the breed, it is important to achieve good responses to artificial selection. Therefore, efficient genetic management of these populations is essential to ensure that they respond adequately to genetic selection in possible future artificial selection scenarios. Scenarios that maximize the maximum genetic variance in a unique population could be a valuable option. The aim of this work was to study the effect of the maximization of genetic variance to increase selection response and improve the capacity of a population to adapt to a new environment/production system.
resultsWe simulated a random scenario (A), a full-sib scenario (B), a scenario applying the maximum variance total (MVT) method (C), a MVT scenario with a restriction on increases in average inbreeding (D), a MVT scenario with a restriction on average individual increases in inbreeding (E), and a minimum coancestry scenario (F). Twenty replicates of each scenario were simulated for 100 generations, followed by 10 generations of selection. Effective population size was used to monitor the outcomes of these scenarios. Although the best response to selection was achieved in scenarios B and C, they were discarded because they are unpractical. Scenario A was also discarded because of its low response to selection. Scenario D yielded less response to selection and a smaller effective population size than scenario E, for which response to selection was higher during early generations because of the moderately structured population. In scenario F, response to selection was slightly higher than in Scenario E in the last generations.
conclusionsApplication of MVT with a restriction on individual increases in inbreeding resulted in the largest response to selection during early generations, but if inbreeding depression is a concern, a minimum coancestry scenario is then a valuable alternative, in particular for a long-term response to selection.
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