Determining corn nitrogen rates using multiple prediction models

Weather uncertainty and soil spatial variability impact nitrogen (N) cycling and corn (Zea mays L.) growth, making accurate N predictions a challenge. Field studies were conducted in Lansing, Michigan, to evaluate a computer model (i.e., Adapt-N), a preseason year-based model (i.e., maximum return to N [MRTN]), and a crop sensor model (i.e., active canopy sensor with algorithm) for recommending corn N rates. To determine site-specific economic optimum N rates (EONR), five N rates were also applied (0, 33%, 66%, 133%, and 166% of the suggested MRTN) as starter + sidedress (SD) at V4. In a wet year (i.e., 2015), Adapt-N increased V8 SD N rates 35 kg N ha^?1 relative to the MRTN V4 SD N application. Although the greater rate of N may have provided additional yield protection, no statistical yield differences were observed between the two models. The MRTN model increased partial factor productivity (PFP) 20% relative to Adapt-N. Limited expression of V8 corn N deficiency reduced crop sensor total N rates (21–56 kg N ha^?1) and yield (0.82–1.05 Mg ha^?1) relative to other models. In a drier year (i.e., 2016), N demand was reduced (EONR 64 kg N ha^?1 less than 2015), resulting in similar corn response to all three models. Despite differences in actual corn N rate recommendations, all three models resulted in similar economic net returns across study years.

Abbreviations: EONR, economic optimum nitrogen rate; MRTN, Maximum Return to Nitrogen; NUE, nitrogen-use efficiency; PFP, partial factor productivity; SBNRC, sensor-based nitrogen rate calculator; SD, side-dress     

滴灌下氮盐交互对加工番茄荧光特性及产量品质的影响

【目的】新疆有着全中国最大面积的盐碱地和加工番茄的种植基地。在新疆开展两年试验以研究加工番茄在氮盐交互下生长、生理、产量和品质的变化规律,获得适宜新疆盐碱地种植加工番茄的合理施氮量和土壤盐分范围,为新疆扩大加工番茄种植面积和合理施氮提供科学的理论依据及技术途径。【方法】试验于2017和2018年在石河子大学现代节水灌溉兵团重点实验基地进行,以当地主栽品种3166为试验材料,2017年试验共设置4个土壤含盐量水平：1.5、4.0、7.0和10.0 g·kg ^-1及4个氮素水平：201、166、131和96 kg·hm ^-2,2018年在2017年的基础上去除10.0 g·kg ^-1的土壤含盐量,增加5.0 g·kg ^-1的土壤含盐量和不施氮量处理。试验测定和分析加工番茄的荧光叶绿素参数、产量和品质指标。【结果】在氮盐交互下,加工番茄荧光参数及产量等指标均呈现出复杂的变化规律。绝大多数的荧光参数及产量受土壤盐分的主导作用较氮素强,在同等氮素水平下,7.0 g·kg ^-1和10.0 g·kg ^-1的土壤盐分对加工番茄荧光指标抑制程度最大;低盐分水平下,166 kg·hm ^-2的中等偏高的施氮量对加工番茄的荧光指标促进作用最大,其次是施氮201 kg·hm ^-2的处理;在中等偏高的盐分水平下,96 kg·hm ^-2的低氮对加工番茄的最好,其次为不施氮水平。加工番茄的鲜果产量总体上符合“盐高产低”的规律,但低氮高盐处理的产量明显高于其他同盐度的氮素水平下的产量。可溶性固形物、VC、可溶性糖和可滴定酸均随着土壤含盐量的增大逐渐增大,糖酸比的最大值均出现在低盐处理,盐分对加工番茄品质的影响远高于氮素,二者交互对加工番茄的品质并无显著性影响。通过图形叠加分析方法,得出了加工番茄获得相对最优产量和品质的合理施氮范围和土壤含盐量区间。【结论】在盐碱程度偏高的土壤可通过少施氮素来提高加工番茄产量;加工番茄获得相对最优产量和品质的合理施氮范围和土壤含盐量区间为N：98.12—119.60 kg·hm ^-2,S：3.57—5.58 g·kg ^-1。     

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。     

Response of labile organic C and N pools to plastic film removal from semiarid farmland soil

To examine the effects of plastic film removal on grain yield and soil organic matter (SOM), a spring maize (Zea may L.) field experiment was conducted for 5 yr at Changwu Agricultural and Ecological Experimental Station of Northwest China. Compared with traditional plastic film mulching during entire growing stages (FM), plastic film removal at the silking stage (RM) resulted in a 6.3% higher average maize yield. Under the RM treatment, soil organic carbon and total nitrogen significantly increased after the 5‐yr cultivation in the 0‐ to 20‐cm layer. Significant increases in extractable organic C (EOC), KMnO₄‐oxidizable C (KMnO₄‐C) and C management index (CMI) in the 0‐ to 20‐cm layer, and light fraction organic C and EOC in the 20‐ to 40‐cm layer were observed in response to plastic film removal after the 1‐yr treatment; the responses were more significant after 5 yr. Under the RM treatment, significant increases in microbial biomass C, light fraction organic N, extractable organic N, KMnO₄‐C and CMI were also observed after five years in the 20‐ to 40‐cm layer. Moreover, KMnO₄‐C and EOC were much more sensitive than other labile SOM fractions to the application of RM, even after only 1 yr of cultivation. Therefore, compared with mulching for the whole growing season, plastic film removal at the maize silking stage is an effective option for increasing yields and enhancing SOM concentration and soil sustainability in the regions with semiarid monsoon climates that have sufficient rainfall during maize reproductive stages.     

