Evidence map›Paper›PMID 40330507›Full record

ReviewDiscover agriculture2025

Extracts of tomatoes and potatoes as biopesticides: a review.

Joshua Ibukun Adebomi, Jianfeng Guo, Catherine Hui Niu

Abstract readReview
In one paragraph

Review in Discover agriculture, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Joshua Ibukun AdebomiDepartment of Chemical and Biological Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9 Canada.
Jianfeng GuoDepartment of Chemical and Biological Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9 Canada.
Catherine Hui NiuDepartment of Chemical and Biological Engineering, University of Saskatchewan, 57 Campus Drive, Saskatoon, SK S7N 5A9 Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pest control is crucial to protect animals and plants in the agriculture industry. Biopesticides, because of being environmentally friendly and renewable, have attracted more attention in recent years. Nonetheless, due to costs, issues with controlling pests across various agricultural methods, and supplementary obstacles, biopesticides constitute a minor portion of the worldwide market for crop protection. Agricultural products like tomatoes and potatoes stand as examples of Solanaceae, a significant plant family with numerous economically vital species. From 2022 to 2027, the tomato market is anticipated to have a Compound Annual Growth Rate (CAGR) of 5.6%. Likewise, the worldwide market size for potato starch is predicted to attain a value of $4.9 billion with a market growth of 3.5% CAGR by 2027. After harvest, tomato and potato by-products such as leaves, peels, stems, and so on are generated as by-products, but they have not been effectively utilized. Recent research studies show that extract of the byproducts contains components such as glycoalkaloids, flavonoids, additional phenolics, ketones, and so on, which can be used as biopesticides. For proper pest control and utilization of the by-products in agriculture and related industries, this paper provides a review of recent progress on the research of the active components in the extracts of agricultural by-products of tomato and potato, their roles for pest control, extraction methods, challenges, its future development, and more.

Indexed as

BiopesticidesNatural plantsPest controlPotatoSolanaceaeTomato

Identifiers

PMID40330507
PMCPMC12053842

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.