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| Flores Gallardo, Hilario. |
| El desarrollo de los cultivos depende principalmente de las condiciones ambientales que se presentan durante el ciclo fenológico de los cultivos y de las prácticas de manejo que se utilicen. Debido a lo anterior, la agricultura es el sector productivo más susceptible a la variabilidad climática y por lo tanto, al cambio climático. El cambio climático es atribuido a las actividades antropogénicas y durante los últimos años ha sido aceptado como un fenómeno real que representa una gran amenaza para la producción de alimentos. En el presente estudio se utilizó el modelo AquaCrop para simular el desarrollo y el rendimiento del cultivo de maíz (Zea mays L.) bajo condiciones climáticas actuales y bajo los escenarios de cambio climático A1B y A2. El modelo... |
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Palavras-chave: Adaptación; Rendimiento; Modelación de cultivos; Variabilidad climática; Adaptation; Climatic variability; Crop model; Yield; Maestría; Hidrociencias. |
| Ano: 2010 |
URL: http://hdl.handle.net/10521/334 |
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| Martini,Luiz Carlos Pittol. |
| Abstract: The objective of this work was to perform a sensitivity analysis of the main input parameters required for the AquaCrop water balance model, using biomass and grain yield data of a rainfed-simulated corn crop, obtained along the climate data series of 1987-2016 in the South of Brazil. The levels of soil-water stress and the depths of maximum effective rooting were the input parameters that most affected the biomass and grain yields simulated by the model, followed by the crop coefficient, water-use efficiency, soil water storage capacity, and contribution of groundwater to water availability in the root zone. The parameters crop cycle duration, plant density, pattern of soil-water extraction, and field surface practices showed little or no impact... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Calibration; Crop model; Drought; Simulation; Soil-water balance; Soil-water stress. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000800934 |
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| 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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| Martin, Thomas Newton; Universidade Federal de Santa Maria; Dourado Neto, Durval; Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo; Vieira Junior, Pedro Abel; Empresa Brasileira de Pesquisa Agropecuária; Pereira, Antonio Roberto; Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo; Manfron, Paulo Augusto; Universidade Federal de Santa Maria, Departamento de Fitotecnia; Christoffoleti, Pedro Jacob; Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo. |
| Despite the great importance of soybeans in Brazil, there have been few applications of soybean crop modeling on Brazilian conditions. Thus, the objective of this study was to use modified crop models to estimate the depleted and potential soybean crop yield in Brazil. The climatic variable data used in the modified simulation of the soybean crop models were temperature, insolation and rainfall. The data set was taken from 33 counties (28 Sao Paulo state counties, and 5 counties from other states that neighbor São Paulo). Among the models, modifications in the estimation of the leaf area of the soybean crop, which includes corrections for the temperature, shading, senescence, CO2, and biomass partition were proposed; also, the methods of input for the... |
| Tipo: Pesquisa, modelagem |
Palavras-chave: 5.01.00.00-9 leaf area index; Water balance; Crop model; Glycine max 5.01.03.00-8. |
| Ano: 2012 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/15274 |
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| Heinemann,Alexandre Bryan; van Oort,Pepijn A.J.; Fernandes,Diogo Simões; Maia,Aline de Holanda Nunes. |
| Crop models are ideally suited to quantify existing climatic risks. However, they require historic climate data as input. While daily temperature and rainfall data are often available, the lack of observed solar radiation (Rs) data severely limits site-specific crop modelling. The objective of this study was to estimate Rs based on air temperature solar radiation models and to quantify the propagation of errors in simulated radiation on several APSIM/ORYZA crop model seasonal outputs, yield, biomass, leaf area (LAI) and total accumulated solar radiation (SRA) during the crop cycle. The accuracy of the 5 models for estimated daily solar radiation was similar, and it was not substantially different among sites. For water limited environments (no irrigation),... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Crop model; Calibration; Upland rice. |
| Ano: 2012 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052012000400016 |
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