摘要:【目的】垩白是衡量水稻品质的重要指标之一。在全球气温不断升高的背景下,定量描述高温对水稻垩白的影响,有重要意义。【方法】本试验以热敏品种淮稻5号和耐热品种武运粳24号为材料,通过孕穗期或开花期、不同温度、不同持续时间的高温处理试验,探究高温与水稻垩白的定量关系。【结果】高温处理下,淮稻5号的垩白多于武运粳24号。孕穗期高温使淮稻5号垩白减少,开花期高温使淮稻5号垩白增加。武运粳24号在稍高的适宜温度下,垩白最少;过高或过低的孕穗期温度或开花期温度都会使其籽粒垩白增加。本文以试验数据为基础,测试了几个已有模型的效果,并建立了基于高温生长度日的垩白预测统计模型。研究结果将为稻米垩白的预测提供基础。 28353 毕业论文关键词:稻米;垩白;高温;定量;模型
Quantitative effect of temperature on rice quality
Abstract:Chalkiness is one of the most important traits of rice quality. Since global temperature increases, it is of great significance to quantify the effects of high temperature on rice chalkiness. In this study, two rice cultivars: heat-sensitive cultivar Huaidao 5 and heat-tolerant cultivar Wuyunjing 24, were subjected to high temperature treatments of different temperature levels and durations during either booting or flowering stages. The effect of high temperature on rice chalkiness has been quantified. The results showed that the chalky rice rate and chalkiness were higher in Huaidao 5 than Wuyunjing 24 under high temperature treatment. For Huaidao 5, high temperature at booting stage decreased chalkiness whereas high temperature at flowering stage increased chalkiness. For Wuyunjing 24, chalkiness increased at too high or too low temperature during either booting or flowering stages. Using datasets of this study, the performance of serval models has been tested and a new statistical model for rice chalkiness has been developed. The results will provide a basis for the prediction of rice chalkiness.
Key words: rice; chalkiness; temperature; quantify; model
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