Data/hora: 11/06/2024 02:09:41

Provedor de dados: | 64
País: | Brazil
Título: | Parameters based on X-ray images to assess the physical and physiological quality of Leucaena leucocephala seeds
Autores: | Medeiros,André Dantas de; Araújo,Joyce de Oliveira; León,Manuel Jesús Zavala; Silva,Laércio Junio da; Dias,Denise Cunha Fernandes dos Santos.
Data: | 2018-12-01
Ano: | 2018
Palavras-chave: | Forest species; Image analysis; Multivariate analysis; Relative density; Seed radiography.
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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542018000600643
Editor: | Editora da Universidade Federal de Lavras
Relação: | 10.1590/1413-70542018426023318
Formato: | text/html
Fonte: | Ciência e Agrotecnologia  v.42 n.6 2018
Fonte: | info:eu-repo/semantics/openAccess