模糊综合评价方法在棉花稀植栽培施肥技术中的应用  

Fuzzy Synthetic Evaluation for Fertilization Application of Cotton under Sparse Planting Condition

作　　者：张军[1] 王一鸣[1] 侯家林[1] 董乔雪[1] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083

出　　处：《农机化研究》2006年第9期174-176,179,共4页Journal of Agricultural Mechanization Research

基　　金：国家863"生物和现代农业技术"领域"数字农业技术研究与示范"重大专项课题(2003AA209020)

摘　　要：在大田2.4万株/hm2的稀植栽培条件下,对采用相同的氮磷钾配比、4个不同水平氮磷钾施用量组合处理的冀棉25,应用多因素模糊综合评价方法,从铃数、棉铃质量、衣分、子指、衣指及子棉经济系数等6个产量性状分析了不同施肥处理对棉花成铃时空分布(时间上分为:伏前桃、伏桃、早秋桃、秋桃;空间上分为:下内、下外、中内、中外、上内、上外)的影响,明确了一组最优的施肥措施。结果表明:模糊综合评价方法评价施肥措施,能全面地反映出各种方式的优劣,将其用于评价棉花农艺措施优劣上是切实可行的。Jiman25 was planted under sparse planting condition （24000 plants per hectare） with 4 fertilizer rates and same N：P：K ratio. By selecting suitable membership function, the multi-factor fuzzy synthetic evaluation method is adopted to evaluate the effect of different fertilization practices on boll physiological characters of yield and pinpoint optimal fertilization for cotton. Based on their time-space-attributes, bolls are divided into four forming-time categories which are bolls before 15, July; bolls between 16, July to 15, August; bolls between 16, August to 30, August; and bolls after August 31 and six spatial categories which are low-inside, low-outside, middle-inside, middle-outside, high-inside, and high-outside, respectively. Evaluation factors set for each category of bolls consists of six character coefficients （boll number, boll weight, lint percent, seed index, lint index and seed cotton economic coefficients of single plant）. The results show that fuzzy synthetic evaluation is feasible to optimize agronomy performances.

关 键 词：农作物 棉花施肥措施 应用 模糊综合评价 隶属度函数 稀植栽培 

分 类 号：S562[农业科学—作物学]