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Distinguish Effect of Cu, Zn and Cd on Wheat’s Growth Using Nondestructive and Rapid Minolta SPAD-502

Abstract : This paper focused on the SPAD values response to different treatment levels of heavy metal Cu, Zn and Cd stress on growth of wheat. Random blocks design experiment has been carried out to simulate five concentration levels’ heavy metal Cu, Zn and Cd respectively. The in-situ SPAD values were measured for each treatment on December 8th 2014 (seedling stage), December 13th 2014 (tillering stage), January 8th 2015 (tillering stage), April 18th 2015 (elongation stage), April 30th 2015 (booting stage), May 12th 2015 (heading stage) and June 3rd 2015 (filling stage) respectively using Minolta SPAD-502. The standard deviation of SPAD in different between check plot (CK) and level i, Normalized SPAD values and their variation coefficients among five heavy metal treatments for Cd, Zn and Cu have been analyzed at different measurement time. SPAD values of CK treatment decreased slightly from seedling stage to tillering stage, followed by rapid increase to elongation stage, keeping a shoulder to heading stage, then rapid decrease to filling stage. With the increase of heavy metal treatment levels, standard deviations of SPAD values between CK and level i increased gradually, and the minimum of standard deviation appeared at booting and heading stage. The Normalized SPAD had been calculated by the SPAD ratio of heavy level i to CK. The higher Normalized SPAD, the lower Normalized SPAD value with the minimum at booting and heading stage. Variance coefficients of Normalized SPAD of Cd treatments at seedling stage and tillering stages lower than Zn and Cu treatments. Normalized SPAD among Cd, Cu and Zn treatments had lowest and similar variance at booting stage and heading stages.
Keywords : Cu Zn Cd SPAD-502 Wheat
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Jinheng Zhang, Yonghong Sun, Lusheng Zeng, Hui Wang, Qingzeng Guo, et al.. Distinguish Effect of Cu, Zn and Cd on Wheat’s Growth Using Nondestructive and Rapid Minolta SPAD-502. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.231-238, ⟨1010.1007/978-3-319-48357-3_22⟩. ⟨hal-01557828⟩

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