A regression model to predict seed filling in ruzi grass (Brachiaria ruziziensis)
2018
Antony, Edna | Deb, Dibeyendu | Sridhar, K. | Kumar, Vinod | Meena, Dharm Singh
Brachiaria ruziziensis (congo signal or ruzi grass) is an important fodder crop in India. Cultivation of ruzi grass through seed is restraint due to a higher component of chaffy seeds in a seed lot. A number of filled seeds in a lot are an important seed quality parameter in ruzi grass. Currently, X-ray radiography and manual estimation of filled seeds are means to identify filled seeds in a seed lot. X-ray radiography method is an expensive and manual estimation of a number of filled seeds is tedious and time-consuming. Hence, a regression model was developed to estimate the number of filled seeds in a seed lot based on the weight of 100 seeds. Various regression diagnostics like standard residual plot, Normal Q-Q plot, Scale-location plot and Leverage plots were used to validate the model. A third-degree polynomial with 100 seed weight as a predictor was found to be the best fit to predict the number of filled seeds in a seed lot.
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