Construction of the Model for Soil Moisture Effects on Leaf Photosynthesis Rate of Winter Wheat

Wang Peijuan; Ma Yuping; Huo Zhiguo; Yang Jianying; Wu Dingrong

doi:10.11898/1001-7313.20200302

Vol.31, NO.3, 2020

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Article Navigation > Journal of Applied Meteorological Science > 2020 > 31(3): 267-279

Wang Peijuan, Ma Yuping, Huo Zhiguo, et al. Construction of the model for soil moisture effects on leaf photosynthesis rate of winter wheat. J Appl Meteor Sci, 2020, 31(3): 267-279. DOI: 10.11898/1001-7313.20200302.

Citation:

Wang Peijuan, Ma Yuping, Huo Zhiguo, et al. Construction of the model for soil moisture effects on leaf photosynthesis rate of winter wheat. J Appl Meteor Sci, 2020, 31(3): 267-279. DOI: 10.11898/1001-7313.20200302.

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Construction of the Model for Soil Moisture Effects on Leaf Photosynthesis Rate of Winter Wheat

DOI: 10.11898/1001-7313.20200302

1.
Chinese Academy of Meteorological Sciences, Beijing 100081
2.
Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2019-10-12
Rev Recd Date: 2019-12-24
Publish Date: 2020-05-31

Abstract

Abstract

The rate of leaf photosynthesis, which is sensitive to soil moisture, is one of the most important parameters to characterize the photosynthetic capacity of plants. Constructing a model which can reveal effects of soil moisture on leaf photosynthesis rate of winter wheat will be helpful to accurately understand the photosynthesis and yield formation. A total of 310 photosynthesis rate samples under different soil moistures, including 227 drought stress samples in 50 tests and 83 waterlogging stress samples in 14 tests, are jointly collected from 17 winter wheat cultivars at 11 experimental sites via the published references. However, photosynthesis rates of winter wheat are quite different between different cultivars, different developmental stages, and different experimental sites. Normalized photosynthesis rate coefficients for winter wheat are derived by calculating the ratio of leaf photosynthesis rate under different water stresses and CK. And then, segmental and exponential models are established for effects of drought and waterlogging stresses on leaf photosynthesis rate of winter wheat, respectively. The model for soil moisture effects on leaf photosynthesis rate of winter wheat (SMEP) is correspondingly constructed. Photosynthesis rate coefficients of winter wheat leaves show the trend of "stable low value-linear increase-stable high value-slow decrease" with the increase of soil relative moisture. Meanwhile, photosynthesis rate coefficients exhibit characteristics of "slow decline-rapid decline" with the prolongation of waterlogging stress. Four tests, including back-training test, extrapolation test, single-site test and certain developmental stage test, are also done to validate the SMEP model. Generally, the results simulated by the SMEP model are in good agreement with the records in the literatures. The linear regression coefficients are all around 1.0, and the regression equations all pass the significant test of 0.01. SMEP model will be coupled to Chinese Agro-Meteorological Model (CAMM1.0), providing scientific and technological supports for the continuous improvement of CAMM1.0.
- winter wheat;
- drought stress;
- waterlogging stress;
- leaf photosynthesis rate;
- SMEP model

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References(45)

Figures and Tables

Fig. 1 Site distribution for water stress experiments reported in references

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Fig. 2 Schematic diagram of soil relative moisture effects on leaf photosynthesis rate of winter wheat

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图 3 干旱对冬小麦叶片光合速率的影响

(a)冬小麦叶片光合速率系数随土壤相对湿度的变化动态,
(b)文献数据和SMEP模型模拟的冬小麦叶片光合速率系数对比验证

Fig. 3 Effects of drought stresses on leaf photosynthesis rate of winter wheat

(a)dynamics of photosynthesis rate coefficients with soil relative moisture,
(b)comparisons of photosynthesis rate coefficients between records from references and SMEP simulations

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图 4 渍水持续时间对冬小麦叶片光合速率的影响

(a)冬小麦叶片光合速率系数随渍水持续日数的变化动态,
(b)文献数据和SMEP模型模拟的冬小麦叶片光合速率系数对比验证

Fig. 4 Effect of waterlogging duration on leaf photosynthesis rate of winter wheat

(a)dynamics of photosynthesis rate coefficients with waterlogging durations,
(b)comparisons of photosynthesis rate coefficients between records from references and SMEP simulations

