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饱和 D——最优设计最初用于工业的优化试验研究,近年来逐步用于农业。该法最突出的优点是处理数少,中心点(即农作物高产措施方案)附近信息比较丰富,这是其它设计方法所不及的。用该法进行农业试验,可配置精度较高的栽培措施与作物产量间的多项式回归方程,通过多年多点试验,可建立农作物高产栽培的数学模型,为科学
Saturated D - Optimal Design Initially used in industrial optimization experiments, and gradually used in agriculture in recent years. The most prominent advantage of this method is that the number of treatments is small and the information near the center (that is, the program of high crop yield measures) is abundant, which is beyond the reach of other design methods. Using this method for agricultural experiments, we can configure the polynomial regression equation between cultivation measures and crop yield with high precision. Through years of multi-point experiments, we can establish a mathematical model of crop high-yield cultivation,