Abstract
Abstract: Automated analysis of seed vigor stands out by allowing greater accuracy, standardization, objectivity, and speed in evaluation of the physiological potential of seed lots. The objective of this study was to evaluate the efficiency of the Vigor-S® system in assessing the physiological quality of common bean seeds compared to the information provided by the traditional vigor tests recommended for this species. Four genotypes of common bean were used, each one represented by four seed lots. Characterization of the physiological potential of the lots was carried out by the following tests: germination, first count of germination, seedling emergence, accelerated aging, and electrical conductivity. The results of these tests were compared with the data obtained from the image analysis technique, specifically the Vigor-S® system, which was used to evaluate seedling growth at two, three, and four days after the beginning of the germination test. Shoot length, primary root length, and seedling length were measured, as well as the growth index, uniformity index, and vigor index were calculated. Computerized analysis of seedling images using the Vigor-S® software is a reliable alternative for evaluation the physiological potential of bean seeds, and it produces information similar to evaluations traditionally used for that purpose.
Highlights
Over the years, research in seed physiology and technology has contributed to the development of valuable tools for production of high-quality seeds
According to Marcos-Filho (2016), the uniformity of this parameter among seed lots is of utmost importance because differences greater than 2 percentage points can affect the reliability of the results of vigor tests
All the seed lots exhibited values greater than 80% in the germination test, which is the minimum standard for commercialization of common bean seeds in Brazil (Brasil, 2013)
Summary
Research in seed physiology and technology has contributed to the development of valuable tools for production of high-quality seeds. Vigor tests are efficient to identify less advanced stages. The advent of computerized image processing has allowed quantification of various characteristics linked to seed physiological quality (Marques et al, 2015). In this respect, the use of this technology has advanced in the procedures used in assessment of seed vigor, mainly based on seedling performance, mitigating errors arising from subjective analyses. The technique stands out through its greater accuracy, standardization, objectivity, and speed in obtaining consistent results (Castan et al, 2018)
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