干旱胁迫下油菜栽培模拟优化决策系统(Rape-CSODS)的订正及其检验
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摘要
利用江苏省兴化市、安徽省天长市2014—2017年大田和盆栽油菜的水分胁迫控制试验资料,明确了受干旱胁迫影响的4类变量(油菜净光合速率、叶面积系数、比叶面积和物质分配系数),进而建立了上述变量的变化百分比与不同土壤相对湿度差(干旱胁迫下油菜田土壤相对湿度与水分适宜的油菜田土壤相对湿度的差值)之间的统计方程式;利用上述方程式对油菜栽培模拟优化决策系统(Rape-CSODS)中相关机理模型进行了改进;以干旱胁迫下油菜全生育期和最终产量的模拟结果为例,检验了Rape-CSODS的改进效果。结果显示,在模型改进前油菜生育期模拟值的标准根均方差(NRMSE)、绝对平均误差(MAE)和一致性系数(Io A)分别为0.010 29、2.130 00和0.999 97,模型改进后分别为0.004 89、1.000 00和0.999 99,相关系数从0. 71提高到0. 88;模型改进前油菜产量模拟值的NRMSE、MAE和Io A分别为0.105 61、20.610 00和0.997 50,模型改进后分别为0.042 40、7.437 50和0.999 50,相关系数从0. 52提高到0. 95。表明经改进的Rape-CSODS对油菜干旱有较好的模拟能力,能应用于区域化油菜生产。
Based on the data of water stress control of field and potted rape in Xinghua city,Jiangsu province and Tianchang city,Anhui province,the four types of variables( net photosynthetic rate,leaf area index,specific leaf area and dry matter partition coefficient) affected by drought stress were identified,and the statistical equations were established between the above variables of percentage change and the soil relative humidity difference( difference of relative soil moisture between rape field under drought stress and rape field under water suitable condition). The related mechanism model of rape cultivation simulation optimization decision system( Rape-CSODS) was improved by using the above equation. The improvement effect of Rape-CSODS was tested by using the simulation results of the growth duration and the final yield of rape during drought stress. The results showed that the normalized root mean square error( NRMSE),mean absolute error( MAE) and index of agreement( IoA) of the simulated values of rape growth period were 0.010 29, 2.130 00 and0.999 97,respectively,before the model improvement,the NRMSE,MAE and IoA were 0.004 89,1.000 00 and0.999 99,respectively,after the model improvement,and the correlation coefficient increased from 0. 71 to 0. 88.The NRMSE,MAE and IoA of rape yield simulation value were 0.105 61,20.610 00 and 0.997 50,respectively,before the model improvement,the NRMSE,MAE and IoA were 0.042 40,7.437 50 and 0.999 50,respectively,after the model improvement,and the correlation coefficient increased from 0. 52 to 0. 95. Indicating that the improved Rape-CSODS has good simulation ability for rape drought and can be applied to regional rape production.
Based on the data of water stress control of field and potted rape in Xinghua city,Jiangsu province and Tianchang city,Anhui province,the four types of variables( net photosynthetic rate,leaf area index,specific leaf area and dry matter partition coefficient) affected by drought stress were identified,and the statistical equations were established between the above variables of percentage change and the soil relative humidity difference( difference of relative soil moisture between rape field under drought stress and rape field under water suitable condition). The related mechanism model of rape cultivation simulation optimization decision system( Rape-CSODS) was improved by using the above equation. The improvement effect of Rape-CSODS was tested by using the simulation results of the growth duration and the final yield of rape during drought stress. The results showed that the normalized root mean square error( NRMSE),mean absolute error( MAE) and index of agreement( IoA) of the simulated values of rape growth period were 0.010 29, 2.130 00 and0.999 97,respectively,before the model improvement,the NRMSE,MAE and IoA were 0.004 89,1.000 00 and0.999 99,respectively,after the model improvement,and the correlation coefficient increased from 0. 71 to 0. 88.The NRMSE,MAE and IoA of rape yield simulation value were 0.105 61,20.610 00 and 0.997 50,respectively,before the model improvement,the NRMSE,MAE and IoA were 0.042 40,7.437 50 and 0.999 50,respectively,after the model improvement,and the correlation coefficient increased from 0. 52 to 0. 95. Indicating that the improved Rape-CSODS has good simulation ability for rape drought and can be applied to regional rape production.
