侧孢芽孢杆菌2-Q-9外泌抑菌物质性质

侧孢芽孢杆菌(Bacillus laterosporus)菌株2-Q-9分泌的抑菌物质能强烈抑制青枯病菌的3个生理小种的正常生长.为了进一步在生产上利用该抑菌物质,就该抑菌物质的性质进行了初步研究.结果表明,该抑菌物质经高温处理后性质稳定;在碱性条件下比酸性条件下稳定;对胰蛋白酶和蛋白酶K不敏感,对胃蛋白酶部分敏感;该抑菌物质可能为蛋白或多肽类物质.     

克氏原螯虾酚氧化酶部分生化特性的研究

以克氏原螯虾(Procambarus clarkii)酚氧化酶(PO)为材料,采用L-DOPA为反应底物,分光光度计测定不同温度和pH条件下PO活力,研究克氏原螯虾PO的特性,为其免疫学研究及优化PO准确测定方法提供依据。结果显示PO活力最高时的温度为35℃,低于和高于35℃活力逐渐下降,45℃以上活力迅速下降;0℃仍具有最高活力的24%。在pH4.0～9.5内PO均具有活力,鳃组织最佳pH5.5,血清最佳pH6.5。因此测定克氏原螯虾PO活力的最佳参数为温度35℃,pH5.5(鳃)或6.5(血清)。以上结果说明冰浴终止反应法测定克氏原螯虾PO活力会影响结果的准确性,要慎用。     

南太平洋延绳钓长鳍金枪鱼生物学组成及其与栖息环境关系

长鳍金枪鱼(Thunnus alalunga)经济价值高,是我国延绳钓渔业重要的目标鱼种。根据2013年9月~2014年1月和2014年4~8月我国金枪鱼观察员在南太平洋东部海域收集的长鳍金枪鱼样本和海洋环境数据,对其生物学组成和栖息环境进行了研究。结果表明:叉长(FL,cm)与体质量(WW,kg)的关系为:WW=3×10-5×FL2.909 9(雌雄性,R2=0.915 3);体长(TL,cm)与叉长(FL,cm)关系为:TL=1.033 6FL+2.555(R2=0.961 4);叉长(FL,cm)与两背鳍间距(LD1D2,cm)的关系为:LD1D2=0.248 5FL+1.238 1(R2=0.815 1);利用各水层长鳍金枪鱼渔获率(catch per unit effort,CPUE)推测其主要的栖息水层为150~270 m,栖息水层温度范围16~22℃,盐度范围35.0~35.6,其中最高资源丰度主要分布在190~230 m的水层,对应的温度为18~20℃,盐度为35.2~35.4。研究结果可为掌握南太平洋长鳍金枪鱼栖息环境提供基础数据。     

以嘉陵江为例构建并分析有毒鱼类风险评估体系

摘要：为提高人们对淡水有毒鱼类的认知、增强公众的防范意识、减少不必要的损失,也为有毒鱼类的深入研究奠定基础,本研究初步构建了有毒鱼类风险评估体系,并对嘉陵江已知的18种有毒鱼类展开应用探索。该风险评估体系从有毒鱼类毒性属性、群体属性以及社会属性展开,共包括3个一级指标、8个二级指标和26个三级指标。通过对各有毒鱼类的各指标赋值,其后,根据各指标已确定的权重,从而得出各有毒鱼类的风险评估值,确定其风险等级。结果显示,在嘉陵江已知的18种有毒鱼类中,有4种被界定为高风险有毒鱼类,包括草鱼、鲤、鲇以及鳜,其余14种皆为中风险有毒鱼类。卡方检验（χ2）结果表明,嘉陵江不同风险等级有毒鱼类在食性类别、分布水层、分布范围及繁殖特征上差异不显著（P＞0.05）。该评估体系具有一定的实用价值,但限于对有毒鱼类的认知,本评估体系难免存在不足,未来应当加强对有毒鱼类的研究,以不断地完善该评估体系。本研究加强了人们对于有毒鱼类的了解,为有毒鱼类的科学管理提供了支撑,同时,也为下一步研究奠定了基础。     

