Pest Management Interventions Research Articles

Monitoring the spread of a pathogenic insect on vineyards using UAS

Abstract. Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused significant economic losses, mainly affecting vine cultures. Reliable identification of pests is essential for its management, but it is time-consuming and laborious. This has prompted growing interest in image-based methods, supported by computer vision (CV), which can significantly improve efficiency in insect detection. This study aims to evaluate a CV algorithm's effectiveness in identifying adult specimens of Popillia using Near-Infrared sensors on Uncrewed Aerial Systems (UAS). The project, conducted in two vineyards in northern Italy, intends to establish a replicable and standardised data acquisition protocol for future monitoring activities. Insects detected by the CV-based method are validated by manual counting performed by entomologists. In a GIS environment, prescription maps are generated in near real-time to identify where the vineyard is most affected and to guide the drone spraying treatment only on the areas in which the threshold is exceeded. The study demonstrates effective semi-automated monitoring, with a clear correlation between CV-based and manual insect measurements, as indicated by the Pearson correlation coefficients ranging from 0.89 to 0.96. Although the CV-based method may overestimate insect numbers, it provides valuable insights for targeted pest management interventions and damage assessment. The project outcomes offer a promising approach to safeguarding agriculture against invasive species, enhancing regional economic resilience while minimising the spread of insecticide, the required time, and human interaction with harmful substances.

Detection of Aphid-Infested Mustard Crop Using Ground Spectroscopy

Timely detection of pest infestation in agricultural crops plays a pivotal role in the planning and execution of pest management interventions. In this study, a ground measured electromagnetic spectrum through hyperspectral sensing (400–2500 nm) was conducted in healthy and aphid-infested mustard crops in different regions of the Bharatpur district of Rajasthan state, India. The ground measured hyperspectral reflectance and its derivatives during the mustard aphid infestation period were used to identify the sensitive spectral regions in the electromagnetic spectrum concerning Aphid Infestation Severity Grade (AISG) to discriminate Lipaphis-infested mustard crops from the healthy ones. Further Principal Component Analysis (PCA) and Partial Least Square Regression (PLSR) were utilized to identify specific spectral bands to differentiate the healthy from aphid-infested crops. The spectral regions of 493–497 nm (blue), 509–515 nm (green), 690–714 nm (red), 717–721 nm (red edge), and 752–756 nm (NIR) showed high correlation with AISG for reflectance, first and second order derivatives. Further analysis of the spectra using PCA and PLSR indicated that spectral bands of 679 nm, 746 nm, and 979 nm had high sensitivity for discriminating aphid-infested crops from the healthy ones. Average reflectance and various spectral indices such as ratio spectral index (RSI), difference spectral index (DSI), and normalized difference spectral index (NDSI) of identified spectral regions and absolute reflectance of identified specific spectral bands were used for predicting AISG. Several regression models, including PCR and PLSR, were examined to predict the AISG. PLSR was found to better predict infestation grade with RMSE of 0.66 and r2 0.71. Our outcomes counseled that hyperspectral reflectance data have the ability to detect aphid-infested severity in mustard.

Acoustic Comparisons of Red Palm Weevil (Rhynchophorus ferrugineus) Mortality in Naturally Infested Date Palms after Injection with Entomopathogenic Fungi or Nematodes, Aluminum Phosphide Fumigation, or Insecticidal Spray Treatments.

Red palm weevil (RPW) management is important to the economic success of date palm agriculture. Monitoring with acoustic sensors was conducted in naturally infested trees in date palm orchards for six months after treatments with entomopathogenic fungi (Beauveria bassiana and Metarhizium anisopliae), entomopathogenic nematodes (Steinernema carpocapsae), aluminum phosphide, emamectin benzoate, or fipronil to evaluate their efficacy in an integrated pest management treatment vs. a distilled water injection. Reductions in the mean rates of RPW sound impulse bursts over time after treatment were used as indicators of RPW mortality. Entomopathogenic fungi and nematodes, aluminum phosphide, and emamectin benzoate were the most effective treatments, reducing RPW impulse burst rates within 2-3-months to levels indicating absence of infestation. However, when applied as a spray, fipronil had only a minor effect. The results indicate that treatments utilizing entomopathogenic fungi or nematodes can beneficially manage RPW in palm orchards and can help to limit treatments that may induce insecticide resistance or cause human and environmental harm. Furthermore, the use of an acoustic sensor can be beneficial in monitoring the activities of insect borers inside the tree trunk.

