Friday, May 23, 2014

Pesticide/GMO/Deception Pulling at Straws

Pesticides-"inhibit cellular metabolism including energy, protein, and nucleic acid metabolism, thereby, causing cell regression and death. "
1st of all; they are using their own statistical analysis to set the model.
2nd- They say they could not detect a difference, so obviously the spectrum analysis is defective in finding differences..
3rd- Metabolites WTF made up new words for their mission of deception- What is that some new superfood?
4th- The title of the article is deceptive...Use of layman terms and then the article is full of stuff most people don't understand. Like "Metabolites"...
5th- Whatever they found it was not correct to say they found no difference...They found a difference in 33.33% ...
6th this proves nothing only a way to teach others a new method of the deception.
7th and the real problem to me...Pesticides are what GMOs are and is not addressed or mentioned.

While the greatest strength of systems biology may be to measure tens of thousands of variables across different genotypes, this simultaneously presents an enormous challenge to statistical analysis that cannot be completely solved with conventional approaches that identify and rank differences. Here we examine a diverse panel of conventional and transgenic, field-grown tomato fruits (Solanum lycopersicum L.) by liquid chromatography–mass spectrometry (LC-MS) metabolic fingerprinting. We used a progression of statistics to examine phenotypic variation observed.

While clear trends were found by principal component analysis (PCA) related to genetic background and ripeness, it could not detect differences between transgenic genotypes and their nontransgenic parent variety. Partial least squares discriminant analysis (PLS-DA), a supervised method,

"identified 15 metabolic features of potential interest, but only five were significantly different between the transgenic lines and their nontransgenic parent."

Weighted correlation network analysis (WGCNA) recognized relationships among these features and others, suggesting that a small suite of highly correlated compounds accumulated to significantly lower levels in the transgenic genotypes. We assert that metabolic fingerprinting with a series of statistical methods is an efficient and powerful approach to examine both large and small genetic effects on phenotypes of high value or interest."

"Proving GM food is OK to eat"
Published: Apr 7, 2014
Author: Steve Down
Channels: Proteomics / Chemometrics & Informatics / Raman / NMR Knowledge Base / Base Peak / X-ray Spectrometry / Infrared Spectroscopy / UV/Vis Spectroscopy / Atomic / MRI Spectroscopy

"While the agricultural industry continues to develop new plant breeds with better resistance to drought, flood, weeds or pests, public doubts remain regarding the safety of genetically modified crops and foods derived from them. Despite all claims to the contrary, no convincing ways have been found yet to persuade a large proportion of consumers that there is nothing dangerous about eating GM food."

My blog clearly proves GMOs and pesticides are killing Humanity...and causing a complete extinction of every species of Life on our Earth.
And now all the iRNA... 

Photo: via
Photo: Bhutan soon may be the first nation to go 100% organic, hopefully paving the way for others to do the same on a global scale.

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