Insect Activity Research Articles

Effect of Substrate Types (Saw Dust, Corn Cob) Associated with Insect Activities on the White Oyster Mushroom (Pleurotus ostreatus) Yield in Musang-Bamenda III (North West Region-Cameroon)

Oyster mushroom is an edible mushroom which has been identified as an excellent food source to alleviate malnutrition worldwide. To evaluate the effects of different substrate types (saw dust and corn cob) associated with insect activities on the yield of white oyster mushroom, experiments were carried out in exposed house, from the 26th of May to the 31st of August 2022 in Musang. Oyster mushroom was cultivated on different substrates made of six treatments: saw dust (T1, T11), Corn cobs (T2, T22) and a mixture of both (T3, T33), all supplemented with 1% CaCO3. The treatments were tied in black polythene bags each. The experiment was laid in a random design. The different parameters studied show that the highest degree of colonization and the lowest time from primordial initiation to harvest were obtained in T2; The highest biological yield, economic yield and dry weight were observed in T11. The time from primordial initiation to harvest was observed in T1 and the highest average number of fruiting body/packet in T2, the highest average weight of individual fruiting body in T33, the highest mean height of fruiting bodies in T11 and the highest average diameter of Pileus was observed in T22. Pileus, gill and stipe were the different mushroom parts visited by insects belonging to orders Diptera (58.20%), Coleoptera (3.21 %), Blattodea (0.28 %). Insects reduce the quality and quantity of the fungi. Among many aspects, T11 was found as the best substrate with biological and economic yields

A convolutional neural network with image and numerical data to improve farming of edible crickets as a source of food-A decision support system.

Crickets (Gryllus bimaculatus) produce sounds as a natural means to communicate and convey various behaviors and activities, including mating, feeding, aggression, distress, and more. These vocalizations are intricately linked to prevailing environmental conditions such as temperature and humidity. By accurately monitoring, identifying, and appropriately addressing these behaviors and activities, the farming and production of crickets can be enhanced. This research implemented a decision support system that leverages machine learning (ML) algorithms to decode and classify cricket songs, along with their associated key weather variables (temperature and humidity). Videos capturing cricket behavior and weather variables were recorded. From these videos, sound signals were extracted and classified such as calling, aggression, and courtship. Numerical and image features were extracted from the sound signals and combined with the weather variables. The extracted numerical features, i.e., Mel-Frequency Cepstral Coefficients (MFCC), Linear Frequency Cepstral Coefficients, and chroma, were used to train shallow (support vector machine, k-nearest neighbors, and random forest (RF)) ML algorithms. While image features, i.e., spectrograms, were used to train different state-of-the-art deep ML models, i,e., convolutional neural network architectures (ResNet152V2, VGG16, and EfficientNetB4). In the deep ML category, ResNet152V2 had the best accuracy of 99.42%. The RF algorithm had the best accuracy of 95.63% in the shallow ML category when trained with a combination of MFCC+chroma and after feature selection. In descending order of importance, the top 6 ranked features in the RF algorithm were, namely humidity, temperature, C#, mfcc11, mfcc10, and D. From the selected features, it is notable that temperature and humidity are necessary for growth and metabolic activities in insects. Moreover, the songs produced by certain cricket species naturally align to musical tones such as C# and D as ranked by the algorithm. Using this knowledge, a decision support system was built to guide farmers about the optimal temperature and humidity ranges and interpret the songs (calling, aggression, and courtship) in relation to weather variables. With this information, farmers can put in place suitable measures such as temperature regulation, humidity control, addressing aggressors, and other relevant interventions to minimize or eliminate losses and enhance cricket production.

Functional morphology of antennae and sensilla of the fungivore beetle, Triplax ainonia Lewis (Coleoptera: Erotylidae).

