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叶片光合生理参数变化特征与小麦受旱状态的关系
引用本文:赵福年,王润元,张凯,齐月,陈斐,赵鸿,王鹤龄.叶片光合生理参数变化特征与小麦受旱状态的关系[J].干旱地区农业研究,2020,38(1):107-116.
作者姓名:赵福年  王润元  张凯  齐月  陈斐  赵鸿  王鹤龄
作者单位:中国气象局兰州干旱气象研究所,甘肃省干旱气候变化与减灾重点实验室,中国气象局干旱气候变化与减灾重点实验室,甘肃 兰州 730020
基金项目:甘肃省自然科学基金青年基金项目(145RJYA284);国家自然科学基金项目(41775107, 41505099);国家公益性行业(气象) 科研专项(GYHY201506001-2);甘肃省气象局气象科研项目(GSMAMs2018-14)
摘    要:以小麦为供试作物布设干旱过程试验,研究干旱过程中小麦叶片光合生理参数(包括净光合速率(Pn)、气孔导度(g_(ssat))、胞间CO_2与空气CO_2浓度比(Ci/Ca)、最大羧化速率(Vc_(max))以及最大电子传递速率(J_(max)))的变化特征,并探讨干旱不同阶段Pn与g_(ssat)的关系及其对气孔导度模型斜率的影响。结果表明:土壤有效含水量(ASWC)较大时(0.5),即水分供给充足条件下,小麦叶片光合生理参数随着ASWC的减少保持相对稳定;而当ASWC降至0.5时,g_(ssat)、Ci/Ca以及Pn减小,在ASWC0.3时,Pn与g_(ssat)及Ci/Ca的关系保持相对稳定;当ASWC0.3时,g_(ssat)随ASWC减小呈显著降低趋势,Vc_(max)和J_(max)也在此阶段随ASWC减小而线性降低,而Pn随g_(ssat)的减小降幅明显增大,拟合所获得的气孔导度模型斜率也随之发生改变;当ASWC0.1时,Ci/Ca随ASWC减小呈增大趋势,而Pn随ASWC减小而减小,在该阶段,Ci/Ca与Pn呈相反的变化趋势。根据叶片光合生理参数的变化特征,可将小麦受旱过程划分为4个阶段,即无干旱胁迫或干旱胁迫较轻的阶段、只有气孔因素影响光合生理过程的阶段、非气孔因素和气孔因素同时影响光合生理过程的阶段以及光合器官遭受损坏的阶段。

关 键 词:净光合速率  气孔导度  光合能力  春小麦    干旱  气孔导度模型

Relationship between drought severity and leaf photosynthetic physiological parameter variation of spring wheat
ZHAO Funian,WANG Runyuan,ZHANG Kai,Qi Yue,Chen Fei,ZHAO Hong,Wang Heling.Relationship between drought severity and leaf photosynthetic physiological parameter variation of spring wheat[J].Agricultural Research in the Arid Areas,2020,38(1):107-116.
Authors:ZHAO Funian  WANG Runyuan  ZHANG Kai  Qi Yue  Chen Fei  ZHAO Hong  Wang Heling
Institution:Lanzhou Institute of Arid Meteorology, China Meteorological Administration, Key Laboratory of Arid Climatic Change and Disaster Reduction of Gansu Province, Key Laboratory of Arid Climate Change and Disaster Reduction of CMA, Lanzhou, Gansu 730020, China
Abstract:Quantifying drought severity plays critical role in agricultural drought monitoring, crop modeling and irrigation scheduling. In this study, dry\|down experiments for spring wheat were carried out in plots and buckets. The responses of several photosynthetic parameters, including net photosynthesis (Pn), stomatal conductance (gssat), ratio of intercellular CO2 to atmospheric CO2 (Ci/Ca), maximum carboxylation rate of Rubisco (Vcmax) and maximum rate of electron transport (Jmax), to water supply condition were analyzed. Meanwhile, the relations between different photosynthetic parameters under different water conditions were also determined, especially the relationship between Pn and gssat and the impacts of drought on parameters for three typical semi\|empirical stomatal conductance models. The results showed that there were no significantly variation for the photosynthetic parameters until available soil water content (ASWC) was less than 0.5. The parameters gssat, Ci/Ca and Pn sequentially decreased as ASWC decreased from 0.5 to 0.3. The relation of Pn, gssat and Ci/Ca were stable while ASWC ranged from 0.5 to 0.3. The parameters gssat, Vcmax and Jmax decreased in linear form with ASWC when ASWC was less than 0.3. Meanwhile, the relationship between Pn and gssat changed in the range of ASWC from 0.5 to 0.3, hence the slope of semi\|empirical stomatal conductance model. However, when ASWC was smaller than 0.1, Ci/Ca increased with ASWC, and Pn decreased as Ci/Ca increased. Based on the responses of different photosynthetic parameters to water supply condition, four stages of drought development for spring wheat apparently existed. As ASWC was greater than 0.5 and gssat greater than 0.35 mol·m-2·s-1, there was not drought or drought was very slight. The gssat mainly limited Pn during ASWC ranged from 0.3 to 0.5 and gssat varied from 0.15 to 0.35 mol·m-2·s-1. However, non\|stomatal conductance started to impact Pn as ASWC changed from 0.1 to 0.3 (gssat ranged from 0.06 to 0.15 mol·m-2·s-1). As ASWC was less than 0.1, gssat was smaller than 0.06 mol·m-2·s-1 and the apparatus for photosynthesis might suffer injury.
Keywords:net photosynthesis  stomatal conductance  photosynthetic capacity  spring wheat  agricultural drought  stomatal conductance model
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