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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
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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
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Performance of pressure-compensating emitters using treated sewage effluent for irrigation AGRIAMBI
Fischer Filho,João A.; Oliveira,Vinicius M. R. de; Dalri,Alexandre B.; Zanini,José R..
ABSTRACT This study aimed to evaluate the flow variation of pressure-compensating emitters using treated sewage effluent (TSE). A drip irrigation system with four types of pressure-compensating emitters (G1 - Naan Dan Jain Model Top Drip, G2 - Naan Dan Jain Model Naan PC, G3 - Drip-Plan, G4 - Naan Dan Jain Model Naan Amnon) was installed with TSE from the sewage treatment station, filtered through a disc filter (120 mesh). Seven evaluations of flow rate of the drippers were performed (0, 100, 200, 300, 400, 500 and 600 h of operation) operating at 100 kPa. The experimental design was completely randomized in a 4 x 7 factorial arrangement (4 models and 7 times) with four replicates and Tukey test to compare the means. The relative flow rate (Qr), flow rate...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Wastewater; Trickle irrigation; Clogging; Water saving.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662016001000869
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Calibration and evaluation of the DSSAT/Canegro model for sugarcane cultivars under irrigation managements AGRIAMBI
Coelho,Anderson P.; Dalri,Alexandre B.; Fischer Filho,João A.; Faria,Rogério T. de; Silva,Laércio S.; Gomes,Romário P..
ABSTRACT Model calibration is a fundamental factor to obtain high accuracy in the estimation of crop growth and yield. This study aimed to parameterize the genetic and ecotype coefficients of the DSSAT/Canegro model for five sugarcane cultivars kept under three water managements, besides evaluating the accuracy of the model in predicting sugarcane stalk yield, sugar yield and height. Experimental field data were obtained from two years (2016 and 2017) of cultivation at FCAV/Universidade Estadual Paulista, Jaboticabal, SP, Brazil. The cultivars were maintained under supplementary irrigation, deficit irrigation and no irrigation. Data of the supplementary irrigation treatment (without stress) were used for the parameterization of each cultivar. Model...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Sacharum spp.; Crop model; Parameterization; Yield.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662020000100052
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