Hybridization Potential of Two Invasive Asian Longhorn Beetles

The Asian longhorned beetle (ALB), Anoplophora glabripennis (Motschulsky) and citrus longhorned beetle (CLB), Anoplophora chinensis (Förster) (both Coleoptera: Cerambycidae: Lamiinae), are high-risk invasive pests that attack various healthy hardwood trees. These two species share some similar host plants and overlapping distributions in large parts of their native ranges in China and the Korean peninsula as well as similar reproductive behaviors. The original Anoplophora malasiaca (Thomson) occurs in Japan and has been synonymized as CLB (hereafter referred to JCLB). In this study, a 30-min behavioral observation of paired adults, followed by a four-week exposure to host bolts, showed that ALB could not successfully cross with CLB. Mating was observed between female CLB and male ALB but not between female ALB and male CLB, no laid eggs hatched. JCLB males successfully crossed with ALB females to produce viable eggs although the overall percentage of hatched eggs was lower than those from conspecific mating pairs. However, ALB males could not successfully cross with JCLB females. CLB and JCLB mated and produced viable hybrid offspring and the hybrid F1 offspring eggs were fertile. These results suggest an asymmetrical hybridization between ALB and JCLB, and that both CLB and JCLB might be considered as two subspecies with different hybridization potential with congeneric ALB. Given their potential impacts on ecosystems and many economically important tree hosts, invasion of these geographically isolated species (ALB and JCLB) or distant subspecies (CLB and JCLB) into the same region may facilitate potential hybridization, which could be a potential concern for the management of these two globally important invasive forest pests. Further studies are needed to determine if fertile hybrid offspring are capable of breeding continually or backcrossing with parental offspring successfully.

Drones in Insect Pest Management

One of the major components in precision agriculture is crop health monitoring, which includes irrigation, fertilization, pesticide sprays, and timely harvest of the crop. Further, the progressive change in growth and development is critical in crop monitoring and taking suitable decisions to maintain health status. In order to accomplish the task, drones are highly useful for on site detection of problems so as to undertake corrective measures instantly. Although it is expensive to build algorithms and establish relationships between ground truth and spectral signatures, it is a user-friendly technique once the basics studies are done. As labor availability and technical manpower are extremely limited, particularly in India, drones are gaining popularity in the context of smart farming. Insect pests are known to cause catastrophe and drastic reduction in food grain production across the globe. The losses that have been predicted by FAO is over 37% due to pests and diseases. Recently, crops cultivated in India have been threatened by invasive pests like fall army worm (Spodoptera frugiperda) in corn and Rugose spiraling whitefly in coconut (Aleurodicus rugiperculatous Martin); these pests caused extensive damage during the years 2018 and 2019. The plant protection measures are to be taken on a community basis so as to ensure effective management of pests. In India, more than 80% of farmlands are in the category of small and marginal (<1 ha), so it is very difficult to manage the invasive pests. If one field is sprayed, the pests simply shift their feeding to the neighboring fields. To address this, drones become essential. Drones are unmanned aerial vehicles exploited in a wide array of disciplines such as defense, monitoring systems, and disaster management but are only beginning to be utilized in agricultural sciences. There are three major types of drones, namely fixed wing, multi-rotor, and hybrid type, and the usage depends on specific applications. The other types depend on degree of automation, size, weight, and power source. The set operational parameters such as flight speed, height, and endurance need to be optimized to use drones appropriately in agriculture and allied sectors. In addition, parameters related to drone-based spraying such as droplet size, spread, density, uniformity, deposition, and penetrability should also be factored in when implementing drone-based mitigation strategies. Despite the fact that drone technology is highly relevant and appropriate for pest management, the adoption of the technology is restricted. Regulatory guidelines have been set across the globe to perform site-specific farm management with higher precision at a very high resolution. Overall, drones can be employed in almost all agricultural field operations and are considered excellent tools for rapid, reliable, and non-destructive detection of field problems. This review provides panoramic views of drone technology and its application in the management of pests in a digital agriculture era.

INVASIVE PESTS DETECTED IN SOME GREENHOUSES OF EREVAN CITY

The following invasive species: Toxoptera aurantii Boyer de Fonscolombe, Toxoptera citricida Kirkaldy, Macrosiphoniteella sanborni Latr, Toxoptera , Macrosiphoniella Del Guercio), Trialeurodes vaporariorum Westwood (Aleyrodidae West., Trialeurodes Cockerell), Tetranychus viennensis Zacher (Tetranychidae Donn, Tetranychus Dufour), and Cenopalpus mespili Lufour. et Mitrofanov (Tenuipalpidae Sayed, Cenopalpus Pritchard & Baker) were identified during studying of the pest fauna of three greenhouse complexes ("Grig Garden", "Green Paradise" and "Avan") in Yerevan which are specialized on the cultivation of ornamental plants. Insecticide and acaricide resistant lines of Tetranychus viennensis and Macrosiphum rosae were found in two greenhouse complexes.

