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Extended logistic model of forage grass response to applied nitrogen as affected by soil erosion

机译:饲草对土壤侵蚀对氮素响应的扩展逻辑模型

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摘要

Mathematical models can be used to evaluate crop response to management factors such as applied nutrients, water availability, and tillage. The extended logistic model has proven particularly useful for this purpose. In this article, we use this model to link annual dry matter yield and plant nitrogen uptake to applied nitrogen for bahiagrass (Paspalum notatum Flugge) and bermudagrass (Cynodon dactylon L. Pers.) as affected by past soil erosion. The model describes response curves and phase relationships rather well for Pensacola and Tifton 9 bahiagrasses and Tifton 44 bermudagrass. Analysis showed that 60 kg N ha(-1) is required to raise dry matter production of the severely eroded soil up to that of the non-eroded soil, while 70 kg N ha(-1) is required to make plant N uptake equivalent for the two cases. Soil erosion has the effect of reducing N availability. We conclude that the ratio of minimum to maximum plant N concentration is the same for the three grasses and two soil conditions. The model accounts for the effect of soil erosion on forage production.
机译:数学模型可用于评估农作物对管理因素的响应,例如施用的养分,水分和耕作。事实证明,扩展后勤模型对此特别有用。在本文中,我们使用该模型将受过去土壤侵蚀影响的Bahiagrass(Paspalum notatum Flugge)和百慕大草(Cynodon dactylon L. Pers。)的年度干物质产量和植物氮吸收与施氮量联系起来。该模型很好地描述了Pensacola和Tifton 9 bahiagrasses和Tifton 44百慕大草的响应曲线和相位关系。分析表明,需要60 kg N ha(-1)才能将严重侵蚀土壤的干物质产量提高到非侵蚀土壤,而需要70 kg N ha(-1)才能使植物吸收氮对于两种情况。水土流失会降低氮素的利用率。我们得出结论,在三种草和两种土壤条件下,植物氮的最低浓度与最高浓度之比相同。该模型考虑了土壤侵蚀对牧草生产的影响。

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