Evidence map›Paper›PMID 28780586›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Is there an optimum level of diversity in utilization of genetic resources?

Manfred Mayer, Sandra Unterseer, Eva Bauer, Natalia de Leon, Bernardo Ordas, Chris-Carolin Schön

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Genomic loci associated with Fusarium stalk rot resistance and related agronomic traits in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
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  7. Optimizing selection based on BLUPs or BLUEs in multiple sets of genotypes differing in their population parameters.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  8. Article
  9. Influence of the mating design on the additive genetic variance in plant breeding populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  10. Review
  11. Article
  12. Theoretical and experimental assessment of genome-based prediction in landraces of allogamous crops.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. High-resolution association mapping with libraries of immortalized lines from ancestral landraces.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. Intercontinental trials reveal stable QTL for Northern corn leaf blight resistance in Europe and in Brazil.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Article
  18. Article
  19. Article
  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

6 authors.

Manfred MayerPlant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany.
Sandra UnterseerPlant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany.
Eva BauerPlant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany.
Natalia de LeonDepartment of Agronomy, University of Wisconsin-Madison, Madison, WI, USA, 53706.
Bernardo OrdasMisión Biológica de Galicia, Spanish National Research Council (CSIC), 36080, Pontevedra, Spain.
Chris-Carolin SchönPlant Breeding, TUM School of Life Sciences Weihenstephan, Technical University of Munich, 85354, Freising, Germany. chris.schoen@tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageCapitalizing upon the genomic characteristics of long-term random mating populations, sampling from pre-selected landraces is a promising approach for broadening the genetic base of elite germplasm for quantitative traits. Genome-enabled strategies for harnessing untapped allelic variation of landraces are currently evolving. The success of such approaches depends on the choice of source material. Thus, the analysis of different strategies for sampling allelic variation from landraces and their impact on population diversity and linkage disequilibrium (LD) is required to ensure the efficient utilization of diversity. We investigated the impact of different sampling strategies on diversity parameters and LD based on high-density genotypic data of 35 European maize landraces each represented by more than 20 individuals. On average, five landraces already captured ~95% of the molecular diversity of the entire dataset. Within landraces, absence of pronounced population structure, consistency of linkage phases and moderate to low LD levels were found. When combining data of up to 10 landraces, LD decay distances decreased to a few kilobases. Genotyping 24 individuals per landrace with 5k SNPs was sufficient for obtaining representative estimates of diversity and LD levels to allow an informed pre-selection of landraces. Integrating results from European with Central and South American landraces revealed that European landraces represent a unique and diverse spectrum of allelic variation. Sampling strategies for harnessing allelic variation from landraces depend on the study objectives. If the focus lies on the improvement of elite germplasm for quantitative traits, we recommend sampling from pre-selected landraces, as it yields a wide range of diversity, allows optimal marker imputation, control for population structure and avoids the confounding effects of strong adaptive alleles.

Indexed as

Genetics, PopulationGenetic VariationLinkage DisequilibriumPlant BreedingAllelesGenotypePhenotypePolymorphism, Single NucleotideZea mays

Identifiers

PMID28780586
PMCPMC5641276

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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.