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10 June 1990, Volume 11 Issue 02

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The field-vernalization of northern winterness wheat and its possibility for planting in Guizhou

Zhang Chengqi Li Jiaxiu Yang Zhengyuan Zhao Zhi (Department of Agronomy Guizhon Agricultural college GuiYang) Cao Cuangcai Wu Dongbing (Institute of Crop Breeding and cultivation, Chinese Academy of Agricultural Sciences Beijing)

1990, 11(02):  13-20. 

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According to the result of ecological research on the winterness wheat sowing at autumn from 1982 to 1985 in Guiyang and Beijing, The northern winterness wheat varieties could pass through vernalization and maturity normally at autumn sowing in different date. This experiment also indicated that the northern winterness wheat could pass through vernalization within a more wide lower-temperature when the condition join short-day photoperiod in winter season. Short-day accelerated vernalization process for winterness wheat. The duration of northern winterness wheat in Guiyang is more shorter than in Beijing and some characters of northern winterness wheat in Guiyang is also superior to Beijng. Such as these characters povide sientific basis for make rational use northern winterness wheat resource in Guizhou.

Rice Computer Simulation Model (RICEMOD) And Its Applications-Part 5 A SIMULATION MODEL TO EVALUATE SINK YIELD AND ITS COMPONANTS OF RICE PLANT

Jin Zhiqing, Gao Liangzhi and Li Lin (Jiangsu Academy of Agricultural Sciences)

1990, 11(02):  20-26. 

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In terms of the data from the Rice Climatic-Ecological Experiment conducted in the Yangtze Valley (1985—1986) , and the meteorological data during the same period, 3 mathematical models for the number of panicles per unit land area, the number of grains per panicle and, tne numoer of filled-grains percentage were built, respectively. The total hours of sunshine duration and the mean temperature during the tillering stage are the most importana meteorological factors for the effective panicle formation. The length in days from emergence to heading and the effective panicle number are important determinants of grain number per panicle. As to the number of filled-grians percentage, the total sunshine duration in hours and the mean maximum and minimum temperature during the period covering 15 days before and 25 days after heading are the determinants. A sink yield model was also developed, based On the following assumpation, i. e. , the 1000-grain weight was considered as one of the stable varirtal characteristics and the empty grains percentage was the limiting factor to the sink yield. This means the formation of partial filled grains percentage relates to the shortage of source yield. A good agreement has been found between the simulated results and the experimental data.

Rice Computer Simulation Model (RICEMOD) and Its Applications-Part 6 THE CLIMATIC-ECOLOGICAL CHARACTERISTICS OF YIELD COMPONENTS AND SINK-SOURCE RELATION ANALYSIS FOR RICE CROP IN THE YANGTZE VALLEY, CHINA

Jin Zhiqing, Gao Liangzhi and Huang Yao (Jiangsu Academy of Agricultural Sciences)

1990, 11(02):  27-34. 

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In this paper, the characteristics of geographical distributions for rice yield components in the Yangtze Valley were described, and also the sinksource relations of different rice varietal types in the concerned region were analysed, based on the following established models or submodels, named, 1) effective panicle number per unit field area, 2) grain number pet" panicle, 3) filled-grain percentage, 4) "rice clock" model for development, 5) "source" yield model, 6) "sink" yield model. The results are of great importance to assessing the climatic suitability of different rice varietal types in the studied region, to finding the climatic constrains on rice yield, to pointing out the way to increase yield and to making decisions in rice managements. The authors finally tested and evaluated the results, using the data taken from the Rice Climatic-Ecological Experiment conducted in the Yangtze Valley between 1985—1986,

APPLICATION AND IMPROVEMENT OF SUPERVISING INFORMATION SYSTEM OF RICE IN CHINA

Yao Keming Tai Huajie

1990, 11(02):  35-40. 

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This paper disscusses the regional service effect of the current supervising information system of rice in China according to about one thousand AGROMETEOROLOGICAL FORMS OF RICE NO: 1. It is proved that the information provided by the current system can be used in information forecasting service within provinces in south China, only if the growing period cofficients, the tillering and earing ability cofficients, and the yielding cofficients of varifies are introduced by taking the difference among the growing period of varities, their tillering and producting ability into accont, and the regions and the types of planting are classed according to climatic featuer. The effect is good. It is also proved that the precision of the current method for yielding analysis is low, and this affects its service quality. Observing precision and the service quality of the system can be improved if sampling number can be determind by density variance and proper sampling method is used.

TRY TO DISCUSS THE RELATIONSHIPS BETWEEN THE SEED QUALITIES OF WHEAT AND METEOROLOGICAL CONDITIONS

Wang Yongqin Liu Ronghua Yang Haiying Cai Hong (Meteorological institute of Henan province)

1990, 11(02):  40550-405. 

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In this research project, We have analysed the relationships between the protein contents in the wheat seeds and meteorological conditions, such as the main meteorological factors exerting an important influence on the seed qualities of wheat, different seeding date exert an influence upon the nutrient qualities of wheat seeds, the quatitative relations between various. meteorological factors and seed qualities, and the characteristies of space distributions for seed protein contents of wheat and meteorological conditions and so, from the point of view of ecoclimatology.

THE DEDUCTION MODEL OF INDEXES OF MAXIMUM YIELD IN YIELD PREDICTION

Tang Zhicheng (Meteorological Institute of Jiansu Province)

1990, 11(02):  40767-407. 

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In this paper, first of all, the initial value yG~0 of maximum yield is determined on the assumption that the yG~0 equals to the spline interpolation function which is obtained by considering the yield of better harvest years as interpolation nodes and the initial values c_i of influencing indexes of harmful climatic conditions are given by means of solving a series of linear equations. Then, the maximum yield YG under optimum climatic conditions and influencing indexes c_i of unfavorabal climatic conditions x_i are evaluated by repeatly using iteration approximation. In the final, one new kind of model of yield prediction is given, as follow■=y_G(1-sum from i=1 to ∞ c_iX_i)