中国巴马小型猪内源性反转录病毒的检测

目的 :对我国特有巴马小型猪内源性反转录病毒 ( porcine endogenous retrovirus,PERV)的存在与 m RNA的表达情况进行检测 ,了解巴马小型猪内源性反转录病毒的携带情况。方法 :根据以往建立的 PCR、RT-PCR检测方法 ,对来自于巴马小型猪外周血淋巴细胞的 DNA和RNA样品进行 PERV核心蛋白基因 ( gag)、多聚酶基因 ( pol)及囊膜基因 ( env)的存在与表达进行检测 ;同时 ,根据目前通用的 env基因分型方法检测 PERV env-A、env-B、env-C的存在与表达。结果 :在 1 2个被检的 DNA样品中均检出了PERV特异性 DNA的存在 ;同样 ,在 1 2个被检的 RNA样品中均有 PERV特异性 RNA的表达 ,且所表达的 PERV均为 A型和 B型 ;其中有9个 DNA样品检测出 PERV-C型的存在 ,所有样品中均未检出 C型 PERV的表达。结论 :检测结果表明 1 2个被检巴马小型猪基因组中存在着内源性反转录病毒序列 ,且能以 m RNA的形式表达 ,这一结果为我国特有小型猪的开发、利用及其病毒安全性评价奠定了基础。     

中国矮马运铁蛋白遗传多态性的初步研究

采用聚丙烯酰胺凝胶电泳对中国矮马运铁蛋白多态性进行了测定。在运铁蛋白位点共发现5种表型，即F2F2，DF2，F2H2，F2O和F2R，由Tf^D,Tf^F2,Tf^F2,Tf^H2,Tf^O和Tf^R等5个等位基因控制，其基因频率分别为0.0312,0.7188,0.0625,0.0312和0.1563；基因的杂合度（H），个体鉴别概率（Dp)和亲仔关系排除概率（PE）分别为0.4530,0.6875和0.2586。     

宁夏玉米营养成分近红外分析模型建立与应用

研究采集宁夏区内各市县(固原、海原、同心、中卫、中宁、永宁、平罗)抽取玉米样品120批,用近红外分析仪扫描定标样品集获得玉米近红外光谱图,利用偏最小二乘法建立模型,并分别经过无预处理、均值中心化、标准正态变量转换、一阶导数、标准正态变量转换结合去趋势校正(SNV+D)预处理光谱,获得水分、粗蛋白、粗脂肪、粗纤维预测模型,分别是经过MC、SNV+D、SNV+D、SNV+D光谱预处理后效果最好。预测决定系数R² _p分别为0.951、0.976、0.728、0.897,相对分析误差RPD除粗脂肪为2.62外,其他均大于3的近红外预测模型,通过预测模型验证集验证后,并对模型预测值与实测值进行U检验,结果为差异不显著(P>0.05)。该近红外预测模型对玉米中水分、粗蛋白、粗纤维具有较佳预测效果,粗脂肪的预测精度有待进一步提高。     

Decreasing detection frequency of MITE(MCLas-A) in the population of ‘Candidatus Liberibacter asiaticus' recently collected in southern China

An active miniature inverted-repeat transposable element(MITE), MCLas-A, was previously identified from ‘Candidatus Liberibacter asiaticus' known to be associated with citrus Huanglongbing(HLB, yellow shoot disease). To explore the recent transposition status of MCLas-A, 389 ‘Ca. L. asiaticus' strains collected from nine regions in China were amplified using a specific primer set and three representative ‘Ca. L. asiaticus' strains were analyzed by next-generation sequencing(NGS) approach. PCR and genomic analysis showed that the entire MCLas-A was only present in 1.80%(7/389) and the jumping-out type of the MITE was predominant(81.23%) in samples tested, suggesting high frequency transposition occurred in ‘Ca. L. asiaticus' strains recently collected from China. Biological roles of transposition of the active MITE remain to be determined.     

不同波长选择方法在土壤有机质含量检测中对比研究

由于近红外光谱数据的多重共线性，特征波长选择一直是近红外光谱分析技术的重要研究内容。以108个土壤样本光谱数据和土壤有机质(SOM)含量为研究对象，以连续投影算法（SPA）、间隔偏最小二乘法（IPLS）、竞争自适应重加权采样法（CARS）三种典型的特征波长选择算法进行近红外光谱波长选择和土壤有机质含量建模。研究结果表明，基于上述三种方法提取的特征波长所建立的模型预测能力均优于全谱模型。其中，基于SPA算法的MLR预测模型精度最优，预测集相关系数（Rp）和均方根误差（RMSEP）分别为0970 2和1.214 4，模型参数只有6个。因此，SPA-MLR可以有效地应用近红外光谱的建模，并且简化模型的复杂度，提高模型的计算效率。     

