SAPL®: a free software for determining the physiological potential in soybean seeds

Detalhes bibliográficos
Autor(a) principal: Dantas de Medeiros, André
Data de Publicação: 2018
Outros Autores: Dias Pereira, Márcio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa Agropecuária Tropical (Online)
Texto Completo: https://revistas.ufg.br/pat/article/view/52340
Resumo: Obtaining image-based information is a powerful approach to capture and quantify seed vigor data. However, commercial systems that facilitate the processing and acquisition of images are often cost prohibitive. This study aimed to evaluate the efficiency of the Seedling Analysis System (Sistema de Análise de Plântulas - SAPL®), in order to analyze the physiological potential of soybean seeds, in comparison with the information provided by vigor tests which are traditionally recommended for this species. Nine lots of soybean seeds were submitted to germination, germination speed, seedling emergence, cold test and electrical conductivity tests. In the SAPL® analyzes, seedlings of four and six days, counted from the beginning of the germination test, were evaluated, resulting in values for seedling length, growth, development uniformity, vigor index and corrected vigor index. The evaluated lots with emergence greater than 90 % showed a vigor index higher than 600 and 800, respectively in the fourth and sixth days. The indexes generated by SAPL®, except for the uniformity index, presented positive and high correlations with the traditional tests (> 0.80). SAPL® is efficient in identifying differences in the vigor of soybean seed lots.
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spelling SAPL®: a free software for determining the physiological potential in soybean seedsSAPL®: um software gratuito para determinação do potencial fisiológico em sementes de sojaGlycine max (L.) Merillphysiological seed qualityseed technology.Glycine max (L.) MerillQualidade fisiológica de sementesTecnologia de sementesObtaining image-based information is a powerful approach to capture and quantify seed vigor data. However, commercial systems that facilitate the processing and acquisition of images are often cost prohibitive. This study aimed to evaluate the efficiency of the Seedling Analysis System (Sistema de Análise de Plântulas - SAPL®), in order to analyze the physiological potential of soybean seeds, in comparison with the information provided by vigor tests which are traditionally recommended for this species. Nine lots of soybean seeds were submitted to germination, germination speed, seedling emergence, cold test and electrical conductivity tests. In the SAPL® analyzes, seedlings of four and six days, counted from the beginning of the germination test, were evaluated, resulting in values for seedling length, growth, development uniformity, vigor index and corrected vigor index. The evaluated lots with emergence greater than 90 % showed a vigor index higher than 600 and 800, respectively in the fourth and sixth days. The indexes generated by SAPL®, except for the uniformity index, presented positive and high correlations with the traditional tests (> 0.80). SAPL® is efficient in identifying differences in the vigor of soybean seed lots.A obtenção de informações baseadas em imagens é uma abordagem poderosa para capturar e quantificar dados sobre o vigor de sementes. No entanto, sistemas comerciais que facilitam o processamento e a aquisição de imagens são, muitas vezes, de custo proibitivo. Objetivou-se avaliar a eficiência do Sistema de Análise de Plântulas (SAPL®), para analisar o potencial fisiológico de sementes de soja, em comparação com informações fornecidas por testes de vigor tradicionalmente recomendados para a espécie. Nove lotes de sementes de soja foram submetidos a avaliações de germinação, velocidade de germinação, emergência de plântulas, teste de frio e condutividade elétrica. Nas análises com o SAPL®, foram avaliadas plântulas com quatro e seis dias, contados a partir do início do teste de germinação, que resultaram em valores de comprimento de plântulas, crescimento, uniformidade de desenvolvimento, índice de vigor e índice de vigor corrigido. Os lotes avaliados com emergência superior a 90 % apresentaram índice de vigor superior a 600 e 800, no quarto e sexto dias, respectivamente. Os índices gerados pelo SAPL®, exceto o índice de uniformidade, apresentaram correlações positivas e altas com os testes tradicionais (> 0,80). O SAPL® é eficiente para identificar diferenças no vigor de lotes de sementes de soja.Escola de Agronomia - Universidade Federal de Goiás2018-07-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado por paresapplication/pdfhttps://revistas.ufg.br/pat/article/view/52340Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 48, n. 3, Jul./Sep. 2018; 222-228Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 48, n. 3, jul./set. 2018; 222-228Pesquisa Agropecuária Tropical; v. 48, n. 3, jul./set. 2018; 222-2281983-4063reponame:Pesquisa Agropecuária Tropical (Online)instname:Universidade Federal de Goiás (UFG)instacron:UFGenghttps://revistas.ufg.br/pat/article/view/52340/25879Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)info:eu-repo/semantics/openAccessDantas de Medeiros, AndréDias Pereira, Márcio2020-07-13T19:21:20Zoai:ojs.revistas.ufg.br:article/52340Revistahttps://revistas.ufg.br/patPUBhttps://revistas.ufg.br/pat/oaiaseleguini.pat@gmail.com||mgoes@agro.ufg.br1983-40631517-6398opendoar:2024-05-21T19:56:20.796020Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)true
dc.title.none.fl_str_mv SAPL®: a free software for determining the physiological potential in soybean seeds
SAPL®: um software gratuito para determinação do potencial fisiológico em sementes de soja
title SAPL®: a free software for determining the physiological potential in soybean seeds
spellingShingle SAPL®: a free software for determining the physiological potential in soybean seeds
Dantas de Medeiros, André
Glycine max (L.) Merill
physiological seed quality
seed technology.
