Evidence map›Paper›PMID 36365280›Full record

ArticlePlants (Basel, Switzerland)2022

Selection of Soybean Genotypes under Drought and Saline Stress Conditions Using Manhattan Distance and TOPSIS.

Bruno Rodrigues de Oliveira, Alan Mario Zuffo, Jorge González Aguilera, Fábio Steiner, Sheda Méndez Ancca, Luis Angel Paucar Flores, Hebert Hernán Soto Gonzales

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Bruno Rodrigues de OliveiraPantanal Editora, Nova Xavantina 78690-000, MT, Brazil.
Alan Mario ZuffoDepartamento de Agronomia, Universidade Estadual do Maranhão (UEMA), Campus de Balsas, Praça Gonçalves Dias, Balsas 65800-000, MA, Brazil.ORCID 0000-0001-9704-5325
Jorge González AguileraPantanal Editora, Nova Xavantina 78690-000, MT, Brazil.ORCID 0000-0002-7308-0967
Fábio SteinerDepartamento de Agronomia, Universidade Estadual de Mato Grosso do Sul (UEMS), Cassilândia 79540-000, MS, Brazil.ORCID 0000-0001-9091-1737
Sheda Méndez AnccaEscuela Profesional de Ingeniería Pesquera, Universidad Nacional de Moquegua (UNAM), Ilo 18611, Peru.ORCID 0000-0002-3797-1316
Luis Angel Paucar FloresFacultad de Ingeniería de Industrias Alimentarias y Biotecnología, Universidad Nacional de Frontera (UNF), Sullana 20103, Peru.
Hebert Hernán Soto GonzalesLaboratorio de Biología Molecular y Biotecnología, Escuela Profesional de Ingeniería Ambiental, Universidad Nacional de Moquegua (UNAM), Ilo 18611, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for soybean genotypes more adapted to abiotic stress conditions is essential to boost the development and yield of the crop in Brazil and worldwide. In this research, we propose a new approach using the concept of distance (or similarity) in a vector space that can quantify changes in the morphological traits of soybean seedlings exposed to stressful environments. Thus, this study was conducted to select soybean genotypes exposed to stressful environments (saline or drought) using similarity based on Manhattan distance and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is a multi-criteria decision method for selecting the best alternative using the concept of distance. The use of TOPSIS is essential because the genotypes are not absolutely similar in both treatments. That is, just the distance measure is not enough to select the best genotype simultaneously in the two stress environments. Drought and saline stresses were induced by exposing seeds of 70 soybean genotypes to -0.20 MPa iso-osmotic solutions with polyethylene glycol-PEG 6000 (119.6 g L

Indexed as

abiotic stressdistance measuremulti-environmentosmotic potentialvector space model

Identifiers

PMID36365280
PMCPMC9655377

What OpenQuestion holds

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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.