Global Advances on Insect Pest Management Research in Oil Palm

Here, we review the advances in research on management of key oil palm insect pests globally, including defoliators, leaf/fruit scrapers, borers and sap feeders. The common oil palm pest management methods include synthetic insecticides, biopesticides, semiochemical lures, cultural practices, and integrated approaches. However, effectiveness, affordability, availability and impact of these methods on human and environmental health vary considerably based on the target insect and geographical location. The use of quarantine regulations to prevent the spread of invasive pests has also been applied with remarkable results. There are notable research advances in semiochemicals, bioacoustic detectors, nanotechnology, insect growth regulators, and entomophagy for better management of oil palm pests. We suggest the following research areas for improving effectiveness of oil palm pest management interventions: (i) exploration of semiochemical attractants for the majority of pests with no previous semiochemical work, and their integration in attract-and-kill devices laced with pathogenic microbes; (ii) expanding the application of digital sensing, predictive modeling and nano-technology in pest control strategies; (iii) developing effective technologies for mass trapping of edible insect pests for food or feed, especially among communities with a tradition of entomophagy; and (iv) strengthening regulatory frameworks for the management of quarantine oil palm insect pests.

English

Two experiments were conducted, first was to estimate maize seedling damage in farmers’ fields and a simulation experiment. This study aim to investigate the impact of rodent pest species, damage to maize crop in semi-arid areas at pre-harvest, with a view to provide farmers with appropriate information on rodent pest management interventions. In farmers’ fields, damage assessment was done by counting the number of damaged or removed seedlings at each planting hole while yield loss was determined from simulation experiment at five damage levels, viz; 0, 10, 25, 50, and 75% by removing seedlings per plot. Variation of damaged maize seedlings was compared between soil type and fields. The fields with black clay soils had higher damage of maize seedling (mean = 59.201±1.714) as compared to sandy loam soils (means = 49.742±1.714). The damage ranged from 30.17 to 71.91% in different fields. However, no effect was observed between interactions of maize fields and soil types. Results from simulation experiment showed no significant difference (p = 0.2357) among maize damage levels, although relatively higher yield losses were observed at 75%, while lowest yield losses in the control (0%). The increased seedling damage has an impact on final harvest; therefore, ecologically-based rodent management strategies appear to be good solution for reducing crop damage and should be encouraged to improve food security for smallholder farmers. Key words: Damage, habitats, M. natalensis, rodent pest, semi-arid.

Potential distribution of fall armyworm in Africa and beyond, considering climate change and irrigation patterns

The fall armyworm, Spodoptera frugiperda (FAW), first invaded Africa in 2016 and has since become established in many areas across the continent where it poses a serious threat to food and nutrition security. We re-parameterized the existing CLIMEX model to assess the FAW global invasion threat, emphasizing the risk of transient and permanent population establishment in Africa under current and projected future climates, considering irrigation patterns. FAW can establish itself in almost all countries in eastern and central Africa and a large part of western Africa under the current climate. Climatic barriers, such as heat and dry stresses, may limit the spread of FAW to North and South Africa. Future projections suggest that FAW invasive range will retract from both northern and southern regions towards the equator. However, a large area in eastern and central Africa is projected to have an optimal climate for FAW persistence. These areas will serve as FAW ‘hotspots’ from where it may migrate to the north and south during favorable seasons and then pose an economic threat. Our projections can be used to identify countries at risk for permanent and transient FAW-population establishment and inform timely integrated pest management interventions under present and future climate in Africa.

