It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Background
Rice (Oryza sativa L.) is a staple food for nearly half the global population, with rice grain quality (RGQ) and yield being the most valuable attributes for consumers and food security. RGQ encompasses multiple interconnected features including physical appearance, cooking properties, biochemical composition, nutritional components, and sensory aspects.
Methods
This study evaluated the agronomic performance of four commercial rice cultivars (Giza 178, Sakha 108, Sakha Super 300, and Egyptian Yasmin) during the 2022 and 2023 growing seasons. The experiment was conducted at the Rice Technology Training Center in Alexandria using a randomized complete block design with three replications. A cultivars were selected based on their commercial significance and diverse genetic backgrounds to represent the primary rice varieties grown in Egypt.
Results
Analysis of variance revealed significant genotypic effects (p < 0.001) for most traits, with notable genotype × environment interactions in milling quality and water uptake characteristics. Multivariate analyses, including Principal Component Analysis (PCA), hierarchical clustering, and correlation analysis, provided complementary evidence for cultivar differentiation. PCA demonstrated that 94.2% of total variance was explained by two principal components, with Yasmin distinctly clustering in the positive quadrant of Dim1, showing superior performance in nutritional and cooking parameters (protein: 8.51%, fiber: 0.33%, water uptake: 439.45%, elongation: 60.73%). Hierarchical cluster analysis revealed two distinct trait groupings: physical-processing parameters and nutritional-functional attributes. Cultivar Super 300 demonstrated superior performance in physical-processing metrics (milling yield: 71.69%, grain hardness: 6.56), while Yasmin exhibited exceptional nutritional-functional characteristics. Furthermore, correlation analysis revealed significant relationships among quality parameters (p < 0.001), particularly between physical characteristics and milling traits (r = 0.99), and among nutritional components (r = 0.87–0.99).
Conclusion
The integrated multivariate approach identified Yasmin as the superior cultivar for nutritional and cooking qualities, while Super 300 excelled in physical parameters, providing comprehensive insights for developing cultivars with optimized quality profiles tailored to specific market demands and consumer preferences.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer