典型旱作农田土壤氧化亚氮排放的氨氧化微生物相对贡献

氨氧化过程对氧化亚氮（N2O）排放具有重要贡献。在不同土壤类型和农田管理下,氨氧化微生物类群对N2O排放的相对贡献组成规律还缺乏系统的研究。本研究选取典型农田耕层土壤（潮土、黑土、砖红壤）,以及有机肥改良的砖红壤剖面土壤,采用选择性抑制法（乙炔和辛炔）研究氨氧化细菌（AOB）、氨氧化古菌和全程硝化菌（AOA+comammox）以及异养硝化菌对土壤硝化潜势、净硝化速率及N2O排放的相对贡献。结果表明,在耕层土壤中,潮土、黑土和砖红壤的pH分别是8.0、6.7和5.7,硝化潜势分别是N 32.5、6.6和4.8 mg?kg-1?d-1,净硝化速率分别是N 7.1、3.0和0.5 mg?kg-1?d-1,7天N2O累积排放量分别是N 38.0、35.4和8.7 μg?kg-1。AOB主导耕层土壤的硝化潜势,对硝化潜势的贡献分别是82%、58%和100%。对于净硝化速率,在潮土和砖红壤中,AOB和AOA+comammox贡献相当（均在30%~40%）,而黑土中由AOB主导（72%）。AOB主导耕层土壤的N2O排放,对N2O排放的贡献分别是72%、92%和58%。在改良的砖红壤剖面土壤中,在0~20 cm、20~40 cm和40~60 cm,pH分别是7.0、5.5和4.9,硝化潜势分别是N 6.6、2.0和1.1 mg?kg-1?d-1,净硝化速率分别是N 4.1、0.9和0.2 mg?kg-1?d-1,N2O排放分别是N 16.3、6.5和2.8 mg?kg-1?d-1。随土壤由深层至表层,硝化潜势、净硝化速率及N2O排放显著提高。AOA+comammox主导表层硝化潜势及净硝化速率的提高（分别贡献63%和54%）,AOB主导N2O排放的增加（贡献54%）。本研究为制定与土壤氨氧化特性及土壤性质相匹配的N2O减排措施提供了新的科学依据。     

紫色土光谱特征及其碱解氮的预测研究

文章分析探索了应用可见近红外光谱技术快速、高效、便捷测定土壤营养参数的可能性。采集蓬莱镇组紫色土样本,比对分析了不同肥力水平、土壤厚度和土壤粒径条件下采集土壤光谱对可见近红外光谱特征的影响,筛选出不同厚度、粒径土壤条件下的碱解氮含量预测模型。研究结果表明,土壤样本厚度为30mm时具有最大的光谱反射率,建立的氮含量预测模型效果最佳,校正集和验证集的相关系数分别为0.84和0.83,均方根误差分别为1.79和1.87。土样粒径在0.25-0.85mm时氮含量的预测效果最佳,校正集和验证集的相关系数均超过0.8,且均方根误差较小;但当土样粒径<0.25mm时,氮含量预测模型效果明显下降。采用20目（<0.85mm）过筛、30mm厚度土壤样本采集可见近红外光谱和偏最小二乘法（PLS）模型预测,可以实现对蓬莱镇组紫色土碱解氮含量的较好光谱预测。     

油菜秸秆饲料化潜力及展望

为了研究油菜秸秆饲料化利用技术,综述了国内外近30年对油菜秸秆的研究,发现油菜秸秆粗脂肪和粗蛋白含量较高,饲用潜力大,但油菜秸秆因其木质化程度高、适口性差在实际生产中难以饲喂而存在大量丢弃、焚烧的情况。有关油菜秸秆饲料化技术的研究还存在不足,油菜秸秆饲用的限制因素难以得到解决,因此,今后还需研究如何改善油菜秸秆的适口性以增加动物的采食量,提高油菜秸秆的利用效率。本研究从油菜秸秆的饲用潜力出发,探讨了限制油菜秸秆饲用的因素,综述了目前已有的氨化、青贮、微贮等油菜秸秆饲料化技术,分析了不同技术的优缺点,并进一步提出了未来油菜秸秆饲料化有可能的研究方向。     

Basal internode elongation of rice as affected by light intensity and leaf area

Short basal internodes are important for lodging resistance of rice(Oryza sativa L.).Several canopy indices affect the elongation of basal internodes,but uncertainty as to the key factors determining elongation of basal internodes persists.The objectives of this study were(1)to identify key factors affecting the elongation of basal internodes and(2)to establish a quantitative relationship between basal internode length and canopy indices.An inbred rice cultivar,Yinjingruanzhan,was grown in two split-plot field experiments with three N rates(0,75,and 150 kg N ha−1 in early season and 0,90,and 180 kg N ha−1 in late season)as main plots,three seedling densities(16.7,75.0,and 187.5 seedlings m−2)as subplots,and three replications in the 2015 early and late seasons in Guangzhou,China.Light intensity at base of canopy(Lb),light quality as determined from red/far-red light ratio(R/FR),light transmission ratio(LTR),leaf area index(LAI),leaf N concentration(NLV)and final length of second internode(counted from soil surface upward)(FIL)were recorded.Higher N rate and seedling density resulted in significantly longer FIL.FIL was negatively correlated with Lb,LTR,and R/FR(P<0.01)and positively correlated with LAI(P<0.01),but not correlated with NLV(P>0.05).Stepwise linear regression analysis showed that FIL was strongly associated with Lb and LAI(R2=0.82).Heavy N application to pot-grown rice at the beginning of first internode elongation did not change FIL.We conclude that FIL is determined mainly by Lb and LAI at jointing stage.NLV has no direct effect on the elongation of basal internodes.N application indirectly affects FIL by changing LAI and light conditions in the rice canopy.Reducing LAI and improving canopy light transmission at jointing stage can shorten the basal internodes and increase the lodging resistance of rice.     

