Evidence map›Paper›PMID 31594984›Full record

ArticleScientific reports2019

QTL mapping and genome-wide prediction of heat tolerance in multiple connected populations of temperate maize.

Delphine Van Inghelandt, Felix P Frey, David Ries, Benjamin Stich

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

19 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  11. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
    Article
  12. Review
  13. Review
  14. Heat Stress-Mediated Constraints in Maize (Frontiers in plant science · 2022
    Review
  15. Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
    Review
  16. 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
  17. Article
  18. Root Growth Adaptation to Climate Change in Crops.Frontiers in plant science · 2020
    Review
  19. Review
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

4 authors at 3 institutions in 1 country.

Delphine Van InghelandtInstitute for Quantitative Genetics and Genomics of Plants, Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, 40225, Düsseldorf, Germany.
Felix P FreyMax Planck Institute for Plant Breeding Research, 50829, Köln, Germany.
David RiesInstitute for Quantitative Genetics and Genomics of Plants, Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, 40225, Düsseldorf, Germany.
Benjamin StichInstitute for Quantitative Genetics and Genomics of Plants, Cluster of Excellence on Plant Sciences (CEPLAS), Heinrich Heine University, 40225, Düsseldorf, Germany. benjamin.stich@hhu.de.
Heinrich Heine University Düsseldorf · DECluster of Excellence on Plant Sciences · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change will lead to increasing heat stress in the temperate regions of the world. The objectives of this study were the following: (I) to assess the phenotypic and genotypic diversity of traits related to heat tolerance of maize seedlings and dissect their genetic architecture by quantitative trait locus (QTL) mapping, (II) to compare the prediction ability of genome-wide prediction models using various numbers of KASP (Kompetitive Allele Specific PCR genotyping) single nucleotide polymorphisms (SNPs) and RAD (restriction site-associated DNA sequencing) SNPs, and (III) to examine the prediction ability of intra-, inter-, and mixed-pool calibrations. For the heat susceptibility index of five of the nine studied traits, we identified a total of six QTL, each explaining individually between 7 and 9% of the phenotypic variance. The prediction abilities observed for the genome-wide prediction models were high, especially for the within-population calibrations, and thus, the use of such approaches to select for heat tolerance at seedling stage is recommended. Furthermore, we have shown that for the traits examined in our study, populations created from inter-pool crosses are suitable training sets to predict populations derived from intra-pool crosses.

Indexed as

AllelesChromosome MappingGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociSeedlingsThermotoleranceZea mays

Identifiers

PMID31594984
PMCPMC6783442
OpenAlexW2980203168

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.