Search results for "IDENTIFICATION"

showing 10 items of 1600 documents

A multivariate morphometric analysis of diagnostic traits in southern Italy and Sicily pubescent oaks

2020

AbstractSpecies identification within the species complex ofQ. pubescensis a well-known taxonomic challenge among European botanists. Some of the specific pubescent oak binomials currently accepted in various European floras and checklists were originally described in Sicily and southern Calabria. As a consequence, several species belonging to the pubescent oaks group (Q. pubescens,Q. amplifolia,Q. congesta,Q. dalechampii,Q. leptobalanaandQ. virgiliana) are reported in the taxonomic and phytosociological literature. To verify whether it was possible to associate a diverse set of morphological characters with each of these different taxa, thirteen natural populations of pubescent oak from Si…

0106 biological sciencesMultivariate statisticsSpecies complexdiagnostic morphological charactersdiagnostic morphological characters; nomenclature; quercus; southern Europe; taxonomyPaleontologyZoologyPlant ScienceBiology010603 evolutionary biology01 natural sciencesPlant ecologysouthern EuropetaxonomyTaxonDiagnostic morphological characters Nomenclature Quercus Southern Europe TaxonomyBotánicaTaxonomy (biology)Identification (biology)nomenclaturequercusNomenclature010606 plant biology & botany
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First record ofTetranychus ludeniZacher (Acariformes: Tetranychidae) in Italy

2018

Tetranychus ludeni Zacher is reported here for the first time in Italy. It was found on some cultivated and spontaneous plants, often associated with Tetranychus urticae Koch. Four phytoseiid mites, widely distributed in the Mediterranean countries, Phytoseiulus persimilis Athias-Henriot, Iphiseius degenerans Berlese, Typhlodromus (Anthoseius) kerkirae Swirski and Ragusa, and Typhlodromus (Anthoseius) transvaalensis Nesbitt, were found associated with T. ludeni In Sicily. The morphological characters for the identification of the four Italian Tetranychus species are also reported.

0106 biological sciencesPhytoseiidaebiology010607 zoologyTetranychus ludenibiology.organism_classificationAcariformes01 natural sciencesTetranychus ludeni010602 entomologyHorticultureSettore AGR/11 - Entomologia Generale E ApplicataItalyInsect SciencePhytoseiidaeTetranychus urticaeSicilyidentification charactersInternational Journal of Acarology
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Pistachio fruits rust caused by Tuberculina persicina (Ditmar) Sacc., anamorph of Helicobasidium purpureum (Tul.) Pat.

2020

In the study, we found rust in pistachio fruits and verified that it was caused by Tuberculina persicina, anamorph of Helicobasidium purpureum, through isolation and culture, microscopic observation, molecular identification and pathogenicity tests of Koch’s postulates. To our knowledge, this is the first report of rust fruit in pistachio caused by Tuberculina persicina.

0106 biological sciencesPistacia verafood and beveragesSettore AGR/12 - Patologia VegetalePlant ScienceHorticultureBiologyTuberculina persicinabiology.organism_classificationPathogenicity01 natural sciencesRusthumanitiesMicroscopic observation010602 entomologyHorticultureFruit rustTuberculina persicinaRhizoctonia crocorumHelicobasidium purpureumAgronomy and Crop ScienceRhizoctonia crocorumHelicobasidium purpureum010606 plant biology & botanyMolecular identification
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S-nitrosylation: An emerging post-translational protein modification in plants

2011

International audience; Increasing evidences support the assumption that nitric oxide (NO) acts as a physiological mediator in plants. Understanding its pleiotropic effects requires a deep analysis of the molecular mechanisms underlying its mode of action. In the recent years, efforts have been made in the identification of plant proteins modified by NO at the post-translational level, notably by S-nitrosylation. This reversible process involves the formation of a covalent bond between NO and reactive cysteine residues. This research has now born fruits and numerous proteins regulated by S-nitrosylation have been identified and characterized. This review describes the basic principle of S-n…

0106 biological sciencesPlant ScienceBiology01 natural sciences03 medical and health sciencesS-nitrosothiolMediator[ SDV.SA.AGRO ] Life Sciences [q-bio]/Agricultural sciences/AgronomyGenetics[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyMode of action030304 developmental biologyPlant Proteins0303 health sciencesPost-translational protein modificationsNitric oxideGeneral MedicineS-NitrosylationPlantPlantsS-nitrosylation[SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breedingBiochemistryCovalent bondIdentification (biology)Post-translational protein modificationAgronomy and Crop ScienceProtein Processing Post-TranslationalFunction (biology)010606 plant biology & botanyCysteine
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Plant proteome analysis

