Determinants of groundnut rosette virus disease occurrence in Uganda

Groundnut rosette virus disease (GRVD) is the major constraint to groundnut (Arachis hypogaea) production in Uganda. It is principally transmitted by the groundnut aphid (Aphis craccivora Koch). The disease is known to cause total crop failure in cases where susceptible varieties are used. During any particular season, GRVD displays variations in incidence and severity in different agro-ecologies within the country, but the reasons for the varying disease patterns remain unclear. This study was aimed at establishing the factors influencing the occurrence of GRVD in Uganda. Trials were established for three seasons in four groundnut growing locations situated in different agro-ecologies in Uganda. Four groundnut genotypes were used as treatments in a randomized complete block design with four replications. Disease progress and aphid populations were assessed at 4, 8 and 12 weeks after planting. Data on environmental factors; particularly rainfall, temperature and wind speed were obtained from standard meteorological stations located at/near the study sites. Soil samples and yield data were also obtained in each season. The study revealed that disease incidence; severity and groundnut yields were significantly affected by season, location and genotype. The same applied to their three way interactions. Levels of disease infection were found to be majorly influenced by rainfall and wind speed. Disease incidence and severity were generally higher in conditions with less rainfall and low wind speeds. The Pearson's two tailed correlation between total rainfall and disease incidence for all trial sites was negative and highly significant (r = −0.280, P ≤ 0.01). The same was true for wind speed and disease incidence (r = −0.476, P ≤ 0.01). However, there was no conclusive trend between temperature and disease incidence with the Pearson's two tailed correlation showing significantly positive and negative trends depending on location.     

温度对住宅区气体污染物扩散的影响

温度在气体污染物扩散的过程中起一定的作用。在现实生活中,由于日晒和地表辐射的存在,使得地面、建筑物外表面都与空气存在一定的温差。温差的存在会改变地表及壁面附近的流场,从而对住宅区污染物的扩散产生影响。利用理论推导对热力因素及扩散因素的关系进行了研究,并且与数值模拟的试验结果进行比较。结果发现理论推导与试验结果整体趋势相一致。这表明在与无温差情况相比较,温差存在时,地表及壁面附近流场更加紊乱;温差与气体污染物的扩散具有正相关性,对住宅区污染物的稀释起积极作用。     

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WSN的油菜生长环境数据采集系统

针对传统作物生长环境数据获取手段实时性差、劳动强度大以及部署微型自动气象站和商用Zigbee产品成本高、开放性较差等问题，设计并实现了一种基于WSN的油菜生长环境数据采集系统。提出了轻量级的能量感知路由协议CLFP，并给出了软硬件的相关设计方法。仿真和大田试验结果表明，系统温度采集精度最高可达0.01 ℃，测湿精度达±5%，光强采集范围为1~65 535 lx，可并发的数据传输达到36路，可满足农业现场环境数据的较高测量要求。在标称电源供电情况下，系统实际有效生存周期超过142 d，由于采用AT89C51和nRF2401作为基础硬件平台，成本低廉，有助于大规模部署和应用。     

遮雨棚设施结构对枣园温湿度的影响

笔者以7年生-10年生壶瓶枣树为试材，研究了遮雨棚栽培与大田栽培条件下温湿度变化规律和差异。结果表明：遮雨棚在晴天高温时有降温的作用，而阴雨天温度较低时则有保温的作用；遮雨棚阻碍了水分蒸发，使得相同条件下棚内湿度高于棚外；雨后棚内与棚外温度变化趋势基本一致，棚外湿度变化剧烈，棚内较为缓和。     

Flash flood simulation and valve behavior of Mytilus galloprovincialis measured with Hall sensors

Mussels close their shell as a protective strategy and the quantification of this behavioral marker may represent an alarm signal when they are exposed to environmental stressors. In the present study, we investigated the ability of the Mediterranean mussel Mytilus galloprovincialis to recover and then the resilience or inertia of valve activity after a pulsing exposition to diverse levels of salinity (5, 10, 20, and 35 PSU as reference value). The trial simulated an event of drastic and sudden reduction of seawater salinity thus mimicking an event of flash flood from intense rain. Valve gaping and movements were measured in continuous cycle for 10 days using a customized magneto-electric device which uses Hall sensors. Results showed that under normal conditions of salinity (35 PSU), the general pattern of valve movements was a continuously open state with sporadic spikes indicating a closing motion. At salinity of 5, PSU mussels reacted by closing their valves, leading to a 77% mortality on the 4th day. At salinity of 10, PSU animals were observed with closed valves for the entire duration of the exposure and no mortality occurred, they showed a significant reduction in the valve activity once the reference value of salinity was re-established. In contrast, salinity of 20 PSU did not trigger a significant behavioral response. Interestingly, there no define rhythms of valve movements were recorded during salinity challenges.     

温度对紫色辣椒新品系YN 99007萌发及某些生理指标的影响

用6种温度(40、35、30、25、20、15℃)处理紫色辣椒新品系YN 99007进行发芽试验(以日本天鹰椒作为对照),研究各温度下的发芽率、发芽势、发芽指数、芽长、脯氨酸(Pro)含量、丙二醛(MDA)含量及质膜透性(PMP)等指标.结果表明:紫色辣椒YN 99007的发芽适宜温度范围为20～35℃,40℃和15℃下发芽优于对照品种;抗逆温生理特性亦优于对照品种.     

基于无线传感器网络的水质监测系统研究

针对国内外水质环境研究中水质样品异地监测分析存在的巨大缺陷,研究了水质自动监测系统。文章介绍了基于无线通讯传感器网络的简易水质自动监测系统,实现水质数据自动采集和实时上传,可以实现对钱塘江源头水质（衢州水质）进行更好的监测及保护。     

温度对绿豆芽苗菜产量和营养成分的影响

研究了不同温度对绿豆芽苗菜产量和营养成分的影响.结果表明:处理④绿豆芽苗菜生长速度最快且产量最高.其次是处理③,处理④与处理③的产量达显著差异,处理③、④与处理①、②的产量达极显著差异;营养成分中,Ve与胡萝卜素含量的大小是处理④＞处理③＞处理②、处理①;K+含量的大小是处理③＞处理④＞处理②=处理①.     

微热光电系统燃烧室内截面突变对燃烧的影响

微燃烧室是微热光电（MTPV）系统的重要组成部分。微燃烧室的外表面必须产生一个高而均匀的温度分布，以尽可能高地输出辐射能。通过对截面突变的微燃烧室的试验研究，得到了不同氢氧混合气流量、氢氧体积混合比下燃烧室内的燃烧状况，壁面和出口端面的温度分布。试验结果表明：采用截面突变的燃烧室能很好地控制火焰中心位置，获得稳定的外壁面温度分布规律，可以在截面突变处产生涡流，增强氢气和氧气的混合。