回归设计应用于大豆化学除草配方最佳剂量的筛选初探

The Report of Using the Monadic Regression Method in Choosing the Best Dosage of Soybeau Herbicides

摘要:

本文对D－饱合设计法应用于大豆田化学除草剂混配最佳剂量的筛选进行了初步探索,并建立了拉索、丁草胺、广灭灵三种药剂用量与除草效果、杂草鲜重的数学模型,经X²与相关检验,模型的拟合度极好,具有推广价值。应用微机进行仿真模拟,获得了此三种除草剂混配应用于大豆田除草的最佳剂量为:(拉索87.7～128.7 mL+丁草胺108.7～138.8 mL+广灭灵50.1～63.1 mL)/667 m²。

Abstract:

In this paper, it is reported to use the D-saturation design method in choosing the best dosage of Soybean herbicides.The mathematical models is established within the dosage of Alachor, Butachlor,Clomazone and the weeding effect,the fresh weight of weeds.Tested with chi-square and corretation, the models have a good reliability, and can be popularized.Imituted by computer, It’s conluted that the best dosage is (Alachlor 87.7~128.7 mL + Butachor 108.7-138.8 mL + Clomazone 50.1~63.1 mL)/667 m².