Search results for "29"

showing 10 items of 3100 documents

Paysandisia archon: Taxonomy, distribution, biology and life cycle

2017

The taxonomic position of the family Castniidae within the order Lepidoptera has changed over time. Initially, it was classified in the superfamily Sesioidea, and then it was grouped in a large assemblage including the Cossoidea, Sesioidea, and Zygaenoidea. Recent studies have included it in the superfamily Cossoidea. In Europe, the palm borer moth (PBM) Paysandisia archon is the only species of the Castniidae. This moth, native to South America (Argentina and Uruguay), was first reported in Europe (France and Spain) in 2001, but it is believed to have been introduced before 1995 on palm trees imported from Argentina. Since then, the moth has been reported in Belgium, Bulgaria, Cyprus Islan…

0106 biological sciencesIdentificationPlante hôteDistribution géographiquePaysandisia archonCossoideahttp://aims.fao.org/aos/agrovoc/c_25231http://aims.fao.org/aos/agrovoc/c_15807SesioideaIntroduced speciesArecaceaeArecaceaeCastniidae010603 evolutionary biology01 natural scienceshttp://aims.fao.org/aos/agrovoc/c_8812Biologie animalehttp://aims.fao.org/aos/agrovoc/c_5083http://aims.fao.org/aos/agrovoc/c_4317http://aims.fao.org/aos/agrovoc/c_4698Palm borer Phoenix morphologyhttp://aims.fao.org/aos/agrovoc/c_11621Physiologie du développementbiologyEcologyTaxonomiebiology.organism_classificationH10 - Ravageurs des plantesPupaLepidoptera010602 entomologyhttp://aims.fao.org/aos/agrovoc/c_3791Settore AGR/11 - Entomologia Generale E ApplicataCycle de développementhttp://aims.fao.org/aos/agrovoc/c_29176http://aims.fao.org/aos/agrovoc/c_4268Zygaenoideahttp://aims.fao.org/aos/agrovoc/c_7631
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Bayesian spatio-temporal approach to identifying fish nurseries by validating persistence areas

2015

Spatial and temporal closures of fish nursery areas to fishing have recently been recognized as useful tools for efficient fisheries management, as they preserve the reproductive potential of populations and increase the recruitment of target species. In order to identify and locate potential nursery areas for spatio-temporal closures, a solid understanding of species− environment relationships is needed, as well as spatial identification of fish nurseries through the application of robust analyses. One way to achieve knowledge of fish nurseries is to analyse the persistence of recruitment hotspots. In this study, we propose the comparison of different spatiotemporal model structures to ass…

0106 biological sciencesMediterranean climatehttp://aims.fao.org/aos/agrovoc/c_28840[SDV]Life Sciences [q-bio]01 natural sciencesMediterranean seaAbundance (ecology)Ecosystem approachEcologybiologyEcologyU10 - Informatique mathématiques et statistiquesinteraction élevage environnementmodèle de distributionMerluccius merlucciushttp://aims.fao.org/aos/agrovoc/c_41529zone de pêcheNursery areasSpatio temporal analysisanalyse bayésienneGeographyGestion des pêchesgestion spatialealevinageFisheries managementFishinganalyse spatiotemporellegestion des ressources naturellesAquatic Science010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026étude comparativeHakeMerluccius merluccius14. Life underwaterhttp://aims.fao.org/aos/agrovoc/c_4699Ecology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_12399Distribution patternapproche ecosystémiqueÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologybiology.organism_classificationBiologie marineFisheryThéorie bayésiennehttp://aims.fao.org/aos/agrovoc/c_9000115M40 - Écologie aquatiqueBayesian hierarchical modellingMarine protected areaSpatial fisheries managementNursery areas;Distribution pattern;Ecosystem approach;Spatial fisheries management;Spatio temporal analysis;Bayesian hierarchical modelling;Merluccius merluccius
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Bayesian spatio-temporal discard model in a demersal trawl fishery

2014

Spatial management of discards has recently been proposed as a useful tool for the protection of juveniles, by reducing discard rates and can be used as a buffer against management errors and recruitment failure. In this study Bayesian hierarchical spatial models have been used to analyze about 440 trawl fishing operations of two different metiers, sampled between 2009 and 2012, in order to improve our understanding of factors that influence the quantity of discards and to identify their spatio-temporal distribution in the study area. Our analysis showed that the relative importance of each variable was different for each metier, with a few similarities. In particular, the random vessel eff…

