Abstract
Assuming that the germination process of a seed passes through several stages (or states), including a state of non-germination, we model this phenomenon by means of a continuous-time Markov chain. The distribution of the germination time and the average of the first germination is obtained. In particular, when the duration of the process at each stage is on average the same we see that the proposed model adjusts rather well some experimental data.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by-nc-sa. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 2
Claim · model-written summary
The model yields a germination-time distribution and average first-germination time.
- Outcome
- distribution of the germination time and the average of the first germinatione0
Not reportedTaxonValue
Verbatim
e0“The distribution of the germination time and the average of the first germination is obtained.”
Claim · model-written summary
With equal average stage durations, the model fits some experimental data rather well.
- Outcome
- adjusts rather well some experimental datae0
- Qualifier
- when the duration of the process at each stage is on average the samee0
Not reportedTaxonComparatorValue
Verbatim
e0“when the duration of the process at each stage is on average the same we see that the proposed model adjusts rather well some experimental data.”