On-farm evaluation of an active optical sensor performance for variable nitrogen application in winter wheat

Winter wheat (Triticum aestivum L.) represents almost 50% of total cereal production in the European Union, accounting for approximately 25% of total mineral nitrogen (N) fertilizer applied to all crops. Currently, several active optical sensor (AOS) based systems for optimizing variable N fertilization are commercially available for a variety of crops, including wheat. To ensure successful adoption of these systems, definitive measurable benefits must be demonstrated. Nitrogen management strategies developed based on small-scale plot research are not always meaningful for large-scale farm conditions. In 2010–2012 (5 site-years) on-farm study was implemented in northern Poland utilizing a strip-trial design. The objective was to evaluate the performance of AOS in combination with a built-in algorithm for variable N rate fertilization. In this study, the reference uniform N rates (farmer’s practice) were comparable to optimum variable N rate recommendations. Side-by-side comparisons of uniform and variable N application revealed inconsistent benefits in terms of grain yield, grain protein content (GPC), N use and N use efficiency (NUE). Anticipated yield increases and/or reduced N rates are typical drivers for AOS adoption. Significant yield increases are not easily attained on farms with winter wheat yields already close to maximum yield potential. Thus, sensor-based variable N rate recommendations for fields previously fertilized with relatively low uniform N rates would often entail more appropriate allocation (redistribution) of the same amount of total N. This would minimize N surplus in areas of lower productivity and to improve the sustainability of N management overall.     

基于无线传感网络隧道亮度信号采集系统的研究

亮度信号是高速公路隧道节能照明控制系统必须检测的物理量。本文基于zigbee的技术特点，设计了一款基于无线传感网络的隧道亮度信号采集系统。系统的传感器节点负责亮度信号的采集，经CC2530处理发送，通过逐级跳转的方式把数据传输到协调器。协调器通过RS232串口与灯具控制器通信，以此实现对亮度信号的实时采集和可靠性传输。通过实验表明，该系统达到了设计的目的，并适用于高速公路隧道节能照明控制系统。     

西吉县农用地膜应用污染现状及对策

本文就西吉县农用地膜的应用现状和污染现状进行了分析,并就这一现状提出了促进旱作农业可持续发展的对策措施。     

大田土壤耕作层覆膜防渗灌溉栽培水稻研究

为了推广应用一种新的覆膜栽培水稻方法——覆膜防渗灌溉,对比分析了土壤耕作层覆膜防渗灌溉与常规灌溉条件下水稻的耗水量、水稻生长分蘖状况、水稻产量及土壤中氮磷钾营养元素的变化情况。结果表明,防渗灌溉能明显减少灌溉用水量,较常规灌溉节水9.54%。防渗灌溉可减少土壤中的肥力损失,能有效阻隔土壤中速效钾的淋溶损失。防渗灌溉与常规灌溉的耗水系数分别为711和786 kg/kg,灌耗比分别为0.5和0.6。防渗灌溉降低灌溉水在总耗水量中的比重,减少渗漏损失提高水分利用率。     

可食性酪蛋白膜在食品保鲜中的应用

为研究可食性酪蛋白膜对食品贮藏过程中油脂氧化和抗氧化能力的影响,以草莓、马铃薯、鸡胸肉为材料,研究不同可食性酪蛋白膜处理对其蛋白质含量、可溶性糖含量、抗坏血酸含量、过氧化值、TBA值和正己醛浓度的影响。结果表明,草莓涂膜组的蛋白质、可溶性糖、抗坏血酸含量最高,脂溶性涂膜组次之,水溶性涂膜组稍高于对照组;马铃薯涂膜组比对照组的氧化程度低;鸡胸肉涂膜与未涂膜样品感官明显不同,抗氧化作用明显。由此可知,酪蛋白涂膜液优于涂膜对食品的保鲜效果,脂溶性涂膜效果优于水溶性涂膜,涂膜食品保鲜技术具有较佳的抗氧化能力和抑菌效果,在一定程度上可延长货架期。     

微灌地膜的节水保墒增温效应研究

在实验基础上 ,分析论述了微灌地膜的节水效果和增温保墒效应。试验结果表明 ,微灌地膜可比地面灌溉节水 61 % ,增加地温 3℃～ 6℃ ,近地面空气相对湿度提高 3 0 %～ 40 % ,综合效应明显。可供微灌地膜或膜下微灌的进一步研究设计参考     

膜下滴灌棉花植株耗水率与土壤水分的关系

膜下滴灌技术不仅可减少地面水分蒸发 ,还可以避免深层渗漏。为了合理地确定膜下滴灌技术体系 ,以水量平衡原理为基础 ,对轻壤土、中壤土和重壤土进行不同土壤含水率处理 ,试验得出了棉花生育期植株耗水规律 ,以及棉花成铃数与生育期耗水量的对应关系。在不产生深层渗漏的条件下 ,土壤含水率越高 ,棉株耗水越大 ,但成铃数的增加有限。另外 ,观察到膜下滴灌棉花的根系主要吸水层在 60 cm土层深度以内     

Quantitative study on solid slag film’s crystallinity of mould fluxes by using DSC method

The method to determine the crystallinity of solid slag film is established by analyzing the DSC curve of solid slag film and corresponding quenched slag. The accuracy of the method is investigated by measurements of prepared samples whose crystallinity is given. In addition, the solid slag films of mold slags used to cast medium carbon steel and low carbon steel are obtained by heat flux simulator in laboratory, and the crystallinity of the two kinds of slag film are also measured by DSC method. Experimental results indicates that the crystallinity of solid slag film can be determined by comparing the crystallization enthalpy of solid slag film and corresponding quenched slag during heating process, and the relative error is within 5.03%. For medium carbon steel, the crystalline fraction of solid slag film is 88.6%, while the crystalline fraction of solid slag film corresponding to low carbon steel is 55.0%. The results are consistent with actual structure of solid slag films.     

CO 2与土壤水分交互作用的番茄光合速率预测模型

为了实现不同土壤水分管理下的CO 2气肥精细控制,建立了番茄作物不同生长阶段的光合速率预测模型。实验设置了4个CO 2浓度与3个土壤水分条件的交互处理,利用无线传感器网络长期实时监测温室内环境信息,采用LI-6400XT型光合速率仪定时采集作物净光合速率信息;并用BP神经网络分别建立了番茄苗期、花期和果期的光合速率预测模型。预测模型的验证结果表明,对于苗期预测模型,预测值与实测值之间的决定系数 R 2为0.925;花期预测模型的决定系数 R 2为0.920,果期预测模型的决定系数 R 2为0.958;番茄各生长期的光合速率预测模型均具有较高的预测精度。在不同土壤水分条件下改变CO 2浓度,得到的CO 2浓度与光合速率预测曲线与实测值相近,可反映实际土壤水分管理下的CO 2浓度最优值,对指导不同土壤水分条件下CO 2气肥的精细调控具有重要意义。