0106 biological sciencesPerteSpatial correlationhttp://aims.fao.org/aos/agrovoc/c_28840Computer scienceProcess (engineering)Bayesian probabilitySede Central IEOAquatic ScienceOceanography01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_2173Abundance (ecology)Component (UML)http://aims.fao.org/aos/agrovoc/c_4438Pesquerías14. Life underwaterM11 - Production de la pêchehttp://aims.fao.org/aos/agrovoc/c_7881Ecology Evolution Behavior and SystematicsChalutageU10 - Informatique mathématiques et statistiques010604 marine biology & hydrobiologyhttp://aims.fao.org/aos/agrovoc/c_2801204 agricultural and veterinary sciencesDiscardsFisheryRessource marineVariable (computer science)Théorie bayésienneM40 - Écologie aquatique040102 fisheries0401 agriculture forestry and fisherieshttp://aims.fao.org/aos/agrovoc/c_2942Fisheries managementPêche démersale
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Guidance for the risk assessment of the presence at low level of genetically modified plant material in imported food and feed under Regulation (EC) …

2017

Abstract This document provides guidance for the risk assessment under Regulation (EC) No 1829/2003 of the unintended, adventitious or technically unavoidable presence in food and feed of low level of genetically modified plant material intended for markets other than in the European Union. In this context, the presence at low level is defined to be maximum 0.9% of genetically modified plant material per ingredient. This guidance is intended to assist applicants by indicating which scientific requirements of Annex II of Regulation (EU) No 503/2013 are considered necessary for the risk assessment of the presence at low levels of genetically modified plant material in food and feed.

0106 biological sciencesVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]Context (language use)Plant ScienceGenetically modified crops010501 environmental sciences01 natural sciencesMicrobiologyRegulation (EU) No 503/2013Ingredientpresence at low level[SDV.IDA]Life Sciences [q-bio]/Food engineeringmedia_common.cataloged_instance[SDV.BV]Life Sciences [q-bio]/Vegetal BiologySettore AGR/18 - Nutrizione E Alimentazione Animale[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringEuropean unionfood/feed0105 earth and related environmental sciencesmedia_commonguidance;GMO;presence at low level;risk assessment;Regulation (EC) No 1829/2003;Regulation (EU) No 503/2013;food/feedbusiness.industryGMORegulation (EC) No 1829/2003risk assessmentguidance; GMO; presence at low level; risk assessment; Regulation (EC) No 1829/2003; Regulation (EU) No 503/2013; food/feed10079 Institute of Veterinary Pharmacology and ToxicologyFood safetyBiotechnologyRegulation (EU) No 503/2013Scientific OpinionSettore AGR/11 - Entomologia Generale E Applicata570 Life sciences; biologyAnimal Science and ZoologyParasitologyRisk assessmentbusinessguidanceRegulation (EC) No 1829/2003010606 plant biology & botanyFood Science
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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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Vegetation structure and greenness in Central Africa from Modis multi-temporal data.

