Three photosynthetic patterns characterized by cluster analysis of gas exchange data in two rice populations

Crop Journal

Xuefang Sun¹  Baoyuan Zhou¹  Xianguo Zhu¹  Ming Zhao¹  Zaisong Ding¹  Tao Li¹  Suhua Huang¹ 

[1] Institute of Crop Science, Chinese Academy of Agricultural Sciences, Key Laboratory of Crop Physiology and Production, Ministry of Agriculture, Beijing 100081, China;

关键词: Cluster analysis;    Net photosynthesis rate;    Stomatal pattern;    Carboxylation pattern;    Rice;   

DOI  :  doi:10.1016/j.cj.2013.12.003

来源: DOAJ

【 摘 要 】

Plant photosynthetic rate is affected by stomatal status and internal CO2 carboxylation. Understanding which process determines photosynthetic rate is essential for developing strategies for breeding crops with high photosynthetic efficiency. In this study, we identified different physiological patterns of photosynthetic rate in two different rice populations. Photosynthetic gas exchange parameters were measured during the flowering stage in two rice populations. Clustering and correlation analyses were performed on the resulting data. Five or six groups were defined by K-means clustering according to differences in net photosynthetic rates (Pn). According to differences in stomatal conductance (gs) and carboxylation efficiency (CE), each group was clustered into three subgroups characterized by physiological patterns stomatal pattern, carboxylation pattern, and intermediate pattern. Pn was significantly correlated with gs (r = 0.810) and CE (r = 0.531). Pn was also significantly correlated with gs and CE in the three physiological patterns. The correlation coefficients were highest in the stomatal pattern (0.905 and 0.957) and lowest in the carboxylation pattern (0.825 and 0.859). Higher correlation coefficients between Pn and gs or CE in the three physiological patterns indicate that clustering is very important for understanding factors limiting rice photosynthesis.

【 授权许可】

Unknown