Evidence map›Paper›PMID 36912976›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023

An international wheat diversity panel reveals novel sources of genetic resistance to tan spot in Australia.

Julian Taylor, Dorthe Jorgensen, Caroline S Moffat, Ken J Chalmers, Rebecca Fox, Grant J Hollaway, Melissa J Cook, Stephen M Neate, Pao Theen See, Manisha Shankar

Open access · hybridFull text read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 6 institutions in 1 country.

Julian TaylorSchool of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, SA, 5064, Australia. julian.taylor@adelaide.edu.au.ORCID http://orcid.org/0000-0002-9145-052X
Dorthe JorgensenDepartment of Primary Industries and Regional Development, Agriculture and Food, 3 Baron Hay Ct, South Perth, WA, 6151, Australia.
Caroline S MoffatCentre for Crop Disease and Management, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia.
Ken J ChalmersSchool of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, SA, 5064, Australia.
Rebecca FoxSchool of Agriculture, Food and Wine, Waite Research Institute, University of Adelaide, Glen Osmond, SA, 5064, Australia.
Grant J HollawayAgriculture Victoria, Private Bag 260, Horsham, VIC, 3401, Australia.
Melissa J CookAgriculture Victoria, Private Bag 260, Horsham, VIC, 3401, Australia.
Stephen M NeateCentre for Crop Health, University of Southern Queensland, Toowoomba, QLD, 4350, Australia.
Pao Theen SeeCentre for Crop Disease and Management, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA, 6102, Australia.
Manisha ShankarDepartment of Primary Industries and Regional Development, Agriculture and Food, 3 Baron Hay Ct, South Perth, WA, 6151, Australia. manisha.shankar@dpird.wa.gov.au.
The University of Adelaide · AUAgriculture Victoria · AUCurtin University · AUDepartment of Primary Industries and Regional Development · AUThe University of Western Australia · AUUniversity of Southern Queensland · AU

Funding

Grains Research and Development Corporation DAW00247
6 · The paper itself

Abstract

key messageNovel sources of genetic resistance to tan spot in Australia have been discovered using one-step GWAS and genomic prediction models that accounts for additive and non-additive genetic variation. Tan spot is a foliar disease in wheat caused by the fungal pathogen Pyrenophora tritici-repentis (Ptr) and has been reported to generate up to 50% yield losses under favourable disease conditions. Although farming management practices are available to reduce disease, the most economically sustainable approach is establishing genetic resistance through plant breeding. To further understand the genetic basis for disease resistance, we conducted a phenotypic and genetic analysis study using an international diversity panel of 192 wheat lines from the Maize and Wheat Improvement Centre (CIMMYT), the International Centre for Agriculture in the Dry Areas (ICARDA) and Australian (AUS) wheat research programmes. The panel was evaluated using Australian Ptr isolates in 12 experiments conducted in three Australian locations over two years, with assessment for tan spot symptoms at various plant development stages. Phenotypic modelling indicated high heritability for nearly all tan spot traits with ICARDA lines displaying the greatest average resistance. We then conducted a one-step whole-genome analysis of each trait using a high-density SNP array, revealing a large number of highly significant QTL exhibiting a distinct lack of repeatability across the traits. To better summarise the genetic resistance of the lines, a one-step genomic prediction of each tan spot trait was conducted by combining the additive and non-additive predicted genetic effects of the lines. This revealed multiple CIMMYT lines with broad genetic resistance across the developmental stages of the plant which can be utilised in Australian wheat breeding programmes to improve tan spot disease resistance.

Indexed as

Quantitative Trait LociTriticumAscomycotaAustraliaChromosome MappingDisease ResistancePlant BreedingPlant Diseases

Identifiers

PMID36912976
PMCPMC10011302
OpenAlexW4324020943

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read63
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.