对高寒地区小麦残茬落叶在农田土壤的分解与土壤生物化学的动态关系进行了较系统的研究。结果表明：小麦残茬落叶分解的最大速率在7月(12.14×10-3g·g-1·d-1)，呈单峰曲线变化。14种土壤生物化学因素对小麦残茬落叶的分解和有机物质的转化既表现出明显的季节变化规律，又具有明显的阶段性作用特征。对小麦残茬落叶分解的灰色关联序为：x1(0.914)>x4(0.880)>x3(0.855)>x12(0.852)>x14(0.802)>x2(0.799)=x11(0.799)>x8(0.788)>x10(0.775)>x9(0.760)>x13(0.709)>x5(0.700)>x7(0.694)>x6(0.657)，并选择性地建立了小麦残茬落叶分解的GM(0,6)灰色预测模型：y(k)＝13.5x1(k)+23.75x4(k)-15.0x3(k)-16.5x12(k)-0.5x14(k)+5.0x2(k)-1.6
Systematic analysis of the relation between wheat residual decomposition and soil biochemistry factors in the heavy frigid region of North East China found the following: changes through time in the rate of wheat residual decomposition showed a distinct seasonal trend with a single peak, in July (12.14×10-3g·g-1·d-1). 14 soil biochemistry factors were observed and these also changed in a distinct seasonal pattern. A step effect was an obvious feature of the residual decomposition and soil organic matter synthesis. The grey correlative effects of the 14 soil biology chemistry factors on the wheat residual decomposition were arranged as follows: x1(0.914)>x4(0.880)>x3(0.855)>x12(0.852)>x14(0.802)>x2(0.799)=x11(0.799)>x8(0.788)>x10(0.775)>x9(0.760)>x13(0.709)>x5(0.700)>x7(0.694)>x6(0.657) This allowed the delimitation of the GM(0,6) predictive model: y(k)＝13.5x1(k)+23.75x4(k)-15.0x3(k)-16.5x12(k)-0.5x14(k)+5.0x2(k)-1.6
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