CO2 Response Model Fitting and Evaluation of Vitis amurensis

doi:10.13304/j.nykjdb.2022.0915

Abstract

Abstract:

To explore the effect of Vitis amurensis Rupr. leaf on CO₂ response characteristics， 4 varieties of 5 a Vitis amurensis Rupr. were as materials， including ‘Beibinghong’ ‘Beiguohong’ ‘Shuanghong’ and ‘Xuelanhong’. The intercellular CO₂ concentration （C_i）， stomatal conductance （G_s）， water utilization rate （WUE），transpiration rate （T_r） were determined including using Li-6400 portable photosynthesis system. The photosynthetic CO₂ response curve （P_n-C_i） of Vitis amurensis Rupr. leaf was fitted by rectangular hyperbola model， Michaelis-Menten model， modified rectangular hyperbola model. The results showed that， the fitting values of photosynthetic parameters were close to measured values by the modified rectangular hyperbola models， which could directly calculate the CO₂ saturation point （CSP）. With the increase of atmospheric CO₂ concentration （C_a）， C_i of 4 varieties showed a linear increasing trend， G_s and T_r generally increased first and then decreased， WUE decreased first and then increased with ‘U’ trend. The principal component analysis extracted 2 principal components， which the cumulative variance contribution rate reached 84.613%. The score of ‘Xuelanhong’ was the highest in the comprehensive evaluation， which had the best adaptability in low C_a environment， and conversion rate of light energy was the highest. ‘Shuanghong’ was second， which could maintain high photosynthetic efficiency at different concentrations of C_a. In conclusion， the modified rectangular hyperbola models was the best on fitted the P_n-C_i response curve of Vitis amurensis Rupr.

Key words: Vitis amurensis Rupr., CO₂ response model, subordinate function, principal component analysis （PCA）

摘要：

为探索不同山葡萄品种叶片CO₂响应特征差异，以5 a生山葡萄‘北冰红’‘北国红’‘双红’和‘雪兰红’为试材，采用Li-6400便携式光合仪，测定果实膨大期山葡萄叶片光合-二氧化碳响应曲线（photosynthetic CO₂ response curve，P_n-C_i）以及胞间CO₂浓度（intercellular CO₂ concentration，C_i）、气孔导度（stomatal conductance，G_s）、水分利用率（water use efficiency，WUE）和蒸腾速率（transpiration rate，T_r）等气体交换参数，基于直角双曲线模型、Michaelis-Menten模型和直角双曲线修正模型3种模型拟合山葡萄叶片P_n-C_i响应曲线。结果表明，直角双曲线修正模型拟合的山葡萄P_n-C_i响应曲线，其拟合参数与实测值最为接近，可直接计算CO₂饱和点（CO₂ saturation point，CSP）。随大气CO₂浓度（atmospheric CO₂ concentration，C_a）的增加，4个山葡萄品种C_i呈线性递增趋势；G_s和T_r总体呈先升后降趋势；WUE先降后升，呈“U”型变化趋势。主成分分析提取出2个主成分，累计贡献率达84.613%。综合评价‘雪兰红’得分最高，光能转化利用率最高，在低C_a环境下的适应性最佳；‘双红’在不同C_a水平下均可保持较高光合效率，排名第2。综上所述，直角双曲线修正模型拟合山葡萄叶片P_n-C_i响应曲线效果最优。

关键词: 山葡萄, CO₂响应模型, 隶属函数, 主成分分析

CLC Number:

S663.1

Yue PAN, Baoqing WANG, Jijiao WANG, Yong MA, Yalan LI. CO₂ Response Model Fitting and Evaluation of Vitis amurensis[J]. Journal of Agricultural Science and Technology, 2024, 26(4): 58-66.

潘越, 王宝庆, 王季姣, 马勇, 李亚兰. 不同山葡萄品种CO₂响应模型拟合及评价[J]. 中国农业科技导报, 2024, 26(4): 58-66.

