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| Registros recuperados : 298 | |
| 101. |  | MEDEIROS, A. P. R.; NEVES, R. L. P.; LAMEIRA, O. A.; ROCHA, T. T.; RIBEIRO, F. N. S. Caracterização fenológica de Carapa guianensis Aubl. (Meliaceae) no campus da Embrapa Amazônia Oriental. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 102. | | NEVES, R. L. P.; MEDEIROS, A. P. R.; LAMEIRA, O. A.; ROCHA, T. T.; RIBEIRO, F. N. S. Caracterização fenológica da espécie Hyptis crenata Pohl ex Benth no campus da Embrapa Amazônia Oriental. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 103. | | ROCHA, T. T.; RIBEIRO, F. N. S.; LAMEIRA, O. A.; MEDEIROS, A. P. R.; NEVES, R. L. P. Caracterização fenológica de Rubus brasiliensis Mart. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 3., 2014, Santos. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2014.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 105. | | OLIVEIRA, C. S. A.; LAMEIRA, O. A.; RIBEIRO, F. N. S.; ROCHA, T. T.; ASSIS, R. M. A. de. Fenologia e prospecção fitoquímica do jaborandi (Pilocarpus microphyllus Stapf ex Holmes). Revista Brasileira de Plantas Medicinais, Campinas, v. 18, n. 2, p. 621-627, 2016. Suplemento I.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 108. | | ANTUNES, A. F.; GROSSI DE SÁ, F.; JIMENEZ, A. V.; ROCHA, T. L.; PAULA, J. E. de; ESPINDOLA, L. S. Investigação de extratos vegetais do Cerrado sobre insetos-praga de feijão. Jornal Brasileiro de Fitomedicina, v. 5, n. 1-2, p. 5, 2007. Edição dos resumos do VI Simpósio Brasileiro de Farmacognosia, Belém, PA, set. 2007.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 111. | | COSTA, P. H. A.; EVARISTO, R. G. S.; MAGALHÃES, J. C. C.; GROSSI de SÁ, M. F.; ROCHA, T. L. Proteomic analyses of susceptible and resistant cotton roots to Meloidogyne incognita. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE BIOQUÍMICA E BIOLOGIA MOLECULAR, 35., 2006, Águas de Lindóia, SP. Programas e resumos... São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular, 2006.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 112. | | VASCONCELOS, E. A. R.; SILVA, T. S.; MAGALHÃES, M. T. Q.; ROCHA, T. L.; GROSSI de SÁ, M. F. Proteomic analysis of growing - and sporulating - Bacillus thuringiensis (S811) and activity towards Anthonomus grandis (Coleoptera: Curculionidae) larvae. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE BIOQUÍMICA E BIOLOGIA MOLECULAR, 35., 2006, Águas de Lindóia, SP. Programas e resumos... São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular, 2006. Não paginado.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 113. | | VASCONCELOS, E. A. R.; SILVA, T. S.; MAGALHÃES, J. C. C.; ROCHA, T. L.; SA, M. F. G. de. Proteomic characterization of Bacillus thuringiensis S811 strain and evaluation of proteins toxicity towards Anthonomus grandis. In: ANNUAL MEETING OF THE SBBq, 36.; IUBMB CONFERENCE, 10., 2007, Salvador, BA. Infectious diseases: biochemistry of parasites, vectors and hosts. [S.l.]: SBBq, 2007. Não paginado.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 114. | | LACERDA, A. F.; COELHO, R. R.; SILVA, M. S.; ROCHA, T. L.; GROSSI DE SÁ, M. F. A recombinant plant defensin highly effective towards. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 2., 2009, Búzios, RJ. Programa de resumos... [Ribeirão Preto]: Sociedade Brasileira de Genética, 2009. p. 232| Biblioteca(s): Embrapa Cerrados. |
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| 115. | | CRAVEIRO, K. I. C.; GOMES JÚNIOR, J. E.; ROCHA, T. L.; SILVA, M. C. M.; GROSSI DE SÁ, M. F. Screening of cry variants with toxicity against sugar cane giant borer (Castnia licus). In: ANNUAL MEETING OF THE SBBq, 36.; IUBMB CONFERENCE, 10., 2007, Salvador, BA. Infectious diseases: biochemistry of parasites, vectors and hosts. [S.l.]: SBBq, 2007. Não paginado.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 118. | | URBEN, A. F.; ROCHA, T. L.; HIRAGI, G. de O.; SANTOS, R. S. dos; ALVES, A. S.; VIANA, S.; SANTOS, J. N. B. dos. Banco de cogumelos da Embrapa Recursos Genéticos e Biotecnologia e perspectivas de uso na agropecuária brasileira. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 4., 2016, Curitiba. Recursos genéticos no Brasil: a base para o desenvolvimento sustentável: anais. Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2016.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 119. | | SILVA, M. C. M.; TEIXEIRA, F. R.; CRUZ, C. C. M.; COUTINHO, M. V.; ROCHA, T. L.; OLIVEIRA-NETO, O. B.; NESHICH, G.; GROSSI DE SÁ, M. F. Bean shuffled alpha-amylase inhibitors to investigate specificity of binding to insect alpha-amylases. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 1., 2007, Natal, Rio Grande do Norte. [Resumos...]. [S.l]: Monsanto; Brasília: CNPq, 2007. p. 26.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 120. | | CASADO FILHO, E.; ROCHA, T. L.; MEHTA, A.; EVARISTO, R. G. S.; NORONHA, E. F.; GROSSI de SÁ, M. F.; MURAD, A. M.; FRANCO, O. L. Comparative analysis of three different development phases of Meloidogyne incognita by two-dimensional electrophoresis. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE BIOQUÍMICA E BIOLOGIA MOLECULAR, 35., 2006, Águas de Lindóia, SP. Programas e resumos... São Paulo: Sociedade Brasileira de Bioquímica e Biologia Molecular, 2006. Não paginado.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 298 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
