作物学报2018，Vol.44Issue(5)：750-761,12.DOI:10.3724/SP.J.1006.2018.00750
作物模型中单叶最大光合作用速率的温度响应修订
Correcting the Response of Maximum Leaf Photosynthetic Rate to Tempera-tures in Crop Models
摘要
Abstract
Crop photosynthesis is sensitive to temperature variations, and the temperature dependence of photosynthesis is known to vary with growth environments and crop varieties. Crop models based on light use efficiency model, seldom correct parameter values related to the temperature dependence of photosynthesis for a specific crop, which unavoidably increases the simulation errors in dry biomass. In this paper, a scheme used to correct those parameter values was put forward with the rice crop model ORYZA2000 as an example to evaluate the scheme's performance. The temperature-controlled experiments were conducted to observe photosynthesis at heading stage of rice variety Liangyoupeijiu in 2012 and 2013. The data were first analyzed to retrieve photosynthetic characteristics from light response curves and CO2response curve. Based on their relationship with temperatures, temperature effect functions were established for all temperature sensitive photosynthetic parameters using Arrhenius and Peaked functions. A biochemical photosynthesis model was applied to simulate the changes of maximum leaf photosynthetic rate with temperatures, based on which temperature response curve for maximum leaf photosynthetic rate was produced and normalized to replace the default parameter values in ORYZA2000. The observations of above ground biomass (WAGT) of Liangyoupeijiu in two years were used to validate simulations before and after the correction. The normalized temperature response curve for maximum leaf photosynthetic rate of Liangyoupeijiu was different from the default response curve in ORYZA2000. From the corrected response curve, the optimal temperature for photosynthesis was between 38-40°C, higher than the default, and tem-perature effect coefficient was lower than the default between 10-20°C. Compared with the default parameter values, average relative error of the corrected parameter values was reduced by 3.3%. In conclusion, the method used in this paper can be an im-portant reference for improving biomass simulation accuracy and analyzing temperature dependence of photosynthesis for differ-ent crop varieties.关键词
温度依存性/物候期/干物质积累/气候变暖/参数值订正Key words
temperature dependence/phenology/dry biomass/climate warming/parameter value correction引用本文复制引用
杨沈斌,徐莎莎,江晓东,石春林,王应平,申双和..作物模型中单叶最大光合作用速率的温度响应修订[J].作物学报,2018,44(5):750-761,12.基金项目
本研究由国家公益性行业(气象)科研专项(GYHY201306035,GYHY201306036)和国家"十二五"科技支撑计划项目(2011BAD32B01)资助.This study was supported by Special Fund for Meteorology-scientific Research in the Public Interest(GYHY201306035,GYHY201306036)and Key Projects in the National Science & Technology Pillar Program during the Twelfth Five-year Plan Period(2011BAD32B01). （气象）
