聚类分析在我国果树研究中的应用及问题分析

对近１０年来聚类分析在我国果树研究中的应用情况进行了简要总结。涉及十余种果树及系统聚类和模糊聚类两种聚类分析方法。文中对有关问题进行了分析和讨论。     

甲萘威原药高效液相色谱分析方法

采用带紫外检测器和ODS-C18色谱柱的高效液相色谱仪,在流动相甲醇 水=80 20(V/V)、检测波长278nm、流速1.0mL/min的条件下,对甲萘威含量进行定量分析。结果表明,甲萘威的标准偏差为0.39;变异系数为0.41%;平均回收率为99.64%;线性相关系数为0.9998。     

基于局部综合法的非零正传动弧齿锥齿轮副设计

利用局部综合法对非零正传动弧齿锥齿轮副进行大重合度加工参数设计,克服了非零正传动由于啮合角增大而使得重合度降低的不足。通过实例与常规设计的结果进行仿真与应力分析对比,结果表明,在同样的载荷条件下,新设计比常规设计的小轮最大齿根拉伸应力减小27.6%,最大齿根压缩应力减小23.5%,最大齿面接触应力减小6.5%,同时大轮的齿根应力也有所降低,使得齿轮副具有更高的寿命和可靠性。     

6-3-3并联机构逆动力学分析与仿真

建立了6自由度6-3-3并联机构逆运动学模型,基于刚体动力学牛顿-欧拉法推导出了该机构逆动力学方程组,并用矩阵QR分解方法求解了该动力学方程组,给出了逆动力学仿真程序开发思路并通过Matlab软件加以实现,通过空载和有载荷作用条件下的算例仿真和分析比较,验证了该动力学模型的正确性.     

人工神经网络NIR定量分析方法及其软件实现

在Visual C＋＋环境中采用面向对象技术,开发了PCA-MBP-NIR定量分析模型软件。通过40份小麦样品的原始光谱、加噪光谱（信噪比为14dB）与含水率所建立的PLS-NIR与PCA-MBP-NIR模型,对10份未知小麦样品的原始光谱、加噪光谱分别进行含水率的PLS-NIR与PCA-MBP-NIR预测分析。分析表明,对于含噪声的光谱,与PLS建模相比,使用PCA-MBP-NIR对未知样品预测结果具有更高的相关系数,更低的预测误差标准差。     

变杆长/变扭角空间机构的位置分析

针对某些工程由于受机构固定构件的限制而难以完成的问题,给出了一种新型空间机构,该机构能够在工作中改变某个参数的运动规律而实现所需的特殊空间轨迹。利用向量回转法建立了该空间机构睁数学模型,调用Matlab函数分别对变杆长RRRSR—l2机构和变扭角RRRSR-α1,机构进行了位置分析,解出并利用绘图函数表达了两机构同一杆上同一点的轨迹曲线,并进行了分析比较。     

内蒙古生态农牧业生产经营存在问题及对策分析

内蒙古自治区是我国北方重要的生态安全屏障,持续加强生态农牧业转型升级,大力推进“三北”等重点生态工程建设是我区畜牧业面临的重要问题。本文主要阐述了内蒙古生态农牧业发展现状及存在问题,并提出了相关对策建议。     

辅料和菌剂添加对牛粪堆肥腐熟的影响

为研究不同辅料与菌剂添加对牛粪堆肥过程中堆体理化性质的影响,试验以牛粪为原料,设置7个不同的辅料和菌剂处理, T1(牛粪+玉米秸秆+发酵菌剂)、T2(牛粪+稻草+发酵菌剂)、T3(牛粪+蘑菇菌渣+发酵菌剂)、T4(牛粪+玉米秸秆)、T5(牛粪+稻草)、T6(牛粪+蘑菇菌渣)、CK(牛粪不添加辅料和发酵菌剂)。结果表明,在堆肥过程中,各处理批次的水分含量和C/N均呈下降趋势,pH值先升后降,有机质先降后升,种子发芽指数随堆肥天数的增加而增加。T1和 T2处理堆体升温快、高温期持续时间长,最高温度可达到66℃~67℃,高温期持续30~32天,加速了堆肥腐熟进程,提高了种子发芽指数。堆肥结束时T1和T2处理的种子发芽指数分别达到78.26%和76.48%。隶属函数综合评价表明T1腐熟程度最高,即当牛粪与玉米秸秆配比为4:1时,添加发酵菌剂有利于堆肥腐熟。     

石柱县莼菜大田植物多样性调查与分析

调查重庆市石柱县野生莼菜大田的植物多样性。共发现植物244种,隶属于74科200属。其中菊科26属30种,禾本科19属21种,荨麻科8属12种,唇形科10属11种;外来入侵植物有34科63属69种,菊科、禾本科物种数最多;本土危害物种9科10属12种,危害能力极强。此外,还发现国家二级保护植物金荞麦(Fagopyrum dibotrys),重庆市省级重点保护野生植物瓶尔小草(Ophioglossum vulgatum)。区系分析、植被类型、植物组成分析显示,该地植物区系丰富,属于热带和温带气候带之间,且物种多样性相对丰富,湿地植物数量相对较高,危害植物干扰严重。     

不同光照处理下外施营养液和激素对万圣节法师叶色变化的影响[1]

To study the effects of light, external nutrition, and hormones on the color changes of Aeonium aeonium "Halloween" leaves. In this study, the 1-year-old stem cuttings of the Aeonium aeonium "Halloween" were used as materials. The leaves were sprayed with 25mg/L methyl jasmonic acid, 3‰ potassium dihydrogen phosphate, and 1‰ calcium magnesium boron mixture for two consecutive times, with an interval of 3 days. The experiment consisted of CK (water control), LS, DS (dark culture for 1 week). After 1 week of treatment, the leaf color parameters and anthocyanin pigment content were measured every 7 days for 6 consecutive weeks. The results showed that the treatment time and method had a significant impact on the leaf color parameters. In terms of brightness value L, as the treatment time extended, all three treatments showed an upward downward upward trend. Among them, the highest value was reached after 2 weeks of treatment, gradually decreased after 3 weeks, and sharply increased again after 6 weeks; In terms of red green saturation a value, after 2-4 weeks of treatment, both LS and DS treatments were significantly higher than CK, and the effect significantly decreased after 5 weeks; Light has a significant impact on a value, with DS treatment showing a significant decrease in a value after one week of shading, and a sharp increase after re lighting; In terms of the b value of yellow and blue saturation, the change in CK value is relatively small with the extension of treatment time, while the fluctuation in LS and DS treatment is significant; In terms of color saturation c value, DS treatment significantly increased with the prolongation of treatment time, and there was no significant change in LS and CK treatment within 1-3 weeks. After 3 weeks of treatment, there was no significant difference between the three treatments; With the extension of treatment time, the anthocyanin content of each treatment showed a trend of first increasing and then decreasing. After 2-3 weeks of treatment, the anthocyanin content was higher, and gradually decreased after 4 weeks of treatment; Correlation analysis shows that anthocyanin content is highly significantly positively correlated with a and c values, and anthocyanin content is a key factor in the red color of Aeonium aeonium "Halloween".