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Abstract

Abstract

In breeding programs, balancing short-term genetic gain and loss of diversity per generation is essential to sustain a long-term genetic response. Depending on the dynamic of the species, the acceptable trade-off will be different. One of the most common and successful tools to achieve this management is the Optimal Contribution Selection (OCS), which readily mathematically formulate the trade-off between genetic gain and coancestry. However, OCS only accounts for the next generation gain and diversity, which can lead to suboptimality given the uncertainties of random mating and segregation. In this paper, we have extended the OCS by conveniently integrating a way to promote certain parental pairs, so that this method can account for the next t+2 generation. In the study case of Populus nigra, fully phenotyped and SNP array genotyped, we have shown that (i) a non negligible part of the long-term success of a breeding strategy depends on the implemented mating strategy, and (ii) favoring a compensatory mating can accelerate the selection without compromising the future diversity.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* https://data.inrae.fr/dataset.xhtml;jsessionid=78a120f633c985d5f2208463145d?persistentId=doi%3A10.15454%2F4FWANJ&version=DRAFT

Details

Title
How to reach a higher selection plateau with optimal contribution selection and compensatory mating?
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2021
Publication date
Feb 18, 2021
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Place of publication
Cold Spring Harbor
Country of publication
United States
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Milestone dates
2021-02-16 (Version 1)
ProQuest document ID
2505438615
Document URL
https://www.proquest.com/working-papers/how-reach-higher-selection-plateau-with-optimal/docview/2505438615/se-2?accountid=208611
Copyright
© 2021. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2021-03-26
Database
2 databases
  • Biological Science Database
  • Publicly Available Content Database