
A stochastic model for germination
Author(s) -
José VillaMorales
Publication year - 2020
Publication title -
revista de matemáticas
Language(s) - English
Resource type - Journals
eISSN - 2215-3373
pISSN - 1409-2433
DOI - 10.15517/rmta.v27i2.34109
Subject(s) - germination , markov chain , process (computing) , mathematics , markov process , statistical physics , biological system , computer science , statistics , physics , botany , biology , operating system
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.