Prediction and calculation of morphological characteristics and distribution of assimilates in the ROSGRO model

ROSGRO is a mechanistic photosynthesis-based model for better understanding of rose growth under a controlled environment. The rose canopy is composed of two types of shoots: flower shoots (FSs) and side shoots (SSs). Each shoot type is a complex of three components: stem internodes, compound leaflets and whorled petals, characterized by number, weight and morphological dimension. Light interception by the leaf area, photosynthesis and respiration are calculated in order to determine assimilates production and conversion into structural dry matter (DM). Subsequently, the model partitions the DM among plant organs and estimates spatial distribution of plant material from dry weight. DM partitioning between shoots derives from the potential growth rates established according to the potential growth of shoot templates. The potential growth can be estimated by morphological measurements on basal shoots (BSs). The growth and development of each shoot is arbitrarily divided into 20 age classes (ACs). In each AC, the apex of an FS or SS has similar morphogenetic information to the BS apex, but is deficient in its supply of assimilates. The model handles the daily bookkeeping of the number, weight, and length, area or volume of each component by considering birth and growth, death, entry and exit of components in each AC. The model predicts harvest dates and rates of picking by number and weight. It predicts flower quality characteristics and their seasonal evolution. The calculated numbers, weights, and average weights and lengths of picked flowers agree well with measured values.

[1]  J. Goudriaan,et al.  Modelling of ageing, development, delays and dispersion. , 1989 .

[2]  A. D. Koning.  The effect of temperature on fruit growth and fruit load of tomato , 1989 .

[3]  J. Lieth,et al.  A simulation model for the growth and development of flowering rose shoots , 1991 .

[4]  J. Monteith,et al.  A Mathematical Function for Crop Growth Based on Light Interception and Leaf Area Expansion , 1990 .

[5]  J. Heinrich Lieth,et al.  Modeling stem elongation and leaf unfolding of Easter lily during greenhouse forcing , 1990 .

[6]  A. Morisot.  'PP.ROSE': AN EMPIRICAL MODEL TO PREDICT THE POTENTIAL YIELD OF CUT ROSES , 1996 .

[7]  N. Zieslin.  Regulation of flower formation in rose plants: a reappraisal , 1992 .

[8]  Leo F. M. Marcelis,et al.  The Dynamics of Growth and Dry Matter Distribution in Cucumber , 1992 .

[9]  A Simulation Model of Rosa hybrida Growth Response to Constant Irradiance and Day and Night Temperatures , 1994 .

[10]  J. Lieth,et al.  A model for net photosynthesis of rose leaves as a function of photosynthetically active radiation, leaf temperature, and leaf age , 1990 .

[11]  C. Gary,et al.  MODELLING DAILY CHANGES IN SPECIFIC LEAF AREA OF TOMATO: THE CONTRIBUTION OF THE LEAF ASSIMILATE POOL , 1993 .

[12]  James W. Jones,et al.  Crop modelling in horticulture: state of the art , 1998 .

[13]  W. Lentz,et al.  Model applications in horticulture: a review , 1998 .

[14]  Przemyslaw Prusinkiewicz,et al.  L-systems: from the Theory to Visual Models of Plants , 2001 .

[15]  Marcel Fuchs,et al.  TRANSPIRATION OF ROSES IN GREENHOUSES , 2001 .

[16]  P. Fisher,et al.  THE GREENHOUSE CARE SYSTEM: A DECISION-SUPPORT SYSTEM FOR HEIGHT CONTROL AND SCHEDULING OF POTTED FLOWERING PLANTS , 1996 .

[17]  Przemyslaw Prusinkiewicz,et al.  Modeling of spatial structure and development of plants: a review , 1998 .

[18]  P. Hammer,et al.  Regression Models Describing Rosa hybrida Response to Day/Night Temperature and Photosynthetic Photon Flux , 1991 .

[19]  M. Kool,et al.  Analysis of rose crop production. , 1996 .

[20]  Royal D. Heins,et al.  Quantification of Temperature Effects on Stem Elongation in Poinsettia , 1991 .

[21]  G. Russell,et al.  Plant Canopies: Their Growth, Form and Function: Canopies as populations , 1989 .

[22]  J. H. Lieth,et al.  Shoot elongation retardation owing to daminozide in Chrysanthemum: II. Modeling multiple applications , 1993 .

[23]  H. Challa,et al.  Hortisim: a model for greenhouse crops and greenhouse climate , 1998 .

[24]  Ep Heuvelink,et al.  Modelling biomass production and yield of horticultural crops: a review , 1998 .

[25]  A. Morisot.  A FIRST STEP TO VALIDATING âPP.Roseâ, AN EMPIRICAL MODEL OF THE POTENTIAL PRODUCTION OF CUT ROSES , 1996 .

[26]  C. T. Wit,et al.  Simulation of assimilation, respiration, and transpiration of crops , 1978 .

[27]  H. Challa,et al.  Development, calibration and validation of a greenhouse tomato growth model: I. Description of the model☆ , 1993 .

[28]  E. Heuvelink,et al.  Influence of assimilate supply on leaf formation in sweet pepper and tomato , 1996 .

[29]  M. Kool.  System development of glasshouse roses. , 1996 .

[30]  James W. Jones,et al.  Development, calibration and validation of a greenhouse tomato growth model: II. Field calibration and validation , 1993 .

[31]  Paul R. Fisher,et al.  Modeling Flower Bud Elongation in Easter Lily (Lilium longiflorum Thunb.) in Response to Temperature , 1996 .

[32]  H. Challa,et al.  A dynamic tomato growth and yield model (TOMGRO) , 1991 .

[33]  H. van Keulen,et al.  Tiller dynamics and growth of Rhodes grass after defoliation: A model named TILDYN , 1981 .

[34]  Bruce A. Kimball,et al.  Carbon Dioxide Enrichment Of Greenhouse Crops , 1996 .