19/07/2021 |
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Data da última atualização: |
19/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
BIANCHINI, V. de J. M.; MASCARIN, G. M.; SILVA, L. C. A. S.; ARTHUR, V.; CARSTENSEN, J. M.; BOELT, B.; SILVA, C. B. da. |
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Afiliação: |
VITOR DE JESUS MARTINS BIANCHINI, CENA-USP; GABRIEL MOURA MASCARIN, CNPMA; LÚCIA CRISTINA APARECIDA SANTOS SILVA, CENA-USP; VALTER ARTHUR, CENA-USP; JENS MICHAEL CARSTENSEN, Technical University of Denmark; BIRTE BOELT, Aarhus University; CLÍSSIA BARBOZA DA SILVA, CENA-USP. |
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Título: |
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Plant Methods, v. 17, n. 1, article 9, 2021. |
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ISSN: |
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality |
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DOI: |
https://doi.org/10.1186/s13007-021-00709-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis. MenosAbstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and... Mostrar Tudo |
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Thesagro: |
Controle de Qualidade; Jatropha Curcas; Pinhão de Purga; Semente. |
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Thesaurus NAL: |
Artificial intelligence; Jatropha; Radiography; Seed quality. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/224541/1/Mascarin-Multispectral-xray-2021.pdf
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Marc: |
LEADER 02911naa a2200313 a 4500
001 2133016
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022 $aMultispectral and X-ray images for characterization of Jatropha curcas L. seed quality
024 7 $ahttps://doi.org/10.1186/s13007-021-00709-6$2DOI
100 1 $aBIANCHINI, V. de J. M.
245 $aMultispectral and X-ray images for characterization of Jatropha curcas L. seed quality.$h[electronic resource]
260 $c2021
520 $aAbstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for characterization of biological samples, reducing subjectivity and optimizing the analysis process. Furthermore, the combination of two or more imaging techniques has contributed to discovering new physicochemical tools and interpreting datasets in real time. We present a new method for automatic characterization of seed quality based on the combination of multispectral and X-ray imaging technologies. We proposed an approach using X-ray images to investigate internal tissues because seed surface profile can be negatively affected, but without reaching important internal regions of seeds. An oilseed plant (Jatropha curcas) was used as a model species, which also serves as a multi-purposed crop of economic importance worldwide. Our studies included the application of a normalized canonical discriminant analyses (nCDA) algorithm as a supervised transformation building method to obtain spatial and spectral patterns on different seedlots. We developed classification models using reflectance data and X-ray classes based on linear discriminant analysis (LDA). The classification models, individually or combined, showed high accuracy (> 0.96) using reflectance at 940 nm and X-ray data to predict quality traits such as normal seedlings, abnormal seedlings and dead seeds. Multispectral and X-ray imaging have a strong relationship with seed physiological performance. Reflectance at 940 nm and X-ray data can efficiently predict seed quality attributes. These techniques can be alternative methods for rapid, efficient, sustainable and non-destructive characterization of seed quality in the future, overcoming the intrinsic subjectivity of the conventional seed quality analysis.
650 $aArtificial intelligence
650 $aJatropha
650 $aRadiography
650 $aSeed quality
650 $aControle de Qualidade
650 $aJatropha Curcas
650 $aPinhão de Purga
650 $aSemente
700 1 $aMASCARIN, G. M.
700 1 $aSILVA, L. C. A. S.
700 1 $aARTHUR, V.
700 1 $aCARSTENSEN, J. M.
700 1 $aBOELT, B.
700 1 $aSILVA, C. B. da
773 $tPlant Methods$gv. 17, n. 1, article 9, 2021.
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