Agro-climatology Laboratory, department of agronomy, university of agriculture, Faisalabad-Pakistan.
Institute of soil and environment sciences, University of Agriculture, Faisalabad-Pakistan.
PLoS One. 2018 Jun 14;13(6):e0197546. doi: 10.1371/journal.pone.0197546. eCollection 2018.
Robustness of four wheat simulation model were tested with 2-year field experiments of three cultivars across a wide range of sowing dates in two different climatic regions: Faisalabad (semi-arid) and Layyah (arid), in Punjab-Pakistan. Wheat growing season temperature ranged from -0.1°C to 43°C. The wide series of sowing dates was a unique opportunity to grow the wheat in an environment which temperatures varies from -0.1°C to 43°C. The CERES-Wheat, Nwheat, CROPSIM-Wheat and APSIM-Wheat model were calibrated against the least-stressed treatment for each wheat cultivar. Overall, the four models described performance of early, optimum and late sown wheat well, but poorly described yields of very late planting dates with associated high temperatures during grain filling. The poor accuracy of simulations of yield for extreme planting dates point to the need to improve the accuracy of model simulations at the high end of the growing temperature range, especially given the expected future increases in growing season temperature. Improvement in simulation of maximum leaf area index of wheat for all models is needed. APSIM-Wheat only poorly simulated days to maturity of very and extremely late sown wheat compared to other models. Overall, there is a need of improvement in function of models to response high temperature.
在巴基斯坦旁遮普省的两个不同气候区（费萨拉巴德[半干旱]和拉耶[干旱]），通过 3 个品种的 2 年田间试验，测试了 4 个小麦模拟模型的稳健性，播种日期范围很广。小麦生长季节的温度范围从-0.1°C 到 43°C。广泛的播种日期系列为在温度从-0.1°C 到 43°C 变化的环境中种植小麦提供了独特的机会。CERES-Wheat、Nwheat、CROPSIM-Wheat 和 APSIM-Wheat 模型针对每个小麦品种的最不紧张处理进行了校准。总体而言，这四个模型很好地描述了早期、最佳和晚期播种的小麦的表现，但对在高温期极晚播种的产量描述不佳。对极端播种日期产量模拟的准确性较差表明，需要提高模型在生长温度范围高端的模拟准确性，特别是考虑到未来生长季节温度的预期增加。需要改进所有模型对小麦最大叶面积指数的模拟。与其他模型相比，APSIM-Wheat 仅对极晚和非常晚播种的小麦的成熟天数进行了较差的模拟。总体而言，需要改进模型对高温的响应功能。
