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14个香椿种源光合特性的比较研究
引用本文:周祥斌,周玮,邓丽婷,陈晓阳.14个香椿种源光合特性的比较研究[J].华南农业大学学报,2016,37(4):51-56.
作者姓名:周祥斌  周玮  邓丽婷  陈晓阳
作者单位:1. 广东省连山林场,广东 清远513200; 华南农业大学 林学与风景园林学院/广东省森林植物种质资源创新与利用重点实验室,广东 广州510642;2. 华南农业大学 林学与风景园林学院/广东省森林植物种质资源创新与利用重点实验室,广东 广州,510642
基金项目:广东省林业科技创新专项(2011KJCX002, 2012KJCX002, 2013KJCX002)
摘    要:【目的】揭示我国特有的速生优质用材树种香椿Toona sinensis种源间光合特性的差异,为优良种源的选择提供依据。【方法】对11省14县(市、区)的1年生香椿种源苗木5个瞬时光合生理指标进行Li-6400测定和分析。【结果】净光合速率(Pn)、气孔导度(Gs)、胞间CO_2浓度(Ci)、蒸腾速率(Tr)、水分利用效率(WUE)5个指标在种源间存在极显著差异。其中,Gs变异系数最大,Ci变异系数最小,分别为27.52%、4.24%。各指标的重复力以Pn最高,WUE最低,分别为96.08%、78.52%。Pn与Gs、Tr、苗高呈极显著正相关(P0.01),与地径呈显著正相关(P0.05);Gs与Ci、Tr、苗高呈极显著正相关(P0.01),Ci与Tr呈显著正相关(P0.05),Tr与苗高呈极显著正相关(P0.01),与地径呈显著正相关(P0.05)。广西兴安、广西那坡、四川蓬安种源的Pn较大,广西兴安、广东乐昌种源的WUE较大。【结论】对5个指标进行主成分分析,得到2个主成分,可以把14个香椿种源分为3类:光合参数中蒸腾速率最小;光合速率和水分利用效率都较高;光合作用较强和水分利用效率较低。

关 键 词:香椿  光合特性  种源  苗木  相关分析  主成分分析
收稿时间:2015/12/9 0:00:00

Comparison of photosynthetic characteristics among 14 Toona sinensis provenances
ZHOU Xiangbin,ZHOU Wei,DENG Liting and CHEN Xiaoyang.Comparison of photosynthetic characteristics among 14 Toona sinensis provenances[J].Journal of South China Agricultural University,2016,37(4):51-56.
Authors:ZHOU Xiangbin  ZHOU Wei  DENG Liting and CHEN Xiaoyang
Institution:1 Guangdong Lianshan Forestry Farm,2 College of Forestry Science and Landscape Architecture, South China Agricultural University/ Guangdong Key Laboratory for Innovative Development and Germplasm Utilization of Forest Plant,,2 College of Forestry Science and Landscape Architecture, South China Agricultural University/ Guangdong Key Laboratory for Innovative Development and Germplasm Utilization of Forest Plant,,2 College of Forestry Science and Landscape Architecture, South China Agricultural University/ Guangdong Key Laboratory for Innovative Development and Germplasm Utilization of Forest Plant, and 2 College of Forestry Science and Landscape Architecture, South China Agricultural University/ Guangdong Key Laboratory for Innovative Development and Germplasm Utilization of Forest Plant,
Abstract:Objective] Toona sinensis is a China endemic timber species of high quality and fast growth. This study was aimed at investigating differences in photosynthetic characteristics among different T. sinensis provenances, and providing a theoretical basis for selection of superior provenances.Method]Five photosynthetic indices of one-year-old seedlings of T. sinensis provenances collected from 14 counties in 11 provinces were measured with Li-6400 and analyzed. Result]There were highly significant differ-ences among different provenances in five photosynthetic indices including net photosynthetic rate ( Pn) , stomatal conductance ( Gs) , intercellular CO2 concentration ( Ci) , transpiration rate ( Tr) and water use efficiency (WUE). The variation coefficient of Gs was the highest (27. 52%), and that of Ci was the lowest (4. 24%) . The repeatability of Pn was the highest (96. 08%) , and that of WUE was the lowest (78. 52%) . Pn was highly significantly positively correlated with Gs, Tr and seedling height ( P <0. 01 ) , and significantly positively correlated with ground diameter ( P<0. 05 ) . Gs was highly signifi-cantly positively correlated with Ci, Tr and seedling height ( P<0. 01 ) . Ci was significantly positively correlated with Tr ( P<0. 05 ) . Tr was highly significantly positively correlated with seedling height ( P<0. 01 ) and significantly positively correlated with ground diameter ( P <0. 05 ) . Provenances collected from Xing’an and Napo of Guangxi Province, and Peng’an of Sichuan Province had relatively high Pn compared to those from other counties, and provenances from Xing’an of Guangxi Province and Lechang of Guangdong Province had relatively high WUE.Conclusion]Two principal components were obtained from five tested indices using the principal component analysis. Fourteen T. sinensis provenances can be divided into three groups including the group with the lowest Tr, the group with relatively high Pn and WUE, and the group with relatively strong photosynthesis and low WUE.
Keywords:Toona sinensis  photosynthetic characteristic  provenance  seedling  correlation analysis  principal component analysis
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