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6 March 2009 A novel method of identification of high-yield crop cultivars using correlation between delayed fluorescence and photosynthesis capacity
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Abstract
Crop breeding and variety analysis play the important role in the national economy. A lot of sample data and typical probability distribution are needed in the conventional methods to evaluate the high-yield crop cultivars such as correlation analysis, regression analysis and grey relational grade analysis etc, which are difficult to be realized. Delayed fluorescence (DF) can be used to evaluate plant photosynthesis. The current investigation has revealed that there is a good linear correlation between DF and photosynthesis capacity. More importantly, the slopes of linear fit of the correlationship for different yield varieties are different. Four known yield crop cultivars from each of the two different species (Maize and Soybean) are selected as samples to be analyzed. The statistical results show that the slope of high-yield variety is smaller than that of low-yield. We thus conclude that the slope of linear fit of correlation between DF and photosynthesis capacity is an excellent marker for high-yield crop cultivars identification. Compared with the conventional methods, the presented method needs less samples and it's fast and easy to be measured.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Junsheng Wang, Wenhai Xu, Ying Li, and Lingrui Zhang "A novel method of identification of high-yield crop cultivars using correlation between delayed fluorescence and photosynthesis capacity", Proc. SPIE 7280, Seventh International Conference on Photonics and Imaging in Biology and Medicine, 72802A (6 March 2009); https://doi.org/10.1117/12.821544
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