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Acta Agronomica Sinica ›› 2018, Vol. 44 ›› Issue (05): 750-761.doi: 10.3724/SP.J.1006.2018.00750

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Correcting the Response of Maximum Leaf Photosynthetic Rate to Temperatures in Crop Models

Shen-Bin YANG1(), Sha-Sha XU2, Xiao-Dong JIANG1,3, Chun-Lin SHI3, Ying-Ping WANG4, Shuang-He SHEN1   

  1. 1 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters / College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;
    2 Yangzhou Meteorological Bureau, Yangzhou 225009, Jiangsu, China
    3 Jiangsu Academy of Agricultural Sciences, Nanjing 210014, Jiangsu, China
    4 CSIRO Marine and Atmospheric Research, PMB # 1, Aspendale, Victoria 3195, Australia
  • Received:2017-11-15 Accepted:2018-03-15 Online:2018-05-20 Published:2018-03-16
  • Supported by:
    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)

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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 CO2 response 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 temperature 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 important reference for improving biomass simulation accuracy and analyzing temperature dependence of photosynthesis for different crop varieties.

Key words: temperature dependence, phenology, dry biomass, climate warming, parameter value correction

Fig. 1

Default parameter values of REDFTT in ORYZA2000"

Fig. 2

Curves of Am with the change of temperatures (a) and AL with the change of Ia under different temperatures (b) It is assumed that Ia=1000 W m-2 leaf, SN=0.7 g N m-2 leaf, CCO2=400 μmol mol-1."

Fig. 3

Scheme for parameter value correction"

Fig. 4

Light response curve (a) and CO2 response curve of green leaf (b) of Liangyoupeijiu at heading stage under different temperature treatments"

Fig. 5

Changes of characteristic values retrieved from light response curves of rice with different temperature treatments(a) Light saturation point; (b) Light compensation point; (c) Maximum photosynthesis rate; (d) Apparent quantum efficiency; (e) Rd. Mean values with standard deviations (vertical bars) are shown in the bar charts."

Fig. 6

Changes of characteristic values retrieved from CO2 response curves of rice with leaf temperatures(a) Kc and Ko; (b) Vcmax; (c) Jmax; (d) Jmax/Vcmax; (e) Γ*; (f) Rd."

Table 1

Parameter values in temperature response functions for photosynthetic parameters"

光合作用参数
Photosynthetic parameter		 方程参数
Function parameter		 参数值
Parameter value		 R2
Kc a1 406.3 μmol m-2 s-1 1.0
b1 79.48 kJ mol-1
Ko a1 277.2 mmol m-2 s-1 1.0
b1 36.31 kJ mol-1
Vcmax k25 115.0 μmol m-2 s-1 0.93
Ea 65.1 kJ mol-1
ΔS 607.4 J mol-1
Hd 200 kJ mol-1
Jmax k25 230 μmol m-2 s-1 0.89
Ea 35.44 kJ mol-1
ΔS 626.3 J mol-1
Hd 198.7 kJ mol-1
Rd k25 3.25 μmol m-2 s-1 0.92
Ea 39.35 kJ mol-1
ΔS 0.084 J mol-1
Hd 33.3 J mol-1

Fig. 7

Changes of An, Rd, and An+Rd with TL Assuming PAR=1400 μmol m-2 s-1, Ci=340 μmol mol-1."

Fig. 8

Changes of An, Rd, and An+Rd with TL under different concentration of Ci Assuming PAR=1400 μmol m-2 s-1."

Fig. 9

Relationship between leaf temperature TL and air temperature Ta (a) and Change of temperature effect coefficient with air temperature Ta (b)"

Fig. 10

Relative errors of simulated WAGT with observations before and after the modification of parameter values of REDFTT(a) for 2012; (b) for 2013. Vertical bar is standard deviation."

