北海道水田排水良好的直播水稻除杂草时机的出苗预测方法

T. Hamasaki, M. Nemoto
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摘要

我们的目的是确定北海道地区排水良好的水田上直接播种水稻时的杂草控制时机。为此,我们建立了基于有效积温模型的计算模型,从播种日期开始估算出苗期。该模型在播种至出苗期的前期和后期设置不同的基准温度,计算出日有效温度。由于除杂草的非选择性除草剂必须在水稻出苗前施用,因此需要新的方法来确保在幼苗出苗日期之前施用除草剂。这些方法必须准确,因为幼苗出苗后估计的出苗日期将对作物不利。研究结果表明,利用日平均土壤温度估算出苗日期更为合适,利用日平均气温估算出的日平均土壤温度是可行的。估算出苗日期的均方根误差为2.0天,只有1例估算出苗日期发生在实际出苗日期之后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rice seedling emergence prediction method for timing of weed control in direct-sowing rice on well-drained paddy fields in Hokkaido
We aimed to determine the timing of weed control in direct sowing of rice on well-drained paddy fields in Hokkaido region. To this end, we developed calculation models to estimate the date of beginning of seedling emergence from the sowing date, based on an effective accumulated temperature model. The model had different base temperatures set for the earlier and later periods, from sowing to emergence, to calculate daily effective temperature. As non-selective herbicides to remove weeds must be applied before the emergence of rice, new methods to ensure their appropriate application prior to the seedling emergence date are required. These methods must be accurate, as an estimated seedling emergence date that occurs after seedling emergence will be detrimental to the crop. Our results indicate that the use of daily mean soil temperature is more appropriate to estimate the emergence date, and that it is possible to use the daily mean soil temperature which is estimated from daily mean air temperature. The root mean square error of the estimated seedling emergence date is 2.0 days, with only one case of the estimated date occurring after the actual date.
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