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Search Results: 1 - 10 of 268296 matches for " YANG Wu-De "
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Yang Hai,Cai Wu-de,Xu Bei-xue,Wu Jin-lei,

中国物理 B , 2001,
Abstract: The dependence of long wavelength photoemission upon the size of Ag nanoparticles embedded in a BaO semiconductor is predicted and discussed theoretically. The calculated results show that the increase in the diameter of the Ag nanoparticle, in the range from 1.5 to 37.0nm, leads to the emergence of a roughly Gaussian form of the photoemission spectra and the peaks become markedly narrower. The results also show that the increase in the diameter of the Ag nanoparticle leads to the decrease of the long wavelength threshold. The incident light wavelength corresponding to the peak value of the photoemission gets bigger with the increase of the size of Ag nanoparticles, thus showing a redshift.
Pollen Analysis of Natural Honeys from the Central Region of Shanxi, North China
Xiao-Yan Song, Yi-Feng Yao, Wu-De Yang
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0049545
Abstract: Based on qualitative and quantitative melissopalynological analyses, 19 Chinese honeys were classified by botanical origin to determine their floral sources. The honey samples were collected during 2010–2011 from the central region of Shanxi Province, North China. A diverse spectrum of 61 pollen types from 37 families was identified. Fourteen samples were classified as unifloral, whereas the remaining samples were multifloral. Bee-favoured families (occurring in more than 50% of the samples) included Caprifoliaceae (found in 10 samples), Laminaceae (10), Brassicaceae (12), Rosaceae (12), Moraceae (13), Rhamnaceae (15), Asteraceae (17), and Fabaceae (19). In the unifloral honeys, the predominant pollen types were Ziziphus jujuba (in 5 samples), Robinia pseudoacacia (3), Vitex negundo var. heterophylla (2), Sophora japonica (1), Ailanthus altissima (1), Asteraceae type (1), and Fabaceae type (1). The absolute pollen count (i.e., the number of pollen grains per 10 g honey sample) suggested that 13 samples belonged to Group I (<20,000 pollen grains), 4 to Group II (20,000–100,000), and 2 to Group III (100,000–500,000). The dominance of unifloral honeys without toxic pollen grains and the low value of the HDE/P ratio (i.e., honey dew elements/pollen grains from nectariferous plants) indicated that the honey samples are of good quality and suitable for human consumption.
Effect of transgenic Bt cotton leaves on soil microbial community diversity


中国生态农业学报 , 2010,
Abstract: The diversity of soil microbial community and utilization pattern of polymer, amine, amino acid, carbohydrate, carboxylic acid and miscellaneous carbons were assessed via Biolog method on the 10th, 25th, 40th, 55th and 70th day of transgenic Bt cotton ground leaves decomposition. The results show decrease in soil microbial community richness and diversity, and increase in concentration index with ground leaves of transgenic Bt cotton. Ground leaves of transgenic Bt cotton has no effect on polymer and miscellaneous carbon utilization by soil microbes. It, however, obviously improves amine, amino acid and carbohydrate carbon utilization and also significantly debases carboxylic acid carbon utilization at the early stage of decomposition. Principal component analysis indicates that transgenic Bt cotton ground leaves have a sustained influence on indigenous soil microbial community structure and function.
Changes in NDVI and yield of winter wheat cultivars with different plant types
不同株型品种冬小麦NDVI 变化特征及产量分析

