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Table of Content

    10 February 1997, Volume 18 Issue 01
    论文
    Efficient Use of Light and Temperature in Ecosystem of Crops and Fruit Trees Ⅱ. Images of Crown Shading of Fruit Trees in Row
    Zhou Yunhua (Institute of Geography, Chinese Academy of Sciences, Beijing, 100101) Zhou ZhiquanZhang Xiaojie(Institute of Computing Technology, Chinese Academy of Sciences)(Hebei University)
    1997, 18(01):  . 
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    The methods of calculating length, l 0, of shadow caused by row fruit trees, shadow coverage rate, ρ, of the crop field, and ratio, ε, of daily totals of photosynthetically active radiation at different distances away from the row fruit trees to the one in open area are presented. Based on the measurements of transmittance of sun light through the tree crown, images of l 0, ρ, and ε for different row directions in a year are also provided.
    On the Zonation of Fruit Crop Belts in China
    Zhu Jiaman (Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng, 125100)
    1997, 18(01):  . 
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    Based on the agroclimatic zoning for major fruit species and their current production status in China, this paper put forward a system for the division of fruit planting belts and areas in the country which divided the countrys fruit cultivation into 6 belts and 13 areas. The results provided an important basis for the rational distribution of fruit production throughout the country.
    Climatic Suitability for Autumn grown Vegetable Pea
    (Pisum sativum var. hortense Poir) in Central Zhejiang Province Wu Jingyun (Yiwu Municipal Meteorological Bureau, Yiwu 322000, Zhejiang) Du ZhiguiHua Yunfeng(Yiwu Municipal Agricultural Bureau)(Yiwu Municipal Meteorological Bereau)
    1997, 18(01):  . 
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    Field experiments were conducted in 1993 and 1994 autumn to test the possibility of growing P. sativum var. hortense Poir as a high grade vegetable for off season consumption. the results showed that it is feasible to grow pea in autumn if appropriate cultural practices are used, leading to shorter production cycle, less labour input and higher economic return.
    Grey Markov Forecasting Model of Crop Yield
    Nan Duguo Wu Xiyong (Heilongjiang August 1st Land Reclamation University, Mishan 158308)
    1997, 18(01):  . 
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    Using the data of unit area yield of wheat from 1949 to 1992 of the general reclamation Bureau of Heilongjiang Province, trend yield was simulated and forecasted with Grey System GM(1,1) Tendency Forecasting Model, meteorological yield was forecasted with Markov Tendency Forecasting Model, and a complete Grey Markov Forecasting Model of Crop Yield was combined thereby. The unit area yield of wheat of The General Reclamation Bureau of Heilongjiang Province was forecasted by the model. the result was basically consistent with the actualities.