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水氮胁迫对冬小麦籽粒灌浆速率影响的模拟研究
引用本文:陈昱利,杨平,巩法江,毕海滨,高明慧,齐贵,李华伟. 水氮胁迫对冬小麦籽粒灌浆速率影响的模拟研究[J]. 中国农学通报, 2020, 36(10): 8-12. DOI: 10.11924/j.issn.1000-6850.casb18120113
作者姓名:陈昱利  杨平  巩法江  毕海滨  高明慧  齐贵  李华伟
作者单位:淄博市农业科学研究院,山东淄博 255033;山东省农业科学院作物研究所,济南 250100
基金项目:国家重点研发计划项目“山东冬小麦产量与效率层次差异形成机制与丰产增效途径”(2016YFD0300105-5);山东省重大科技创新工程“小 麦品质全产业链提升关键技术与示范”(2018YFJH0602)
摘    要:为定量分析水氮胁迫对冬小麦籽粒灌浆速率的影响,以‘济麦22’为材料,于2016—2017和2017—2018年度开展施氮试验。结合2017—2018年度试验资料,通过分析水氮胁迫对冬小麦籽粒灌浆速率的影响规律,引入氮素和水分影响因子,构建水氮胁迫对冬小麦籽粒灌浆速率影响的模拟模型S(j,t)=S(W3N300,t)×(1+FN)×(1+FW)。经2016—2017年小麦生长数据检验,除绝对误差占实测值比率dap略高外,RMSE值、平均绝对误差da以及相关系数r均显示模拟值和实测值有较高的一致性,说明实测值与模拟值吻合程度较好,所建模型可较好模拟水氮胁迫对冬小麦籽粒灌浆速率的影响。

关 键 词:水氮胁迫  冬小麦  灌浆速率  模拟  
收稿时间:2018-12-27

Simulation of Grain Filling Rate of Winter Wheat Under Water and Nitrogen Stress
Yuli Chen,Ping Yang,Fajiang Gong,Haibin Bi,Minghui Gao,Gui Qi,Huawei Li. Simulation of Grain Filling Rate of Winter Wheat Under Water and Nitrogen Stress[J]. Chinese Agricultural Science Bulletin, 2020, 36(10): 8-12. DOI: 10.11924/j.issn.1000-6850.casb18120113
Authors:Yuli Chen  Ping Yang  Fajiang Gong  Haibin Bi  Minghui Gao  Gui Qi  Huawei Li
Affiliation:Zibo Academy of Agricultural Sciences, Zibo Shandong 255033;Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan 250100
Abstract:To quantitatively analyze the effects of water and nitrogen stress on winter wheat grain filling rate, we carried out field experiments in 2016-2017 and 2017-2018 growing seasons using winter wheat variety ‘Jimai 22’ under various water and nitrogen application levels. On the basis of experiment data collected in the 2017-2018 growing season, a simulation model of winter wheat grain filling rate under water and nitrogen stress was built by analyzing the influence rule of water and nitrogen stress on winter wheat grain filling rate, as well as introducing the water and nitrogen impact factors, and could be specifically described as: S(j,t)=S(W3N300,t)×(1+FN)×(1+FW). The model was then validated with an independent dataset collected in the 2016-2017 growing season. Except the ratio of mean absolute error (da) to the mean observation (dap), the root mean squared error (RMSE), mean absolute error (da), and correlation (r) all showed that the simulated values were well identical to the measured ones. The model can be used to simulate the effects of water and nitrogen stress on winter wheat growth and yield.
Keywords:water and nitrogen stress  winter wheat  grain filling rate  simulation  
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