Evidence map›Paper›PMID 38632129›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2024

Genetic mapping reveals the complex genetic architecture controlling slow canopy wilting in soybean.

Ethan Menke, Clinton J Steketee, Qijian Song, William T Schapaugh, Thomas E Carter, Benjamin Fallen, Zenglu Li

Open access · hybridAbstract read
In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.2field-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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Identification of quantitative trait loci qPL6 for petiole length in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  5. Identifying canopy wilting QTLs and evaluating remote sensing approaches for selecting drought-tolerant soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  6. Article
  7. Article
  8. 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 1 country.

Ethan MenkeInstitute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, USA.
Clinton J SteketeeInstitute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, USA.
Qijian SongSoybean Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, USA.
William T SchapaughDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.
Thomas E CarterDepartment of Crop and Soil Sciences, North Carolina State University and USDA-ARS, Raleigh, NC, USA.
Benjamin FallenDepartment of Crop and Soil Sciences, North Carolina State University and USDA-ARS, Raleigh, NC, USA.
Zenglu LiInstitute of Plant Breeding, Genetics, and Genomics, and Department of Crop and Soil Sciences, University of Georgia, Athens, GA, USA. zli@uga.edu.ORCID http://orcid.org/0000-0003-4114-9509
University of Georgia · USNorth Carolina State University · USAgricultural Research Service · USKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In soybean [Glycine max (L.) Merr.], drought stress is the leading cause of yield loss from abiotic stress in rain-fed US growing areas. Only 10% of the US soybean production is irrigated; therefore, plants must possess physiological mechanisms to tolerate drought stress. Slow canopy wilting is a physiological trait that is observed in a few exotic plant introductions (PIs) and may lead to yield improvement under drought stress. Canopy wilting of 130 recombinant inbred lines (RILs) derived from Hutcheson × PI 471938 grown under drought stress was visually evaluated and genotyped with the SoySNP6K BeadChip. Over four years, field evaluations of canopy wilting were conducted under rainfed conditions at three locations across the US (Georgia, Kansas, and North Carolina). Due to the variation in weather among locations and years, the phenotypic data were collected from seven environments. Substantial variation in canopy wilting was observed among the genotypes in the RIL population across environments. Three QTLs were identified for canopy wilting from the RIL population using composite interval mapping on chromosomes (Chrs) 2, 8, and 9 based on combined environmental analyses. These QTLs inherited the favorable alleles from PI 471938 and accounted for 11, 10, and 14% of phenotypic variation, respectively. A list of 106 candidate genes were narrowed down for these three QTLs based on the published information. The QTLs identified through this research can be used as targets for further investigation to understand the mechanisms of slow canopy wilting. These QTLs could be deployed to improve drought tolerance through a targeted selection of the genomic regions from PI 471938.

Indexed as

Glycine maxQuantitative Trait LociChromosome MappingDroughtsGenotypePhenotype

Identifiers

PMID38632129
PMCPMC11024021
OpenAlexW4394872615

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.