Insects in sorghum and comparative studies on the population dynamics of some main species

At the current level of applied entomology, comprehensive research on the species composition and population dynamics of the insect community in crops is of the utmost importance. Comprehensive studies on sorghum agroecosystems in Bulgaria have been scarce and have necessitated, necessitating a need for new and up-to-date developments. The study investigated the species composition and population dynamics of the main insect species in Bulgaria’s sorghum. Insect diversity was represented by 51 insect species belonging to 17 families and 46 genera. Harmful species made up 70.6% of the total population density of insect representatives, while beneficial (predators) – 29.4%. The insect composition included two aphid species, 17 species of cicadas, 11 species of bugs, 17 species of beetles, and four thrips species. Aphids and cicadas were some of the most important insect pests of sorghums in Bulgaria. Temperature changes affected the life characteristics of insects and ultimately determined population growth rates. Various factors like global warming, changing cropping patterns, and adoption of technologies alter insect abundance, distribution, and pest-associated losses. Work, related to the survey and surveillance of sorghum insect pests should be regularly conducted to gain proper knowledge of changing trends of insect pests, associated losses, and timely management.

Authors

Institutions

Publication Details

Journal
Journal of Plant Protection Research
Published
2025-04-02
DOI
https://doi.org/10.24425/jppr.2025.153819
Primary Topic
Bioenergy crop production and management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Insects in sorghum and comparative studies on the population dynamics of some main species

Ivelina Nikolova
Journal of Plant Protection Research
Bioenergy crop production and management
article

Insects in sorghum and comparative studies on the population dynamics of some main species

Ivelina Nikolova
article en

Abstract

At the current level of applied entomology, comprehensive research on the species composition and population dynamics of the insect community in crops is of the utmost importance. Comprehensive studies on sorghum agroecosystems in Bulgaria have been scarce and have necessitated, necessitating a need for new and up-to-date developments. The study investigated the species composition and population dynamics of the main insect species in Bulgaria’s sorghum. Insect diversity was represented by 51 insect species belonging to 17 families and 46 genera. Harmful species made up 70.6% of the total population density of insect representatives, while beneficial (predators) – 29.4%. The insect composition included two aphid species, 17 species of cicadas, 11 species of bugs, 17 species of beetles, and four thrips species. Aphids and cicadas were some of the most important insect pests of sorghums in Bulgaria. Temperature changes affected the life characteristics of insects and ultimately determined population growth rates. Various factors like global warming, changing cropping patterns, and adoption of technologies alter insect abundance, distribution, and pest-associated losses. Work, related to the survey and surveillance of sorghum insect pests should be regularly conducted to gain proper knowledge of changing trends of insect pests, associated losses, and timely management.

Journal of Plant Protection Research
Institute of Forage Crops (BG)
Openalex Percentile: Top 92%
Bioenergy crop production and management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.