考虑水头损失的管道灌溉分水口轮灌分组优化模型

【目的】优化灌溉系统中分水口轮灌分组的灌溉制度,在满足流量要求的条件下节约电能。【方法】提出了在考虑水头损失时不同分水口状态与管道进口压力的关系模型,该模型利用分水口开关0,1状态作为自变量,从管道末端起利用推导的递推公式求出管道进水口的等效水头损失系数。依据该模型,在定流量分组轮灌优化中得到为使分组轮灌功率最小的目标函数。利用遗传算法对上述问题进行了优化求解,并给出了编码方案。【结果】在分水口等间隔布置时,轮灌分组按轮灌分组数等间隔安排所需功率最小,优化后的水头损失系数可以减小到没有优化前的0.772倍。【结论】本研究模型不仅适用于恒定流量的组合优化,也可应用于不同分水口的所需水量不同的随机灌溉以及恒压供水的优化中。     

小球藻遗传转化技术研究进展

小球藻( Chlorella )是一种单细胞真核藻类,属绿藻门、绿藻纲、绿球藻目、小球藻科、小球藻属 [1] 。作为最早开发的真核微藻之一,具有高营养价值、生长快速、结构简单、易工业化集成等显著优点。其细胞形态为球形或椭圆形,直径3~12 μm,呈单生或聚集成群状生长 [2] ,分布广泛,多见于淡水、咸水和土壤中。作为地球上最早的生命之一,小球藻基因比较稳定,至今未见有关其基因自发突变的报道。因其富含蛋白质、脂质、维生素、活性代谢产物等多种营养物质而被公认为具有高附加值和医疗保健作用,已经被广泛应用于保健食品 [3] 、水产养殖 [4] 、生物能源 [5] 等方面,关于小球藻生物技术的研究主要集中在基因组学 [6] 、分子遗传学 [7] 、代谢机理 [8] 、大规模培养 [9] 等方向。     

病原微生物荚膜多糖的生物学功能

荚膜多糖（capsular polysaccharide，CPS）是一种广泛存在于细菌、支原体、部分真菌等菌体表面的碳水化合物。同时，荚膜多糖有助于菌体抵抗干燥和低温等不利环境，并通过在菌体表面形成物理屏障阻碍宿主补体的杀伤与吞噬作用。在长期多种应激-压力环境下，病原菌已进化出多种免疫逃避机制并促进宿主感染；在非病原微生物中，荚膜多糖可正向调节宿主免疫作用，并拮抗机体免疫因子，保护宿主免受病原菌引起的炎症性疾病。本文将结合本团队的相关研究工作，对荚膜多糖的结构、合成调控机制、生物学功能、免疫逃避机制和致病机制，特别是荚膜多糖正向调节宿主免疫系统及其应用潜力等方面作一综述，为病原菌致病机制的研究和疫病的有效防控提供参考依据。     

Age estimation of different tree species using a special kind of an electrically recording resistance drill

The determination of tree age is an important issue for urban green planning, forestry and dendrology; finding non-destructive and quasi-non-destructive methods for this purpose is of great theoretical and practical importance. The resistance drilling method is quasi-non-destructive because the average diameter of an opening that remains after drilling does not exceed 3 mm. Do electrically recording resistance drills allow precise assessment of tree age? The aim of this study is to assess the accuracy of determining the number of tree rings based on an examination of this special kind of drilling resistance profiles for three tree species, the pine Pinus sylvestris L., the oak Quercus robur L., and the birch Betula pendula ROTH. In 2015 and 2016, 15 pine trees, 15 oak trees, and 15 birch trees were randomly selected. For each studied tree, a measurement was conducted using the electrically recording resistance drill IML-Resi E400 with a flat-tipped 1.5/3 mm steel needle (research sample), and an increment core was taken (reference sample). The drill used was not a real Resistograph^®. The analysis of the E400-profiles underestimated the number of tree rings; the mean bias error (MBE) values were –6.5, –2.5, and –6.0 years for pine, oak, and birch, respectively. The proportion of investigated trees with less than five years difference between the research and reference samples varied from 38.4 (birch) to 66.7 (oak) percent. The accuracy of tree age determination was lowest for birch and highest for oak. The binomial generalised linear model (GLM) revealed that the most accurate tree age assessments were obtained from tree rings wider than 2 mm. The measurements clearly showed that the electrically recording resistance drill IML-Resi E400 enables a quick, although approximate, tree age assessment. Future research should concentrate on electronically regulating and recording drills, providing a higher spatial and signal resolution, and a stronger correlation to wood density.     

