Evidence map›Paper›PMID 42286450›Full record

ArticleBMC plant biology2026

Quantitative trait loci analysis identifying novel genomic regions for off-target dicamba tolerance in soybean [Glycine max (L.) Merr.].

Dongho Lee, Emanuel Ferrari do Nascimento, Andrea Acuna-Galindo, Derrick Harrison, Liliana Florez-Palacios, Rafael Goncalves Marmo, Chengjun Wu, Daniel Rogers, Francia Ravelombola, Feng Lin and 3 more

Abstract read
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In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Dongho LeeDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Emanuel Ferrari do NascimentoDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Andrea Acuna-GalindoDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Derrick HarrisonDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Liliana Florez-PalaciosDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Rafael Goncalves MarmoDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Chengjun WuDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Daniel RogersDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA.
Francia RavelombolaPlant Science & Technology, University of Missouri, Columbia, MO, USA.
Feng LinPlant Science & Technology, University of Missouri, Columbia, MO, USA.
James G ShannonPlant Science & Technology, University of Missouri, Columbia, MO, USA.
Henry T NguyenPlant Science & Technology, University of Missouri, Columbia, MO, USA.
Caio C VieiraDepartment of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA. caioc@uark.edu.ORCID http://orcid.org/0000-0001-5428-3753

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Off-target dicamba exposure continues to cause substantial injury and yield loss in non-dicamba-tolerant (non-DT) soybean production areas, creating an urgent need for new cultivars with inherent tolerance to unintended dicamba exposure. To support the development of the soybean breeding pipeline, this study aimed to identify genomic regions associated with natural variation for off-target dicamba tolerance. A bi-parental recombinant inbred line population of 188 F

Indexed as

DicambaGlycine maxHerbicidesQuantitative Trait LociChromosome MappingGenome, PlantDicambaHerbicidesDetoxificationDicambaGene expression atlasNucleotide divergenceQuantitative trait lociSoybean

Identifiers

PMID42286450
PMCPMC13487925

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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.