Estimating dispersal using close kin dyads: The KINDISPERSE R package

Investigating dispersal in animal populations can be difficult, particularly for taxa that are hard to directly observe such as those that are small or rare. A promising solution may come from new approaches that use genome-wide sequence data to detect close kin dyads and estimate dispersal parameters from the distribution of these dyads. These methods have so far only been applied to mosquito populations. However, they should have broad applicability to a range of taxa, although no assessment has yet been made on their performance under different dispersal conditions and study designs. Here we develop an R package and Shiny app, KINDISPERSE, that can be used to estimate dispersal parameters from the spatial distribution of close kin. KINDISPERSE can handle study designs that target different life stages and allows for a range of dispersal kernel shapes and organismal life histories; we provide implementation examples for a vertebrate (Antechinus) and an invertebrate (Aedes). We use simulations run in KINDISPERSE to compare the performance of two published close kin methodologies, showing that one method produces unbiased estimates whereas the other produces downward-biased estimates. We also use KINDISPERSE simulations to investigate how study design affects dispersal estimates, and we provide guidelines for the size and shape of sample sites as well as the number of close kin needed for accurate estimates. KINDISPERSE is easily adaptable for application to a variety of research contexts ranging from invasive pests to threatened species where non-invasive DNA sampling can be used to detect close kin.

Trapping, identification and rearing of edible palm weevils in Kenya and Uganda

Palm weevils, Rhynchophorus spp. (Coleoptera: Curculionidae) double as devastating invasive pests of palms, and delicacies in many communities. This study evaluated ethyl acetate and 3-methyl-octan-4-ol for trapping palm weevils from coconut, oil and raffia palms in Kenya and Uganda; taking into account the distance of traps on oil palm from a forest or raffia palm. Eggs from the weevils from different locations were incubated and their larvae reared on sugarcane under laboratory conditions. All the 285 weevils collected were identified by morphological and molecular techniques as Rhynchophorus phoenicis, and the catch was female-biased. 3-methyl-octan-4-ol attracted more weevils than ethyl acetate. More weevils were caught at ~100 m away from the forest than within 15 m outside the forest; and on raffia palm than oil palm irrespective of distance apart. Eggs took ~4 d to develop and 95-100% of pupae developed into adults, irrespective of the collection site. Larval and pupal developmental periods for weevils from Uganda were longer than those of Kenya, resulting in egg-adult development of ~6 months and ~4 months, respectively. The sex ratio of laboratory produced males and females was similar. These results can guide in designing an integrated R. phoenicis management system with a dual benefit of protecting palms from weevil attack and utilising the weevils to improve human nutrition.

Citizen science and niche modeling to track and forecast the expansion of the brown marmorated stinkbug Halyomorpha halys (Stål, 1855)

Halyomorpha halys (Stål, 1855), the Brown Marmorated StinkBug (BMSB) is a highly successful invasive species native to eastern Asia that managed to spread into North America and Europe in recent decades. We set up a citizen science survey to monitor BMSB expansion in France in 2012 and analyzed the data it yielded between 2012 and 2019 to examine the local expansion of the insect. These data were gathered with occurrences form various sources (GBIF, literature) to calibrate a species niche model and assess potential current BMSB range. We evaluated the potential changes to the BMSB range due to climate change by projecting the model according to 6 global circulation models (GCM) and the shared socio-economic pathways SSP245 in two time periods 2021–2040 and 2041–2060. Citizen science allowed to track BMSB expansion in France and provided information about its phenology and its habitat preferences. The model highlighted the potential for further range expansion in Europe and illustrated the impact of climate change. These results could help managing the current BMSB invasion and the framework of this survey could contribute to a better preparedness of phytosanitary authorities either for the BMSB or other invasive pests.

New Invasive Insects Associated with Oak Forests in Lebanon

Oak forests (Fagaceae) are native in Lebanonand occupy the largest areas of approximately 40,000 ha. The most common species are Quercus calliprinos, Q. infectoria, Q. cerris var. pseudo cerris andQ.brantii. Due to climate change and human activities, oak forests have become more vulnerable to native and exotic invasive pests. A total of 26insect species associated with oak trees were recently identified in Lebanon. The most dangerous insect pestisthe gypsy moth Lymantria dispar (Lepidoptera), onQ. calliprinos andQ. Cerris. The oak leafminer Phyllonorycter libanotica (Lepidoptera)and the Eriophidae(Accari) arethe most species recorded on Q. infectoriaand Q.calliprinosfollowed by the giant mealybug Ceroputo pilosellae(Hemiptera) on Q. infectoriaand Q.calliprinosandthe oak mothThaumetopoea sp.(Lepidoptera) on Q. calliprinos and Q. Cerris. Eightnew species were recorded for the first time in Lebanon on oak and are listed in this paper. Fivespecies of Cinipidae (Hymenoptera): Andricus caputmedusae, A. cecconi, A. sternlichti, Plagiotrochus quercusilicisand Neuroterus quercusbaccarum, one speciesof Scolytidae,Xylosandrus compactus(Coleoptera),one species ofKermesidaeKermes echinatus (Hemiptera)and one species of Diaspididae,Koroneaspis aegilopos(Hemiptera).Keywords: Lebanon, oak, forest decline, invasive species, outbreak