Probit regression to estimate the physiological potential of hybrid maize seed

Sebastião Gazola, Carlos Alberto Scapim, Alessandro de Lucca e Braccini, Ângela Maria Marcone de Araujo, Antonio Teixeira do Amaral Júnior, Marcelo Vivas
2015 Journal of Seed Science  
This work was carried out to study the physiological potential of artificially aged seed lots of maize. The specific aim of this study was to fit a simplified equation from Andreoli, , and present a methodology using probit regression analysis, given by the equation . We used seeds from three lots of the maize hybrid OC 705 which were submitted to the accelerated aging test, at the temperature of 43 ºC, every 24 hours. The simplified equation did not provide a good fit to the data, with r2 of
more » ... data, with r2 of at most 92%. Pearson's Chi-square test and the log-likelihood ratio Chi-square test indicated that probit regression had a good fit to the data, providing estimated values with high accuracy. It was observed that lot three maintained the highest vigor throughout the storage period.
doi:10.1590/2317-1545v37n1140984 fatcat:b6am3fdj5ze6fbnn7bg6r3xdae