Image analysis to evaluate the physiological potential and morphology of pearl millet seeds

Javorski, Maicon; Castan, Danielle Otte Carrara; Silva, Sibelle Santanna da; Gomes-Júnior, Francisco Guilhien; Cícero, Silvio Moure

doi:10.1590/2317-1545v40n2176904

Cited by 12 publications

(14 citation statements)

References 15 publications

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“…Recent studies with the use of seedling image analysis have indicated evaluations at two days after sowing for maize (Mondo et al, 2011) and millet (Javorski et al, 2018) seeds; three to four days for common bean (Gomes-Junior et al, 2014), soybean (Marcos-Filho et al, 2009;Medeiros and Pereira, 2018), crambe (Leão-Araújo et al, 2017), and sunflower (Rocha et al, 2015) seeds; and five to six days for onion (Gonçalves et al, 2017) and carrot (Marchi and Cicero, 2017) seeds.…”

Section: Resultsmentioning

confidence: 99%

Assessing the physiological quality of common bean seeds using the Vigor-S® system and its relation to the accelerated aging test

et al. 2019

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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.

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Section: Resultsmentioning

confidence: 99%

Assessing the physiological quality of common bean seeds using the Vigor-S® system and its relation to the accelerated aging test

et al. 2019

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“…According to Tanabata et al (2012), information on the quantitative evaluation of seeds' shape and size, when obtained by reliable and high throughput methodology, can benefit several fields of plant research, such as plant breeding programs, acting together with functional analysis studies and improvement of genomic assisted crops. Moreover, studies have shown a close relationship between these characteristics and seedling vigor (Abud et al, 2018;Javorski et al, 2018;, since the variability of seed size and shape may be related to the environment during the maturation process.…”

Section: Resultsmentioning

confidence: 99%

X-ray imaging and digital processing application in non-destructive assessing of melon seed quality

et al. 2020

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Non-destructive and high throughput methods have been developed for seed quality evaluation. The aim of this study was to relate parameters obtained from the free and automated analysis of digital radiographs of hybrid melons’ seeds to their seeds’ physiological potential. Seeds of three hybrid melon (Cucumis melo L.) cultivars from commercial lot samples were used. Radiographic images of the seeds were obtained, from which area, perimeter, circularity, relative density, integrated density and seed filling measurements were generated by means of a macro (PhenoXray) developed for ImageJ® software. After the X-ray test, seed samples were submitted to the germination test, from which variables related to the physiological quality of the seeds were obtained. Variability between lots was observed for both physical and physiological characteristics. Results showed that the use of the PhenoXray macro allows large-scale phenotyping of seed radiographs in a simple, fast, consistent and completely free way. The methodology is efficient in obtaining morphometric and tissue integrity data of melon seeds and the generated parameters are closely related to physiological attributes of seed quality.

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“…Likewise, in seeds of soybean (Marcos-Filho et al, 2009), peanuts (Marchi et al, 2011), and sweet corn (Alvarenga et al, 2012), the results from the SVIS ® analysis were consistent with those provided by the accelerated aging test. In many other plants, such as corn (Hoffmaster et al, 2005;Castan et al, 2018), cucumber (Chiquito et al, 2012), bean (Gomes-Junior et al, 2014), and pearl millet (Javorski et al, 2018), the computer imaging of seedlings was also efficient in evaluating the vigor of seed lots.…”

Section: Resultsmentioning

confidence: 99%

“…The seeds had the germination induced, according to the method previously described for the germination test. The evaluations comprised the count of seedlings with a primary root of at least 2 mm long, as suggested by Machado et al (2012). Accounted seedlings were removed from the rest of the group, and the procedure was repeated daily with the remaining ones, always at the same time, until the protrusion of the primary roots ceased.…”

Section: Methodsmentioning

confidence: 99%

Digital images of seedling for evaluating coffee seed vigor

2019

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The digital image analysis of seedlings has become largely employed in seed quality-control programs due to its feasibility, objectivity and fast results. Despite these advantages, no studies have yet demonstrated the efficiency of this technique for analyzing coffee seed vigor. The present study aimed at evaluating the efficiency of the Seed Vigor Imaging System (SVIS®) in determining the vigor of coffee seeds (Coffea arabica L.) from digital images of seedlings. Also, the results of these analyses were contrasted with conventional vigor tests. Six seed lots from each cultivar, Bourbon and Catucaí 20/15, were used. The research was conducted in two experimental times, and the seed vigor was determined by the tests of first germination count, accelerated aging, electrical conductivity, primary root protrusion speed, as well as by the analysis of scanned images of seedlings, made possible by the SVIS® software. For the Bourbon and Catucaí 20/15 cultivars, the SVIS® analysis was able to discriminate lots of both high and low vigor (vigor indexes of 317 to 752, and 181 to 703, respectively). A similar outcome was obtained from the conventional tests appraised in this research. Eventually, it was possible to conclude that the digital analysis of 20-day-old seedlings by SVIS® is an efficient method to evaluate coffee seed vigor.

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Image analysis to evaluate the physiological potential and morphology of pearl millet seeds

Cited by 12 publications

References 15 publications

Assessing the physiological quality of common bean seeds using the Vigor-S® system and its relation to the accelerated aging test

Assessing the physiological quality of common bean seeds using the Vigor-S® system and its relation to the accelerated aging test

X-ray imaging and digital processing application in non-destructive assessing of melon seed quality

Digital images of seedling for evaluating coffee seed vigor

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