Abstract
ABSTRACT Obtaining image-based information is a powerful approach to capture and quantify seed vigor data. However, commercial systems that facilitate the processing and acquisition of images are often cost prohibitive. This study aimed to evaluate the efficiency of the Seedling Analysis System (Sistema de Análise de Plântulas - SAPL®), in order to analyze the physiological potential of soybean seeds, in comparison with the information provided by vigor tests which are traditionally recommended for this species. Nine lots of soybean seeds were submitted to germination, germination speed, seedling emergence, cold test and electrical conductivity tests. In the SAPL® analyzes, seedlings of four and six days, counted from the beginning of the germination test, were evaluated, resulting in values for seedling length, growth, development uniformity, vigor index and corrected vigor index. The evaluated lots with emergence greater than 90 % showed a vigor index higher than 600 and 800, respectively in the fourth and sixth days. The indexes generated by SAPL®, except for the uniformity index, presented positive and high correlations with the traditional tests (> 0.80). SAPL® is efficient in identifying differences in the vigor of soybean seed lots.
Highlights
The use of computerized procedures capable of providing image-based information has been heralded as a powerful approach to capture and quantify data on physiological seed quality.This type of procedure enables increasing the agility of the seed evaluation process, as well as providing a greater reliability in the obtained results (Marcos Filho 2015)
The use of computerized analyzes to determine seed vigor has been successfully reported for several species, such as pumpkin (Silva et al 2017), peanut (Barbosa et al 2016), corn (Castan et al 2018), wheat (Brunes et al 2016), sunflower (Rocha et al 2015), bean (Gomes Junior et al 2014) and soybean (Marcos Filho et al 2009, Wendt et al 2014 and 2017, Yagushi et al 2014), among others
The commercial systems developed for this purpose are powerful tools for collecting image data and making inferences about seed vigor
Summary
The use of computerized procedures capable of providing image-based information has been heralded as a powerful approach to capture and quantify data on physiological seed quality. This type of procedure enables increasing the agility of the seed evaluation process, as well as providing a greater reliability in the obtained results (Marcos Filho 2015). The use of computerized analyzes to determine seed vigor has been successfully reported for several species, such as pumpkin (Silva et al 2017), peanut (Barbosa et al 2016), corn (Castan et al 2018), wheat (Brunes et al 2016), sunflower (Rocha et al 2015), bean (Gomes Junior et al 2014) and soybean (Marcos Filho et al 2009, Wendt et al 2014 and 2017, Yagushi et al 2014), among others. To make high-performance computerized analysis methods more accessible, free software programs and low-cost equipment can be used
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