Community structure and carbon and nitrogen storage of sagebrush desert under grazing exclusion in Northwest China

Overgrazing is regarded as one of the key factors of vegetation and soil degradation in the arid and semi-arid regions of Northwest China.Grazing exclusion(GE)is one of the most common pathways used to restore degraded grasslands and to improve their ecosystem services.Nevertheless,there are still significant controversies concerning GE’s effects on grassland diversity as well as carbon(C)and nitrogen(N)storage.It remains poorly understood in the arid desert regions,whilst being essential for the sustainable use of grassland resources.To assess the effects of GE on community characteristics and C and N storage of desert plant community in the arid desert regions,we investigated the community structure and plant biomass,as well as C and N storage of plants and soil(0-100 cm depth)in short-term GE(three years)plots and adjacent long-term freely grazing(FG)plots in the areas of sagebrush desert in Northwest China,which are important both for spring-autumn seasonal pasture and for ecological conservation.Our findings indicated that GE was beneficial to the average height,coverage and aboveground biomass(including stems,leaves and inflorescences,and litter)of desert plant community,to the species richness and importance values of subshrubs and perennial herbs,and to the biomass C and N storage of aboveground parts(P<0.05).However,GE was not beneficial to the importance values of annual herbs,root/shoot ratio and total N concentration in the 0-5 and 5-10 cm soil layers(P<0.05).Additionally,the plant density,belowground biomass,and soil organic C concentration and C storage in the 0-100 cm soil layer could not be significantly changed by short-term GE(three years).The results suggest that,although GE was not beneficial for C sequestration in the sagebrush desert ecosystem,it is an effective strategy for improving productivity,diversity,and C and N storage of plants.As a result,GE can be used to rehabilitate degraded grasslands in the arid desert regions of Northwest China.     

PEDV N蛋白的原核表达纯化及B细胞抗原表位预测分析

本研究旨在对猪流行性腹泻病毒(porcine epidemic diarrhea virus,PEDV)N基因进行克隆构建、表达与其B细胞抗原表位性质的预测。将PEDV的N基因进行PCR扩增,克隆到原核表达载体pET-28a(+)中,经酶切验证获得阳性克隆,将阳性克隆在表达菌E. coli BL21(DE3)中表达。通过对表达条件及纯化条件的优化,获得高纯度表达蛋白。利用生物信息同源模型化软件Swiss-Pdb Viewer建立PEDV-N蛋白的3D结构,并根据生物信息学软件DNA-Star预测PEDV-N蛋白的二级结构、抗原性、亲水性和表面可及性分析,综合分析预测其B细胞抗原表位。经预测PEDV-N蛋白氨基酸序列中存在13个B细胞优势抗原表位区域。研究结果将进一步为PEDV-N蛋白体外表达产物的应用及研制基因工程疫苗提供理论基础。     

太子参须提取物对鸭流感病毒体外试验初探

为尝试性探究太子参须提取物对鸭H9N2亚型流感病毒体外生长的抑制作用,本文基于TCID50试验检测鸭H9N2亚型流感病毒体外感染不同处理组的MDCK细胞.结果 表明,太子参须提取物高低剂量组(75％、25％)和黄芪多糖阳性对照组均对鸭H9N2亚型流感病毒体外生长产生抑制,且太子参须提取物高剂量组(75％)的抑制作用最优...     

基于非线性势函数法的手写体数字识别

提出了基于非线性势函数的一种几何分类方法,设计了利用电势理论来改造决策面判别函数和利用非线性势函数对手写数字进行分类的算法。以该算法为核心构造的分类器可改善针对不同人写字习惯的分类效果。用VC 实现了该算法,结果表明该算法能减小分类时的错误率,对手写体数字的识别有较好的效果,识别率能达到97%。     

水文分异条件下光养生物膜藻类对氮/磷的响应

光养生物膜是河流生态系统中重要的初级生产者,在河流生物地球化学循环中扮演重要角色。然而,河流水文状态及营养盐差异引起的生境异质性对光养生物膜藻类的影响未知。本研究在微型跑道池模拟流水(0.5 m/s)和静水(0 m/s)条件的基础上,通过设置不同浓度氮(1.51, 2.51和5.51 mg/L)、磷(0.1, 0.2和0.4 mg/L)及氮磷比(8, 16和32)条件培养野外采集的原位生物膜及人工基质,探究水文分异和营养变化对河流光养生物膜藻类物种组成及密度的影响。非度量多维排序(NMDS)分析结果表明,差异水文条件下,原位和建群生物膜藻类群落在梯度氮、磷和氮磷比环境中均呈现明显分离(PERMANOVA,P < 0.001),且建群生物膜中各分组藻类群落具有更明显的差异。双因素方差分析结果表明,生物膜中硅藻、蓝藻和绿藻的生长对营养盐与水文变化的响应并不一致,其中磷处理中,磷与流速单一及其交互效应显著影响了大多数藻类的生长及建群(P < 0.001);而氮处理中,氮与流速的交互效应仅对建群生物膜藻类影响显著(P < 0.001)。研究结果也发现,藻类在静水环境更有利于建群生物膜的形成,且静水-高营养盐环境更有利于蓝藻和绿藻的生长。这些结果说明,生物膜建群初期易受到水文扰动的影响,且水文分异和氮、磷影响了光养生物膜藻类的响应模式,研究为河流生态保护提供了新视角。