Search results for "Patologia"
showing 10 items of 930 documents
Performance of “Comune” clementine infected with citrus exocortis viroid (CEVd) on seven rootstocks
2005
Performance of “Navelina” sweet orange on five rootatocks inoculated with citrus viroids
2005
Rapid detection and discrimination of fabaviruses by flow-through hybridisation with genus- and species-specific riboprobes
2015
Viruses cause significant damage in agricultural crops worldwide. Disease management requires sensitive and specific tools for virus detection and identification. Also, detection techniques need to be rapid to keep pace with the continuous emergence of new viral diseases. The genus Fabavirus is composed of five viruses infecting many economically important crops worldwide. This research describes the development of a procedure based on flow-through hybridisation (FTH), which is faster than and as sensitive as conventional hybridisation for virus detection in tissue-prints from infected plants. Six digoxigenin-labelled RNA probes were synthesised with two levels of specificity: (a) five spec…
Diffusion of two different isolates of Citrus tristeza virus in Sicily
2007
Osservation on the rapid spread of Citrus tristeza virus severe isolate by Aphis gossypii Glover.
2007
Malattie virali emergenti del pomodoro e del melone nell’Italia meridionale: Diagnosi, diffusione e strategie di controllo.
2009
CHARACTERIZATION OF ATYPICAL CLAVIBACTER MICHIGANENSIS subsp. MICHIGANENSIS POPULATIONS IN GREENHOUSE TOMATOES IN ITALY
2012
The quarantine bacterium Clavibacter michiganensis subsp. michiganensis (Cmm) is the agent of tomato bacterial canker (TBC), one of the most destructive bacterial diseases of this crop, that causes severe economic losses worldwide. During a recent outbreak of TBC in Sicily (insular Italy), it was impossible to amplify the pat-1 gene by PCR with CMM5/CMM6 primers from affected greenhouse-grown plants from three farms, although Cmm-like colonies were consistently isolated. Microlog metabolic profile, 16S rDNA sequencing and the positive amplification of other Cmm DNA targets supported the identification of the strains as Cmm, suggesting the occurrence of a population lacking the virulence gen…
A single tube PCR assay for detecting viruses and their recombinants that cause tomato yellow leaf curl disease in Mediterranean basin
2007
Tomato yellow leaf curl disease (TYLCD) is well known in Mediterranean countries, where it has been causing severe losses in tomato crops for decades. Until recently, two viruses (with several isolates) in the genus Begomovirus, family Geminiviridae, have been associated with the epidemics: Tomato yellow leaf curl virus (TYLCV) and Tomato yellow leaf curl Sardinia virus (TYLCSV). However, recombinants between these, such as Tomato yellow leaf curl Malaga virus (TYLCMalV), are spreading, and new methods for detecting all viruses present in the region are needed. By considering all DNA sequences available of viruses causing TYLCD in the Mediterranean basin, a PCR/RFLP protocol was developed t…
Endophytic Fungi in Asymptomatic Vitis vinifera L. and their Effects on Plasmopara viticola
2016
During a multi-year study on the life cycle of Plasmopara viticola to assess the typical epidemiology of downy mildew on grapevine (Vitis vinifera) in west Sicily (Italy), several leaves on which the downy mildew had collapsed were found and observed in a vineyard located in Marsala, in Trapani Province. An antagonistic fungus was isolated from these leaves and named A20; through its morphology, it was identified as a hyphomycete belonging to the genus Acremonium. The antagonism of A20 against the asexual and sexual spores of P. viticola, as well as endophytic nature of the genus Acremonium in V. vinifera were confirmed by further studies which have been carried out over the past decade. In…
H&E Multi-Laboratory Staining Variance Exploration with Machine Learning
2022
In diagnostic histopathology, hematoxylin and eosin (H&E) staining is a critical process that highlights salient histological features. Staining results vary between laboratories regardless of the histopathological task, although the method does not change. This variance can impair the accuracy of algorithms and histopathologists’ time-to-insight. Investigating this variance can help calibrate stain normalization tasks to reverse this negative potential. With machine learning, this study evaluated the staining variance between different laboratories on three tissue types. We received H&E-stained slides from 66 different laboratories. Each slide contained kidney, skin, and colon tissue sampl…