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。
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.
出处
《中国农业气象》
CSCD
北大核心
1990年第2期20-26,34,共8页
Chinese Journal of Agrometeorology
关键词
水稻
计算机模拟
产量
模型
Simulation Model
Sink Yield
Yield Component
