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| Registros recuperados : 140 | |
| 101. |  | LOPES, R. B.; SOUZA, T. A. D.; MASCARIN, G. M.; SOUZA, D. A. de; BETTIOL, W.; SOUZA, H. R.; FARIA, M. R. de. Akanthomyces diversity in Brazil and their pathogenicity to plant-sucking insects. Journal of Invertebrate Pathology, v. 200, article 107955, 2023.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
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| 102. | | OLIVEIRA FILHO, J. G. de; FERREIRA, L. L.; SARRIA, A. L. F.; PICKETT, J. A.; MASCARIN, G. M.; PÉREZ DE LEÓN, A. A.; BORGES, L. M. F. Brown dog tick, Rhipicephalus sanguineus sensu lato, infestation of susceptible dog hosts is reduced by slow release of semiochemicals from a less susceptible host. Ticks and Tick-borne Diseases, v. 8, n. 1, p. 139-145, Jan. 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 104. | | FILGUEIRAS, M. D. G.; LIMA, V. H.; RIBEIRO-SILVA, C. S.; PINTO, S. M. N.; MASCARIN, G. M.; RIZZO, P. V.; MONTEIRO, C.; FERNANDES, E. K. K. Eficácia de fungos e nematoides entomopatogênicos para controle de Rhipicephalus microplus em pastagem. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 21., 2022, Ilhéus. Antigos problemas, novos paradigmas: resumos. Ilhéus: Sociedade Brasileira de Parasitologia Veterinária, 2022.| Biblioteca(s): Embrapa Gado de Leite. |
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| 105. | | FILGUEIRAS, M. D. G.; LIMA, V. H.; RIBEIRO-SILVA, C. S.; PINTO, S. M. N.; MASCARIN, G. M.; RIZZO, P. V.; MONTEIRO, C.; FERNANDES, E. K. K. Eficácia de fungos e nematoides entomopatogênicos para controle de Rhipicephalus microplus em pastagem. In: CONGRESSO BRASILEIRO DE PARASITOLOGIA VETERINÁRIA, 21., 2022, Ilhéus. Antigos problemas, novos paradigmas: resumos. Ilhéus: Sociedade Brasileira de Parasitologia Veterinária, 2022.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 106. | | JORDAN, C.; SANTOS, P. L. dos; OLIVEIRA, L. R. dos S.; DOMINGUES, M. M.; GÊA, B. C. C.; RIBEIRO, M. F.; MASCARIN, G. M.; WILCKEN, C. F. Entomopathogenic fungi as the microbial frontline against the alien Eucalyptus pest Gonipterus platensis in Brazil. Scientific Reports, v. 11, article 7233, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 107. | | TALAMINI, V.; FERREIRA, J. M. S.; MASCARIN, G. M.; SANTOS, F. J. dos; SILVA, A. M. F.; OLIVEIRA, F. A. de. Detecção e quantificação de Trichoderma Harzianum em amostras de solo coletadas em área de coqueiro anão-verde após aplicação de Tricherdermil. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Anais... Natal: SBF, 2010. Artigo em anais.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 108. | | LOHMANN, T. R.; MESQUITA FILHO, J. de; PAULINO, B. V.; YAMAMOTO, S.; LOPES, R. B.; FONSECA, E. D. da; MASCARIN, G. M. Efeito da aplicação de Trichoderma harzianum na supressão de doenças e no desenvolvimento de mudas de eucalipto. In: CONGRESSO BRASILEIRO DE AGROECOLOGIA, 6.; CONGRESSO LATINO-AMERICANO DE AGROECOLOGIA, 2., 2009, Curitiba. Anais: agricultura familiar e camponesa: experiências passadas e presentes construindo um futuro sustentável Curitiba: ABA: SOCLA, 2009. p. 1478-1482. 1 CD-ROM.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 109. | | CATÃO, A. M. L.; RODRIGUES, J.; MARRETO, R. N.; MASCARIN, G. M.; FERNANDES, E. K. K.; HUMBER, R. A.; LUZ, C. Optimization of granular formulations of Metarhizium humberi microsclerotia with humectants. Journal of Basic Microbiology, v. 61, n. 9, p. 808-813, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 110. | | SANTOS, V.; MASCARIN, G. M.; LOPES, M. da S.; ALVES, M. C. D. F.; REZENDE, J. M.; GATTI, M. S. V.; DUNLAP, C. A.; DELALIBERA JÚNIOR, I. Identification of double-stranded RNA viruses in Brazilian strains of Metarhizium anisopliae and their effects on fungal biology and virulence. Plant Gene, v. 11, p. 49-58, 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 