Evidence map›Paper›PMID 39965909›Full record

ArticleThe plant genome2025

Optimal implementation of genomic selection in clone breeding programs exemplified in potato: II. Effect of selection strategy and cross-selection method on long-term genetic gain.

Po-Ya Wu, Benjamin Stich, Stefanie Hartje, Katja Muders, Vanessa Prigge, Delphine Van Inghelandt

Abstract read
In one paragraph

Article in The plant genome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Bridging tradition and innovation: a review of computer simulations in plant breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  2. Article
  3. Transferability of genomic prediction models across market segments in potato and the effect of selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  4. 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

6 authors.

Po-Ya WuInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, Germany.ORCID https://orcid.org/0000-0002-7342-2867
Benjamin StichInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, Germany.ORCID https://orcid.org/0000-0001-6791-8068
Stefanie HartjeBöhm-Nordkartoffel Agrarproduktion GmbH & Co. OHG, Lüneburg, Germany.
Katja MudersNORIKA GmbH, Sanitz, Germany.
Vanessa PriggeSaKa Pflanzenzucht GmbH & Co. KG, Windeby, Germany.
Delphine Van InghelandtInstitute of Quantitative Genetics and Genomics of Plants, Heinrich Heine University, Düsseldorf, Germany.ORCID https://orcid.org/0000-0002-2819-843X

Funding

Fachagentur Nachwachsende Rohstoffe 22011818Fachagentur Nachwachsende Rohstoffe 2222NR078A
6 · The paper itself

Abstract

Different cross-selection (CS) methods incorporating genomic selection (GS) have been used in diploid species to improve long-term genetic gain and preserve diversity. However, their application to heterozygous and autotetraploid crops such as potato (Solanum tuberosum L.) is lacking so far. The objectives of our study were to (i) assess the effects of different CS methods and the incorporation of GS and genetic variability monitoring on both short- and long-term genetic gains compared to strategies using phenotypic selection (PS); (ii) evaluate the changes in genetic variability and the efficiency of converting diversity into genetic gain across different CS methods; and (iii) investigate the interaction effects between different genetic architectures and CS methods on long-term genetic gain. In our simulation results, implementing GS with optimal selected proportions had increased short- and long-term genetic gain compared to any PS strategy. The CS method considering additive and dominance effects to predict progeny mean based on simulated progenies (MEGV-O) achieved the highest long-term genetic gain among the assessed mean-based CS methods. Compared to MEGV-O and usefulness criteria (UC), the linear combination of UC and genome-wide diversity (called EUCD) maintained the same level of genetic gain but resulted in higher diversity and a lower number of fixed QTLs. Moreover, EUCD had a relatively high degree of efficiency in converting diversity into genetic gain. However, choosing the most appropriate weight to account for diversity in EUCD depends on the genetic architecture of the target trait and the breeder's objectives. Our results provide breeders with concrete methods to improve their potato breeding programs.

Indexed as

Genome, PlantPlant BreedingSelection, GeneticSolanum tuberosumGenetic VariationModels, GeneticPhenotypeQuantitative Trait Loci

Identifiers

PMID39965909
PMCPMC11835509

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LicenceCC BY
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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.