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不同山葡萄品种CO2响应模型拟合及评价

潘越 王宝庆 王季姣 马勇 李亚兰

中国农业科技导报2024,Vol.26Issue(4):58-66,9.
中国农业科技导报2024,Vol.26Issue(4):58-66,9.DOI:10.13304/j.nykjdb.2022.0915

不同山葡萄品种CO2响应模型拟合及评价

CO2 Response Model Fitting and Evaluation of Vitis amurensis

潘越 1王宝庆 2王季姣 3马勇 3李亚兰4

作者信息

  • 1. 新疆林业科学院园林绿化研究所,乌鲁木齐 830000
  • 2. 新疆阿克苏森林生态系统国家定位观测研究站,新疆 阿克苏 843100
  • 3. 新疆阿克苏森林生态系统国家定位观测研究站,新疆 阿克苏 843100||新疆林业科学院佳木国家重点林木良种基地,新疆 阿克苏 843100||新疆农业大学林学与风景园林学院,乌鲁木齐 830052
  • 4. 新疆农业大学林学与风景园林学院,乌鲁木齐 830052
  • 折叠

摘要

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(Ci),stomatal conductance(Gs),water utilization rate(WUE),transpiration rate(Tr)were determined including using Li-6400 portable photosynthesis system.The photosynthetic CO2 response curve(Pn-Ci)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(Ca),Ci of 4 varieties showed a linear increasing trend,Gs and Tr 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 Ca environment,and conversion rate of light energy was the highest.'Shuanghong'was second,which could maintain high photosynthetic efficiency at different concentrations of Ca.In conclusion,the modified rectangular hyperbola models was the best on fitted the Pn-Ci response curve of Vitis amurensis Rupr.

关键词

山葡萄/CO2响应模型/隶属函数/主成分分析

Key words

Vitis amurensis Rupr./CO2 response model/subordinate function/principal component analysis(PCA)

分类

农业科技

引用本文复制引用

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):58-66,9.

基金项目

新疆维吾尔自治区重点研发计划项目(2020B02045-2-3). (2020B02045-2-3)

中国农业科技导报

OA北大核心CSTPCD

1008-0864

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