Article
Agronomy
Ethan M. Doherty, Qian Sun, Blake E. Wilson
Summary: Previous research has shown that different varieties of rice have varying levels of susceptibility to stored rice pests, but modern varieties have not been evaluated. This study tested 13 commercial rice varieties in the USA for susceptibility to the rice weevil. The rice variety significantly impacted the damage caused by the adult and larval stages of the weevil, as well as the development time and progeny mass. Mixes of resistant and susceptible varieties also showed associational susceptibility. These findings highlight the importance of considering varietal susceptibility and blend susceptibility for effective stored rice pest management.
Article
Entomology
Marina Gourgouta, William R. Morrison III, David W. Hagstrum, Christos G. Athanassiou
Summary: This review provides an up-to-date summary of the biology, ecology, distribution, and control of the saw-toothed grain beetle, Oryzaephilus surinamensis. The review highlights the suitable food hosts, global distribution, reproductive characteristics, aggregation pheromone, insecticide efficacy, and the potential for non-chemical control strategies. Furthermore, the importance of population growth models in pest management decisions is emphasized.
JOURNAL OF STORED PRODUCTS RESEARCH
(2023)
Article
Entomology
Hiroki Obata, Mai Miyaura, Guoping Sun
Summary: The earliest archaeological record of maize or rice weevil in China was discovered in Zhejiang Province in 2018, potentially dating back to the earliest pest to harm rice grains in East Asia. The study evaluated the impression of the insect pest on stored products and discussed diagnostic key points for identification as maize or rice weevil, providing detailed data for comparison.
JOURNAL OF STORED PRODUCTS RESEARCH
(2021)
Article
Entomology
Chetan M. Badgujar, Paul R. Armstrong, Alison R. Gerken, Lester O. Pordesimo, James F. Campbell
Summary: This study proposed an integrated insect monitoring system that utilizes a simple RGB camera and deep-learning models to automatically detect and identify stored product insect species. The system achieved high detection accuracy and fast inference time using various YOLO models trained on a labeled insect dataset. The proposed system is relatively fast, accurate, and inexpensive, and can serve as a decision-making tool for stored product facilities managers.
JOURNAL OF STORED PRODUCTS RESEARCH
(2023)
Article
Entomology
Waseem Abbas, Philip C. Withers, Theodore A. Evans
Summary: Insects use different gas exchange patterns for respiration, including continuous, cyclic, and discontinuous exchange. There is a trade-off between lower gas exchange rate and limited water loss in discontinuous exchange. This study examined gas exchange patterns and metabolic rates in the red flour beetle over a 48-hour period, finding that the beetles initially used continuous exchange, then switched to cyclic exchange with decreased metabolic rate, and finally shifted to discontinuous exchange with further decreased metabolic rate.
BULLETIN OF ENTOMOLOGICAL RESEARCH
(2023)
Article
Entomology
Barbara Bittau, Maria Luisa Dindo, Giovanni Burgio, Giuseppino Sabbatini-Peverieri, Kim Alan Hoelmer, Pio Federico Roversi, Antonio Masetti
Summary: Halyomorpha halys, a pest from Asia, has been causing severe damage to agriculture in Italy, while Trissolcus japonicus is seen as a promising biological control method. This study investigated parameters influencing the rearing of T. japonicus on cold-stored H. halys eggs, finding that female parasitoids produced the highest number of progeny when exposed to egg masses for 72 hours.
Article
Entomology
Waqas Wakil, Nickolas G. Kavallieratos, Nikoleta Eleftheriadou, Muhammad Asrar, Taha Yaseen, Muhammad Tahir, Khawaja G. Rasool, Mureed Husain, Abdulrahman S. Aldawood
Summary: This study investigated the effectiveness of combining spinosad and alpha-cypermethrin against major wheat storage pests. The results showed that combining both treatments led to higher pest mortality compared to individual treatments. The most effective treatment combination was the application of the high dose of spinosad with alpha-cypermethrin.
