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Using an active sensor to make in-season nitrogen recommendations for corn

机译:使用活性传感器制作玉米季节的氮气建议

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An active crop canopy reflectance sensor could increase N-use efficiency in corn (Zea mays L.), if temporal and spatial variability in soil N availability and plant demand are adequately accounted for with an in-season application. Our objective was to evaluate the success of using an active sensor for making N recommendations to corn. Seven increments of in-season N fertiliser (0 to 280 kg/ha) were applied to corn at each of 15 sites during two years. These sites were selected to represent the cornproduction regions of east central and southeastern Pennsylvania, conditions typical in the US A mid-Atlantic region. Canopy reflectance in the 590 nm and 880 nm wavelengths, soil samples, and above-ground biomass were collected at the 6th-7th-leaf growth stage (V6-V7). Relative Green Normalised Difference Vegetation Index (GNDVI_(relative)) was determined, as GNDVI(ON) / GNDVI(280 kg N/ha applied at planting). Grain yield was determined at harvest. Economic Optimum N Rate (EONR) was determined using aquadratic-plateau yield response function. Observations from the current study were compared to relationships between EONR and GNDVI_(relative) or the presidedress NO_3 test (PSNT) that were developed in an earlier study, based on an absolute mean difference (AMD) between observed EONR and the previously determined predicted relationships. The AMD for the EONR and GNDVI_(relative) relationship from the current study was 62.9 kg N/ha. The same measure of AMD was 75.0 kg N/ha for the relationship betweenEONR and PSNT. GNDVI_(relative_ captured similar information as the PSNT, as reflected in a strong relationship (R~2=0.57) between these two measurements. Above-ground biomass at V6-V7 was correlated with PSNT (R~2=0.38), and GNDVI_(relative) was dependent on above-ground biomass (R~2=0.51). While the PSNT has been considered one of the best methods for making N recommendations to corn in Pennsylvania, GNDVI_(relative) provided as good or better an indicator of EONR as PSNT, and provides an opportunityto easily adjust in-season N applications spatially.
机译:有源作物冠层反射传感器可以增加玉米(Zea Mays L.)中的N用效率,如果土壤N可用性和植物需求的时间和空间可变性有充分的应用,则为季节性应用。我们的目标是评估使用活跃传感器的成功,以使N建议玉米。在两年内将季节季节肥料(0至280kg / ha)的七个增量施用于玉米玉米。这些网站被选中以代表东部中央和东南部和东南部的山茱萸区域,美国中大西洋中部地区的典型条件。在第6-7叶生长阶段(V6-V7)收集590nm和880nm波长,土壤样品和地上生物质中的冠层反射率。测定相对绿色归一化差异植被指数(GNDVI_(相对)),如GNDVI(上)/ GNDVI(在种植时施用280kg n / ha)。在收获时测定谷物产量。经济最佳N速率(EONR)使用AQUADRATIC-PLATEAT RESAIN响应函数确定。将来自当前研究的观察与EONR和GNDVI_(相对)之间的关系进行比较,基于观察到的EONR与先前确定的预测关系之间的绝对平均差异(AMD),基于先前研究中开发的PREDIDress NO_3测试(PSNT)之间的关系。来自当前研究的EONR和GNDVI_(相对)关系的AMD为62.9公斤N / HA。相同的AMD测量为75.0 kg n / ha,适用于关系,合适局的关系和psnt。 GNDVI_(相对_捕获与PSNT类似的信息,如在这两项测量之间的强关系(R〜2 = 0.57)中反映。V6-V7的上面的地面生物量与PSNT(R〜2 = 0.38)相关,GNDVI_ (相对)依赖于地面生物质(R〜2 = 0.51)。虽然PSNT被认为是将N建议对宾夕法尼亚州的玉米建造的最佳方法之一,但是提供了良好或更好的指标的GNDVI_(相对) EON作为PSNT,并提供机会在空间上轻松调整季节季节应用。

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