Evidence map›Paper›PMID 33491144›Full record

ArticleEnvironmental science and pollution research international2021

The use of pesticides in Polish agriculture after integrated pest management (IPM) implementation.

Arkadiusz Piwowar

Erratum issuedAbstract read
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. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Transcriptome Dynamics Underlying PlanticineInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. What drives low-carbon agriculture? The experience of farms from the Wielkopolska region in Poland.Environmental science and pollution research international · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Arkadiusz PiwowarWroclaw University of Economics and Business, Komandorska Street 118/120, 53-345, Wrocław, Poland. arkadiusz.piwowar@ue.wroc.pl.ORCID http://orcid.org/0000-0001-5676-9431

Funding

Narodowe Centrum Nauki This study was conducted and financed in the framework of the research project "The state and prospects of the development of low-carbon agriculture in Poland and the behaviour of agricultural producers", granted by the National Science Centre in Poland, program SONATA, grant No. 2016/21/D/HS4/00087.
6 · The paper itself

Abstract

The aim of the conducted study was to characterize the attitudes and practices of Polish farmers in the area of performing chemical plant protection treatments. A particular attention was paid to identifying the relationship between the direction of changes in the volume of chemical plant protection product consumption and selected attributes of farms. The main time range of the analyses covered the period of 2013-2017. Statistical data and results of representative surveys carried out on a sample of 1101 farms in Poland were used in the research process. Due to the large number of variants of the analysed variables, a multiple correspondence analysis was used, which made it possible to determine the correlation between the examined features (direction of changes in pesticide use relative to the farm area, economic size of the farm and location of the farm). Statistical analysis showed the existence of strong relationships between the physical (1) and economic (2) size of farms and the direction of changes in pesticide consumption ((1) φ

Indexed as

PesticidesAgricultureFarmersHumansPest ControlPolandPesticidesChemical plant protectionIntegrated pest management (IPM)Multiple correspondence analysis (MPA)

Identifiers

PMID33491144
PMCPMC8159817

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.