Evidence map›Paper›PMID 33077826›Full record

ArticleScientific reports2020

Historical trend on seed amino acid concentration does not follow protein changes in soybeans.

Andre Froes de Borja Reis, Santiago Tamagno, Luiz H Moro Rosso, Osler A Ortez, Seth Naeve, Ignacio A Ciampitti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 41 citations in OpenAlex.

  1. Evaluation and improvement of two European soybean VCU networks.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Article
  2. Article
  3. Article
  4. Exploring Fungicide Sensitivity in Soybean Stem Blight PathogenJournal of fungi (Basel, Switzerland) · 2025
    Article
  5. Review
  6. Article
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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.

Andre Froes de Borja ReisDepartment of Agronomy, Kansas State University, Manhattan, KS, USA. andrefbr@ksu.edu.
Santiago TamagnoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.
Luiz H Moro RossoDepartment of Agronomy, Kansas State University, Manhattan, KS, USA.
Osler A OrtezDepartment of Agronomy and Horticulture, University of Nebraska, Lincoln, NE, USA.
Seth NaeveDepartment of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, MN, USA.
Ignacio A CiampittiDepartment of Agronomy, Kansas State University, Manhattan, KS, USA. ciampitti@ksu.edu.
Kansas State University · USUniversity of Minnesota · USUniversity of Nebraska–Lincoln · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soybean [Glycine max (L.) Merr.] is the most important oilseed crop for animal industry due to its high protein concentration and high relative abundance of essential and non-essential amino acids (AAs). However, the selection for high-yielding genotypes has reduced seed protein concentration over time, and little is known about its impact on AAs. The aim of this research was to determine the genetic shifts of seed composition for 18 AAs in 13 soybean genotypes released between 1980 and 2014. Additionally, we tested the effect of nitrogen (N) fertilization on protein and AAs trends. Soybean genotypes were grown in field conditions during two seasons under a control (0 N) and a N-fertilized treatment receiving 670 kg N ha

Indexed as

Amino AcidsCrops, AgriculturalGenes, PlantGlycine maxNutritive ValueSeedsSoybean ProteinsAmino AcidsSoybean Proteins

Identifiers

PMID33077826
PMCPMC7572510
OpenAlexW3092819359

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.