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.     

狗尾草应用基础的研究进展

狗尾草具有NADP-ME型C4光合作用,适合高光效形成机制的研究,生命周期短暂,基因组较小,植株低矮,种子数量多,便于进行遗传操作,被认为是研究C4光合作用的模式物种,并且狗尾草生长要求简单,抗旱耐盐,适应性广,与谷子、柳枝稷近缘,又是理想的旱生禾本科粮食作物和生物能源植物的遗传研究模型.该研究介绍了狗尾草的研究基础,综述了狗尾草的生长发育特性、生理生化特性、种质资源、功能基因以及药用价值的研究进展,并对狗尾草的发展趋势进行展望.     

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.     

浅析河北省太行山区生态经济沟的可持续发展

河北省太行山区生态经济沟经过20多年的发展已取得了一定的成绩,在促进农业经济发展方面发挥了重要作用.面对新的形势,如何推进生态经济沟健康持续发展是一个重要课题.文章以河北省太行山区生态经济沟发展的现状为切入点,以生态经济相互协调为前提,以山区环境和资源、人口为依据,提出了建设农村高效农业,促进农村支柱产业发展等一系列建...     

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.