重庆地区一次冬季强降温过程诊断分析

为了更全面地认识重庆地区冬季强降温发生机制,文章利用常规地面观测资料、探空资料及数值模式资料,采用天气动力学诊断方法,对重庆地区2018年1月22日-29日强降温天气过程的天气系统演变特征、动力结构特征及水汽条件进行分析。结果表明：(1)1月22日-29日冷空气由东北路径侵入重庆地区,72h内日平均温度普遍下降6℃及以上,东北部地区由于先受冷空气影响且海拔普遍偏高,较西部地区先出现大范围降温且最低温度普遍低于西部地区,出现雨雪天气；西部地区在高、低空急流及川东低涡切变线的动力作用下,配合充足的水汽条件较东部地区先出现大范围降雨,东北路冷空气回流至西部地区,并持续低温阴雨天气。(2)贝加尔湖以西的低压系统、冷中心及东北冷涡、高低空急流、中低层低涡切变线是预报重庆地区此次强降温伴随雨(雪)天气的出现时间及影响区域的重要预报着眼点。     

不同土层复配方案对土壤水稳性团聚体及有机质的影响

为探究“治沟造地”重大工程项目（GLCP）中新增耕地快速改良的方法，达到营造良好土壤、提升新增耕地生产能力的目的，以延安羊圈沟流域的GLCP为背景，利用马兰黄土（ML）和红黏土（RC）对新造耕地0~30 cm土层进行复配试验。结果表明：当RC为20 cm、ML为10 cm（T3处理）时，复配层土壤孔隙度较对照处理增加了16.7%，容重下降了11.1%。与对照组相比，T3处理0~10、10~20、20~30 cm土层中>0.25 mm水稳性团聚体含量（W_0.25）显著增加，分别增加了11.8、12.3倍和27.9倍；T2（RC为25 cm、ML为5 cm）、T3处理更利于大团聚体的形成，较对照组除在0.25~0.5、0.5~1 mm的粒级有较大增加外，在2~5 mm和>5 mm粒径范围也有明显增加。0~20 cm土层中，即使在考虑对照组前期土壤有机质积累的情况下，T3处理的土壤有机质也与对照组相近甚至更高，且高于其他试验组，表现出更好的有机质赋存能力。T3处理的玉米生长状况较好，其地上生物量最高，较对照组提高了23.9%。研究表明，当复配土壤RC为20 cm、ML为10 cm时，土壤具有最佳的性状和生产力。试验初步证明土层复配是一种可行的快速营造高质量土壤的方法，该方法可为GLCP新造地的改良及类似土地整治工程的实施提供实践参考。     

玉米XYLPs基因家族表达模式及其蛋白结构分析

通过生物信息学的方法对玉米木质形成素类阿拉伯半乳糖蛋白(xylogen-like arabinogalactan proteins,XYLPs)基因家族的表达模式和蛋白结构进行了分析。ZmXYLPs基因家族成员在染色体上的分布具有一定的偏好性。基因复制事件不仅在基因家族成员数量的扩张和进化中发挥重要作用,同时还可能引起基因表达部位的扩张。根据ZmXYLPs蛋白结构特点,可将其分为两大类。其中仅ZmXYLP10/13/14蛋白存在N连接的糖修饰位点,其余ZmXYLPs蛋白均为O连接糖修饰位点。结果显示,玉米ZmXYLPs的生物学功能可能与其糖基侧链有关,并且其作用并不局限于维管组织发生过程,可能也参与生殖发育过程。     

丙酮溶物对天然橡胶臭氧老化性能影响

天然橡胶中的非胶物质种类和含量影响橡胶的质量和应用性能。本文通过硫化性能、交联密度、耐臭氧老化 性能测试和热重分析研究丙酮溶物含量对天然橡胶臭氧老化性能的影响。结果表明，丙酮溶物可以改善天然橡胶的硫 化性能，提高其交联密度。随着丙酮溶物添加量的增加，天然橡胶的热稳定性、臭氧裂纹显现时间、拉伸强度保持率 逐渐提高并达到最大值。采用衰减全反射傅里叶红外光谱分析仪（ATR-FTIR）分析了天然橡胶臭氧老化前后分子结构 变化，可知橡胶在臭氧老化后出现了氧化官能团。     

正红505玉米花丝多糖结构及其降血糖活性分析

采用水提醇沉法提取正红505玉米花丝中的多糖成分,通过核磁共振波谱法(NMR)、高效液相色谱法(HPLC)、傅里叶变换红外吸收光谱法(FTIR)及气相色谱-质谱联用法(GC-MS)研究该多糖的单糖组成及结构,借助噻唑蓝比色(MTT)细胞试验,研究多糖CSP505对大鼠胰岛细胞RINm5F和人体肝脏细胞HepG2的降血糖活性。结果表明,多糖CSP505可能是一种由D-葡萄糖和D-半乳糖组成的β构型的多糖,其中葡萄糖和半乳糖的比约为3∶1。随着多糖浓度的增加,RINm5F细胞存活力随着增强,加药组中多糖以200、500、1000μg/mL浓度与四氧嘧啶共同作用时,细胞存活率分别提高了16.1%、16.1%、21.1%,达到极显著差异(P0.01);HepG2细胞存活能力也增强,加药组中多糖分别以200、500、1 000μg/mL浓度作用于细胞时,细胞存活力分别为100.4%、101.4%、103.3%。与阴性对照组相比较,加药组中在3个浓度的多糖作用下,腺苷酸环化酶(ADCY4)、糖原磷酸化酶(GPBB)和糖原合酶(GYS2)浓度表现出显著或极显著差异,而cAMP在浓度为1 000μg/mL时也表现出极显著差异。结果表明,该多糖可通过促进ADCY4与cAMP的合成来使胰岛素分泌增加,且可通过抑制糖原分解并促进糖原合成等过程起到降低血糖的作用。     

