Establishing a Quadratic Regression Model of the Growth Characteristics and Isoorientin Contents of Wheatgrass Seedlings in Response to Different Temperature Conditions

In this study, we aimed to optimize the growth conditions of wheatgrass (Triticum aestivum L. cv. ‘Keumkang’), a sprout vegetable known for its enhanced nutritional and bioactive properties, including significant increases in antioxidants and amino acids. Using a quadratic regression model, we investigated the effects of different temperatures on wheatgrass growth characteristics and on the content of isoorientin, a potent flavonoid that contributes to health benefits. Wheat seeds were germinated and cultivated under controlled temperatures between 18–32°C, with growth parameters (plant height, leaf area, shoot fresh weight, and root fresh weight) and isoorientin contents analyzed post-harvest. We observed that a temperature of approximately 25°C was most suitable and significantly enhanced the plant height, shoot fresh and dry weights, and the isoorientin content, underscoring the critical role of the temperature in maximizing the nutritional value of wheatgrass. Root growth showed minimal responses to the temperature variations, suggesting a complex interaction between growth parameters and environmental conditions. This analysis advances our understanding of wheatgrass cultivation, providing actionable insights for maximizing its nutritional and medicinal properties through proper temperature management. The findings here are pivotal for agricultural practices aiming to enhance the quality of sprout vegetables, significantly contributing to the field of functional foods and nutraceuticals.