冀北油葵主要栽培因素对产量的影响

为了研究主要栽培因素对油葵产量的影响,确定冀北地区油葵最优栽培方案.本研究采用5因子二次回归正交旋转组合设计,建立播期、密度、氮肥、磷肥和钾肥与油葵产量的效应函数.结果 表明,播期、密度、氮肥、磷肥和钾肥随着投入量的增加油葵产量呈先升高后下降趋势,其中播期、播期氮肥互作起着重要的作用.目标产量大于2916.67 kg/...     

大豆膳食纤维蒜肠的研制

利用新鲜豆渣制成大豆膳食纤维粉添加到香肠中,并在香肠中添加大蒜粉,在单因素试验的基础上,采用响应面法对大豆膳食纤维蒜肠的配方进行优化。结果表明,大豆膳食纤维蒜肠的最佳配方为:蒜粉添加量1.3%,大豆膳食纤维添加量5.0%,马铃薯变性淀粉添加量6.0%。用该配方生产出的产品具有蒜肠特有的香味,良好的口感和弹性,且由于加入了大豆膳食纤维,增加了该产品的保健功能,是老少皆宜的香肠新产品。     

甜菜DAMD-PCR体系的建立及优化

为了建立甜菜DAMD扩增体系,以期利用DAMD引物应用于甜菜品种指纹图谱的构建及分子标记辅助育种。本实验利用单因素变量的方法对甜菜DAMD体系进行优化。同时选用12个甜菜品种,利用优化的体系对25条DAMD引物进行扩增。获得甜菜的最适DAMD体系:总体积为20μL,包含模板DNA 10~80 ng、0.75 U的DNA聚合酶、0.2μL的d NTPs(2.5 mmol/L each)以及2.0μL的引物(10μmol/L)。同时25条引物均扩增出了清晰条带,除了个别引物多态性较差外,其余引物多态性都非常的丰富,其中引物62H(-)就可以把实验中用到的12个甜菜品种全部区分开。由此可见,DAMD引物的扩增效率很高,并且扩增结果稳定,条带清晰,非常适合甜菜品种指纹图谱的构建及遗传多样性分析。     

响应面分析法优化新鲜树莓浆酶解工艺

以新鲜树莓为原料,利用果胶酶对树莓浆进行酶解,在单因素试验的基础上,采用BoxBehnken中心组合试验,建立二次回归方程模型,采用响应面分析法确定树莓浆的最佳酶解工艺条件。试验结果表明,树莓浆酶解的最优工艺条件为:酶解温度49.7℃、酶解时间1.25 h,果胶酶用量0.039%,在此条件下,树莓浆的出汁率理论值为70.96%,实际验证结果为70.04%。     

广谱植物内生真菌枫香拟茎点霉生态功能的研究进展

旨在证明枫香拟茎点霉(Phomopsis liquidambari)有潜力成为广谱内生菌的模式菌株之一,有利于促进内生真菌与宿主植物之间的研究更加系统化、完整化。本研究综述了一株广谱植物内生真菌P.liquidambari在改善土壤化学特性,修复受污染的土壤,优化农业生态,提高农作物产量方面的作用。并从真菌定殖情况、植物生理响应和土壤环境优化三个方面,将该菌株与当前研究较多的印度梨形孢(Piriformospora indica)进行比较,并展望了P.liquidambari的研究前景。     

舞毒蛾ISSR反应体系的优化与建立

舞毒蛾是一种食性广、危害大的林业害虫,遗传多样性的研究有利于揭示不同地理种群的遗传变异情况。以河北舞毒蛾为实验材料,对ISSR反应体系中的5个因子（Taq DNA聚合酶、模板DNA、引物、MgCl2和dNTPs）的8个浓度梯度依次进行试验,每一因子的最佳浓度都用于下一组优化试验,最终确定最佳反应体系优化筛选,结果表明,20μL ISSR反应体系各组分的最适浓度分别为0.5 U Taq DNA聚合酶,1.5 ng/μL模板DNA,2.4μmol/L引物,1.75 mmol/L MgCl2,0.28 mmol/L dNTPs。这一优化的舞毒蛾ISSR-PCR反应体系为进一步利用ISSR分子标记技术对舞毒蛾的遗传多样性分析奠定了良好的试验基础。     

Stiffness optimization of vehicle engine magneto-rheological fluids mounts

As important tool for engine semi-automatic isolation system, the magneto-rheological fluids (MRC) can’t achieve tunable stiffness but damping. Therefore, the MRC’s initial stiffness affects the performance of isolation system. To obtain the better isolation effect of MRC in wide frequency, it is necessary to optimize the initial stiffness. As motor unbalanced force and isolation damping are not considered in traditional mount optimization, the feature of semi-automatic control can not be reflected. For a four-cylinder four-cycle in-line diesel engine, a new method which is suitable for stiffness optimization on vehicle engine isolation is presented by using Genetic Algorithm. The optimal isolation system has small absolute force transmissibility in abroad frequency range and small vibration intensity with impact load by using the new method.     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

紫甘蓝吐司的配方优化及其质构特性研究

研究了紫甘蓝泥、酵母、面包改良剂和烤焙油对紫甘蓝吐司品质的影响。在单因素试验的基础上,以感官评分为判断标准,通过正交试验确定吐司的最佳工艺配方并对感官品质和质构特性的关系进行分析。结果表明:当紫甘蓝泥添加量9.0%,酵母添加量1.2%,面包改良剂添加量0.6%,烤焙油添加量6.0%时,研制出的紫甘蓝吐司感官品质最佳。同时,利用逐步回归分析法建立感官评分与质构特性间的最优线性回归模型:Y(感官评分)=-92.388+18.315X2(弹性)。本研究为紫甘蓝吐司的研发与生产提供理论参考。     

Optimization Analysis of Single-layer Reticulated Dome

A structural optimization algorithm is performed for single-layer Kiewit reticulated dome by means of ANASYS. In the process of optimum design, the overall weight is taken as objective function; the stress constraints and stability constraints etc are considered. Meanwhile, the geometrical non-linearity is taken into account. Then the overall stability analysis for the optimized single-layer reticulated dome is operated. The results show that the optimization design is reliable.