Woody plant biodiversity explains arthropod pest management interventions in residential landscapes

The woody plant communities found on residential properties constitute an integral component of cities’ green infrastructure and serve as a nexus between urban residents and the natural world. Despite this importance, residential landscapes are infrequently designed with principles of sustainability in mind, resulting in the extensive use of pesticides to suppress a diverse array of plant pests. In this study, we ask whether ecological theory can inform the sustainable design and management of woody plant communities on urban residential properties. The associational resistance and dilution effect hypotheses are analogous hypotheses, which posit that increasing biodiversity can inhibit the abundance of herbivores and pathogens, respectively. Importantly, theory suggests that it might not just be diversity that matters, but the right kind of diversity (i.e., community composition). Previous studies have demonstrated that herbivore abundance can be greater on native plants compared to exotic plants in residential landscapes. However, little is known regarding whether this translates into greater numbers of interventions to reduce damage associated with plant pests on native plants. To test these hypotheses, we utilized a multi-year, commercial plant health care program dataset. We examined, at the residential property scale, the relationships between woody plant diversity, the percentage of plants that were native, and pest management interventions. We found that the number of pest management interventions targeting phytophagous arthropods, but not plant pathogens, was negatively related to woody plant biodiversity. The percentage of native plants on a property had no relationship with the number of pest management interventions that occurred. Consequently, efforts to increase woody plant biodiversity in residential landscapes could result in increased phytophagous arthropod pest suppression, thereby reducing the need for pesticide applications and their associated adverse effects.

Determinants of Women's Decision-Making Power in Pest and Disease Management: Evidence From Uganda

Using quantitative data from a household survey carried out in Rubanda district, Southwestern Uganda among smallholder farmers of potato, this paper examines determinants of intra-household decision-making of women in relation to pest and disease management in a cropping season. Pests and diseases cause significant crop losses and contribute to household food insecurity in most of sub-Saharan Africa. Their management is therefore key in enhancing food security. While there are many pest and disease management practises, little is known about women's autonomy in decision-making on this topic. The survey collected quantitative data from 260 households (130 men and 130 women). To get a more accurate proxy for decision-making power, a weighted index and linear regression models were used to examine the relationship between decision-making power of women in pest and disease management and socio-demographic characteristics. We found that farming experience, use of hired labour and membership to a farmers group, were positively associated with woman's autonomy in decision-making during pest and disease management. Our data also show that higher levels of education, farm income and age consistently improve women authority. The implications of the study are that, women should equally be targeted during pest and disease management interventions such as training.

Evaluating the success of treatments that slow spread of an invasive insect pest.

Treatments for the suppression and eradication of insect populations undergo substantial testing to ascertain their efficacy and safety, but the generally limited spatial and temporal scope of such studies limit knowledge of how contextual factors encountered in operational contexts shape the relative success of pest management treatments. These contextual factors potentially include ecological characteristics of the treated area, or the timing of treatments relative to pest phenology and weather events. We used an extensive database on over 1000 treatments of nascent populations of Lymantria dispar (L.) (gypsy moth) to examine how place-based and time-varying conditions shape the success of management treatments. We found treatment success to vary across states and years, and to be highest in small treatment blocks that are isolated from other populations. In addition, treatment success tended to be lower in treatment blocks with open forest canopies, possibly owing to challenges of effectively distributing treatments in these areas. Our findings emphasize the importance of monitoring for early detection of nascent gypsy moth colonies in order to successfully slow the spread of the invasion. Additionally, operations research should address best practices for effectively treating with patchy and open forest canopies. © 2021 Society of Chemical Industry.

Could bacterial associations determine the success of weevil species?

AbstractThe weevil superfamily Curculionoidea is the largest insect group and so the largest animal group on earth. This taxon includes species which represent an important threat to many economically important crops and, therefore, pose a risk to agriculture and food security. Insect–bacteria associations have been recognised to provide the insect host with many benefits, such as ensuring the acquisition of essential nutrients or protecting the host from natural enemies. The role of bacteria associations within the weevil superfamily remains nonetheless understudied in comparison with other insect taxa. This review draws together existing knowledge on the influence of bacteria associated with weevils known to be agricultural pest species. The implications of these weevil–bacterial associations in determining pest status and their relevance to targeted pest management interventions are discussed. Specific consideration is given to the role of bacteria in cuticle formation, flight activity, reproduction manipulation and adaptation to different environments and food sources.

