Evidence map›Paper›PMID 32649700›Full record

ArticlePloS one2020

Characterizing the impact of an exotic soybean line on elite cultivar development.

Benjamin B Stewart-Brown, Justin N Vaughn, Thomas E Carter, Zenglu Li

Abstract read
In one paragraph

Article in PloS one, 2020. 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. 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

4 authors.

Benjamin B Stewart-BrownDepartment of Crop and Soil Sciences, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States of America.
Justin N VaughnGenomics and Bioinformatics Research Unit, USDA-ARS, Athens, GA, United States of America.
Thomas E CarterSoybean & Nitrogen Fixation Unit, USDA-ARS, Raleigh, NC, United States of America.
Zenglu LiDepartment of Crop and Soil Sciences, Institute of Plant Breeding, Genetics and Genomics, University of Georgia, Athens, GA, United States of America.ORCID 0000-0003-4114-9509

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic diversity of North American soybean cultivars has been largely influenced by a small number of ancestors. High yielding breeding lines that possess exotic pedigrees have been developed, but identifying beneficial exotic alleles has been difficult as a result of complex interactions of yield alleles with genetic backgrounds and environments as well as the highly quantitative nature of yield. PI 416937 has been utilized in the development of many high yielding lines that have been entered into the USDA Southern States Uniform Tests over the past ~20 years. The primary goal of this research was to identify genomic regions under breeding selection from PI 416937 and introduce a methodology for identifying and potentially utilizing beneficial diversity from lines prevalent in the ancestry of elite cultivars. Utilizing SoySNP50K Infinium BeadChips, 52 high yielding PI 416937-derived lines as well as their parents were genotyped to identify PI 416937 alleles under breeding selection. Nine genomic regions across three chromosomes and 17 genomic regions across seven chromosomes were identified where PI 416937 alleles were under positive or negative selection. Minimal significant associations between PI 416937 alleles and yield were observed in replicated yield trials of five RIL populations, highlighting the difficulty of consistently detecting yield associations.

Indexed as

BreedingAllelesChromosome MappingChromosomes, PlantGenetic VariationGenome, PlantGenomicsGenotypeGlycine maxHumansQuantitative Trait LociSeedsUnited States

Identifiers

PMID32649700
PMCPMC7351202

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.