作物学报 ›› 2015, Vol. 41 ›› Issue (01): 123-135.doi: 10.3734/SP.J.1006.2015.00123
吴玮1,2,3,马玉平1,*,俄有浩1,孙琳丽1,2,景元书2
WU Wei1,2,3,MA Yu-Ping1,*,E You-Hao1,SUN Lin-Li1,2,JING Yuan-Shu2
摘要:
GECROS是荷兰瓦赫宁根农业大学近些年开发的机理性更强、算法更简要的作物生长模型。本文利用黄淮海地区夏玉米试验数据进行GECROS模型的适应性评价, 为模型进一步开展区域应用提供依据。结果表明, GECROS基本能够反映黄淮海地区夏玉米的发育进程。模型模拟夏玉米抽雄期的绝对偏差在6.0 d以内, 平均为2.1 d; 模拟成熟期的绝对偏差在8.0 d以内, 平均为3.4 d。GECROS描述夏玉米干物质积累和叶面积扩展过程的准确度较高。模拟雌穗总重的归一化均方根误差在7.8%~33.8%之间, 平均为18.6%; 模拟植株地上总重的归一化均方根误差在11.2%~32.6%之间, 平均为20.7%; 模拟LAI的绝对偏差在0.28~0.55之间, 平均为0.41, 模拟籽粒产量的绝对偏差在20.3~229.0 g m-2之间, 平均为80.9 g m-2。利用GECROS模型相对评价作物生长状况或环境影响基本可行。但GECROS模拟夏玉米发育进程仍存在低值偏高、高值偏低的现象; 在土壤水分胁迫较重时, 描述的生物量积累过程有偏低情况; 描述LAI扩展的总体效果差于生物量累积的效果。GECROS仍需进一步完善。
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