白洋淀中华绒螯蟹种质资源形态判别与评价

对中华绒螯蟹外部形态32个测量点进行测量．利用形态判别法对白洋淀的中华绒螯蟹种质资源分析评价．建立了白洋淀中华绒鳌蟹形态判别式。结果表明．白洋淀河蟹种群属于北方蟹的辽河蟹．判别准确率达100％。结果有利于白洋淀中华绒螯蟹均质种群的维持,建议应加强白洋淀中华绒鳌蟹资源的管理。     

五味子园除草机的研制与应用

设计、制造一种五味子园除草机,并进行田间试验应用与效益分析。该除草机采用手扶拖拉机为配套动力,利用最终传动齿轮,通过除草机的传动箱带动除草轮在地面上滑转来剖切土壤,达到除草和疏松土壤的目的;同时配置培土犁,一次可完成除草、深松、培土复式作业。应用试验表明,该除草机各项技术指标均达到设计标准,能够满足农艺要求。     

北京怀柔水库流域土地利用变化及其驱动力研究

使用1990~2005年3期遥感影像数据作为信息源,通过GIS手段,分析怀柔水库流域近15年土地利用变化特征,利用主成分分析法,综合社会经济统计数据,定量分析怀柔水库流域土地利用变化的驱动力。分析表明:流域内阔叶林、针叶林、混交林的面积所占比例呈上升趋势,灌木林面积下降趋势明显,农田面积总体变化不大;土地利用变化和经济发展程度密切相关,与人口因素关联度不高。     

利用随机网络模型和CT数字图像预测近饱和土壤水分特征曲线

通过对连续土壤切片CT图像的分析,定量获取了土壤孔隙的大小分布情况。在此基础上建立了基于土壤孔隙形态学特征的随机网络模型,在孔隙尺度模拟了土壤中的水分运动过程,并预测了近饱和土壤水分特征曲线。结果表明,通过选取合适的模型参数,基于土壤孔隙形态学特征建立的随机网络模型可以模拟出与土壤样本实测值非常接近的水分特征曲线,可以作为一种快速测量的方法。     

基于回归等值线法的不同下垫面红壤水分时空变化规律研究

基于回归等值线法对百喜草覆盖、百喜草敷盖和对照处理的红壤水分时空变化进行了比较分析。结果显示,从年初到年终,随时间的推移,各处理各层土壤含水量均表现出"先减小,后增大"的趋势。在测定深度内,随土层深度增加,各处理各层土壤含水量却表现出"先增大,后减小"的趋势。百喜草覆盖处理,特别是上中层土壤含水量,随时间变化较大,与气候和百喜草生长密切相关,但随深度变化,层间土壤含水量变化较慢;百喜草敷盖和对照处理,土壤含水量受土层深度因素影响更明显。对于百喜草敷盖处理,随深度变化,层间土壤含水量变化较慢,但对于对照处理,随深度变化,层间土壤含水量变化较大。     

联合分析法在混合动力汽车产品定位中的应用研究

从消费者购买决策角度出发,利用联合分析法,构建我国市场A级混合动力汽车属性与水平模型,分析消费者购买混合动力汽车时赋予不同属性的相时重要性及属性水平的效用值,并模拟产品组合市场占有率情况,从而为混合动力汽车产品定位提供依据.     

轻卡汽车门锁故障分析与解决措施

门锁的定义为锁止车门的机构,主要包括锁体、挡块、内外操纵机构和内外锁止机构,是驾驶室的保护安全部件.本文介绍了轻卡汽车门锁常见故障.分析了门锁失效原因,提出了对轻卡汽车门锁常见问题的解决措施.     

汽车电动助力转向系统路感特性分析

讨论了汽车转向路感的形成及定义,对电动助力转向系统的路感特性进行了分析,研究了电动助力转向系统路感的影响因素,提出了改善电动助力转向系统路感的方法,并对电动助力转向系统进行仿真分析,结果表明所提出的方法是正确有效的.     

电喷发动机不能起动的故障树诊断分析

结合电喷发动机的结构性能特点,对电喷发动机不能起动的故障原因进行了分析,绘制了电喷发动机不能起动的故障树, 提出了电喷发动机不能起动的诊断流程实例.采用故障树诊断分析的方法,可以快速查明电喷发动机不能起动的故障原因.     

Variability in the composition of lupin (Lupinus angustifolius) meals influences their digestible nutrient and energy value when fed to rainbow trout (Oncorhynchus mykiss)

Over a series of seven separate experiments 76 different lupin (Lupinus angustifolius) meals were assessed for their digestible dry matter, protein, amino acid and energy characteristics when fed to rainbow trout. Two reference diets (a common basal diet and a reference lupin meal) were also included in each experiment. Minimal variance in the digestibility parameters of both reference diets was observed among the experiments ensuring that there was a high degree of robustness in the across-experiment evaluations. Using simple and multiple-regression techniques, principal diet and ingredient composition factors affecting diet and ingredient digestibilities and ingredient digestible values were explored within the dataset. Using simple linear regression, it was shown that nitrogen digestibility of the lupin meals was negatively influenced by ingredient lignin content, but positively affected ingredient protein (N × 6.25) content. The energy digestibility of the lupin meals was positively affected by a range of compositional features including protein, sum of amino acids and negatively affected by carbohydrate content. The digestible nutrient and energy content of the meals reflected the combined effects of both ingredient digestibilities and ingredient composition. The digestible nitrogen content of the lupin meals was positively affected by protein (N × 6.25), sum of amino acids and energy content, but was negatively affected by lignin and carbohydrate content. The digestible sum of amino acids was also positively affected by protein, sum of amino acids, but only negatively affected by carbohydrate content, not lignin content. The digestible energy content of the lupin meals was also positively affected by protein, sum of amino acids and their own energy density, but only negatively affected by carbohydrate content. Multiple linear regression modelling supported that together ingredient protein and lignin content were the strongest predictors of digestible protein value, explaining close to 60% of the variability in this parameter. Discrete reassessment of these relationships using non-linear analysis methods provided a stronger interpretation of the ingredient composition effects. In recognition of this, a functional model including terms for ingredient protein and lignin content on the digestible protein value was defined. This study demonstrates that within one raw material type that not only does significant variability in the digestible value of the raw materials exist, but that it is possible to identify compositional features of that raw material that are intrinsically influencing their own digestible value.