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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
19/10/2015 |
Data da última atualização: |
15/05/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
NASCIMENTO, M.; PETERNELLI, L. A.; CRUZ, C. D.; NASCIMENTO, A. C. C.; FERREIRA, R. de P. |
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. |
Título: |
Artificial neural networks for adaptability and stability evaluation in alfalfa genotypes |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 13, n. 2, p. 152-156, jul. 2013. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Bioinformatic; Data simulation; Eberhart russell. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
07/06/2023 |
Data da última atualização: |
07/06/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 3 |
Autoria: |
CORREA, D. L.; MARTORANO, L. G.; MORAES, J. R. da S. C. de; LISBOA, L. S. S. |
Afiliação: |
DENISON LIMA CORREA, UNIVERSIDADE ESTADUAL DO PARÁ; LUCIETA GUERREIRO MARTORANO, CPATU; JOSÉ REINALDO DA SILVA CABRAL DE MORAES, UNIVERSIDADE ESTADUAL PAULISTA "JÚLIO DE MESQUITA FILHO"; LEILA SHEILA SILVA LISBOA, SECRETARIA MUNICIPAL DE BELÉM. |
Título: |
Morphometric indices in the Curuá-Una River sub-basin as potential indicators for forest restoration in hydrographic mesoregions in the Central Amazon. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Bragantia, v. 81, e4422, 2022. |
DOI: |
https://doi.org/10.1590/1678-4499.20220098 |
Idioma: |
Inglês |
Conteúdo: |
Watersheds are planning units because they are delimited by topographic divisions formed by a main river and its tributaries, in which water drainage is channeled into a course of greater water volume, such as the Amazon basin, which flows into the Atlantic Ocean. The objective of this work was to analyze the morphometry of the hydrographic sub-basin of the Curuá-Una River (SBHRM), that integrates the Curuá-Una hydrographic micro-region in western Pará, Brazil, and its surroundings. Data from abiotic variables integrated in a geographic information system were used to identify the areas that most need restauration using production systems such as agroforestry as part of a forest restoration process, necessary to land degradation in the sub-basin and its surroundings. It was found that the sub-basin of the Curuá-Una River has a more elongated shape, confirmed by the circularity index, compactness coefficient, and shape factor. It is a fifth order sub-basin with a densely branched drainage network with a low probability of flooding due to the predominance of undulating relief. The morphometric characteristics present conditions that can be used in anthropic areas integrated into production systems such as agroforestry. The existence of tree species such as andiroba, copaíba, and the Brazil nut tree in the Tapajós basin, as inventoried by the Project RADAMBRAZIL, must be included in agroforestry arrangements in the recovery of degraded areas in western Pará. |
Palavras-Chave: |
Restauração florestal. |
Thesagro: |
Erosão. |
Thesaurus NAL: |
Amazonia; Forest restoration. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154330/1/Morphometric-indices-.pdf
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Marc: |
LEADER 02211naa a2200217 a 4500 001 2154330 005 2023-06-07 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1590/1678-4499.20220098$2DOI 100 1 $aCORREA, D. L. 245 $aMorphometric indices in the Curuá-Una River sub-basin as potential indicators for forest restoration in hydrographic mesoregions in the Central Amazon.$h[electronic resource] 260 $c2022 520 $aWatersheds are planning units because they are delimited by topographic divisions formed by a main river and its tributaries, in which water drainage is channeled into a course of greater water volume, such as the Amazon basin, which flows into the Atlantic Ocean. The objective of this work was to analyze the morphometry of the hydrographic sub-basin of the Curuá-Una River (SBHRM), that integrates the Curuá-Una hydrographic micro-region in western Pará, Brazil, and its surroundings. Data from abiotic variables integrated in a geographic information system were used to identify the areas that most need restauration using production systems such as agroforestry as part of a forest restoration process, necessary to land degradation in the sub-basin and its surroundings. It was found that the sub-basin of the Curuá-Una River has a more elongated shape, confirmed by the circularity index, compactness coefficient, and shape factor. It is a fifth order sub-basin with a densely branched drainage network with a low probability of flooding due to the predominance of undulating relief. The morphometric characteristics present conditions that can be used in anthropic areas integrated into production systems such as agroforestry. The existence of tree species such as andiroba, copaíba, and the Brazil nut tree in the Tapajós basin, as inventoried by the Project RADAMBRAZIL, must be included in agroforestry arrangements in the recovery of degraded areas in western Pará. 650 $aAmazonia 650 $aForest restoration 650 $aErosão 653 $aRestauração florestal 700 1 $aMARTORANO, L. G. 700 1 $aMORAES, J. R. da S. C. de 700 1 $aLISBOA, L. S. S. 773 $tBragantia$gv. 81, e4422, 2022.
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