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Yield Gap Analysis Using Remote Sensing and Modelling Approaches: Wheat in the Northwest of Iran
International Journal of Plant Production ( IF 2.5 ) Pub Date : 2020-03-06 , DOI: 10.1007/s42106-020-00095-4
Parisa Alizadeh Dehkordi , Alireza Nehbandani , Saeid Hassanpour-bourkheili , Behnam Kamkar

The reduction of the yield gap is one of the strategies implemented for the improvement of food security. In this research, the yield gap of wheat in the west of Golestan province, Iran, was estimated using a two-step methodology. In the first step, the potential yield was evaluated using the SSM-iCrop2 model and in the following, the yield gap was determined by the difference between the actual yield and potential yield. In the second step, the NDVI-actual yield regression in parallel with boundary-line analysis was used to assess the attainable yield. The estimated attainable yield varied from 3.0 to 5.8 t ha −1 . Accordingly, the attainable yield gap in the studied region was 2.6 t ha −1 on average, which could be obtained via improved management. Also, based on model outputs, the potential yield varied from 5.4 to 7.2 t ha −1 which suggests a high possibility to improve wheat yield in the west parts of Golestan province. The results of the study provided basic information to quantify the yield gap and yield optimization options. Our results revealed that remote sensing in combination with crop simulation models is a powerful tool in regional assessments and removes the limitations of working with point data.

中文翻译:

使用遥感和建模方法进行产量差距分析:伊朗西北部的小麦

减少产量差距是为改善粮食安全而实施的战略之一。在这项研究中,使用两步法估算了伊朗 Golestan 省西部小麦的产量差距。在第一步中,使用 SSM-iCrop2 模型评估潜在产量,然后通过实际产量和潜在产量之间的差异确定产量差距。在第二步中,与边界线分析并行的 NDVI 实际产量回归用于评估可达到的产量。估计可达到的产量从 3.0 到 5.8 t ha -1 不等。因此,研究区域可达到的产量差距平均为 2.6 t ha -1,这可以通过改进管理来获得。此外,根据模型输出,潜在产量从 5.4 到 7 不等。2 t ha -1 表明在 Golestan 省西部地区提高小麦产量的可能性很大。研究结果提供了量化良率差距和良率优化选项的基本信息。我们的结果表明,遥感与作物模拟模型相结合是区域评估的强大工具,消除了使用点数据的局限性。
更新日期:2020-03-06
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