The antennal sensilla play an important role in many behavioral activities of insects. The fungivorous beetle Triplax ainonia Lewis (Erotylidae) is an important pest which prefers to feed on Pleurotus mushrooms. In order to clarify the types, number, and distribution of the antennal sensilla of male and female T. ainonia, scanning electron microscopy was used. The results showed that there were five sensillum types on the antennae of adults male and female, including Böhm's bristles (BB), sensilla chaetica (three subtypes: SC 1, SC 2, and SC 3), sensilla basiconica (three subtypes: SB 1, SB 2, and SB 3), sensilla trichodea (ST), and sensilla styloconica (SS). Among all the sensilla, the number of SB 2 was the most abundant in both sexes. We found that there was no sexually dimorphic in the sensillum types, but there were differences in the number, lengths, and diameters of some sensilla between males and females. Based on the information of the morphology and distribution of the sensilla, the potential functions of the antennal sensilla of T. ainonia adults were discussed. The results of this study provide a basis for further study on the behavioral ecology and electrophysiology of the fungivore beetles of the Erotylidae.

Deciphering the microbial signature of death: advances in post-mortem microbial analysis

Cadaver decomposition is a natural phenomenon intimately affected by numerous organisms such as insects, fungi, animals, and bacteria where they use the decaying body as their nutrition source. These organisms can be utilized in forensic science to estimate the post-mortem interval (PMI). The post-mortem interval refers to the time that has passed since the death of a person until the body was found. Forensic entomology is one of the popular approaches where successive colonization of insects on cadaver is studied to estimate PMI. However, sometime this method does not provide consistent results due to lack of insect activities during cold environment conditions or when crime scene is indoor. Therefore, a new approach is needed to aid forensic scientists to estimate PMI. Recently, researchers have noted that microbial communities have shown a predictable and clockwise successional pattern on decomposing cadavers and suggested this could be utilized to estimate PMI when this approach is etched with other established methods. The purpose of this review is to summarize some of the studies that have been conducted on the utility of microbial communities in estimating PMI and discuss the role of microbial communities in cadaver decomposition.

The Diversity of Forensic Entomofauna Associated With Decaying Chicken Liver in the Tropical Region of Kerala, India.

Forensic entomology To elucidate the time of death based on insect evidence, there are several studies on forensic entomology on life cycles, environmental factors, and feeding habitats of insects. However, there have not been any comprehensive studies on forensic entomology and its usage in forensic inquiry specific to the region, especially Kerala, India. The insect succession on decomposed animal matter plays an important role in estimating minimum postmortem intervals (mPMI). Objective The purpose of the study was tounderstand forensically important insect groups and their role in the decomposition process of dead decayingmatter. The different decomposition stages of a corpse vary in attraction to necrophagous insects and the insect fauna depending on its prevailing conditions of decay. The decomposition is highly dependent on the exposition of animal matter and abiotic and biotic factors acting on it. The main objective of the present investigation was to identify the insect fauna associated with decaying chicken liver. The study also envisages comprising the diversity and abundance of insects between two different treatments of animal matter: in contact with soil and controlled conditions in a clean basin. Method The study was conducted for 45 days (until the total decomposition of the samples in both conditions) during the pre-monsoon months of April to May2022 at Chalikadavu, Muvattupuzha, in the Ernakulam district, Kerala, India. The samples were however kept away from direct sunlight and rain to avoid the direct impact on the orienting fauna. The entomofauna found to be associated with the decaying animal matter was carefully collected from the site and stored in 70% isopropyl alcohol for preservation. The total number of insects was recorded along with the hours of maximum incidence, and samples were stored in plastic vials for further identification. Result In this study, we analyzed the activities of ants, mites, wasps, cockroaches, moths, beetles, and flies during the decomposition of decaying chicken liver. Among these insects, flies and beetles are two important arthropod communities associated with animal matter decomposition. We collected these foraging organisms for morpho-taxonomic identification. The decomposition stages among the two treatments could help to understand the variable factors in the decomposition of decaying corpse with special reference to the insect fauna acting on it. Conclusion We got 100 specimens comprising 28 species in 17 families from Blattidae, Coleoptera, Diptera, Hymenoptera, and Lepidoptera. Besides this, we identified two parasitic wasps with their host (dipteran pupa), which is helpful in postmortem interval (PMI) estimation. Our analysis showed an association between decay and the activity of carrion insects. The decomposition stages among the two treatments could help to understand the variable factors in the decomposition of a decaying corpse with special reference to the insect fauna acting upon it.