2013

African forests within the Congo Basin are generally mapped at regional scale as broad-leaved evergreen forests, with a main distinction between terra-firme and swamp forests types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organisation and theirs relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28568Time Factors010504 meteorology & atmospheric sciencesDatabases FactualRainEcological Parameter Monitoringhttp://aims.fao.org/aos/agrovoc/c_900018001 natural sciencesTrees[ SDE ] Environmental Sciencesremote sensinghttp://aims.fao.org/aos/agrovoc/c_3062K01 - Foresterie - Considérations généralesDynamique des populationsForêt tropicale humidehttp://aims.fao.org/aos/agrovoc/c_6498http://aims.fao.org/aos/agrovoc/c_29008geography.geographical_feature_categoryCentral AfricaEcologyInventaire forestierVegetationArticlesClassificationSpatial heterogeneity[ SDE.MCG ] Environmental Sciences/Global ChangesDeciduoushttp://aims.fao.org/aos/agrovoc/c_7976CongoP31 - Levés et cartographie des solsForêt[SDE]Environmental SciencesSeasonshttp://aims.fao.org/aos/agrovoc/c_1432General Agricultural and Biological Scienceshttp://aims.fao.org/aos/agrovoc/c_34911Research ArticleF40 - Écologie végétaleTélédétectionClimate Change[SDE.MCG]Environmental Sciences/Global ChangesSpectroscopie infrarougeContext (language use)69Typologie010603 evolutionary biologySwampGeneral Biochemistry Genetics and Molecular BiologyCarbon Cycle[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentHumansAfrica Centralhttp://aims.fao.org/aos/agrovoc/c_1666http://aims.fao.org/aos/agrovoc/c_1344http://aims.fao.org/aos/agrovoc/c_8176[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmenthttp://aims.fao.org/aos/agrovoc/c_6111Ecosystem0105 earth and related environmental sciencesChangement climatiquegeographyCartographiehttp://aims.fao.org/aos/agrovoc/c_24174Enhanced vegetation index15. Life on landEvergreenVégétationStructure du peuplement13. Climate actionCouvert forestierPhysical geographyU30 - Méthodes de recherchehttp://aims.fao.org/aos/agrovoc/c_1653tropical rainforestTropical rainforest
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Fishery-dependent and -independent data lead to consistent estimations of essential habitats

2016

AbstractSpecies mapping is an essential tool for conservation programmes as it provides clear pictures of the distribution of marine resources. However, in fishery ecology, the amount of objective scientific information is limited and data may not always be directly comparable. Information about the distribution of marine species can be derived from two main sources: fishery-independent data (scientific surveys at sea) and fishery-dependent data (collection and sampling by observers in commercial vessels). The aim of this paper is to compare whether these two different sources produce similar, complementary, or different results. We compare them in the specific context of identifying the Es…

0106 biological scienceshttp://aims.fao.org/aos/agrovoc/c_28840Biodiversité et Ecologiehabitatmodélisation spatialehttp://aims.fao.org/aos/agrovoc/c_38371OceanographyGaleus melastomus01 natural sciencesRessource halieutiquehttp://aims.fao.org/aos/agrovoc/c_38127Scyliorhinus caniculamodèle hiérarchiqueSpatial statisticsEcologymodèle de distributionSampling (statistics)Contrast (statistics)Cross-validationModélisation et simulationGeographyHabitatGestion des pêchesModeling and Simulationhttp://aims.fao.org/aos/agrovoc/c_10566http://aims.fao.org/aos/agrovoc/c_3456http://aims.fao.org/aos/agrovoc/c_38117survey designMarine conservationSpecies Distribution ModelsEcology (disciplines)Bayesian probabilityEtmopterus spinaxenquête statistiqueDonnée sur les pêchesmodèle spatiotemporelSede Central IEOContext (language use)Aquatic ScienceDistribution des populationsBayesian hierarchical models010603 evolutionary biologyhttp://aims.fao.org/aos/agrovoc/c_24026elasmobranchsBiodiversity and Ecologyélasmobrancheétude comparativeBayesian hierarchical models;Cross-validation;Species Distribution Models;Spatial statistics;INLA;elasmobranchs ; survey designINLA14. Life underwaterspecies distribution modelsEcology Evolution Behavior and Systematicshttp://aims.fao.org/aos/agrovoc/c_6113collecte des donnéesÉcologie marinehttp://aims.fao.org/aos/agrovoc/c_29788http://aims.fao.org/aos/agrovoc/c_4609010604 marine biology & hydrobiologyGestion et conservation des pêchescross validation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulationmodèle bayésienFisheryM01 - Pêche et aquaculture - Considérations généraleshttp://aims.fao.org/aos/agrovoc/c_2a75d27eThéorie bayésienneM40 - Écologie aquatiqueSpatial ecologyhttp://aims.fao.org/aos/agrovoc/c_2942[SDE.BE]Environmental Sciences/Biodiversity and Ecologyvalidation croiséeElasmobranchii
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Assessment of genetically modified maize GA21 for renewal of authorisation under Regulation (EC) No 1829/2003 (application EFSA‐GMO‐RX‐005)

