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Studies Of Sensitivity Of A Dynamic Model Of Grain Crop Productivity To Soil-hydrophysicalinformation

机译:粮食作物生产力动态模型对土壤水分物理信息的敏感性研究

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The relationship between a target function of a mathematical model of grain crop growth and development-yield-and variations in the soil and hydrophysical information expressed by variations in the soil water-retention function is considered. The function is approximated with a formula based on soil-hydrological constants. The soil profile in the model is represented by a three-layer structure. Each layer has its own agrohydrological characteristics: maximal hygroscopic moisture, wilting moisture, the least moisture capacity, and saturation moisture. The model AGROTOOL, identified from long-term data on field experiment at the Men'kovo experiment station of the Agrophysical Research Institute (the Leningrad region), is used to estimate the influence of variations in these sets on the barley and winter rye yield. It is demonstrated that the yield is most sensitive to variations in the least moisture capacity of the soil and has the least sensitivity to the change in the maximal hygroscopic moisture.
机译:考虑了谷物作物生长的数学模型的目标函数与发育-产量之间的关系,以及土壤中的变化以及由土壤保水函数中的变化表示的水物理信息。用基于土壤水文常数的公式来近似该函数。模型中的土壤剖面由三层结构表示。每层都有其自身的农业水文特性:最大的吸湿性水分,枯萎的水分,最小的水分吸收能力和饱和水分。从农业物理研究所(列宁格勒地区)Men'kovo实验站的田间试验的长期数据中识别出的AGROTOOL模型,用于估算这些变化对大麦和黑麦产量的影响。结果表明,产量对土壤最小含水量的变化最敏感,对最大吸湿性的变化最不敏感。

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