Pheromone biosynthesis activating neuropeptide family in insects: a review.

Neuropeptides are involved in almost all physiological activities of insects. Their classification is based on physiological function and the primary amino acid sequence. The pyrokinin (PK)/pheromone biosynthesis activating neuropeptides (PBAN) are one of the largest neuropeptide families in insects, with a conserved C-terminal domain of FXPRLamide. The peptide family is divided into two groups, PK1/diapause hormone (DH) with a WFGPRLa C-terminal ending and PK2/PBAN with FXPRLamide C-terminal ending. Since the development of cutting-edge technology, an increasing number of peptides have been sequenced primarily through genomic, transcriptomics, and proteomics, and their functions discovered using gene editing tools. In this review, we discussed newly discovered functions, and analyzed the distribution of genes encoding these peptides throughout different insect orders. In addition, the location of the peptides that were confirmed by PCR or immunocytochemistry is also described. A phylogenetic tree was constructed according to the sequences of the receptors of most insect orders. This review offers an understanding of the significance of this conserved peptide family in insects.

Evaluation of insemination, blood feeding, and Plasmodium vivax infection effects on locomotor activity patterns of the malaria vector Anopheles darlingi (Diptera: Culicidae)

Circadian behavioral patterns in mosquitoes can be observed through their locomotor activity, which includes fundamental behaviors such as foraging, mating, and oviposition. These habits, which are fundamental to the life cycle of Anopheles mosquitoes, are closely related to pathogen transmission to humans. While rhythmic cycles of locomotor activity have been described in Anopheles species, no studies have been conducted on Anopheles darlingi species, the main malaria vector in the Amazon region. The aim of this study was to investigate how insemination status, blood meal, and Plasmodium vivax infection affect the locomotor activity of An. darlingi. The experiments were performed with 3- to 10-day-old An. darlingi females, which had been fed with 15% honey solution. These mosquitoes were obtained from the Malaria Vector Production and Infection Platform (PIVEM)/FIOCRUZ–RO. The experimental groups were divided into four categories: virgin vs. inseminated, unfed virgin vs. blood-fed virgin, unfed inseminated vs. blood-fed inseminated, and infected blood vs. uninfected blood. Locomotor activity was monitored using the Flybox equipment, capturing images that were subsequently converted into video to measure the insect activity, using PySoLo software. The periodicity and rhythmicity of mosquito locomotor activity were analyzed using MatLab® software. The locomotor activity of An. darlingi females showed a nocturnal and bimodal pattern under LD conditions. When comparing the insemination states and blood meal, there was a reduction in the locomotor activity in inseminated and blood-fed females. However, the P. vivax+ infection did not increase locomotor activity of An. darlingi species.

Bioacoustic IoT Sensors as Next-Generation Tools for Monitoring: Counting Flying Insects through Buzz.

The global loss of biodiversity is an urgent concern requiring the implementation of effective monitoring. Flying insects, such as pollinators, are vital for ecosystems, and establishing their population dynamics has become essential in conservation biology. Traditional monitoring methods are labour-intensive and show time constraints. In this work, we explore the use of bioacoustic sensors for monitoring flying insects. Data collected at four Italian farms using traditional monitoring methods, such as hand netting and pan traps, and bioacoustic sensors were compared. The results showed a positive correlation between the average number of buzzes per hour and insect abundance measured by traditional methods, primarily by pan traps. Intraday and long-term analysis performed on buzzes revealed temperature-related patterns of insect activity. Passive acoustic monitoring proved to be effective in estimating flying insect abundance, while further development of the algorithm is required to correctly identify insect taxa. Overall, innovative technologies, such as bioacoustic sensors, do not replace the expertise and data quality provided by professionals, but they offer unprecedented opportunities to ease insect monitoring to support conservation biodiversity efforts.

