中小果型无籽西瓜新品种博帅的选育

博帅系湖南博达隆科技发展有限公司以9048为母本、M-2为父本杂交育成的中小果型黄瓤无籽西瓜新品种。该品种全生育期90d左右,雌花开放至果实成熟约需27d。植株生长势中强,抗病抗逆性强。果实短椭圆形,果形指数1.2。果皮浅绿底覆绿色齿条带,厚度0.9cm,硬韧,耐贮运。瓤色鲜黄,质脆爽口,纤维少,无籽性能好;中心可溶性固形物12%～13%,边部9%～9.5%。单果质量4kg左右,667m2产量2700kg左右。适应性广,全国各地均可栽培。2009年3月通过湖南省农作物品种审定委员会审定,审定编号:湘审西瓜2009002。     

Effects of water table management on soil salinity and alfalfa yield in a semi-arid climate

A lysimeter experiment was conducted to investigate the effect of water table management (WTM) on distribution of soil salinity and annual alfalfa (Medicago scutellata) yield. Subirrigations with three levels of water table namely, 0.5 (WT0.5), 0.7 (WT0.7), and 1.0 m (WT1.0) and a free drainage (FD) conventional irrigation treatment were selected for this study. All treatments were arranged in a complete randomized block design with three replicates. The results of this study indicated that the average soil electrical conductivity of the saturated extract (ECe) in the root zone gradually increased and exceeded the designated crop threshold value (4 dS/m) after the first forage harvest in subirrigated lysimeters. A higher salt accumulation was observed at the WT0.5 treatment. The average dry matter yield of annual alfalfa in WT0.5 and WT0.7 treatments was found to be 52 and 73% higher compared with the control treatment, respectively.     

食用油反式脂肪酸傅里叶红外光谱重组检测技术

以食用油、反式脂肪酸标样及矿物精油为试验材料,采用傅里叶红外光谱重组(SR-FTIR)技术检测食用油中反式脂肪酸含量,并与标准红外分析方法(SB-ATR-FTIR法)进行比较.结果表明:SR-FTIR模型反式脂肪酸含量预测值与实际加入量高度线性相关,斜率为1.02,标准差小于0.05;SR-FTIR模型的灵敏度要比标准方法模型高20余倍.     

Bahiagrass crop coefficients from eddy correlation measurements in central Florida

Bahiagrass (Paspalum notatum) is a warm-season grass used primarily in pastures and along highways and other low maintenance public areas in Florida. It is also used in landscapes to some extent because of its drought tolerance. Bahiagrass can survive under a range of moisture conditions from no irrigation to very wet conditions. Its well-watered consumptive use has not been reported previously. In this study, bahiagrass crop coefficients (K _c) for an irrigated pasture were determined for July 2003 through December 2006 in central Florida. The eddy correlation method was used to estimate crop evapotranspiration (ET_c) rates. The standardized reference evapotranspiration (ET_o) equation (ASCE-EWRI standardization of reference evapotranspiration task committee report, 2005) was applied to calculate ET_o values using on site weather data. Daily K _c values were estimated from the ratio of the measured ET_c and the calculated ET_o. The recommended K _c values for bahiagrass are 0.35 for January–February, 0.55 for March, 0.80 for April, 0.90 for May, 0.75 for June, 0.70 for July–August, 0.75 for September, 0.70 for October, 0.60 for November, and 0.45 for December in central Florida. The highest K _c value of 0.9 in May corresponded with maximum vapor pressure deficit conditions as well as cloud free conditions and the highest incoming solar radiation as compared to the rest of the year. During the summer (June to August), frequent precipitation events increased the cloud cover and reduced grass water use. The K _c annual trend was similar to estimated K _c values from another well-watered warm-season grass study in Florida.     

Evaluating eddy covariance cotton ET measurements in an advective environment with large weighing lysimeters

Eddy covariance (EC) systems are being used to assess the accuracy of remote sensing methods in mapping surface sensible and latent heat fluxes and evapotranspiration (ET) from local to regional scales, and in crop coefficient development. Therefore, the objective was to evaluate the accuracy of EC systems in measuring sensible heat (H) and latent heat (LE) fluxes. For this purpose, two EC systems were installed near large monolithic weighing lysimeters, on irrigated cotton fields in the Texas High Plains, during the months of June and July 2008. Sensible and latent heat fluxes were underestimated with an average error of about 30%. Most of the errors were from nocturnal measurements. Energy balance (EB) closure was 73.2–78.0% for daytime fluxes. Thus, daylight fluxes were adjusted for lack of EB closure using the Bowen ratio/preservation of energy principle, which improved the resulting EC heat flux agreement with lysimetric values. Further adjustments to EC-based ET included nighttime ET (composite) incorporation, and the use of ‘heat flux source area’ (footprint) functions to compensate ET when the footprint expanded beyond the crop field boundary. As a result, ET values remarkably matched lysimetric ET values, with a ‘mean bias error ± root mean square error’ of −0.03 ± 0.5 mm day⁻¹ (or −0.6 ± 10.2%).     

