Evaluation of a commercial intravaginal thermometer to predict calving in a Hungarian Holstein-Friesian dairy farm

In this study, the utility of a commercial intravaginal thermometer was evaluated as an automated method for the prediction of calving in a total of 257 healthy pregnant Holstein–Friesian female cattle. The accuracy and the sensitivity of predicting calving within 48 hr before calving were also evaluated. The intravaginal temperature changes from 72 hr before and up to calving were significantly (p ≤ .001) affected by parity, season (summer vs. autumn), the time of day (8 a.m. or 8 p.m.) and the 6-hr time intervals (38.19°C: first interval 0 to 6 hr before calving vs. 38.78°C: twelfth interval 66 to 72 hr before calving), while the gender (p = .943), and the weight of the calf (p = .610), twinning (p = .300), gestation length (p = .186), foetal presentation (p = .123), dystocia (p = .197) and retention of foetal membranes (p = .253) did not affect it significantly. The sensitivity of the SMS of expecting calving within 48 hr and the positive predictive value were 62.4% and 75%, respectively, while the sensitivity and the positive predictive value for the SMS of expulsion reached 100%. It can be concluded that the investigated thermometer is not able to predict calving within 48 hr accurately; however, imminent calving can be accurately alerted.     

Analysis on Target Genes with Mutation in microRNA of Blue-shelled Chicken and White Leghorn

The study was conducted to explore the potential different characters between Blue-shelled chicken and White leghorn.Global genome microRNA was combined the identified microRNA with complementary lab-predicted microRNA.Then the two breed chicken's SNP data got by GGRS were mapped to the microRNA and focused on SNP that deliberately located in mature-microRNA.Bioinformatics method was adopted for target prediction on microRNA which had SNPs.By further gene enrichment analysis,the study found these genes enriched in 22 GO terms,10 KEGG pathways,and 3 IPA important networks.And they enriched in traits which associated with growth,such as mTOR signaling pathways,Wnt signaling pathways,growth hormone receptor networks and insulin-like growth factor Ⅰ receptor networks.And they also enriched in some laying traits,such as oocyte meiotic signaling pathways and progesterone mature oocytes signaling pathways.The methods and the results might provide references for further studies.     

单核细胞增生性李斯特菌感染ICR小鼠模型的建立

单核细胞增生性李斯特菌(Listeria monocytogenes,LM)是一种人畜共患食源性致病菌,能引起人和动物较为严重的感染症状。现广泛使用具有免疫活性的小鼠模型测定半数致死量(LD₅₀)来评价不同LM菌株的致病性。为建立LM的ICR小鼠模型,本研究采用1/2a血清型的N21 LM菌株,分别以10⁶、10⁷、10⁸、10⁹和10¹⁰ CFU的剂量口腔灌注感染6周龄ICR小鼠,每组10只;另取10只接种PBS作为对照组,测定LM对ICR小鼠的LD₅₀;另取40只小鼠,平均分为2组,公母各半,以测定的LD₅₀剂量接种LM,分别对各组小鼠临床症状、组织病理变化、体重变化及组织中细菌载量进行评价。结果发现,N21 LM菌株对ICR小鼠的LD₅₀为10^9.25 CFU;感染周期为10 d左右,感染小鼠出现被毛粗糙、精神萎靡、阴茎垂出及体重下降等临床症状。组织病理学分析结果显示,肝脏先后出现实质内灶状细菌团块、形成血栓、细胞坏死等;脾脏主要表现为白髓内淋巴细胞减少;肺脏主要表现为纤维素性肺炎。菌落计数和Real-time PCR的检测结果发现肝脏中细菌载量最高,脾脏次之。结果表明,ICR小鼠能作为单核细胞增生性李斯特菌的感染模型。本试验结果为研究LM的致病机制、疫苗研究及抗菌肽转基因小鼠抗LM的评价奠定了基础。     

Infection dynamics of foot-and-mouth disease virus in pigs using two novel simulated-natural inoculation methods

In order to characterize foot-and-mouth disease virus (FMDV) infection dynamics in pigs, two simulated-natural inoculation systems were developed and evaluated. Intra-oropharyngeal (IOP) and intra-nasopharyngeal (INP) inoculation both enabled precise control of dose and timing of inoculation while simulating field exposure conditions.     

基于BP神经网络的旁热式辐射与对流粮食干燥过程模型

针对旁热式辐射与对流粮食干燥机的干燥特点,建立了一种粮食干燥机干燥过程的BP神经网络预测模型。该模型采用了3层神经网络结构(8-10-1),模型输入为粮食干燥机的8个变量,模型输出为出口粮食水分比或干燥速率。通过编写Matlab建模程序,基于实际干燥实验的样本数据训练与测试网络,实现了红外辐射与对流联合干燥的动力学模型,并给出了相应的模型数学表达式,模型预测的出口水分比与干燥速率的R2分别为0.998 9和0.998 0,均方根误差分别为0.009和0.004 1,预测结果与实际测量数据拟合较好;另外,结合实验干燥条件对模型干燥性能的预测结果进行了分析与总结,并依据同样方法建立了顺逆流粮食干燥过程的出口粮食水分比预测模型,对比了2种干燥方式的干燥性能。仿真预测表明用BP神经网络方法建模简单,具有自适应性、灵活性和自学习性等特点,相比于其他粮食干燥的经验数学模型,能综合考虑多种影响因素,可为红外辐射与对流联合干燥过程提供一种新的建模方法。     

海南岛几种优势树种构筑型的研究

对海南 9种优势树种构筑型进行研究 ,通过对树木分枝方式和发芽方式的细致观察和描述 ,发现有 1种属Massart型 ,1种属Troll型 ,7种属Rauh型。对这 9种树木的构筑型特征与国外的研究进行了比较 ,确定了构筑模式与属及发芽模式与属之间的关系。     

优化运行理论在泵站综合自动化系统中的应用

利用改进的神经元网络构建了泵站流量以及效率预测模型，并利用改进的遗传算法构建了泵站优化模型。将这两个模型应用到泵站综合自动化系统中，可以完成对泵站流量及效率的准确预测，并在此基础上实现泵站的优化运行。讨论了泵站优化运行理论在泵站综合自动化系统中应用的步骤和方法。     

土壤水蚀模型中的融雪侵蚀模拟研究

在季节性或常年积雪地区,春季积雪融化产生的径流及其造成的侵蚀占全年总侵蚀量的比例很大,同时反复进行的冻融过程会影响土壤的物理性质,如团聚体稳定性、水分传导率、抗剪切力、可蚀性等,进而加重土壤侵蚀。因此在这些地区进行融雪侵蚀预报十分必要,它主要包括融雪径流的产生,及其形成的土壤侵蚀量,冻融过程导致土壤性状的变化,以及由此造成的对土壤可蚀性的影响。本研究总结了国内外融雪侵蚀的研究现状,并分析了几个代表性土壤水蚀预报模型中的融雪侵蚀过程,提出我国部分地区土壤侵蚀模型中考虑融雪侵蚀的必要性。     

厢式运输车前轮主销后倾角改进设计

基于轮胎侧偏特性建立前轮转向后回正力矩数学模型 ,根据转向轮回正力矩与回正阻力力矩平衡方程式 ,计算了 5 0 2 1型厢式运输车主销后倾角 ,按照国标 GB/T6 32 3.4 - 94的要求做了转向回正试验 ,验证了理论分析和设计计算的正确性 ,为前轮定位参数中主销后倾角的设计提供理论参考。