Evidence map›Paper›PMID 42316534›Full record

ArticlePest management science2026

Optimising the insect trap rate of solar lights: An application of a linear mixed-effects model to count data.

Hemanta Saikia, Rabijita Buragohain, Dibyojyoti Bhattacharjee

Abstract read
In one paragraph

Article in Pest management science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hemanta SaikiaDepartment of Basic Sciences and Humanities, Assam Agricultural University, Jorhat, India.ORCID https://orcid.org/0000-0002-6367-485X
Rabijita BuragohainDivision of Agricultural Statistics, Sher-e-Kashmir University of Agricultural Sciences and Technology, Kashmir, India.
Dibyojyoti BhattacharjeeDepartment of Statistics, Assam University, Silchar, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSustainable and eco-friendly insect management practices are increasingly important in modern agriculture due to the adverse effects of chemical pesticides on ecosystems and human health. Solar insect light traps using colored light sources provide an environmentally safe alternative for insect control with minimal or no adhesive use. This study analysed the performance of a solar insect light trap developed at the Centre of Excellence for Mango, Dapoli, Maharashtra, India, with the aim of identifying the optimum environmental and operational conditions for maximum insect catch.

resultsThe experiment evaluated insect catches under six different coloured solar light-emitting diode (LED) bulbs positioned at three different heights and operated during three different time periods across varying temperature conditions. Count data regression modelling was initially applied to identify significant explanatory variables, followed by a linear mixed-effects model on the reduced dataset to determine the optimum factor combination. The analysis revealed that the highest insect catch occurred at a temperature of 26 °C using a white solar LED light fixed at a height of 150 cm.

conclusionThe findings demonstrate that insect trapping efficiency is strongly influenced by temperature, light colour, and trap height. The study establishes that a white solar LED trap positioned at 150 cm under 26 °C conditions provide the most effective insect capture. These results contribute to the advancement of sustainable pest management by optimising eco-friendly trapping strategies that can reduce dependence on chemical insecticides in agricultural systems. © 2026 Society of Chemical Industry.

Indexed as

InsectaInsect ControlSunlightAnimalsLinear ModelsTemperatureinsect traplinear mixed effect modelpest managementregression model for count data

Identifiers

PMID42316534
PMCPMC13569301

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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.