Abstract
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.
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Claims 3
Claim · model-written summary
The Emergence Speed Index was judged a poor indicator of peach palm seed emergence speed.
- Taxon
- peach palm
_2.jpg?width=60)
Bactris gasipaese1 - Outcome
- emergence speede0
- Comparator
- ESIe0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
_2.jpg?width=500)
Verbatim
e0“the ESI is not a good indicator to evaluate the emergence speed”
e1“The research was conducted with peach palm seeds ( Bactris gasipaes )”
Claim · model-written summary
Non-linear regression underestimated errors and increased the risk of misclassifying peach palm seed treatments.
- Taxon
- peach palmBactris gasipaese1
- Outcome
- underestimates the errorse0
- Direction
- underestimatese0
- Comparator
- non-linear regression modele0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the non-linear regression model underestimates the errors and, thus, increases the probability of misclassifying treatments”
e1“The research was conducted with peach palm seeds ( Bactris gasipaes )”
Claim · model-written summary
The time-to-event model was more reliable for classifying peach palm seed treatments by emergence speed.
- Taxon
- peach palmBactris gasipaese1
- Outcome
- classifying treatments according to the emergence speede0
- Direction
- more reliablee0
- Comparator
- time-to-event modele0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“the time-to-event model is more reliable in classifying treatments according to the emergence speed”
e1“The research was conducted with peach palm seeds ( Bactris gasipaes )”