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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
04/12/2023 |
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Data da última atualização: |
08/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MICHELON, T. B.; VIEIRA, E. S. N.; PANOBIANCO, M. |
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Afiliação: |
THOMAS B. MICHELON, FEDERAL UNIVERSITY OF PARANÁ; ELISA SERRA NEGRA VIEIRA, CNPF; MARISTELA PANOBIANCO, FEDERAL UNIVERSITY OF PARANÁ. |
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Título: |
Spectral imaging and chemometrics applied at phenotyping in seed science studies: a systematic review. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Seed Science Research, v. 33, p. 9-22, 2023. |
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DOI: |
https://doi.org/10.1017/ S0960258523000028 |
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Idioma: |
Português |
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Conteúdo: |
Abstract The evaluation of the genetic quality of a seed lot is crucial for the quality control process in its production and commercialization, as well as in the identification of superior genotypes and the verification of the correct crossing in plant breeding programmes. Current techniques, based on the identification of seed morphological characteristics, require skilled analysts, while biochemical methods are time-consuming and costly. The application of spectral imaging analysis, which combines digital imaging with spectroscopy, is gaining ground as a fast, accurate and non-destructive method. The success of this technique is closely linked to chemometric techniques, which use statistical and mathematical tools in data processing. The aim of the work was to evaluate the main procedures in terms of spectral image analysis and chemometric procedures applied in seed phenotyping and its practical application. A systematic review was conducted using the PRISMA methodology, in which a total of 1304 articles were identified and screened to the inclusion of 44 articles pertaining to the scope. It was concluded that spectral image analysis has a high ability to classify seeds of different genotypes (93.33%) in a range of situations: between cultivars; hybrids and progenitors; and hybrids and lines, as well as in the separation of coated seeds. Accurate classification can be obtained by different strategies, such as the choice of the equipment type, the spectrum range and extra features, guided by the characteristics of the species, as well as in the choice of algorithms and dimensionality reduction procedures for the optimization of models when there is a large amount of data. Despite the fact that the practical application of this technique in seed phenotyping still needs to be developed for use in laboratories with large volumes of analyses, lots, genotypes and harvests. Research has been accelerated to overcome the practical challenges of this method, as seen in works using model update algorithms, online classification systems, and real-time classification maps. Thus, there are strong indications that the application of multispectral image analysis will reach the routine of seed analysis laboratories. MenosAbstract The evaluation of the genetic quality of a seed lot is crucial for the quality control process in its production and commercialization, as well as in the identification of superior genotypes and the verification of the correct crossing in plant breeding programmes. Current techniques, based on the identification of seed morphological characteristics, require skilled analysts, while biochemical methods are time-consuming and costly. The application of spectral imaging analysis, which combines digital imaging with spectroscopy, is gaining ground as a fast, accurate and non-destructive method. The success of this technique is closely linked to chemometric techniques, which use statistical and mathematical tools in data processing. The aim of the work was to evaluate the main procedures in terms of spectral image analysis and chemometric procedures applied in seed phenotyping and its practical application. A systematic review was conducted using the PRISMA methodology, in which a total of 1304 articles were identified and screened to the inclusion of 44 articles pertaining to the scope. It was concluded that spectral image analysis has a high ability to classify seeds of different genotypes (93.33%) in a range of situations: between cultivars; hybrids and progenitors; and hybrids and lines, as well as in the separation of coated seeds. Accurate classification can be obtained by different strategies, such as the choice of the equipment type, the spectrum range and extra ... Mostrar Tudo |
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Palavras-Chave: |
Classificação; Deep learning; Espectroscopia; Hyperspectral imaging; Imagem hiperespectral; Machine learning; Multispectral imaging; Seed classification. |
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Thesagro: |
Semente. |
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Thesaurus Nal: |
Spectroscopy. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 03093naa a2200277 a 4500
001 2159100
005 2023-12-08
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/ S0960258523000028$2DOI
100 1 $aMICHELON, T. B.