Article
Entomology
Tomas Vendl, Jawad Ali Shah, Radek Aulicky, Vaclav Stejskal
Summary: This study investigated the insecticide droplet distribution on the surface of excavated kernels by Sitophilus granarius, and evaluated the effects of grain mixtures with different proportions of sound and excavated kernels on the development and efficacy of grain protectant insecticides in sensitive strains of Cryptolestes ferrugineus and Tribolium castaneum. The results showed that the presence of excavated kernels may cause pest survival and affect the efficacy of grain protectants at lower concentrations.
JOURNAL OF STORED PRODUCTS RESEARCH
(2022)
Article
Entomology
Nikos E. Papanikolaou, Nickolas G. Kavallieratos, Vassilios Iliopoulos, Epameinondas Evergetis, Anna Skourti, Erifili P. Nika, Serkos A. Haroutounian
Summary: This study focuses on the protection of stored agricultural products and explores the potential of edible essential oils (EOs) as control agents against certain pests. Six culinary plants were selected, and their EOs were formulated into microemulsions (MEs) and applied as grain coatings. The results showed that EO-based MEs exhibited high toxicity against tested pests, making them effective tools for postharvest protection. This study is significant in developing alternative methods for managing postharvest losses.
Article
Entomology
Laura M. Machuca-Mesa, Leonardo M. Turchen, Raul Narciso C. Guedes
Summary: This study conducted a comprehensive review of the literature on phosphine resistance published from 1975 to 2021. The findings showed that phosphine resistance is prevalent among key pest species of stored products and is increasing in both levels and prevalence. The lesser grain borer, rice weevil, and red flour beetle were the most problematic species in terms of resistance. Reports and monitoring of phosphine resistance are mainly focused on four countries: Australia, Brazil, Greece, and the US.
JOURNAL OF PEST SCIENCE
(2023)
Review
Chemistry, Applied
Lijun Zhu, Qian Ma, Jia Chen, Guohua Zhao
Summary: Pest infestation poses a serious threat to global food security, and timely, rapid, and accurate detection methods are crucial for protecting grains. This article discusses various innovative approaches, including machine vision, molecular techniques, thermal imaging, and X-ray imaging, targeting the pests themselves or diagnosing pest-induced changes.
Review
Agronomy
William R. Morrison, Erin D. Scully, James F. Campbell
Summary: This study explores behaviorally-based management strategies for postharvest pests and identifies challenges such as competition with food cues and diverse insect assemblages in food facilities. To accelerate the development of behaviorally-based tactics, further research on scientific data and methods is needed to support stakeholder acceptance of semiochemicals in food facilities.
PEST MANAGEMENT SCIENCE
(2021)
Review
Entomology
Vimala S. K. Bharathi, Fuji Jian, Digvir S. Jayas
Summary: This article provides a comprehensive review of research on the rusty grain beetle, focusing on its biology, ecology, and behavior. It also summarizes studies on the interspecific interaction of the rusty grain beetle with other organisms and outlines potential future research directions.
Article
Biotechnology & Applied Microbiology
Nairiane dos Santos Bilhalva, Paulo Carteri Coradi, Barbara Biduski, Carlos Augusto Mallmann, Kellen Francine Anschau, Edson Irineu Muller
Summary: Real-time monitoring of intergranular variables can help determine the quality changes in grain stored in vertical silos, and establish quantitative relationships for quality variables. Integrated monitoring of the moisture content and carbon dioxide concentration in the stored corn mass can provide valuable information for decision making to ensure food safety and reduce loss.
FOOD AND BIOPRODUCTS PROCESSING
(2023)
Article
Agriculture, Multidisciplinary
Yingying Zhang, Weibo Zhong, Hui Pan
Summary: This study utilized deep learning to develop a computer vision-based method for identifying six common stored grain pests, achieving excellent results across various metrics.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
