乳酸菌复合系和植物乳杆菌提高柳枝稷青贮效果

该文旨在探讨接种乳酸菌复合系SGL和植物乳杆菌（Lactobacillus plantarum）对柳枝稷青贮效果的影响。以营养生长阶段的柳枝稷为原料,分别接种1 OD600/kg 鲜质量的SGL和Lactobacillus Plantarum,以不接菌的处理作为对照。在发酵第3、10、20和30天开罐取样进行检测分析发酵饲料品质,通过短期人工瘤胃技术测定体外瘤胃发酵参数的变化,并运用高通量测序技术分析原料和青贮料的细菌多样性。结果表明：接种乳酸菌复合系SGL和Lactobacillus Plantarum均能有效抑制Enterobacter和Clostridium,使Lactobacillus成为控制发酵的优势菌,加快青贮过程中pH值的下降速率,提高柳枝稷青贮饲料品质,并提高柳枝稷青贮料的瘤胃发酵效果,复合菌系SGL比纯培养的Lactobacillus Plantarum的效果更突出。     

Predicting Cotton Lint Yield Maps from Aerial Photographs

It is generally accepted that aerial images of growing crops provide spatial and temporal information about crop growth conditions and may even be indicative of crop yield. The focus of this study was to develop a straightforward technique for creating predictive cotton yield maps from aerial images. A total of ten fields in southern Georgia, USA, were studied during three growing seasons. Conventional (true color) aerial photographs of the fields were acquired during the growing season in two to four week intervals. The aerial photos were then digitized and analyzed using an unsupervised classification function of image analysis software. During harvest, conventional yield maps were created for each of the fields using a cotton picker mounted yield monitor. Classified images and yield maps were compared quantitatively and qualitatively. A pixel by pixel comparison of the classified images and yield maps showed that spatial agreement between the two gradually increased in the weeks after planting, maintained spatial agreement of between 40% and 60% during weeks eight to fourteen, and then gradually declined again. The highest spatial agreement between a classified image and a yield map was 78%. The highest average agreement was 52% and occurred 9.9 weeks after planting. The visual similarity between the classified images and the yield maps were striking. In all cases, the dates with the best visual agreement occurred between eight and ten weeks after planting, and generally, during July for southern Georgia. This method offers great potential for offering cotton farmers early-season maps that predict the spatial distribution of yield. Although these maps can not provide magnitudes, they clearly show the resulting yield patterns. With inherent knowledge of past performance, farmers can use this information to allocate resources, address crop growth problems, and, perhaps, improve the profitability of their farm operation. These maps are well suited to be offered to farmers as a service by a crop consultant or a cooperative.     

基于模型预测控制的汽车底盘协调控制策略

通过电子控制系统主动干预车辆的纵向、横向和垂向动力学特性,可以提高车辆的稳定性和操纵性,进而保证车辆的安全行驶。将主动转向、主动横摆力矩控制和主动悬架结合,根据轮胎的力学特性,利用模型预测控制策略,通过轮胎力分配,实现底盘三向动力学的协调控制,并进行了仿真验证,结果表明与两向动力学协调控制相比,该控制策略可以有效提高整车的主动安全性。     

Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: a case study of Iberian Copris species

Dung beetle populations, in decline, play a critical ecological role in extensive pasture ecosystems by recycling organic matter; thus the importance of their conservation status. Presence data available for Copris hispanus (L.) and Copris lunaris (L.) (Coleoptera, Scarabaeidae) in Comunidad de Madrid (CM), and BIOMAPPER, a GIS-based tool, was used to model their environmental niches. The so derived potential distributions of both species were used to exemplify the utility of this kind of methodologies in conservation assessment, as well as its capacity to describe the potential sympatry between two or more species. Both species, distributed along a Dry-Mediterranean to Wet-Alpine environmental conditions gradient, overlap in areas of moderate temperatures and mean annual precipitations in the north of CM. Copris are poorly conserved in the existing protected sites network, but protection provided by new sites included in the future Natura 2000 Network will improve the general conservation status of these species in CM.     

Microbial dynamics in an anaerobic soil slurry amended with glucose, and their dependence on geochemical processes