FENG Mei-Chen,YANG Wu-De,

中国生态农业学报 , 2011,
Abstract: Plant type and irrigation scheme are key influencing factors of real-time yield estimation and monitoring of winter wheat in precision farming. In this paper, MODIS remote sensing data were used in combination with GPS and ground-truth non-remote sensing data to determine the dynamics of normalized difference vegetation index (NDVI) of winter wheat cultivars with different plant types under irrigation and non-irrigation conditions. The relationship between NDVI and yield of different winter wheat cultivars in different growth stages was then analyzed. Results showed the trends in NDVI with developmental stages of different wheat cultivars were same, following a low-high-low curve. There were obvious differences in NDVI from jointing to booting stages for different cultivars, and NDVI for cultivars with horizontal plant types was higher than that for cultivars with erect plant types. It implied that the jointing-to-booting stage was the best period for identifying plant types of winter wheat cultivars. Even for the same cultivar, mean NDVI was obviously different at each growth stage for irrigated and non-irrigated lands. NDVI for irrigated winter wheat was higher than that for non-irrigated winter wheat, with a notable difference especially at the early heading stage. At early heading stage, NDVI was strongly correlated with yield in irrigated and non-irrigated lands. However, regression equation based on NDVI both in the early heading and filling stages gave better prediction for wheat yield than that based on NDVI only in the early heading stage. This was especially the case for non-irrigated wheat fields.
Integrating Remote Sensing and GIS for Prediction of Winter Wheat (Triticum aestivum) Protein Contents in Linfen (Shanxi), China
Mei-chen Feng, Lu-jie Xiao, Mei-jun Zhang, Wu-de Yang, Guang-wei Ding
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0080989
Abstract: In this study, relationships between normalized difference vegetation index (NDVI) and plant (winter wheat) nitrogen content (PNC) and between PNC and grain protein content (GPC) were investigated using multi-temporal moderate-resolution imaging spectroradiometer (MODIS) data at the different stages of winter wheat in Linfen (Shanxi, P. R. China). The anticipating model for GPC of winter wheat was also established by the approach of NDVI at the different stages of winter wheat. The results showed that the spectrum models of PNC passed F test. The NDVI4.14 regression effect of PNC model of irrigated winter wheat was the best, and that in dry land was NDVI4.30. The PNC of irrigated and dry land winter wheat were significantly (P<0.01) and positively correlated to GPC. Both of protein spectral anticipating model of irrigated and dry land winter wheat passed a significance test (P<0.01). Multiple anticipating models (MAM) were established by NDVI from two periods of irrigated and dry land winter wheat and PNC to link GPC anticipating model. The coefficient of determination R2 (R) of MAM was greater than that of the other two single-factor models. The relative root mean square error (RRMSE) and relative error (RE) of MAM were lower than those of the other two single-factor models. Therefore, test effects of multiple proteins anticipating model were better than those of single-factor models. The application of multiple anticipating models for predication of protein content (PC) of irrigated and dry land winter wheat was more accurate and reliable. The regionalization analysis of GPC was performed using inverse distance weighted function of GIS, which is likely to provide the scientific basis for the reasonable winter wheat planting in Linfen city, China.
Polymorphism of Glu-1 locus in hexaploid triticale germplasm resources

WANG Shu-Guang,SUN Dai-Zhen,LI Rui,LI Xiao-Yan,YANG Wu-De,
,孙黛珍,李 瑞,李晓燕,杨武德

中国生态农业学报 , 2013,
Abstract: Hexaploid triticale (a new species) was artificially synthesized by crossing tetraploid wheat with rye. Its processing quality was related to its HMW-GS composition. To provide reference for the processing and utilization of hexaploid triticale germplasm resources, HMW-GS composition at Glu-1 locus was investigated in 101 samples from Xinjiang and 11 accessions from Poland using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). Results showed that 3 1(a), 2*(b), Null(c) ]; 8 7(a), 7+8(b), 7+9(c), 6+8(d), 20(e), 13+19(g), 7+18(r), 6.8+20y(s)] and 6 1r+4r(a), 2r+6.5r(b), 6r+13r(c), 2r+9r(d), 6.5r(e), 0.8r+6r(f)] alleles were encoded by Glu-A1, Glu-B1 and Glu-R1, respectively. This indicated that alleles at Glu-R1 were the richest. Null(c) at Glu-A1, 7+18(r) at Glu-B1 and 6r+13r(c) at Glu-R1 were found to be the main subunits, occupying 58.93%, 67.90% and 58.00%, respectively. Other subunits such as 1(a) at Glu-A1; 7(a), 6+8(d), 13+19(g) and 6.8+20y(s) at Glu-B1; and 1r+4r(a) and 0.8r+6r(f) at Glu-R1 were only detected in a few varieties. 30 HMW glutein patterns were found in 121 accessions of Null, 7+18, 6r+13r (c, r, c) and 2*. Also only 7+18, 6r+13r (b, r, c) were the main accessions, occupying 16.91% and 16.02%, respectively. Some distinctive glutein patterns such as 2*, 7+18, 2r+9r(b, r, d)] and 2*, 6.8+20y, 2r+6.5r(b, s, b)] were detected. Genetic variations index at Glu-1 locus of triticales from Xinjiang and Poland were in the order of Glu-R1 > Glu-A1 > Glu-B1 and Glu-R1 > Glu-B1 > Glu-A1, respectively. This indicated that genetic variation at Glu-R1 locus was richer than those at Glu-A1 and Glu-B1 in all detected materials. Analysis of genetic polymorphism revealed that genetic variation in the Poland accessions was richer than that in the Xinjiang accessions. Moreover, 7+18(r) and 6.8+20y(s) at Glu-B1 were new and special subunits formed during artificial evolution of triticale. It provided rich gene resources for improving wheat processing qualities.
Monitoring grain starch accumulation in winter wheat via spectral remote sensing

