Performance of the SUBSTOR-potato model across contrasting growing conditions

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• 作者：Rubí ; Raymundo^a ; ^{r.raymundo@ufl.edu} ; Senthold Asseng^a ; Rishi Prassad^a ; Ulrich Kleinwechter^b ; Juan Concha^c ; Bruno Condori^c ; Walter Bowen^j ; Joost Wolf^d ; Jø ; rgen E. Olesen^e ; Qiaoxue Dong^f ; Lincoln Zotarelli^a ; Manuel Gastelo^c ; Ashok Alva^g ; Maria Travasso^h ; Roberto Quiroz^c ; Vijay Aroraⁱ ; Wendy Graham^a ; Cheryl Porter^a
• 关键词：SUBSTOR-potato ; Potato ; Crop modeling ; Model performance ; CO2 ; High temperature
• 刊名：Field Crops Research
• 出版年：2017
• 出版时间：15 February 2017
• 年：2017
• 卷：202
• 期：Complete
• 页码：57-76
• 全文大小：3486 K
• 卷排序：202

文摘

The SUBSTOR-potato model was tested with 87 experiments and 204 treatments, including 32 cultivars and three potato species. The model-observation comparison showed that the SUBSTOR-potato model can simulate tuber yields across various environments. However, the SUBSTOR-potato model cannot simulate tuber yield under elevated CO2 concentrations and high temperatures. The model response to high CO2 and high temperature require improvement before model applications on climate change.