Panagiotis A. Eliopoulos

Detection of Adult Beetles Inside the Stored Wheat Mass Based on Their Acoustic Emissions

ABSTRACT The efficacy of bioacoustics in detecting the presence of adult beetles inside the grain mass was evaluated in the laboratory. A piezoelectric sensor and a portable acoustic emission amplifier connected with a computer were used. Adults of the most common beetle pests of stored wheat have been detected in varying population densities (0.1, 0.5, 1, and 2 adults per kilogram of wheat). The verification of the presence of the insect individuals was achieved through automated signal parameterization and classification. We tried out two different ways to detect impulses: 1) by applying a Hilbert transform on the audio recording and 2) by subtracting a noise estimation of the recording from the spectral content of the recording, thus allowing the frequency content of possible impulses to emerge. Prediction for infestation was rated falsely negative in 60-74%, 48-60%, 0-28%, and 0-4% of the cases when actual population density was 0.1, 0.5, 1, and 2 adults per kilogram, respectively, irrespective of pest species. No significant differences were recorded in positive predictions among different species in almost all cases. The system was very accurate (72–100%) in detecting 1 or 2 insects per kilogram of hard wheat grain, which is the standard threshold for classifying a grain mass “clean” or “infested.” Our findings are discussed on the basis of enhancing the use of bioacoustics in stored-product IPM framework.

Fumigant Toxicity of Essential Oils from Basil and Spearmint Against Two Major Pyralid Pests of Stored Products

ABSTRACT The fumigant activity of essential oil vapors distilled from sweet basil Ocimum basilicum L. and spearmint Mentha spicata L. (Lamiaceae) were tested against two major stored products pests Ephestia kuehniella (Zeller) and Plodia interpunctella (Hübner) (Lepidoptera: Pyralidae). Various oil doses (0.5, 2.5, 5, 50, 250, 500, 1,000, and 1,500 µl/liter air), for an exposure period of 24 h, were tested. The essential oils were subjected to gas chromatography—mass spectrometry analysis and revealed that the major compounds were for spearmint oil carvone (67.1%) and limonene (+1,8 cineole; 14.3%) and for basil oil linalool (45.9%), 1,8 cineole (16.7%) and eugenol (10.3%). Apart from a few exceptions, no significant differences in insecticidal action were observed between basil and spearmint oil. Both oils were highly effective against adult moths, given that notable mortality (>80%) was recorded after exposure to low doses such as 2.5 µl/liter. Noteworthy, egg mortality was also recorded, reaching 73–79% for basil and 56–60% for spearmint. Toxicity data indicated that larvae and pupae were the most tolerant stages in all cases. Larval mortality never exceeded 21 and 18%, for basil and spearmint, respectively, irrespective of moth species. Basil and spearmint oils displayed mortalities as high as 38 and 28% in pupae. Lethal doses (LD50 and LD99) values were estimated via probit analysis. Developmental stage proved to be a significant factor, whereas the effect of oil species on insect mortality was insignificant. With the exception of adult individuals, basil and spearmint oils did not show satisfactory overall insecticidal activity against E. kuehniella and P. interpunctella.

Automated Remote Insect Surveillance at a Global Scale and the Internet of Things

Τhe concept of remote insect surveillance at large spatial scales for many serious insect pests of agricultural and medical importance has been introduced in a series of our papers. We augment typical, low-cost plastic traps for many insect pests with the necessary optoelectronic sensors to guard the entrance of the trap to detect, time-stamp, GPS tag, and—in relevant cases—identify the species of the incoming insect from their wingbeat. For every important crop pest, there are monitoring protocols to be followed to decide when to initiate a treatment procedure before a serious infestation occurs. Monitoring protocols are mainly based on specifically designed insect traps. Traditional insect monitoring suffers in that the scope of such monitoring: is curtailed by its cost, requires intensive labor, is time consuming, and an expert is often needed for sufficient accuracy which can sometimes raise safety issues for humans. These disadvantages reduce the extent to which manual insect monitoring is applied and therefore its accuracy, which finally results in significant crop loss due to damage caused by pests. With the term ‘surveillance’ we intend to push the monitoring idea to unprecedented levels of information extraction regarding the presence, time-stamping detection events, species identification, and population density of targeted insect pests. Insect counts, as well as environmental parameters that correlate with insects’ population development, are wirelessly transmitted to the central monitoring agency in real time and are visualized and streamed to statistical methods to assist enforcement of security control to insect pests. In this work, we emphasize how the traps can be self-organized in networks that collectively report data at local, regional, country, continental, and global scales using the emerging technology of the Internet of Things (IoT). This research is necessarily interdisciplinary and falls at the intersection of entomology, optoelectronic engineering, data-science, and crop science and encompasses the design and implementation of low-cost, low-power technology to help reduce the extent of quantitative and qualitative crop losses by many of the most significant agricultural pests. We argue that smart traps communicating through IoT to report in real-time the level of the pest population from the field straight to a human controlled agency can, in the very near future, have a profound impact on the decision-making process in crop protection and will be disruptive of existing manual practices. In the present study, three cases are investigated: monitoring Rhynchophorus ferrugineus (Olivier) (Coleoptera: Curculionidae) using (a) Picusan and (b) Lindgren trap; and (c) monitoring various stored grain beetle pests using the stored-grain pitfall trap. Our approach is very accurate, reaching 98–99% accuracy on automatic counts compared with real detected numbers of insects in each type of trap.

