Ayub Agricultural Research Institute, Faisalabad, Punjab, Pakistan.
Department of Agronomy, University of Agriculture, Faisalabad, 38040, Pakistan.
Environ Sci Pollut Res Int. 2019 Mar;26(7):6745-6757. doi: 10.1007/s11356-018-3925-7. Epub 2019 Jan 10.
Climate change adversely affects food security all over the world, especially in developing countries where the increasing population is confronting food insecurity and malnutrition. Crop models can assist stakeholders for assessment of climate change in current and future agricultural production systems. The aim of this study was to use of system analysis approach through CSM-CERES-Millet model to quantify climate change and its impact on pearl millet under arid and semi-arid climatic conditions of Punjab, Pakistan. Calibration and evaluation of CERES-Millet were performed with the field observations for pearl millet hybrid 86M86. Mid-century (2040-2069) climate change scenarios for representative concentration pathway (RCP) 4.5 and RCP 8.5 were generated based on an ensemble of selected five general circulation models (GCMs). The model was calibrated with optimum treatment (15-cm plant spacing and 200 kg N ha) using field observations on phenology, growth and grain yield. Thereafter, pearl millet cultivar was evaluated with remaining treatments of plant spacing and nitrogen during 2015 and 2016 in Faisalabad and Layyah. The CERES-Millet model was calibrated very well and predicted the grain yield with 1.14% error. Model valuation results showed that there was a close agreement between the observed and simulated values of grain yield with RMSE ranging from 172 to 193 kg ha. The results of future climate scenarios revealed that there would be an increase in T (2.8 °C and 2.9 °C, respectively, for the semi-arid and arid environment) and T (2.5 °C and 2.7 °C, respectively, for the semi-arid and arid environment) under RCP4.5. For RCP8.5, there would be an increase of 4 °C in T for the semi-arid and arid environment and an increase of 3.7 °C and 3.9 °C in T, respectively, for the semi-arid and arid environment. The impacts of climate changes showed that pearl millet yield would be reduced by 7 to 10% under RCPs 4.5 and 8.5 in Faisalabad and 10 to 13% in Layyah under RCP 4.5 and 8.5 for mid-century. So, CSM-CERES-Millet is a useful tool in assessing the climate change impacts.
气候变化对世界粮食安全产生不利影响,尤其是在发展中国家,那里不断增长的人口正面临粮食不安全和营养不良问题。作物模型可以帮助利益相关者评估当前和未来农业生产系统中的气候变化。本研究的目的是利用系统分析方法,通过 CSM-CERES-小米模型来量化气候变化及其对巴基斯坦旁遮普省干旱和半干旱气候条件下珍珠小米的影响。使用杂交 86M86 珍珠小米的田间观测对 CERES-小米进行了校准和评估。根据选定的五个通用环流模型(GCM)的集合,生成了代表浓度途径(RCP)4.5 和 RCP 8.5 的中期(2040-2069 年)气候变化情景。使用田间观测的物候学、生长和籽粒产量,对最佳处理(植物间距 15 厘米和每公顷 200 千克氮)对模型进行了校准。此后,在费萨拉巴德和拉耶利用其余的种植间距和氮处理对小米品种进行了 2015 年和 2016 年的评估。CERES-小米模型的校准非常好,籽粒产量的预测误差为 1.14%。模型评估结果表明,籽粒产量的观测值与模拟值吻合较好,均方根误差(RMSE)在 172 至 193 千克/公顷之间。未来气候情景的结果表明,在 RCP4.5 下,半干旱和干旱环境的 T(分别增加 2.8°C 和 2.9°C)和 T(分别增加 2.5°C 和 2.7°C)将会增加。对于 RCP8.5,半干旱和干旱环境的 T 将增加 4°C,半干旱和干旱环境的 T 将分别增加 3.7°C 和 3.9°C。气候变化的影响表明,在 RCPs 4.5 和 8.5 下,费萨拉巴德的小米产量将减少 7%至 10%,在 RCP 4.5 和 8.5 下,拉耶的小米产量将减少 10%至 13%。因此,CSM-CERES-小米是评估气候变化影响的有用工具。