Description and automated seed morphostructural characterization of Myrciaria dubia (Kunth) McVaugh: Diagnostic Imaging
Keywords:
Northern Amazon, camu-camu, quality, remaining bioprocessed, SAS.Abstract
Description and characterization morphostructural automated Myrciaria dubia seeds (Kunth) McVaugh: Diagnostic Imaging). The use of diagnostic imaging technology has been presented as an important tool for the rapid and accurate diagnosis of the morphology and uniformity of plant materials such as seeds, fruits and seedlings. Thus, this study aimed to describe and characterize seeds that had been bioprocessed from the pulp extraction of the fruits of Myrciaria dubia; these seeds are used in research with technological prospecting and experimental processing in small agro-industries, with the intent of producing quality seedlings for use as raw material for the manufacture of new biotechnology products in the northern Amazon. The study was conducted in waste laboratories and seeds of the EMBRAPA. Representative samples of seeds were selected from December 2013 and were described and characterized by its internal and external parts in the System for Seed Analysis (SAS) by applying the principles of diagnostic imaging techniques. The seeds were 1.72 cm in diameter with an interval of 1.50 cm - 1.99 cm and were 0.49 cm long. The minimum average diameter was 1.18 cm, with intervals ranging from 1.01 to 1.34 cm. For the predominant colors, blue, green and red channels values had values of 31.19, 49.69, and 87.94, respectively, with noticeable visual observations that demonstrated the maturation phase. The diagnostic imaging technique allows for the efficient and effective characterization and classification of morphostructural M. dubia seeds compared to the conventional method.Downloads
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Published
2017-07-03
How to Cite
Sousa, R. de C. P. de, Bacelar-Lima, C. G., Silva, M. R. da, Smiderle, O. J., & Chagas, E. A. (2017). Description and automated seed morphostructural characterization of Myrciaria dubia (Kunth) McVaugh: Diagnostic Imaging. Revista Brasileira De Biociências, 15(2). Retrieved from https://seer.ufrgs.br/index.php/rbrasbioci/article/view/114620
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