Evidence map›Paper›PMID 33747704›Full record

Article3 Biotech2021

Effect of land use on soil properties, microbial abundance and diversity of four different crop lands in central Myanmar.

Tin Mar Lynn, Mostafa Zhran, Liu Fang Wang, Tida Ge, San San Yu, Ei Phyu Kyaw, Zaw Ko Latt, Tin Mar Htwe

Abstract read
In one paragraph

Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Tin Mar LynnKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125 China.ORCID 0000-0001-6647-2383
Mostafa ZhranKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125 China.
Liu Fang WangKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125 China.
Tida GeKey Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125 China.
San San YuMicrobiology Division, Biotechnology Research Department, Ministry of Education, Kyaukse, Mandalay Region 100301 Myanmar.
Ei Phyu KyawMicrobiology Division, Biotechnology Research Department, Ministry of Education, Kyaukse, Mandalay Region 100301 Myanmar.
Zaw Ko LattMicrobiology Division, Biotechnology Research Department, Ministry of Education, Kyaukse, Mandalay Region 100301 Myanmar.
Tin Mar HtweMinistry of Education, Kyaing Tong Education College, Kyaing Tong, Shan State Myanmar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changing land use systems impact on local edaphic factors and microbial abundance and diversity, however, the information on it in central Myanmar's soils is still lacking. Therefore, soils with four different land uses were analyzed; WAP (soil from perennial tree orchard), PNON (soil from crop rotation of peanut and onion), SESA (soil from mono-crop of sesame) and CHON (soil from mono-crop of onion for 3 years consecutively). Soil organic carbon (SOC), total nitrogen (TN), dissolved organic carbon (DOC), ammonium nitrogen (NH SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02705-y.

Indexed as

Crop rotationLand useMicrobial abundanceMicrobial communitySoil fertility

Identifiers

PMID33747704
PMCPMC7930169

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.