Evidence map›Paper›PMID 42050391›Full record

ArticleGenetics, selection, evolution : GSE2026

Restructuring breeding programs 1: Integration of diversity.

Tobias A M Niehoff, Jan Ten Napel, Mario P L Calus

Abstract read
In one paragraph

Article in Genetics, selection, evolution : GSE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tobias A M NiehoffAnimal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, 6700AH, Wageningen, the Netherlands.ORCID http://orcid.org/0000-0003-3046-6699
Jan Ten NapelAnimal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, 6700AH, Wageningen, the Netherlands.ORCID http://orcid.org/0000-0002-1918-9080
Mario P L CalusAnimal Breeding and Genomics, Wageningen University & Research, Droevendaalsesteeg 1, P.O. Box 338, 6700AH, Wageningen, the Netherlands. mario.calus@wur.nl.ORCID http://orcid.org/0000-0002-3213-704X

Funding

Dutch Ministry of Economic Affairs Breed4Food (TKI Agri & Food Project LWV20054)
6 · The paper itself

Abstract

backgroundClosed populations are always at risk of losing genetic diversity needed for long-term genetic progress. When selecting, breeders are sometimes afraid of “missing out” on rare and/or beneficial genetic variation. Such genetic variation missing in a high-performing nucleus population may be found in low performing animals. The gap in performance level may hamper utilization of external genetic variation in the nucleus. In this study, we test different indicator variables to select animals as donors of diversity to be added to a commercial nucleus population via simulations. We also test a strategy of integration of external diversity found in those donors into an elite population in an ongoing genomic selection breeding program that employs optimum contribution selection. The core idea of restructuring breeding programs is to create layers through which diversity is gradually “upcycled” until it is ready for integration into the elite population. This strategy is assessed by means of simulation of a purebred pig breeding program over a time horizon of 20 generations. We screened boars as diversity donor candidates that have been selected in previous generations.

resultsThe introduced variation did not help to outperform the genetic progress achieved by the control scenario (no diversity introduction) in any of the tested scenarios, though some scenarios did not perform much worse. Generally, the more resources are spent on the upcycling-component, the more the diversity in the elite can be increased, but this compromises genetic gain because less resources are available to advance the elite. Although the effects on genetic gain and diversity were similar among the diversity-selection-criteria, selecting boars with the lowest kinship to the elite population was slightly more effective and is the easiest strategy to implement, relative to selecting boars with unique haplotypes or haplotypes with a higher breeding value than in the elite. The efficiency of turning genetic diversity into genetic gain was always enhanced in breeding programs investing in diversity introduction.

conclusionsThough the tested layered breeding programs did not show an advantage in terms of gain over the control scenario, the strategies may be relevant for real breeding programs (1) if a population is lacking diversity for a trait or (2) if new traits become important.

Indexed as

BreedingGenetic VariationAnimalsComputer SimulationMaleModels, GeneticSelection, GeneticSwine

Identifiers

PMID42050391
PMCPMC13123036

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.