Evidence map›Paper›PMID 36365358›Full record

ArticlePlants (Basel, Switzerland)2022

Identification of Disease Resistance Parents and Genome-Wide Association Mapping of Resistance in Spring Wheat.

Muhammad Iqbal, Kassa Semagn, Diego Jarquin, Harpinder Randhawa, Brent D McCallum, Reka Howard, Reem Aboukhaddour, Izabela Ciechanowska, Klaus Strenzke, José Crossa and 4 more

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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  4. Review
  5. 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

14 authors at 6 institutions in 3 countries.

Muhammad IqbalDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture-Forestry Centre, Edmonton, AB T6G 2P5, Canada.
Kassa SemagnDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture-Forestry Centre, Edmonton, AB T6G 2P5, Canada.ORCID 0000-0001-6486-5685
Diego JarquinAgronomy Department, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-5098-2060
Harpinder RandhawaLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.
Brent D McCallumMorden Research and Development Centre, Agriculture and Agri-Food Canada, 101 Route 100, Morden, MB R6M 1Y5, Canada.
Reka HowardDepartment of Statistics, University of Nebraska-Lincoln, Lincoln, NE 68583, USA.
Reem AboukhaddourLethbridge Research and Development Centre, Agriculture and Agri-Food Canada, 5403 1st Avenue South, Lethbridge, AB T1J 4B1, Canada.
Izabela CiechanowskaDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture-Forestry Centre, Edmonton, AB T6G 2P5, Canada.
Klaus StrenzkeDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture-Forestry Centre, Edmonton, AB T6G 2P5, Canada.
José CrossaBiometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Km 45 Carretera, Veracruz 52640, Mexico.
J Jesus Céron-RojasBiometrics and Statistics Unit, International Maize and Wheat Improvement Center (CIMMYT), Km 45 Carretera, Veracruz 52640, Mexico.
Amidou N'DiayeCrop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.ORCID 0000-0001-7769-7801
Curtis PozniakCrop Development Centre and Department of Plant Sciences, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Dean SpanerDepartment of Agricultural, Food and Nutritional Science, University of Alberta, 4-10 Agriculture-Forestry Centre, Edmonton, AB T6G 2P5, Canada.
University of Alberta · CAAgriculture and Agri-Food Canada · CACentro Internacional de Mejoramiento de Maíz Y Trigo · MXUniversity of Saskatchewan · CAUniversity of Florida · USUniversity of Nebraska–Lincoln · US

Funding

Agriculture and Agriculture-Food Canada RES0039933Alberta Crop Industry Development Fund RES0042018Alberta Wheat Commission 20AWC90BNatural Sciences and Engineering Research Council CRDPJ 522311Saskatchewan Wheat Development Commission SWDC 148-191218Western Grains Research Foundation WGRF VarD2016
6 · The paper itself

Abstract

The likelihood of success in developing modern cultivars depend on multiple factors, including the identification of suitable parents to initiate new crosses, and characterizations of genomic regions associated with target traits. The objectives of the present study were to (a) determine the best economic weights of four major wheat diseases (leaf spot, common bunt, leaf rust, and stripe rust) and grain yield for multi-trait restrictive linear phenotypic selection index (RLPSI), (b) select the top 10% cultivars and lines (hereafter referred as genotypes) with better resistance to combinations of the four diseases and acceptable grain yield as potential parents, and (c) map genomic regions associated with resistance to each disease using genome-wide association study (GWAS). A diversity panel of 196 spring wheat genotypes was evaluated for their reaction to stripe rust at eight environments, leaf rust at four environments, leaf spot at three environments, common bunt at two environments, and grain yield at five environments. The panel was genotyped with the Wheat 90K SNP array and a few KASP SNPs of which we used 23,342 markers for statistical analyses. The RLPSI analysis performed by restricting the expected genetic gain for yield displayed significant (p < 0.05) differences among the 3125 economic weights. Using the best four economic weights, a subset of 22 of the 196 genotypes were selected as potential parents with resistance to the four diseases and acceptable grain yield. GWAS identified 37 genomic regions, which included 12 for common bunt, 13 for leaf rust, 5 for stripe rust, and 7 for leaf spot. Each genomic region explained from 6.6 to 16.9% and together accounted for 39.4% of the stripe rust, 49.1% of the leaf spot, 94.0% of the leaf rust, and 97.9% of the common bunt phenotypic variance combined across all environments. Results from this study provide valuable information for wheat breeders selecting parental combinations for new crosses to develop improved germplasm with enhanced resistance to the four diseases as well as the physical positions of genomic regions that confer resistance, which facilitates direct comparisons for independent mapping studies in the future.

Indexed as

association mappingdisease resistanceprairie provincespriority 1 diseasesrestrictive linear phenotypic selection indexselection indextrait donorwestern Canada

Identifiers

PMID36365358
PMCPMC9658635
OpenAlexW4307621439

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.