Linking watershed and microhabitat characteristics: effects on production of Atlantic salmonids (Salmo salar and Salmo trutta)

The spatial scale of environmental factors influencing population dynamics ranges from microhabitat to continental or even global scales. Integration of multiple spatial scales is important in order to understand links between environmental variation and population processes. In the present study, we investigate how multiscale drivers influence the production of stream‐rearing Atlantic salmonids (Atlantic salmon, Salmo salar L. and brown trout, Salmo trutta L.) measured in terms of abundance. Variation in juvenile production was studied using data from single‐pass electrofishing surveys (measured as biomass per m²) from nine rivers. These data were combined with habitat data ranging from an important in‐stream microhabitat variable (shelter availability) to properties of the catchment. Variation in productivity within and among rivers was affected by both properties of in‐stream habitat and catchment properties. Shelter availability and the proportion of the catchment consisting of cultivated land and lakes influenced biomass positively, while catchment area had the opposite effect. For a different set of rivers (N = 20), river gradient and catchment area were shown to positively affect the amount of shelter. Finally, the variables identified in the two preceding analysis were included in the analysis of population productivity using catch statistics from 160 rivers. The proportion of cultivated land and lakes, estimated shelter availability were found to have positive effects. In addition, temperature had a positive effect, while river width had a negative effect. This study shows that combining multiple‐scale environmental factors can explain a substantial proportion of variation in population productivity among and within the populations of Atlantic salmonids.     

气象因子对芒果园桔小实蝇种群动态的影响

桔小实蝇[Bactrocera dorsalis (Hendel)]是芒果的重要害虫之一。试验利用性引诱剂对芒果园桔小实蝇的全年种群动态进行监测，分析气象因子与其种群数量变动的相关性。结果表明，芒果园桔小实蝇雄虫种群数量一年有2个明显高峰，2月为短时高峰，3月种群活动有所下降；5月开始数量逐渐升高，至8月达到高峰，9月开始逐渐下降，到12月至1月为发生低谷。经逐步回归分析发现，气象因子显著影响桔小实蝇雄虫的数量，主要受月平均气温、月平均最低气温和月降水量综合影响。     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

Detect unique molecular structure associated with physiochemical properties in CDC varieties of oat grain with unique nutrient traits [Feed Type vs. Milling Type] in comparison with barley grain using advanced molecular spectroscopy as a non-destructive biological tool

The objective of this study was to determinate grain unique protein inherent molecular structure that are related physiochemical and nutrient profiles in CDC developed oat varieties [CDC Nasser (Feed Type) and CDC Seabiscuit (Milling Type)] grown in cool climate condition in western Canada in comparison with conventional barley variety of CDC Meredith as a control using advanced molecular spectroscopy. Multivariate analyses, including an agglomerative hierarchical cluster analysis (CLA) and principal component analysis (PCA), were performed to identify protein molecular structural differences among the grains. The results revealed that CDC Seabiscuit contained greater (P < 0.05) protein structural Amide I and II than CDC Nasser and CDC Meredith, while the greater (P < 0.005) structural Amide I to II area and height ratios was detected in CDC Meredith. New oat grains had greater (P < 0.05) β-sheet height than barley grains, however, there was no difference in α-helix to β-sheet ratio values among the varieties. In conclusion, CDC Nasser and CDC Meredith had no difference in protein molecular structural features, while CDC Seabiscuit contains different protein structural characteristics as compared to CDC Meredith grain. The molecular structure features are highly associated with physiochemical and nutrient profiles in grains, which indicate that it also affect nutrient utilization and availability.     

基于YOLO v3与图结构模型的群养猪只头尾辨别方法

在利用视频监控技术对群养猪只进行自动行为监测时,对猪只准确定位并辨别其头尾位置对提高监测水平至关重要,基于此提出一种基于YOLO v3(You only look once v3)模型与图结构模型(Pictorial structure models)的猪只头尾辨别方法。首先,利用基于深度卷积神经网络的YOLO v3目标检测模型,训练猪只整体及其头部和尾部3类目标的检测器,从而在输入图像中获得猪只整体及头尾部所有的检测结果;然后,引入图结构模型,描述猪只的头尾结构特征,对每个猪只整体检测矩形框内的头尾部位组合计算匹配得分,选择最优的部位组合方式;对部分部位漏检的情况,采取阈值分割与前景椭圆拟合的方法,根据椭圆长轴推理出缺失部位。在实际猪场环境下,通过俯拍获得猪舍监控视频,建立了图像数据集,并进行了检测实验。实验结果表明,与直接利用YOLO v3模型相比,本文方法对头尾定位的精确率和召回率均有一定提高。本文方法对猪只头尾辨别精确率达到96.22%,与其他方法相比具有明显优势。