[1] Medlyn B E, Dreyer E, Ellsworth D, Forstreuter M, Harley P C, Kirschbaum M U F, Le Roux X, Montpied P, Strassemeyer J, Walcroft A, Wang K, Loustau D. Temperature response of parameters of a biochemically based model of photosynthesis. II. A review of experimental data.Plant Cell Environ, 2002, 25: 1167-1179
doi: 10.1046/j.1365-3040.2002.00891.x
[2] 阿里穆斯, 于贵瑞. 植物光合作用模型参数的温度依存性研究进展. 应用生态学报, 2013, 24: 3588-3594
Almaz B J, Yu G R.Temperature dependence of parameters of plant photosynthesis models: a review.Chin J Appl Ecol, 2013, 24: 3588-3594 (in Chinese with English abstract)
[3] Farquhar G D, Caemmerer S, Berry J A.A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species.Planta, 1980, 149: 78-90
doi: 10.1007/BF00386231
[4] Warren C R, Dreyer E.Temperature response of photosynthesis and internal conductance to CO2: results from two independent approaches.J Exp Bot, 2006, 57: 3057-3067
doi: 10.1093/jxb/erl067 pmid: 16882645
[5] Thornley J H M, France F. Mathematical Models in Agriculture: Quantitative Methods for the Plant, Animal and Ecological Sciences, 2nd edn. Wallingford: CABI Publishing, 2007
[6] Leuning R.Temperature dependence of two parameters in a photosynthesis model.Plant Cell Environ, 2002, 25: 1205-1210
doi: 10.1046/j.1365-3040.2002.00898.x
[7] Borjigidai A, Hikosaka K, Hirose T, Hasegawa T, Okada M, Kobayashi K.Seasonal changes in temperature dependence of photosynthetic rate in rice under a free-air CO2 enrichment.Ann Bot, 2006, 97: 549-557
doi: 10.1093/aob/mcl001 pmid: 2803663
[8] 莫兴国, 刘苏峡, 林忠辉. 基于SVAT模型的冬小麦光合作用和蒸散过程研究. 应用生态学报, 2002, 13: 1394-1398
Mo X G, Liu S X, Lin Z H.Simulating photosynthesis and evapotranspiration of winter wheat with a SVAT model.Chin J Appl Ecol, 2002, 13: 1394-1398 (in Chinese with English abstract)
[9] Steduto P, Hsiao T C, Raes D, Fereres E.AquaCrop—The FAO crop model to simulate yield response to water: I. Concepts and underlying principles.Agron J, 2008, 101: 426-437
[10] Timsina J, Humphreys E.Performance of CERES-Rice and CERES-Wheat models in rice-wheat systems: a review.Agric Syst, 2006, 90: 5-31
doi: 10.1016/j.agsy.2005.11.007
[11] Boogaard L H, Van Diepen C A, Rotter R P, Cabrera J C M A, Van Laar H H. User’s Guide for the WOFOST 7.1 Crop Growth Simulation Model and WOFOST Control Center 1.5. Wageningen: DLO Winand Staring Centre, 1998
[12] Holzworth D P, Huth N I, deVoil P G, Zurcher E J, Herrmann N I, McLean G, Chenu K, Van Oosterom E J, Snow V, Murphy C, Moore A D, Brown H, Whish J P M, Verrall S, Fainges J, Bell L W, Peake A S, Poulton P L, Keating B A. APSIM—Evolution towards a new generation of agricultural systems simulation.Environ Modell Softw, 2014, 62: 327-350
doi: 10.1016/j.envsoft.2014.07.009
[13] Bouman B A M, Van Laar H H. Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions.Agric Syst, 2006, 87: 249-273
doi: 10.1016/j.agsy.2004.09.011
[14] 钱莲文, 张新时, 杨智杰, 韩志刚. 几种光合作用光响应典型模型的比较研究. 武汉植物学研究, 2009, 27: 197-203
doi: 10.3969/j.issn.2095-0837.2009.02.013
