| 油菜光合生产模拟模型 |
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| 作者姓名： | TANG Liang ZHU Yan LIU Xiao-Jun TIAN Yong-Chao YAO Xi CAO Wei-Xing |
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| 作者单位： | Jiangsu Key Laboratory for Information Agriculture,Nanfing Agricultural University,Nanjing 210095 China |
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| 基金项目： | *1Project supported by the National High Technology Research and Development Program (863 Program) of China (No. 2006AA10A303) and the Post-Doctoral Program of Jiangsu Province, China (No. 0602027C). |
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| 摘 要： | Photosynthetic production is a major determinant of final yield in crop plants. A simulation model was developed for canopy photosynthesis and dry matter accumulation in oilseed rape (Brassica napus L.) based on the ecophysiological processes and using a three-layer radiation balance scheme for calculating the radiation interception and absorption by the layers of flowers, pods, and leaves within the canopy. Gaussian integration method was used to calculate photosynthesis of the pod and leaf layers, and the daily total canopy photosynthesis was determined by the sum of photosynthesis from the two layers of green organs. The effects of physiological age, temperature, nitrogen, and water deficit on maximum photosynthetic rate were quantified. Maintenance and growth respiration were estimated to determine net photosynthetic production. Partition index of the shoot in relation to physiological development time was used to calculate shoot dry matter from plant biomass and shoot biomass loss because of freezing was quantified by temperature effectiveness. Testing of the model for dynamic dry matter accumulation through field experiments of different genotypes, sowing dates, and nitrogen levels showed good fit between the observed and simulated data, with an average root mean square error of 10.9% for shoot dry matter. Thus, the present model appears to be reliable for the prediction of photosynthetic production in oilseed rape.
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| 关 键 词： | canopy CO2 assimilation dry matter accumulation N nutrition index radiation |
| 收稿时间： | 23 May 2009 |
Simulation model for photosynthetic production in oilseed rape |
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| TANG Liang,ZHU Yan,LIU Xiao-Jun,TIAN Yong-Chao,YAO Xi,CAO Wei-Xing.Simulation model for photosynthetic production in oilseed rape[J].Pedosphere,2009,19(6):700-710. |
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| Authors: | TANG Liang ZHU Yan LIU Xiao-Jun TIAN Yong-Chao YAO Xia and CAO Wei-Xing |
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| Institution: | Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China);Jiangsu Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095 (China) |
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| Abstract: | Photosynthetic production is a major determinant of final yield in crop plants. A simulation model was developed for canopy photosynthesis and dry matter accumulation in oilseed rape (Brassica napus) based on the ecophysiological processes and using a three-layer radiation balance scheme for calculating the radiation interception and absorption by the layers of flowers, pods, and leaves within the canopy. Gaussian integration method was used to calculate photosynthesis of the pod and leaf layers, and the daily total canopy photosynthesis was determined by the sum of photosynthesis from the two layers of green organs. The effects of physiological age, temperature, nitrogen, and water deficit on maximum photosynthetic rate were quantified. Maintenance and growth respiration were estimated in determining net photosynthetic production. Partition index of the shoot in relation to physiological development time was used to calculate shoot dry matter from plant biomass and shoot biomass loss because of freezing was quantified by temperature effectiveness. Testing of the model for dynamic dry matter accumulation through field experiments of different genotypes, sowing dates, and nitrogen levels showed good fit between the observed and simulated data, with an average root mean square error of 10.9% for shoot dry matter. Thus, the present model appears to be reliable for the prediction of photosynthetic production in oilseed rape. |
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| Keywords: | canopy CO_2 assimilation dry matter accumulation N nutrition index radiation |
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