Publications by authors named "Ravinder S Sidhu"

Compositional analysis is an important tool in the evaluation of the safety and nutritional status of biotechnology-derived crops. As part of the comparative assessment of a biotechnology-derived crop, its composition is evaluated by quantitative measurement of the levels of key nutrients, antinutrients, and secondary metabolites and compared to that of conventional crops. To evaluate the effect of combining multiple biotech traits through conventional breeding, the forage and grain compositions of the double combinations MON 810 × NK603, MON 863 × MON 810, and MON 863 × NK603 and the triple combination MON 863 × NK603 × MON 810 were compared to their respective near-isogenic, conventional control hybrids.

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The next generation of biotechnology-derived products with the combined benefit of herbicide tolerance and insect protection (MON 88017) was developed to withstand feeding damage caused by the coleopteran pest corn rootworm and over-the-top applications of glyphosate, the active ingredient in Roundup herbicides. As a part of a larger safety and characterization assessment, MON 88017 was grown under field conditions at geographically diverse locations within the United States and Argentina during the 2002 and 2003-2004 field seasons, respectively, along with a near-isogenic control and other conventional corn hybrids for compositional assessment. Field trials were conducted using a randomized complete block design with three replication blocks at each site.

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The composition of glyphosate-tolerant (Roundup Ready) corn event NK603 was compared with that of conventional corn grown in the United States in 1998 and in the European Union in 1999 to assess compositional equivalence. Grain and forage samples were collected from both replicated and nonreplicated field trials, and compositional analyses were performed to measure proximates, fiber, amino acids, fatty acids, vitamin E, nine minerals, phytic acid, trypsin inhibitor, and secondary metabolites in grain as well as proximates and fiber in forage. Statistical analysis of the data was conducted to assess statistical significance at the p < 0.

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