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Relationship Between Amino Acid Quality of Winter Wheat and Meteorological Ecological Factors
XIN Zhihong, GUO Jianping, TAN Kaiyan, LIU Kaiwen, YANG Rongguang, ZHANG Lihua, SUN Yi
Journal of Arid Meteorology    2020, 38 (1): 148-156.  
Abstract245)      PDF(pc) (653KB)(1468)       Save
Five winter wheat cultivars from the north and south wheat areas were selected as experimental materials. Through the different sowing date test, the amino acid quality of winter wheat grain was evaluated by variance analysis, principal component analysis and cluster analysis. Based on typical correlation and stepwise regression analysis, the correlation between winter wheat amino acid quality and climatic-biological factors was studied, and significant relevant climatic ecological factors were selected to construct winter wheat amino acid content prediction model. The results show that the average content of glutamate (non-essential amino) was the highest in amino acid contents of winter wheat, and the average content of methionine (essential amino acid) was the lowest. The environmental adaptability of essential amino acids and non-essential amino acids was relatively strong, while semi-essential amino acids had a greater potential for quality breeding. The content of amino acid in winter wheat showed the regional distribution characteristics that for northern varieties it was higher than that of southern varieties. The regional differences of threonine, phenylalanine, arginine, aspartic acid, glutamic acid and glycine were significant. The amino acid quality could be explained by three principal components with a cumulative contribution rate of 97.796%. In the comprehensive quality evaluation, the Gucheng Tanmai 98, and Taian Shannong 18 performed better, while the Jingzhou Zhengmai 9023, Suzhou Wanmai 52, Xuzhou Xumai 33 performed poorly. The cluster analysis showed that the cluster arrangement was closely related to the content of amino acid components and geographical distribution of winter wheat. The types I, II, III and IV were the Tanmai 98 in the north wheat area, the Shannong 18 in the northern part of Huanghuai wheat area, the Wanmai 52 in the southern part of Huanghuai, the Xumai 33 in the southern wheat area of Huanghuai and the Zhengmai 9023 in the Jianghuai wheat area, respectively which was consistent with the comprehensive evaluation ranking in the principal component analysis. The correlation between amino acid content of winter wheat and climatic-biological factors was obvious. The essential amino acid content was most correlated with temperature and humidity conditions. Most of the amino acid components could be improved in quality by adjusting the microclimate environment or soil moisture.
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Variation Characteristics of Road Surface Temperature on Highway of Hebei Province and Its Prediction Model
WU Huiqin,MA Cuiping,YANG Rongfang,ZHANG Jinman
Journal of Arid Meteorology    DOI: 10.11755/j.issn.1006-7639(2014)-04-0665
Foreca sting Capab ility Test of ColdWave Process by Numer ica lWea ther Pred iction Products
ZHANG Bing-Xiang, WANG Li-Rong, YANG Rong-Zhen, YAN Rui-Chu, SU Yun-Chao
J4    2010, 28 (1): 96-101.  
Abstract1826)      PDF(pc) (1548KB)(2481)       Save

Three wide range cold waves occurred in winter of 2008 in Hebei Province, which were the most in the past 10 years, especially the cold wave appeared from 3 to 5 December 2008 was serious at the same period in the history. In this paper, the observed and forecasted by numerical p rediction p roducts including T213 and EC were compared from the atmospheric circulation features, intensity and moving path of the cold air and weather elements, etc. in order to test the capability of forecasting cold wave based on different numericalweather p rediction p roducts, and offermore forecasting reference in future. The results suggest that both T213 and EC can forecast the typ ical characteristics of cold wave outbreak, but T213 has a higher temporal and spatial resolution, and would bemore help in imp roving refined cold wave weather forecast..

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