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	Provedor de dados Scientia Agricola (3) Rev. Ciênc. Agron. (1) Autor Gomes-Junior,Francisco Guilhien (4) Marcos-Filho,Julio (3) Arruda,Natália (1) Castan,Danielle Otte Carrara (1) Jeromini,Tatiane Sanches (1) Martins,Cibele Chalita (1) Pereira,Francisco Elder Carlos Bezerra (1) Santos,Rayssa Fernanda dos (1) Torres,Salvador Barros (1) Mais... Palavra-chave Image analysis (3) Computer vision (2) Seedling vigor (2) Aspect ratio (1) Citrus rootstock (1) Free space (1) Fruit maturation (1) Panicum maximum (1) Physiological potential RGB (1) Principal component (1) SVIS® (1) Seed maturity (1) Vigor (1) Zea mays L. (1) Mais... Tipo do documento Info:eu-repo/semantics/article (4) Ano 2020 (2) 2018 (1) 2017 (1) País Brazil (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Tests to evaluate the physiological potential of Mombasa grass seeds Rev. Ciênc. Agron. Pereira,Francisco Elder Carlos Bezerra; Martins,Cibele Chalita; Jeromini,Tatiane Sanches; Gomes-Junior,Francisco Guilhien; Torres,Salvador Barros. ABSTRACT Identifying fast and efficient tests to evaluate the vigor of forage grass seed lots is desirable in the quality control programs of the companies in this sector. Thus, the objective was to evaluate the efficiency of vigor tests on the physiological quality of seeds of Panicum maximum, cv. Mombasa, for the differentiation of lots and prediction of seedling emergence in the field. Nineteen seed lots were subjected to evaluations of moisture content, germination, first count, germination speed index, seedling emergence in sand, first count of seedling emergence in sand, seedling root and shoot lengths, seedling emergence in the field and computerized analysis of seedling images obtained through SVIS® software. The experimental design was completely... Tipo: Info:eu-repo/semantics/article Palavras-chave: Panicum maximum; SVIS®; Principal component; Vigor; Image analysis. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000100407 Vigor-S, a new system for evaluating the physiological potential of maize seeds Scientia Agricola Castan,Danielle Otte Carrara; Gomes-Junior,Francisco Guilhien; Marcos-Filho,Julio. ABSTRACT: The refinement of vigor tests and the possibility of utilizing computer resources for the effective evaluation of the seed physiological potential have attracted considerable interest from research and seed technologists. The aim of this study was to evaluate the physiological potential of maize seeds using the newly-created Automated Analysis of Seed Vigor System (Vigor-S) compared with other recommended seed vigor tests; two maize hybrids were used, each represented by seven seed lots. Germination and vigor (cold test, saturated salt accelerated aging, and field seedling emergence) evaluations were conducted. For the evaluation of seed vigor with the use of seedling image analysis resources, two systems were compared: the Seed Vigor Imaging... Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays L.; Image analysis; Computer vision; Seedling vigor. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162018000200167 Swingle citrumelo seed vigor and storability associated with fruit maturity classes based on RGB parameters Scientia Agricola Gomes-Junior,Francisco Guilhien; Arruda,Natália; Marcos-Filho,Julio. ABSTRACT: Citrus seeds normally have low storability. Identifying an optimal fruit harvest time for production of high vigor seeds is important for nurseries; however, identifying this stage for Swingle citrumelo fruits has been based only on visual color examination, and research related to this parameter has been inconsistent. The main objective of this study was to evaluate a red-green-blue (RGB) color measurement system for successful identification of Swingle citrumelo fruits possessing seeds with maximum physiological potential and storability. Fruits were harvested at three ripening stages identified as green (G), greenish-yellow (GY), and yellow (Y) pericarp, photographed, and the images processed using ImageJ software. Data were expressed as the... Tipo: Info:eu-repo/semantics/article Palavras-chave: Image analysis; Computer vision; Fruit maturation; Citrus rootstock; Seedling vigor. Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162017000500357 Morphological and physiological changes during maturation of okra seeds evaluated through image analysis Scientia Agricola Santos,Rayssa Fernanda dos; Gomes-Junior,Francisco Guilhien; Marcos-Filho,Julio. ABSTRACT: This study was performed to associate specific morphological parameters, defined by X-ray images, with seed performance of okra (Abelmoschus esculentus (L.) Moench) during maturation. Fruits of cultivar Santa Cruz 47 at different developmental stages were collected at five-day intervals (from 5 to 65 days after anthesis) and water content, dry matter, germination and vigor were determined in seeds extracted immediately after each harvest or after temporary storage for seven days. X-ray tests were also performed after each harvest and the images were analyzed by ImageJ® software to produce data of aspect ratio (relation between major and minor axes of the ellipse surrounding the seed perimeter) and percentage of free space area in the inner seed... Tipo: Info:eu-repo/semantics/article Palavras-chave: Physiological potential RGB; Aspect ratio; Free space; Seed maturity. Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162020000300600 Registros recuperados: 4 Primeira ... 1 ... Última

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