Evidence map›Paper›PMID 32206941›Full record

ArticleRice (New York, N.Y.)2020

Identification of Novel QTL Conferring Sheath Blight Resistance in Two Weedy Rice Mapping Populations.

David M Goad, Yulin Jia, Andrew Gibbons, Yan Liu, David Gealy, Ana L Caicedo, Kenneth M Olsen

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Frontiers in plant science · 2022
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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 6 institutions in 1 country.

David M GoadDepartment of Biology, Washington University in St. Louis, 1 Brookings Drive, Campus Box 1137, St. Louis, MO, 63110, USA.
Yulin JiaUnited States Department of Agriculture-Agricultural Research Service, Dale Bumpers National Rice Research Center, 2890 HWY 130 E, Stuttgart, AR, 72160, USA. Yulin.Jia@USDA.GOV.
Andrew GibbonsUniversity of Arkansas Rice Research and Extension Center, 2900 AR-130, Stuttgart, AR, 72160, USA.
Yan LiuPresent address: Department of Plant Pathology, Washington State University, Pullman, WA, 99164, USA.
David GealyUnited States Department of Agriculture-Agricultural Research Service, Dale Bumpers National Rice Research Center, 2890 HWY 130 E, Stuttgart, AR, 72160, USA.
Ana L CaicedoDepartment of Biology, University of Massachusetts, Amherst, USA.
Kenneth M OlsenDepartment of Biology, Washington University in St. Louis, 1 Brookings Drive, Campus Box 1137, St. Louis, MO, 63110, USA.
Washington University in St. Louis · USAgricultural Research Service · USArkansas Department of Health · USDale Bumpers National Rice Research Center · USUniversity of Massachusetts Amherst · USWashington State University · US

Funding

National Science Foundation NSF award IOS-1032023
6 · The paper itself

Abstract

backgroundRice sheath blight (ShB) disease, caused by the pathogenic fungus Rhizoctonia solani, causes significant yield losses globally. US weedy rice populations, which are de-domesticated forms of indica and aus cultivated rice, appear to be more resistant to ShB than local japonica cultivated rice. We mapped quantitative trait loci (QTL) associated with ShB resistance using two F

resultsWe identified nine ShB resistance QTL across both mapping populations. Five were attributable to alleles that affect plant height (PH) and heading date (HD), two growth traits that are known to be highly correlated with ShB resistance. By utilizing an approach that treated growth traits as covariates in the mapping model, we were able to infer that the remaining four QTL are involved in ShB resistance. Two of these, qShB1-2 and qShB4, are different from previously identified ShB QTL and represent new candidates for further study.

conclusionOur findings suggest that ShB resistance can be improved through favorable plant growth traits and the combined effects of small to moderate-effect resistance QTL. Additionally, we show that including PH and HD as covariates in QTL mapping models is a powerful way to identify new ShB resistance QTL.

Indexed as

Genotyping-by-sequencingQuantitative trait lociRiceSheath blight diseaseWeeds

Identifiers

PMID32206941
PMCPMC7090113
OpenAlexW3012611927

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.