CLINICAL STUDIES OF THE REPELLENT EFFICACY OF BARS® VETERINARY DRUGS 
 IN THE FARMS OF THE ARARAT MARZ OF ARMENIA

Under conditions of maximum seasonal and daily activity of blood-sucking diptera insects of the Ararat region of the Republic of Armenia, the repellent effectiveness of Bars® veterinary drugs was studied. The experiments involved 26 clinically healthy dogs aged 1 to 10 years, of both sexes. As a result of clinical studies of the repellent effectiveness of veterinary drugs Bars ® insectoacaricidal spray and Bars ® insecticidal drops applied to dogs individually, once, during the prevention of bites of diptera flying insects, according to the presented doses, rules and application techniques, the drugs showed a high effectiveness of the repellent effect in the conditions of farms of the Ararat marz for 5 days. During the physical examination, no side effects were detected from the use of Bars® insecticide spray and Bars® insecticide drops.

Comparative Effect of Dichlorvos and Ginger (Zingiber officinale L.) On the Indian Meal Moth (Plodia interpunctella hübner) Feeding on Zea mays Grains

Abstract Synthetic and natural insecticides have successfully controlled the Indian meal moth (Plodia interpunctella Hübner). However, little is known about how Indian meal moth reacts in a stressed environment caused by synthetic and botanical insecticides. Therefore, this study compared the effects of dichlorvos (DDVP) and ginger (Zingiber officinale L.) rhizome extract oil on larval and adult mortality, hatchability and adult emergence, and on neurotransmitters and digestive enzymes of Indian meal moth under laboratory conditions of 75 ± 5% relative humidity and 25 ± 5 °C. The insects were exposed to different concentrations of 0.1, 0.2, 0.3, 0.4, and 0.5% of dichlorvos and ginger extract oil for 96 h. Ginger rhizome extract oil caused 100% mortality in newly emerged adult Indian meal moths within 96 h at all concentrations. DDVP and ginger extract oil were ineffective against the third instar larval stage of the Indian meal moth, at varying concentrations that caused adult mortality. DDVP and ginger rhizome extract oil significantly affected digestive enzymes and acetylcholinesterase activities at lethal concentrations used in treatment. Protease activity was significantly increased in larvae exposed to extract oil than DDVP. Acetylcholinesterase activities in the adult insects exposed to maize grains treated with DDVP were higher than those exposed to maize treated with ginger extract oil. DDVP and the ginger extract oil have significant effects on the digestive enzymes. Nevertheless, ginger extract oil increased larval protease activity more than DDVP.

Biodiversity and Succession of Insects of Blackgram (Vigna mungo (L.) Hepper) During rabi in the Western Undulating Zone of Odisha

The field experiment was conducted to study about insect biodiversity and their succession in blackgram crop at the crop research farm, College of Agriculture, OUAT, Bhawanipatna during rabi 21. Twenty seven insects belong to seven orders and twenty two families were recorded during different growth stages of crop in an overlapping manner. Beside the insects twelve numbers of predators, three numbers of parasitoids and two pollinators were also noticed. The highest diversity index and evenness of insects were recorded at 42 SMW (0.902 and 1.000) followed by 50 SMW (0.833 and 0.710) respectively. The diversity of insects was almost uniform because of the evenness of the species. The insect order homoptera and the insect white fly came under superdominant class of dominance during all the growth stages of crop, whereas coleoptera and hemiptera were categorized under sub-dominant class at vegetative stage and flowering to podding stage of crop growth respectively. The insect orders hemiptera, coleoptera, diptera and hymenoptera and the insects i.e., galerucid beetle, jassid, stem fly, aphids and thrips came under recedent class of dominance. The relative abundance and dominant status of insect’s revealed that the maximum numbers of insects were belongs to orders homoptera (75.22%) followed by hemiptera (7.92%), coleoptera (6.30%), diptera (4.62%), hymenoptera (4.05%), orthoptera (0.89%), lepidoptera (0.86%) and odonata (0.09%).Chrysomelid beetles were noticed first during the early vegetative stage of crop followed by stem fly, white fly, leaf webber and semiloopers at the vegetative stage, tobacco caterpillar from late vegetative to pod filling stage, thrips in flowering stage, pod borers, pod bugs, aphids, pentatomid bugs and bihar hairy caterpillar from flowering to crop maturity stage and the pod fly and pod wasp from pod filling to pod maturity stage of the crop. Jassids, grasshoppers and predators like spiders, coccinellids beetles and parasitoids were appeared from mid vegetative stage and continued till fag end of the crop. The peak activities of insects were recorded from flowering to pod maturity stage of the crop.

