Evidence map›Paper›PMID 35557715›Full record

ArticleFrontiers in plant science2022

Leveraging National Germplasm Collections to Determine Significantly Associated Categorical Traits in Crops: Upland and Pima Cotton as a Case Study.

Daniel Restrepo-Montoya, Amanda M Hulse-Kemp, Jodi A Scheffler, Candace H Haigler, Lori L Hinze, Janna Love, Richard G Percy, Don C Jones, James Frelichowski

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Daniel Restrepo-MontoyaDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States.
Amanda M Hulse-KempDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States.
Jodi A SchefflerCrop Genetics Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), Stoneville, MS, United States.
Candace H HaiglerDepartment of Crop and Soil Sciences, North Carolina State University, Raleigh, NC, United States.
Lori L HinzeCrop Germplasm Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), College Station, TX, United States.
Janna LoveCrop Germplasm Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), College Station, TX, United States.
Richard G PercyCrop Germplasm Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), College Station, TX, United States.
Don C JonesCotton Incorporated, Raleigh, NC, United States.
James FrelichowskiCrop Germplasm Research Unit, United States Department of Agriculture - Agricultural Research Service (USDA-ARS), College Station, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observable qualitative traits are relatively stable across environments and are commonly used to evaluate crop genetic diversity. Recently, molecular markers have largely superseded describing phenotypes in diversity surveys. However, qualitative descriptors are useful in cataloging germplasm collections and for describing new germplasm in patents, publications, and/or the Plant Variety Protection (PVP) system. This research focused on the comparative analysis of standardized cotton traits as represented within the National Cotton Germplasm Collection (NCGC). The cotton traits are named by 'descriptors' that have non-numerical sub-categories (descriptor states) reflecting the details of how each trait manifests or is absent in the plant. We statistically assessed selected accessions from three major groups of

Indexed as

breedingcategorical datacottoncrop germplasmtrait association

Identifiers

PMID35557715
PMCPMC9087864

What OpenQuestion holds

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Registered trials

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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.