吴海云,
郭琪琳,
王金强,
李欢,
刘庆^,
青岛农业大学资源与环境学院 青岛 266109
基金项目: 现代农业产业技术体系建设专项资金CARS-10-B10

详细信息

作者简介:吴海云, 主要从事甘薯水分生理的研究。E-mail:1369524844@qq.com

通讯作者:刘庆, 主要从事甘薯营养生理及品质调控方面的研究。E-mail:qy7271@163.com

中图分类号:S531

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出版历程

收稿日期:2018-12-03
录用日期:2019-01-28
刊出日期:2019-06-01

Effects of water supply on photosynthesis and fluorescence characteristics of sweet potato[Ipomoea batatas (L.) Lam.] leaves and comparison of light response models

WU Haiyun,
GUO Qilin,
WANG Jinqiang,
LI Huan,
LIU Qing^,
College of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, China
Funds: the Industrial Technology System Construction of Modem Agriculture of ChinaCARS-10-B10

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Corresponding author:LIU Qing, E-mail:qy7271@163.com

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摘要
摘要:水分供应对甘薯生长发育、产量形成具有重要影响。为探讨不同水分处理对甘薯光合与荧光特性的影响，本研究以鲜食型甘薯‘烟薯25号’为试验材料，研究不同水分处理下甘薯叶片的光合-光响应过程及其荧光特性，并利用不同模型对光响应过程进行拟合。研究结果表明：干旱和淹水处理显著降低了甘薯叶片净光合速率（P_n）、气孔导度（G_s）和蒸腾速率（T_r）；当PAR≤1 000 μmol·m^-2·s^-1时，干旱及淹水处理P_n的降低主要受气孔限制，当PAR>1 000 μmol·m^-2·s^-1时，P_n的降低主要受非气孔限制。荧光参数表明，干旱及淹水处理下甘薯叶片光系统Ⅱ（PSⅡ）对光的捕获及吸收能力下降，热耗散增加。光响应模型以直角双曲线修正模型拟合精度最高，且能拟合出饱和光强，适用于不同的土壤水分环境。模型拟合参数显示，所有处理甘薯叶片初始量子效率（α）为0.039~0.055，位于0~0.125的理论范围值内，干旱、淹水处理下甘薯叶片表现出显著的光饱和、光抑制现象，光能利用减弱，且淹水处理的光利用能力小于干旱处理。综合分析认为，直角双曲线修正模型是甘薯不同水分条件下光响应变化最佳模型。干旱及淹水处理均会对甘薯光系统造成损伤，使甘薯光合能力下降，淹水比干旱更易于降低甘薯叶片对光的利用能力，高光强会加重甘薯水分的胁迫程度。
关键词:甘薯/
水分供应/
光合特性/
荧光特性/
光响应曲线模型
Abstract:Water supply plays a vital role in the growth and yield of sweet potato. In this paper, the edible sweet potato 'Yanshu 25' was used to study the photosynthesis-light response process and fluorescence characteristics of sweet potato leaves under different water treatments. Different models were used to study the light response process, and the effects of different water treatments on photosynthesis and fluorescence characteristics of sweet potato were analyzed. The results showed that:drought and flooding treatment significantly reduced the net photosynthetic rate (P_n), stomatal conductance (G_s), and transpiration rate (T_r) of sweet potato leaves; at PAR ≤ 1 000 μmol·m^-2·s^-1, the decrease of P_n under drought and flooding treatment was induced by stomatal restrictions, and at PAR > 1 000 μmol·m^-2·s^-1, the decrease of P_n was induced by non-stomatal restrictions. The fluorescence parameters indicated that the light capture and absorption capacity of photosystem Ⅱ (PS Ⅱ) of sweet potato leaves decreased under drought and flooding treatment, while the heat dissipation increased. The modified rectangular hyperbola model demonstrated the best fit among all the light response models and matched the light saturation point. The model was, therefore, suitable for simulation of photoresponse simulation under different soil water environments. The model parameters showed that the initial quantum efficiency (α) of sweet potato leaves ranged from 0.039 to 0.055 under different water treatments, falling within the theoretical range of 0-0.125. The sweet potato leaves demonstrated significant photo-saturation and photo-inhibition under drought and flooding treatment, resulting in a reduced light utilization capacity. The light utilization capacity under flooding treatment was lower than that under drought treatment. It can be concluded that the modified rectangular hyperbola model is the optimal model to analyze light response changes of sweet potato under different water conditions. Both the drought and flooding treatment damage the photosynthetic system of sweet potato and reduce its photosynthetic capacity. Flooding is more likely to reduce the light utilization capacity of sweet potato leaves when compared with drought, and high light intensity increases the degree of water stress of sweet potato.
Key words:Sweet potato/
Water supply/
Photosynthesis characteristics/
Chlorophyll fluorescence characteristics/
Light response curve model