Under anoxic conditions, microbial activities interact closely with geochemical reactions and consequently affect soils, underlying aquifers, and the atmosphere. Recent studies have noted the relationships between microbial biodiversity and environmental conditions, but the dynamics of numerous coexisting microbial groups in connection with soil biogeochemical processes has never been investigated. In this work, we investigated the dynamics of anaerobic microbial populations using a new method combining PCR-SSCP and epifluorescent direct counts, and analysed these results in the light of biogeochemical changes. Batch incubations were performed over an 8-day period on a calcic cambisol (WRB) incubated anaerobically, either without amendment (treatment C) or after adding glucose (treatment +G). In treatment +G, the predominant microbial processes included (i) NO₃⁻ and NO₂⁻ reduction during the first 12 and 24 h of incubation respectively, (ii) fermentations during the first 6 days with non-symbiotic N₂ fixation between days 1 and 6, enabling bacterial growth during this period, and probably (iii) reduction of FeIII by H₂ oxidation throughout the incubation period. In treatment C, microbiological and geochemical measurements revealed no prominent microbial activities, and the PCR-SSCP method led to complex bacterial density profiles without prominent peaks. In treatment +G, 78 microbial groups were distinguished; these were divided into seven sets (A to G) according to their dynamics. Bacteria belonging to sets A, E and F grew during the period of intense fermentation and were probably able to fix N₂, as is the case with Clostridium butyricum (set A). Bacteria belonging to sets B, D, and G were probably able to reduce FeIII to FeII with concomitant oxidation of H₂ into H₃O⁺, but unable to fix N₂. Two microbial groups in these sets were closely related to Clostridium favosporum (set B) and the genus Bacillus (set B). Bacteria belonging to class C were probably only able to reduce N oxide(s). Lastly, we obtained two similar estimates of the gross increase in microbial biomass by taking into account either (i) the sum of gross increases for the 78 microbial groups, or (ii) the energy yield of catabolic reactions minus the energy requirement for N₂ fixation.     

兽医微生物学实验教学改革

为提高兽医微生物学实验教学质量,增强学生对实验操作技能的实践应用能力和创新能力,对传统实验课程教学进行探索性改革.通过加强实验室安全管理,改善实验室条件,优化课程体系,并将实验教学与科研创新有机结合,同时改革效果评价模式等,有效提高了兽医微生物实验教学质量,提高了学生学习积极性和自主性,提升了学生的综合实验素养.     

巴氏杀菌乳中金黄色葡萄球菌的生长预测模型构建

巴氏杀菌乳中金黄色葡萄球菌污染可能会产生肠毒素,对人体健康造成危害。分别监测在4、10、16、20、24、28℃储藏条件下金黄色葡萄球菌在巴氏杀菌乳中的生长数据,采用Modified Gompertz模型、Logistic模型、Huang模型和Baranyi模型构建金黄色葡萄球菌动力学一级模型,采用平方根模型和Arrhenius模型建立二级模型以描述温度与相对最大生长速率(μ_max)的关系。结果显示,各温度下Modified Gompertz模型的拟合度更优,决定系数(R²)>0.98,均方根误差(RMSE)<4.6,为最合适的一级模型。二级模型中,Arrhenius模型的拟合度更优(R²=0.99,RMSE=0.60)。相较于平方根模型,外部验证显示Arrhenius模型的精确度因子(A_f)和偏差因子(B_f)分别为1.39和0.87,较接近于1,说明预测效果更好。研究结果可为巴氏杀菌乳中金黄色葡萄球菌的风险评估提供数据基础,为乳品货架安全期预测提供科学依据。     

兽医微生物学设计性实验教学探索

兽医微生物学实验教学中,增设了2个设计性试验,学生根据试验要求查阅资料、制定试验方案、独立进行试验操作、结果判断与分析,使学生牢固掌握了病原微生物的诊断程序,提高了学生分析问题、解决问题的能力,是兽医微生物学试验教学改革的有益尝试。     

现代食品微生物学原理与应用研究生课程教学改革探索

现代食品微生物学原理及应用是食品科学与工程硕士研究生需要掌握的一门重要课程。在教学过程中,优化教学内容、创新教学方法、改革实验教学,有助于提高教学质量,培养研究生良好的科学精神和创新能力。     

A multicentric retrospective study of serum/plasma urea and creatinine concentrations in dogs using univariate and multivariate decision rules to evaluate diagnostic efficiency

BACKGROUND: Urea and creatinine are the most frequently used indirect markers in plasma and serum of glomerular filtration rate in dogs. Both have been shown to lack sensitivity but their diagnostic efficiency for the diagnosis of kidney disease has been minimally investigated. OBJECTIVE: The purpose of this retrospective study was to investigate the influence of possible factors of variation on both analytes and to determine whether specific decision rules should be drawn up for subpopulations of dogs. METHODS: The results of urea and creatinine measurements, breed, sex, age, and health status (healthy, renal disease, or nonrenal disease) of 3822 dogs were collected from the archives of 5 veterinary clinics. Data were analyzed with univariate and multivariate decision rules with and without adjustment. RESULTS: There were significant effects and interactions of almost all of the sources of variation. Slight improvements in diagnostic efficiency were obtained by adjusting the decision rules to these sources of variations. Univariate decision rules gave approximately the same diagnostic efficiency for urea and creatinine concentrations, with sensitivity and specificity in the range of 70% and 90%, respectively, using the upper limit of the reference interval as the threshold value. Multivariate decision rules provided only minor improvements in diagnostic efficiency. CONCLUSION: Simultaneous measurement of both urea and creatinine is of limited diagnostic value over the analysis of a single variable. Creatinine is the preferred analyte as it is affected by fewer extrarenal factors of variation.