牛羊养殖中前胃疾病鉴别诊断方法

牛羊都是反刍动物,它们拥有4个胃,分别是瘤胃、网胃、瓣胃和真胃。前3个胃统称为前胃,在前胃中有大量的可以分解和消化饲料中粗纤维的细菌,是牛羊以粗饲料作为主要食物的原因之一。很多牛羊非常容易出现前胃疾病,饲养人员要掌握牛羊前胃疾病的预防办法和治疗措施。     

Protein and energy concentrations of meat meal and meat and bone meal fed to pigs based on in vitro assays

The objective of this study was to develop equations for estimating ileal digestible crude protein (CP) and metabolizable energy (ME) contents of meat meal (MM) and meat and bone meal (MBM) as feed ingredients for pigs based on in vitro assays. Test ingredients were 4 sources of MM and 3 sources of MBM. Ash and CP contents of the ingredients ranged from 3.8% to 33.1% and 46.8% to 82.9% (as-is basis), respectively. In vitro ileal disappearance (IVID) of CP was determined and ileal digestible CP content was calculated by multiplying CP content by IVID of CP. In vitro total tract disappearance (IVTTD) of dry matter (DM) was determined and ME was calculated using gross energy, CP contents, and IVTTD of DM. The IVID of CP and IVTTD of DM ranged from 77.2% to 88.7% and from 82.7% to 92.4%, respectively. Calculated ileal digestible CP and ME contents ranged from 37.8% to 73.5% DM and 2,405 to 3,905 kcal/kg DM, respectively. Ash contents were negatively correlated (P < 0.001) with CP (r = −0.99), in vitro ileal digestible CP (r = −0.97), gross energy (r = −1.00), in vitro digestible energy (r = −0.97), and adjusted ME (r = −0.97). The most fitting equations for ileal digestible CP and adjusted ME were: ileal digestible CP (% DM) = 11.91 − 0.90 × Ash (% DM) + 0.74 × IVID of CP (%) (R² = 0.99) and adjusted ME (kcal/kg DM) = 130.85 − 50.90 × ash (% DM) + 47.06 × IVTTD of DM (%) (R² = 0.99). To validate the accuracy of the prediction equations for ME, mean bias and linear bias were determined using a regression analysis. Calculated ME values of MM and MBM were in a good agreement with data obtained from animal experiments based on a statistically insignificant bias in the models. In conclusion, ME concentrations of MM and MBM as swine feed ingredients can be calculated using ash concentration and in vitro disappearance of dry matter.     

实例教学法在建筑电气施工图识图教学中的运用--以人为本，学以致用

文章针对识图教学过程中运用实例教学的重要性进行阐述,并针对实例教学法在建筑电气施工识图教学中的应用加以探讨,以提供理论参考。     

基于模拟退火算法优化给水管线造价公式研究

给水管线造价公式的精确性对工程经济分析与给水管网优化的科学性和经济性有重大影响。通过五个地区的铸铁管综合单价数据,采用最小二乘法对各组数据进行多项式一至十次的拟合,确定了给水管线造价公式的最佳拟合次数为三次;进一步采用模拟退火算法对拟合的多项式参数进行优化计算,求解给水管线造价公式。结果表明:凭借模拟退火算法随机全局搜索模式以及不受函数性质影响的优势,能够克服传统算法难以求解多阶导数的困难,提高公式拟合精度。     

基于灰色关联法的小型农田水利工程建设项目绩效评价研究

运用灰色关联法原理,采用均方差法计算指标权重,根据近年来湖北省进行小型农田水利工程建设项目绩效评价的实际情况,建立了小型农田水利工程建设项目评价定性定量混合指标体系和模型,应用该模型和方法对湖北省2012年第二批20个小农水重点县工程建设项目进行了评价(作为研究,各县、市名以汉语拼音字头代替)。结果表明:LHK、SSS、ZJS、DJK、XTS等14个县为优秀,XCX、TMS、JSX等5个县为良好,CYX为一般,无及格等级的重点县。评价结果与实际基本相符。证明本文所提出的模型和方法可应用于实际,是一种快速便捷的评价工具。     

基于外碾削立式碾米机的离散元法仿真分析

引入离散元仿真技术对碾米机械进行仿真研究,旨在探索碾米机在碾白过程中的碎米机理。通过模拟大米在输送过程来获得速度、运动轨迹等数据,由图表等方式输出模拟结果,可以看到米粒群绕着碾辊做螺旋形前进的运动规律。该技术在粮食机械设计系统的研究中具有重要的推广意义,可为碾米机优化设计提供理论参考,也为其他农业物料精确定量分配提供了一种新的方法。     