WANG Chao,FENG Mei-Chen,WANG Jun-Jie,XIAO Lu-Jie,YANG Wu-De,
王 超

中国生态农业学报 , 2013,
Abstract: Starch is a major photosynthate and quality index for winter wheat. Planting density influences the growth and development of winter wheat through factors, such as, thermal, light, temperature, etc. This in turn influences the generation, development and transportation of photosynthate to wheat grains which eventually determine wheat yield and quality. Chlorophyll density is strongly related with spectral parameters and accumulated starch. Thus, chlorophyll density was used to serve as a link between canopy spectra and starch accumulation in this study. The aim of the study was to explore suitable density for forecasting accumulated starch content for the purpose of building a model for the accurate forecasting of starch accumulation via spectral remote sensing. In this study, "Jing 9549" winter wheat cultivar was cultivated in 2009 and the "Jing 9549", "Le 639" and "Chang 4738" cultivars cultivated in 2010 at planting densities of 3.0×106 plant·hm-2, 4.5×106 plant·hm-2, 6.0×106 plant·hm-2, 7.5×106 plant·hm-2, 9.0×106 plant·hm-2. In the field experiments, canopy spectral, chlorophyll density and starch accumulation of winter wheat were measured in the five different planting densities. The accuracy of the monitoring model with NDVI (1 200 nm, 670 nm) was highest (0.920 6) at 7.50×106 plant·hm-2 wheat planting density. The model was verified with data for the cultivation period of 2009 to 2010. The result showed a strong agreement with a correlation coefficient of 0.954 2. The 7.5×106 plant·hm-2 density was the most reasonable planting density for monitoring starch accumulation in winter wheat. Also the data for the five densities were integrated to construct a multi-density simulation model. The multi-density model accuracy was 0.883 1 and its relative error (RE) was also the lowest (0.905 4). Thus to some extent, the multi-density simulation model was widely applicable and practically significant. The spectral remote sensing monitoring model for observed optimum density and accumulated starch at different wheat planting densities gave the theoretical basis and guidance for large-scale monitoring of wheat quality from space.
Software Design of Embedded Smart Home Gateway

SHI Wen-Zao,WANG Ping,HUANG Xi,YE Wu-De,

计算机系统应用 , 2010,
Abstract: 为了统一管理智能家居的各种设备,实现用户的便捷操作和控制,设计了嵌入式智能家庭网关。从软件角度,选择Windows CE作为操作系统,Microsoft Visual Studio作为开发工具,以C#作为开发语言。讨论了控制界面主窗体及子窗体的实现流程,通过Winsock套接字实现家庭网关接入Internet的功能。经过测试表明,整个系统功能完整,人机交互界面友好,能通过Internet对智能家居系统进行远程控制。


物理学报 , 2001,
Abstract: A three-dementional(3D) kinetic model method for KrF laser is presented. The major difference between the method and the previous kinetic method for KrF laser is that the space nonuniform for the electronic pump is considered. The pump rate is considered as a function of 3D-space (X,Y,Z) and time (t). Using the 3D model method, 96101702 experiment is simulated . The calculated laser energy output and lens energy distribution is in agreement with the experimental results. The problem that the calculated result of 1D model is obviously-higher than the experimental result is solved.
Industrial-Scale Preparation of Akebia Saponin D by a Two-Step Macroporous Resin Column Separation
Yue Wu,De Ji,Yunfei Liu,Chunfeng Zhang,Zhonglin Yang
Molecules , 2012, DOI: 10.3390/molecules17077798
Abstract: A simple and efficient procedure for the industrial preparation of akebia saponin D, one of the bioactive compounds commonly found in the well-known Chinese Medicinal herb Dipsaci Radix, was developed. First, HPD-722 was selected from among 10 kinds of macroporous absorption resins. Following this step, the purity of akebia saponin D was increased about 10 times from 6.27% to 59.41%. In order to achieve a higher purity, ADS-7 was chosen from among five kinds of macroporous absorption resins, and the purity of akebia saponin D was increased from 59.41% to 95.05%. The result indicated HPD-722 and ADS-7 were the most suitable resins to purify akebia saponin D from Dipsaci Radix. Under these conditions, large-scale preparation of akebia saponin D was carried out successfully. The preparation method is simple, efficient, and has been demonstrated to be effective for large scale preparations of akebia saponin D from Dipsaci Radix.
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