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作者	单位
徐寿军^1,2，杨恒山¹，郑根昌¹，许如根²，庄恒扬²	(1. 内蒙古民族大学农学院，内蒙古通辽 028042； 2. 扬州大学江苏省作物遗传生理重点试验室，江苏扬州 225009)

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中文摘要:

为给建立大麦产量品质形成预测模型奠定基础，通过定量分析不同品种和氮肥处理大麦干物质分配和转移的变化过程，建立大麦植株干物质分配动态模型。模型采用Richards方程描述大麦干物质分配指数的动态变化，引入叶片潜在分配指数、茎鞘潜在分配指数、籽粒潜在分配指数3个品种遗传参数反映不同品种在器官间的干物质分配差异；采用两段Richards方程来描述大麦茎鞘在灌浆期前后的干物质分配动态，较好地解决了两段方程的衔接问题；运用氮素影响因子来校正不同氮素水平对大麦干物质分配的影响，引入潜在临界含氮量和潜在最小含氮量2个品种遗传参数来表达氮素对不同品种干物质分配影响的差异。利用不同品种、氮肥、播期和种植地域试验数据检验模型。结果表明，大麦干物质在叶片、茎鞘、穗和籽粒间分配模拟值与观测值的绝对预测误差为0.001～0.252 kg·m^-2，RMSE为0.007～0.186 kg·m^-2，精度良好。模型体现出较好的可靠性。

英文摘要:

Based on time course observations on the dry matter partitioning and remobilization under varied nitrogen rates regimes with different cultivars, a dynamic model was developed to simulate the dry matter partitioning in barley . The latent partitioning index of leaf, stem and grain, which were the variety heredity parameters, were used to distinguish the difference of the dry matter partitioning in different variety. The dynamic content of the dry matter partitioning index could be described with a Richards model; The dynamic content of the dry matter partitioning of stem could be described with two Richards models, which solved connection well. The Nitrogen influence factor was used in the model. The latent critical nitrogen content and the latent smallest nitrogen content, which were the variety heredity parameters, were used to expresse the effect of nitrogen on the dry matter partitioning in different variety. The model was validated with independent experiment data. The results showed that the absolute prediction error ranges for the dry matter partitioning of leaf, stem, spike and grain were 0.001～0. 252 kg·m^-2, and RMSEs were 0.007～0.186 kg·m^-2.The present model appears to provide a reliable prediction.

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