2017

Efsa Panel On Genetically Modified Organisms (gmo) Requestor: European Commission (DG SANTE)Question number: EFSA-Q-2016-00714Correspondence; Following the submission of application EFSA-GMO-RX-005 under Regulation (EC) No 1829/2003 from Syngenta Crop Protection NV/SA, the Panel on Genetically Modified Organisms of the European Food Safety Authority (GMO Panel) was asked to deliver a scientific risk assessment on the data submitted in the context of the renewal of authorisation application of the herbicide-tolerant genetically modified maize GA21. The data received in the context of this renewal application contained post-market environmental monitoring reports, a systematic search and eval…

0106 biological sciencesmaïsVeterinary (miscellaneous)[SDV]Life Sciences [q-bio]Context (language use)TP1-1185Plant Science010501 environmental sciencesOriginal Applicationmaize01 natural sciencesMicrobiologyGenetically modified soybeanzea maysGA21articles 11 and 23media_common.cataloged_instanceTX341-641European union0105 earth and related environmental sciencesmedia_common2. Zero hungerrenewalNutrition. Foods and food supplybusiness.industryindian cornChemical technologyfungiAuthorizationRegulation (EC) No 1829/200310079 Institute of Veterinary Pharmacology and ToxicologyFood safetyGenetically modified organismBiotechnologyScientific Opinionmaize;GA21 renewal;Regulation (EC) No 1829/2003;articles 11 and 23Regulation (EC) No1829/2003570 Life sciences; biologyAnimal Science and ZoologyParasitologyRisk assessmentbusinessRegulation (EC) No 1829/2003010606 plant biology & botanyFood Science
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Assessment of genetically modified maize 1507 × 59122 × MON810 × NK603 and subcombinations, for food and feed uses, under Regulation (EC) No 1829/200…

2017

In this opinion, the GMO Panelassessed the four-event stack maize 1507 x 59122 x MON810 x NK603 and its ten subcombinations, independently of their origin. The GMO Panelpreviously assessed the four single events combined in this four-event stack maize and five of their combinations and did not identify safety concerns. No new data on the single events or their previously assessed combinations leading to modification of the original conclusions were identified. Based on the molecular, agronomic, phenotypic and compositional characteristics, the combination of the single maize events and of the newly expressed proteins in the four-event stack maize did not give rise to food and feed safety or…

0106 biological sciencesmaïs[SDV]Life Sciences [q-bio]Veterinary (miscellaneous)ogmPlant Science010501 environmental sciencesBiology01 natural sciencesMicrobiologyProtein expression1507 x 59122 x MON810 x NK603Environmental safety[SDV.IDA]Life Sciences [q-bio]/Food engineering[SDV.BV]Life Sciences [q-bio]/Vegetal Biology[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineeringinsect resistant and herbicide tolerantmaize (Zea mays)0105 earth and related environmental sciences2. Zero hungerGenetically modified maizeGMO;maize (Zea mays);1507 x 59122 x MON810 x NK603;insect resistant and herbicide tolerant;Regulation (EC) No 1829/2003GMObusiness.industryRegulation (EC) No 1829/2003BiotechnologyScientific OpinionAgronomyRegulation (EC) No1829/2003Animal Science and ZoologyParasitology1507 × 59122 ×  MON810 ×  NK603businessRegulation (EC) No 1829/2003010606 plant biology & botanyFood ScienceEFSA Journal
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The use of accelerometry to evaluate the BMX cycling starting hill. Effect of the Q-Ring™ on the acceleration profile

2020

Accelerometers are becoming popular in sport performance, as they are easy to wear, affordable, and usable in the field. Eccentric chainrings have been commercialised to improve pedalling performance, but little is known about their possible effects in the first pedal strokes (PS) of maximal sprint starts. To analyse the effects of the Q-Ring chainring (Q) on pedalling mechanics and performance in the BMX starting hill, 12 Spanish-National-Team BMX athletes performed 3 maximal sprints comparing Q vs No-Q. Time was measured in the first three meters. Acceleration output was registered with a triaxial 6 g accelerometer (200 Hz) in the first four PS. Discrete time, acceleration and statistical…

0206 medical engineeringBiomechanicsPhysical Therapy Sports Therapy and Rehabilitation030229 sport sciences02 engineering and technologyAccelerometer020601 biomedical engineering03 medical and health sciencesAcceleration0302 clinical medicineSprintEccentricOrthopedics and Sports MedicineCyclingSimulationMathematicsSports Biomechanics
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