Evidence map›Paper›PMID 39720024›Full record

ArticleHeliyon2024

Quantification of pesticide dosage and determinants of excessive pesticide use in smallholder vegetable production systems in Tanzania.

Jones A Kapeleka

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

1 author.

Jones A KapelekaTanzania Plant Health and Pesticides Authority (TPHPA), P.O. Box 3024, Arusha, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of pesticides for diseases and insect pest control has become a key component in smallholder vegetable production. This study therefore quantified the concentration of pesticide active ingredient per unit production land (kg a.i/ha), and drivers of increased pesticide use in smallholder vegetable production systems in Tanzania. Through field surveys and observations, data were collected from 385 farmers from Iringa, Arusha, and Kilimanjaro regions. A binary probit model was used to derive factors fostering increased pesticide use. High dose rates with increased frequency of application were evident. The concentrations of active ingredients (kg a.i/ha) were far above the world averages for fungicides (17.18 kg a.i/ha in tomato and 13.05 kg a.i/ha in onion), insecticides (5.86 kg a.i/ha in tomato and 6.37 kg a.i/ha in onions) and herbicides (3.78 kg a.i/ha in onions). Furthermore, 47.9 % of all pesticides were wrongly used. Most farmers (88.6 %) lacked knowledge of pest control and 88.9 % of farmers were unaware of pesticide safety practices. There was an increasing trend in pesticide use (58.4 %). WHO Class II hazard-classified pesticides (68.9 %) dominated smallholder vegetable production. Extremely hazardous (Class Ia) and highly hazardous (Class Ib) pesticides were also used. The binary probit model showed that the number of crops grown, pesticide mixing, and region contributed positively to the likelihood of increased pesticide use. In contrast, farmers' perception of the effectiveness of pesticides, lack of access to safe use information, poor use of safety gear, and inability to read pesticide labels had a negative impact. Excessive pesticide use jeopardizes the sustainability of smallholder vegetable production. Pesticide control and monitoring at the farm level, restricted use of highly hazardous pesticides, application of greener pesticides, and the use of specialized pesticide spray men in smallholder vegetable production would lessen and protect farmers and the environment from pesticide exposure.

Indexed as

FungicidesInsecticidesInsect pestsPesticides active ingredientPesticides exposure

Identifiers

PMID39720024
PMCPMC11665471

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.