Technique Index System Of Fertilizatation On Rice In HuNan Province

Hunan Province is one of the national agricultural province. The rice in hunan province is the main food crop. The fertilizer technology index system of rice in Hunan Province can provide reliable theory basis for rice fertilization and has important theoretical and practical significance for improving rice production situation and the yield of rice.The "3415" data of the whole Hunan Province and Xiangbei, Xiangzhong and Xiangnan in the year 2006 and 2007 was statisticed in EXCEL. Fertilizer effect model was established by the analysis of the relationship of the soil nutrients and the yield, the largest and economic fertilizer of rice in different index systems was get. The results show that:(1) Soil nutrient levels of various ecological regionsThe law of regional distribution of soil nutrients on rice as follows:Available N is mainly in the low-middle levels (besides mid-season rice in Xiangzhong,mid-season rice in Xiangnan,late-season rice in Xiangnan).Available P is mainly in the middle-high levels (besides mid-season rice in Xiangzhong,late-season rice in Xiangzhong).Available K is mainly in the middle-high levels (besides early-season rice in Xiangzhong,mid-season rice in Xiangzhong).(2) Fertilizer of different index systemsFertilizer on different rice existed that ralation that" late-season rice< early-season rice <mid-season rice". There is a positive correlativity between soil nutrient and target yield. The relationship of Foundation yield and fertilizer is opposite. NPK elements existed "P<K< N" relations. Among fertilize of early-season rice,mid-season rice and late-season rice in different regions, there are certain differences but the difference is less.(3) Yield-increasing effect and fertilizer requirement of different soil typesYield-increasing effect and fertilizer requirement of different soil types is different. Just for early-season rice, Yield-increasing effect of N in the Qingni field is the highest, while Huihuang mud is in the worst, requirement of N in Huihuang mud is at least, while Huangni field is the most. Yield-increasing effect of P in the Honghuang mud is the highest, while Hesha mud is in the worst, requirement of P in Hesha mud is at least, while Qingni field is the most. Yield-increasing effect of K in the Huangni field is the highest, while Huihuang mud is in the worst, requirement of K in Honghuang mud is at least, while Huihuang mud is the most.Just for mid-season rice, Yield-increasing effect of N in the Huangsha mud is the highest, while sallow mud is in the worst, requirement of N in Hesha mud is at least, while Honghuang mud is the most. Yield-increasing effect of P in the Huangsha mud is the highest, while Huangni field is in the worst, requirement of P in Hesha mud is at least, while Huini field is the most. Yield-increasing effect of K in the Hesha mud is the highest, while Huihuang field is in the worst, requirement of K in Huangni field is at least, while Huini field is the most.Just for late-season rice, Yield-increasing effect of N in the Qingni field is the highest, while sallow mud is in the worst, requirement of N in Huangni field is at least, while Hesha mud is the most. Yield-increasing effect of P in the Qingni field is the highest, while Hesha mud is in the worst, requirement of P in Hesha mud is at least, while Qingni field is the most. Yield-increasing effect of K in the Huangni field is the highest, while Qingni field is in the worst, requirement of K in Hesha mud is at least, while Huangsha mud is the most.(4) The contrast of fertilizer effect model and yield prediction modelThrough the contrast of the different fertilizer effect model, the results from a factor secondary fertilizer effect model was more practical. In the rice yield prediction model, the yield in deficient N area as a basis, which compared no fertilizer production area as the output based yield, was more effective in yield prediction.