Susceptibility of Ceratitis capitata to deltamethrin and spinosad in Greece

Ceratitis capitata is an important pest of citrus in Greece, also causing severe damage to other fruits. Its control has been based on organophosphates for many decades, but recently there has been a switch to pyrethroids. In the present study, the resistance status to deltamethrin and spinosad in 27 C. capitata samples from various hosts and regions of Greece was examined with toxicity bioassays. The bioassays did not reveal significant levels of resistance in either of the two insecticides. All but one of the samples tested with deltamethrin showed a significantly higher LD50 than the susceptible strain (LS) but the resistance factor (RF) values were low (1.2–4.6). In support of this, no significant overexpression of the CYP6A51 gene (associated with pyrethroid resistance in other studies) was detected in the samples examined compared to the LS, indicating the absence of incipient pyrethroid resistance. Lower between-sample variation was observed in the response to spinosad compared to deltametrin; CV for LD50 values: 19.4 vs. 40.0%, respectively, RF values: 1.1–2.4 and 23 out of the 27 field samples had LD50 significantly higher than the LS. This might suggest lower genetic variation related to resistance where selection can act. Our results suggest that deltamethrin can effectively control C. capitata in Greece and spinosad may be a valuable alternative, once registered for the control of this pest in Greece. However, continuous monitoring is important given that P450-mediated metabolic resistance has been demonstrated for C. capitata populations in the Mediterranean basin.

Thermal development of Cephalonomia tarsalis (Hymenoptera: Bethylidae) parasitoid of the saw-toothed stored product beetles of the genus Oryzaephilus sp. (Coleoptera: Sylvanidae)

The effect of temperature on the development and survival of Cephalonomia tarsalis (Ashmead) (Hymenoptera: Bethylidae), larval ectoparasitoid of beetles of Oryzaephilus sp. (Coleoptera: Silvanidae) was studied in the laboratory. Durations of the development of the egg, larva and pupa were measured in eight constant temperatures (15, 17.5, 20, 25, 30, 32.5, 35 and 37.5°C) parasitizing larvae of the saw-toothed beetle Oryzaephilus surinamensis (L.) (Coleoptera: Silvanidae). The duration of development was decreased with temperature increase within the range 17.5-32.5°C. Survival was higher when immatures were exposed to medium temperatures (20-30°C) compared with those lived in a more extreme temperature regime (<20 and >30°C). Wasps failed to complete their development at 15 and 37.5°C. Thermal parameters (upper, lower and optimum developmental threshold, thermal constant) were estimated by fitting the linear and a non-linear (Logan I) model to our data. Upper and lower developmental thresholds ranged between 35.1-37.0°C and 13.2-13.8°C, respectively. The optimum temperature for development was estimated between 33.6°C and 34.6°C. Tests for developmental rate isomorphy (DRI) showed that change in the average proportion of time spent in each developmental stage was marginally significant, proving that development of C. tarsalis is probably incompatible with DRI. However, this conclusion is questionable given that lower developmental thresholds did not differ significantly among various developmental stages (bootstrap test). Thermal constant for total development was calculated 212.4 degree-days. Our results are discussed not only on the basis of thermal biology, but also of improving the efficiency of C. tarsalis as biocontrol agent.