水泡性口炎病毒人工感染小白鼠的组织学和免疫组织化学观察

水泡性口炎病毒（VSV）具有广泛的宿主范围，临床血清学调查发现，许多动物表现为血清阳性[1]，可以感染多种试验动物和禽类。感染动物大多数表现为阴性感染和持续性感染，本试验以小白鼠为攻毒对象，探讨VSV在体内的致病作用，进一步了解病毒在机体内的分布及其所引起的组织病理学变化。     

三肽囊素对环磷酰胺诱导的免疫器官细胞凋亡的影响

研究了三肽囊素对环磷酰胺诱导的鸡免疫抑制模型中免疫器官细胞凋亡的影响。将180只1日龄粤黄鸡随机分成环磷酰胺组、正常对照组、三肽囊素组以及三肽囊素 环磷酰胺组。利用末端脱氧核苷酸转移酶介导的dTUP缺口末端标记法(TUNEL)，对不同组鸡的免疫器官细胞凋亡进行计数。结果发现，环磷酰胺组细胞凋亡数比对照组明显增多(P＜0．05)，而三肽囊素 环磷酰胺组细胞凋亡数显著少于环磷酰胺组(P＜O．05)；三肽囊素组的细胞凋亡数比环磷酰胺组少，且差异显著(P＜0．05)。由此可知，三肽囊素对环磷酰胺所诱导的细胞凋亡具有抑制作用。     

基于企业性质的社会责任履责动机差异及政策含义

从企业性质的角度出发，分别就履行社会责任的经济动机（价值增值驱动和管理层面对的代理问题驱动）与非经济动机（道德伦理驱动和政治驱动）下，国有与私营企业在履行社会责任动机方面的差异进行初步分析，发现企业的性质、目标决定了我国国有企业比私营企业面临更多的代理问题，私营企业相对国有企业而言更有追逐价值增值而履行社会责任的经济动机，也更加受到寻求政府政治保护等政治因素的驱动。政府应从企业履责动机出发，深刻认识政策法规对企业社会责任的促进作用；通过加强政策导向，直接或者间接促进国有企业和私营企业践行社会责任。     

水分条件对巴音布鲁克高寒湿地CO_2排放的影响

在新疆天山中部巴音布鲁克天鹅湖高寒湿地,以苔草(Carex tristachya)为主要建群种的样地为研究对象,利用英国PP-systems公司生产的便携式土壤呼吸测定系统(CIRAS-2-SRC)研究了不同地表水分条件对天鹅湖高寒湿地夏季土壤CO2排放的影响。结果表明,1)湿润区的生物量大于干燥区;干燥区土壤CO2排放高于湿润区,干燥区土壤CO2排放日变化曲线为单峰曲线,CO2排放最高点出现在当地14:00-16:00,最高值为1.185 0g CO2·m-2·h-1;湿润区土壤CO2排放日变化曲线为双峰曲线,两个峰值分别出现在12:00和16:00,最高值为1.024 0g CO2·m-2·h-1。2)不同水分条件下生物量中凋落物含量影响土壤CO2排放。土壤温度是CO2排放的主要限制因子,且地表干燥区CO2排放与土壤温度的相关性更显著(P0.01)。土壤湿度与CO2排放相关性不显著(P湿润区=0.997,P干燥区=0.409)。     

Cloning of Buffalo BMP1 Gene and its Expression Pattern Investigation in Different Tissues

Buffalo BMP1 gene was cloned in the present study, the BMP1 sequence was systemically analysed by bioinformatics techniques, and the expression level of BMP1 gene in different tissues were also assayed with Real-time fluorescence quantitative PCR (QRT-PCR).The results showed that with RT-PCR a 3 195 bp buffalo BMP1 gene was cloned and sequenced, including the whole ORF of 2 967 bp (coding 988 amino acid).The sequence multialigned results showed that buffalo BMP1 gene shared 99%, 96%, 96%, 96% and 95% of similar amino acid sequence with Bos taurus, Sus scrofa, Equus, Homa sapiens and Mus musclus, respectively.It was predicted that buffalo BMP1 protein contained a signal peptide domain, a preregion, a metalloproteinases domain, five complement-Uegf-BMP-1 domain (CUB domain) and two epitheloid growth factor-like domain (EGF-like domain).In addition, we also analyzed the expression level in different tissues through QRT-PCR, the results showed that BMP1 gene mRNA existed in all nine tissues with the most abundant expression in heart, followed by testis, ovary, genital ridge, while with lower amount of bone and other tissues, the minimal expression in liver was observed.     