EFECTO DE INSECTICIDAS BIORRACIONALES Y NEONICOTINOIDES EN LAS POBLACIONES DE Bemisia tabaci Y RENDIMIENTO DE FRUTO EN TOMATE

<p><strong>Background.</strong> The whitefly <em>Bemisia tabaci</em> (Gennadius, 1889) (Hemiptera: Aleyrodidae) is a pest that causes significant losses in field and greenhouse crops worldwide. <strong>Objective.</strong> To evaluate the incorporation of biorational and chemical insecticides on the population density of whitefly <em>Bemisia tabaci</em>, fruit yield and fruit quality in tomato. <strong>Methodology. </strong>Three pest management treatments were included: Biorational (botanical insecticides and insect growth regulators), Biorational-Intermediate (botanical insecticide and chemical insecticides) and Conventional (conventional chemical insecticides). <strong>Results. </strong>Overall, the population density of <em>B. tabaci</em> was low from the time when the pest-exclusion floating net was removed to the sampling periods 61 to 78 days after transplant (dat). However from 92 to 108 dat, the population density of inmature and adults increased dramatically. The treatment Conventional was the most effective to supress the population density of <em>B. tabaci</em> when they were low, but when an increase in population density of <em>B. tabaci</em> ocurred, the treatment Biorational-Intermediate was the most effective. The population density of eggs and nymphs on plant leaves were similar among treatments. The fruit yield and overall the bromatologic characteristics of fruits were not significantly different among treatments. <strong>Conclusion. </strong>The treatment Biorational-Intermediate would represent a feasible strategy to manage <em>Bemisia tabaci</em> in tomato crops.</p>

Agroecological food web modelling to evaluate and design organic and conventional agricultural systems

The question of whether organic or conventional agriculture is most suitable for meeting world food requirements and improving resilience to climate change is the topic of much current research. Most comparisons, however, focus either on output efficiency such as yields or on impacts of different nutrient management strategies on the sustainability of the agrosystems, and the impacts of each on the agricultural food webs and beneficial insects responsible for pest control – or outbreaks – has been often overlooked. While standard cropping models can explain if, why and how organic nutrient and crop management work and how they should be adapted to climate change, the lack of mechanistic models of agroecology prevents us from explaining why and how passive and active biocontrol and integrated pest management function, when they do not function, and what optimal management strategies could be employed.In this research, we show that agroecological food web models calibrated with field population dynamics data can be used to demonstrate the mechanisms behind food web dynamics that have been previously observed in the field. Results of scenario simulations show that chemical control provides immediate relief from pest pressures, but at high risk of later pest resurgence if control is not repeated; on the contrary, biological control requires more time to reduce pest populations to acceptable levels but with minimal risk of causing resurgence. In all cases, success of pest control measures is highly dependent on the date of action. In addition, the use of modelling tools to optimise biological control application dates led to much better control than either fixed date or pest population threshold-based applications. These analyses and resulting integrated pest management intervention recommendations are only possible with agroecological food web population dynamics models.We encourage future studies to examine more complex food webs from a variety of agroecosystems to test whether functional responses differ significantly, and hope that this approach will succeed in bringing agroecological food web predictive modelling to the level where it can routinely be used as a decision-making support tool, as hydrological and crop models are employed today.

Combined action of Lavandula angustifolia Miller essential oil and gamma irradiation treatment on some biological aspects of the Mediterranean flour moth Ephestia kuehniella (Zeller)

This study evaluated the effectiveness of an integrated pest management intervention for controlling the Mediterranean flour moth Ephestia kuehniella Zeller using gamma radiation and Lavandula angustifolia Moench essential oil as feasible alternatives to synthetic insecticides. The mortality rate of E. kuehniella larvae treated with either gamma radiation or L. angustifolia essential oil separately was much lower than the mortality rate after the combined treatment. High synergistic effects (Synergism = 0.1) were observed in all dosages, especially using 1.14 and 1.7 µL/L air of L. angustifolia in combination with 200 Gy of gamma radiation, which was more effective than the other treatments. The results of the antifeedant test indicated that the relative growth rate and relative consumption rate in fumigated (0.021 and 0.021 mg/mg/day) and irradiated (0.026 and 0.049 mg/mg/day) larvae were significantly lower than those of non-treated ones (0.035 and 0.093 mg/mg/day). The results also showed a significant increase in the efficacy of conversion of ingested food and feeding deterrent index due to both irradiation and essential oil. The experiments showed that the known insecticidal effectiveness of essential oils can be enhanced by preliminary irradiation.

