摘要
采用4因素5水平旋转回归正交组合设计,研究了江淮地区小麦播期、密度、氮、磷肥4因素的综合效应,并建立以籽粒产量、蛋白质含量为目标函数的数学模型,通过计算机模拟寻优,筛选出小麦品种肖农12,亩产350公斤,籽粒蛋白质含量12%,较经济的综合农艺措施为:10月20—23日播种;基本苗15—16万/亩;施纯氮11.8—13.3公斤/亩;五氧化二磷5.4—7.3公斤/亩。
This paper deals with the study on the synthetical effect of 4 factors (seeding date, density, N-fertilizer and P-fertilizer) in Jiang Huai Arae by applying the design of the 4 factors and 5 levels rotational regression orthogonal combination. Based on the data of a field experiment, mathematical modelings about the relationship between. 4 cultivating measures and grain yield as well as protein content were set up By computer simulation, economical comprehensive farming measures for the 350 kg yield per mu and 12% protein content were chosen with the cultivar 'Xiao Nong 12' to be seeding date from 20th to 23rd October; density at 150 to 160 thousand per mu; amount of N-fertilizer and P-fertilizer at 11.8 to 13.3 kg Per mu and 5.4 to 7.3 kg per mu, respectively.
关键词
小麦
栽培
农艺措施
数学模型
High yield
Good quality
Comprehensive farming measures
Mathematical model
Computer simulating selection.