覆膜对宁南山区马铃薯光合特性和产量的影响

以青薯9号原种为材料，采用大田单因素随机区组设计，以不覆膜为对照，研究了覆盖黑膜和白膜对马铃薯光合特性、荧光参数、干物质积累以及产量的影响。结果表明：与不覆膜相比，覆膜条件下马铃薯净光合速率提高0.4~3.0个百分点，气孔导度和胞间CO₂浓度平均增加31.45%和6.58%，Fv/Fm、Fv/Fo、PI分别提高了2.47%、12.18%、20.93%；蒸腾速率在马铃薯生育前期覆膜比不覆膜降低20.82%，而后期却比对照增加8.55%，热耗散量子比率Fo/Fm覆膜较不覆膜处理降低7.11%，差异达显著水平；覆膜比不覆膜处理条件下马铃薯干物质积累量增加0.25~1.86个百分点，大薯率和中薯率分别增加33.78%，15.73%，每公顷产量增加43.08%，其中黑膜处理的各项指标优于白膜，黑膜比白膜和不覆膜增产16.86%、54.20%，差异达显著水平。因此，覆膜处理可以显著提高马铃薯的光合性能、荧光参数和产量，有效缓解干旱等逆境引起的马铃薯的衰老，减轻干旱对马铃薯的危害。在宁南山区，马铃薯采用黑色地膜覆盖栽培技术具有延缓叶片衰老和增加产量的作用。     

张家口宣化地区双膜覆盖西瓜栽培技术

以张家口宣化地区万亩的西瓜种植基地为研究对象,分析了当地一百多年以来西瓜种植技术演化改进后的种植方式,包括西瓜自根苗连作的栽培方式及双膜覆盖西瓜套种茄子的经济效益,肯定了这种西瓜栽培方式在当地继续发展和推广的价值。     

农业种植养殖传感器产业发展分析

传感器技术是智慧农业建设中的一项关键技术,目前我国农业传感器的应用存在诸多问题,严重制约着农业产业化的进一步发展。本文对比了国内外农业物联网技术应用与集成的现状,并提出了相应的发展策略,最终提出了关于农业种植养殖产业的未来研究重点与发展方向的观点。     

甘蔗横向种植机补种系统设计与试验

针对甘蔗横向种植机在种植过程中出现的漏播问题,设计了一套基于51单片机的甘蔗实时补种系统。通过对充种、储种、供种、护种及投种过程进行运动学和动力学的仿真分析,确定了影响补种效果的主要因素,设计了补种系统的关键部件。该系统采用AT89C52单片机、3套对射型激光传感器分别对漏种、补种箱和储蔗槽中蔗种余量不足的情况进行信号采集,进行漏种计数显示和实现蔗种余量不足时的报警,步进电机作为动力源,驱动辊耙转动完成补种过程。选取行进速度和补种辊槽数为试验因素,以补种成功率和重置率为补种性能指标,进行了二因素五水平的正交旋转组合试验。结果表明,行进速度对补种成功率的影响极显著,补种辊槽数对补种成功率的影响极显著;利用Excel软件进行了二次回归方程分析,得出当行进速度为3 km/h、补种辊槽数为10个时,补种成功率达到93.97%,重置率为1.69%。设计的实时补种系统性能稳定可靠,解决了播种器工作过程中的漏种问题。     

Measuring biogeochemical heterogeneity at the micro scale in soils and sediments

Steep physiochemical gradients and diffusive limitation associated with microscale features such as cracks and pores make soil and sediments remarkably heterogeneous environments, which is reflected on many environmentally important processes. If we are to understand and attempt to control the ecology of the microorganisms which inhabit these environments we must not only characterize their inhabitants, but also the complex biogeochemical landscape they live in. This includes local concentrations of electron acceptors and donors, microbial metabolites and key physical and chemical parameters such as pH and soil structure.To this end, an array of techniques for collecting data at the microscale has been developed, deployed and refined, ranging from microsensor probes to planar sensors. This review provides a general reference for and a critical comparison of microscale techniques available to the fields of soil and sediment microbial ecology. Techniques are evaluated based on their ability to provide spatially resolved data at the microscale, with focus on performance characteristics, potential for repeated measurements, degree of physical disruption they create, and accessibility.Microscale studies have given us many insights, but we outline further progress needed to make the microscale toolkit more accessible and to extend the range of analytes that can be measured simultaneously, so that we may expand our knowledge of the complex environmental microscale heterogeneity and its impact on soil and sediment ecology and functioning.