Search results for "Non target"

showing 6 items of 16 documents

SICILY AS THEORETICAL MODEL TO STUDY THE POTENTIAL IMPACT OF GENETICALLY MODIFIED PLANTS IN A HOTSPOTS OF BIODIVERSITY

2015

In Europe, especially in Italy, different considerations are necessary when potential GMPs are to be grown. In particular high biodiversity areas such as Sicily should have a more detail plans of potential benefits and risks assuring the conservation of biodiversity and endemic species. Sicily is one of the most relevant biodiversity hotspots in the Mediterranean area, with a vascular flora of 3252 species and 321 endemic taxa. Considering the latest IUCN categories and criteria, 401 taxa (12.4% of Sicilian flora) are under threat (categories “CR”, “EN”, “VU”), and 220 more taxa (6.8%) are “Near Threatened”. Sicily is also known to have a rich butterfly and coleopteran fauna including endem…

Settore AGR/11 - Entomologia Generale E ApplicataSettore BIO/03 - Botanica Ambientale E ApplicataGENETICALLY MODIFIED PLANTS NON TARGET ORGANISMS BIODIVERSITY CANOLA OILSEEDRAPE NATURAL AREAS BUTTERFLIES
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Pesticides: Chemical and Biological.

2013

There is a requirement by World Health Organization (WHO), Food and Agriculture Organization (FAO) and other International Organizations to develop environmentally sustainable systems for controlling pests that are less reliant on chemical pesticides as the primary management tool. However biological control alone cannot at the moment solve all pest problems and must be considered instrument to be used in combination with other methods. Compatibility of chemical pesticides (CP) and biological pesticides (BP) is one of the key for the implementation of Integrated Pest Management (IPM) programs. Testing the compatibility of CP and BP is necessary if these two agents are to be applied together…

Settore AGR/11 - Entomologia Generale E ApplicataSynergism Selectivity Integrate Pest Management (IPM) Environmental Risk Assessment (ERA) Ecotoxicology Non Target Effects Biological Control Tandem Use
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Organismi geneticamente modificati (OGM): quali rischi per la biodiversità zoologica?

2010

Diversi OGM possono potenzialmente entrare nel mercato e in generale nell’ambiente italiano. In particolare i candidati più prossimi sono le piante geneticamente modificate (PGM) tolleranti agli erbicidi e resistenti agli insetti, ma sono in corso di valutazione anche insetti e pesci transgenici per i quali l’Autorita’ Europea per la Sicurezza Alimentare (EFSA) ha già dato mandato per una revisione scientifica dello stato dell’arte e per lo studio della valutazione del rischio (EFSA, 2008 e 2009). Accanto ai benefici dello sviluppo di questi organismi è importante ricordare alcuni rischi ambientali collegati proprio al loro sviluppo: trasmissione del gene modificato ad altre piante attraver…

Settore AGR/11 - Entomologia Generale E ApplicataValutazione d'impatto ambientele Piante geneticamente modificate organismi non target piante ad azione insettticida biodiversità siciliana
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Response to Kruse-Plass et al. (2017) regarding the risk to non-target lepidopteran larvae exposed to pollen from one or more of three Bt maize event…

2017

We respond to the paper of Kruse-Plass et al. (Environ Sci Eur 29:12, 2017), published in this journal, regarding the risk to non-target lepidopteran larvae exposed to pollen from one or more of three Bt maize events (MON810, Bt11 and 1507). We emphasise that what is important for environmental risk assessment is not the number of pollen grains per se, but the degree of exposure of a NT lepidopteran larva to Bt protein contained in maize pollen. The main text of this response deals with general issues which Kruse-Plass et al. have failed to understand; more detailed refutations of each of their claims are given in Additional file 1. Valid environmental risk assessment requires direct measur…

Settore BIO/07 - Ecologia0301 basic medicineNon-target organismSettore BIO/05 - Zoologia010501 environmental sciencesBiologymedicine.disease_cause01 natural sciencesExposureToxicology03 medical and health sciencesNon targetPollenmedicineHost plantsPollen depositionHost plantlcsh:Environmental sciencesRisk management0105 earth and related environmental sciencesEnvironmental risk assessmentGenetically modified organisms Environmental risk assessment Exposure Host plants Non-targetorganisms Lepidoptera Pollen depositionlcsh:GE1-350Environmental risk assessment; Exposure; Genetically modified organisms; Host plants; Lepidoptera; Non-target organisms; Pollen deposition; PollutionLarvabusiness.industryNon-targetorganismslcsh:Environmental lawEnvironmental risk assessmentPollutionLepidopteralcsh:K3581-3598Settore AGR/11 - Entomologia Generale E Applicata030104 developmental biologyGenetically modified organismsNon-target organismsCommentaryGenetically modified organismHost plantsbusinessEnvironmental Sciences Europe
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EFFECT OF Bacillus thuringiensis ON RESPIRATION RATES OF MARINE INTERTIDAL MYTILASTER INTERTIDAL, MYTILASTER MINIMUS (MOLLUSCA, BIVALVIA)

2010

Increasing body of research deals with the impact of agricultural products marine environment. Indeed it is expected to detect insecticides, including the ones for biocontrol, in nearshore marine waters and thus predicting where, when and with what magnitude these impacts are most likely to occur is imperative if we are effectively interested in understanding the role of biological products as Bacillus thuringiensis (Bt) on marine biodiversity. Bivalves are important elements of marine biodiversity and very often they play a role of ecosystem engineers in that many other species structurally depend on their presence. Oxygen consumption through respiration in these organisms varies with natu…

Settore BIO/07 - EcologiaSettore AGR/11 - Entomologia Generale E ApplicataBt non target effects biopesticidesSettore BIO/05 - Zoologia
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High precision mass measurements for wine metabolomics

2014

An overview of the critical steps for the non-targeted Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS) analysis of wine chemistry is given, ranging from the study design, data preprocessing and statistical analyses, to markers identification. UPLC-Q-ToF-MS data was enhanced by the alignment of exact mass data from FTICR-MS, and marker peaks were identified using UPLC-Q-ToF-MS(2). In combination with multivariate statistical tools and the annotation of peaks with metabolites from relevant databases, this analytical process provides a fine description of the chemical complexity of wines, as exemplified in the case of red (P…

Winemultivariate data analysisFTICR-MSUPLC-Q-ToF-MSGeneral Chemistrycomputer.software_genreMass spectrometryMasslcsh:ChemistryMetabolomicslcsh:QD1-999non-targeted metabolomicsNon targeted metabolomicsStatistical analysesMS/MSFticr-ms ; Ms/ms ; Uplc-q-tof-ms ; Multivariate Data Analysis ; Non-targeted Metabolomics ; WineWine chemistryData miningOriginal Research ArticleMultivariate statisticalwineBiological systemcomputerMathematicsNutritionFrontiers in Chemistry
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