...
首页> 外文期刊>SN Applied Sciences >Identifying maize yield and precipitation gaps in Uganda
【24h】

Identifying maize yield and precipitation gaps in Uganda

机译:鉴定乌干达的玉米产量和降水差距

获取原文
获取原文并翻译 | 示例

摘要

In sub-Saharan Africa (SSA), precipitation is an important driver of agricultural production. In Uganda, maize production is essentially rain-fed. However, due to changes in climate, projected maize yield targets have not often been met as actual observed maize yields are often below simulated/projected yields. This outcome has often been attributed to parallel gaps in precipitation. This study aims at identifying maize yield and precipitation gaps in Uganda for the period 1998-2017. Time series historical actual observed maize yield data (hg/ha/year) for the period 1998-2017 were collected from FAOSTAT. Actual observed maize growing season precipitation data were also collected from the climate portal of World Bank Group for the period 1998-2017. The simulated or projected maize yield data and the simulated or projected growing season precipitation data were simulated using a simple linear regression approach. The actual maize yield and actual growing season precipitation data were now compared with the simulated maize yield data and simulated growing season precipitation to establish the yield gaps. The results show that three key periods of maize yield gaps were observed (period one: 1998, period two: 2004-2007 and period three: 2015-2017) with parallel precipitation gaps. However, in the entire series (1998-2017), the years 2008-2009 had no yield gaps yet, precipitation gaps were observed. This implies that precipitation is not the only driver of maize yields in Uganda. In fact, this is supported by a low correlation between precipitation gaps and maize yield gaps of about 6.3%. For a better understanding of cropping systems in SSA, other potential drivers of maize yield gaps in Uganda such as soils, farm inputs, crop pests and diseases, high yielding varieties, literacy, and poverty levels should be considered. Article HighlightsWhen actual maize yields are less than simulated maize yields, maize yield gaps are said to existPrecipitation gaps occur when actual precipitation is below simulated precipitationMaize yields are driven by precipitation and other variables like soils and socio-economic circumstances
机译:在撒哈拉以南非洲(SSA)中,降水是农业生产的重要推动力。在乌干达,玉米生产基本上是雨水。然而,由于气候变化,由于实际观察到的玉米产量通常低于模拟/投射收益率,预计玉米产量目标并未达到。这一结果通常归因于降水量平行差距。本研究旨在识别1998 - 2017年乌干达玉米产量和降水差距。时间序列历史实际观察到1998 - 2017年期间的玉米产量数据(HG / HA /年)从Faostat收集。在1998 - 2017年期间,还从世界银行集团的气候诗歌中收集了实际观察到的玉米生长季节降水数据。使用简单的线性回归方法模拟模拟或投影玉米产量数据和模拟或投影生长季节降水数据。现在将实际玉米产量和实际生长季节降水数据与模拟玉米产量数据进行比较,并模拟生长季节降水以确定产量间隙。结果表明,观察到玉米产量差距的三个关键时期(期间:1998,二:2004-2007和三:2015-2017期间),具有平行降水间隙。但是,在整个系列(1998-2017)中,2008-2009年尚未产生差距,观察到降水差距。这意味着降水不是乌干达玉米产量的唯一驱动因素。事实上,这是通过降水间隙与玉米屈服间隙之间的低相关性的支撑,约为6.3%。为了更好地了解SSA中的种植系统,应考虑乌干达等玉米产量差距的其他潜在驱动因素,如土壤,农场投入,农作物害虫和疾病,高产品种,识字和贫困水平。文章突出智慧实际玉米产量低于模拟玉米产量,玉米产量差距据说存在于实际沉淀下方的沉淀率下降,产量由降水和其他变量等土壤和社会经济的其他变量驱动

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号