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Cassava nitrogen requirements in Thailand and crop simulation model predictions.

机译:泰国的木薯氮需求量和作物模拟模型的预测。

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摘要

While cassava is an important crop in diverse regions of Thailand, little information is available to compare sites, select planting dates, and determine nitrogen (N) requirements. In recent years, the Decision Support System for Agrotechnology Transfer (DSSAT) has been used to develop this information. In order to use DSSAT, the cassava model, namely, CSM-CSCRP-Cassava, needs to be calibrated and validated. A cassava response to nitrogen study was conducted in Thailand during the 2011-2012 growing season. The data were also utilized to calibrate the DSSAT cassava model on cultivar Kasetsart 50. The model could be calibrated to predict the first branching date at 116 days, when it actually occurred at 117 days after planting. The overall average top dry weight and dry root yield were 7.39 and 15.69 t [BULLET OPERATOR] ha-1, which were predicted with a root mean square error of 0.496 and 0.702, respectively. Maximum leaf area index, leaf N (%), and harvested root N (%) were also adequately simulated. Validation experiments were conducted at the diverse Lopburi, Supanburi, and Chonburi sites. Top dry weight and dry root yield were predicted with indexes of agreement of 0.86 and 0.95 in Lopburi, 0.82 and 0.95 in Supanburi, and 0.83 and 0.55 in Chonburi. Nitrogen requirements for maximum yield were overpredicted by the model, indicating additional work is needed to account for negative effects of excessive N. Effects of regional weather conditions and soil types appeared to be adequately predicted by the calibrated model. Improved planting dates were suggested with the calibrated model.
机译:虽然木薯是泰国不同地区的重要农作物,但很少有信息可用来比较地点,选择播种日期和确定氮(N)需求。近年来,农业技术转让决策支持系统(DSSAT)已用于开发此信息。为了使用DSSAT,需要对木薯模型(即CSM-CSCRP-木薯)进行校准和验证。 2011-2012年生长期在泰国进行了木薯对氮的反应研究。该数据还用于校准品种Kasetsart 50上的DSSAT木薯模型。可以对模型进行校准,以预测第一个分支日期为116天,而实际发生在种植后的117天。总体平均最高干重和干根产量分别为7.39和15.69 t [BULLET OPERATOR] ha -1 ,预测的均方根误差分别为0.496和0.702。还充分模拟了最大叶面积指数,叶氮(%)和收获的根氮(%)。在不同的华富里,素攀武里和春武里府遗址进行了验证实验。华富里(Lopburi)的一致性指数为0.86和0.95,素邦布里(Supanburi)的一致性指数为0.82和0.95,而春武里(Chonburi)的一致性指数为最高。该模型高估了氮素对最大产量的需求,表明需要额外的工作来解决过量氮的负面影响。校准模型似乎可以充分预测区域天气条件和土壤类型的影响。校准模型建议改善播种期。

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