Qian L W, Zhang X S, Yang Z J, Han Z G.Comparison of different light response models for photosynthesis.J Wuhan Bot Res, 2009, 27: 197-203 (in Chinese with English abstract)
doi: 10.3969/j.issn.2095-0837.2009.02.013
[15] 何亮, 侯英雨, 赵刚, 邬定荣, 于强. 基于全局敏感性分析和贝叶斯方法的WOFOST作物模型参数优化. 农业工程学报, 2016, 32(2): 169-179
He L, Hou Y Y, Zhao G, Wu D R, Yu Q.Parameters optimization of WOFOST model by integration of global sensitivity analysis and Bayesian calibration method.Trans CSAE, 2016, 32(2): 169-179 (in Chinese with English abstract)
[16] 刘建栋, 周秀骥, 于强. FAO生产潜力模型中基本参数的修正. 自然资源学报, 2001, 16: 240-247
Liu J D, Zhou X J, Yu Q.Modification of the basic parameter in FAO productivity model.J Nat Resour, 2001, 16: 240-247 (in Chinese with English abstract)
[17] Lobell D B, Gourdji S M.The influence of climate change on global crop productivity.Plant Physiol, 2012, 160: 1686-1697
doi: 10.1104/pp.112.208298
[18] 杨沈斌, 申双和, 赵小艳, 赵艳霞, 许吟隆, 王主玉, 刘娟, 张玮玮. 气候变化对长江中下游稻区水稻产量的影响. 作物学报, 2010, 36: 1519-1528
doi: 10.3724/SP.J.1006.2010.01519
Yang S B, Shen S H, Zhao X Y, Zhao Y X, Xu Y L, Wang Z Y, Liu J, Zhang W W.Impact of climate change on rice production in the middle and lower researches of the Yangtze River.Acta Agron Sin, 2010, 36: 1519-1528 (in Chinese with English abstract)
doi: 10.3724/SP.J.1006.2010.01519
[19] Yadav S, Li T, Humphreys E, Gill G, Kukal S S.Evaluation and application of ORYZA2000 for irrigation scheduling of puddled transplanted rice in north west India.Field Crops Res, 2011, 122: 104-117
doi: 10.1016/j.fcr.2011.03.004
[20] Li T, Angeles O, Marcaida III M, Manalo E, Manalili M P, Padanielson A, Mohanty S. From ORYZA2000 to ORYZA (v3): an improved simulation model for rice in drought and nitrogen-deficient environments. Agric For Meteorol, 2017, 237/238: 246-256
doi: 10.1016/j.agrformet.2017.02.025 pmid: 28469286
[21] 杨沈斌, 江晓东, 王应平, 申双和, 石春林, 王萌萌, 陈斐. 基于Richards扩展方程提取水稻灌浆结实光温特性参数. 作物学报, 2014, 40: 1792-1802
Yang S B, Jiang X D, Wang Y P, Shen S H, Shi C L, Wang M M, Chen F.Characterizing light and temperature effects on rice grain filling using extended Richards equation.Acta Agron Sin, 2014, 40: 1792-1802 (in Chinese with English abstract)
[22] 王萌萌, 杨沈斌, 江晓东, 王应平, 陈德, 黄维, 于庚康, 石春林. 光温要素对水稻群体茎蘖增长动态影响的分析及模拟. 作物学报, 2016, 42: 82-92
Wang M M, Yang S B, Jiang X D, Wang Y P, Chen D, Huang W, Yu G K, Shi C L.Analysis and simulation of impact of light and temperature on rice tillering.Acta Agron Sin, 2016, 42: 82-92 (in Chinese with English abstract)
[23] Long S P, Bernacchi C J.Gas exchange measurements, what can they tell us about the underlying limitations to photosynthesis? Procedures and sources of error.J Exp Bot, 2003, 54: 2393-2401
doi: 10.1093/jxb/erg262 pmid: 14512377
[24] Jones H G.Plants and Microclimate, 2nd edn. Cambridge: Cambridge University Press, 1992
[25] Amthor J S.The role of maintenance respiration in plant growth.Plant Cell Environ, 1984, 7: 561-569
doi: 10.1111/1365-3040.ep11591833
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