基于计算机视觉技术的番茄叶片叶绿素含量的检测

 研究利用计算机视觉技术快速测定叶绿素含量的方法,建立了根据番茄叶片颜色特征确定其叶绿素含量的一元二次拟合模型。在计算机视觉图像采集系统中采集番茄叶片图像,利用MATLAB图像处理工具提取图像的颜色特征参数,对颜色特征参数和番茄功能叶叶绿素含量做相关分析,建立回归模型。结果表明：RGB颜色系统的R/G、(G-R)/(G+R)、G-R、色度坐标r、r-g及HIS颜色系统的H值均与叶绿素含量呈极显著非线性相关性,可用于测定番茄叶片叶绿素含量。从建立的6组模型中筛选出拟合度较高的3组模型进行检验,预测误差在0～22.22%之间。用预测精度最高的G-R颜色特征预测叶绿素含量的模型为Chl.a = 0.0926 + 0.1208 (G-R) - 0.0009 (G-R)²,Chl b = - 0.0252 + 0.0397 (G-R) - 0.0003 (G-R)²和Chl.(a+b) = 0.1271 + 0.1600 (G-R) - 0.0011 (G-R)²。     

Water use of spring wheat to raise water productivity

In semi-arid environments with a shortage of water resources and a risk of overexplotation of water supplies, spring wheat (Triticum aestivum L.) is a crop that can reduce water use and increase water productivity, because it takes advantage of spring rainfall and is harvested before the evaporative demands of summer. We carried out an experiment in 2003 at “Las Tiesas” farm, located between Barrax and Albacete (Central Spain), to improve accuracy in the estimation of wheat evapotranspiration (ETc) by using a weighing lysimeter. The measured seasonal ETc averages (5.63 mm day⁻¹) measured in the lysimeter was 417 mm compared to the calculated ETc values (5.31 mm day⁻¹) calculated with the standard FAO methodology of 393 mm. The evapotranspiration crop coefficient (Kc) derived from lysimetric measurements was Kc-mid: 1.20 and Kc-end: 0.15. The daily lysimeter Kc values were fit to the evolution linearly related to the green cover fraction (fc), which follows the crop development pattern. Seasonal soil evaporation was estimated as 135 mm and the basal crop coefficient approach was calculated in this study, Kcb which separates crop transpiration from soil evaporation (evaporation coefficient, Ke) was calculated and related to the green cover fraction (fc) and the Normalized Difference Vegetation Index (NDVI) obtained by field radiometry in case of wheat. The results obtained by this research will permit the reduction of water use and improvement of water productivity for wheat, which is of vital importance in areas of limited water resources.     

Simulation of transpiration, drainage, N uptake, nitrate leaching, and N uptake concentration in tomato grown in open substrate

Free-drainage or “open” substrate system used for vegetable production in greenhouses is associated with appreciable NO₃⁻ leaching losses and drainage volumes. Simulation models of crop N uptake, N leaching, water use and drainage of crops in these systems will be useful for crop and water resource management, and environmental assessment. This work (i) modified the TOMGRO model to simulate N uptake for tomato grown in greenhouses in SE Spain, (ii) modified the PrHo model to simulate transpiration of tomato grown in substrate and (iii) developed an aggregated model combining TOMGRO and PrHo to calculate N uptake concentrations and drainage NO₃⁻ concentration. The component models simulate NO₃⁻-N leached by subtracting simulated N uptake from measured applied N, and drainage by subtracting simulated transpiration from measured irrigation. Three tomato crops grown sequentially in free-draining rock wool in a plastic greenhouse were used for calibration and validation. Measured daily transpiration was determined by the water balance method from daily measurements of irrigation and drainage. Measured N uptake was determined by N balance, using data of volumes and of concentrations of NO₃⁻ and NH₄⁺ in applied nutrient solution and drainage. Accuracy of the two modified component models and aggregated model was assessed by comparing simulated to measured values using linear regression analysis, comparison of slope and intercept values of regression equations, and root mean squared error (RMSE) values. For the three crops, the modified TOMGRO provided accurate simulations of cumulative crop N uptake, (RMSE = 6.4, 1.9 and 2.6% of total N uptake) and NO₃⁻-N leached (RMSE = 11.0, 10.3, and 6.1% of total NO₃⁻-N leached). The modified PrHo provided accurate simulation of cumulative transpiration (RMSE = 4.3, 1.7 and 2.4% of total transpiration) and cumulative drainage (RMSE = 13.8, 6.9, 7.4% of total drainage). For the four cumulative parameters, slopes and intercepts of the linear regressions were mostly not statistically significant (P < 0.05) from one and zero, respectively, and coefficient of determination (r²) values were 0.96-0.98. Simulated values of total drainage volumes for the three crops were +21, +1 and −13% of measured total drainage volumes. The aggregated TOMGRO-PrHo model generally provided accurate simulation of crop N uptake concentration after 30-40 days of transplanting, with an average RMSE of approximately 2 mmol L⁻¹. Simulated values of average NO₃⁻ concentration in drainage, obtained with the aggregated model, were −7, +18 and +31% of measured values.     

