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首页> 外文期刊>Soil & Tillage Research >Yield variability related to landscape properties of a loamy soil in central Belgium.
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Yield variability related to landscape properties of a loamy soil in central Belgium.

机译:比利时中部壤土土壤景观特性的产量变异性。

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A field was investigated with precision farming techniques to delineate zones with different yield potential due to previous soil erosion. Winter wheat (Triticum aestivum L.) grain yield, straw yield, biomass and harvest index were measured with a combine harvester. Fuzzy clustering of grain and straw yield provided good delineation of zones in the field with different yield potential. Entropy and fuzziness calculations for different number of classes resulted in a division of the field into five clearly differentiated yield potential zones. Straw yield, biomass and harvest index were significantly different among zones. Grain yield was significantly different for all zones, except for two. Elevation and slope of the field were measured from a global positioning system (GPS) unit on the combine. Both were related to yield variability in the field. Average elevation, slope and soil type were calculated per cluster class. High grain yield, straw yield and biomass could be related to flat, high places in the field with little erosion. Good grain yield, low straw yield and high harvest index were found on relatively steep slopes subjected to erosion. High straw yield and low grain yield were found at low places in the field on relatively steep slopes. Lowest grain yield, straw yield and biomass were located on steepest slopes with high erosion and in depressions where accumulation of eroded soil took place and slumping and crusting of the soil were present. This information suggests that variable management on a site-specific basis would optimize yield and inputs..
机译:使用精密耕作技术研究了一个田地,以划定由于先前的土壤侵蚀而具有不同单产潜力的区域。用联合收割机测量了冬小麦(Triticum aestivum L.)的谷物产量,秸秆产量,生物量和收获指数。谷物和稻草产量的模糊聚类为田间不同产量潜力的区域提供了良好的轮廓。对不同类别的类别进行熵和模糊度计算,将田地分为五个明显不同的产量潜力区。不同地区的秸秆产量,生物量和收获指数差异显着。除两个区域外,所有区域的谷物产量均存在显着差异。从联合收割机上的全球定位系统(GPS)单元测量了场的高程和坡度。两者都与该领域的产量变异性有关。每个群集类别计算平均海拔,坡度和土壤类型。谷物高产,秸秆高产和生物量高可能与田间平坦,高位,侵蚀少有关。在遭受侵蚀的相对陡峭的斜坡上发现了良好的谷物产量,低秸秆产量和高收成指数。在相对陡坡的田地低处发现高秸秆产量和低谷物产量。最低的谷物产量,秸秆产量和生物量位于坡度高,侵蚀严重的地方和凹陷处,在这些凹陷处堆积了侵蚀的土壤,并出现了土壤的塌陷和结皮现象。这些信息表明,在特定地点进行变量管理可以优化产量和投入。

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