2014年全国桑蚕新品种实验室鉴定（陕西点）报告

2014年春季对来自镇江蚕种场、苏州大学、无锡西漳蚕种场、山东广通蚕种集团有限公司及山东农业大学的5对桑蚕新品种,秋季对来自苏州大学、西南大学、中国农业科学院蚕业研究所的3对桑蚕新品种进行了实验室鉴定。通过龄期观察和生命率、茧质、产茧量调查与分析,客观反映参鉴品种在陕西试验点的饲育表现和性状特点。     

贵州省鸟类新纪录——栗树鸭

2020年4月14日,在贵州省贵阳阿哈湖国家湿地公园保育区内(106°39′0.13″E,26°30′28.46″N,1107 m)开展鸟类监测,于浅水沼泽区拍摄到2只雁鸭类,经鉴定为栗树鸭(Dendrocygna javanica)。通过查阅相关文献,该种在贵州省的分布尚未记录过,属贵州省鸟类新纪录。本文对发现地概况、形态特征、生境特征和分布现状以及对该物种的保护进行了简要讨论。     

氮添加对天山高寒草原土壤酶活性和酶化学计量特征的影响

为探究氮添加对高寒草原生态系统土壤酶活性的影响,于2018年在中国科学院巴音布鲁克草原生态系统研究站,选择4个氮添加水平(对照,N0,0 kg·hm^-2·a^-1;低氮,N1,10 kg·hm^-2·a^-1;中氮,N3,30 kg·hm^-2·a^-1;高氮,N9,90 kg·hm^-2·a^-1),开展土壤酶活性对氮添加响应的研究,分析土壤酶活性对氮添加的响应特点,土壤酶化学计量比以及土壤酶活性与土壤环境因子的关系。结果表明:与对照相比,氮添加在N3水平显著增加β-1,4葡萄糖苷酶(βG)、β-D-纤维二糖水解酶(CBH)和β-1,4木糖苷酶(βX)酶活性(P<0.05),N1和N3水平显著增加碱性磷酸酶(AKP)活性(P<0.05),N3水平显著降低多酚氧化酶(PPO)活性(P<0.05),氮添加对亮氨酸氨基肽酶(LAP)活性影响不显著,N3水平下显著增加N-乙酰-β-D氨基葡萄糖苷酶(NAG)活性(P<0.05)。相关分析表明,8种土壤酶活性均与土壤有机碳(SOC、NAG除外)和总磷(TP)显著相关,与土壤总氮(TN)不相关。研究区土壤酶活性C∶N∶P化学计量比为1∶1∶1.2,与全球生态系统的土壤酶活性C∶N∶P的比值1∶1∶1相偏离,表明该研究区土壤微生物生长受磷素限制。冗余分析(RDA)进一步揭示出土壤有机碳和土壤全磷含量是影响土壤酶活性的主要因子。     

种植密度对滴灌马铃薯生长、产量的影响

为了了解耕培土滴灌条件下种植密度对马铃薯生长、产量以及水分利用效率的影响.试验共设密度分别为7.28×10⁴ 株/hm²(RS25),6.67×10⁴ 株/hm²(RS35),5.55×10⁴ 株/hm²(CK)3个处理.结果表明:随着种植密度的增加,株高、茎粗、干物质积累量以及商品薯率均有降低的趋势;产量、水分利用效率随种植密度的增加表现出先增大后减少,其中RS35处理产量和水分利用效率均表现最高,分别达到47 325 kg/hm²和12.05 kg/m³;在马铃薯品质方面,种植密度对马铃薯粗蛋白含量的影响不具有统计学意义;淀粉和维生素C随着密度的大幅增加而降低,其中RS25处理的淀粉较CK降低了5.57%,RS25处理的维生素C较CK降低了7.96%,同时RS35与CK处理不具有统计学意义.综上所述,种植密度为6.67×10⁴ 株/hm²的RS35处理马铃薯高产优质,且水分利用效率最高,为黑龙江地区滴灌马铃薯较为适宜的种植密度.     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.