2,414 research outputs found
Primi studi sulla biologia e sul controllo di Cydia funebrana (Treitschke) in susineti biologici siciliani
No full textFirst studies on biology and control of Cydia funebrana (treitschke) in Sicilian organic plum orchards.
Cydia funebrana (Treitschke), considered the key pest in the Sicilian plum orchards. Few studies were carried out in
Sicily concerning C. funebrana life cycle, forecasting models and the effectiveness of some products permitted in organic
plum orchards.
In 2010 researches were carried out in three Sicilian plum orchards, two in Palermo Province (Monreale and San
Giuseppe Jato) and one in Agrigento Province (Castrofilippo), in order to monitor the population, to evaluate damage levels
caused by the plum moth and to estimate how many generations it could complete by Charmillot’s forecasting model.
In addition, in San Giuseppe Jato, the effectiveness of mineral oil and Spinosad, products permitted in organic farming,
was evaluated on three different plum cultivars, Angeleno, Friar and Stanley.
Field data showed that the plum moth completes at least three yearly generations. Moreover, clear differences have been
found among the cultivars compared in San Giuseppe Jato orchard, Angeleno being the most susceptible to the moth attack.
Local plum cultivars in Monreale were more susceptible to plum moth attack than all the other ones.
Charmillot's model about generation numbers by temperature records, provided an overestimate of the C. funebrana
generations.
The only orchard in which the infestation level was very low was that in Castrofilippo.
Field trials did not show adequate efficacy of tested products to reduce C. funebrana damages
ICP-MS Triplo Quadrupolo come tecnica analitica per la definizione dell'impronta in traccia e ultra-traccia di olio extravergine di oliva
No full textL'olio extravergine di oliva è un prodotto tipico dell'area mediterranea e la tutela della sua origine viene continuamente monitorata. In questo lavoro di ricerca è stata messa a punto la metodologia per analizzare campioni di olio extra vergine di olive con lo spettrometro di massa triplo quadrupolo, installato presso il Laboratorio Tracciabilità (FSN-SICNUC-TNMT) del Brasimone. Per individuare la metodologia di preparazione dei campioni ottimale, sono stati analizzati 24 campioni di olio d'oliva di diversa provenienza geografica (Rizzo et al., 2019), i cui risultati in ICP-MS-QQQ sono poi stati elaborati con tecniche chemiometriche per determinare l'affidabilità del metodo
Dispersal rate and parasitism by Closterocerus chamaeleon (Girault) after its release in Sicily to control Ophelimus maskelli (Ashmead) (Hymenoptera, Eulophidae)
No full textSpread of the exotic parasitoid Closterocerus chamaeleon (Girault) and its parasitism on the Eucalyptus gall wasp Ophelimus maskelli (Ashmead) (Hymenoptera, Eulophidae) were studied in Sicily after C. chamae- leon introduction in May 2006. Parasitoid spread was evaluated by sampling sites at increasing distances from the five release sites. C. chamaeleon quickly established and spread; within 5 months, it caused 62% parasitism at release sites and 38% parasitism at sites 2 km from release sites. One year after its introduc- tion (spring 2007), C. chamaeleon was detected more than 50 km distant from release sites. By winter 2007–08, the parasitoid was recovered throughout Sicily and in many surrounding islets, with parasitism rates always >65% and usually at 100%. The dispersal rate was 0.15 km/month in the 2 months after release. It increased to 0.6 km/month in the next 3 months, reaching 7.5 km/month 5–7 months after release and 20 km/month in the following 11 months, when the entire island was colonized. The pattern of spread followed the spread latency model of biological invasions; the spread latency period was very short because of the parasitoid’s biological characteristics and a favourable environment. Parasitism trends differed between suburban and afforested sites, showing a longer spread latency period in the afforested sites due to the greater extent of potentially colonisable area. The parasitoid’s use of continu- ous and long-distance dispersal mechanisms enabled it to rapidly colonize even very distant regions and enhances its effectiveness as a biological control agent
Risk assessment of non-target effects of Closterocerus chamaeleon (Girault) parasitoid of the eucalypt gall maker Ophelimus maskelli (Ashmead) (Hymenoptera, Eulophidae)
