Evidence map›Paper›PMID 37894848›Full record

ArticleInternational journal of molecular sciences2023

QTLs and Candidate Loci Associated with Drought Tolerance Traits of Kaybonnet x ZHE733 Recombinant Inbred Lines Rice Population.

Yheni Dwiningsih, Julie Thomas, Anuj Kumar, Chirag Gupta, Navdeep Gill, Charles Ruiz, Jawaher Alkahtani, Niranjan Baisakh, Andy Pereira

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 18% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 4 institutions in 1 country.

Yheni DwiningsihDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.ORCID 0000-0001-9800-1009
Julie ThomasDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
Anuj KumarDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.ORCID 0000-0003-0305-5376
Chirag GuptaWaisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA.
Navdeep GillDepartment of Biological Sciences, Nova Southeastern University, Fort Lauderdale, FL 33314, USA.
Charles RuizDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
Jawaher AlkahtaniDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.ORCID 0000-0002-0697-9016
Niranjan BaisakhDepartment of School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0001-8733-0923
Andy PereiraDepartment of Crop, Soil, and Environmental Sciences, Faculty of Agriculture Food and Life Sciences, University of Arkansas System Division of Agriculture, Fayetteville, AR 72701, USA.
University of Arkansas System · USLouisiana State University · USNova Southeastern University · USUniversity of Wisconsin–Madison · US

Funding

National Science Foundation NSF-EPSCoR RII Track-2 FEC: "System genetics studies on rice genome for analysis of grain yield and quality under heat stress" 1826836the NSF-MCB: "System genetics analysis of photosynthetic carbon metabolism in rice" 1716844
6 · The paper itself

Abstract

Rice is the most important staple crop for the sustenance of the world's population, and drought is a major factor limiting rice production. Quantitative trait locus (QTL) analysis of drought-resistance-related traits was conducted on a recombinant inbred line (RIL) population derived from the self-fed progeny of a cross between the drought-resistant

Indexed as

OryzaQuantitative Trait LociChromosome MappingDrought ResistancePhenotypecandidate genesdrought stressgene expressionQTLsrice

Identifiers

PMID37894848
PMCPMC10606886
OpenAlexW4387638550

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.