Evidence map›Paper›PMID 28707250›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing.

Elsa Sverrisdóttir, Stephen Byrne, Ea Høegh Riis Sundmark, Heidi Øllegaard Johnsen, Hanne Grethe Kirk, Torben Asp, Luc Janss, Kåre L Nielsen

Abstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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

47 citing papers in PubMed.

  1. Article
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  4. PotatoMASH is a cost-effective marker system for genomic prediction in potato based on short-read haplotypes.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  11. Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  12. Article
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  15. Article
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  18. Recent Advances in Molecular Improvement for Potato Tuber Traits.International journal of molecular sciences · 2022
    Review
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  20. 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

8 authors.

Elsa SverrisdóttirDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark. esv@bio.aau.dk.ORCID http://orcid.org/0000-0001-9732-7912
Stephen ByrneDepartment of Molecular Biology and Genetics, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Ea Høegh Riis SundmarkDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.
Heidi Øllegaard JohnsenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.
Hanne Grethe KirkLKF Vandel, Grindstedvej 55, 7184, Vandel, Denmark.
Torben AspDepartment of Molecular Biology and Genetics, Aarhus University, Forsøgsvej 1, 4200, Slagelse, Denmark.
Luc JanssDepartment of Molecular Biology and Genetics, Aarhus University, Blichers Allé 20, 8830, Tjele, Denmark.
Kåre L NielsenDepartment of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7H, 9220, Aalborg, Denmark.

Funding

The Danish Council of Strategic Research 11-116190The Danish Council of Strategic Research 12-132452
6 · The paper itself

Abstract

key messageGenomic prediction models for starch content and chipping quality show promising results, suggesting that genomic selection is a feasible breeding strategy in tetraploid potato. Genomic selection uses genome-wide molecular markers to predict performance of individuals and allows selections in the absence of direct phenotyping. It is regarded as a useful tool to accelerate genetic gain in breeding programs, and is becoming increasingly viable for crops as genotyping costs continue to fall. In this study, we have generated genomic prediction models for starch content and chipping quality in tetraploid potato to facilitate varietal development. Chipping quality was evaluated as the colour of a potato chip after frying following cold induced sweetening. We used genotyping-by-sequencing to genotype 762 offspring, derived from a population generated from biparental crosses of 18 tetraploid parents. Additionally, 74 breeding clones were genotyped, representing a test panel for model validation. We generated genomic prediction models from 171,859 single-nucleotide polymorphisms to calculate genomic estimated breeding values. Cross-validated prediction correlations of 0.56 and 0.73 were obtained within the training population for starch content and chipping quality, respectively, while correlations were lower when predicting performance in the test panel, at 0.30-0.31 and 0.42-0.43, respectively. Predictions in the test panel were slightly improved when including representatives from the test panel in the training population but worsened when preceded by marker selection. Our results suggest that genomic prediction is feasible, however, the extremely high allelic diversity of tetraploid potato necessitates large training populations to efficiently capture the genetic diversity of elite potato germplasm and enable accurate prediction across the entire spectrum of elite potatoes. Nonetheless, our results demonstrate that GS is a promising breeding strategy for tetraploid potato.

Indexed as

TetraploidyGenotypeLinear ModelsModels, GeneticPlant BreedingPlant TubersPolymorphism, Single NucleotideSolanum tuberosumStarchStarch

Identifiers

PMID28707250
PMCPMC5606954

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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.