Compositional Equivalence of Grain from Multi-trait Drought-Tolerant Maize Hybrids to a Conventional Comparator: Univariate and Multivariate Assessments

• Published in: Journal of agricultural and food chemistry 2014-10, Vol.62 (39), p.9597-9608
• Main Authors: Xu, Yun, Goodacre, Royston, Harrigan, George G
• Format: Article
• Language: English
• Subjects: amino acids; Amino Acids - analysis; Analysis of Variance; Bacillus subtilis; cold shock proteins; corn; drought tolerance; Droughts; fatty acids; Fatty Acids - analysis; ferulic acid; genes; growing season; herbicide resistance; Herbicides - pharmacology; hybrids; insects; minerals; p-coumaric acid; phytic acid; Plants, Genetically Modified - chemistry; Plants, Genetically Modified - drug effects; Plants, Genetically Modified - genetics; Plants, Genetically Modified - physiology; principal component analysis; raffinose; vitamins; Vitamins - analysis; water treatment; Zea mays - chemistry; Zea mays - drug effects; Zea mays - genetics; Zea mays - physiology
• ISSN: 0021-8561; 1520-5118
• DOI: 10.1021/jf5019609

MON 87460 (D1) maize contains a gene that expresses the cold shock protein B (CSPB) from Bacillus subtilis to confer a yield advantage when yield is limited by water availability. This study evaluated the composition of grain from the D1-containing combined-trait maize hybrids D1 × NK603, D1 × MON 89034 × NK603, and D1 × MON 89034 × MON 88017. These stacks offer a combination of insect protection and herbicide tolerance traits. These hybrids were grown under well-watered and water-limited conditions at three replicated field sites across Chile during the 2006–2007 growing season. Compositional analyses included measurement of proximates, fibers, total amino acids, fatty acids, minerals, vitamins, raffinose, phytic acid, p-coumaric acid, and ferulic acid. The statistical analyses included an evaluation of the applicability of multiblock principal component analysis (MB-PCA) and ANOVA–simultaneous component analysis (ASCA) to studies when more than one experimental factor will contribute to compositional variability. Results from these multivariate procedures highlighted that water treatment was the greatest contributor to compositional variability and, as expected, confirmed that the grain of combined-trait drought-tolerant hybrids was compositionally equivalent to that of conventional comparators as established by traditional statistical significance testing.