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水稻计算机模拟模型及其应用之六 长江流域水稻穗粒结构的气候生态特征及库源关系协调性分析
引用本文:金之庆,高亮之,黄耀.水稻计算机模拟模型及其应用之六 长江流域水稻穗粒结构的气候生态特征及库源关系协调性分析[J].中国农业气象,1990,11(2):27.
作者姓名:金之庆  高亮之  黄耀
作者单位:江苏省农业科学院,江苏省农业科学院,江苏省农业科学院,
摘    要:本文应用以下模型或子模型:(1)有效穗数子模型,(2)每穗粒数子模型,(3)结实率子模型,(4)生育期“水稻钟”模型,(5)群体光合生产(或“源”产量)模型,(6)“库”产量模型,对不同品种或品种类型水稻的穗粒结构在长江流域的气候生态特征和“库”、“源”产量的协调性特征进行了数最分析。分析结果对于评价不同品种或类型的水稻在长江流域的气候适应性,找出限制产量的气候因素,指出增产途径和制定生产对策具有重要价值。最后还利用长江流域水稻气候生态鉴定试验(1985~1986)的有关资料对上述分析结果进行了验证和评价。

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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.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[J].Chinese Journal of Agrometeorology,1990,11(2):27.
Authors:Jin Zhiqing  Gao Liangzhi and Huang Yao
Institution:Jiangsu Academy of Agricultural Sciences
Abstract: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,
Keywords:Rice Yield  Yield Component  Ratio of Sink Yield to Source Yield
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