2004

Proteome analysis is becoming a powerful tool in the functional characterization of plants. Due to the availability of vast nucleotide sequence information and based on the progress achieved in sensitive and rapid protein identification by mass spectrometry, proteome approaches open up new perspectives to analyze the complex functions of model plants and crop species at different levels. In this review, an overview is given on proteome studies performed to analyze whole plants or specific tissues with particular emphasis on important physiological processes such as germination. The chapter on subcellular proteome analysis of plants focuses on the progress achieved for plastids and mitochond…

0106 biological sciencesProteomeGerminationComputational biologyBiologyProteomicsCrop species01 natural sciencesBiochemistryMass Spectrometry03 medical and health sciencesBotany[SDV.BBM] Life Sciences [q-bio]/Biochemistry Molecular BiologyElectrophoresis Gel Two-Dimensional[SDV.BBM]Life Sciences [q-bio]/Biochemistry Molecular BiologyPlastidSymbiosisMolecular BiologyComputingMilieux_MISCELLANEOUS030304 developmental biologyPlant Proteins2. Zero hungerTree physiology0303 health sciencesfungifood and beveragesPlantsProteomeProtein identification010606 plant biology & botany
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A molecular-based identification resource for the arthropods of Finland

2022

Publisher Copyright: © 2021 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd. To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the…

0106 biological sciencesResource (biology)DNA barcodesspecies identificationBiodiversityreference libraryarthropodsBiologyBarcodeProbabilistic taxonomic assignment010603 evolutionary biology01 natural scienceslaw.inventionCoiCOI03 medical and health sciencessymbols.namesakeProtaxlawprobabilistic taxonomic assignmentniveljalkaisetGeneticsAnimalsDNA Barcoding TaxonomicSpecies identificationArthropodsSpecies identificationFinlandEcology Evolution Behavior and SystematicsGene Library030304 developmental biology0303 health sciencesDNA-analyysiPROTAXsystematiikka (biologia)Linnaean taxonomyReference libraryBiodiversityGeographyEvolutionary biologyDna barcodes1181 Ecology evolutionary biologysymbolsidentificationlajinmääritysIdentification (biology)Biotechnology
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The irreducible uncertainty of the demography–environment interaction in ecology

2002

The interpretation of ecological data has been greatly improved by bridging the gap between ecological and statistical models. The major challenge is to separate competing hypotheses concerning demography, or other ecological relationships, and environmental variability (noise). In this paper we demonstrate that this may be an arduous, if not impossible, task. It is the lack of adequate ecological theory, rather than statistical sophistication, which leads to this problem. A reconstruction of underlying ecological processes can only be done if we are certain of either the demographic or the noise model, which is something that can only be achieved by an improved theory of stochastic ecologi…

0106 biological sciencesTime Factorsmedia_common.quotation_subjectPopulation DynamicsBiologyEcological systems theoryModels Biological010603 evolutionary biology01 natural sciencesGeneral Biochemistry Genetics and Molecular BiologyEcological relationshipEconometricsAnimalsNatural ecosystemEnvironmental noiseSophisticationEcosystemGeneral Environmental Sciencemedia_commonStochastic ProcessesModels StatisticalGeneral Immunology and MicrobiologyEcologyStochastic process010604 marine biology & hydrobiologySystem identificationStatistical modelGeneral MedicineBiological Sciences13. Climate actionGeneral Agricultural and Biological SciencesResearch ArticleDemographyProceedings of the Royal Society of London. Series B: Biological Sciences
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Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of “Flavescence Dorée”

2018

Flavescence Doree (FD) is a contagious and incurable grapevine disease that can be perceived on leaves. In order to contain its spread, the regulations obligate winegrowers to control each plant and to remove the suspected ones. Nevertheless, this monitoring is performed during the harvest and mobilizes many people during a strategic period for viticulture. To solve this problem, we aim to develop a Multi-Spectral (MS) imaging device ensuring an automated grapevine disease detection solution. If embedded on a UAV, the tool can provide disease outbreaks locations in a geographical information system allowing localized and direct treatment of infected vines. The high-resolution MS camera aims…