No full textThe pre-release risk assessment, a recommended practice in biological control programmes, was carried out before introducing Closterocerus chamaeleon (Girault), a eulophid parasitoid of the eucalypt gall maker Ophelimus maskelli (Ashmead) (Hymenoptera, Eulophidae), in Sicily, Italy. We evaluated its host specificity in laboratory small arena no-choice tests on six non-target hosts, using O. maskelli as a control species. The non-target species fit with at least one of the following criteria: a) common geographical origin; b) ecological or behavioural affinities with the target host; c) concealed habit of the preimaginal stages; d) taxonomic affinity; e) taxonomic affinity with hosts of congeneric parasitoids of the candidate agent; and f) presence in Italy/Sicily. Closterocerus chamaeleon performed an oviposition sequence of 10 recognisable behaviours, always leading to parasitization when exposed to O. maskelli. The same behaviour sequence was carried out on the gall maker Leptocybe invasa Fisher et La Salle, the only non-target species living on Eucalyptus, but just until Step 6, i.e. until ovipositor extraction and insertion, and never until egg-laying. All of the other non-target hosts were ignored. Furthermore, the adult parasitoid longevity was assessed in three rearing conditions: 1) no food/no parasitisation permitted; 2) food/no parasitisation permitted; and 3) food provided after parasitisation. Adult wasp longevity was significantly higher in treatment 2 (21.1 days ± 4.1 SE) than in treatment 1 (3.6 days ± 0.5 SE) or 3 (3.8 days ± 0.6 SE). Laboratory tests carried out in this study on C. chamaeleon indicated high host selection ability, later confirmed by our post-release field data
Role of spontaneous plants as a reservoir of alternative hosts for Semielacher petiolatus (Girault) and Citrostichus phyllocnistoides (Narayanan) (Hymenoptera, Eulophidae) in citrus groves –
No full textThe significance of spontaneous plants for the populations of two exotic parasitoids, Semielacher petiolatus (Girault) and Citrostichus phyllocnistoides (Narayanan), was investigated in five Sicilian citrus groves. Both species were obtained from two herbs typically growing beneath the citrus trees in the period of scarce availability of the target host, the citrus leafminer Phyllocnistis citrella Stainton. S. petiolatus was reared from Cosmopterix pulcherimella Chambers, a specific leafminer on Parietaria diffusa M. et K., while C. phyllocnistoides was reared from the same species and from a Liriomyza species associated to Mercurialis annua L. These last two host records are new and further broaden the known host range of these parasitoids, previously considered as specialists. Thus, natural vegetation diversity enhances the survival and maintenance of S. petiolatus and C. phyllocnistoides in citrus agroecosystems providing them with alternative hosts. Moreover, the incidence of parasitism of the two exotic parasitoids on non-target hosts was so low that a negative impact both on native leafminers and autochthonous parasitoid populations can be excluded
Assessment of inbreeding in hatchery samples of the red seabream Pagrus major (Perciformes: Sparidae).
No full textLa sostenibilità ambientale del settore alberghiero - Il ruolo dei piani energetici regionali
No full textIntroduzione ed acclimatamento di Closterocerus sp. in Sicilia per il controllo biologico di Ophelimus maskelli Ashmead (Hymenoptera, Eulophidae) galligeno esotico degli eucalipti.
No full textFuzzy Clustering of Histopathological Images Using Deep Learning Embeddings
No full textMetric learning is a machine learning approach that aims to learn a new distance metric by increasing (reducing) the similarity of examples belonging to the same (different) classes. The output of these approaches are embeddings, where the input data are mapped to improve a crisp or fuzzy classification process. The deep metric learning approaches regard metric learning, implemented by using deep neural networks. Such models have the advantage to discover very representative nonlinear embeddings. In this work, we propose a triplet network deep metric learning approach, based on ResNet50, to find a representative embedding for the unsupervised fuzzy classification of benign and malignant histopathological images of breast cancer tissues. Experiments computed on the BreakHis benchmark dataset, using Fuzzy C-Means Clustering, show the benefit of using very low dimensional embeddings found by the deep metric learning approach
Release and establishment of Closterocerus chamaeleon (Girault) in Sicily for Biological control of Ophelimus maskelli Ashmead (Hymenoptera, Eulophidae), exotic gall wasp on Eucalyptus trees
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