Evaluation of daily germination in two rice cultivars using linear regression
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Abstract
Among the types of plant seed priming, hydropriming stands out with proven benefits in germination properties and is essential for standardizing germination in rice.The objective was to evaluate the daily dynamics of hydroconditioned germinated seeds of rice cultivars INCA P-5 and IACuba-41 (Oryza sativa L.) using a simple linear regression model. In January 2024, in Río Cauto, Granma, Cuba, the experiment was conducted with 200 rice seeds (100 per cultivar: INCA LP-5 and IACuba-41). The seeds, selected without defects and with moisture adjusted to 9-10%, were imbibed for 72 hours with irrigation water, dried for 48 hours in the shade, and sown in trays with local Vertisol soil. The number of germinated seeds was evaluated daily for 14 days. A simple linear regression model was applied (days as independent variable, germination as dependent) using ordinary least squares, with the slope (a), intercept (b) and their bootstrap confidence intervals with 1,999 repetitions and 95,0 percentile. Heteroscedasticity, autocorrelation of residuals, predicted values and their standard errors were also determined. The results confirm that the germinated seeds per day in both cultivars do not fit a linear regression model with asymmetric stages of dormancy breaking, germination peak and subsequent decline, with a slight lower dispersion or a more concentrated germination of the INCA LP-5 cultivar compared to IACuba-41
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