The Use of the Generalized Linear Model to Assess the Speed and Uniformity of Germination of Corn and Soybean Seeds

The use of seeds with high physiological quality allows rapid growth and establishment seedlings in the field to be obtained. Therefore, accuracy information obtained during determination is great importance. objective was generalized linear models, investigating which link function (Probit, Logit Complementary log-log) suitable predict T50 uniformity germination soybean corn seeds. To perform experiments, we used from five commercial hybrids and/or cultivars soybean. speed calculated by counting germinated results were expressed form proportions. Germination difference times required for germination. best model selected according criteria test Deviance, AIC BIC. showed accurate most cultivars. evaluation proportions considering assumption binomial response satisfactory, choice dependent on characteristics each lot species evaluated. this methodology makes it possible estimate any time uniformity.