Search results for " Insecta"

showing 6 items of 6 documents

Identification of volatile synomones, induced by Nezara viridula feeding and oviposition on bean spp., that attract the egg parasitoid Trissolcus bas…

2004

Bean plants ( Vicia faba L. and Phaseolus vulgaris L.) damaged by feeding activity of Nezara viridula (L.) ( Heteroptera: Pentatomidae), and onto which an egg mass had been laid, produced volatiles that attracted the egg parasitoid Trissolcus basalis (Wollaston) (Hymenoptera: Scelionidae). Extracts of volatiles of broad bean and French bean plants induced by adults of N. viridula as a result of their feeding activity, oviposition activity, and feeding and oviposition activity combined were analyzed by gas chromatography-mass spectrometry (GC-MS), and tested in Y-tube olfactometer bioassays as attractants for T. basalis females. In extracts from undamaged leguminous plants, green-leaf volati…

Chromatography GasEggsOvipositionHymenopteraBiochemistryMass SpectrometryParasitoidHost-Parasite InteractionsHeteropteraBotanyAnimalsEcology Evolution Behavior and SystematicsEcosystemScelionidaePolycyclic SesquiterpenesbiologyPlant ExtractsTerpenesLegume Insecta Heteroptera Pentatomidae Scelionidae egg parasitoid oviposition-induced synomone terpenoid (E)-β-caryophyllenefungifood and beveragesGeneral MedicineFeeding BehaviorPentatomidaebiology.organism_classificationHymenopteraSettore AGR/11 - Entomologia Generale E ApplicataOlfactometerNezara viridulaOdorantsBiological AssayFemalePEST analysisSoybeansPhaseolusVolatilizationSesquiterpenes
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Modeling the insect mushroom bodies: application to a delayed match-to-sample task.

2013

Despite their small brains, insects show advanced capabilities in learning and task solving. Flies, honeybees and ants are becoming a reference point in neuroscience and a main source of inspiration for autonomous robot design issues and control algorithms. In particular, honeybees demonstrate to be able to autonomously abstract complex associations and apply them in tasks involving different sensory modalities within the insect brain. Mushroom Bodies (MBs) are worthy of primary attention for understanding memory and learning functions in insects. In fact, even if their main role regards olfactory conditioning, they are involved in many behavioral achievements and learning capabilities, as …

Arthropod AntennaeInsectaComputer scienceCognitive Neurosciencemedia_common.quotation_subjectModels NeurologicalAction PotentialsInsectGrasshoppersOlfactory Receptor NeuronsTask (project management)03 medical and health sciences0302 clinical medicineStimulus modalityArtificial IntelligenceMemorymedicineLearningAnimalsComputer SimulationDrosophilaMushroom BodiesProblem Solving030304 developmental biologymedia_commonMatch-to-sample taskSpiking neural networkMotor Neurons0303 health sciencesArtificial neural networkbiologybusiness.industryInsect brain; Insect mushroom bodies; Learning; Neural model; Neuroscience; Spiking neurons; Action Potentials; Animals; Arthropod Antennae; Bees; Computer Simulation; Drosophila; Grasshoppers; Insecta; Memory; Motor Neurons; Mushroom Bodies; Nerve Net; Olfactory Receptor Neurons; Problem Solving; Artificial Intelligence; Models Neurological; Neural Networks ComputerBeesAutonomous robotbiology.organism_classificationInsect mushroom bodiesmedicine.anatomical_structureInsect brain; Insect mushroom bodies; LearningMushroom bodiesDrosophilaArtificial intelligenceNeural Networks ComputerNerve NetbusinessInsect brain030217 neurology & neurosurgeryNeuroanatomyNeural networks : the official journal of the International Neural Network Society
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Modelling the insect Mushroom Bodies: Application to sequence learning

2015

Learning and reproducing temporal sequences is a fundamental ability used by living beings to adapt behaviour repertoire to environmental constraints. This paper is focused on the description of a model based on spiking neurons, able to learn and autonomously generate a sequence of events. The neural architecture is inspired by the insect Mushroom Bodies (MBs) that are a crucial centre for multimodal sensory integration and behaviour modulation. The sequence learning capability coexists, within the insect brain computational model, with all the other features already addressed like attention, expectation, learning classification and others. This is a clear example that a unique neural struc…

InsectaComputer scienceCognitive NeuroscienceModels NeurologicalContext; Insect brain; Insect mushroom bodies; Learning; Neural model; Neuroscience; Spiking neurons; Algorithms; Animals; Attention; Computer Simulation; Insecta; Mushroom Bodies; Robotics; Serial Learning; Models NeurologicalContext (language use)Sensory systemSerial LearningInsect brain; Insect mushroom bodies; LearningArtificial IntelligenceLearningAnimalsAttentionComputer SimulationMushroom BodiesStructure (mathematical logic)Sequencebusiness.industryRoboticsInsect mushroom bodiesMushroom bodiesSequence learningArtificial intelligencebusinessInsect brainAlgorithmsNeural Networks
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Scelionidae (Hymenoptera: Platygastroidea) recorded in Italy and their known hosts.

