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首页> 外文期刊>Journal of Agrometeorology >Simulation of maturity duration and productivity of two rice varieties under system of rice intensification using DSSAT v 4.5/CERES-Rice model
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Simulation of maturity duration and productivity of two rice varieties under system of rice intensification using DSSAT v 4.5/CERES-Rice model

机译：集约化系统下使用DSSAT v 4.5 / CERES-Rice模型模拟两个水稻品种的成熟期和生产力

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Crop growth models have been considered as potential tools for simulating growth and yield of crops. Hence, Decision Support System for Agro-technology Transfer/Crop Estimation through Resource and Environment Synthesis (DSSAT v 4.5/CERES-Rice) modelwas applied to the data recorded in two years (2008 and 2009). The field experiment included two rice varieties ('Pant Dhan 4' and 'Hybrid 6444') cultivated with system of rice intensification (SRI) method, under three irrigation schedules (irrigation at1, 3 and 5 day after disappearance of ponded water) and two planting spacings (20 cm x 20 cm and 25 cm x 25 cm). The model was calibrated using data of 2009 and validated with the data of 2008. For 'Pant Dhan 4' maturity was slightly under predicted (gap 2-6 days) by the model with an overall gap between observed and predicted values being 2%, during 2009. However, model predictions were closer (gap 1-2 days) during 2008. The predicted maturity of 'Hybrid 6444' was close to the observed one (gap 1 day)but it was over predicted for the year 2008. The model predicted the yield of both the varieties with fair accuracy. The overall gap between predicted and observed yield was 5% for 'Pant Dhan 4' and 11.4 % for 'Hybrid 6444'. Hence the model can be usedfor predicting maturity and yield of these rice varieties grown with SRI method.
机译：作物生长模型被认为是模拟作物生长和产量的潜在工具。因此，将通过资源和环境综合进行农业技术转让/作物估算的决策支持系统（DSSAT v 4.5 / CERES-Rice）模型应用于两年（2008年和2009年）记录的数据。田间试验包括两个水稻品种（'Pant Dhan 4'和'Hybrid 6444'），分别采用水稻强化系统（SRI）方法种植，在三个灌溉计划下（池塘水消失后的第1、3和5天灌溉）和两个种植间距（20厘米x 20厘米和25厘米x 25厘米）。该模型已使用2009年的数据进行了校准，并用2008年的数据进行了验证。对于“ Pant Dhan 4”，该模型的预测（间隔2-6天）略有欠缺，观测值和预测值之间的总体差距为2％， 2009年期间。但是，模型预测在2008年期间比较接近（间隔1-2天）。“混合6444”的预测成熟度接近观察到的间隔（间隔1天），但在2008年过高。准确预测了两个品种的产量。 “ Pant Dhan 4”的预测产量与观察到的产量之间的总体差距为5％，“ Hybrid 6444”的预测产量为11.4％。因此，该模型可用于预测这些用SRI方法种植的水稻品种的成熟度和产量。

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