CLIMEX and MED-FOES Models for Predicting the Variability in Growth Potential and Persistence of Mediterranean Fruit Fly (Diptera: Tephritidae) Populations

Abstract CLIMEX and MED-FOES models integrate climate and data on Mediterranean fruit fly (medfly), Ceratitis capitata (Wiedemann), biology and use it to define the environmental suitability for the pest at specific geographical locations. CLIMEX calculates growth indices as indicators of conditions that are suitable for medfly population growth. MED-FOES incorporates additional information on pest management interventions to simulate the process and timing of medfly eradication. CLIMEX simulations of climatic suitability in California and Florida indicated that the most favorable periods for medfly population growth are March through May and October through November, whereas the environment would be especially stressful during the summer months, except when irrigation is applied. With irrigation, California is highly suitable for medfly population growth during the summer months. Due to cool temperatures, medfly populations are likely to decline significantly in January through February in Los Angeles, Tampa, and Miami, and probably not survive in San Francisco. According to MED-FOES simulations, it possibly would take longer to eradicate medfly from California than Florida, particularly if the incursions are initiated in the summer months. Medfly annual growth indices for the ENSO La Niña years are relatively low for San Francisco and Los Angeles but above neutral for Tampa and very high for Miami. During the El Niño phase, the growth index remains unchanged for San Francisco, increases for Los Angeles, and decreases for Tampa and Miami. CLIMEX and MED-FOES models are useful for informing plans to manage invasion threats from medfly and other invasive insects.

A randomized trial of a one-time pest intervention: impact on childhood asthma outcomes

Objectives: To evaluate the effects of a one-time, apartment-level Integrated Pest Management (IPM) intervention on healthcare utilization and asthma symptoms among children with persistent asthma living in households with a pest infestation.Study design: In a randomized controlled trial of 384 children aged 5–12 years with persistent asthma, we assigned 183 to receive IPM and 197 to usual care (UC). The primary outcome was healthcare utilization from hospital and Medicaid claims records. Secondary outcomes included caregiver-reported asthma symptoms, pest infestation levels, missed days of school due to asthma, and rescue medication use.Results: The entire cohort improved over the study period, with significant but equivalent declines in mean healthcare utilization in both groups. IPM group had fewer days with reduced activity due to asthma (p = 0.04) and larger declines that fell short of statistical significance in asthma symptom days (p = 0.22), severe symptoms (p = 0.16), missed school (p = 0.27) and rescue medication use (p = 0.27). Both roach (p = 0.001) and mice (p = 0.11) infestations decreased much more in the IPM group than the UC group.Conclusions: After a one-time, apartment-level IPM intervention, we found no difference in health care utilization, but fewer days of reduced activity and consistent suggestive evidence of clinically meaningful improvements relative to usual care across other secondary outcomes. Coupled with the established effectiveness of IPM in reducing allergens and scientific consensus on pest-related allergens as asthma triggers, these findings support adding home pest control to traditional medical management of children with severe asthma.

Influence of three pest management treatments against aphid, Sitobion avenae in winter wheat (Triticum aestivum L.) under Moscow area conditions

In Russia, winter wheat represents a significant proportion of food production in the whole agricultural system. However, wheat pests, particularly English grain aphid, Sitobion avenae, induce high quantitative and qualitative losses with important economic losses. The current study aimed at investigating three pest management treatments: basic, intensive and highly intensive on the control of Sitobion avenae. The treatments included: fertilizers, insecticides and growth regulators at different combinations and concentrations. Six winter wheat varieties studied during 2016, 2017 and 2018 were Moscovckaya 39 variety (V1), Moscovckaya 40 variety (V2), Moscovckaya 56 variety (V3) Nemchinovckaya 17 variety (V4), Nemchinovckaya 24 variety (V5) and Nemchinovckaya 57 variety (V6). Yield performances, protein content and the infection rates of S. avenae on winter wheat crop were measured according to the tested treatments and the investigated varieties. The results showed that S. avenae was responsible of significant negative impacts causing important economic losses. The tested treatments demonstrated that the highly intensive treatment was the most effective to control S. avenae and to preserve wheat yield and grain quality particularly when tested on Moscovckaya 56 variety (V3) with (13.49 t/ha) of production. The results were variety-dependent revealing the intrinsic genetic potential where Moscovckaya 40 variety (V2) appeared as the most resistant against S. avenae with the lowest infection rate (0.02%). The current study opens opportunities for a large-scale application of the tested treatments on winter wheat in different wheat cultivated land.

