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	Provedor de dados AGRIAMBI (2) Autor Bettiol,João V. T. (2) Fischer Filho,João A. (2) Bossolani,João W. (1) Coelho,Anderson P. (1) Dalri,Alexandre B. (1) Faria,Rogério T. de (1) Lazarini,Edson (1) Negrisoli,Matheus M. (1) Palaretti,Luiz F. (1) Poloni,Nadia M. (1) Mais... Palavra-chave Bradyrhizobium sp. (1) Brix (1) Glycine max (L.) Merril (1) Herbicide (1) Sucrose (1) Technological quality (1) Trs (1) Mais... Tipo do documento Info:eu-repo/semantics/article (2) Ano 2019 (1) 2018 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Development of RR soybean in function of glyphosate doses and Bradyrhizobium inoculation AGRIAMBI Bossolani,João W.; Poloni,Nadia M.; Lazarini,Edson; Bettiol,João V. T.; Fischer Filho,João A.; Negrisoli,Matheus M.. ABSTRACT Soybean has traditionally been produced in systems that include the use of herbicides, often in higher than recommended doses. The process of symbiotic nitrogen fixation in legumes can be hampered by these herbicides, both by direct effects on rhizobia and indirect effects on the host plant. An outdoor experiment was performed to evaluate the effects of different doses of a glyphosate herbicide on Bradyrhizobium strains and biological nitrogen fixation in soybean BMX Potência RR plants. Soybean seeds were inoculated with Bradyrhizobium elkanii (SEMIA 5019) and Bradyrhizobium japonicum (SEMIA 5079) strains in a commercial liquid inoculant. The treatments consisted of the absence and presence of Bradyrhizobium genotypes inoculated via seed and four... Tipo: Info:eu-repo/semantics/article Palavras-chave: Bradyrhizobium sp.; Glycine max (L.) Merril; Herbicide. Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018001200854 Application of artificial neural networks in the prediction of sugarcane juice Pol AGRIAMBI Coelho,Anderson P.; Bettiol,João V. T.; Dalri,Alexandre B.; Fischer Filho,João A.; Faria,Rogério T. de; Palaretti,Luiz F.. ABSTRACT Innovative techniques that seek to minimize the costs of production and the laboriousness of certain operations are one of the great challenges in the sugar-energy sector nowadays. Thus, the objective of the present study was to estimate the Pol values ​​of sugarcane juice as a function of °Brix and wet cake weight (WCW) using artificial neural network (ANN) modeling. A database was organized consisting of 204 technological analyses from a field experiment with 15 treatments and 2 years of evaluation. 75% of the data were used for the calibration of the model and 25% for its validation. Multilayer Perceptron ANNs were used for calibration and validation of the data. Before calibration, the variables were normalized. The training algorithm used was... Tipo: Info:eu-repo/semantics/article Palavras-chave: Trs; Brix; Sucrose; Technological quality. Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000100009 Registros recuperados: 2 Primeira ... 1 ... Última

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