植物生态学报 ›› 2021, Vol. 45 ›› Issue (4): 420-428.DOI: 10.17521/cjpe.2020.0326
所属专题: 光合作用
• 研究论文 • 上一篇
叶子飘1, 于冯2,3, 安婷1, 王复标1, 康华靖2,3,4,*
收稿日期:
2020-10-09
接受日期:
2021-01-16
出版日期:
2021-04-20
发布日期:
2021-03-09
通讯作者:
ORCID: *康华靖: 0000-0003-3808-3115(kanghuajing@126.com)
作者简介:
* kanghuajing@126.com基金资助:
YE Zi-Piao1, YU Feng2,3, AN Ting1, WANG Fu-Biao1, KANG Hua-Jing2,3,4,*
Received:
2020-10-09
Accepted:
2021-01-16
Online:
2021-04-20
Published:
2021-03-09
Contact:
KANG Hua-Jing
Supported by:
摘要:
构建一个普适性的植物叶片气孔导度(gs)对CO2浓度响应(gs-Ca)的模型, 对定量研究植物叶片gs对CO2浓度的响应变化尤为必要。该研究运用便携式光合仪(LI-6400)测量了大豆(Glycine max)和小麦(Triticum aestivum)光合作用对CO2的响应曲线(An-Ca), 在比较传统的Michaelis-Menten模型(M-M模型)和叶子飘构建的CO2响应模型拟合大豆和小麦An-Ca效果的基础上, 构建了gs-Ca响应新模型。然后用新构建的模型拟合大豆和小麦的gs-Ca曲线, 并将拟合结果与传统模型的拟合结果, 以及与其对应的观测数据进行比较, 以判断所构建模型是否合理。结果显示: 叶子飘构建的An-Ca模型可较好地拟合大豆和小麦的An-Ca曲线, 确定系数(R2)均高达0.999。M-M模型拟合大豆和小麦的An-Ca曲线时的R2虽然也较高, 但在较高CO2浓度时的拟合曲线偏离观测曲线。因此, 基于叶子飘的An-Ca模型构建gs-Ca模型更为可行。新构建的gs-Ca模型可较好地拟合大豆和小麦的gs-Ca曲线, R2分别为0.995和0.994, 而且还可以直接给出最大气孔导度(gs-max)、最小气孔导度(gs-min), 以及与gs-min相对应的CO2浓度值(Cs-min)。拟合得到大豆和小麦的gs-max分别为0.686和0.481 mol·m-2·s-1, 与其对应的观测值(分别为0.666和0.471 mol·m-2·s-1)之间均不存在显著差异; 同样, 拟合得到的大豆和小麦的gs-min分别为0.271和0.297 mol·m-2·s-1, 与其对应的观测值(分别为0.279和0.293 mol·m-2·s-1)之间也均不存在显著差异; 此外, 新构建的gs-Ca模型给出大豆和小麦的Cs-min值分别为741.45和1 112.43 μmol·mol -1, 与其对应的观测值(732.78和1 200.34 μmol·mol -1)也不存在显著差异。由此可见, 该研究新构建的gs-Ca模型可作为定量研究植物叶片气孔导度对CO2浓度变化的有效数学工具。
叶子飘, 于冯, 安婷, 王复标, 康华靖. 植物气孔导度对CO2响应模型的构建. 植物生态学报, 2021, 45(4): 420-428. DOI: 10.17521/cjpe.2020.0326
YE Zi-Piao, YU Feng, AN Ting, WANG Fu-Biao, KANG Hua-Jing. Investigation on CO2-response model of stomatal conductance for plants. Chinese Journal of Plant Ecology, 2021, 45(4): 420-428. DOI: 10.17521/cjpe.2020.0326
图1 大豆(A)和小麦(B)光合作用对大气CO2浓度的响应曲线(平均值±标准误,n= 5)。
Fig. 1 CO2-response curves of photosynthesis for air CO2 concentrations for soybean (A) and wheat (B)(mean ± SE, n= 5). An, net photosynthetic rate; Ca, air CO2 concentration.
