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

Abstract

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

POMONA: a multiplatform software for modeling seed physiology

“…Recent discussions of seed scientists have been provided regarding the robustness of models associated with the Normal distribution in relation to generalized linear models (GLMs, see Carvalho et al., 2018 ; Ribeiro-Oliveira et al., 2018 ). This perspective pointed out that GLMs are robust due to a more flexible model fit, and non-dependent of Normal distribution ( Mcnair et al., 2012 ; dos Santos et al., 2019 ; de Faria et al., 2020 ; Amorim et al., 2021 ). Therefore, logistic models with different link functions were considered a new tool to measure the viability (t 50 ) and longevity (P 50 ) of commercial seed lots of cultivated species, such as corn and soybean ( dos Santos et al., 2019 ; de Faria et al., 2020 ).…”

“…Recent discussions of seed scientists have been provided regarding the robustness of models associated with the Normal distribution in relation to generalized linear models (GLMs, see Carvalho et al, 2018;. This perspective pointed out that GLMs are robust due to a more flexible model fit, and non-dependent of Normal distribution (Mcnair et al, 2012;dos Santos et al, 2019;de Faria et al, 2020;Amorim et al, 2021).…”

PHYLLOCHRON VARIABILITY AND CUTTING MANAGEMENT PRACTICES ON THE AGRONOMIC POTENTIAL OF SORGHUM (Sorghum bicolor (L.) Moench)

“…Additionally, the productive potential, resistance to diseases, insects, adverse environmental factors, product quality, response to inputs, and precocity are characteristics that influence the agronomic value of the cultivar, and this, in turn, can be interfered with by the low quality of seeds (TOSTA et al, 2021). Even within a certified batch, there are seeds with different physiological qualities, the difference between the seeds is accentuated in batches of lower quality, as they are usually saved, due to the significant variability between the seeds, they will express less uniformity and speed in the field of emergency (AMORIM et al, 2021).…”

Fenotipagem de genótipos de feijão (Phaseolus vulgaris L.) e mecanismos de tolerância ao déficit hídrico na fase de germinação

“…Em relação ao T50, sua maior correlação observada na PCA para os genótipos do grupo 2 revela germinação mais lenta e pode indicar menor desempenho das sementes em campo. Segundo Amorim et al (2021), o T50 é muito utilizado para explorar o vigor de diferentes lotes de sementes, sendo os menores valores de T50 indicativo de lotes mais vigorosos.…”