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GM Crops & Food
Biotechnology in Agriculture and the Food Chain
Volume 12, 2021 - Issue 1
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Research Paper

Compositional equivalence assessment of insect-resistant genetically modified rice using multiple statistical analyses

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Pages 303-314 | Received 09 Oct 2020, Accepted 17 Feb 2021, Published online: 01 Mar 2021

Figures & data

Figure 1. The value of percentage variability for each individual nutritional component in rice grains

Figure 1. The value of percentage variability for each individual nutritional component in rice grains

Table 1. Analysis of similarities (ANOSIM) results between two effect factors in rice composition

Table 2. Results of the PERMANOVA analysis for the nutrition categories of rice grains, using plant cultivation year, cultivation site, genotype, and their interaction as the source of variation

Figure 2. Average dissimilarity in the composition of proximates (a), amino acids (b), lipid acids (c), minerals (d), vitamins (e), and antinutrients (f) among cultivation factors and among genotype factors by SIMPER analysis

Figure 2. Average dissimilarity in the composition of proximates (a), amino acids (b), lipid acids (c), minerals (d), vitamins (e), and antinutrients (f) among cultivation factors and among genotype factors by SIMPER analysis

Figure 3. Results of SIMPER comparison among cultivation factors and among genotype factors for all rice components. SIMPER analysis was operated using a two-way crossed layout, opting for the Bray-Curtis dissimilarity matrix, and setting the cutoff at 80%. Abbreviation: Carbo, carbohydrate; Trypsin IH, Trypsin inhibitor

Figure 3. Results of SIMPER comparison among cultivation factors and among genotype factors for all rice components. SIMPER analysis was operated using a two-way crossed layout, opting for the Bray-Curtis dissimilarity matrix, and setting the cutoff at 80%. Abbreviation: Carbo, carbohydrate; Trypsin IH, Trypsin inhibitor
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