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Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions 被引量:2
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作者 zhao fu-nian ZHOU Shuang-xi +3 位作者 WANG Run-yuan ZHANG Kai WANG He-ling YU Qiang 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2020年第9期2188-2205,共18页
The maximum carboxylation rate of Rubisco(Vcmax)and maximum rate of electron transport(Jmax)for the biochemical photosynthetic model,and the slope(m)of the Ball-Berry stomatal conductance model influence gas exchange ... The maximum carboxylation rate of Rubisco(Vcmax)and maximum rate of electron transport(Jmax)for the biochemical photosynthetic model,and the slope(m)of the Ball-Berry stomatal conductance model influence gas exchange estimates between plants and the atmosphere.However,there is limited data on the variation of these three parameters for annual crops under different environmental conditions.Gas exchange measurements of light and CO2 response curves on leaves of winter wheat and spring wheat were conducted during the wheat growing season under different environmental conditions.There were no significant differences for Vcmax,Jmax or m between the two wheat types.The seasonal variation of Vcmax,Jmax and m for spring wheat was not pronounced,except a rapid decrease for Vcmax and Jmax at the end of growing season.Vcmax and Jmax show no significant changes during soil drying until light saturated stomatal conductance(gssat)was smaller than 0.15 mol m^–2 s^–1.Meanwhile,there was a significant difference in m during two different water supply conditions separated by gssat at 0.15 mol m^–2 s^–1.Furthermore,the misestimation of Vcmax and Jmax had great impacts on the net photosynthesis rate simulation,whereas,the underestimation of m resulted in underestimated stomatal conductance and transpiration rate and an overestimation of water use efficiency.Our work demonstrates that the impact of severe environmental conditions and specific growing stages on the variation of key model parameters should be taken into account for simulating gas exchange between plants and the atmosphere.Meanwhile,modification of m and Vcmax(and Jmax)successively based on water stress severity might be adopted to simulate gas exchange between plants and the atmosphere under drought. 展开更多
关键词 biochemical photosynthetic model stomatal conductance model maximum carboxylation rate of Rubisco maximum rate of electron transport drought
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CO_2浓度增加对半干旱区春小麦生产和水分利用效率的影响 被引量:6
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作者 张凯 王润元 +5 位作者 李巧珍 王鹤龄 赵鸿 阳伏林 赵福年 齐月 《应用生态学报》 CAS CSCD 北大核心 2018年第9期2959-2969,共11页
为了解CO_2浓度升高条件下春小麦生产和水分利用效率(WUE)的响应特征,在典型半干旱区定西,利用开顶式气室(OTC)试验平台开展了CO_2浓度增加模拟试验.试验设对照(390μmol·mol^(-1))、480μmol·mol^(-1)和570μmol·mol^(-... 为了解CO_2浓度升高条件下春小麦生产和水分利用效率(WUE)的响应特征,在典型半干旱区定西,利用开顶式气室(OTC)试验平台开展了CO_2浓度增加模拟试验.试验设对照(390μmol·mol^(-1))、480μmol·mol^(-1)和570μmol·mol^(-1)3个CO_2浓度.结果表明:CO_2浓度升高使春小麦冠层空气温度小幅上升,10 cm深处的土壤环境温度下降;CO_2浓度增加对春小麦各器官生物量和总生物量都有明显促进作用,在480和570μmol·mol^(-1)浓度下,地上干物质量平均增长20.6%和41.5%,总干物质量平均增长19.3%和39.6%.生物量增加主要是由茎叶干物质量增加所致,与生育中期物质生产能力明显增强有关;在两种CO_2浓度处理下,植株根冠比分别降低7.3%和11.8%,CO_2浓度增加对春小麦地上部分干物质积累的贡献大于地下部分;CO_2浓度升高主要通过影响穗粒数来影响最终产量,在480和570μmol·mol^(-1)浓度下,小麦产量分别增加了8.9%和19.9%;大气CO_2浓度升高对春小麦光合作用影响的长期效应不明显,随CO_2浓度升高,光合速率显著提高,蒸腾速率降低,蒸发蒸腾量减小.随CO_2浓度升高,叶片、群体和产量3个水平的WUE都增加,其中群体水平的WUE增幅最大,产量水平的WUE增幅最小. 展开更多
关键词 CO2浓度增加 春小麦 生产 水分利用效率 半干旱区
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