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图 5 文献[26]冬小麦渍害模型验证结果

(a)孕穗前, (b)孕穗后

Fig. 5 Validations of photosynthesis rate coefficients for winter wheat leaves under waterlogging stresses with wet damage in Reference [26]

(a)before booting stage, (b)after booting stage

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图 6 干旱对冬小麦叶片光合速率系数的外推检验结果

(a)光合速率系数随土壤相对湿度变化, (b)文献数据与SMEP模型模拟的光合速率系数对比

Fig. 6 Independent validations of photosynthesis rate coefficients of winter wheat leaves under drought stresses

(a)dynamics of photosynthesis rate coefficients with soil relative moisture,
(b)comparisons of photosynthesis rate coefficients between records from references and SMEP simulations

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图 7 渍水对冬小麦叶片光合速率系数的集合验证结果

(a)光合速率系数随渍水持续日数变化, (b)文献数据与SMEP模型模拟的光合速率系数对比

Fig. 7 Independent validations of photosynthesis rate coefficients for winter wheat leaves under waterlogging stresses

(a)dynamics of photosynthesis rate coefficients with waterlogging duration,
(b)comparisons of photosynthesis rate coefficients between records from references and SMEP simulations

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Fig. 8 Single-site validations of photosynthesis rate coefficients for winter wheat leaves under drought and waterlogging stresses (a)drought stress at Luancheng, (b)drought stress at Xinxiang, (c)waterlogging stress at Hefei

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Fig. 9 Dynamics of photosynthesis rate coefficients for winter wheat leaves with soil relative moisture at jointing(a) and booting(b) stages

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Table 1 Summary of photosynthesis rate for winter wheat flag leaves under different water stresses reported in references

胁迫试验	试验品种	试验地点	省份	组数	样本量	发育阶段	光强/(μmol·m^-2·s^-1)	文献
	新冬2	阜康	新疆	1	5	灌浆期	1400	^[28]
	高优503	栾城	山东	5	25	拔节-蜡熟期		^[29]
	高优503	栾城	山东	8	39	拔节-灌浆期		^[30]
	小偃22	杨凌	陕西	1	4	三叶期		^[31]
	京麦9428	大兴	北京	1	2	灌浆期	饱和光强	^[32]
	扬麦9	南京	江苏	4	12	灌浆期		^[33]
	周麦27	鹤壁	河南	3	9	灌浆期		^[34]
干旱	山农20	泰安	山东	1	4	灌浆期		^[35]
	山农21	泰安	山东	1	4	灌浆期		^[35]
	扬麦10	南京	江苏	5	43	起身-灌浆期	1000±20	^[18]
	鲁麦7	莱阳	山东	7	27	孕穗-灌浆期		^[36]
	郑麦98	新乡	河南	3	15	拔节期		^[37]
		长武	陕西	9	27			^[38]
	鲁麦23	泰安	山东	1	11^*	拔节期	饱和光强	^[20]
	烟农19	合肥	安徽	4	28	开花-灌浆期		^[25]
	汶农17	南京	江苏	1	3	开花-灌浆期		^[39]
	扬麦16	南京	江苏	1	3	开花-灌浆期		^[39]
渍水	豫麦34	南京	江苏	1	2	开花-灌浆期	1100	^[24]
	扬麦9	南京	江苏	1	2	开花-灌浆期	1100	^[24]
	扬麦13	南京	江苏	1	4	开花-灌浆期	1100	^[40]
	扬麦10	南京	江苏	5	41^*	起身-灌浆期	1000±20	^[18]
注：*表示建模数据，其余为验证数据；光强数值空缺表示测量条件是晴朗无云的09:00—11:00(北京时，下同)。

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Table 2 Photosynthesis rate coefficients for winter wheat leaves between records from references and SMEP simulations

站点	线性回归方程	决定系数	均方根误差	样本量
栾城	y=1.3219x-0.3130	0.9791	0.005	5
新乡	y=0.9922x+0.0182	0.9342	0.003	5
合肥	y=0.9008x-0.0299	0.9078	0.018	7
注：x为文献数据，y为SMEP模型模拟结果，且所有方程均达到0.01显著性水平。

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Table 3 Photosynthesis rate coefficients for winter wheat leaves between records from references and SMEP simulations at jointing and booting stages

发育期	线性回归方程	决定系数	均方根误差	样本量
拔节期	y=1.0753x-0.0860	0.8372	0.0067	9
灌浆期	y=0.9545x+0.0255	0.6106	0.0113	12

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