Next Article in Journal
Screening New Mungbean Varieties for Terminal Drought Tolerance
Next Article in Special Issue
Performance of Small-Scale Hermetic Storage Systems Under Periodic Access
Previous Article in Journal
Research on UAV Downwash Airflow and Wind-Induced Response Characteristics of Rapeseed Seedling Stage Based on Computational Fluid Dynamics Simulation
Previous Article in Special Issue
Desorption and Sorption Isotherms of Different Varieties of Hemp Seeds with Different Percentages of Dockage under Different Temperatures and Different Relative Humidities
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Agriculture
Volume 14
Issue 8
10.3390/agriculture14081327
agriculture-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Correlation Analysis of Sitophilus oryzae (Linnaeus) Real-Time Monitoring and Insect Population Density and Its Distribution Pattern in Wheat Grain Piles

by
Zeyu Zhang
1,
Guoxin Zhou
1,
Cui Miao
2,
Xin Du
3,4,* and
Zhongming Wang
2,*
1
College of Advanced Agricultural Sciences, Zhejiang Agricultural and Forestry University, Donghu Campus, Hangzhou 310007, China
2
Scientific Research Institute of the National Food and Material Reserves Bureau, Beijing 100037, China
3
Harry Butler Institute, Murdoch University, 90 South Street, Murdoch 6150, Australia
4
School of Agricultural Sciences, Murdoch University, 90 South Street, Murdoch 6150, Australia
*
Authors to whom correspondence should be addressed.
Agriculture 2024, 14(8), 1327; https://doi.org/10.3390/agriculture14081327
Submission received: 22 May 2024 / Revised: 16 July 2024 / Accepted: 18 July 2024 / Published: 9 August 2024
(This article belongs to the Special Issue Grain Harvesting, Processing Technology, and Storage Management)
Browse Figures
Versions Notes

Abstract

The traditional manual sampling method for detecting stored grain insect pests is labor-intensive and time-consuming, often yielding non-representative samples. However, to achieve more accurate monitoring, it is necessary to understand the distribution patterns of different insect pests within grain silo and their correlation with monitoring and sampling data. This study aimed to assess the population density and distribution of Sitophilus oryzae (rice weevil) in bulk wheat grain to predict insect dynamics effectively. Utilizing a probe trap in a wheat silo, adult insects were tracked across different population densities. The traps recorded captured pests, alongside temperature and humidity data. The correlation analysis revealed that rice weevils were active throughout the silo but less prevalent at the bottom, with the highest distribution near the upper surface. Temperature and humidity significantly influenced their activity, particularly within the 22 °C to 32 °C range. Higher population densities correlated with increased relative humidity, impacting weevil activity. Trapping data aligned with overall population density changes in the silo. This study will provide an accurate assessment of the population density of adult rice weevils in grain silos based on temperature changes in the upper part of the grain silo.
Keywords: new pest-trapping device; rice weevil; monitoring; distribution pattern; influencing factors new pest-trapping device; rice weevil; monitoring; distribution pattern; influencing factors

Share and Cite

MDPI and ACS Style

Zhang, Z.; Zhou, G.; Miao, C.; Du, X.; Wang, Z. Correlation Analysis of Sitophilus oryzae (Linnaeus) Real-Time Monitoring and Insect Population Density and Its Distribution Pattern in Wheat Grain Piles. Agriculture 2024, 14, 1327. https://doi.org/10.3390/agriculture14081327

AMA Style

Zhang Z, Zhou G, Miao C, Du X, Wang Z. Correlation Analysis of Sitophilus oryzae (Linnaeus) Real-Time Monitoring and Insect Population Density and Its Distribution Pattern in Wheat Grain Piles. Agriculture. 2024; 14(8):1327. https://doi.org/10.3390/agriculture14081327

Chicago/Turabian Style

Zhang, Zeyu, Guoxin Zhou, Cui Miao, Xin Du, and Zhongming Wang. 2024. "Correlation Analysis of Sitophilus oryzae (Linnaeus) Real-Time Monitoring and Insect Population Density and Its Distribution Pattern in Wheat Grain Piles" Agriculture 14, no. 8: 1327. https://doi.org/10.3390/agriculture14081327

APA Style

Zhang, Z., Zhou, G., Miao, C., Du, X., & Wang, Z. (2024). Correlation Analysis of Sitophilus oryzae (Linnaeus) Real-Time Monitoring and Insect Population Density and Its Distribution Pattern in Wheat Grain Piles. Agriculture, 14(8), 1327. https://doi.org/10.3390/agriculture14081327

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop