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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
19/10/2015 |
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Data da última atualização: |
15/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NASCIMENTO, M.; PETERNELLI, L. A.; CRUZ, C. D.; NASCIMENTO, A. C. C.; FERREIRA, R. de P. |
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Afiliação: |
MOYSÉS NASCIMENTO, UNIVERSIDADE FEDERAL DE VIÇOSA, VIÇOSA, MG; LUIZ ALEXANDRE PETERNELLI, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; COSME DAMIÃO CRUZ, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; ANA CAROLINA CAMPANHA NASCIMENTO, UNIVERSIDADE FEDERAL VIÇOSA/ VIÇOSA, MG.; REINALDO DE PAULA FERREIRA, CPPSE. |
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Título: |
Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 13, n. 2, p. 152-156, jul. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology of Eberhart and Russell. Data from an experiment on dry matter production of 92 alfalfa genotypes (Medicago sativa L.) were used. The experimental design constituted of randomized blocks, with two repetitions. The genotypes were submitted to 20 cuttings, in the growing season of November 2004 to June 2006. Each cutting was considered an environment. The artificial neural network was able to satisfactorily classify the genotypes. In addition, the analysis presented high agreement rates, compared with the results obtained by the methodology of Eberhart and Russell. |
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Palavras-Chave: |
Bioinformatic; Data simulation; Eberhart russell. |
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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/131321/1/PROCI-2013.00300.pdf
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Marc: |
LEADER 01410naa a2200205 a 4500
001 2026720
005 2023-05-15
008 2013 bl uuuu u00u1 u #d
100 1 $aNASCIMENTO, M.
245 $aArtificial neural networks for adaptability and stability evaluation in alfalfa genotypes$h[electronic resource]
260 $c2013
520 $aThe purpose of this work was to evaluate a methodology of adaptability and phenotypic stability of alfalfa genotypes based on the training of an artificial neural network considering the methodology of Eberhart and Russell. Data from an experiment on dry matter production of 92 alfalfa genotypes (Medicago sativa L.) were used. The experimental design constituted of randomized blocks, with two repetitions. The genotypes were submitted to 20 cuttings, in the growing season of November 2004 to June 2006. Each cutting was considered an environment. The artificial neural network was able to satisfactorily classify the genotypes. In addition, the analysis presented high agreement rates, compared with the results obtained by the methodology of Eberhart and Russell.
653 $aBioinformatic
653 $aData simulation
653 $aEberhart russell
700 1 $aPETERNELLI, L. A.
700 1 $aCRUZ, C. D.
700 1 $aNASCIMENTO, A. C. C.
700 1 $aFERREIRA, R. de P.
773 $tCrop Breeding and Applied Biotechnology$gv. 13, n. 2, p. 152-156, jul. 2013.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pesca e Aquicultura. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
04/06/2018 |
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Data da última atualização: |
05/05/2021 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
MACIEL, E. da S.; GALVÃO, J. A.; SAVAY-DA-SILVA, L. K.; KATO, H. A.; QUARESMA, F. R. P.; SONATI, J. G.; OETTERER, M. |
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Afiliação: |
ERIKA DA SILVA MACIEL, UNIVERSIDADE FEDERAL DO TOCANTINS, Miracema do Tocantins-TO; JULIANA A. GALVÃO, USP; LUCIANA K. SAVAY-DA-SILVA, UNIVERSIDADE FEDERAL DE MATO GROSSO, Cuiabá-MT; HELLEN CHRISTINA DE ALMEIDA KATO, CNPASA; FERNANDO R. P. QUARESMA, UNIVERSIDADE FEDERAL DO TOCANTINS, Palmas-TO; JAQUELINE G. SONATI, UNIVERSIDADE DE TAUBATÉ, SP; MARILIA OETTERER, USP. |
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Título: |
The perception of consumers Vis-à-Vis tracked fish measured via electronic instrument. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: GRUMEZESCU, A. M.; HOLBAN, A. M. (Ed.). Food processing for increased quality and consumption. San Diego: Academic Press, 2018. |
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Páginas: |
p. 129-148. |
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Série: |
(Handbook of Food Bioengineering, 18). |
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ISBN: |
978-0-12-811447-6 |
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DOI: |
10.1016/B978-0-12-811447-6.00016-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Food traceability has been used to monitor production processes, and provide identification and information about sources and processes through computer technology. Technology also allows the recall of suspecting products identifying potential failures during their production. In this chapter, we discuss the impact of implementing the tracking technology into the Brazilian and Portuguese fish production chain and its impact on consumers? attitudes using data collection through the Internet. The data collected allowed evaluating the initiative to track fish. The results showed that for 73.23% of participants, fish tracking was good and very good, and of this total, 82.19% are willing to pay more for a product with origin guarantee, which may indicate a market trend in search of a product with origin guarantee. The results also provided subsidies for the adoption of policies to implement a traceability system for fish to boost consumption. |
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Thesagro: |
Coleta de Dados; Consumo Alimentar; Peixe; Pesquisa de Mercado. |
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Thesaurus NAL: |
Consumers (people); Data collection; Fish production; Food chain; Internet; Marketing strategies. |
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Categoria do assunto: |
Q Alimentos e Nutrição Humana |
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Marc: |
LEADER 02095naa a2200361 a 4500
001 2092195
005 2021-05-05
008 2018 bl uuuu u00u1 u #d
020 $a978-0-12-811447-6
024 7 $a10.1016/B978-0-12-811447-6.00016-3$2DOI
100 1 $aMACIEL, E. da S.
245 $aThe perception of consumers Vis-à-Vis tracked fish measured via electronic instrument.$h[electronic resource]
260 $c2018
300 $ap. 129-148.
490 $a(Handbook of Food Bioengineering, 18).
520 $aFood traceability has been used to monitor production processes, and provide identification and information about sources and processes through computer technology. Technology also allows the recall of suspecting products identifying potential failures during their production. In this chapter, we discuss the impact of implementing the tracking technology into the Brazilian and Portuguese fish production chain and its impact on consumers? attitudes using data collection through the Internet. The data collected allowed evaluating the initiative to track fish. The results showed that for 73.23% of participants, fish tracking was good and very good, and of this total, 82.19% are willing to pay more for a product with origin guarantee, which may indicate a market trend in search of a product with origin guarantee. The results also provided subsidies for the adoption of policies to implement a traceability system for fish to boost consumption.
650 $aConsumers (people)
650 $aData collection
650 $aFish production
650 $aFood chain
650 $aInternet
650 $aMarketing strategies
650 $aColeta de Dados
650 $aConsumo Alimentar
650 $aPeixe
650 $aPesquisa de Mercado
700 1 $aGALVÃO, J. A.
700 1 $aSAVAY-DA-SILVA, L. K.
700 1 $aKATO, H. A.
700 1 $aQUARESMA, F. R. P.
700 1 $aSONATI, J. G.
700 1 $aOETTERER, M.
773 $tIn: GRUMEZESCU, A. M.; HOLBAN, A. M. (Ed.). Food processing for increased quality and consumption. San Diego: Academic Press, 2018.
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