Evidence map›Paper›PMID 33381549›Full record

ArticleBioMed research international2020

Study on the Diversity of Fungal and Bacterial Communities in Continuous Cropping Fields of Chinese Chives (

Yizhu Gu, Yuxin Wang, Pingzhi Wang, Chaonan Wang, Jinhai Ma, Xiaofei Yang, Donghao Ma, Meihuan Li

Abstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  7. Effects ofBiology · 2022
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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

8 authors.

Yizhu GuCollege of Water Resources & Civil Engineering, China Agricultural University, Haidian, Beijing, China.
Yuxin WangCollege of Water Resources & Civil Engineering, China Agricultural University, Haidian, Beijing, China.ORCID https://orcid.org/0000-0003-0291-495X
Pingzhi WangCollege of Water Resources & Civil Engineering, China Agricultural University, Haidian, Beijing, China.
Chaonan WangCollege of Water Resources & Civil Engineering, China Agricultural University, Haidian, Beijing, China.
Jinhai MaHenan Jiuxing Institute of Biotechnology, Pingdingshan, Henan, China.
Xiaofei YangHenan Jiuxing Institute of Biotechnology, Pingdingshan, Henan, China.
Donghao MaHenan Jiuxing Institute of Biotechnology, Pingdingshan, Henan, China.
Meihuan LiHenan Jiuxing Institute of Biotechnology, Pingdingshan, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, high-throughput sequencing technology was used to analyse the diversity and composition of fungal and bacterial communities in continuous cropping soil of Chinese chives. The soil nutrient was also measured to explore the rationality of current fertilization management. These results can provide a basis for the prevention and control of the continuous cropping obstacles of Chinese chives and further scientific management. Soil samples from fields continuously cropped with Chinese chives for one year, three years, and five years were collected and analysed. The results showed that the nutrient content of TP, AP, AK and TK increased significantly with increasing continuous cropping years. Short-term continuous cropping soil nutrients have not deteriorated. Alpha-diversity analysis showed that significant differences were not found in the diversity of the fungal and bacterial community among different years.

Indexed as

BacteriaFungiSoil MicrobiologyChiveCrops, AgriculturalDNA, BacterialDNA, FungalHigh-Throughput Nucleotide SequencingMicrobiotaSequence Analysis, DNADNA, BacterialDNA, Fungal

Identifiers

PMID33381549
PMCPMC7762660

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.