| Autor: |
Lucas Rodrigues de Souza, Marcelo Augusto Rocha Limão, Daniel Teixeira Pinheiro, Gabriel Cordeiro de Oliveira Peris, Denise Cunha Fernandes dos Santos Dias, Luiz Antônio dos Santos Dias |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Journal of Seed Science, Vol 45 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2317-1545 |
| DOI: |
10.1590/2317-1545v45277021 |
| Popis: |
Abstract: The demand for techniques that make it possible to assess the physiological potential of seeds quickly and assertively make near-infrared spectroscopy (FT-NIR) and seedling analysis using ILASTIK software promising tools. The aim of this study was to evaluate the physiological potential of Urochloa decumbens seeds using near-infrared spectroscopy (FT-NIR) and ILASTIK software. Seeds from 10 lots of U. decumbens were classified according to their physiological potential (germination and vigor) and then FT-NIR spectra were obtained from individual seed samples, the original spectra being pre-processed with different dispersion correction methods used for the construction of a classification model through partial least squares discriminant analysis (PSL-DA). For the ILASTIK evaluation, the seedlings were photographed at 7 and 14 days of germination and the trained classifier was applied to the images, generating data on the numbers of strong seedlings, weak seedlings and non-germinated seeds. With data from the FT-NIR technique pre-processed by the 2nd derivative of Savitzky-Golay, it was possible to obtain a classification model with high efficiency to discriminate the classes regarding the physiological potential of the seeds. ILASTIK was efficient to classify seeds according to their physiological potential after only 7 days of germination. FT-NIR and ILASTIK analyses are non-destructive and fast alternatives, with great potential for quality control of U. decumbens seed lots. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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