| Revista: | Anais da Academia Brasileira de Ciencias |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000436149 |
| ISSN: | 0001-3765 |
| Autores: | Medeiros, André D. de1 Silva, Laércio J. da1 Pereira, Márcio D2 Oliveira, Ariadne M.S1 Dias, Denise C.F.S1 |
| Instituciones: | 1Universidade Federal de Vicosa, Departamento de Agronomia, Vicosa, Minas Gerais. Brasil 2Universidade Federal do Rio Grande do Norte, Unidade Academica Especializada em Ciencias Agrarias, Macaíba, Rio Grande do Norte. Brasil |
| Año: | 2020 |
| Volumen: | 92 |
| País: | Brasil |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Aplicado, descriptivo |
| Resumen en inglés | New approaches based on image analysis can assist in phenotyping of biological characteristics, serving as support for decision-making in modern agribusiness. The aim of this study was to propose a method of high-throughput phenotyping of free access for processing of 2D X-ray images of brachiaria grass (Brachiaria ruziziensis cv. Ruziziensis) seeds, as well as correlate the parameters linked to the physiological potential of the seeds. The study was carried out by means of automated analysis of X-ray images of seeds in which a macro, called PhenoXray, was developed, responsible for digital image processing, for which a series of descriptors were obtained. After the X-ray analysis, a germination test was performed on the seeds and, from this, variables related to the physiological quality of the seeds were obtained. The use of the macro PhenoXray allowed large-scale phenotyping of seed X-rays in a simple, rapid, robust, and totally free manner. This study confirmed that the methodology is efficient for obtaining morphometric data and tissue integrity data in Brachiaria ruziziensis seeds and that parameters such as relative density, integrated density, and seed filling are closely related to the physiological attributes of seed quality |
| Disciplinas: | Agrociencias |
| Palabras clave: | Gramíneas, Fitotecnia, Plantas forrajeras, Análisis automatizado de imágenes, Pastos, Rayos X, Semillas, Brachiaria ruziziensis, Poaceae |
| Keyword: | Gramineae, Crop husbandry, Forage plants, Automated image analysis, Grasses, X-rays, Seeds, Brachiaria ruziziensis, Poaceae |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