Determination of growth-stage-specific crop coefficients (Kc) of cotton and wheat

Development of crop coefficient (Kc), the ratio of crop evapotranspiration (ETc) to reference evapotranspiration (ETo), can enhance ETc estimates in relation to specific crop phenological development. This research was conducted to determine growth-stage-specific Kc and crop water use for cotton (Gossypium hirsutum) and wheat (Triticum aestivum) at the Texas AgriLife Research field at Uvalde, TX, USA from 2005 to 2008. Weighing lysimeters were used to measure crop water use and local weather data were used to determine the reference evapotranspiration (ETo). Seven lysimeters, weighing about 14 Mg, consisted of undisturbed 1.5 m × 2.0 m × 2.2 m deep soil monoliths. Six lysimeters were located in the center of a 1-ha field beneath a linear-move sprinkler system equipped with low energy precision application (LEPA) and a seventh lysimeter was established to measure reference grass ETo. Crop water requirements, Kc determination, and comparison to existing FAO Kc values were determined over a 2-year period on cotton and a 3-year period on wheat. Seasonal total amounts of crop water use ranged from 689 to 830 mm for cotton and from 483 to 505 mm for wheat. The Kc values determined over the growing seasons varied from 0.2 to 1.5 for cotton and 0.1 to 1.7 for wheat. Some of the values corresponded and some did not correspond to those from FAO-56 and from the Texas High Plains and elsewhere in other states. We assume that the development of regionally based and growth-stage-specific Kc helps in irrigation management and provides precise water applications for this region.     

Nitrate leaching in a silage maize field under different irrigation and nitrogen fertilizer rates

Quantification of the interactive effects of nitrogen (N) and water on nitrate (NO₃) loss provides an important insight for more effective N and water management. The goal of this study was to evaluate the effect of different irrigation and nitrogen fertilizer levels on nitrate-nitrogen (NO₃-N) leaching in a silage maize field. The experiment included four irrigation levels (0.7, 0.85, 1.0, and 1.13 of soil moisture depletion, SMD) and three N fertilization levels (0, 142, and 189 kg N ha⁻¹), with three replications. Ceramic suction cups were used to extract soil solution at 30 and 60 cm soil depths for all 36 experimental plots. Soil NO₃-N content of 0-30 and 30-60-cm layers were evaluated at planting and harvest maturity. Total N uptake (NU) by the crop was also determined. Maximum NO₃-N leaching out of the 60-cm soil layer was 8.43 kg N ha⁻¹, for the 142 kg N ha⁻¹ and over irrigation (1.13 SMD) treatment. The minimum and maximum seasonal average NO₃ concentration at the 60 cm depth was 46 and 138 mg l⁻¹, respectively. Based on our findings, it is possible to control NO₃ leaching out of the root zone during the growing season with a proper combination of irrigation and fertilizer management.     

基于图像处理的杂草叶片识别参数研究

杂草种类繁多、危害严重,对杂草种类进行精确识别,可以提高除草效率,减少除草剂使用量,降低其对环境的污染.为此,应用图像处理的有关技术,以杂草叶片为研究对象,以形态、纹理和颜色特征相结合的方法来描述杂草叶片信息,提出了共16个特征参数可对杂草叶片信息进行精确描述,该特征参数可区别不同种类的杂草,为农药的精确投放和现代施药装备的开发奠定基础.