Variability in the performance of juvenile Chinook salmon is explained primarily by when and where they resided in estuarine habitats

Estuarine habitats provide rearing opportunities for the juvenile life stage of anadromous fishes. Because survival is positively correlated with juvenile performance, these estuarine habitats play an important role in population abundance and productivity. To provide information for the recovery of several depressed stocks of Chinook salmon in the Columbia River Basin, we sought to identify the factors that explain variability in performance. Using otolith‐derived estimates of juvenile somatic growth rate as an index of recent performance, we observed a negative nonlinear relationship between growth rate and day of year, and a decreasing and increasing trend of growth rate over the 8 years of this study and distance from the river mouth respectively. Using a generalised linear modelling approach, we found that variability in juvenile somatic growth rate was best explained by where and when individuals were collected, their body size, contaminant loads, stock of origin, and whether a fish was hatchery produced or unmarked. Lastly, we argue that a considerable improvement to the growth rate of juveniles in estuarine habitats is physiologically possible. The results of this 8‐year study provide a baseline of the performance of juvenile Chinook salmon to evaluate habitat restoration programs and to compare against future anthropogenic conditions.     

武夷岩茶种质资源遗传多样性与亲缘关系的SRAP分析

本研究利用SRAP-PCR反应体系,从88对SRAP引物组合中筛选出43对引物组合,对武夷岩茶主要的30份种质资源进行SRAP分析,共扩增出385条带,其中具有多态性的有236条带,占总数的61.30%,表明30份武夷岩茶种质呈现一定的遗传多样性。武夷岩茶种质资源间遗传距离变幅在0.31~0.98之间,平均为0.63,基于SRAP标记利用系统聚类法把武夷岩茶分为三大类,为武夷岩茶遗传研究、品种选育与资源保护提供参考。     

智慧图书馆微观知识生态系统运行机理研究

伴随多元化时代的来临,用户的知识需求日益多元化、专业化,对图书馆服务提出了新的挑战。对智慧图书馆微观知识生态系统运行机理的研究,能够为新型知识服务提供理论基础,保障知识资源进行有效的优化整合,实现服务升级。文章在简要分析智慧图书馆微观知识生态系统四大要素的基础上,着重从社会发展、技术进步,知识富集、优化调整和需求驱动、服务升级三方面探讨其形成动因,重点分析智慧图书馆微观知识生态系统的生命周期,最后从合作、循环和保障三方面探讨其运行机理。     

AMF促进植物吸收矿质元素的生理机制及对土壤硫素的影响

由于人口不断增长,人们要快速得到高产高质粮食的要求迫切,大量使用化肥,导致了有害物质残留,土壤或水污染,土壤板结或某些营养元素相对匮乏等一系列环境问题。丛枝菌根(Arbuscular mycorrhiza, AM)是土壤内常见的共生结构,由AM真菌(AMF)与土壤根系形成。已有研究表明其可通过分泌代谢物,增大根系与土壤接触面积,调节某些土壤元素存在形式等多种途径,影响植物对土壤元素的吸收转运。硫是维持植物生长发育的必需元素之一,可由于植物对S的需要并不如N,P,K大量,现代农业在对土壤进行施肥过程中往往将其忽略,因此土壤缺S正逐渐成为中国农业发展的限制因素。为了解决以上问题,本文将主要对AMF影响植物吸收土壤元素的途径及生理机制进行总结分析。并根据其作用方式特点进一步分析AM共生对植物吸收转运硫素的影响,指出AMF作为生物化肥的可行性,以期为解决现代化肥的替代问题以及土壤缺硫问题提供新的思路。     

基于部首嵌入和注意力机制的病虫害命名实体识别

为了解决农业病虫害命名实体识别过程中存在的内在语义信息缺失、局部上下文特征易被忽略和捕获长距离依赖能力不足等问题，以农业病虫害文本为研究对象，提出一种基于部首嵌入和注意力机制的农业病虫害命名实体识别模型(Chinese agricultural diseases and pests named entity recognition with joint radical embedding and self attention, RS-ADP)。首先，该模型将部首嵌入集成到字符嵌入中作为输入，用以丰富语义信息。其中，针对部首嵌入设计了3种特征提取策略，即卷积神经网络(Convolutional neural network, CNN)、双向长短时记忆网络(Bidirectional long short term memory network, BiLSTM) 和CNN-BiLSTM；其次，采用多层不同窗口尺寸的CNNs层提取不同尺度的局部上下文信息；然后，在BiLSTM提取全局序列特征的基础上，采用自注意力机制进一步增强模型提取更长距离依赖的能力；最后，采用条件随机场(Conditional random field, CRF)联合识别实体边界和划分实体类别。在包含11个类别和24715条标注样本的农业病虫害自制语料上进行了实验。结果表明，本文模型RS-ADP在该数据集上精确率、召回率和F1值分别为94.16%、94.47%和94.32%；在具体实体类别上，RS-ADP在作物、病害、虫害等易识别实体上F1值高达95.81%、97.76%和97.23%。同时，RS-ADP在草害、病原等难以识别实体上F1值仍保持86%以上。实验结果表明，本文所提模型能够有效识别农业病虫害命名实体，其识别精度优于其他模型，且具有一定的泛化性。