2,143 research outputs found

    Spiroplasma kunkelii: controle genĂ©tico da resistĂȘncia do milho.

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    Trabalho apresentado no 42Âș Congresso Brasileiro de Fitopatologia, 2009. Rio de Janeiro, RJ

    Enfezamentos: doenças do milho disseminadas por inseto.

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    bitstream/item/35602/1/Enfezamentos-doencas.pd

    InfluĂȘncia da temperatura nos sintomas causados pelo enfezamento pĂĄlido do milho.

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    bitstream/item/26833/1/Circ-151.pd

    RecomendaçÔes para o manejo de doenças do milho disseminadas por insetos-vetores.

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    As doenças do milho disseminadas por insetos-vetores sĂŁo os enfezamentos causados pelos molicutes espiroplasma e fitoplasma, e as viroses. Entre os insetos-vetores importantes para essa cultura, destacam-se a cigarrinha Dalbulus maidis , que transmite o espiroplasma, o fitoplasma e o vĂ­rus da risca (Maize rayado fino virus ), e os pulgĂ”es, que transmitem os vĂ­rus que causam o mosaico-comum-do-milho. A virose denominada faixa-clorĂłtica-das-nervuras, cujo vĂ­rus agente causal Ă© transmitido pela cigarrinha Peregrinus maidis , tambĂ©m ocorre no milho no Brasil, porĂ©m de forma esporĂĄdica, em baixos nĂ­veis de incidĂȘncia. Os enfezamentos por molicutes e a virose mosaico-comum, eventualmente, tĂȘm ocorrido em surtos epidĂȘmicos, causando danos expressivos e, por isso, destacam-se em importĂąncia. Este trabalho tem por objetivo caracterizar os enfezamentos, a virose mosaico-comum-do-milho, e os insetos-vetores dos agentes causais dessas doenças. Apresenta evidĂȘncias da influĂȘncia de fatores climĂĄticos e de caracterĂ­sticas do sistema de produção na incidĂȘncia e nos danos que essas doenças podem causar. Apresenta formas possĂ­veis para escape das doenças disseminadas pelos insetos-vetores e alternativas para seu manejo.bitstream/item/121416/1/circ-205.pd

    From the digital twins in healthcare to the Virtual Human Twin: a moon-shot project for digital health research

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    The idea of a systematic digital representation of the entire known human pathophysiology, which we could call the Virtual Human Twin, has been around for decades. To date, most research groups focused instead on developing highly specialised, highly focused patient-specific models able to predict specific quantities of clinical relevance. While it has facilitated harvesting the low-hanging fruits, this narrow focus is, in the long run, leaving some significant challenges that slow the adoption of digital twins in healthcare. This position paper lays the conceptual foundations for developing the Virtual Human Twin (VHT). The VHT is intended as a distributed and collaborative infrastructure, a collection of technologies and resources (data, models) that enable it, and a collection of Standard Operating Procedures (SOP) that regulate its use. The VHT infrastructure aims to facilitate academic researchers, public organisations, and the biomedical industry in developing and validating new digital twins in healthcare solutions with the possibility of integrating multiple resources if required by the specific context of use. The VHT infrastructure can also be used by healthcare professionals and patients for clinical decision support or personalised health forecasting. As the European Commission launched the EDITH coordination and support action to develop a roadmap for the development of the Virtual Human Twin, this position paper is intended as a starting point for the consensus process and a call to arms for all stakeholders

    Aplicação de Sistema de InformaçÔes Geogråficas na anålise espacial de doenças do milho no Brasil.

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    This study presents an application of the geographical information system technology on plant disease involving a multidisciplinary teamwork of geoprocessing and physiopathology specialists. The spatial analysis tools in a GIS were used to evaluate the spatial distribution of two diseases of maize in Brazil: polysora rusl caused by Puccinia polysora and tropical rust caused by Physopella zeae. A database of cIimate variables (mean temperature. relative humidity. and leaf wetness duration) of cIimatological normal from 1961-1990 was obtained and then related it to a mathematical model of disease development (polysora rust) and to the cIimate intervals (tropical rust) in order to obtain the maps. The choice of the model or the favorable climate interval is the important chalIenge of the method because the difficulty of adequacy to the spatial and temporal scales for the specific application. The major incidence of both disease occurred in almost alI the North region from January to June. although this region has traditionalIy a low production of maize. Considering the biggest producers regions. for both the diseases, favorable areas are located in part of Mato Grosso, Tocanlins. Minas Gerais; Mato Grosso do Sul. and coastal areas of SĂŁo Paulo, ParanĂĄ, and Santa Catarina. varying among the dilferent months from January to June. The method allowed making an adequate distinction of the states and the months considered

    Sonic hedgehog medulloblastoma cancer stem cells mirnome and transcriptome highlight novel functional networks

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    Molecular classification has improved the knowledge of medulloblastoma (MB), the most common malignant brain tumour in children, however current treatments cause severe side effects in patients. Cancer stem cells (CSCs) have been described in MB and represent a sub population characterised by self-renewal and the ability to generate tumour cells, thus representing the reservoir of the tumour. To investigate molecular pathways that characterise this sub population, we isolated CSCs from Sonic Hedgehog Medulloblastoma (SHH MB) arisen in Patched 1 (Ptch1) heterozygous mice, and performed miRNA-and mRNA-sequencing. Comparison of the miRNA-sequencing of SHH MB CSCs with that obtained from cerebellar Neural Stem Cells (NSCs), allowed us to obtain a SHH MB CSC miRNA differential signature. Pathway enrichment analysis in SHH MB CSCs mirnome and transcriptome was performed and revealed a series of enriched pathways. We focused on the putative targets of the SHH MB CSC miRNAs that were involved in the enriched pathways of interest, namely pathways in cancer, PI3k-Akt pathway and protein processing in endoplasmic reticulum pathway. In silico analysis was performed in SHH MB patients and identified several genes, whose expression was associated with worse overall survival of SHH MB patients. This study provides novel candidates whose functional role should be further investigated in SHH MB
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