The Relationship Between Tomato Yellow Leaf Curl Virus Resistance Gene and Root Knot Nematode Meloidogyne spp. Resistance Gene in Tomato Plants

Tomato Mi-1.2 resists root-knot nematodes. Mi, or a similar gene, may also be responsible for resistance to Bemisia tabaci whitefly in Mi-bearing commercial tomato varieties. Mi-1.2 is the only resistance gene that fights root-knot nematodes, aphids, and whiteflies. Mi is useful in integrated pest control strategies because these pests are the most damaging to tomato crops worldwide. Ten tomato varieties were produced to determine which are resistant to TYLCV and the root-knot nematode Meloidogyne spp. and whether these genes are linked. TYLCV-free nurseries were used to grow these tomato varieties. To assess these cultivars’ sensitivity and resistance to TYLCV, they were transferred to the plastic house and planted during Bemisia tabaci insect activity. These types were planted in soil contaminated with nematode eggs and juvenal, vaccinated, and reported every 15 days for disease incidence. Class H cultivars were vulnerable to nematodes and the virus, while class Gres were TYLCV-resistant. The rest of the cultivars were TYLCV-resistant, nematode-resistant, or both.

Potential Application of Organic Electronics in Electrical Sensing of Insects and Integrated Pest Management towards Developing Ecofriendly Replacements for Chemical Insecticides.

Synthetic insecticides are widely used against plant pest insects to protect the crops. However, many insecticides have poor selectivity and are toxic also to beneficial insects, animals, and humans. In addition, insecticide residues can remain on fruits for many days, jeopardizing food safety. For these reasons, a reusable, low-cost electronic trap that can attract, detect, and identify, but attack only the pest while leaving beneficial insects unharmed could provide a sustainable, nature-friendly replacement. Here, for the first time, research results are presented suggesting the great potential and compatibility of organic electronic devices and technologies with pest management. Electrical characterizations confirm that an insect's body has relatively high dielectric permittivity. Adaptive memcapacitor circuits can track the impedance change for insect detection. Other experiments show that printed polymer piezoelectric transducers on a plastic substrate can collect information about the weight and activity of insects for identification. The breakdown voltage of most insects´ integument is measured to be <200V. Long channel organic transistors easily work at such high voltages while being safe to touch for humans thanks to their inherent low current. This feasibility study paves the way for the future development of organic electronics for physical pest control and biodiversity protection.

Impact of Temperature on Insect Behavior in India

Purpose: The aim of the study was to investigate the Impact of Temperature on Insect Behavior in India.&#x0D; Methodology: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library&#x0D; Findings: Research on the impact of temperature on insect behavior in India has demonstrated significant findings. As temperatures continue to rise due to climate change, insects are exhibiting altered behaviors, affecting various ecosystems and agricultural practices. Studies indicate shifts in the timing of insect life cycles, including altered breeding patterns and earlier emergence from diapause. Additionally, rising temperatures have been associated with increased insect pest activity, posing threats to crop yields and ecosystem dynamics. These findings underscore the need for proactive measures to mitigate the consequences of changing insect behaviors in India, including adaptive agricultural strategies and ecosystem management practices.&#x0D; Unique Contribution to Theory, Practice and Policy: The Degree-Day Theory, Temperature-Dependent Activity Theory and Optimal Foraging Theory may be used to anchor future studies on the Impact of Temperature on Insect Behavior in India. Pest control strategies should be tailored to account for temperature-dependent shifts in insect activity patterns, thereby optimizing the timing and choice of control measures. Policymakers should recognize the critical role of temperature in shaping insect behavior and its cascading effects on ecosystems, food security, and public health.&#x0D; Keywords: Temperature, Insect, Behavior &#x0D; ©2023 by the Authors. This Article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0

