Morphophysiological characteristics of (Coffea arabica L.) in different arrangements: lessons from a 3d virtual plant approach

3D vegetative structural and functional models are useful in simulations of ecophysiological and biophysical processes. The main objective of this study was to model a 3D Coffea arabica L. structure. The specific aim was to use 3D mock-ups for analysis of vertical leaf and berry distribution and light interception in coffee crops cultivated in different planting densities and arrangements. The mock-ups were built after abstraction and codification by VPlants, based on morphological measurements (orthotropic shoot height and its number of internodes; positions of second to fourth branching order plagiotropics; internode number on first to fourth branching order plagiotropics number of leaf pairs), and several hypotheses. Mock-ups were visualized in PlantGLViewer, while Silhouette to Total Area Ratio (STAR), leaf area (LA) and berry distribution were processed in VegeSTAR. Planting arrangements influenced STAR when the plants were grown in a low density (6,000 plants ha-1). Plant density had a significant effect on the number of berries in square arrangements. The higher layers were occupied by first order foliage and few berries, allowing more light to pass to the lower canopy layers. Berries were abundant in the first and second order plagiotropic branches, in the highest and middle layers. Light distribution was more uniform than leaf area distribution, indicative of a disperse foliage and efficient space occupation. STAR correlated strongly with berry number, especially in the upper, less shaded canopy layers, where flower induction was the most intense.

[1]  Avner Bar-Hen,et al.  Definition of architectural ideotypes for good yield capacity in Coffea canephora. , 2006, Annals of botany.

[2]  Harri Hakula,et al.  Components of functional-structural tree models , 2000 .

[3]  S. D. Toledo,et al.  Influência da densidade de plantio e sistema de podas na produção de café , 1999 .

[4]  Christophe Godin,et al.  Functional-structural plant modelling. , 2005, The New phytologist.

[5]  H. Sinoquet,et al.  Simple equations to estimate light interception by isolated trees from canopy structure features: assessment with three-dimensional digitized apple trees. , 2007, The New phytologist.

[6]  D. Barthélémy,et al.  Plant architecture: a dynamic, multilevel and comprehensive approach to plant form, structure and ontogeny. , 2007, Annals of botany.

[7]  Bernard P. Zeigler,et al.  Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems , 2000 .

[8]  Przemyslaw Prusinkiewicz,et al.  The Algorithmic Beauty of Plants , 1990, The Virtual Laboratory.

[9]  P. D. Reffye,et al.  Modèle mathématique aléatoire et simulation de la croissance et de l'architecture du caféier Robusta. I. Etude du fonctionnement des méristèmes et de la croissance des axes végétatifs , 1981 .

[10]  Hervé Sinoquet,et al.  Light interception in apple trees influenced by canopy architecture manipulation , 2004, Trees.

[11]  Christophe Godin,et al.  OpenAlea : A visual programming and component-based 1 software platform for plant modeling 2 3 , 2008 .

[12]  S. Yamada,et al.  Effect of Shading Fruit by Bagging on the Dry Matter Production , 1992 .

[13]  P. Tomlinson,et al.  Tropical Trees and Forests: An Architectural Analysis , 1978 .

[14]  A. Alvino,et al.  A mathematical approach for estimating light absorption by a crop from continuous radiation measurements and restricted absorption data , 1999 .

[15]  Christophe Godin,et al.  A Method for Describing Plant Architecture which Integrates Topology and Geometry , 1999 .

[16]  N. Dengler,et al.  Anisophylly and Dorsiventral Shoot Symmetry , 1999, International Journal of Plant Sciences.

[17]  Jean Dauzat,et al.  Carbon allocation in fruit trees: from theory to modelling , 2008, Trees.

[18]  H. Sinoquet,et al.  Comparison of models for daily light partitioning in multispecies canopies , 2000 .

[19]  Hervé Sinoquet,et al.  RATP: a model for simulating the spatial distribution of radiation absorption, transpiration and photosynthesis within canopies: application to an isolated tree crown , 2001 .

[20]  S. Cunningham The effect of light environment, leaf area, and stored carbohydrates on inflorescence production by a rain forest understory palm , 1997, Oecologia.

[21]  Philippe De Reffye Modèle mathématique aléatoire et simulation de la croissance et de l'architecture du caféier Robusta. III. Etude de la ramification sylleptique des rameaux primaires et de la ramification proleptique des rameaux secondaires , 1982 .

[22]  G. Whitelam,et al.  The participation of phytochrome in the signal transduction pathway of salt stress responses in Mesembryanthemum crystallinum L. , 1996 .

[23]  Christophe Godin,et al.  Representing and encoding plant architecture: A review , 2000 .

[24]  H. Sinoquet,et al.  A 3D model for simulating the spatial and temporal distribution of temperature within ellipsoidal fruit , 2007 .