Figures/Tables 7

References 40

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品种Variety	参数Parameter	直角双曲线模型 Rectangular hyperbola model	Michaelis-Menten模型 Michaelis-Menten model	直角双曲线修正模型 Modified rectangular hyperbola model	实测值 Measured value
北冰红 Beibinghong	初始羧化效率ƞ	0.044 9	0.044 9	0.038 5	—
	表观羧化效率ACE	0.024 6^**（R²=0.980 0）	0.024 6^**（R²=0.980 0）	0.024 5^**（R²=0.982 1）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	60.897 5	60.897 5	24.111 7	24.069 8
	CO ₂ 补偿点Γ/（μmol·mol^-2）	77.902 3	77.902 3	79.177 1	42.909 6
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 530.792 7	1 530.792 7	1 264.820 0	1 024.170 5
	光呼吸速率R_p/（μmol·mol^-1）	3.307 8	3.307 8	2.978 1	—
北国红 Beiguohong	初始羧化效率ƞ	0.040 5	0.040 5	0.036 2	—
	表观羧化效率ACE	0.019 2^**（R²=0.997 1）	0.019 2^**（R²=0.997 1）	0.019 2^**（R²=0.997 7）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	41.554 3	41.554 3	19.810 1	28.577 3
	CO ₂ 补偿点Γ/（μmol·mol^-2）	82.477 8	82.477 8	83.754 2	43.907 1
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 341.573 7	1 341.573 7	1 593.300 0	1 532.338 7
	光呼吸速率R_p/（μmol·mol^-1）	3.094 7	3.094 7	2.884 5	—
双红 Shuanghong	初始羧化效率ƞ	0.040 9	0.040 9	0.037 7	—
	表观羧化效率ACE	0.021 1^**（R²=0.997 2）	0.021 1^**（R²=0.997 2）	0.021 1^**（R²=0.997 4）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	49.173 9	49.173 9	23.937 4	36.960 8
	CO ₂ 补偿点Γ/（μmol·mol^-2）	70.992 2	70.992 2	71.240 6	28.246 8
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 427.480 8	1 427.480 8	1 892.530 0	1 781.738 4
	光呼吸速率R_p/（μmol·mol^-1）	2.739 4	2.739 4	2.578 2	—
雪兰红 Xuelanhong	初始羧化效率ƞ	0.047 4	0.047 4	0.040 7	—
	表观羧化效率ACE	0.021 1^**（R²=0.996 6）	0.021 1^**（R²=0.996 6）	0.021 1^**（R²=0.997 5）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	47.320 7	47.320 7	22.630 6	21.880 6
	CO ₂ 补偿点Γ/（μmol·mol^-2）	63.140 4	63.140 4	62.971 0	7.208 9
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 290.484 5	1 290.484 5	1 396.940 0	997.014 6
	光呼吸速率R_p/（μmol·mol^-1）	2.812 4	2.812 4	2.483 7	—

品种Variety	参数Parameter	直角双曲线模型 Rectangular hyperbola model	Michaelis-Menten模型 Michaelis-Menten model	直角双曲线修正模型 Modified rectangular hyperbola model	实测值 Measured value
北冰红 Beibinghong	初始羧化效率ƞ	0.044 9	0.044 9	0.038 5	—
	表观羧化效率ACE	0.024 6^**（R²=0.980 0）	0.024 6^**（R²=0.980 0）	0.024 5^**（R²=0.982 1）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	60.897 5	60.897 5	24.111 7	24.069 8
	CO ₂ 补偿点Γ/（μmol·mol^-2）	77.902 3	77.902 3	79.177 1	42.909 6
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 530.792 7	1 530.792 7	1 264.820 0	1 024.170 5
	光呼吸速率R_p/（μmol·mol^-1）	3.307 8	3.307 8	2.978 1	—
北国红 Beiguohong	初始羧化效率ƞ	0.040 5	0.040 5	0.036 2	—
	表观羧化效率ACE	0.019 2^**（R²=0.997 1）	0.019 2^**（R²=0.997 1）	0.019 2^**（R²=0.997 7）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	41.554 3	41.554 3	19.810 1	28.577 3
	CO ₂ 补偿点Γ/（μmol·mol^-2）	82.477 8	82.477 8	83.754 2	43.907 1
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 341.573 7	1 341.573 7	1 593.300 0	1 532.338 7
	光呼吸速率R_p/（μmol·mol^-1）	3.094 7	3.094 7	2.884 5	—
双红 Shuanghong	初始羧化效率ƞ	0.040 9	0.040 9	0.037 7	—
	表观羧化效率ACE	0.021 1^**（R²=0.997 2）	0.021 1^**（R²=0.997 2）	0.021 1^**（R²=0.997 4）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	49.173 9	49.173 9	23.937 4	36.960 8
	CO ₂ 补偿点Γ/（μmol·mol^-2）	70.992 2	70.992 2	71.240 6	28.246 8
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 427.480 8	1 427.480 8	1 892.530 0	1 781.738 4
	光呼吸速率R_p/（μmol·mol^-1）	2.739 4	2.739 4	2.578 2	—
雪兰红 Xuelanhong	初始羧化效率ƞ	0.047 4	0.047 4	0.040 7	—
	表观羧化效率ACE	0.021 1^**（R²=0.996 6）	0.021 1^**（R²=0.996 6）	0.021 1^**（R²=0.997 5）	—
	最大净光合速率 P_nmax/（μmol·m^-2·s^-1）	47.320 7	47.320 7	22.630 6	21.880 6
	CO ₂ 补偿点Γ/（μmol·mol^-2）	63.140 4	63.140 4	62.971 0	7.208 9
	CO ₂ 饱和点CSP/（μmol·mol^-2）	1 290.484 5	1 290.484 5	1 396.940 0	997.014 6
	光呼吸速率R_p/（μmol·mol^-1）	2.812 4	2.812 4	2.483 7	—

