Evidence map›Paper›PMID 31462918›Full record

ArticleEvolutionary applications2019

Artificial selection causes significant linkage disequilibrium among multiple unlinked genes in Australian wheat.

Reem Joukhadar, Hans D Daetwyler, Anthony R Gendall, Matthew J Hayden

Abstract read
In one paragraph

Article in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  12. Molecular Mapping and Genomics of Grain Yield in Durum Wheat: A Review.International journal of molecular sciences · 2020
    Review
  13. Allelic Variation at the Vernalization Response (Frontiers in plant science · 2020
    Article
  14. Article
  15. 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

4 authors.

Reem JoukhadarDepartment of Animal, Plant and Soil Sciences La Trobe University Bundoora Victoria Australia.ORCID https://orcid.org/0000-0001-7015-7298
Hans D DaetwylerAgriculture Victoria Research, AgriBio Centre for Agribioscience Bundoora Victoria Australia.
Anthony R GendallDepartment of Animal, Plant and Soil Sciences La Trobe University Bundoora Victoria Australia.
Matthew J HaydenAgriculture Victoria Research, AgriBio Centre for Agribioscience Bundoora Victoria Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Australia has one of the oldest modern wheat breeding programs worldwide although the crop was first introduced to the country in 1788. Breeders selected wheat with high adaptation to different Australian climates, while ensuring satisfactory yield and quality. This artificial selection left distinct genomic signatures that can be used to retrospectively understand breeding targets, and to detect economically important alleles. To study the effect of artificial selection on modern cultivars and cultivars released in different Australian states, we genotyped 482 Australian cultivars representing the history of wheat breeding in Australia since 1840. Computer simulation showed that 86 genomic regions were significantly affected by artificial selection. Characterization of 18 major genes known to affect wheat adaptation, yield, and quality revealed that many were affected by artificial selection and contained within regions under selection. Similarly, many reported QTL and genes for yield, quality, and adaptation were also contained in regions affected by artificial selection. These included

Indexed as

australian wheatflour qualitygrain yieldselective sweeps

Identifiers

PMID31462918
PMCPMC6708422

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.