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小麦产量和品质形成的模拟模型研究
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摘要
本文参考了国内外对小麦生长发育、产量和品质形成的研究,利用2001~2002两年度全国小麦品质生态研究河北试验区试验数据,构建了小麦产量和品质形成的计算机模拟模型。本模型包括天气数据模型;氮素吸收、分配与品质形成模型;子粒产量形成模型;碳素(碳水化合物)物质分配模型;光合物质生产模型;叶面积指数动态模型和小麦主茎叶龄发育动态模型共七个子模型。
     天气数据模型包括记录资料输入和自动生成两个可选择的数据录入方式。对于气象资料完整的地区,本模型支持实际气象资料的输入;自动生成系统借鉴了美国加州大学耿旭的天气数据生成系统,能够自动生成模型运行所要求的全部气象数据。氮素吸收、分配与品质形成模型考虑了土壤氮素和基因型差异对小麦氮素吸收、分配与品质形成的影响,描述了土壤氮素的变化动态,模拟了氮素在小麦一生中各个器官间的分配动态、氮素循环情况及对小麦子粒品质形成的影响。引入了潜在最大含氮量的概念作为品种参数以调节不同品种与氮素吸收、分配的关系,建立了氮素再分配因子与氮素影响因子的关系。子粒产量形成模型和碳素物质分配模型没有考虑小麦各器官的形态和数量的变化,以小麦碳素(碳水化合物)分配为主线,引入分配指数模拟小麦各器官的碳水化合物变化动态。碳水化合物分配按照小麦净同化物累积量优先供应生长中心的原则,以不同分配指数为基础,有序地向各器官中分配。引入了生理发育时间的概念,采用恒定的生理尺度来模拟小麦生育进程。本模型给出了计算生理发育时间的一种简单直观的方法,增加了模型的适用程度。光合物质生产模型中引入了温度、氮素、CO_2影响因子修正实际光合速率。叶面积指数动态模型引入了比叶重的概念,进一步量化了模型。
     模型的有效性检验和灵敏性分析表明,本模型能较好地预测地上部各器官干重、含氮量、产量及子粒蛋白质含量,而且各预测值对不同基因型和环境条件敏感。
Many external and internal studies on the growth, development, yield and grain quality formation of wheat were referenced in this paper. On the basis of ecophysiological processes and yield-quality formation, A dynamic computer simulation model of wheat was established from the data of contractive experiment of varieties regional trails at Agricultural University of Hebei during 2001-2002 and 2002-2003. The model was consisted of seven submodels: weather data; nitrogen assimilation, partition and quality formation;; photosynthetic biomass production; leaf area index; main shoot leaf age.
    The weather data submodel comprises two parts. To the region that has data completely, this model support actual data input, otherwise, it can automatic generation. The automatic generation system was expressed from David J Connor's weather data generator at Melbourne University. With Soil nitrogen, environmental factors and genotype difference considered, the nitrogen assimilation, partition and quality formation submodel simulated the dynamic partition, cycle and recycle of nitrogen in different organs of wheat. The submodel also simulated the affecting of nitrogen on the grain quality formation of wheat. The maximum nitrogen content was used to regulate the difference of assimilation and partition of nitrogen among different genotypes as genetic parameter. The relationship of nitrogen repartition factor and nitrogen impact factor were Established. On the basis of carbon partition, partitioning index was used to simulate the changes of carbon in wheat organs in the yield formation submodel and carbon parti
    tion submodel. And, this submodel did not simulate the quantity and modality of wheat organs. Accumulation of net photosynthetic rate was distributed to organs by their respective partitioning index, and the growth center must be first. Physiological development time was used to simulate growth and development processes of wheat and it unified the physiological time scale for different genotype. A simple and easy way to calculate the
    
    
    
    physiological development time was given in this paper. Temperature, nitrogen and CO2 was considered in photosynthetic matter production submodel.
    Test of validity and sensitive analysis of the model with a number of experiment data showed that the model can predict the organ weight, nitrogen content, yield and grain protein content the model was sensitive to the genotype and environmental factors, the results showed that this model had good predication and explanation.
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