TÉCNICAS DE ANÁLISE DE IMAGEM PARA CARACTERIZAÇÃO DA QUALIDADE DE SEMENTES DE PARICARANA (&lt;i&gt;Bowdichia virgilioides &lt;/i&gt;Kunth)

Lima, Juliana Maria Espíndola; Smiderle, Oscar José; Oliveira, João Almir; Carvalho, María Laene Moreira de

doi:10.5902/1980509833367

Cited by 11 publications

(15 citation statements)

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“…Variables based on pixel intensity, such as relative density, integrated density, and median gray, have been used to classify seeds within physical quality levels (Abud et al, 2018;Arkhipov et al, 2020;Medeiros et al, 2018). These variables are calculated using the gray values of each pixel in the image and have a direct relationship to the resistance that the internal tissues of the seed present to the X-ray passage (Kotwaliwale et al, 2014). Thus, higher intensities of gray indicate denser tissues, i.e., there is a higher impediment to the X-ray passage, which confer a higher level of radiopacity in the seed radiography.…”

Section: Resultsmentioning

confidence: 99%

“…Bars represent the standard deviation. The level of X-ray absorption by seeds is mainly determined by the factors composition, thickness, and density of seed tissues and the wavelength of ionizing radiation (Kotwaliwale et al, 2014). Some studies have mentioned that the contrast used by the equipment in the image calibration must be standardized for a precise comparison between variables related to pixel intensity .…”

Section: Resultsmentioning

confidence: 99%

“…Other systems, such as SVIS (Sako et al, 2001) and Groundeye (https://www.tbit.com.br/), have also been used for automatic seedling analysis, but they are systems with a commercial license. A recent study demonstrated the application of Groundeye for the analysis of Bowdichia virgilioides Kunth seedlings, allowing the automatic measurement of cotyledon leaves, hypocotyls, and primary roots through the training of artificial intelligence models in the software (Lima et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

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Seed quality analysis of Senna siamea Lam. using image analysis techniques

et al. 2020

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The inclusion of image analysis techniques for the accurate and rapid assessment of the quality of forest seeds is highly desirable. The use of digital radiographic images of seeds and the analysis of seedling images, still little used in determining the quality of forest seeds, are among the available imaging techniques. This study aimed to assess the feasibility of using the analysis of images of seeds and seedlings in the assessment of the physical and physiological quality of Senna siamea seeds. Radiographic images of seeds were obtained from five seed lots, allowing generating morphological and tissue integrity descriptors. These seeds were then subjected to germination and seedling growth tests, which allowed obtaining variables related to physiological quality. The generated seedlings were scanned and analyzed using the software ImageJ. The data were analyzed using analysis of variance, correlation, and principal component analysis. The results showed differences between seed lots in terms of physiological quality and physical integrity of internal tissues. Significant correlations were observed between the variables obtained with the radiographic analysis and seed physiological characterization tests. The use of techniques to analyze seed radiographs and seedling images allows access to information on the physical and physiological integrity of S. siamea seeds.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Seed quality analysis of Senna siamea Lam. using image analysis techniques

et al. 2020

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“…This occurs because these seeds have some wraps, among them, waxy cuticle, suberin, palisade tissue and the macrosclereid layers (Cardoso, 2004). Lima et al (2018), performing image analysis technique in Bowdichia virgilioides Kunth, observed that this species may show different seed coat thicknesses.…”

Section: Methodsmentioning

confidence: 99%

Dormancy of Bowdichia virgilioides Kunth seeds

Santos

Mendonça²,

Souza

2020

Científica

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The degree of maturity of fruits and seeds can influence the establishment of seed dormancy. Thus, the present study aimed to verify whether dormancy of B. virgilioides seeds depends on the degree of fruit maturity. Two experiments were carried out: in the first one, fruits at two maturity stages (green and brown) were collected from seven plants located in the municipality of Conceição da Feira, BA, Brazil. Germination tests were conducted in a completely randomized design in a 2 x 2 factorial scheme, with two levels of fruit maturity (yellowish green with purple edges and brown with blackish spots) and two treatments related to dormancy overcoming (without overcoming and with overcoming). For the second experiment, darkened fruits were collected from three plants located in the municipality of Cruz das Almas, BA, Brazil. Germination tests were conducted according to a completely randomized design with two treatments, seeds with and without dormancy overcoming. Dormancy in B. virgilioides seeds depends on the degree of fruit maturity. Dormancy occurs after the seventh week of floral anthesis when the fruits are predominantly black, dry and brittle.

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“…Some software has been developed to assist in computerized analysis of seedlings and allow inferences to be made regarding seed vigor. Prominent among them are the Seed Vigor Imaging System (SVIS®) (Sako, McDonald, Fujimura, Evans, & Bennett, 2001;Trujillo, Gomes-Junior & Cicero, 2019), the automated seed vigor system (Sistema automatizado do vigor de sementes -Vigor-S®) (Castan et al, 2018;Medeiros, Silva, Capobiango, Fialho & Dias, 2019b), GroundEye® (Lima, Smiderle, Oliveira & Carvalho, 2018), and the seedling analysis system (Sistema de análise de plântulas -SAPL®) . However, this last system mentioned was designed to use a more accessible image acquisition system, based on digital images obtained by digital cameras or even smartphones, and its software is free for processing seedling images.…”

Section: Introductionmentioning

confidence: 99%

Chickpea seed vigor evaluated by computerized seedling analysis

Araújo

Dias

Medeiros

et al. 2021

Semina: Ciênc. Agrár.

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Computerized seedling analysis is a promising tool for assessing seed vigor, providing reliable and less subjective results. The aim of this study was to define a method for evaluating the vigor of chickpea seeds through computerized image analysis, using the Seedling Analysis System (Sistema de Análise de Plântula - SAPL®) as a basis. Two chickpea cultivars were evaluated, consisting of five seed lots of cv. BRS Aleppo and four seed lots of cv. Cícero. Test were performed on the seeds of each cultivar for initial characterization of the physiological potential of the lots, and the results were compared with the determinations made via SAPL®. The results showed high correlations between the variables obtained from computerized analysis and from traditional vigor tests, especially for the close relationship between the cold test and low temperature germination test with the corrected vigor index (r > 0.9) evaluated on the fourth day after the beginning of the test. The total length of seedlings, length of the primary root, and growth and corrected vigor indices obtained through computerized analysis of seedlings on the 4th day after sowing allowed separation of the lots regarding vigor. Computerized analysis of seedlings using SAPL® is effective in determining the vigor of chickpea seed lots.

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TÉCNICAS DE ANÁLISE DE IMAGEM PARA CARACTERIZAÇÃO DA QUALIDADE DE SEMENTES DE PARICARANA (<i>Bowdichia virgilioides </i>Kunth)

Cited by 11 publications

References 11 publications

Seed quality analysis of Senna siamea Lam. using image analysis techniques

Seed quality analysis of Senna siamea Lam. using image analysis techniques

Dormancy of Bowdichia virgilioides Kunth seeds

Chickpea seed vigor evaluated by computerized seedling analysis

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