Evidence map›Paper›PMID 31586227›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2020

QTL analysis and fine mapping of a QTL for yield-related traits in wheat grown in dry and hot environments.

Habtamu Tura, James Edwards, Vijay Gahlaut, Melissa Garcia, Beata Sznajder, Ute Baumann, Fahimeh Shahinnia, Matthew Reynolds, Peter Langridge, Harindra Singh Balyan and 3 more

Erratum issuedOpen access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
13.4field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 76 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Fine mapping of a major QTL, qKl-1BL controlling kernel length in common wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
  8. Article
  9. Article
  10. An Overview of Factors Affecting the Functional Quality of Common Wheat (International journal of molecular sciences · 2023
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. A multi-environment framework to evaluate the adaptation of wheat (Triticum aestivum) to heat stress.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 7 institutions in 5 countries.

Habtamu TuraSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
James EdwardsSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Vijay GahlautDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India.
Melissa GarciaSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia. melissa.garcia@adelaide.edu.au.ORCID http://orcid.org/0000-0001-9825-273X
Beata SznajderSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Ute BaumannSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Fahimeh ShahinniaSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Matthew ReynoldsInternational Maize and Wheat Improvement Center (CIMMYT), Int. AP 6-641, 06600, Mexico, D.F., Mexico.
Peter LangridgeSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Harindra Singh BalyanDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India.
Pushpendra K GuptaDepartment of Genetics and Plant Breeding, Ch. Charan Singh University, Meerut, India.
Thorsten SchnurbuschSchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
Delphine FleurySchool of Agriculture, Food and Wine, Waite Campus, University of Adelaide, PMB1, Glen Osmond, SA, 5064, Australia.
The University of Adelaide · AUChaudhary Charan Singh University · INBavarian State Research Center for Agriculture · DECentro Internacional de Mejoramiento de Maíz Y Trigo · MXEY Technologies (United States) · USJulius Kühn-Institut · DELeibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DE

Funding

Australian Research Council Industrial Transformation Research Hub for Wheat in a Hot and Dry Climate IH130200027
6 · The paper itself

Abstract

Genetic control of grain yield and phenology was examined in the Excalibur/Kukri doubled haploid mapping population grown in 32 field experiments across the climatic zones of southern Australia, India and north-western Mexico where the wheat crop experiences drought and heat stress. A total of 128 QTL were identified for four traits: grain yield, thousand grain weight (TGW), days to heading and grain filling duration. These QTL included 24 QTL for yield and 27 for TGW, showing significant interactions with the environment (Q * E). We also identified 14 QTL with a significant, small main effects on yield across environments. The study focussed on a region of chromosome 1B where two main effect QTL were found for yield and TGW without the confounding effect of phenology. Excalibur was the source of favourable alleles: QYld.aww-1B.2 with a peak at 149.5-150.1 cM and QTgw.aww-1B at 168.5-171.4 cM. We developed near isogenic lines (NIL) for the interval including QYld.aww-1B.2 and QTgw.aww-1B and evaluated them under semi-controlled conditions. Significant differences in four pairs of NIL were observed for grain yield but not for TGW, confirming a positive effect of the Excalibur allele for QYld.aww-1B.2. The interval containing QYld.aww-1B.2 was narrowed down to 2.9 cM which corresponded to a 2.2 Mbp genomic region on the chromosome 1B genomic reference sequence of cv. Chinese Spring and contained 39 predicted genes.

Indexed as

DroughtsEnvironmentPhysical Chromosome MappingChromosome SegregationChromosomes, PlantGenes, PlantHaploidyPhenotypeQuantitative Trait, HeritableQuantitative Trait LociSeasonsSeedsTriticum

Identifiers

PMID31586227
PMCPMC7990757
OpenAlexW2977915306

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.