2013
DOI: 10.1021/jf4039088
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Assessment of the Effect of Silicon on Antioxidant Enzymes in Cotton Plants by Multivariate Analysis

Abstract: Silicon has been extensively researched in relation to the response of plants to biotic and abiotic stress, as an element triggering defense mechanisms which activate the antioxidant system. Furthermore, in some species, adding silicon to unstressed plants modifies the activity of certain antioxidant enzymes participating in detoxifying processes. Thus, in this study, we analyzed the activity of antioxidant enzymes in leaves and roots of unstressed cotton plants fertilized with silicon (Si). Cotton plants were… Show more

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Cited by 19 publications
(4 citation statements)
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References 46 publications
(88 reference statements)
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“…Despite many studies on Si in plants, it is still not understood how it acts on physiological and biochemical processes. The effects of silicon may involve cellular changes that stimulate alteration of biochemistry by determining oxidative stress as performed in this study, but also alterations in gene synthesis, protein structure and transport of molecules across the membranes (Moldes et al 2013).…”
Section: Discussionmentioning
confidence: 83%
“…Despite many studies on Si in plants, it is still not understood how it acts on physiological and biochemical processes. The effects of silicon may involve cellular changes that stimulate alteration of biochemistry by determining oxidative stress as performed in this study, but also alterations in gene synthesis, protein structure and transport of molecules across the membranes (Moldes et al 2013).…”
Section: Discussionmentioning
confidence: 83%
“…An assessment of the effect of Si on antioxidant enzymes in cotton showed that Si altered the activities of guaiacol peroxidase (GPOX), catalase (CAT), and ascorbate peroxidase (APX) in roots and leaves, whereas lipid peroxidase activity was not affected. These authors reported that enzymatic activities in the roots and leaves of plants were changed in parallel with silicon supplementation [ 46 ].…”
Section: Discussionmentioning
confidence: 99%
“…In this regard, multivariate statistical analysis is an important tool used to analyze the information that would be otherwise difficult to interpret. According to the collected data from this work, the multivariate analysis was the best statistical option to perform the analysis, as all the variables are interrelated with each other, and the information obtained is generated in groups and not individually (Alberto Moldes et al., 2013). In this context, the PC analysis revealed that the first two PCs are significant contributors to the total variation covering 79.6% of HT, LP, fiber quality, and meteorological data.…”
Section: Discussionmentioning
confidence: 99%