1000 resultados para Washington Monument (Washington, D.C.)
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Seedling morphology was studied in Campa guianensisAubl. and Carapa proceraD. C. from germination to 90 days age. In both species germination is hypogeal and cryptocotylar. Both have rare albino seedlings. Though both species have compound leaves when adult, C, proceraputs out an average total of six simple leaves at germination, while leaves of C. guianensisare compound at all stages. This is the best diagnostic character for separation of the two species at the young seedling stage. Not diagnostic, but none the less useful, is the fact, that polyembryonic seeds are often found in C. procera,but not observed in C guianensis.
Resumo:
Na Amazônia, encontram-se ambas espécies do gênero Carapa (Meliaceae), conhecidas pela qualidade da madeira e pelo óleo extraído das sementes. O objetivo deste trabalho foi apresentar informações sobre sementes e plântulas de uma maneira abrangente para subsidiar interesses científicos e aplicados à propagação e manejo das espécies. Para tanto são apresentadas a bio-morfologia dos frutos, sementes e plântulas e uma descrição botânica comparativa, permitindo a distinção das duas espécies. A distribuição natural, abundância e fenologia são apresentados; como também fatores que afetam a regeneração natural, relacionados com as altas taxas de predação de sementes e o ataque da broca-do-ponteiro (Hypsipyla grandella). Andiroba produz sementes grandes e regularmente (em média com peso de 25 g - C. guianensis el6 g -C. procera), porém a produção de mudas enfrenta dificuldades devido a intolerância das sementes ao dessecamento e resfriamento. A espessura do tegumento das sementes de C. guianensis pode causar dormência e prolongar a germinação em até seis meses. O tegumento das sementes de C. procera é normalmente mais delgado e elas necessitam em média apenas um mês para germinar. Práticas de viveiro e plantio, assim como o uso destas espécies são abordados.
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Transcriptional Regulatory Networks (TRNs) are powerful tool for representing several interactions that occur within a cell. Recent studies have provided information to help researchers in the tasks of building and understanding these networks. One of the major sources of information to build TRNs is biomedical literature. However, due to the rapidly increasing number of scientific papers, it is quite difficult to analyse the large amount of papers that have been published about this subject. This fact has heightened the importance of Biomedical Text Mining approaches in this task. Also, owing to the lack of adequate standards, as the number of databases increases, several inconsistencies concerning gene and protein names and identifiers are common. In this work, we developed an integrated approach for the reconstruction of TRNs that retrieve the relevant information from important biological databases and insert it into a unique repository, named KREN. Also, we applied text mining techniques over this integrated repository to build TRNs. However, was necessary to create a dictionary of names and synonyms associated with these entities and also develop an approach that retrieves all the abstracts from the related scientific papers stored on PubMed, in order to create a corpora of data about genes. Furthermore, these tasks were integrated into @Note, a software system that allows to use some methods from the Biomedical Text Mining field, including an algorithms for Named Entity Recognition (NER), extraction of all relevant terms from publication abstracts, extraction relationships between biological entities (genes, proteins and transcription factors). And finally, extended this tool to allow the reconstruction Transcriptional Regulatory Networks through using scientific literature.
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v.1 (1890-1895)
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v.2 (1891-1894)
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v.3 (1892-1896)
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v.4 (1893)
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v.5 (1897-1901)
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v.6 (1901)
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v.7 (1900-1902)
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v.8 (1903-1905)
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v.9 (1905)
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v.10 (1906-1908)
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v.11 (1906)
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v.12 (1908-1909)