Radiography and biometric analysis of broadleaf vegetable seeds
Abstract
Image analysis is an easy to use and non-destructive technique that enables quick decision-making concerning seeds with germination problems or with delays in the analysis period. This work compared seeds of cress, lettuce, endive, chicory, mustard, cabbage and parsley of different classes (full and translucent), separated according to radiographic image, biometrics and germination test of the batches and evaluation of germinability by coat color. The survey was conducted using seeds of broadleaf vegetables subjected to radiographic analysis to obtain a sufficient number of full and translucent seeds for performing the germination test together with the first count and germination speed index. Then, the biometric analysis using the scanned images captured by the Seed Analysis System was performed. In the translucent seeds, except for chicory, it was observed that the germination, vigor and biometric parameters were lower when compared to the full seeds. It was concluded that the analysis of radiographic images is an effective way to categorize the physiological quality of broadleaf vegetables seeds and to demonstrate a connection with their biometrics, but seed coat color cannot be considered as a classification parameter in the studied species.
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References
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