111. | | PAIXÃO, F. R. S.; MUNIZ, E. R.; BARRETO, L. P.; BERNARDO, C. C.; MASCARIN, G. M.; LUZ, C.; FERNANDES, E. K. K. Increased heat tolerance afforded by oil-based conidial formulations of Metarhizium anisopliae and Metarhizium robertsii. Biocontrol Science and Technology, v. 27, n. 3, p. 324-337, 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 112. | | MARCIANO, A. F.; MASCARIN, G. M.; FRANCO, R. F. F.; GOLO, P. S.; JARONSKI, S. T.; FERNANDES, E. K. K.; BITTENCOURT, V. R. E. P. Innovative granular formulation of Metarhizium robertsii microsclerotia and blastospores for cattle tick control. Scientific Reports, v. 11, n. 1, article 4972, 2021. p. 1-11.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 113. | | PAIXÃO, F. R. S. da; MUNIZ, E. R.; CATÃO, A. M. L.; SANTOS, T. R.; LUZ, C.; MARRETO, R. N.; MASCARIN, G. M.; FERNANDES, É. K. K. Microsclerotial pellets of Metarhizium spp.: thermotolerance and bioefficacy against the cattle tick. Applied Microbiology and Biotechnology, v. 107, n. 7-8, p. 2263-2275, 2023.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 114. | | NUNES, P. S. de O.; JÚNIOR, G. V. L.; MASCARIN, G. M.; GUIMARÃES, R. A.; MEDEIROS, F. H. V. de; ARTHURS, S.; BETTIOL, W. Microbial consortia of biological products: do they have a future? Biological Control, v. 188, article 105439, 2024.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 115. | | SILVA, J. do N.; MASCARIN, G. M.; GOMES, I. C. do S.; TINOCO, R. S.; QUINTELA, E. D.; CASTILHO, L. dos R.; FREIRE, D. M. G. New cost-effective bioconversion process of palm kernel cake into bioinsecticides based on Beauveria bassiana and Isaria javanica. Applied Microbiology and Biotechnology, v. 102, n. 6, p. 2595-2606, 2018.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Meio Ambiente. |
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| 116. | | BIANCHINI, V. de J. M.; MASCARIN, G. M.; SILVA, L. C. A. S.; ARTHUR, V.; CARSTENSEN, J. M.; BOELT, B.; SILVA, C. B. da. Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. Plant Methods, v. 17, n. 1, article 9, 2021.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 117. | | SIQUEIRA, A. C. O.; MASCARIN, G. M.; GONÇALVES, C. R. N. C. B.; MARCON, J.; QUECINE, M. C.; FIGUEIRA, A.; DELALIBERA JUNIOR, Í. Multi-trait biochemical features of Metarhizium species and their activities that stimulate the growth of tomato plants. Frontiers in Sustainable Food Systems, v. 4, article 137, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 118. | | MASCARIN, G. M.; MARINHO-PRADO, J. S.; ASSALIN, M. R.; MARTINS, L. G.; BRAGA, E. S.; TASIC, L.; DITA RODRIGUES, M. A.; LOPES, R. B. Natural occurrence of Beauveria caledonica, pathogenicity to Cosmopolites sordidus and antifungal activity against Fusarium oxysporum f. sp. cubense. Pest Management Science, v. 78, n. 11, p. 4458-4470, 2022.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
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| 119. | | LIMA, V. H.; PINTO, S. M. do N.; BARRETO, L. P.; SARRIA, A. L. F.; MASCARIN, G. M.; FERNANDES, É. K. K.; BORGES, L. M. F. Repellent activity of the non-host semiochemical (E)-2-octenal against Amblyomma sculptum and Amblyomma dubitatum ticks under field conditions. Experimental and Applied Acarology, v. 92, n. 3, p. 423-437, 2024.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 120. | | QUINTELA, E. D.; ABREU, A. G.; LIMA, J. F. dos S.; MASCARIN, G. M.; SANTOS, J. B. dos; BROWN, J. K. Reproduction of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) B biotype in maize fields (Zea mays L.) in Brazil. Pest Management Science, New Jersey, v. 72, n. 11, p. 2181-2187, Nov. 2016.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 140 | |
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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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