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International Fertiliser Society MEASUREMENT AND SENSING OF COVER CROP GROWTH AND NITROGEN CREDITS IN CONSERVATION AGRICULTURE

机译:国际肥料协会测量和覆盖作物生长和氮气积分的养护农业

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We studied cover crops in maize-based cropping systems in the agricultural plain areas of Northern Italy (Lombardia region),to:quantify the growth of winter cover crops,nitrogen uptake,weed control capacity,and nitrogen credits for maize;to test the possibility of sensing cover crop biomass and nitrogen (N) concentration using aerial images,and to estimate N concentration using near-infrared spectroscopy (NIRS);and to quantify cover crop cultivation costs.We set up six experiments to compare different cover crop species in rotation with maize.The experiments started in September 2017 and ended in August 2019.Cover crop growth in autumn was rapid for white mustard,tillage radish and black oat (which accumulated 1.5-3.0 t DM/ha until November),while legume cover crops (Egyptian clover,hairy vetch and purple vetch) had a lower crop growth rate (reaching 0.5-1.5 t DM/ha).Therefore,non-legume cover crops controlled weeds better compared to legume cover crops.Nitrogen uptake in autumn was highest for white mustard,tillage radish and hairy vetch (77-125 kg N/ha).Rye and black oat were intermediate,while Egyptian clover and purple vetch were lowest (35 kg N/ha).Rye and hairy vetch survived winter,while white mustard was always destroyed by winter frosts.We did not observe relevant effects of cover crops on maize yield and N uptake.In one experiment,we also established relationships between vegetation indices (NDVI,Normalised Difference Vegetation Index;and CIg,Chlorophyll Index) obtained with a multispectral digital camera carried by an Unmanned Aerial Vehicle and cover crop biomass and nitrogen concentration.Increasing biomass above about 1 and 2 t DM/ha for NDVI and CIg,respectively,did not correspond to increasing values of the indices,thus reducing their predictive capacity.A new index (calculated using measured crop height) improved the predictions of cover crop biomass substantially (R2 = 0.64-0.86).Cover crop nitrogen concentration was poorly predicted by the vegetation indices.We finally scanned cover crops with two NIR instruments,and used the spectra for chemometric elaborations (Partial Least Squares regression).Predictions of N concentrations on spectra of fresh materials were rather poor,while dried and ground samples provided better results (R2 = 0.86 for the bench instrument,and 0.70 for the portable instrument).Locally Weighted Regression further improved the R~2 (0.90 and 0.84,respectively).Cultivation costs ranged between 112 €/ha for white mustard (a winterkilled species that does not require termination and has a low seed cost) and 208 €/ha for rye (winter-hardy,with more expensive seed).
机译:我们研究覆盖作物玉米,总部设在意大利北部(伦巴第大区)的农业平原地区种植制度,做到:量化冬季覆盖作物,氮的吸收,杂草控制能力和氮信贷的增长对玉米;测试的可能性使用航空图像感测覆盖作物的生物量和氮(N)的浓度,并使用近红外光谱法(NIRS)估计N浓度;并量化盖作物种植costs.We设立六个实验,以比较在旋转不同覆盖作物物种与maize.The实验在2017年9月开始,在秋季八月2019.Cover作物生长结束了快速白芥菜,萝卜耕作和黑色燕麦(其中积累1.5-3.0牛逼DM /公顷至十一月),而豆类覆盖作物(埃及苜蓿,毛苕子和紫野豌豆)有较低的作物生长率(达到0.5-1.5吨DM /公顷)。因此,非豆科覆盖作物控制的杂草更好相比,在秋季豆科盖crops.Nitrogen摄取喜ghest为白芥,萝卜耕作和毛苕子(77-125公斤/公顷).Rye和黑色燕麦是中间,而埃及三叶草和紫野豌豆含量最低(35公斤/公顷).Rye和毛苕子存活冬季,而白芥总是被冬季frosts.We破坏没有观察到覆盖作物的玉米产量和氮肥uptake.In一个实验相关的影响,我们还建立了植被指数(NDVI,归一化植被指数之间的关系;和CIG,叶绿素指数)与由无人驾驶飞行器和覆盖作物的生物量和氮concentration.Increasing生物质进行上述多光谱数字照相机获得的约1和2吨DM /公顷NDVI和CIG分别没有对应于指数的增加的值,从而减少其预测capacity.A新索引(使用测得的作物高度计算)改进的盖作物生物质的预测基本(R2 = 0.64-0.86)设备罩起来作物氮浓度差由vegetat预测离子indices.We最后扫描覆盖作物具有两个近红外设备,以及用于化学计量学阐述光谱(偏最小二乘回归)的新鲜材料的光谱氮浓度的.Predictions是比较差,而干燥和研磨的样品提供了更好的结果(R2 = 0.86的台式仪器,和0.70便携式仪器).Locally加权回归进一步提高R〜2(0.90和0.84,分别地).Cultivation成本112介于€/公顷为白芥(即不一个winterkilled物种需要终止并具有低种子成本)和208€/公顷黑麦(耐寒,更昂贵的种子)。

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