Evidence map›Paper›PMID 33815436›Full record

ArticleFrontiers in plant science2021

Sex-Specific Differences in the Physiological and Biochemical Performance of Arbuscular Mycorrhizal Fungi-Inoculated Mulberry Clones Under Salinity Stress.

Yan-Hong Wang, Nai-Li Zhang, Min-Qiang Wang, Xiao-Bin He, Zhi-Qiang Lv, Jia Wei, Xiu Su, Ai-Ping Wu, Yan Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

9 authors at 4 institutions in 1 country.

Yan-Hong WangState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Nai-Li ZhangCollege of Forestry, Beijing Forestry University, Beijing, China.
Min-Qiang WangState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Xiao-Bin HeState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Zhi-Qiang LvInstitute of Sericulture and Tea, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Jia WeiInstitute of Sericulture and Tea, Zhejiang Academy of Agricultural Sciences, Hangzhou, China.
Xiu SuState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Ai-Ping WuEcology Department, College of Resources and Environment, Hunan Provincial Key Laboratory of Rural Ecosystem Health in Dongting Lake Area, Hunan Agricultural University, Changsha, China.
Yan LiState Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou, China.
Zhejiang A & F University · CNZheJiang Academy of Agricultural Sciences · CNBeijing Forestry University · CNHunan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arbuscular mycorrhizal fungi (AMF) are often considered bioameliorators. AMF can promote plant growth under various stressful conditions; however, differences between male and female clones in mycorrhizal strategies that protect plants from the detrimental effects of salinity are not well studied. In this study, we aimed to examine the interactive effects of salinity and AMF on the growth, photosynthetic traits, nutrient uptake, and biochemical responses of

Indexed as

arbuscular mycorrhizal fungidioecyFunneliformis mosseaeMorus albasalinity stresssex-specific differences

Identifiers

PMID33815436
PMCPMC8012686
OpenAlexW3138800212

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.