Abstract
Abstract: The computerized image analysis of seedlings constitutes an efficient technique to evaluate the quality of seed lots, since it is quick in responding, has a simple execution and reproduction. The goal of this research was to verify the efficiency of the computer image analysis of seedlings to detect vigor differences among broccoli seed lots and compare them with other traditionally used vigor tests. Computerized image analysis were performed by the Seed Vigor Imaging System (SVIS®), using 3-day-old seedlings and the results were compared to germination at first count, seedling emergence, accelerated aging and electrical conductivity tests. Evaluations were performed in three experimental periods (before storage, 6 and 12 months of storage at 20 °C and 45-50% RH). A completely randomized design with eight replications of 25 seeds was used. Data were submitted to analysis of variance and means were compared by Scott-Knott test at 5% error probability. It is concluded that it is possible to detect vigor differences among broccoli seed lots by the computerized image analysis of seedlings with SVIS®, similarly to traditional vigor tests.
Highlights
Material and MethodsThe production of broccoli seeds (Brassica oleraceae L. var. italica Plenk) tends to follow the plant growth system itself, which is undetermined
After the harvest, in the same seeds lot it is possible to find seeds at different ripening stages (Lewis and Welbaum, 1996). This results in a seed lot with lower vigor, due to the unevenness of the characteristics related to the internal morphology of seeds
As for the computerized analysis of seedling images, in the second evaluation period (Table 3), it was observed for the cultivar Piracicaba Precoce that lots 1 and 9 maintained the same classification obtained by traditional vigor tests, behaving like the most vigorous lots
Summary
Material and MethodsThe production of broccoli seeds (Brassica oleraceae L. var. italica Plenk) tends to follow the plant growth system itself, which is undetermined. As for the computerized analysis of seedling images (Table 2), the vigor and uniformity indexes, as well as seedling length, were efficient in evaluating the seed vigor of lots from the cultivar Piracicaba Precoce, and allowed their classification in a similar way to the one performed by traditional tests, except for some lots.
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