Evidence map›Paper›PMID 38952372›Full record

ArticleHeliyon2024

Genotypes, epidemiological variables and fungicides application associated with wheat leaf rust development and grain yield.

Hafiz Muhammad Aatif, Saqib Saeed, Yasir Ali, Sidra Iqbal, Ch Muhammad Shahid Hanif, Salman Ahmad, Ahmed Raza, Rosa Sanchez Lucas, Haider Ali, Abdulwahed Fahad Alrefaei and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

11 authors.

Hafiz Muhammad AatifDepartment of Plant Pathology, College of Agriculture, University of Layyah, 31200, Layyah, Pakistan.
Saqib SaeedDepartment of Plant Pathology, Bahauddin Zakariya University Multan, 60000, Multan, Pakistan.
Yasir AliDepartment of Plant Pathology, College of Agriculture, University of Layyah, 31200, Layyah, Pakistan.
Sidra IqbalDepartment of Plant Breeding and Genetics, University of Agriculture-Faisalabad, Sub Campus Depalpur, Okara, Pakistan.
Ch Muhammad Shahid HanifDepartment of Entomology, College of Agriculture, University of Layyah, 31200, Layyah, Pakistan.
Salman AhmadDepartment of Plant Pathology, University College of Agriculture, University of Sargodha, 40100, Pakistan.
Ahmed RazaPlant Virology Lab, Crop Diseases Research Institute, National Agricultural Research Center, Islamabad, Pakistan.
Rosa Sanchez LucasSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Haider AliSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom.
Abdulwahed Fahad AlrefaeiDepartment of Zoology, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Taha Majid Mahmood SheikhDepartment of Cell Biology and Genetics, Shantou University Medical College, Shantou, 515041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was carried out at the Plant Pathology Hafizabad Research Station, the University of Layyah, during the crop seasons 2021-2022 and 2022-2023 to evaluate the response of various wheat genotypes against leaf rust severity (%), environmental conditions favourable for disease development and grain yield. Except for minimum temperature and minimum relative humidity, which had a negative association with disease development, there was a significant correlation between leaf rust severity (%) and all environmental conditions such as maximum temperature, maximum relative humidity, rainfall, and wind speed. All epidemiological variables such as maximum temperature, minimum temperature, minimum relative humidity, rainfall and wind speed significantly affect the disease progression. The disease predictive model accounted for 48-69 % variability in leaf rust severity. The model performance was evaluated using the coefficient of determination (R

Indexed as

EpidemiologyFungicidesLeaf rustResistanceWheatYield loss

Identifiers

PMID38952372
PMCPMC11215259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.