引文
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[11]葛道阔,曹宏鑫,张利华,等. WCSODS中小麦生育期模型在研究区域旱涝胁迫环境下的改进[J].江苏农业学报,2012,28(4):722-727.
[12]葛道阔,曹宏鑫,张利华,等.基于干旱涝渍胁迫的WCSODS模型订正与检验[J].江苏农业学报,2013,29(3):490-495.
[13]金之庆,石春林.江淮平原小麦渍害预警系统(WWWS)[J].作物学报,2006,32(10):1458-1465.
[14]葛道阔,曹宏鑫,夏礼如,等.苏北农田林网对稻田小气候及油菜光合作用和产量的影响[J].江苏农业学报,2009,25(5):945-951.
[15]葛道阔,曹宏鑫,杨余旺,等.基于WCSODS的小麦旱涝灾损区域化监测与精细化评估[J].江苏农业学报,2017,33(5):1062-1068.
[16]岳延滨,朱艳,曹宏鑫.基于几何参数模型和Open GL的油菜角果可视化研究[J].江苏农业科学,2011(1):438-440.
[17]岳延滨,朱艳,曹宏鑫.基于几何参数模型和OpenGL的油菜花朵可视化研究[J].江苏农业学报,2011,27(2):264-270.
[18]张文宇,张伟欣,葛道阔,等.基于生物量的油菜叶曲线模型[J].江苏农业学报,2014,30(6):1259-1266.
[19]曹宏鑫,杨太明,蒋跃林,等.花期渍害胁迫下冬油菜生长及产量模拟研究[J].中国农业科技导报,2015,17(1):137-145.
[20]张伟欣,曹宏鑫,朱艳,等.基于生物量的油菜越冬前植株叶片空间形态结构模型[J].作物学报,2015,41(2):318-328.
[21] JANSSEN P H M,HEUBERGER P S C. Calibration of process-o-riented models[J]. Ecological Modeling,1995,83:55-66.
[22]苏本营,宋艳霞,陈圣宾,等.大豆幼苗对套作玉米遮荫环境的光合生理生态响应[J].生态学报,2015,35(10):3298-3308.
[23]马玉平,孙琳丽,马晓群.黄淮海地区夏玉米对干旱和涝渍的生理生态反应[J].干旱地区农业研究,2016,34(4):85-93.
[24]谷艳芳,丁圣彦,高志英,等.干旱胁迫下冬小麦光合产物分配格局及其与产量的关系[J].生态学报,2010,30(5):1167-1173.
[25]高亮之,金之庆,黄耀,等.水稻栽培计算机模拟优化决策系统[M].北京:中国农业科技出版社,1992:21-40.
[26]高亮之,金之庆,郑国清,等.小麦栽培模拟优化决策系统(WCSODS)[J].江苏农业学报,2000,16(2):65-72.
[27]曹宏鑫,张春雷,李光明,等.油菜生长发育模拟模型研究[J].作物学报,2006,32(10):1530-1536.
[28]官春云,王国槐,赵均田.油菜生态特性研究1.油菜(Brassicanapus L.)对温度和日长反应的初步研究[J].作物学报,1985,11(2):115-120.
[29]冯利平,高亮之,金之庆,等.小麦发育期动态模拟模型的研究[J].作物学报,1997,23(4):418-424.
[30]石春林,冯慧慧,金之庆,等.水稻发育期模型的比较[J].中国水稻科学,2010,24(3):303-308.
[2]金之庆,石春林,葛道阔,等.基于RCSODS的直播油菜精确施氮模拟模型研究[J].作物学报,2003,29(3):353-359.
[3]王晓燕,龙庆海,丁同华,等.沿海地区小麦计算机模拟优化决策系统(WCSODS)的应用探讨[J].上海农业科技,2004(2):43-44.
[4]郭九林,张丽萍,周振宇.水稻计算机模拟优化决策系统(RC-SODS)在抛秧稻上的应用与评价[J].农业网络信息,2005(4):56-59.
[5]马新明,张娟娟,刘合兵,等.小麦生长模型(WCSODS)在河南省的适应性评价研究[J].中国农业科学,2006,39(9):1789-1795.