Which plant traits matter? Bromelia antiacantha Bertol. (Bromeliaceae) as a hibernation site for Brachystethus geniculatus (Fabricius) (Hemiptera, Pentatomidae, Edessinae)

ABSTRACT Diapause is a process of decreased metabolic activity in insects. In latitudes with a well-defined cold season, diapause or hibernation is a strategy to survive in periods of resource scarcity. In Pentatomidae, this phenomenon is studied mainly in non-natural environments and with species of economic importance. This work aimed to determine which variables influence the abundance of Brachystethus geniculatus on its hibernation site, Bromelia antiacantha. Samplings were carried out monthly, from July to September of 2019, in a remnant of Atlantic Forest in southern Brazil. The height, diameter, cup height, leaf width, and abundance of bromeliads per plant cluster were evaluated for their correlation with the abundance of B. geniculatus in bromeliads. We collected 24 individuals for analysis of fat bodies, in order to check diapause. We found 70 individuals of B. geniculatus distributed in 33 of the 61 bromeliads examined. The number of B. geniculatus per bromeliad was positively correlated with the cup height, that influences the opening of the leaves and consequently decreases the exposure to environmental weathering, and the number of bromeliads per group, possibly because more leaves and spines around the cup may help avoid predation. Parasitism on B. geniculatus by tachinid flies was recorded in the field.

Warmer temperatures trigger insecticide-associated pest outbreaks.

Rising global temperatures are associated with emerging insect pests, reflecting earlier and longer insect activity, faster development, more generations per year and changing species' ranges. Insecticides are often the first tools available to manage these new threats. In the southeastern US, sweet potato whitefly (Bemisia tabaci) has recently become the major threat to vegetable production. We used data from a multi-year, regional whitefly monitoring network to search for climate, land use, and management correlates of whitefly activity. Strikingly, whiteflies were detected earlier and grew more abundant in landscapes with greater insecticide use, but only when temperatures were also relatively warm. Whitefly outbreaks in hotter conditions were not associated with specific active ingredients used to suppress whiteflies, which would be consistent with a regional disruption of biocontrol following sprays for other pests. In addition, peak whitefly detections occurred earlier in areas with more vegetable production, but later with more cotton production, consistent with whiteflies moving among crops. Altogether, our findings suggest possible links between warmer temperatures, more abundant pests, and frequent insecticide applications disrupting biological control, though this remains to be explicitly demonstrated. Climate-initiated pesticide treadmills of this type may become an increasingly common driver of emerging pest outbreaks as global change accelerates. © 2023 Society of Chemical Industry.

Silencing the rhythm gene AgCLK-1 reduced feeding of Aphis gossypii

The cotton aphid Aphis gossypii Glover is an important cotton pest, and means of controlling this insect is a primary research focus. Although biological rhythm is an important mechanism that regulates numerous insect processes and activities, its role in cotton aphid has not been elucidated. In the present study, four highly-expressed circadian rhythm genes were selected from the cotton aphid genome database and their physicochemical properties and protein structures were analyzed. These genes were in the Takeout, Timeless, and Timeless interacting-related families, and the corresponding proteins contained highly-conserved Swis and TIMELESS domains. Gene expression analysis at multiple developmental stages revealed differing expression patterns between the four genes. AgCLK-1 had the highest relative expression of the four, especially during the nymph period. Silencing AgCLK-1 caused a significant refusal of the cotton aphids to feed at 1, 3, and 5 d of treatment. These results demonstrated that AgCLK-1 played a key role in regulating the feeding behavior of cotton aphid. This new functional understanding provides novel insights into cotton aphid biology and suggests new targeting strategies for agricultural pest control.

