| Registro completo |
| Provedor de dados: |
Ciência e Agrotecnologia
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| País: |
Brazil
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| Título: |
Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds
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| Autores: |
Medeiros,André Dantas de
Araújo,Joyce de Oliveira
León,Manuel Jesús Zavala
Silva,Laércio Junio da
Dias,Denise Cunha Fernandes dos Santos
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| Data: |
2018-12-01
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| Ano: |
2018
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| Palavras-chave: |
Forest species
Image analysis
Multivariate analysis
Relative density
Seed radiography
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| Resumo: |
ABSTRACT Non-destructive and high performance analyses are highly desirable and important for assessing the quality of forest seeds. The aim of this study was to relate parameters obtained from semi-automated analysis of radiographs of Leucaena leucocephala seeds to their physiological potential by means of multivariate analysis. To do so, seeds from five lots collected from parent trees from the region of Viçosa, MG, Brazil, were used. The study was carried out through analysis of radiographic images of seeds, from which the percentage of damaged seeds (predation and fungi), and measurements of area, perimeter, circularity, relative density, and integrated density of the seeds were obtained. After the X-ray test, the seeds were tested for germination in order to assess variables related to seed physiological quality. Multivariate statistics were applied to the data generated, with use of principal component analysis (PCA). X-ray testing allowed visualization of details of the internal structure of seeds and differences regarding density of seed tissues. Semi-automated analysis of radiographic images of Leucaena leucocephala seeds provides information on seed physical characteristics and generates parameters related to seed physiological quality in a simple, fast, and inexpensive manner.
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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=S1413-70542018000600643
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| Editor: |
Editora da Universidade Federal de Lavras
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| Relação: |
10.1590/1413-70542018426023318
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| Formato: |
text/html
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| Fonte: |
Ciência e Agrotecnologia v.42 n.6 2018
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| Direitos: |
info:eu-repo/semantics/openAccess
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