A three-dimensional statistical reconstruction model of grapevine (Vitis vinifera) simulating canopy structure variability within and between cultivar/training system pairs

Annals of Botany

Volumn 101, Issue 8, 2008, Pages 1167-1184

  Louarn, Gaëtan ^a,b   Lecoeur, Jérémie ^a   Lebon, Eric ^a  

^a UMR 759 LEPSE   (France)

^b Université de Lille 1 Sciences et Technologies   (France)

Author keywords

Architecture; Balance; Canopy; Hemispherical; Light interception; Modelling; Picture; Plants; Radiative; Stochastic; Virtual

Indexed keywords

CULTIVAR; DIGITIZATION; ECOPHYSIOLOGY; FOLIAGE; HARVESTING; INTERCEPTION; LIGHT AVAILABILITY; MEASUREMENT METHOD; PARAMETERIZATION; PLANT ARCHITECTURE; QUANTITATIVE ANALYSIS; RECONSTRUCTION; STAND STRUCTURE; STATISTICAL ANALYSIS; STOCHASTICITY; THREE-DIMENSIONAL MODELING; VINE; YIELD RESPONSE;

VITACEAE; VITIS; VITIS VINIFERA;

ARTICLE; COMPUTER SIMULATION; GRAPE; GROWTH, DEVELOPMENT AND AGING; HISTOLOGY; METHODOLOGY; PLANT; THEORETICAL MODEL; THREE DIMENSIONAL IMAGING;

COMPUTER SIMULATION; IMAGING, THREE-DIMENSIONAL; MODELS, THEORETICAL; PLANT SHOOTS; VITIS;

EID: 48249116314     PISSN: 03057364     EISSN: 10958290     Source Type: Journal    
DOI: 10.1093/aob/mcm170     Document Type: Article

References (83)

