Digital images of seedling for evaluating coffee seed vigor

dc.contributor.authorTrujillo, Heiber Andres
dc.contributor.authorGomes-Junior, Francisco Guilhien
dc.contributor.authorCicero, Silvio Moure
dc.date.accessioned2022-02-08T13:37:27Z
dc.date.available2022-02-08T13:37:27Z
dc.date.issued2019
dc.description.abstractThe 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.pt_BR
dc.formatpdfpt_BR
dc.identifier.citationTRUJILLO, H. A.; GOMES-JUNIOR, F. G.; CICERO, S. M. Digital images of seedling for evaluating coffee seed vigor. Journal of Seed Science, Londrina, v. 41, n. 1, p. 60-68, jan./mar. 2019.pt_BR
dc.identifier.issn2317-1545
dc.identifier.urihttp://dx.doi.org/10.1590/2317-1545v41n1204651pt_BR
dc.identifier.urihttp://www.sbicafe.ufv.br/handle/123456789/13290
dc.language.isoenpt_BR
dc.publisherAssociação Brasileira de Tecnologia de Sementes - ABRATESpt_BR
dc.relation.ispartofseriesJournal of Seed Science;v.41, n.1, 2019
dc.rightsOpen Accesspt_BR
dc.subjectCoffea arabica L.pt_BR
dc.subjectPotencial fisiológico de sementespt_BR
dc.subjectVisão computacionalpt_BR
dc.subjectProcessamento de imagens de plântulaspt_BR
dc.subject.classificationCafeicultura::Sementes e mudaspt_BR
dc.titleDigital images of seedling for evaluating coffee seed vigorpt_BR
dc.typeArtigopt_BR

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