Evidence map›Paper›PMID 33860891›Full record

ArticleEnvironmental science and pollution research international2021

Arbuscular mycorrhizal fungi improve growth, essential oil, secondary metabolism, and yield of tobacco (Nicotiana tabacum L.) under drought stress conditions.

Naheeda Begum, Kashif Akhtar, Muhammad Abass Ahanger, Mudassar Iqbal, Pingping Wang, Nabil S Mustafa, Lixin Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
15.5field-weighted citation impact, top 1% of its field
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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Naheeda BegumCollege of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Kashif AkhtarInstitute of Nuclear Agricultural Sciences, Key Laboratory of Nuclear Agricultural Sciences of Ministry of Agriculture and Zhejiang Province, Zhejiang University, Hangzhou, 310058, China.
Muhammad Abass AhangerCollege of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Mudassar IqbalDepartment of Agricultural Chemistry, University of Agriculture, Peshawar, Peshawar, Pakistan.
Pingping WangShaanxi Tobacco Scientific Institution, Xi'an, 71000, China.
Nabil S MustafaPomology Department, National Research Centre, Cairo, Egypt.
Lixin ZhangCollege of Life Sciences, Northwest A&F University, Yangling, 712100, Shaanxi, China. zhanglixin@nwafu.edu.cn.
Northwest A&F University · CNNational Research Centre · EGThe University of Agriculture, Peshawar · PKZhejiang University · CN

Funding

Sci-Tec Project of Shaanxi Branch of China National Tobacco Corporation No. KJ-2020-02
6 · The paper itself

Abstract

Drought is a major environmental threat limiting worldwide crop production. Drought stress affects the tobacco quality and yield; therefore, the current research studies were undertaken to investigate the effectiveness of arbuscular mycorrhizal fungi (AMF) under drought stress on morphological and biochemical attributes of tobacco (Nicotiana tabacum L. variety Yunyan 87). AMF-inoculated and AMF-non-inoculated plants were maintained in a greenhouse and irrigated with a half-strength Hoagland solution (100 mL pot

Indexed as

MycorrhizaeOils, VolatileDroughtsNicotianaSecondary MetabolismOils, VolatileAMFAntioxidantsDrought stressGlomalin-related soil proteinsTobacco (Nicotiana tabacum L.)

Identifiers

PMID33860891
OpenAlexW3153894079

What OpenQuestion holds

Textmetadata
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.