指标 Index	变幅 Range	均值 Mean	变异系数 Coefficient of variation/%	中位数 Median	标准差 Standard deviation
初始羧化效率ƞ	0.036 2~0.040 7	0.038 3	16.506 2	0.040 6	0.006 3
表观羧化效率ACE	19.810 1~24.111 7	22.622 4	20.400 2	21.913 5	4.615 0
最大净光合速率P_nmax/（μmol·m^-2·s^-1）	62.971 0~83.754 2	74.285 7	18.124 3	74.132 9	13.463 8
CO ₂ 补偿点Γ/（μmol·mol^-2）	1 264.280 0~1 892.530 0	1 536.897 5	17.597 2	1 445.000 0	270.451 3
CO ₂ 饱和点CSP/（μmol·mol^-2）	2.483 7~2.978 1	2.725 3	11.424 1	2.584 1	0.311 3

指标 Index	变幅 Range	均值 Mean	变异系数 Coefficient of variation/%	中位数 Median	标准差 Standard deviation
初始羧化效率ƞ	0.036 2~0.040 7	0.038 3	16.506 2	0.040 6	0.006 3
表观羧化效率ACE	19.810 1~24.111 7	22.622 4	20.400 2	21.913 5	4.615 0
最大净光合速率P_nmax/（μmol·m^-2·s^-1）	62.971 0~83.754 2	74.285 7	18.124 3	74.132 9	13.463 8
CO ₂ 补偿点Γ/（μmol·mol^-2）	1 264.280 0~1 892.530 0	1 536.897 5	17.597 2	1 445.000 0	270.451 3
CO ₂ 饱和点CSP/（μmol·mol^-2）	2.483 7~2.978 1	2.725 3	11.424 1	2.584 1	0.311 3

主成分Principal component	提取平方载荷值Extract the value of the square load			旋转平方载荷值Value of the rotation squared load
主成分Principal component	特征根Characteristic root	贡献率Contribution rate/%	累计贡献率Cumulative contribution rate/%	特征根Characteristic root	贡献率Contribution rate/%	累计贡献率Cumulative contribution rate/%
PC1	2.800	56.005	56.005	2.788	55.759	55.759
PC2	1.430	28.608	84.613	1.443	28.854	84.613

CO₂ Response Model Fitting and Evaluation of Vitis amurensis

不同山葡萄品种CO₂响应模型拟合及评价

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P_n-C_i响应参数 P_n-C_i response parameter	载荷值Loading value
P_n-C_i响应参数 P_n-C_i response parameter	PC1	PC2
初始羧化效率ƞ	0.934 8	-0.317 3
表观羧化效率ACE	0.583 9	-0.186 3
最大净光合速率P_nmax	0.969 4	0.213 0
CO ₂ 补偿点Γ	-0.137 9	0.957 8
CO ₂ 饱和点CSP	-0.783 9	-0.586 9

品种 Variety	f₁得分 f₁ score	排序 Ranking	f₂得分 f₂ score	排序 Ranking	f_z得分 f_z score	排序 Ranking
北冰红Beibinghong	0.350 7	3	-1.150 2	4	-0.161 1	3
北国红Beiguohong	-0.546 3	4	-0.090 7	2	-0.390 9	4
双红Shuanghong	0.659 5	2	0.426 4	1	0.580 0	2
雪兰红Xuelanhong	1.422 0	1	-0.148 8	3	0.886 3	1

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