Evidence map›Paper›PMID 35574141›Full record

ArticleFrontiers in plant science2022

Candidate Genes Modulating Reproductive Timing in Elite US Soybean Lines Identified in Soybean Alleles of

Nicholas Dietz, Yen On Chan, Andrew Scaboo, George Graef, David Hyten, Mary Happ, Brian Diers, Aaron Lorenz, Dechun Wang, Trupti Joshi and 1 more

Open access · goldAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

11 authors at 7 institutions in 1 country.

Nicholas DietzDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
Yen On ChanChristopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Andrew ScabooDivision of Plant Science and Technology, University of Missouri, Columbia, MO, United States.
George GraefDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, United States.
David HytenDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, United States.
Mary HappDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, United States.
Brian DiersDepartment of Crop Sciences, University of Illinois, Urbana, IL, United States.
Aaron LorenzDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, United States.
Dechun WangDepartment of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, United States.
Trupti JoshiChristopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Kristin BilyeuUSDA/ARS Plant Genetics Research Unit, Columbia, MO, United States.
University of Missouri · USUniversity of Nebraska–Lincoln · USAgricultural Research Service · USMichigan State University · USUniversity of Illinois Urbana-Champaign · USUniversity of Minnesota · USUniversity of Missouri Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptation of soybean cultivars to the photoperiod in which they are grown is critical for optimizing plant yield. However, despite its importance, only the major loci conferring variation in flowering time and maturity of US soybean have been isolated. By contrast, over 200 genes contributing to floral induction in the model organism

Indexed as

developmentflowering timegenomicsorthologsreproductive phasesoybeanvegetative phase

Identifiers

PMID35574141
PMCPMC9100572
OpenAlexW4225164009

What Socratic 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 Socratic graph.