0106 biological sciences[SDE] Environmental SciencesDisease detectionComputer science[SDV]Life Sciences [q-bio]Multispectral imageradiometric/geometric correctionsFeature selectionMulti spectral01 natural sciencesfeature selection[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SDV.BV] Life Sciences [q-bio]/Vegetal Biologytexture analysisProtocol (science)Artificial neural networkbusiness.industrymultispectral sensorOutbreakPattern recognition04 agricultural and veterinary sciencesFlavescence Dorée3. Good health[SDV] Life Sciences [q-bio]Identification (information)classification[SDE]Environmental Sciences040103 agronomy & agriculture0401 agriculture forestry and fisheriesFlavescence doréeArtificial intelligencebusiness010606 plant biology & botany
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Acoustic communication in the Kittiwake Rissa tridactyla: potential cues for sexual and individual signatures in long calls

2007

International audience; Sex and individual recognition systems vary among species and can have various functions in different contexts. In order to determine the basis of identification by voice in the Kittiwake (Rissa tridactyla), the greeting calls of 32 individuals (18 males and 14 females) were recorded in May–June 2004 on the Kittiwake colony of Hornøya island (Barents sea) and analysed. On the basis of coefficient of variation calculations and discriminant analyses, we show (1) that calls are sexually dimorphic and that the dimorphism is mainly based on the value of the fundamental frequency, and (2) that calls are individually distinct, individuality being due to a complex of tempora…

0106 biological sciences[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]Rissa tridactylabiology[SDV.OT] Life Sciences [q-bio]/Other [q-bio.OT]Ecology[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiology[SCCO.NEUR]Cognitive science/Neuroscience05 social sciencesContext (language use)biology.organism_classification010603 evolutionary biology01 natural sciencesSexual dimorphismHabitatMating callKittiwake0501 psychology and cognitive sciencesAnimal communicationIdentification (biology)050102 behavioral science & comparative psychology[ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT]General Agricultural and Biological SciencesComputingMilieux_MISCELLANEOUSPolar Biology
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Pseudomonas salomonii sp. nov., pathogenic on garlic, and Pseudomonas palleroniara sp. nov., isolated from rice

2002

International audience; A total of 26 strains, including 15 strains isolated from garlic plants with the typical symptoms of 'Café au lait' disease and 11 strains isolated from diseased or healthy rice seeds and sheaths infested by Pseudomonas fuscovaginae, were compared with 70 type or reference strains of oxidase-positive pathogenic or non-pathogenic fluorescent pseudomonads. The strains were characterized by using a polyphasic taxonomic approach. Numerical taxonomy of phenotypic characteristics showed that the garlic and rice strains were related to each other. However, they clustered into separate phenons, distinct from those of the other strains tested, and were different in several nu…

0106 biological sciences[SDV.SA]Life Sciences [q-bio]/Agricultural sciencesIdentificationADNPhénotype01 natural sciencesphenotypic characteristicsPseudomonas fuscovaginaeRNA Ribosomal 16SPhylogeny2. Zero hungerBase Composition0303 health sciencesbiologyPhylogenetic treeDNA–DNA hybridizationfood and beveragesGeneral MedicinePseudomonas palleronianaRNA BacterialPhenotypehttp://aims.fao.org/aos/agrovoc/c_5435Pseudomonas palleronianaPseudomonas salomoniiAllium sativumhttp://aims.fao.org/aos/agrovoc/c_290DNA Bacterialhttp://aims.fao.org/aos/agrovoc/c_27578Pseudomonas salomoniiPhenotypic characteristicMolecular Sequence DataDNA Ribosomal010603 evolutionary biologyMicrobiologyMicrobiologyNumerical taxonomy03 medical and health sciencesTerminology as TopicPseudomonaspolyphasic taxonomyGarlicGeneEcology Evolution Behavior and SystematicsH20 - Maladies des plantes030304 developmental biologyDNA-DNA hybridizationHybridation moléculaireSettore AGR/12 - Patologia VegetaleOryzaTaxonomie16S ribosomal RNAbiology.organism_classificationhttp://aims.fao.org/aos/agrovoc/c_3791http://aims.fao.org/aos/agrovoc/c_6304http://aims.fao.org/aos/agrovoc/c_5776Genes Bacterialhttp://aims.fao.org/aos/agrovoc/c_2347http://aims.fao.org/aos/agrovoc/c_7631
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