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Emergence speed comparison by non-linear regression and approached by time-to-event models for censored data

Published online by Cambridge University Press:  31 January 2022

Thomas B. Michelon Open the ORCID record for Thomas B. Michelon [Opens in a new window] ,
Andreza C. Belniaki Open the ORCID record for Andreza C. Belniaki [Opens in a new window] ,
Cesar A. Taconeli Open the ORCID record for Cesar A. Taconeli [Opens in a new window] ,
Elisa S. N. Vieira Open the ORCID record for Elisa S. N. Vieira [Opens in a new window]  and
Maristela Panobianco Open the ORCID record for Maristela Panobianco [Opens in a new window]
Thomas B. Michelon*
Affiliation:
Department of Plant Science, Federal University of Paraná – R, dos Funcionários, 1540, Curitiba, PR CEP 80035-050, Brazil
Andreza C. Belniaki
Affiliation:
Department of Plant Science, Federal University of Paraná – R, dos Funcionários, 1540, Curitiba, PR CEP 80035-050, Brazil
Cesar A. Taconeli
Affiliation:
Departament of Statistics, Federal University of Paraná – R, Evaristo F, Ferreira da Costa, 408, Curitiba, PR CEP 81530-015, Brazil
Elisa S. N. Vieira
Affiliation:
Embrapa Forestry, Estrada da Ribeira, km 111, Colombo, PR CEP 83411-000, Brazil
Maristela Panobianco
Affiliation:
Department of Plant Science, Federal University of Paraná – R, dos Funcionários, 1540, Curitiba, PR CEP 80035-050, Brazil
*
Author for Correspondence: Thomas B. Michelon, E-mail: [email protected]
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Abstract

Determining the germination speed is essential in experiments in the field of seed technology, as it allows the performance evaluation of a seed lot and the creation of predictive models. To this end, the literature addresses several methods and indexes. The objective of this study was to compare the main methods of emergence speed analysis in seeds, namely the non-linear regression models and the Emergence Speed Index (ESI), with the time-to-event models. The research was conducted with peach palm seeds (Bactris gasipaes) that were measured for viability and vigour through daily evaluations for 4 months. Vigour was evaluated by the quantification of the seed emergence speed, which was performed in three ways: ESI, non-linear regression and non-linear regression considering germination as a time-to-event event. From the results obtained, we conclude that the ESI is not a good indicator to evaluate the emergence speed; the non-linear regression model underestimates the errors and, thus, increases the probability of misclassifying treatments; the time-to-event model is more reliable in classifying treatments according to the emergence speed.

Keywords

Bactris gasipaescensoringforestrygermination speed indexMaguire's indexnon-linear regressionstorage
Type
Research Paper
Information
Seed Science Research , Volume 31 , Issue 4 , December 2021 , pp. 319 - 325
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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