245 $aSpectral imaging and chemometrics applied at phenotyping in seed science studies$ba systematic review.$h[electronic resource]
260 $c2023
520 $aAbstract The evaluation of the genetic quality of a seed lot is crucial for the quality control process in its production and commercialization, as well as in the identification of superior genotypes and the verification of the correct crossing in plant breeding programmes. Current techniques, based on the identification of seed morphological characteristics, require skilled analysts, while biochemical methods are time-consuming and costly. The application of spectral imaging analysis, which combines digital imaging with spectroscopy, is gaining ground as a fast, accurate and non-destructive method. The success of this technique is closely linked to chemometric techniques, which use statistical and mathematical tools in data processing. The aim of the work was to evaluate the main procedures in terms of spectral image analysis and chemometric procedures applied in seed phenotyping and its practical application. A systematic review was conducted using the PRISMA methodology, in which a total of 1304 articles were identified and screened to the inclusion of 44 articles pertaining to the scope. It was concluded that spectral image analysis has a high ability to classify seeds of different genotypes (93.33%) in a range of situations: between cultivars; hybrids and progenitors; and hybrids and lines, as well as in the separation of coated seeds. Accurate classification can be obtained by different strategies, such as the choice of the equipment type, the spectrum range and extra features, guided by the characteristics of the species, as well as in the choice of algorithms and dimensionality reduction procedures for the optimization of models when there is a large amount of data. Despite the fact that the practical application of this technique in seed phenotyping still needs to be developed for use in laboratories with large volumes of analyses, lots, genotypes and harvests. Research has been accelerated to overcome the practical challenges of this method, as seen in works using model update algorithms, online classification systems, and real-time classification maps. Thus, there are strong indications that the application of multispectral image analysis will reach the routine of seed analysis laboratories.
650 $aSpectroscopy
650 $aSemente
653 $aClassificação
653 $aDeep learning
653 $aEspectroscopia
653 $aHyperspectral imaging
653 $aImagem hiperespectral
653 $aMachine learning
653 $aMultispectral imaging
653 $aSeed classification
700 1 $aVIEIRA, E. S. N.
700 1 $aPANOBIANCO, M.
773 $tSeed Science Research$gv. 33, p. 9-22, 2023.
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Registro original: |
Embrapa Florestas (CNPF) |
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Tipo/Formato |
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Registro |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
27/12/2022 |
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Data da última atualização: |
27/12/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CAVALCANTE, M. C. B.; CARVALHO, R. R. B. de; OLIVEIRA, L. A. de; OLIVEIRA, E. J. de. |
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Afiliação: |
MARIA CELMA BOAVENTURA CAVALCANTE, FACULDADE MARIA MILZA; RAVENA ROCHA BESSA DE CARVALHO, UNIVERSIDADE FEDERAL DO RECÔNCAVO DA BAHIA; LUCIANA ALVES DE OLIVEIRA, CNPMF; EDER JORGE DE OLIVEIRA, CNPMF. |
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Título: |
Avaliação do teor de carotenoides em clones de mandioca. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 15., 2021. Mulheres na ciência desafios, oportunidades e conquistas. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2021. 109 f. il. PDF. |
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Idioma: |
Português |
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Conteúdo: |
Introdução: A mandioca (Manihot esculenta Crantz) é considerada uma das plantas com maior volume de produção no mundo. Trata-se de uma cultura que se adapta às mais diversas condições de solo e clima. Suas raízes constituem-se como uma importante fonte de carboidrato para alimentação, bem como meio de sobre-vivência para a população de baixa renda. A variação da cor da raiz é função da quantidade de pigmentos presentes, os quais estão incluídos os carotenoides, como o ?-caroteno e o licopeno. Os carotenoides são importantes na alimentação por sua ação antioxidante. O consumo de variedades de mandioca com maiores teores de ?-caroteno, precursor da vitamina A, pode ser uma forma de prevenir a deficiência dessa vitamina em populações em que a mandioca é o alimento básico. [...]. |
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Thesagro: |
Mandioca. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1150401/1/AnaisJornadaCientifica-2021-MulheresNaCienciaDesafiosOportunidadesConquistas-AINFO-74.pdf
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Marc: |
LEADER 01440nam a2200157 a 4500
001 2150401
005 2022-12-27
008 2021 bl uuuu u00u1 u #d
100 1 $aCAVALCANTE, M. C. B.
245 $aAvaliação do teor de carotenoides em clones de mandioca.$h[electronic resource]
260 $aIn: CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 15., 2021. Mulheres na ciência desafios, oportunidades e conquistas. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2021. 109 f. il. PDF.$c2021
520 $aIntrodução: A mandioca (Manihot esculenta Crantz) é considerada uma das plantas com maior volume de produção no mundo. Trata-se de uma cultura que se adapta às mais diversas condições de solo e clima. Suas raízes constituem-se como uma importante fonte de carboidrato para alimentação, bem como meio de sobre-vivência para a população de baixa renda. A variação da cor da raiz é função da quantidade de pigmentos presentes, os quais estão incluídos os carotenoides, como o ?-caroteno e o licopeno. Os carotenoides são importantes na alimentação por sua ação antioxidante. O consumo de variedades de mandioca com maiores teores de ?-caroteno, precursor da vitamina A, pode ser uma forma de prevenir a deficiência dessa vitamina em populações em que a mandioca é o alimento básico. [...].
650 $aMandioca
700 1 $aCARVALHO, R. R. B. de
700 1 $aOLIVEIRA, L. A. de
700 1 $aOLIVEIRA, E. J. de
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Embrapa Mandioca e Fruticultura (CNPMF) |
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