Exploring adaptation strategies for smallholder farmers in dryland farming systems and impact on pearl millet production under climate change in West Africa

IF 3.5 Q1 AGRONOMY
F. Akinseye, Inoussa Zagre, Aliou Faye, J. Joseph, O. N. Worou, A. Whitbread
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引用次数: 0

Abstract

Understanding and identifying appropriate adaptation optons for cropping systems and management practices at spatial and temporal scales is an important prerequisite for scaling. Pearl millet (Pennisetum glaucum (L) R. Br.) could be regarded as a risk-reducing measure crop under climate change when coupled with tactical agronomic management practices. In this study, we assess the impacts of adaptation strategies such as cultivar type, planting windows, and fertilizer strategies on pearl millet production under rainfed farming systems over Nigeria and Senegal using the Agricultural Production Systems Simulator (APSIM) model. The impact of climate change on millet yield was evaluated using a validated APSIM-millet module that utilized yield data collected through participatory research and extension approach (PREA) in contrasting environments. The climate model projections for the mid-century period (2040–2069) were compared against a baseline period of 1980–2009 for both locations. During the simulation, two millet varieties (improved local and dual-purpose) with two sowing regimes were considered comparing traditional farmers’ sowing window (dry sowing) and agronomic sowing window (planting based on the onset of the rainfall) at three different fertilizer levels [low (23 kg N ha−1), medium (40.5 kg N ha−1), and high (68.5 kg N ha−1) respectively]. The performance of the APSIM-millet module was found to be satisfactory as indicated by the low Root Means Square Error (RMSE) and Normalized Root Mean Square Error (NRMSE) values. The range for grain yield was between 17.7% and 25.8%, while for AGB it was between 18.6% and 21.4%. The results showed that farmers’ sowing window simulated slightly higher grain yield than the agronomic sowing window for improved local millet cultivar indicating yield increased by 8–12%. However, the projected changes in the mid-century (2040–2069) resulted in a decline in yield against baseline climate for both varieties and sowing windows, indicating the negative impact of climate change (CC) on yield productivity. The comparison between dual-purpose millet and improved local millet indicates that disseminating the improved millet variety and implementing early sowing could be an effective adaptation strategy in reducing risks and losses caused by climate change. Similarly, low magnitude impacts simulated on grain yield (< −8% in Nigeria compared to > −8% in Senegal) even though both locations are in the same agroecological zone.
探索西非旱地农业系统中小农的适应战略及其对气候变化下珍珠粟生产的影响
在空间和时间尺度上了解和确定种植系统和管理方法的适当适应选择是扩大规模的重要前提。珍珠粟(Pennisetum glaucum (L) R.Br.)如果与战术性农艺管理措施相结合,可被视为气候变化下降低风险的措施作物。在本研究中,我们利用农业生产系统模拟器(APSIM)模型,评估了尼日利亚和塞内加尔雨水灌溉农业系统下栽培品种类型、种植窗口和施肥策略等适应策略对珍珠粟产量的影响。使用经过验证的 APSIM-小米模块评估了气候变化对小米产量的影响,该模块利用了在不同环境下通过参与式研究和推广方法(PREA)收集的产量数据。将两地本世纪中期(2040-2069 年)的气候模型预测与 1980-2009 年的基线期进行了比较。在模拟过程中,考虑了两个小米品种(改良本地品种和两用品种)和两种播种制度,比较了传统的农民播种期(旱播)和农艺播种期(根据降雨开始时间播种),以及三种不同的肥料水平[分别为低(23 千克氮/公顷)、中(40.5 千克氮/公顷)和高(68.5 千克氮/公顷)]。从较低的均方根误差(RMSE)和归一化均方根误差(NRMSE)值来看,APSIM-小米模块的性能令人满意。谷物产量的范围在 17.7% 到 25.8% 之间,而 AGB 的范围在 18.6% 到 21.4% 之间。结果表明,对于改良的当地小米栽培品种,农民播种窗口模拟的谷物产量略高于农艺播种窗口,表明产量增加了 8-12%。然而,本世纪中期(2040-2069 年)的预测变化导致两个品种和播种窗口的谷物产量与基线气候相比均有所下降,这表明气候变化(CC)对谷物产量产生了负面影响。两用小米与当地改良小米之间的比较表明,推广改良小米品种并实施提早播种可能是降低气候变化造成的风险和损失的有效适应战略。同样,尽管两地位于同一农业生态区,但模拟的谷物产量影响程度较低(尼日利亚小于-8%,而塞内加尔大于-8%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in Agronomy
Frontiers in Agronomy Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
4.80
自引率
0.00%
发文量
123
审稿时长
13 weeks
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