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Z. S. CHALABI, W. DAY, Application of Dynamic Jump Process Analysis to Modelling Tiller Production in Winter Wheat, Mathematical Medicine and Biology: A Journal of the IMA, Volume 3, Issue 1, 1986, Pages 23–40, https://doi.org/10.1093/imammb/3.1.23
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Abstract
A stochastic model for tiller production in winter wheat is proposed. A conditional jump process model provides a mathematical framework suitable for analysing data from single plant observations in a crop. It is argued that this approach could further elucidate and quantify the effects of various factors on rate of tillering.
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