论文部分内容阅读
采用五因素五水平二次回归正交旋转组合设计,对影响油菜产量的播期、密度、施氮肥量、施磷肥量和施钾肥量5个因子关系进行了定量研究,建立了油菜产量对5个栽培因子反应的数学模型,并对模型进行了检验和解析。结果表明,模型极为显著,与实际相吻合,5项栽培因子对油菜产量存在显著或极显著影响。在该试验条件下,5个因子的作用大小顺序:施氮肥量>密度>播期>施磷肥量>施钾肥量。并对模型进行模拟寻优,优选出单产在2250kg/hm2以上的最优综合农艺措施组合方案:播期9月13日~9月16日,密度16.5~18.3万株/hm2。肥料施用量:尿素484.5~514.5kg/hm2,过磷酸钙801~852kg/hm2,氯化钾136.5~164.25kg/hm2。经1年的实践检验,验证了该模型符合实际生产,取得明显的经济效益
Five factors and five levels of quadratic regression orthogonal rotation combination design was used to quantitatively study the relationship between sowing date, planting density, nitrogen fertilizer amount, phosphorus fertilizer amount and potassium fertilizer amount that affect rapeseed yield. A cultivation factor response mathematical model, and the model was tested and analyzed. The results showed that the model was extremely significant and consistent with the actual situation. There were significant or extremely significant effects of five cultivation factors on the yield of rapeseed. Under the experimental conditions, the order of the five factors was: the amount of nitrogen fertilizer> the density> the sowing date> the amount of phosphate fertilizer> the amount of potassium fertilizer. The optimal combination of agronomic measures with a yield of more than 2250kg / hm2 was selected. The sowing date ranged from September 13 to September 16, and the density ranged from 16.5 to 183,000 plants / hm2. Fertilizer application rates: urea 484.5 ~ 514.5kg / hm2, superphosphate 801 ~ 852kg / hm2, potassium chloride 136.5 ~ 164.25kg / hm2. After one year of practice, it is verified that the model is in line with the actual production and achieves obvious economic benefits