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Application of crop simulation modeling and GIS to agroclimatic assessment in Burkina Faso.

机译:作物模拟模型和GIS在布基纳法索的农业气候评估中的应用。

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摘要

The procedure used to investigate the water-limited growth environment of an improved millet (Pennisetum americanum [P. glaucum]) cultivar in Burkina Faso is outlined. A daily time-step cropping system simulation model (CropSyst) was used to simulate the soil water budget components and millet production potential, both spatially and temporally, by coupling the model with databases of soil type, long-term weather, and crop management using a geographic information system (GIS). From the cropping model outputs, two agroclimatic indices (Aridity Index and Crop Water Stress Index) that show the water-limited growth environment of the millet crop throughout the country were quantified and mapped with the help of the GIS. This allowed the identification of agroclimatic zones, as determined by the crop water needs. Millet productivity decreased from the south to the north of the country in relation with rainfall isolines and soil types. Locations with less than 500 mm of annual rainfall are marginal for millet, particularly on Planosols and Arenosols. In regions with rainfall above 700 mm, moisture availability is not a major limiting factor for the 90-day millet production, especially on Regosols, Cambisols, Acrisols and Nitosols. Overall, the approach followed in this study appeared promising for quantifying the growth environment of millet as affected by soil type and weather. It could also help to provide guidelines for crop water management and analysis of the suitability of improved crop cultivars.
机译:概述了用于调查布基纳法索改良小米(Pennisetum americanum [P. glaucum])品种水分受限的生长环境的程序。通过将模型与土壤类型,长期天气和作物管理数据库结合起来,使用每日时步种植系统模拟模型(CropSyst)在空间和时间上模拟土壤水收支成分和小米生产潜力。地理信息系统(GIS)。从作物模型输出中,利用GIS量化并显示了两个农业气候指数(干旱指数和作物水分胁迫指数),这些指数显示了全国小米作物的水分受限生长环境。这样可以根据农作物需水量确定农业气候区。与降雨等值线和土壤类型相比,该国南部至北部的粟米生产率下降。年降水量少于500毫米的地区对小米来说是微不足道的,特别是在平溶胶和槟榔上。在降雨量超过700毫米的地区,水分供应不是限制90天小米产量的主要限制因素,尤其是雷戈索尔,坎比索尔,阿克里斯索尔和尼托索尔。总体而言,本研究采用的方法在定量分析受土壤类型和天气影响的小米的生长环境方面似乎很有希望。它还可以帮助提供作物水分管理指南,并分析改良作物品种的适用性。

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