Environmental impacts of industrial activities on floral coverage with special emphasis on detoxification enzyme activities in Cataglyphis savignyi as pollution biomarker

The present study investigates the environmental impact of industrial activities on floral coverage within the major industrial district of Borg El-Arab City, Egypt. Additionally, it aims to evaluate the detoxification enzymatic activity of Cataglyphis savignyi as a pollution biomarker. To achieve this objective, seasonal soil samples were collected from the studied sites to determine soil properties and heavy metal concentrations. Furthermore, a seasonal specimen of C. savignyi was collected to study the enzymatic activity of acetylcholinesterase (AChE) and glutathione-S-transferase (GST). Heavy metal contamination pollution indices were calculated, and fourteen plant species were identified at the investigated sites for four successive seasons from 2020 to 2021. The soil physicochemical parameters significantly varied in the industrial sites compared to the control site. The accumulation of heavy metal contamination in soil for investigated sites followed the order Ni > As > Pb > Hg. Calculated Cdeg and PLI for industrial 3 revealed a very high degree of contamination, attributed to increased industrial activity from the chemical and silicate factories that characterize this region. The current results highlight the inhibition of GST levels in C. savignyi at the industrial site compared to the control site. In contrast, AChE increases, which might be due to heavy metals enhancing acetylcholine activity at synapses. Consequently, the antioxidant enzymatic activities are useful as biomarkers for assessing and monitoring environmental contamination. In conclusion, this study underscores insects as potent biomarkers for heavy metal contamination, marking a significant advancement in environmental monitoring. These bioindicators offer crucial insights into the impacts of climate change and industrial pollution. The research reveals distinct plant diversity variations and higher heavy metal content in industrial sites, indicating pronounced contamination. Additionally, the study highlights altered enzyme activities in insects, emphasizing their utility as biomarkers for assessing environmental contamination. This work represents a substantial leap forward in comprehending the complex dynamics between contamination and ecological balance.

Comparative analysis of repellent products for dogs in the conditions of farms of the Ararat valley of Armenia

The article presents the results of a comparative analysis of the clinical efficacy of repellent agents in various forms in the climatic and natural conditions of the Ararat Valley of the Republic of Armenia, during the period of maximum seasonal and daily activity of blood-sucking diptera insects. In the period from June 14 to June 19, 2023, the repellent effect of the veterinary medicinal product RolfClub 3D (RolfClub 3D), in the form of drops on the withers for dogs, and the repellent collar Francodex against insects was studied. The experiment involved 38 clinically healthy dogs aged 1 to 10 years, of both sexes. During the examination of animals, we did not register any complications in the form of inflammatory processes on the skin and the general condition of the studied animals after the use of the funds. In the recommended doses in dogs, the drug did not cause undesirable side effects, specific toxic effects and effects on the central nervous system. The experiment confirmed the repellent effect of veterinary drugs in the form of drops on the withers of RolfClub 3D and a Francodex insect collar applied to dogs individually, once, during the prevention of bites of diptera flying insects according to the presented doses, rules and application techniques, showed high efficiency of the repellent effect in the conditions of farms of the Ararat Valley for 3 days.

Estimating Environmental and Economic Impacts of Hermetic Bag Storage Technology

Hermetic bag storage is a growing innovative technology that can effectively mitigate insect activity in stored grain and preserve quality without pesticides. This study aimed to estimate the environmental and economic impacts of hermetic storage bags as the basis for the sustainable adoption of the technology. This study demonstrated an approach to estimate the environmental impact of using hermetic bags and their superior economic benefits for storing maize at the 1-ton scale over three years. The life cycle assessment (LCA) of six commercially available hermetic bags (AgroZ®, GrainPro, Storezo, ZeroFly®, Elite, and PICS™) from cradle to grave was evaluated and compared using the Sustainable Minds LCA software. The gas barrier liners were analyzed for structure and polymer composition using confocal microscopy and Raman spectroscopy. The results showed that bag manufacturing had the highest environmental impact contribution, with 84.6% to 90.8% of the total impacts (mPt). The carbon footprint contribution of the total service life delivered for one hermetic bag ranged from 1.1 to 1.7 kg CO2eq. The economic benefits of using hermetic bags were calculated and compared with traditional storage bag methods for one smallholder farmer using ten (10) hermetic bags storing 100 kg/bag (1 ton) of maize. The results found that using hermetic bags exhibited the highest profit of 1130 USD when used for nine months over three years, while storage loss was maintained at less than 1%.