赵扬辉,汤 亮,曹卫星,朱 艳.小麦生长模拟模型(WheatGrow)的适应性评价[J].麦类作物学报,2010,30(3):443 |
小麦生长模拟模型(WheatGrow)的适应性评价 |
Adaptability Evaluation of a Wheat Growth Model (WheatGrow) |
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DOI:10.7606/j.issn.1009-1041.2010.03.010 |
中文关键词: 小麦 WheatGrow模型 适应性 评价 |
英文关键词:Wheat Model of WheatGrow Adaptability Evaluation |
基金项目:国家“863”计划项目(2006AA10Z219);国家重点基础研究发展计划项目(2009CB118608);国家自然科学基金项目(300800136)。 |
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中文摘要: |
为对小麦生长模拟模型(WheatGrow)的稳定性和适应性进行测试与评价,基于IoA(一致性系数)、MAE(绝对平均误差)和NRMSE(标准根均方差)等指标,利用不同地点、年份、品种、氮素及播期的小麦田间试验资料对模型进行校正和检验。结果表明,WheatGrow模型对小麦生育期模拟值与实测值的误差为0~9 d,在南京、徐州、泰安和保定地区对叶面积指数、地上部干物重和产量的模拟值与实测值比较的NRMSE平均值分别为12.56%~20.78%、11.37%~20.85%和2.37%~6.99%,说明模型对各生态点具有较好的模拟效果,能较好地应用于区域适应性验证的研究。 |
英文摘要: |
The objective of this study was to test and evaluate the stability and applicability of the model using the datasets involved various conditions based on WheatGrow model. WheatGrow model was calibrated and validated by datasets from different ecological sites, years, cultivars and treatments using statistics methods, i.e., IoA, MAE, NRMSE, etc. The results showed that the errors between simulated and observed main development stage were 0-9 days, the mean NRMSE between simulated and observed LAI, dry matter weight and yield were 12.56%~27.37%, 11.37%~28.43% and 2.37~6.99% in Nanjing, Xuzhou, Tai′an, and Baoding, respectively, which indicated that WheatGrow had a good predictability on various sites and would lay a foundation for wheat productivity and its early warning. |
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