966 resultados para silvicultura clonal
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Pós-graduação em Biologia Geral e Aplicada - IBB
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Pós-graduação em Doenças Tropicais - FMB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Cette étude visait à générer une carte du potentiel d'érosion pour la Ferme Santa Edwirges, située à Lorena /SP. Les résultats ont etés classifiés en faible, modéré, élève et très élève potentiel d'érosion et la carte obtenue a été comparé par rapport aux autres cartes existantes pour la zone d'étude. La méthodologie proposée se basant sur une application qualitative simple L’équation Universelle de Perte de Sol (USLE ou EUPS), en considérant les parties de l'équation: érodibilité, la topographie et l'utilisation des terres. Les donnés ont etés intégrés par l'algèbre de carte dans l’environnement SIG de ArcGIS. Pour la représentation de chacune de ces parcelles, nous avons utilisé une carte des formations superficielles de la ferme, généré à partir d'une ré-interprétation de la carte géologique, une carte de la pente et une carte d'utilisation des terres, attribuant un poids d’important pour chaque catégorie de ces cartes dans le processus d'érosion et dans l'algèbre proposée. Les résultats obtenus sont compatibles avec les zones identifiées comme les plus critiques sur terrain. La ferme a été identifiée comme de potentiel d'érosion modérée et la partie sud de la ferme le plus critique, suivi du groupe conduit par la zone de cisaillement, par contre les plaines proches des rivières ont eté identifié comme la zone plus stable avec moins de potentiel d'érosionDe la comparaison des résultats de ce travail et d'autres qui ont fait antérieurement dans la zone d’intéresse, qui ont utilisé les paramètres géotechniques dans la représentation de l'érosivité des sols, nous avons pu voir des résultats similaires, en particulier dans les zones à potentiel élevé et faible pour l'érosion. De la discussion et analyse des résultats, la méthodologie proposée à eté validée
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pyometra is recognized as one of the main causes of disease and death in the bitch, and Escherichia coli is the major pathogen associated with this disease. In this study, 70 E. coli isolates from the uteri horn, mouth, and rectum of bitches suffering from the disease and 43 E. coli isolates from the rectum of clinically healthy bitches were examined for the presence of uropathogenic virulence genes and susceptibility to antimicrobial drugs. DNA profiles of isolates from uteri horn and mouth in bitches with pyometra were compared by REP, ERIC, and BOX-PCR. Virulence gene frequencies detected in isolates from canine pyometra were as follows: 95.7% fim, 27.1% iss, 25.7% hly, 18.5% iuc, and 17.1% usp. Predominant resistance was determined for cephalothin, ampicillin, and nalidixic acid among the isolates from all sites examined. Multidrug resistance was found on ∼ 50% pyometra isolates. Using the genotypic methods some isolates from uteri, pus, and saliva of the same bitch proved to have identical DNA profiles which is a reason for concern due to the close relationship between household pets and humans.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The lack of effective tools have hampered our ability to assess the size, growth and ages of clonal plants. With Serenoa repens (saw palmetto) as a model, we introduce a novel analytical framework that integrates DNA fingerprinting and mathematical modelling to simulate growth and estimate ages of clonal plants. We also demonstrate the application of such life-history information of clonal plants to provide insight into management plans. Serenoa is an ecologically important foundation species in many Southeastern United States ecosystems; yet, many land managers consider Serenoa a troublesome invasive plant. Accordingly, management plans have been developed to reduce or eliminate Serenoa with little understanding of its life history. Using Amplified Fragment Length Polymorphisms, we genotyped 263 Serenoa and 134 Sabal etonia (a sympatric non-clonal palmetto) samples collected from a 20 X 20 m study plot in Florida scrub. Sabal samples were used to assign small field-unidentifiable palmettos to Serenoa or Sabal and also as a negative control for clone detection. We then mathematically modelled clonal networks to estimate genet ages. Our results suggest that Serenoa predominantly propagate via vegetative sprouts and 10000-year-old genets may be common, while showing no evidence of clone formation by Sabal. The results of this and our previous studies suggest that: (i) Serenoa has been part of scrub associations for thousands of years, (ii) Serenoa invasion are unlikely and (ii) once Serenoa is eliminated from local communities, its restoration will be difficult. Reevaluation of the current management tools and plans is an urgent task.
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The lack of effective tools has hampered our ability to assess the size, growth and ages of clonal plants. With Serenoa repens (saw palmetto) as a model, we introduce a novel analytical frame work that integrates DNA fingerprinting and mathematical modelling to simulate growth and estimate ages of clonal plants. We also demonstrate the application of such life-history information of clonal plants to provide insight into management plans. Serenoa is an ecologically important foundation species in many Southeastern United States ecosystems; yet, many land managers consider Serenoa a troublesome invasive plant. Accordingly, management plans have been developed to reduce or eliminate Serenoa with little understanding of its life history. Using Amplified Fragment Length Polymorphisms, we genotyped 263 Serenoa and 134 Sabal etonia (a sympatric non-clonal palmetto) samples collected from a 20 x 20 m study plot in Florida scrub. Sabal samples were used to assign small field-unidentifiable palmettos to Serenoa or Sabal and also as a negative control for clone detection. We then mathematically modelled clonal networks to estimate genet ages. Our results suggest that Serenoa predominantly propagate via vegetative sprouts and 10000-year-old genets maybe common, while showing no evidence of clone formation by Sabal. The results of this and our previous studies suggest that: (i) Serenoa has been part of scrub associations for thousands of years, (ii) Serenoa invasions are unlikely and (ii) once Serenoa is eliminated from local communities, its restoration will be difficult. Reevaluation of the current management tools and plans is an urgent task.