Evidence map›Paper›PMID 40468212›Full record

ArticleBMC plant biology2025

Modeling wheat productivity under elevated CO

Renato Lustosa Sobrinho, Bruno Rodrigues de Oliveira, Alan Mario Zuffo, Marcelo Carvalho Minhoto Teixeira Filho, Aldir Carpes Marques Filho, Tiago Zoz, Mohammad K Okla, Ibrahim A Alaraidh, Yasmeen A Alwasel, Yousef Alhaj Hamoud and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC plant biology, 2025. 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
–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

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

15 authors.

Renato Lustosa SobrinhoInformation Technology - Technical Department, State University of Mato Grosso do Sul (UEMS), Paranaiba, Mato Grosso do Sul, Brazil. lustosa.renato@gmail.com.
Bruno Rodrigues de OliveiraEditora Pantanal, Nova Xavantina, MT, Brazil. bruno@editorapantanal.com.br.
Alan Mario ZuffoDepartment of Agronomy, State University of Maranhão, Balsas, MA, Brazil.
Marcelo Carvalho Minhoto Teixeira FilhoAgricultural Engineering Department, Federal University of Lavras, Lavras, Brazil.
Aldir Carpes Marques FilhoAgricultural Engineering Department, Federal University of Lavras, Lavras, Brazil.
Tiago ZozDepartment of Agronomy, State University of Mato Grosso do Sul (UEMS), Mundo Novo, Mato Grosso do Sul, Brazil.
Mohammad K OklaBotany and Microbiology Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Ibrahim A AlaraidhBotany and Microbiology Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Yasmeen A AlwaselBotany and Microbiology Department, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia.
Yousef Alhaj HamoudCollege of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China.
Ali El-KeblawyDepartment of Applied Biology, College of Sciences, University of Sharjah, Sharjah, 27272, United Arab Emirates.
Saad SuliemanDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine, Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates.
Amira AskriDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine, Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates.
Mohammed AlyafeiDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine, Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates.
Mohamed S SheteiwyDepartment of Integrative Agriculture, College of Agriculture and Veterinary Medicine, Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates. msalah@uaeu.ac.ae.

Funding

King Saud University, Riyadh, Saudi Arabia RSP2024R176
6 · The paper itself

Abstract

backgroundUnderstanding the complex interactions between plants, Arbuscular Mycorrhizal Fungi (AMF), and elevated atmospheric CO

resultsStatistical analyses revealed that eCO

conclusionThis study underscores the importance of integrating fuzzy logic-based approaches into agricultural management strategies to optimize crop yields while minimizing environmental impacts. The findings encourage further research into refining experimental designs and expanding datasets to enhance our understanding of plant responses to changing environmental conditions.

Indexed as

Carbon DioxideMycorrhizaeTriticumClimate ChangeFuzzy LogicModels, BiologicalCarbon DioxideArbuscular mycorrhizal fungiArtificial intelligenceElevated atmospheric carbon dioxideTriticum aestivum L.

Identifiers

PMID40468212
PMCPMC12135296

What Socratic 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 Socratic graph.