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Water Requirements for Corn Yields in the Northern Regions of Cameroon Using AquaCrop Model

机译:基于AquaCrop模型的喀麦隆北部地区玉米产量的需水量。

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Aims: This study is based on the use of the FAO AquaCrop model to determine the amount of water needed to improve corn yields in Northern Cameroon. Study Design: The regions of Garoua (9?18'N - 13?24' E), Kaélé (10?05'44"N - 14?26'37"E) and Maroua (10?35'N - 14?19’E) were considered for this purpose. This region corresponds to a semi-arid zone in the Northern Cameroon in Central Africa. Place and Duration of Study: The climate data used in this work were collected in the meteorological stations of Garoua, Maroua and Kaélé from 1979 to 2004 during the AMMA (African Monsoon Multidisciplinary Analysis) project. The phenology data of maize crops were obtained from the Institute of Agricultural Research for Development (IARD) which is the national institute. Methodology: The software used here is AquaCrop, developed by a group of experts at the Food and Agriculture Organization (FAO) for prediction of agricultural production under conditions of water limitation. Two simulations were carried out to determine the impact of climate change on agricultural yields and to determine the amount of water needed to mitigate this impact. The first consists of estimating yields in the dry and rainy seasons. The second consists of the estimation of the yields that are in the dry season or in the rainy season by using the irrigation. Hence, we have estimated the quantities of water needed for irrigation for each season over the region. Results: The yields of the maize crop are most important during the rainy season and are close to 2.32 ton/ha. If irrigation is done during this season a rate of 72.15 mm, these yields are improved to 2.56 ton/ha. In the dry season, yields are close to 0.15 ton/ha. When irrigation is done with an average rate of 427.03 mm, yields are considerably improved and are relatively close to those obtained in the rainy season (2.37 ton/ha). Conclusion: This study allows farmers to cultivate in all seasons to preserve and improve food security in the future years.
机译:目的:本研究基于粮农组织AquaCrop模型的使用,以确定提高喀麦隆北部玉米单产所需的水量。研究设计:Garoua(N?9?18'N-13?24'E),Kaélé(10?05'44“ N-14?26'37” E)和Maroua(10?35'N-14? 19'E)被考虑用于此目的。该区域对应中非北部喀麦隆的半干旱地区。研究的地点和持续时间:这项工作中使用的气候数据是从1979年至2004年在AMMA(非洲季风多学科分析)项目期间在加鲁阿,马鲁阿和凯莱的气象站收集的。玉米作物的物候数据是从国家研究所农业发展研究所(IARD)获得的。方法:此处使用的软件是AquaCrop,由粮食及农业组织(FAO)的一组专家开发,用于在缺水条件下预测农业产量。进行了两次模拟,以确定气候变化对农业产量的影响,并确定减轻这种影响所需的水量。首先是估算干旱和雨季的单产。第二个组成部分是通过灌溉估算干旱季节或雨季的单产。因此,我们估算了该地区每个季节灌溉所需的水量。结果:玉米作物的产量在雨季最为重要,接近2.32吨/公顷。如果在这个季节以72.15毫米的速率进行灌溉,这些单产将提高到2.56吨/公顷。在干旱季节,单产接近0.15吨/公顷。当平均灌溉量为427.03 mm时,单产将大大提高,并且相对接近雨季的产量(2.37吨/公顷)。结论:这项研究使农民能够在所有季节进行耕种,以保护和改善未来几年的粮食安全。

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