Glycine max (L.) Merill
Qualidade fisiológica de sementes
Tecnologia de sementes
title_short SAPL®: a free software for determining the physiological potential in soybean seeds
title_full SAPL®: a free software for determining the physiological potential in soybean seeds
title_fullStr SAPL®: a free software for determining the physiological potential in soybean seeds
title_full_unstemmed SAPL®: a free software for determining the physiological potential in soybean seeds
title_sort SAPL®: a free software for determining the physiological potential in soybean seeds
author Dantas de Medeiros, André
author_facet Dantas de Medeiros, André
Dias Pereira, Márcio
author_role author
author2 Dias Pereira, Márcio
author2_role author
dc.contributor.author.fl_str_mv Dantas de Medeiros, André
Dias Pereira, Márcio
dc.subject.por.fl_str_mv Glycine max (L.) Merill
physiological seed quality
seed technology.
Glycine max (L.) Merill
Qualidade fisiológica de sementes
Tecnologia de sementes
topic Glycine max (L.) Merill
physiological seed quality
seed technology.
Glycine max (L.) Merill
Qualidade fisiológica de sementes
Tecnologia de sementes
description Obtaining image-based information is a powerful approach to capture and quantify seed vigor data. However, commercial systems that facilitate the processing and acquisition of images are often cost prohibitive. This study aimed to evaluate the efficiency of the Seedling Analysis System (Sistema de Análise de Plântulas - SAPL®), in order to analyze the physiological potential of soybean seeds, in comparison with the information provided by vigor tests which are traditionally recommended for this species. Nine lots of soybean seeds were submitted to germination, germination speed, seedling emergence, cold test and electrical conductivity tests. In the SAPL® analyzes, seedlings of four and six days, counted from the beginning of the germination test, were evaluated, resulting in values for seedling length, growth, development uniformity, vigor index and corrected vigor index. The evaluated lots with emergence greater than 90 % showed a vigor index higher than 600 and 800, respectively in the fourth and sixth days. The indexes generated by SAPL®, except for the uniformity index, presented positive and high correlations with the traditional tests (> 0.80). SAPL® is efficient in identifying differences in the vigor of soybean seed lots.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado por pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufg.br/pat/article/view/52340
url https://revistas.ufg.br/pat/article/view/52340
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufg.br/pat/article/view/52340/25879
dc.rights.driver.fl_str_mv Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2018 Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics)
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
publisher.none.fl_str_mv Escola de Agronomia - Universidade Federal de Goiás
dc.source.none.fl_str_mv Pesquisa Agropecuária Tropical [Agricultural Research in the Tropics]; v. 48, n. 3, Jul./Sep. 2018; 222-228
Pesquisa Agropecuária Tropical (Agricultural Research in the Tropics); v. 48, n. 3, jul./set. 2018; 222-228
Pesquisa Agropecuária Tropical; v. 48, n. 3, jul./set. 2018; 222-228
1983-4063
reponame:Pesquisa Agropecuária Tropical (Online)
instname:Universidade Federal de Goiás (UFG)
instacron:UFG
instname_str Universidade Federal de Goiás (UFG)
instacron_str UFG
institution UFG
reponame_str Pesquisa Agropecuária Tropical (Online)
collection Pesquisa Agropecuária Tropical (Online)
repository.name.fl_str_mv Pesquisa Agropecuária Tropical (Online) - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv aseleguini.pat@gmail.com||mgoes@agro.ufg.br
_version_ 1799874819960864768

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