Evidence map›Paper›PMID 40530266›Full record

ArticleFrontiers in plant science2025

Deciphering maize resistance to late wilt disease caused by

Walaa R Abdelghany, Mohsen M Elsharkawy, Ramy N F Abdelkawy, Reda I Omara, Khaled Abdelaal, Abeer H Abbas, Wael N Hozzein, Tarek Essa, Dalal Hussain ALkhalifah, Ayman H Abou Tabl

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 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. New azoxystrobin clay carrier to control corn late wilt disease.World journal of microbiology & biotechnology · 2026
    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

10 authors.

Walaa R AbdelghanyPlant Pathology Research Institute, Agricultural Research Center, Giza, Egypt.
Mohsen M ElsharkawyAgricultural Botany Department, Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh, Egypt.
Ramy N F AbdelkawyCentral Laboratory for Design and Statistical Analysis Research, Agricultural Research Center, Giza, Egypt.
Reda I OmaraPlant Pathology Research Institute, Agricultural Research Center, Giza, Egypt.
Khaled AbdelaalEPCRS Excellence Center, Plant Pathology and Biotechnology Lab., Faculty of Agriculture, Kafrelsheikh University, Kafrelsheikh, Egypt.
Abeer H AbbasPlant Pathology Research Institute, Agricultural Research Center, Giza, Egypt.
Wael N HozzeinBotany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt.
Tarek EssaPlant Pathology Research Institute, Agricultural Research Center, Giza, Egypt.
Dalal Hussain ALkhalifahDepartment of Biology, College of Science, Princess Nourahbint Abdulrahman University, Riyadh, Saudi Arabia.
Ayman H Abou TablPlant Pathology Department, Faculty of Agriculture, Mansoura University, Mansoura, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: Fifteen maize genotypes were evaluated for their response to LWD across three growing seasons at two experimental locations-Gemmeiza and Sids. Disease incidence, agronomic performance, anatomical features, and antioxidant enzyme activities were assessed. Gene expression analysis of PR1 and PR4 was conducted using RT-qPCR. Genotype × environment interaction (GEI) was analyzed using combined ANOVA and the additive main effects and multiplicative interaction (AMMI) model. Results: Significant differences were observed among genotypes, environments, and their interactions (GEI) for disease incidence and yield-related traits (p < 0.05). AMMI analysis confirmed substantial GEI effects on DI% and hundred kernel weight. Genotypes TWC1100, SC30K9, and SC2031 consistently showed the lowest disease incidence and the highest resistance rating index (RRI > 8.3) across both locations, while the susceptible check Boushy recorded the highest DI% and lowest RRI. TWC1100 and SC30K9 also achieved the highest kernel weights at Gemmeiza (42.8 g and 41.5 g, respectively). Stability analysis using AMMI stability value (ASV) identified TWC1100, SC30K9, TWC324, and SC130 as the most stable genotypes. Biochemical analysis revealed that resistant genotypes exhibited higher peroxidase activity and lower electrolyte leakage. Anatomical examination showed superior root structure in resistant genotypes, particularly SC2031. Molecular analysis confirmed the upregulation of PR1 and PR4 genes post-infection, with TWC1100 showing robust expression, while Boushy exhibited minimal gene activation. Discussion: The integration of agronomic, anatomical, biochemical, and molecular analyses revealed promising maize genotypes with enhanced resistance to late wilt disease (LWD) and stable performance across diverse environments. These findings highlight the potential of these genotypes as valuable candidates for inclusion in breeding programs targeting improved disease resistance and yield stability under varying environmental conditions.

Indexed as

AMMIGEIgene expressionlate wiltmaize genotypesmulti-environmentsstability

Identifiers

PMID40530266
PMCPMC12170576

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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.