Seedling image analysis and traditional tests to evaluate onion seed vigor

Gonçalves, Nayara Roberto; Cícero, Silvio Moure; Abud, Haynna Fernandes

doi:10.1590/2317-1545v39n3160444

Cited by 11 publications

(10 citation statements)

References 19 publications

(20 reference statements)

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“…According to Hinkle et al (2003), a strong linear relationship between two variables show values higher than 0.8; however, in physiological tests of rice (Lorentz and Nunes 2013) and onion seeds (Gonçalves et al 2017) suggested as acceptable values above 0.6 and 0.7, respectively. Nevertheless, due to the natural vigor and germination differences that may exist across seed lots within the same crop, there are no fixed reference values for interpreting the Pearson coefficient in the area of seed testing, demanding that a dataset analysis specific reading for a given sample set.…”

Section: Resultsmentioning

confidence: 98%

Correlation between physiological tests and field emergence in treated corn seeds

Pereira¹,

Correia²,

Felber³

et al. 2019

PLANT SOIL ENVIRON

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The objective of this work was to evaluate the degree of linear association between field emergence with the results of germination and vigor of corn seeds belonging to different initial vigor and submitted to agrochemical treatment. Following seed treatments with (i) carbendazim/thiram + imidaclopride/tiodicarbe; (ii) piraclostrobine, methyl tiophanate and fipronil; (iii) methyl tiophanate/fluazinam + bifentrine/imidaclopride; and (iv) metalaxyl-m/fludioxonil + thiamethoxam, seeds belonging to four different corn cultivars were assessed for their physiological potential. The strength of the Pearson correlation between germination and vigor tests with field emergence decreased after the chemical treatment, to a degree depending on the slurry composition, initial vigor and the test’s substrate.

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Section: Resultsmentioning

confidence: 98%

Correlation between physiological tests and field emergence in treated corn seeds

Pereira¹,

Correia²,

Felber³

et al. 2019

PLANT SOIL ENVIRON

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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%

“…According to Gonçalves et al (2017), the correlation between the traditional tests and image analysis is valuable for adjusting the method, especially for determining the best age of the seedlings to carry out analysis. In this sense, the strong correlation with widely used vigor tests shows the Figure 1.…”

Section: Resultsmentioning

confidence: 99%

“…The use of software that employs the seedling image analysis technique to make inferences regarding seed quality has been studied and recommended for various species, such as squash (Silva et al, 2017), onion (Gonçalves et al, 2017), carrot (Marchi and Cicero, 2017), crambe (Leão-Araújo et al, 2017), soybean (Medeiros and Pereira, 2018;Wendt et al, 2017), common bean (Gomes-Junior et al, 2014), and maize (Castan et al, 2018), among others. However, there is not yet information that shows the effectiveness of Vigor-S® for evaluating common bean seed vigor (Phaseolus vulgaris L.).…”

Section: Introductionmentioning

confidence: 99%

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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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“…In recent years, research in seed technology has prioritized high-throughput seedling phenotyping to evaluate seed vigor in order to minimize these limitations in the analyses. Robust semi-automated phenotyping systems capable of generating reliable data have been shown to be efficient for evaluating squash (Silva et al, 2017), onion (Gonçalves et al, 2017), carrot (Marchi & Cicero, 2017), crambe (Leão-Araújo et al, 2017), corn (Castan et al, 2018;, soybean seedlings Wendt et al, 2017;Yagushi et al, 2014), among others. Among the options available for this purpose is the Seedling Analysis System (SAPL ® ).…”

Section: Introductionmentioning

confidence: 99%

Semi-automated Phenotyping of Soybean Seedlings and Its Relation With Physiological Seed Quality

Silva¹,

Medeiros²,

Pinheiro³

et al. 2019

JAS

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The development of procedures enabling agility and effectiveness to the analyses of seed vigor are great advances for the seed research field. The aim of this paper was to evaluate the efficiency of the Seedling Analysis System (SAPL®) to seedling phenotyping and determining the physiological potential of soybean seeds, in comparison with the information provided by traditional vigor tests recommended for this species. The characterizing of physiological potential of the seed lots was carried out based on germination tests, first germination count, seedling emergence, cold test, and electrical conductivity. The results of these tests were compared with the data obtained using image analysis with the software SAPL®, which was used to evaluate the development seven- day old seedlings. It was obtained the length of shoot, primary root and entire seedling, growth rates, uniformity, vigor index and corrected vigor index, based on different variations of the growth/uniformity ratio, namely 80:20, 70:30, 60:40, in the vigor index calculation. Analysis of images of the seven-day old seedlings using SAPL® enables phenotyping of soybean seedlings and is a consistent and promising alternative for identifying differences in vigor between soybean seed lots, equivalent to that found with traditional vigor tests.

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Seedling image analysis and traditional tests to evaluate onion seed vigor

Cited by 11 publications

References 19 publications

Correlation between physiological tests and field emergence in treated corn seeds

Correlation between physiological tests and field emergence in treated corn seeds

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

Semi-automated Phenotyping of Soybean Seedlings and Its Relation With Physiological Seed Quality

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