Registro completo |
Provedor de dados: |
Rev. bras. sementes
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País: |
Brazil
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Título: |
Radiographic analysis in castor bean seeds (Ricinus communis L.)
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Autores: |
Carvalho,Maria Laene Moreira de
Alves,Renato Augusto
Oliveira,Luciana Magda De.
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Data: |
2010-01-01
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Ano: |
2010
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Palavras-chave: |
Image analysis
X-ray
Seed quality
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Resumo: |
Castor bean cropping has great social and economic value, but its production has been affected by factors such as low quality seeds used for sowing. The quick and precise evaluation of seed quality by x-ray test is known as an effective method to evaluate seed lots, but little is known about the interpretation between of the type of radiographic image and the seed quality correlation. The potential of x-ray analysis as a marker of seed physiological quality and as an initial process for the implementation of the use of computer-assisted image analysis was investigated using castor bean seeds of the different cultivars. The seeds were classified according to internal morphology visualized in the radiography and subjected to the germination test, emergency and seedling growth rate. It was possible to identify the different types of internal tissues, morphological and physical damage in castor bean seeds using the x-ray test. Tissues generating translucent images, embryo deformation, or tissues with less than 50% of endosperm reserves or spotted, negatively affected the physiological potential of the seed lots. Radiographic analysis is effective as an instrument to improve castor bean seed lot quality. This non destructive analysis allows the prediction of seedling performance and enabled the selection of high-quality seeds under the standards of a sustainable and precision agriculture
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Tipo: |
Info:eu-repo/semantics/article
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Idioma: |
Inglês
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Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-31222010000100019
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Editor: |
Associação Brasileira de Tecnologia de Sementes
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Relação: |
10.1590/S0101-31222010000100019
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Formato: |
text/html
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Fonte: |
Revista Brasileira de Sementes v.32 n.1 2010
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Direitos: |
info:eu-repo/semantics/openAccess
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