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A climatological analysis on the recent declining trend of rice quality in Japan

机译:日本稻米质量近期下降趋势的气候学分析

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A remarkable declining trend in rice quality has already been observed in western Japan and the future global warming associated with climate change is likely to exacerbate such risk. In this study, a simple statistical model was constructed to estimate the rice quality, which is defined as the proportion of white immature grains on a prefectural scale, in terms of two major climate variables during the grain-filling stage: the cumulative weighted effective temperature 5 and the cumulative solar radiation SR. In order to account for the uncertainties included in the processes involved, Bayesian inference was used to estimate the model parameters. The modeled time changes in rice quality correlated well to those observed. Specifically, the reproducibility of rice quality since 2000 was particularly high. These results suggested that a combination of the two climate factors was responsible for the recent variability in rice quality on a prefectural scale. Subsequently, the elasticity of rice qualityrelative to 8 and SR was examined based on the model. The elasticity represents the relative change in rice quality in response to a change in S or SR, with a positive (negative) sign indicating increased (decreased) quality. Consequently, the mean elasticity of the rice quality relative to SR was larger than that to S in Kyushu. Moreover, the time changes of rice quality in Kyushu synchronized with that of SR under high temperature conditions, suggesting that rice plants become more sensitive to conditions of insufficient radiation if exposed to high temperatures. Consequently, it was concluded that the contribution of the radiation condition to the variation in rice quality become relatively larger along with the recent increase in temperature.
机译:在日本西部已经观察到稻米质量显着下降的趋势,未来与气候变化相关的全球变暖可能加剧这种风险。在这项研究中,构建了一个简单的统计模型来估算稻米质量,该质量被定义为县级尺度上的白色未成熟谷粒的比例,这是在灌浆阶段的两个主要气候变量方面:累积加权有效温度5和累积太阳辐射SR。为了解决所涉及过程中的不确定性,使用贝叶斯推断来估计模型参数。模拟的稻米质量时间变化与观察到的相关性很好。具体而言,自2000年以来稻米品质的可复制性特别高。这些结果表明,两种气候因素的结合是造成县级大米质量近期变化的原因。随后,基于该模型检查了相对于8和SR的稻米品质的弹性。弹性代表稻米质量随着S或SR的变化而发生的相对变化,正号(负号)表示质量提高(下降)。因此,九州地区稻米相对于SR的平均弹性大于S。此外,在高温条件下,九州的稻米质量与SR的时间变化是同步的,这表明如果暴露于高温下,水稻植物对辐射不足的条件变得更加敏感。因此,可以得出结论,随着温度的升高,辐射条件对稻米质量变化的贡献变得相对较大。

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