2020

Scelionidi (Hymenoptera: Platygastroidea) segnalati per l’Italia e loro ospiti noti. Il seguente lavoro propone una revisione della checklist italiana della famiglia Scelionidae dopo quella proposta da Bin et al. (1995). Viene inoltre fornito l’elenco delle specie di ospiti di Insecta e Arachnida individuate nel lavoro di raccolta bibliografica. In totale sono riportati 38 generi di scelionidi per l’Italia con 181 specie di cui 58 riportano anche gli ospiti appartenenti agli ordini: Insecta: Mantodea, Orthoptera, Embioptera, Hemiptera, Coleoptera, Neuroptera, Diptera, Lepidoptera; Arachnida: Araneae Dysderiidae, Lycosidae. Grazie all'intenso lavoro di ricerca del professor Giovanni Mineo, r…

Settore AGR/11 - Entomologia Generale E Applicatascelionidi parassitoidi oofagi checklist insetti ragniScelionid egg parasitoid wasps checklist Insecta Araneae.
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REVISIONE PRELIMINARE DELLA BIODIVERSITÀ ENTOMOLOGICA DELL’ISOLA DI LAMPEDUSA (SICILIA - ITALIA) PRELIMINARY REVISION OF ENTOMOLOGICAL BIODIVERSITY I…

2013

Lampedusa è un'isola appartenente all'arcipelago delle Pelagie, che è particolarmente interessante per l'aspetto faunistico, in quanto crocevia tra la fauna Europea e Africana. Gli insetti, per la loro abbondanza e diversità in natura, rappresentano una classe nel regno animale particolarmente utile per studiare la biodiversità e i fenomeni di migrazione o emigrazione delle specie, e per valutare inoltre eventuali cambiamenti climatici. Allo stato attuale i dati sull'entomofauna non sono organici e sono riportati in modo spesso frammentario, e la check-list più completa disponibile è datata 1995, quasi venti anni fa. Lo scopo di questo lavoro è stato quello di impiegare nuove tecniche di ri…

Settore AGR/11 - Entomologia Generale E ApplicataSettore BIO/05 - Zoologiasmall islands biodiversity insecta check-list endemic species migration routesPiccole isole biodiversità insecta check-list specie endemiche rotte di migrazione
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Comparison of quantitative Holocene temperature reconstructions using multiple proxies from a northern boreal lake

2017

Four biotic proxies (plant macrofossils, pollen, chironomids and diatoms) are employed to quantitatively reconstruct variations in mean July air temperatures ( Tjul) at Lake Loitsana (northern Finland) during the Holocene. The aim is to evaluate the robustness and biases in these temperature reconstructions and to compare the timing of highest Tjul in the individual reconstructions. The reconstructed Tjul values are evaluated in relation to local-scale/site-specific processes associated with the Holocene lake development at Loitsana as these factors have been shown to significantly influence the fossil assemblages found in the Lake Loitsana sediments. While pollen-based temperatures follow…

1171 GeosciencesInsolation010506 paleontologyArcheology010504 meteorology & atmospheric sciencesecological driversCLIMATE RECONSTRUCTIONSta1171CENTRAL NORWAYchironomidsWetlandEASTERN-EUROPEAN RUSSIANorthern finlandmedicine.disease_cause01 natural sciencesdiatomsPollenpiilevätmedicineTREE-LINE AREAsurviaissääsketplant macrofossils1172 Environmental sciencesHolocene0105 earth and related environmental sciencesEarth-Surface ProcessesGlobal and Planetary Changegeographygeography.geographical_feature_categoryEcologySUB-ARCTIC FINLANDPaleontologyMacrofossilFINNISH LAPLANDpaleolimnologiaBoreal13. Climate actionpollenClimatologyta1181paleoklimatologiaPALEOCLIMATE RECONSTRUCTIONSCHIRONOMIDAE INSECTAnorthern boreal FennoscandiaPhysical geographymakrofossiilitsiitepölyanalyysiGeologyThe Holocene
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