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Research on yields estimation and yields increasing potential by irrigation of spring maize in Northeast China

机译：东北地区春玉米灌溉增产估算与增产潜力研究

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The rain-fed agriculture dominates the agricultural production in Northeast China, which leads to the drought risk for crops growing. To assess the yields and necessity of irrigation for maize in the Three Northeast Provinces of China, the calibrated and validated WOrld FOod STudies (WOFOST) model was used to estimate maize yieldss in the regional scale after it was optimized by assimilating leaf area index retrieved from remote sensing data based on Shuffled Complex Evolution (SCE-UA) algorithm. Then the gaps between potential and water limiting yieldss (the irrigation was equal to zero) were computed and mapped to detect the area where the crop irrigation improvement was demanded. The presented result could support the decision from government on the crop management which suggested that crops in the northwest of Liaoning Province, the west of Jilin Province and the southwest of Heilongjiang Province lacked the irrigation most.
机译：雨养农业在中国东北的农业生产中占主导地位，这导致了作物生长的干旱风险。为了评估中国东北三省玉米的产量和灌溉的必要性，使用经过校准和验证的WOrld FOOD STUDIES（WOFOST）模型，通过吸收从叶片中获取的叶面积指数进行优化后，对区域范围内的玉米产量进行估算。混合复杂演化（SCE-UA）算法的遥感数据。然后计算潜力和限水产量（灌溉等于零）之间的差距，并将其绘制出来，以检测需要改善作物灌溉的区域。提出的结果可以支持政府关于作物管理的决定，该决定表明辽宁省西北部，吉林省西部和黑龙江省西南部的农作物最缺乏灌溉。

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