Evidence map›Paper›PMID 30018626›Full record

ArticleFrontiers in plant science2018

Evaluation of the Potential for Genomic Selection to Improve Spring Wheat Resistance to Fusarium Head Blight in the Pacific Northwest.

Haixiao Dong, Rui Wang, Yaping Yuan, James Anderson, Michael Pumphrey, Zhiwu Zhang, Jianli Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
11.2field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 69 citations in OpenAlex.

  1. Genome-wide association mapping of native QTLs for Fusarium head blight resistance in US winter wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  2. Review
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  9. Comparison of single-trait and multi-trait genomic predictions on agronomic and disease resistance traits in spring wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
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  19. Germplasms, genetics and genomics for better control of disastrous wheat Fusarium head blight.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  20. 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

7 authors at 4 institutions in 2 countries.

Haixiao DongCollege of Plant Sciences, Jilin University, Changchun, China.
Rui WangDepartment of Plant Sciences, University of Idaho, Aberdeen, ID, United States.
Yaping YuanCollege of Plant Sciences, Jilin University, Changchun, China.
James AndersonDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN, United States.
Michael PumphreyDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Zhiwu ZhangDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United States.
Jianli ChenDepartment of Plant Sciences, University of Idaho, Aberdeen, ID, United States.
Washington State University · USUniversity of Idaho · USJilin University · CNUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusarium Head Blight (FHB) has emerged in spring wheat production in Pacific Northwest during the last decade due to factors including climate changes, crop rotations, and tillage practices. A breeding population with 170 spring wheat lines was established and screened over a 2-year period in multiple locations for FHB incidence (INC), severity (SEV), and deposition of the mycotoxin, deoxynivalenol (DON). A genome-wide association study suggested that the detectable number of genetic loci and effects are limited for marker-assisted selection. In conjunction with the success of breeding on FHB resistance in other programs, genomic selection (GS) was suggested as a better option. To evaluate the prediction accuracy of GS in the current breeding population, we conducted a variety of validations by varying proportions of testing populations and cohorts based on both FHB resistance and market class, including soft white spring (SWS), hard white spring (HWS), and hard red spring (HRS). We found that INC had higher heritability, higher correlation across years and locations, and higher prediction accuracy than SEV and DON. Prediction accuracy varied among the scenarios that restricted the testing population to a certain cohort. For a small set of newly developed or introduced lines (<17), prediction accuracy will be about 60% if the lines have similar genetic relationships as those among the current 170-line training population. However, we expect a lower prediction accuracy if new lines are selected for a specific characteristic, such as FHB resistance or market class. With the exception of DON in the SWS lines, the current training population is capable of making reasonably accurate predictions for FHB-resistant lines in most of the major market classes. For SWS, adding more lines or further phenotyping is required to improve prediction accuracy. These results demonstrate the potential and challenges of GS, especially for developing FHB-resistant varieties in the SWS market class.

Indexed as

cross validationcultivarsdisease resistancefusarium head blightgenomic selectionmolecular breedingPacific Northwestwheat

Identifiers

PMID30018626
PMCPMC6037981
OpenAlexW2808111378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.