2012
DOI: 10.1590/s0101-31222012000200010
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Assessment of physiological potential of cucumber seeds using the software Seedling Vigor Imaging System® (SVIS®)

Abstract: -The software Seed Vigor Imaging System (SVIS ® ), has been successfully used to evaluate seed physiological potential by automated analyses of scanned seedlings. In this research, the efficiency of this system was compared to other tests accepted for assessing cucumber (Cucumis sativus L.) seed vigor of distinct seed lots of Supremo and Safira cultivars. Seeds were subjected to germination, traditional and saturated salt accelerated aging, seedling emergence, seedling length and SVIS analyses (determination o… Show more

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Cited by 35 publications
(35 citation statements)
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“…The studies on automated analysis of seedling images have basically compared results obtained from SVIS® with those from tests usually accepted for seed vigor evaluation, as observed with melon (Marcos-Filho et al, 2006), soybean , cucumber (Chiquito et al, 2012), sweet corn (Alvarenga et al, 2012), and wheat (Silva et al, 2012), among other crops.…”
Section: Sse (Index) ------------------------------------------------mentioning
confidence: 99%
“…The studies on automated analysis of seedling images have basically compared results obtained from SVIS® with those from tests usually accepted for seed vigor evaluation, as observed with melon (Marcos-Filho et al, 2006), soybean , cucumber (Chiquito et al, 2012), sweet corn (Alvarenga et al, 2012), and wheat (Silva et al, 2012), among other crops.…”
Section: Sse (Index) ------------------------------------------------mentioning
confidence: 99%
“…The SVIS ® software was also efficient in the analysis of other species, such as: soybean (Hoffmaster et al, 2003;Marcos-Filho et al, 2009); maize (Otoni and McDonald, 2005;Mondo et al, 2011), cucumber (Chiquito et al, 2012); eggplant (Silva and Cicero, 2014a); tomato (Silva and Cicero, 2014b); melon (Marcos-Filho et al, 2006), among other species. It is worth highlighting that the computerized image analysis of seedlings is based on seedling growth and uniformity, whereas vigor tests such as accelerated aging, seedling emergence, cold test, and others, do not take into account the size and uniformity of seedling development, since the results are reported in percentages of normal seedlings or emergent seedlings; the differences among evaluation methods may explain the possible differences in lot ranking, especially those presenting intermediate behaviors.…”
Section: Resultsmentioning
confidence: 99%
“…Considering that the inclusion of new approaches depends directly on the research, image analysis is a recent alternative to help understanding different aspects of seed development, referring mainly to morphological aspects, and providing consistent information quickly and without the influence of the seed analyst's subjectivity (Chiquito et al, 2012;Marcos-Filho, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…The SVIS software has been applied to seed vigor evaluations in various species, such as corn (HOFFMASTER et al, 2005), sweet corn ), soybean (HOFFMASTER et al, 2003MARCOS FILHO et al, 2009), lettuce (KIKUTI;PEÑALOZA et al, 2005), sun hemp (SILVA et al, 2012), cucumber (CHIQUITO et al, 2012) and melon (MARCOS FILHO et al, 2006). The software has also been recommended as a useful and reliable alternative test for seed vigor assessment in comparison to traditional vigor tests.…”
Section: Resultsmentioning
confidence: 99%
“…Additionally, the results are not subject to the influence of human interpretations and could reduce the time and cost spent on seed analyses. Furthermore, it is always important to evaluate the physiological potential of seed lots using at least two different tests and to perform a careful interpretation of the results to obtain a high consistency in generating reliable information (CHIQUITO et al, 2012).…”
Section: Resultsmentioning
confidence: 99%