ArticleBMC plant biology2025
Comprehensive quality profiling and multivariate analysis of rice (Oryza sativa L.) cultivars: integrating physical, cooking, nutritional, and micronutrient characteristics for enhanced varietal selection.
Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Multivariate analysis of 110 green super rice (GSR) lines for morpho-physiological diversity attributes.BMC plant biology · 2026Article
- A Multi-Gene Matrix for Precision Breeding of Rice Grain Quality.Plants (Basel, Switzerland) · 2026Article
- Geometric image-based phenotyping and physiological analysis for validation of rice salinity tolerance screening under artificial pot conditions.BMC plant biology · 2026Article
- Tissue-specific metabolomic profiling reveals cultivar-dependent drought tolerance mechanisms in rice (Oryza sativa L.).BMC plant biology · 2026Article
- Impact of cultivars, nitrogen rates, and sugar beet processing by-product on wheat growth and yield.BMC plant biology · 2025Article
- Integration of gamma irradiation breeding from doubled haploid and systematic screening to develop adapted rice mutants under salinity stress.BMC plant biology · 2025Article
- Enhancing the Antioxidant and Nutritional Profile of Gluten-Free Sourdough Bread Using Hemp Press Cake Meal.Foods (Basel, Switzerland) · 2025Article
- Occurrence, Biosynthesis, and Health Benefits of Anthocyanins in Rice and Barley.International journal of molecular sciences · 2025Review
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9 authors.
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Abstract
backgroundRice (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.
methodsThis 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.
resultsAnalysis 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).
conclusionThe 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.
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