2004
DOI: 10.1016/j.matcom.2003.09.021
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Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

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Cited by 12 publications
(8 citation statements)
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“…A first group of models predicts variables at the level of the whole shoot, such as total stem length and basal stem diameter (Hopper et al, 1994; Costa and Heuvelink, 2003; Oki et al, 2006) or morphological quality classes (Morisot, 1996). Structural descriptions have been refined further in more mechanistic models (Lieth and Pasian, 1991; Dayan et al, 2004), mostly with a view to predicting the harvest of rose flowers more accurately. Considerable effort has thus gone into modeling photosynthesis and assimilate partitioning, but the kinetics of expansion of individual organs and its variation with respect to organ position have not been described.…”
Section: Introductionmentioning
confidence: 99%
“…A first group of models predicts variables at the level of the whole shoot, such as total stem length and basal stem diameter (Hopper et al, 1994; Costa and Heuvelink, 2003; Oki et al, 2006) or morphological quality classes (Morisot, 1996). Structural descriptions have been refined further in more mechanistic models (Lieth and Pasian, 1991; Dayan et al, 2004), mostly with a view to predicting the harvest of rose flowers more accurately. Considerable effort has thus gone into modeling photosynthesis and assimilate partitioning, but the kinetics of expansion of individual organs and its variation with respect to organ position have not been described.…”
Section: Introductionmentioning
confidence: 99%
“…Only a few global variables are required to describe the visual quality of the flower, so models for these roses tend to describe architecture on the basis of stem length or diameter [6] [7], or morphological quality classes [8]. Structural descriptions have been refined further in more mechanistic models [9] [10], but only with a view to predicting the number of rose flowers more accurately. ROSEGRO [10], for example, is a photosynthesisbased model that predicts the number of flowering shoots and their average weight and length as a function of the climatic conditions in the greenhouse.…”
Section: Introductionmentioning
confidence: 99%
“…Temperature is directly connected to physiological processes, such as respiration and photosynthesis, which are responsible for the plant growth rate and rose production [28]. Several mathematical models for rose production have been developed and calibrated, such as ROSGRO [29], ROSESIM [30], and other empirical models [6]. All these models have the aim to monitor and guide the plant growth, development, and flower production.…”
Section: Discussionmentioning
confidence: 99%