玉米适宜密度与播种量确定动态知识模型

A Dynamic Knowledge Model for Suitable Population Density and Sowing Rates in Maize

运用系统分析原理和数学建模技术,根据不同的地力水平按照不同的原则确定玉米适宜种植密度-高地力田块"以光定株"、中低地力田块"以产定株,"在此基础上,应用相对权重法计算土壤理化环境、播种质量和整地质量等多个生态环境因子对出苗率的综合影响,进而确定适宜播种量。从而构建了基于作物——环境关系、可适用于不同时空环境不同地力水平和产量目标的玉米适宜密度和播种量确定知识模型。模型验证利用北京、济南和沈阳不同生态点常年气象资料、不同品种资料和土壤资料对模型进行了模拟分析,并结合试验对其进行了验证,结果表明该模型具有较好的决策性和实用性。

Applying systematic analysis theory and mathematic modeling technology,based on different soil fertility,using different principal to decide suitable density of maize-planting density decided by solar illumination intensity in high soil fertility and by target yield in midst and low soil fertility, then the suitable sowing rates were confirmed by quantifying the effect of many ecological factors such as soil mechanical and chemical traits,sowing and planting quality to seedling emergcnca rate and so on.Consequentiy,a spatial and temporal knowledge model based on relationship of crop and environment was developed for design of suitable planting density and sowing rates in eom under different environments,soil fertility level and target yield.Cases were studied on the model with data sets of different eco-sites, three typical cultivars,soil characteristics and necessary experiments,the results indicated that the model had a good decision-making and strong- practicability.