Evidence map›Paper›PMID 42315676›Full record

ArticleScientific reports2026

The role of organic compounds in modifying functional relationships and morphophysiological traits of wheat under water stress: a correlation network analysis.

Seyed Karim Irani Takleh, Morteza Barmaki, Ali Omrani, Seyed Habib Shojaei

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Seyed Karim Irani TaklehDepartment of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran. seyedkarimiranitakleh@gmail.com.
Morteza BarmakiDepartment of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran.
Ali OmraniCrop and Horticultural Science Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization (AREEO), Moghan, Iran.
Seyed Habib ShojaeiCrop and Horticultural Science Research Department, Markazi Agricultural and Natural Resources Research and Education Center, Agricultural Research Education and Extension Organization (AREEO), Arak, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wheat (Triticum aestivum L.), playing a significant role in providing food security and agricultural economy, is one of the most important cereals in the world. The present experiment aimed to determine the optimal levels of organic compounds (fulvic acid, humic acid, and amino acids) to promote sustainable wheat (cv. Taktaz) cultivation in dry and semi-dry regions while reducing dependency on irrigation water. The experiment was conducted as a split-factorial based on a randomized complete block design (RCBD) with three replications during two cropping years, 2023-2025. Results indicated that three-way interactions were statistically significant at the 0.01 level for all traits except number of fertile spikes and number of grains per spike. According to the polygon view of the traits, applying high amounts of fulvic acid as well as average amounts of the amino acid can have positive effects on controlling stress. In addition, increasing the concentration of humic acid can compensate for low concentrations of compounds like fulvic acid and amino acids. According to the treatment stability diagram, treatments 3 (humic acid 12 L h

Indexed as

Organic ChemicalsStress, PhysiologicalTriticumAmino AcidsBenzopyransDrought ResistanceDroughtsHumic SubstancesWaterAmino AcidsBenzopyransfulvic acidHumic SubstancesOrganic ChemicalsWaterAmino acidDrought stressFulvic acidHumic acidWheat

Identifiers

PMID42315676
PMCPMC13550568

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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.