马拉尼昂马塔罗马市的年际降雨量变化和大豆产量

E. S. Santos, Plinio Antonio Guerra Filho, Sheyla Sales de Oliveira, Breno dos Santos Silva, Antonio Emanuel Souta Veras, Daniela Abreu de Souza
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引用次数: 0

摘要

在受降雨量变化影响的活动中,农业是最脆弱的活动之一。从这个意义上说,这项工作旨在将马拉尼昂马塔罗马市的年际降雨量变化与大豆产量变化联系起来,同时考虑干旱和降雨事件。为此,分析了2003年至2019年该州主要大豆产区之一的大豆平均产量和降雨量数据。还分析了1985-2019年期间的月降雨量数据,并在这两个气象数据系列中确定了干旱和降雨事件。结果表明,1月至5月的降雨量平均解释了约99%的产量年际变化,干旱和非常潮湿时期的出现对大豆作物不利,在大多数情况下,导致产量和产量远低于研究地区的平均水平。通过回归分析,发现最大平均产量为2942.52kg×ha?平均降雨量为1709毫米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interannual rainfall variability and soybean yields in Mata Roma municipality, Maranhão
Among the activities affected by rainfall variability, agriculture is one of the most vulnerable. In this sense, this work aimed to relate the interannual rainfall variability with the soybean yields variability in Mata Roma municipality, Maranhão, considering dry and rainy events. For this, for the period from 2003 to 2019, data on average soybean yield and rainfall in this producing region, which is one of the main ones in the State, were analyzed. Monthly rainfall data for the period 1985-2019 were also analyzed and the dry and rainy events were identified in these two meteorological data series. The results showed that rainfall from January to May explains about 99%, on average, of the interannual variation of yields and that occurrence of dry and very humid periods disfavor the soybean crop, causing, in most cases, yields and productions far below the average for the study region. Based on the regression analysis, it was found that maximum average yield of 2942.52 kg×ha?1 was reached with an average rainfall of 1709 mm.
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