Evidence map›Paper›PMID 41602538›Full record

ArticleFrontiers in plant science2025

Comprehensive evaluation of maize germplasm for alkali tolerance during germination.

Zhuyun Pan, Zhiqiang Ge, Fengming Gao, Man Ao, Yixin Guan

Abstract read
In one paragraph

Article in Frontiers in plant science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zhuyun PanNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Zhiqiang GeNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Fengming GaoNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Man AoNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.
Yixin GuanNortheast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alkaline stress poses a major challenge to crop productivity, often causing more severe physiological damage than saline stress alone. Maize is particularly sensitive to alkaline conditions, which significantly inhibit germination and early growth. The establishment of accurate evaluation systems for alkali tolerance is therefore crucial for the development of resilient cultivars. Methods: A total of 42 maize germplasm accessions were evaluated under simulated alkaline stress (100 mM) during germination. A comprehensive analytical framework integrating principal component analysis, membership function analysis, stepwise regression, cluster analysis, and discriminant analysis was used to assess alkalinity tolerance. The Lindeman-Merenda-Gold method was further employed to quantify the relative contribution of each morphological trait to the comprehensive alkali tolerance score. Results: Alkaline stress significantly inhibited early seedling growth, and several germination-related traits showed strong associations with alkali tolerance. Based on the comprehensive Discussion: This integrated evaluation system effectively distinguishes maize germplasm by alkali tolerance level and identifies key morphological determinants. The findings provide a scientific basis for germplasm screening and breeding of alkali-tolerant maize materials, contributing to sustainable agricultural production in saline-alkaline environments.

Indexed as

alkali tolerancegermplasm evaluationLMG analysismaizeseed germination

Identifiers

PMID41602538
PMCPMC12832809

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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.