1. Adam B, Sinoquet H. 1995. POL95: un logiciel pour l'acquisition de l'architecture des arbres, Guide utilisateur.Clermont-Ferrand: UMR PIAF - INRA.
2. Allen MT, Prusinkiewicz P, DeJong TM. 2005. Using L-systems for modeling source sink interactions, architecture and physiology of growing trees: the L-PEACH model. New Phytologist 166: 869-880.
3. Andrieu B, Ivanov N, Poissard P. 1995. Simulation of light interception from a maize canopy model constructed by stereo plotting. Agricultural and Forest Meteorology 75: 103-119.
4. Baret F, Andrieu B, Folmer JC, Hanocq JF, Sarrouy C. 1993. Gap fraction measurement from hemispherical infrared photography and its use to evaluate PAR interception efficiency. In: Varlet Grancher C, Bonhomme R, Sinoquet H, eds. Crop structure and light microclimate. INRA Editions, Versailles, France, 359-372.
5. Bergqvist J, Dokoozlian N, Ebisuda N. 2001. Sunlight exposure and temperature effects on berry growth and composition of Cabernet sauvignon and Grenache in the central San Joaquin valley of California. American Journal of Enology and Viticulture 52: 1-7.
6. Birch CJ, Andrieu B, Fournier C, Vos J, Room P. 2003. Modelling kinetics of plant canopy architecture - concepts and applications. European Journal of Agronomy 19: 519-533.
7. Bonhomme R, Chartier P. 1972. The interpretation and automatic measurement of hemispherical photographs to obtain sunlit foliage area and gap frequency. Israelian Journal of Agricultural Research 22: 53-61.
8. Bureau SM, Baumes RL, Razungles AJ. 2000. Effects of vine or bunch shading on the glycosylated flavor precursors in grapes of Vitis vinifera L. Cv Syrah. Journal of Agricultural Food Chemistry 48: 1290-1297.
9. Carbonneau A. 1995. La surface foliaire exposée potentielle. Guide pour sa mesure. Progrès Agricole et Viticole 112: 204-212.
10. Carbonneau A, Cargnello G. 2003. Architecture de la vigne et systèmes de conduite. Paris: Dunod Ed.
11. Carbonneau A, Casteran P, Leclair P. 1981. Principles and criteria for choosing trellising and training for the vineyards of temperate climates. Connaissance de la Vigne et du Vin 15: 97-124.
12. Casella E, Sinoquet H. 2003. A method for describing the canopy architecture of coppice poplar with allometric relationships. Tree Physiology 23: 1153-1170.
13. Casteran P, Carbonneau A, Leclair P. 1980. Structure de populations de vignes: Analyse des phénomènes de compétition entre plantes. Vitis 19: 121-133.
14. Cescatti A, Zorer R. 2003. Structural acclimation and radiation regime of silver fir (Abies alba Mill) shoots along a light gradient. Plant Cell and Environment 26: 429-442.
15. Chenu K, Franck N, Dauzat J, Barczi JF, Rey H, Lecoeur J. 2005. Integrated responses of rosette organogenesis and architecture to reduced incident light in Arabidopsis thaliana results in higher efficiency in light interception. Functional Plant Biology 32: 1123-1134.
16. Caldwell MM. 1987. Plant architecture and resource competition. In: Schulze ED, Zwölfer H, eds. Ecological studies 61. Berlin: Springer, 164-179.
17. Coombe BG. 1995. Adoption of a system for identifying grapevine growth stages. Australian Journal of Grape and Wine Research 1: 100-110.
18. Dauzat J, Eroy MN. 1997. Simulating light regime and intercrop yields in coconut based farming systems. European Journal of Agronomy 7: 63-74.
19. Dauzat J, Rapidel B, Berger A. 2001. Simulation of leaf transpiration and sap flow in virtual plants: model description and application to a coffee plantation in Costa Rica. Agricultural Forest and Meteorology 109: 143-160.
20. Downey MO, Harvey JS, Robinson SP. 2004. The effect of bunch shading on berry development and flavonoid accumulation in Shiraz grapes. Australian Journal of Grape and Wine Research 10: 55-73.
21. Dry PR. 2000. Canopy management for fruitfulness. Australian Journal of Grape and Wine Research 6: 109-115.
22. Dry PR, Loveys BR. 1998. Factors influencing grapevine vigour and the potential for control with partial rootzone drying. Australian Journal of Grape and Wine Research 4: 140-148.
23. Dry PR, Loveys BR, McCarthy MC, Stoll M. 2001. Strategic irrigation management in Australian vineyards. Journal International des Sciences de la Vigne et du Vin 35: 129-139.
24. Fournier C, Andrieu B. 1999. ADEL-maize: an L-system based model for the integration of growth processes from the organ to the canopy. Application to the regulation of growth by light availability. Agronomie 19: 313-325.
25. Giuliani R, Magnanini E, Nerozzi F, Muzzi E, Sinoquet H. 2005. Canopy probabilistic reconstruction inferred from Monte Carlo point-intercept leaf sampling. Agricultural Forest and Meteorology 128: 17-32.
26. Gladstone EA, Dokoozlian NK. 2003. Influence of leaf area density and trellis/training system on the light microclimate within grapevine canopies. Vitis 42: 123-131.