A Phenology Model for Asian Gypsy Moth Egg Hatch.

Phenology models are useful tools in pest management interventions, biosecurity operations targeting alien invaders, and answering questions regarding the potential for range expansion/shift. The Gypsy Moth Life Stage model (GLS) has been used to predict the invasive range of the North American gypsy moth (Lymantria dispar dispar Linnaeus [Lepidoptera: Erebidae]) in North America and New Zealand. It has been used to examine the role of supra-optimal temperatures in range expansion/stasis/retraction. However, GLS has also been used where the target organism is the Asian subspecies L. d. asiatica Vnukovskij, despite observed differences between the predominant phenotypes of the two subspecies in the temperature requirements for egg hatch and the absence of egg phenology model parameters specific to the Asian phenotype. Here we describe the results of temperature and exposure duration on the timing of Asian gypsy moth egg hatch, and we present phenology model parameters for the Asian phenotype. Sum of squared differences (observed minus predicted day of median egg hatch) was reduced from 7,818 d2 (North American parameters) to 178 d2. Days of simulated median egg hatch differed from the observed days by 0-7 d (x¯=0.2;SD=3.1). The pattern of simulated egg hatch closely mimicked the irregular pattern of observed egg hatch from the temperature regimes of our experiment. Egg hatch is arguably the most important life cycle event in gypsy moth population suppression/eradication interventions and in estimating their potential invasive range. The model parameters described here produce accurate predictions of Asian gypsy moth egg hatch.

Identification of attractive blend for spotted wing drosophila, Drosophila suzukii, from apple juice

Drosophila suzukii, commonly known as the spotted wing drosophila (SWD), is an exotic fruit fly from Southeast Asia that was introduced to the temperate regions of North America and Europe in 2008. It attacks a wide variety of fruits and has become a devastating pest of soft-skinned fruit crops. Due to the rapid spread of SWD across the newly invaded continents, fresh fruit markets have a zero-tolerance policy regarding D. suzukii infestation. Specific and efficient D. suzukii detection tools are urgently needed so that farmers can deliver timely management interventions to meet market demands. Since SWD is known to be attracted to damaged and rotting fruits, headspace volatiles from fresh and fermented apple juices were collected and analyzed by gas chromatography–mass spectrometry. Special attention was given to the compounds produced and/or enriched during the fermentation process. After performing a series of laboataory and field tests, we identified a quinary blend, which is more efficient and selective for D. suzukii than the currently standard apple cider vinegar and commercially available SWD lure under field conditions. Identification of SWD attractant will help growers accurately detect D. suzukii adult infestations in orchards, thereby allowing for timely pest management interventions while reducing conventional insecticidal usage to protect our crops, environment, and ecosystem.

Evaluation of repellent and insecticidal properties of a novel granite dust product in crop protection

Inert rock dusts, such as diatomaceous earth, represent effective products for insect pest management. We investigated the properties of a novel granite dust product in different formulations as a repellent and insecticidal agent against two important horticultural crop pests (Plutella xylostella and Trichoplusia ni). Foliar application of granite dust (dry and in aqueous solution) reduced larval feeding damage of P. xylostella and T. ni on cabbage leaves. In the case of P. xylostella, aqueous formulation of granite dust with surfactant had a significant insecticidal effect on larvae. In oviposition bioassays, adult P. xylostella female insects oviposited significantly fewer eggs on cabbage leaves treated with granite dust than on control leaves. Our results demonstrate, for the first time, the potential use of granite dust as a pest management treatment providing repellent and insecticidal activities exceeding other mineral and dust-based pest management products.

The classroom microbiome and asthma morbidity in children attending 3 inner-city schools

The classroom microbiome is different from the home microbiome. Higher classroom microbial diversity is associated with increased asthma symptoms. In this pilot study, a school-level integrated pest management intervention changed the classroom microbiome.