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以2个多元二次回归正交旋转组合设计为基础,实行分段设计,以越冬茎数为中试因子,将2个设计有机结合,建立起八因素对高产小麦产量综合影响的二次回归组合数学模型,从而使以较少的处理对较多的因素进行研究成为可能。在数学模型的应用上除对各试验因子的单因素效应和交互效应进行分析外,尚可进行综合决策和分段决策,即根据不同播期和不同苗情进行播种措施决策和因苗管理决策。通过决策指出,随播期推迟基本苗应逐渐增加,底氮与底钾用量应逐渐减少,底磷用量相应增加;随冬前茎数的增加,追肥期应推迟,追氮量相应增加。
Based on the combination of two multiple quadratic regression orthogonal rotation design, the segmented design was implemented. Taking the number of wintering stems as the pilot factor, the two designs were combined organically to establish the quadratic regression of the comprehensive effect of eight factors on the yield of high-yield wheat Combining mathematical models makes it possible to study more factors with less processing. In addition to the analysis of the single-factor effects and interaction effects of each experimental factor in the application of the mathematical model, comprehensive decision-making and segment decision-making are still possible, that is, sowing decision and seedling management decision-making according to different sowing dates and different seedlings . According to the decision-making, the basic seedling should be gradually increased with the delay of sowing date, the content of bottom nitrogen and bottom potassium should be gradually decreased and the amount of bottom phosphorus increased correspondingly. With the increase of stem number before winter, the top-dressing period should be postponed and the amount of topdressing nitrogen should be correspondingly increased.