不同合成树脂工艺对改性材性能影响研究

为研究树脂对改性材性能的影响，采用2种不同工艺合成三聚氰胺-脲醛树脂（MUF），测试了树脂的相关性能。结果表明，不同合成工艺路线下制备的 MUF 树脂在固体含量、粘度、固化时间、游离甲醛含量间存在显著差异。最终树脂的分子结构类型相似性极高，但相同结构组分在不同树脂中所占比例各有差异。羟甲基基团在MUF2中所占比例高，而亚甲基桥键及醚键在MUF1中含量高。MUF1改性材的增重率（weight percent gain，WPG）值更大，但MUF2改性材的抗溶胀性（anti-swelling efficiency，ASE）和体积膨胀率（bulking rates，B）更高，MUF2改性材的尺寸稳定性更好。     

Influence of Soil Particle Size on the Measurement of Sodium by Near-Infrared Reflectance Spectroscopy

This study evaluates the effect of soil particle size (SPS) on the measurement of exchangeable sodium (Na) (EXC-Na) by near-infrared reflectance (NIR) spectroscopy. Three hundred thirty-two (n = 332) top soil samples (0–10 cm) were taken from different locations across Uruguay, analyzed by EXC-Na using emission spectrometry, and scanned in reflectance using a NIR spectrophotometer (1100–2500 nm). Partial least squares (PLS) and principal component regression (PCR) models between reference chemical data and NIR data were developed using cross validation (leaving one out). The coefficient of determination in calibration (R²) and the root mean square of the standard error of cross validation (RMSECV) for EXC-Na concentration were 0.44 (RMSECV: 0.12 mg kg^–1) for soil with small particle size (SPS-0.053) and 0.77 (RMSECV: 0.09 mg kg^–1) for soils with particle sizes greater than 0.212 mm (SPS-0.212), using the NIR region after second derivative as mathematical transformation. The R² and RMSECV for EXC-Na concentration using PCR were 0.54 (RMSECV: 0.07 mg kg^–1) and 0.80 (RMSECV: 0.03 mg kg^–1) for SPS-0.053 and SPS-0.212 samples, respectively.     

Two successful embryo transfers of mini-donkey embryos in Brazilian Northeastern jennies using an alternative method: Case report

Pregnancy rates after embryo transfer (ET) are disappointing in donkey species. This study aims to report two successful ET of mini-donkey embryos using Brazilian Northeastern jennies as recipients. Eighteen embryo flushes were performed 9 days post-ovulation in two non-pregnant mini-donkeys jennies (11 and 7 cycles per jenny). Eleven embryos (61%, 11/18) were collected and transferred to Brazilian Northeastern jennies 4–6 days post-ovulation by conventional (n = 6) or an alternative (n = 5) technique. The alternative method consisted of inserting a Polansky equine vaginal speculum smeared with lubricant in the vagina of the recipient jenny. The arms of the speculum were extended to allow the visualization of the cervix. Then, using an adapted crafted, elongated, toothed tissue grasping forceps, the external cervical os was held, and the cervix was gently pulled backward, aiming to straight the cervical canal. The ET gun was inserted through the vagina and cervix by visual inspection, and the embryo was released into the uterine lumen. All embryos collected were Grade 1 and classified as Expanded Blastocysts. No jennies become pregnant after conventional ET (0/6), whereas two recipient jennies (40%, 2/5) become pregnant and delivered offspring in the following year after ET using the alternative technique. In conclusion, Brazilian Northeastern jennies can be used as embryo recipients using the alternative method proposed in the present study. However, further investigations are needed to improve the knowledge and results of ET in donkey species.     

利用近红外光谱技术快速分析全株玉米青贮营养成分

研究旨在利用近红外光谱技术(near infrared reflectance spectroscopy,NIRS)建立全株玉米青贮6种营养成分的近红外预测模型,为生产实践中合理利用全株玉米青贮饲料资源提供理论依据。选取玉米青贮样品64份作为定标集,16份作为验证集。利用NIRS结合改良偏最小二乘法(modified partial least squares,MPLS)构建并且验证其建立预测模型的优劣。结果表明:构建的玉米青贮干物质(DM)、粗蛋白(CP)、酸性洗涤纤维(ADF)和粗灰分(Ash)预测模型的交叉验证相关系数(1-VR)分别为0.83、0.80、0.93和0.78,都在0.80左右,可以用于实际预测。粗脂肪(EE)和中性洗涤纤维(NDF)含量预测模型1-VR为0.64和0.40,低于0.80,构建的模型相关性较差,模型还需要进一步优化。     

基于梨枣轻微损伤的可见/近红外光谱判别研究

利用可见/近红外光谱技术对梨枣轻微损伤的分类判别建模方法进行研究。分别采用PLS-LDA(线性)和LS-SVM(非线性)建立判别模型,分析比较不同预处理方式和建模波段对模型精度的影响。结果表明:经9点平滑预处理后的短波近红外(780~1100nm)PLS-LDA模型判别效果最佳,校正集和预测集的正确识别率分别达到97.8%和96.7%。