[6]席运官,钦佩,丁公辉,等.基于RCSODS的有机水稻栽培施肥管理与效果分析[J].上海农业学报,2007,23(2):28-33.
[7]陈家金,徐宗焕,林晶,等.基于RCSODS的东南沿海水稻施肥量决策[J].中国农业气象,2008,29(1):71-74.
[8]马新明,张娟娟,刘合兵,等.基于氮素胁迫的WCSODS模型订正与检验[J].中国农业科学,2008,41(2):391-396.
[9]赵巧丽,郑国清,胡峰,等.基于WCSODS和MCSODS的后茬夏玉米品种选择[J].江苏农业科学,2010(4):82-83.
[10]曹宏鑫,葛道阔,赵锁劳,等.对计算机模拟在作物生长发育研究中应用的评价[J].麦类作物学报,2010,30(1):183-187.
[11]葛道阔,曹宏鑫,张利华,等. WCSODS中小麦生育期模型在研究区域旱涝胁迫环境下的改进[J].江苏农业学报,2012,28(4):722-727.
[12]葛道阔,曹宏鑫,张利华,等.基于干旱涝渍胁迫的WCSODS模型订正与检验[J].江苏农业学报,2013,29(3):490-495.
[13]金之庆,石春林.江淮平原小麦渍害预警系统(WWWS)[J].作物学报,2006,32(10):1458-1465.
[14]葛道阔,曹宏鑫,夏礼如,等.苏北农田林网对稻田小气候及油菜光合作用和产量的影响[J].江苏农业学报,2009,25(5):945-951.
[15]葛道阔,曹宏鑫,杨余旺,等.基于WCSODS的小麦旱涝灾损区域化监测与精细化评估[J].江苏农业学报,2017,33(5):1062-1068.
[16]岳延滨,朱艳,曹宏鑫.基于几何参数模型和Open GL的油菜角果可视化研究[J].江苏农业科学,2011(1):438-440.
[17]岳延滨,朱艳,曹宏鑫.基于几何参数模型和OpenGL的油菜花朵可视化研究[J].江苏农业学报,2011,27(2):264-270.
[18]张文宇,张伟欣,葛道阔,等.基于生物量的油菜叶曲线模型[J].江苏农业学报,2014,30(6):1259-1266.
[19]曹宏鑫,杨太明,蒋跃林,等.花期渍害胁迫下冬油菜生长及产量模拟研究[J].中国农业科技导报,2015,17(1):137-145.
[20]张伟欣,曹宏鑫,朱艳,等.基于生物量的油菜越冬前植株叶片空间形态结构模型[J].作物学报,2015,41(2):318-328.
[21] JANSSEN P H M,HEUBERGER P S C. Calibration of process-o-riented models[J]. Ecological Modeling,1995,83:55-66.
[22]苏本营,宋艳霞,陈圣宾,等.大豆幼苗对套作玉米遮荫环境的光合生理生态响应[J].生态学报,2015,35(10):3298-3308.
[23]马玉平,孙琳丽,马晓群.黄淮海地区夏玉米对干旱和涝渍的生理生态反应[J].干旱地区农业研究,2016,34(4):85-93.
[24]谷艳芳,丁圣彦,高志英,等.干旱胁迫下冬小麦光合产物分配格局及其与产量的关系[J].生态学报,2010,30(5):1167-1173.
[25]高亮之,金之庆,黄耀,等.水稻栽培计算机模拟优化决策系统[M].北京:中国农业科技出版社,1992:21-40.
[26]高亮之,金之庆,郑国清,等.小麦栽培模拟优化决策系统(WCSODS)[J].江苏农业学报,2000,16(2):65-72.
[27]曹宏鑫,张春雷,李光明,等.油菜生长发育模拟模型研究[J].作物学报,2006,32(10):1530-1536.
[28]官春云,王国槐,赵均田.油菜生态特性研究1.油菜(Brassicanapus L.)对温度和日长反应的初步研究[J].作物学报,1985,11(2):115-120.
[29]冯利平,高亮之,金之庆,等.小麦发育期动态模拟模型的研究[J].作物学报,1997,23(4):418-424.
[30]石春林,冯慧慧,金之庆,等.水稻发育期模型的比较[J].中国水稻科学,2010,24(3):303-308.