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目前所采用的取样方法具有很好的可操作性和组织性 ,但其结果对过高地估测田间每一作物带的相关值非常敏感。同时 ,其结果不能随作物不同组合和时间的变化而改变 ,限制了其方法在不同的土地利用类型和种植制度上的应用。为了克服这些弱点 ,本研究采用随机选点的方法 ,将固定测点变为田间随机测点 ,测定随机点控制范围的参数。记录测点作物带的名称非常重要 ,因为在统计分析时将根据该作物在田间的权重来计算参数值。 2 0个测点能代表一个作物带进行标准差分析 ,因此建议每一地块 4 0测点。分析证明可将测定间隔时间从现在的一个星期延长到两个星期 ,但应增加一次作物收获前的测定
The sampling methods currently used have good operability and organization, but the results are very sensitive to overestimation of the correlation values of each crop band in the field. At the same time, the results can not be changed with different combinations and time of crops, which limits its application in different land use types and planting systems. In order to overcome these weaknesses, this study adopted a random selection method, which changed the fixed measuring point to a random measuring point in the field and determined the parameters of the control range of random points. It is important to record the name of the zone at the point of measurement because the parameter values are calculated based on the weight of the crop in the field during statistical analysis. 20 measuring points can represent a crop band for standard deviation analysis, it is recommended that each block 40 measuring points. Analysis has shown that it is possible to extend the measurement interval from the current one week to two weeks, but a pre-harvest measurement should be added