Estimation of actual evapotranspiration for a drip-irrigated Merlot vineyard using a three-source model

A study was performed in order to evaluate the three-source model (Clumped model) for direct estimation of actual evapotranspiration (ET_a) and latent heat flux (LE) over a drip-irrigated Merlot vineyard trained on a vertical shoot positioned system (VSP) under semi-arid conditions. The vineyard, with an average fractional cover of 30%, is located in the Talca Valley, Region del Maule, Chile. The performance of the Clumped model was evaluated using an eddy covariance system during the 2006/2007 and 2007/2008 growing seasons. Results indicate that the Clumped model was able to predict ET_a with a root mean square error (RMSE), mean bias error (MBE), and model efficiency (EF) of 0.33, −0.15 mm day⁻¹ and 74%, respectively. Also, the Clumped model simulated the daytime variation of LE with a RMSE of 36 W m⁻², MBE of −8 W m⁻², and EF of 83%. Major disagreement (underestimated values) between observed and estimated values of ET_a was found for clear days after rainfall or foggy days, but underestimated values were less than 10% of the data analysis. The results obtained in this study indicate that the Clumped model could be used to directly estimate vine water requirements for a drip-irrigated vineyard trained on a VSP. However, application of the Clumped model requires a good characterization of the drip-irrigated vineyard architecture.     

数控螺旋锥齿轮磨齿机机床加工误差补偿

根据螺旋锥齿轮齿面的数学模型,对轮齿曲面进行了离散化处理.运用矢量运算的方法,给出了齿面离散点径矢及其法矢的计算方法.基于螺旋锥齿轮切齿计算得到的比例修正参数以及砂轮可任意修形的特点,建立了一种基于比例修正参数和砂轮参数,对机床加工误差进行补偿的方法,运用最优化算法可得到各种比例修正参数的修正倍数以及砂轮参数的改变量.通过实际的磨齿加工、齿形误差的测量以及机床调整参数的补偿,验证了机床加工误差补偿方法的正确性.     

机床误差对螺旋锥齿轮齿形的影响规

基于螺旋锥齿轮齿面分析的数学模型,采用最优化算法和一种新的计算齿形误差的方法,计算了误差齿面与理论齿面在理论齿面法线方向的齿形误差.通过引入机床调整误差和刀具参数误差,分析了各种误差对螺旋锥齿轮齿形的影响规律,以图形的方式表示了误差齿面相对于理论齿面的偏离方向以及误差值的大小,为机床的精度设计、齿形误差的修正以及指导实际加工提供了理论依据.通过实际的磨齿加工和检测对算法以及分析结果进行了验证.     

果树冠层参数实时检测系统

为了降低农药喷施环境污染和提高水果品质,实现果园果树仿形精确喷雾,建立了一套果树冠层参数的实时检测系统.该系统主要由作物识别系统、车辆姿态系统、主控单元和数据记录单元组成,采用CAN总线进行数据通信.对5棵临近的绿篱树进行了初步的靶标距离检测试验,试验重复3次.采用4个超声波传感器分时检测,拖拉机前进速度为0.3m/s,系统采样速率为5次/s.试验表明,系统能可靠地按一定的采样速率,实时检测和记录系统载体车辆位置、姿态(地面平整度)和果树靶标的距离等数据,为精确仿形喷雾提供了一个较好的喷雾控制平台.     

铲式玉米精密播种机三维参数化设计

针对铲式玉米精密播种机传统设计方法中存在的设计效率低、无法进行动态装配等问题,应用Pro/E软件对播种机零部件进行了三维模型构建,并完成播种机的整体装配;在Visual C++平台上,利用Pro/TOOLKIT和MFC,编制了基于Pro/E的三维参数化设计软件,利用程序控制语句对播种机模型进行驱动,实现了播种机的参数化和系列化设计,为播种机的运动学、动力学和有限元分析奠定了基础.