利用多种抗源选育小麦远丰139的研究

为了选育持久抗耐多种病害的小麦核心抗病种质,以奥地利黑麦、中间偃麦草和野生二粒小麦为抗源,采用单交、复合杂交、回交、阶梯式杂交等多种组配方式,将基因逐步累加、聚合到一起。选育中以不丢失抗性基因为前提,以抗旱耐寒为适应性选择的基本标准。育成的小麦新品系远丰139半冬性,耐寒、抗旱,株型结构好,产量高,品质好。经西北农林科技大学植保系鉴定对条锈病免疫,对白粉病和叶枯病高抗,中抗赤霉病。经农业部谷物品质检测中心分析,品质达到国标精制级面条用小麦粉标准。2005年陕西省区试较对照小偃22增产5.6%。     

The Algorithm of Searching out the Least and Most Loops by Making Use of Direction Factor

Based upon the conception of the least loop,the most loop and direction factor presented by the author firstly,the algorithm of searching out the least and most loops has been designed.By building the adjoining matrix, confirming the start-point of searching,vectorizing the searching sides,calculating the direction factor of adjoining sides,we can search out the next side of the least loop or the most loop rapidly.With a valid searching side being confirmed at every searching and the searching scope being reduced by forming degenerate graph,the time compexity of the algorithm is much less. In the research of the automatic calculating system of construction quantities, the problem of houses partition and out-wall partition had been solved succesfully by utilizing this searching algorithm.     

稻谷固定床深层干燥的计算机模拟

针对稻谷固定床深层间歇干燥过程中的加热和缓苏两个阶段建立了数学模型，用C语言编制了相应的运算程序。用该模型计算了不同干燥介质温度和湿度、不同粮食初始含水率和温度条件下，不同层厚处稻谷的含水率和温度，计算结果与试验结果基本相符。     

基于虚拟仪器的农产品"身份证"数字识别系统

介绍了基于虚拟仪器图形化语言LABVIEW开发的农产品"身份证"数字识别系统,采用CCD摄像机对农产品"身份证"编号进行采集,通过PCI-1411彩色图像采集卡将图像传输到计算机并进行图像处理,最后应用美国NI公司的OCR软件包对处理好的编号进行识别.结果表明,该系统抗干扰能力强且精度高.     

泵站中钢筋混凝土梁加固的变形计算

基于试验研究资料的分析,对于大型泵站中具有合适锚固的CFRP片材加固受弯构件变形计算方法进行研究,认为加固梁的弯矩-曲率曲线符合三线型规律（混凝土开裂前,混凝土开裂后,受拉钢筋屈服后）.通过解析分析,得到试验梁在通常两点加载条件下的任一加载阶段的弯矩及变形计算公式,与相应条件试验梁的试验测试结果吻合,可为泵站工程设计规程的制定提供参考。     

可视化编程技术在发动机外特性曲线绘制中的应用

通过对汽车发动机外特性的理论分析,在处理汽车发动机外特性曲线时,建立了一种适合处理发动机外特性曲线的三次样条函数拟合的数学模型,在C Builder可视化开发平台上,编制了汽车发动机外特性曲线绘制程序.利用三次样条函数插值法对实验数据进行拟合,实现了发动机外特性曲线绘制的自动化.     

Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Intercropping, drip irrigation, and the use of plastic mulch are important management practices, which can, when utilized simultaneously, increase crop production and save irrigation water. Investigating soil water dynamics in the root zone of the intercropping field under such conditions is essential in order to understand the combined effects of these practices and to promote their wider use. However, not much work has been done to investigate soil water dynamics in the root zone of drip-irrigated, strip intercropping fields under plastic mulch. Three field experiments with different irrigation treatments (high T1, moderate T2, and low T3) were conducted to evaluate soil water contents (SWC) at different locations, for different irrigation treatments, and with respect to dripper lines and plants (corn and tomatoes). Experimental data were then used to calibrate the HYDRUS (2D/3D) model. Comparison between experimental data and model simulations showed that HYDRUS (2D/3D) described different irrigation events and SWC in the root zone well, with average relative errors of 10.8, 9.5, and 11.6 % for irrigation treatments T1, T2, and T3, respectively, and with corresponding root mean square errors of 0.043, 0.035, and 0.040 cm³ cm^?3, respectively. The results showed that the SWC in the shallow root zone (0–40 cm) was lower under non-mulched locations than under mulched locations, irrespective of the irrigation treatment, while no significant differences in the SWC were observed in the deeper root zone (40–100 cm). The SWC in the shallow root zone was significantly higher for the high irrigation treatment (T1) than for the low irrigation treatment, while, again, no differences were observed in the deeper root zone. Simulations of two-dimensional SWC distributions revealed that the low irrigation treatment (T3) produced serious severe water stress (with SWCs near the wilting point) in the 30–40 cm part of the root zone, and that using separate drip emitter lines for each crop is well suited for producing the optimal soil water distribution pattern in the root zone of the intercropping field. The results of this study can be very useful in designing an optimal irrigation plan for intercropped fields.     

Crop water requirements for rainfed and irrigated grain corn in China

A basic parametric crop water use model (WATER) that employes climatic and environmental data to calculate temporal and spatial water consumption for a variety of major corps was applied specifically for grain corn to the region of China and Korea to investigate the evapotranspiration (ET) demand on grain corn and the associated irrigation water applications necessary for optimal crop production. A network of 241 stations provided the seasonal climatic input. The climatic input consisted of data averaged over approximately a 20 year period. Among the results, highest ET under full irrigation (first harvest) occurred in the northwestern inland sections of China, whereas least ET was found for the southeast. Under rainfed conditions, the relationship became nearly inverse. In order to achieve optimum crop yields, about 1000 mm of irrigation water was needed in the northwest, contrasted with none required in the south and east of China. A sensitivity analysis was applied to determine the degree of error introduced by faulty or uncertain environmental input data.     

玉米中耕除草复合导航系统设计与试验

为了实现玉米中耕除草过程中的自动导航作业,提高自动除草的效率和准确性,设计了一种玉米中耕除草复合导航系统。系统由基于GNSS的农机自动导航部分和基于机器视觉的农具自动导航部分组成,可通过GNSS位置信息进行农机自动导航,同时根据摄像头获取的玉米作物行信息控制农具铲刀进行行间除草。对农机的转向控制部分和前轮转角检测部分进行了机械改装,以PLC和步进电机驱动器为基础设计了农机转向控制电路和农具液压控制电路;以横向偏差和横向偏差变化率作为模糊控制的输入变量设计了自适应模糊控制方法;采用摄像头获取玉米作物行,通过扫描滤波方法进行作物行检测。农机独立导航除草试验和农机具复合导航试验结果表明：在车速为0.6 m/s时,农机自动导航最大横向偏差为10.04 cm,平均偏差为4.62 cm;农机具复合导航时的最大偏差为6.35 cm,平均偏差为2.73 cm;农机具复合导航系统能较好地满足玉米中耕除草的要求。