渐近模型在优化花生种植密度上的应用

种植密度是影响作物生产效率的关键因素之一，因此将渐近模型（方程1）应用到阿根廷的花生种植密度决策中，试验采用2个品种（分别属于西班牙型和兰娜型），方式为3种行间距（分别为0.70m、0.50m和0.30m）和2种株间距（分别为0.06m和0.12m）的组合，株行距比值较低（介于0.1和0.4之间）。模型的适用范围取决于种植密度和相应的株行距比值。各方式的密度分别为12，17，24，28，33和56株/m^2，模型（方程1）恰当地描述了两个品种单产和密度之间的关系。由此模型我们可以得出花生最佳种植密度为25和30株/hm^2之间。再加大种植密度并不能取得更高的荚果产量和经济效益。

Use of Asymptotic Model to Obtain Optimum Plant Density in Peanut(Arachis hypogaea L.)

Optimum plant density affects the use efficiency of crops production factors. To define it on peanut in Argentina we applied asymptotic model (Eq. 1). Experimental sowing with two cultivars( Spanish and runner types ) was realized combining three inter row distances ( IRD: 0.70m, 0.50m and 0.30m) and two interplant distances (IPD: 0.06 and 0.12m). Rectangularity values (defined as IPD/IRD relation) were low (among 0.1 and 0.4); therefore, model fitting was made considering plant density corresponding to each rectangularity. They were 12, 17, 24, 28, 33 and 56 plant/m2. The model (Eq. 1) described appropriately the relations between W and P of both cultivars. Therefore, we used it to obtain optimum plant density for peanut crop and found between 25 and 30 plant/m2. Additional increase did not produce better pod yield and economical profit.