Fuzzy Synthetic Evaluation for Fertilization Application of Cotton under Sparse Planting Condition
Dong Qiaoxue · Journal of Agricultural Mechanization Research · 2006
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.