27. Godin C, Costes E, Sinoquet H. 1999. A method for describing plant architecture that integrates topology and geometry. Annals of Botany 84: 343-357.
28. Hammerley JM, Handscomb BC. 1964. Monte Carlo methods. London: Methuen & Co.
29. Hanan JS, Room PM. 1997. Practical aspects of virtual plant research. In: Michalewicz MT, ed. Plants to ecosystems - Advances in computational life sciences. Melbourne, 28-43.
30. Hutchinson BA, Matt DR, McMillen RT. 1980. Effect of sky brightness distribution upon penetration of diffuse radiation through canopy gaps in a deciduous forest. Agricultural Forest and Meteorology 22: 137-147.
31. Intrieri C, Poni S. 1995. Integrated evolution of trellis training systems and machines to improve grape quality and vintage quality of mechanized Italian vineyards. American Journal of Enology and Viticulture 46: 116-127.
32. Johnson RS, Lakso AN. 1991. Approaches to modelling light interception in orchards. HortScience 26: 1002-1004.
33. Kliewer WM. 1971. Effect of day temperature and light intensity on concentration of malic and tartaric acids in Vitis vinifera L. grapes. Journal of the American Society of Horticultural Science 96: 372-377.
34. Kliewer WM, Dokoozlian NK. 2005. Leaf area/crop weight ratios of grapevines: influence on fruit composition and wine quality. American Journal of Enology and Viticulture 56: 170-181.
35. Kliewer WM, Lider LA. 1968. Influence of cluster exposure to the sun on the composition of Thompson seedless fruit. American Journal of Enology and Viticulture 19: 175-184.
36. Krzanowsky WJ. 2000. Principles of multivariate analysis: a user's perspective. New York: Oxford University Press.
37. Law BE, Cescatti A, Baldochi DD. 2001. Leaf area distribution and radiative transfer in open-canopy forest: implications for mass energy exchange. Tree Physiology 21: 777-787.
38. Lebon E, Pellegrino A, Tardieu F, Lecoeur J. 2004. Shoot development in grapevine (Vitis vinifera L.) is affected by the modular branching pattern of the stem and intra- and inter-shoot trophic competition. Annals of Botany 93: 263-274.
39. Lebon E, Pellegrino A, Louarn G, Lecoeur J. 2006. Branch development controls leaf area dynamics in grapevine (Vitis vinifera) growing in drying soil. Annals of Botany 98: 175-185.
40. Leuning R, Kelliher FM, De Pury DGG, Schultze ED. 1995. Leaf nitrogen, photosynthesis, conductance and transpiration: scaling from leaves to canopies. Plant Cell and Environment 18: 1183-1200.
41. Louarn G, Cheze C, Jacquet O, Boutin F, Lecoeur J, Lebon E. 2005. Estimation of light interception efficiency of a vineyard with hemispherical photographs. In: Schultz HR, ed. Proceedings GESCO, 23-27 August 2005, Geisenheim. Eltville: Langer GmbH, 231-236.
42. Louarn G, Guédon Y, Lecoeur J, Lebon E. 2007. Quantitative analysis of the phenotypic variability of shoot architecture in two grapevine cultivars (Vitis vinifera). Annals of Botany 99: 425-437.
43. Lynch J. 1995. Root architecture and plant productivity. Plant Physiology 109: 7-13.
44. Mabrouk H, Sinoquet H. 1998. Indices of light microclimate and canopy structure of grapevines determined by 3D digitising and image analysis, and their relationship to grape quality. Australian Journal of Grape and Wine Research 4: 2-13.
45. Mabrouk H, Carbonneau A, Sinoquet H. 1997a. Canopy structure and radiation regime in grapevine. I. Spatial and angular distribution of leaf area in two canopy systems. Vitis 36: 119-123.
46. Mabrouk H, Sinoquet H, Carbonneau A. 1997b. Canopy structure and radiation regime in grapevine. II. Modelling radiation interception and distribution inside the canopy. Vitis 36: 125-132.
47. Martin P, Dauzat J, Luquet D, Clouvel P. 2007. Architectural and geometrical representations of cotton plants for simulating their light interception at low density. In: Proceedings of PMA06, Beijing, China, IEEE Conference Publishing Service, In Press.
48. Monsi M, Saeki T. 1953. Über den Lichtfaktor in den Pflanzengeselschaften and seine Bedeutung fur die Stoffproduktion. Japanese Journal of Botany 14: 22-52.
49. Monteith J. 1977. Climate and the efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London 281: 277-294.
50. Morgan DC, Stanley CJ, Warrington IJ. 1985. The effects of simulated daylight and shade-light on vegetative and reproductive growth in kiwifruit and grapevine. Journal of Horticultural Science 60: 473-484.
51. Niinemets Ü, Kull O. 1995. Effects of light availability and tree size on the architecture of assimilative surface in the canopy of Picea abies: variation in shoot structure. Tree Physiology 15: 791-798.
52. Norman JM. 1982. Simulation of microclimates. In: Hatfield JL, Thomason IJ, eds. Biometeorology in integrated pest management. Academic Press, New York, 65-99.
53. OIV. 1983. Code de caractères descriptifs des variétés et espèces de Vitis. Paris: Office International de la Vigne et du vin.