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图1不同水分处理下甘薯叶片气体交换参数的光响应变化
图中曲线均由二项式拟合得出。The curves in the figure are all derived from the binomial fit. P_n: net photosynthetic rate; G_s: stomatal conductance; C_i: intercellular CO₂; WUE: water use efficiency; T_r: transpiration rate; L_s: stomatal limit; PAR: photosynthetically active radiation.
Figure1.Light-response variation of gas exchange parameters of sweet potato leaves under different water treatments


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图2不同水分处理对甘薯叶片比活性参数的影响
Figure2.Effects of different water treatments on specific activity parameters of sweet potato leaves


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图3不同水分处理对甘薯叶片最大光化学效率(F_v/F_m)及光化学性能指数(PI_ABS)的影响
Figure3.Effects of different water treatments on maximal photochemical efficiency (F_v/F_m) and photochemical performance index (PI_ABS) of sweet potato leaves


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图4甘薯叶片净光合速率光响应的实测点与不同模型拟合曲线(a:直角双曲线模型; b:非直角双曲线模型; c:指数函数模型; d:直角双曲线修正模型)
ZN:正常水分处理拟合值; YN:淹水处理拟合值; GN:干旱处理拟合值; ZSC:正常水分处理实测值; YSC:淹水处理实测值; GSC:干旱处理实测值。
Figure4.Light-response curves of photosynthesis of sweet potato leaves under different water treatments (a: rectangular hyperbolic model; b: non-rectangular hyperbolic model; c: exponential model; d: modified rectangular hyperbolic model)
ZN: fitted value of normal water treatment; YN: fitted value of flooded water treatment; GN: fitted value of drought treatment; ZSC: measured value of normal moisture treatment; YSC: measured value of flooded water treatment; GSC: measured value of drought treatment. P_n: net photosynthetic rate; PAR: photosynthetically active radiation.


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表1不同模型拟合的不同水分处理甘薯叶片光响应特征参数
Table1.Light response parameters of sweet potato leaves under different water treatments fitted by different models

光响应模型 Light response model	水分处理 Water treatment	光响应参数?Light response parameter					决定系数(R2) Determination coefficient
		初始量子效率(α) Initial quantum efficiency	最大净光合速率(Pnmax) Maximum net photosynthetic rate (μmol?m-2?s-1)	饱和光强(Isat) Saturation light intensity (μmol?m-2?s-1)	光补偿点(Ic) Light compensation point (μmol?m-2?s-1)	暗呼吸速率(Rd) Dark breathing rate (μmol?m-2?s-1)
实测值 Measured value	正常?Normal	0.046 7a	19.95a	1 200a	45.52c	2.13a	—
	淹水?Flooding	0.027 8c	5.95c	800b	50.13b	1.39c	—
	干旱?Drought	0.033 7b	7.10b	800b	53.97a	1.82b	—
直角双曲线模型 Rectangular hyperbolic model	正常?Normal	0.085 7a	28.36a	—	40.63c	3.10a	0.986 4
	淹水?Flooding	0.063 0b	10.00b	—	52.83a	2.50b	0.970 3
	干旱?Drought	0.058 3c	10.69b	—	47.06b	2.18c	0.989 3
非直角双曲线模型 Non-rectangular hyperbolic model	正常?Normal	0.046 5a	22.52a	—	44.11c	2.03a	0.995 0
	淹水?Flooding	0.026 9c	7.30c	—	51.27b	1.35c	0.996 7
	干旱?Drought	0.031 2b	9.11b	—	56.61a	1.70b	0.996 8
指数模型 Exponential model	正常?Normal	0.057 6a	19.82a	—	20.30c	1.13b	0.994 7
	淹水?Flooding	0.030 1b	5.84c	—	47.66a	1.27a	0.996 4
	干旱?Drought	0.031 3b	7.04b	—	44.59b	1.27a	0.998 5
直角双曲线修正模型 Modified rectangular hyperbolic model	正常?Normal	0.054 9a	19.64a	1 157.45a	42.93c	2.25a	0.999 3
	淹水?Flooding	0.039 1c	6.02c	947.71c	46.01b	1.56c	0.998 5
	干旱?Drought	0.042 1b	7.13b	1 061.70b	52.31a	1.90b	0.9992
表中同列不同字母表示同一模型不同处理在5%水平显著。Values measured and fitted by the same model followed by different letters in the same column are significantly different at 5% level.

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