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借助农田开放式空气CO2浓度增高(FACE)技术平台,以武香粳14为供试水稻品种,设置不同施N量处理,研究大气CO2浓度为570μmol·mol-1(比对照高200μmol·mol-1)的FACE处理对水稻茎蘖动态的影响,并建立了相应的模拟模型:Tt=1+Ae1a1-b1t-1+Aea22-b2t+C×1+Ba31-b3t-1+Be2a4-b4t+D.模型以时间为驱动因子,描述了水稻茎蘖数随移栽天数的动态变化过程,对常规及CO2浓度增加条件下水稻茎蘖的变化均有很好的拟合性.通过不同年份试验数据对模型的检验,预测根均方差(RMSE)最大为44·27个·m-2,最小为13·96个·m-2,且相关系数均达到了极显著水平.表明模型的预测程度较高,具有很好的适用性.
With the technology of open field CO2 enrichment (FACE), Wu Xiangjing 14 was used as tested rice varieties with different N application rates. Atmospheric CO2 concentration was 570 μmol · mol-1 (200 μmol · mol- 1) FACE treatment on tillering dynamics of rice, and established the corresponding simulation model: Tt = 1 + Ae1a1-b1t-1 + Aea22-b2t + C × 1 + Ba31-b3t-1 + Be2a4-b4t + D The model uses the time as the driving factor to describe the dynamic process of tillering number of rice with the days of transplanting and has good fitting to the changes of conventional rice stems and tillers with the increase of CO2 concentration.According to the test data of different years For the model test, the maximum root mean square error of prediction (RMSE) was 44.27 m-2 and the minimum was 13.96 m-2, and the correlation coefficients reached extremely significant levels, indicating that the prediction of the model was more significant High, with good applicability.