Evidence map›Paper›PMID 40419613›Full record

ArticleScientific reports2025

Physiological and biochemical pathway: understanding their influence on maize grain yield through genotype-trait interactions.

Pooria Mazloom, Seyed Habib Shojaie, Seyed Mohammad Nasir Mousavi

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

3 authors.

Pooria MazloomDepartment of Agronomy, Chalous Branch, Islamic Azad University, Chalous, Iran.
Seyed Habib ShojaieDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture and Food Science and Technology, Science and Research Branch, Islamic Azad University, Tehran, 1477893855, Iran.
Seyed Mohammad Nasir MousaviDepartment of Animal Science and Aquaculture, Dalhousie University, Truro, NS, Canada. nasirmousavi@dal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An experiment using a randomized complete block design (RCBD) with three replications was conducted on 10 corn genotypes to evaluate the effect of genotype × trait interaction on grain yield. Analysis of variance revealed that all genotypes differed significantly (p < 0.01) across all traits. Duncan's multiple range test identified KSC704 and KSC706 as favorable genotypes, while SC540 and KSC260 were considered unfavorable. Correlation analysis showed a positive association between grain yield and chlorophyll a, chlorophyll b, phosphorus, carotenoids, sodium, catalase, and potassium. Principal component analysis indicated that the first five components accounted for over 79% of the total data variance. Based on the first two principal components, the genotypes were grouped into four distinct clusters, and the traits into three. A graphical assessment of genotype performance was also conducted. According to the polygon view, genotypes KSC705, KSC400, KSC706, DC370, SC540, and KSC260 were identified as favorable. Among them, KSC705 and KSC400 were selected as the most desirable genotypes based on trait-based and ideal-genotype ranking diagrams. The biplot analysis further confirmed the grouping of genotypes into four distinct clusters.

Indexed as

Edible GrainZea maysChlorophyllGenotypePrincipal Component AnalysisChlorophyllCorrelationGenotype × trait (GT)Graphical analysisMaizePolygon view

Identifiers

PMID40419613
PMCPMC12106673

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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.