Evidence map›Paper›PMID 27864597›Full record

ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2017

Genome-wide association mapping and agronomic impact of cowpea root architecture.

James D Burridge, Hannah M Schneider, Bao-Lam Huynh, Philip A Roberts, Alexander Bucksch, Jonathan P Lynch

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In one paragraph

Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
15.8field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Article
  3. Genome-Wide Association Study for Drought Tolerance in Cowpea (International journal of molecular sciences · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. OMICS in Fodder Crops: Applications, Challenges, and Prospects.Current issues in molecular biology · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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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

6 authors at 3 institutions in 1 country.

James D BurridgeDepartment of Plant Science, The Pennsylvania State University, 221 Tyson Building, University Park, PA, 16802, USA.
Hannah M SchneiderDepartment of Plant Science, The Pennsylvania State University, 221 Tyson Building, University Park, PA, 16802, USA.
Bao-Lam HuynhDepartment of Nematology, University of California, Riverside, CA, USA.
Philip A RobertsDepartment of Nematology, University of California, Riverside, CA, USA.
Alexander BuckschSchools of Biology and Interactive Computing, George Institute of Technology, Atlanta, GA, USA.
Jonathan P LynchDepartment of Plant Science, The Pennsylvania State University, 221 Tyson Building, University Park, PA, 16802, USA. JPL4@psu.edu.
Pennsylvania State University · USUniversity of California, Riverside · USGeorgia Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

key messageGenetic analysis of data produced by novel root phenotyping tools was used to establish relationships between cowpea root traits and performance indicators as well between root traits and Striga tolerance. Selection and breeding for better root phenotypes can improve acquisition of soil resources and hence crop production in marginal environments. We hypothesized that biologically relevant variation is measurable in cowpea root architecture. This study implemented manual phenotyping (shovelomics) and automated image phenotyping (DIRT) on a 189-entry diversity panel of cowpea to reveal biologically important variation and genome regions affecting root architecture phenes. Significant variation in root phenes was found and relatively high heritabilities were detected for root traits assessed manually (0.4 for nodulation and 0.8 for number of larger laterals) as well as repeatability traits phenotyped via DIRT (0.5 for a measure of root width and 0.3 for a measure of root tips). Genome-wide association study identified 11 significant quantitative trait loci (QTL) from manually scored root architecture traits and 21 QTL from root architecture traits phenotyped by DIRT image analysis. Subsequent comparisons of results from this root study with other field studies revealed QTL co-localizations between root traits and performance indicators including seed weight per plant, pod number, and Striga (Striga gesnerioides) tolerance. The data suggest selection for root phenotypes could be employed by breeding programs to improve production in multiple constraint environments.

Indexed as

Genetic Association StudiesChromosome MappingGenetic MarkersModels, GeneticPhenotypePlant BreedingPlant RootsPolymorphism, Single NucleotideQuantitative Trait LociVignaGenetic Markers

Identifiers

PMID27864597
OpenAlexW2553079453

What OpenQuestion holds

Textmetadata
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.