基于标记的极半径极值红枣形状识别方法

形状是分级的最重要参数之一,本文采用标记法对红枣形状进行了识别。通过图像预处理获取红枣二值图像,通过边界追踪获取目标边界笛卡尔坐标,并将其转化为极坐标,对目标图像进行缩放旋转使均值圆成为基线,切割的4部分边界曲线能完整表达。对边界曲线进行多项式拟合,获取极值点坐标,将其映射回被拟合曲线上,获取对应极值点坐标。若两极小极半径差值大于阈值,则红枣畸形;若两极大极半径附近区域极半径过渡平缓,判红枣为规整,否则为较规整。取53粒红枣进行检测,其中16粒畸形,17粒较规整,20粒规整。检测结果表明:畸形枣识别准确率达100%,较规整枣的识别准确率94%,规整枣识别准确率95%,可基本满足红枣分级系统精度的要求。     

区域农业水资源恢复力可变模糊评价模型

区域农业水资源系统是与自然及人类活动紧密联系的复杂适应系统,不断与周围环境发生物质、能量和信息因素方面的交换和作用。以黑龙江省农垦红兴隆管理局12个农场为研究基点,运用主成分-相关分析法筛选评价指标,构建农业水资源恢复力评价指标体系,采用CRITIC法确定指标权重,结合可变模糊模型评价方法对其农业水资源系统恢复力进行评价,并利用ArcGIS技术对其进行分区,结果表明:双鸭山、八五三、北兴和八五二农场的农业水资源恢复力为Ⅱ级,饶河、二九一、五九七、红旗岭、友谊、江川、宝山和曙光的农业水资源恢复力为Ⅲ级。研究成果揭示了当地农业水资源系统力恢复情况,为农业水资源系统恢复力研究提供了一种新的研究模式。     

基于Z比分数的参考作物腾发量计算方法优选

参考作物腾发量(ET0)是计算作物需水量的关键,是进行农田水分管理和灌溉预报的主要参数。但不同ET0计算方法的结果存在明显差异。用能力统计量Z比分数,对FAO56Penman-Monteith、Hargreaves-Samani、Irmark-Allen拟合和Priestley-Taylor四种常用ET0计算方法在不同天气条件下的计算结果精度进行了对比分析。结果表明,Priestley-Taylor与FAO56Penman-Monteith方法的计算结果在精度上具有较高的一致性,与有关文献结果相吻合,其中前者精度略佳。且Z比分数参数受极端值的影响较小,计算简便、适用性强,克服了常规方法公式繁杂、编程实现困难的缺点,说明Z比分数法能够更好地适用于ET0计算方法的优选。研究结果可为农业水土工程领域有关参数计算与测定方法的优选提供借鉴。     

Establishment and Application of a Multiplex RT-PCR Assay for Detection of PEDV,TGEV and PRoV

In this study,a multiplex RT-PCR assay was established to differentially detect porcine epidemic diarrhea virus (PEDV),porcine transmissible gastroenteritis virus (TGEV) and porcine rotavirus (PRoV) after optimization of the reaction conditions.Three pairs of primers PEDV-N,TGEV-M and PRoV-VP6 were designed for specifically amplifying PEDV N gene,TGEV M gene and PRoV VP6 gene,respectively.The assay could specifically amplify PEDV,TGEV and PRoV,but not classical swine fever virus (CSFV),porcine foot and mouth disease virus (FMDV),pseudorabies virus (PRV),porcine parvovirus (PPV) and porcine circovirus type 2 (PCV2).The detection limits of PEDV,TGEV and PRoV standard recombinant plasmids were 1.41×10³,1.41×10² and 1.41×10³ copies/μL,respectively.The repeated reaction under the same conditions obtained uniform results.The assay was used to detect a total number of 190 clinical samples,of which 42 (22.11%) samples were positive for PEDV,58 (30.53%) samples for TGEV and 34 (17.89%) samples for PRoV,and there were mixed infection among these viruses.The results indicated that this multiplex RT-PCR assay had the advantages of sensitivity,specificity and repeatability and provided a useful tool for differential detection and epidemiological investigation of PEDV,TGEV and PRoV.