参数 Parameter | 物种 Species | |||||
---|---|---|---|---|---|---|
大豆 Soybean | 小麦 Wheat | |||||
叶模型 Ye model | M-M模型 M-M model | 观测值 Observed data | 叶模型 Ye model | M-M模型 M-M model | 观测值 Observed data | |
初始斜率 α | 0.101 ± 0.019 b | 0.128 ± 0.014 a | - | 0.101 ± 0.001 b | 0.132 ± 0.001 a | - |
最大羧化速率Anmax (mol·m-2·s-1) | 48.61 ± 5.52 b | 93.71 ± 17.67 a | 49.00 ± 4.33 b | 68.13 ± 1.62 b | 127.03 ± 4.42 a | 68.02 ± 1.45 b |
饱和CO2浓度Ci,TPU (μmol·mol-1) | 1 328.28 ± 79.07 a | - | 1 332.72 ± 66.52 a | 1 596.73 ± 31.88 a | - | 1 599.46 ± 0.25 a |
CO2补偿点 Γ (μmol·mol-1) | 66.32 ± 4.04 a | 66.02 ± 4.48 a | 70.32 ± 2.33 a | 63.82 ± 1.59 b | 64.91 ± 1.26 a | 65.18 ± 1.13 ab |
光下呼吸速率Rp (μmol·m-2·s-1) | 6.22 ± 0.62 b | 7.58 ± 0.19 a | 5.39 ± 0.32 b | 6.29 ± 0.22 b | 8.06 ± 0.15 a | 6.22 ± 0.26 b |
确定系数 R2 | 0.999 8 | 0.996 3 | - | 0.999 9 | 0.995 3 | - |
表1 用叶模型和M-M模型拟合大豆和小麦叶片的An-Ca曲线得到光合参数及与其对应的观测数据(平均值±标准误,n= 5)
Table 1 Observed data and results fitted by Ye model and M-M model for An-Ca curves of soybean and wheat (mean ± SE, n= 5)
参数 Parameter | 物种 Species | |||||
---|---|---|---|---|---|---|
大豆 Soybean | 小麦 Wheat | |||||
叶模型 Ye model | M-M模型 M-M model | 观测值 Observed data | 叶模型 Ye model | M-M模型 M-M model | 观测值 Observed data | |
初始斜率 α | 0.101 ± 0.019 b | 0.128 ± 0.014 a | - | 0.101 ± 0.001 b | 0.132 ± 0.001 a | - |
最大羧化速率Anmax (mol·m-2·s-1) | 48.61 ± 5.52 b | 93.71 ± 17.67 a | 49.00 ± 4.33 b | 68.13 ± 1.62 b | 127.03 ± 4.42 a | 68.02 ± 1.45 b |
饱和CO2浓度Ci,TPU (μmol·mol-1) | 1 328.28 ± 79.07 a | - | 1 332.72 ± 66.52 a | 1 596.73 ± 31.88 a | - | 1 599.46 ± 0.25 a |
CO2补偿点 Γ (μmol·mol-1) | 66.32 ± 4.04 a | 66.02 ± 4.48 a | 70.32 ± 2.33 a | 63.82 ± 1.59 b | 64.91 ± 1.26 a | 65.18 ± 1.13 ab |
光下呼吸速率Rp (μmol·m-2·s-1) | 6.22 ± 0.62 b | 7.58 ± 0.19 a | 5.39 ± 0.32 b | 6.29 ± 0.22 b | 8.06 ± 0.15 a | 6.22 ± 0.26 b |
确定系数 R2 | 0.999 8 | 0.996 3 | - | 0.999 9 | 0.995 3 | - |
图2 大豆(A)和小麦(B)叶片的气孔导度对大气CO2浓度的响应曲线(平均值±标准误,n= 5)。
Fig. 2 CO2-response curves of stomatal conductance for air CO2 concentrations for soybean (A) and wheat (B)(mean ± SE, n= 5). Ca, air CO2 concentration;gs, stomatal conductance.
参数 Parameter | 物种 Species | |||||
---|---|---|---|---|---|---|
大豆 Soybean | 小麦 Wheat | |||||
新模型 New model | 经验模型 Empirical model | 观测值 Observed data | 新模型 New model | 经验模型 Empirical model | 观测值 Observed data | |
初始斜率 αi | (1.42 ± 0.68) × 10 -3 | - | - | (7.22 ± 1.43) × 10 -4 | - | - |
系数 βi(mol·mol-1) | (6.14 ± 0.33) × 10 -4 | - | - | (2.34 ± 0.73) × 10 -4 | - | - |
系数 γi (mol·mol-1) | (7.02 ± 0.68) × 10 -4 | - | - | (2.08 ± 0.35) × 10 -3 | - | - |
最大气孔导度 gs-max (mol·m-2·s-1) | 0.686 ± 0.154 a | 0.615 ± 0.161 a | 0.666 ± 0.151 a | 0.481 ± 0.023 a | 0.438 ± 0.013 a | 0.471 ± 0.023 a |
常数 Cs0(mol·mol-1) | - | 6 725.12 ± 3 765.30 | - | - | 2 781.66 ± 792.63 | - |
最小气孔导度 gs-min (mol·m-2·s-1) | 0.271 ± 0.062 a | - | 0.279 ± 0.066 a | 0.297 ± 0.018 a | - | 0.293 ± 0.020 a |
CO2浓度 Cs-min (μmol·mol-1) | 741.45 ± 143.22 a | - | 732.78 ± 133.14 a | 1 112.43 ± 149.31 a | - | 1 200.34 ± 200.38 a |
确定系数 R2 | 0.995 1 | 0.727 3 | - | 0.994 1 | 0.984 2 | - |
表2 由新模型和经验模型拟合大豆和小麦叶片的gs-Ca曲线得到参数及与它们对应的观测数据(平均值±标准误,n= 5)
Table 2 Observed data and results fitted by new model and empirical model for gs-Cacurves of soybean and wheat (mean ± SE, n= 5)
参数 Parameter | 物种 Species | |||||
---|---|---|---|---|---|---|
大豆 Soybean | 小麦 Wheat | |||||
新模型 New model | 经验模型 Empirical model | 观测值 Observed data | 新模型 New model | 经验模型 Empirical model | 观测值 Observed data | |
初始斜率 αi | (1.42 ± 0.68) × 10 -3 | - | - | (7.22 ± 1.43) × 10 -4 | - | - |
系数 βi(mol·mol-1) | (6.14 ± 0.33) × 10 -4 | - | - | (2.34 ± 0.73) × 10 -4 | - | - |
系数 γi (mol·mol-1) | (7.02 ± 0.68) × 10 -4 | - | - | (2.08 ± 0.35) × 10 -3 | - | - |
最大气孔导度 gs-max (mol·m-2·s-1) | 0.686 ± 0.154 a | 0.615 ± 0.161 a | 0.666 ± 0.151 a | 0.481 ± 0.023 a | 0.438 ± 0.013 a | 0.471 ± 0.023 a |
常数 Cs0(mol·mol-1) | - | 6 725.12 ± 3 765.30 | - | - | 2 781.66 ± 792.63 | - |
最小气孔导度 gs-min (mol·m-2·s-1) | 0.271 ± 0.062 a | - | 0.279 ± 0.066 a | 0.297 ± 0.018 a | - | 0.293 ± 0.020 a |
CO2浓度 Cs-min (μmol·mol-1) | 741.45 ± 143.22 a | - | 732.78 ± 133.14 a | 1 112.43 ± 149.31 a | - | 1 200.34 ± 200.38 a |
确定系数 R2 | 0.995 1 | 0.727 3 | - | 0.994 1 | 0.984 2 | - |
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