54. Ordovas J, Sanchez-Capuchino JA, Casanova R. 1983. L'aoûtement des entre-coeurs et sa relation avec les phénomè nes rythmiques. Connaissance de la vigne et du vin 17: 173-181.
55. Polhemus F. 1993. 3SPACE FASTRAK user's manual Revision F. Colchester VT: Polhemus.
56. Potel AM, Monney P, Sinoquet H, Sonohat G, Lauri PE. 2005. Digitalisation tridimensionnelle des arbres pour l'analyse de systèmes de vergers de pommier. Revue Suisse de Viticulture d'Arboriculture et d'Horticulture 37: 173-179.
57. th International Workshop on FSPMs, 7-11 June 2004 - Montpellier, France. UMR AMAP, 51-55.
58. Prusinkiewicz P. 1998. Modelling of spatial structure of plants: a review. Scientia Horticulturae. 75: 113-149.
59. Rapidel B. 1995. Etude expérimentale et simulation des transferts hydriques dans les plantes individuelles. Application au caféier(Coffea arabica L.). PhD thesis, Université Montpellier II, France.
60. Reynolds AG, Wardle DA. 1989. Influence of fruit microclimate on monoterpene levels of GewÜrztraminer. American Journal of Enology and Viticulture 40: 149-154.
61. Ross J. 1981. The radiation regime and architecture of plant stands. The Hague: Dr W Junk Publishers.
62. Ross J, Ross V. 1998. Statistical description of the architecture in a fast growing willow coppice. Agricultural and Forest Meteorology 91: 23-37.
63. Schultz HR. 1995. Grape canopy structure, light microclimate and photosynthesis. 1. A two-dimensional model of the spatial distribution of surface area densities and leaf ages in two canopy systems. Vitis 34: 211-215.
64. Shaulis N, Amberg H, Crowe D. 1966. Response of Concord grapes to light exposure and Geneva double curtain training. Proceedings of the American Society of Horticultural Science 89: 268-280.
65. Sinoquet H, Andrieu B. 1993. The geometrical structure of plant canopies: characterisation and direct measurement methods. In: Varlet Grancher C, Bonhomme R, Sinoquet H, eds. Crop structure and light microclimate. INRA Editions, Versailles, France, 131-158.
66. Sinoquet H, Rivet P. 1997. Measurement and visualisation of the architecture of an adult tree based on a three-dimensional digitizing device. Trees 11: 265-270.
67. Sinoquet H, Valancogne C, Lescure A, Bonhomme R. 1992. Modélisation de l'interception des rayonnements solaires dans une culture en rangs. III. Application à une vigne traditionnelle. Agronomie 12: 307-318.
68. Sinoquet H, Thanisawanyangkura S, Mabrouk H, Kasemsap P. 1998. Characterization of the light environment in canopies using 3D digitising and image processing. Annals of Botany 82: 203-212.
69. Sinoquet H, Le Roux X, Adam B, Améglio T, Daudet FA. 2001. RATP, a model for simulating the spatial distribution of radiation absorption, transpiration and photosynthesis within canopies: application to an isolated tree crown. Plant Cell and Environment 24: 395-406.
70. Smart RE. 1985. Principles of grapevine canopy microclimate manipulation with implications for yield and quality - A review. American Journal of Enology and Viticulture 36: 230-239.
71. Smart RE, Shaulis NJ, Lemon RE. 1982. The effect of Concord vineyard microclimate on yield. I. The effect of pruning, training and shoot positioning on radiation microclimate. American Journal of Enology and Viticulture 33: 99-108.
72. Smart RE, Dick JK, Gravett IM, Fisher BM. 1990. Canopy management to improve grape yield and wine quality - Principles and practices. South African Journal of Enology and Viticulture 11: 3-17.
73. Sonohat G, Sinoquet H, Kulandaivelu V, Combes D, Lescourret F. 2006. Three-dimensional reconstruction of partially 3D digitised peach tree canopies. Tree Physiology 26: 337-351.
74. Spayd SE, Tarara JM, Mee DL, Ferguson JC. 2002. Separation of sunlight and temperature effects on the composition of Vitis vinifera Cv Merlot berries. American Journal of Enology and Viticulture 53: 171-182.
75. Stenberg P, Kangas T, Smolander H, Linder S. 1999. Shoot structure, canopy openness and light interception in Norway spruce. Plant Cell and Environment 22: 1133-1142.
76. Succi F, Magnanini E, Quadretti R, Miserocchi O, Costa G. 1997. A geometric approach to kiwifruit canopy modelling. Acta Horticulturae 444: 181-186.
77. Takenaka A, Takahashi K, Kohyama T. 2001. Optimal leaf display and biomass partitioning for efficient light capture in an understorey palm, Licuala arbuscula. Functional Ecology 15: 660-668.
78. Thanisawanyangkura S, Sinoquet H, Rivet P, Crétenet M, Jallas E. 1997. Leaf orientation and sunlit leaf area distribution in cotton. Agricultural and Forest Meteorology 86: 1-15.
79. Tomasi D, Pascarella G, Silviotti P, Belvini P. 2005. Canopy geometry modification and grapevine performances as affected by training system. In: Schultz, HR, ed. Proceedings GESCO, 23-27 August 2005, Geisenheim. Eltville: Langer GmbH, 351-357.
80. Whitehead D, Grace JC, Godfrey MJS. 1990. Architectural distribution of foliage in individual Pinus radiata D. Don crowns and the effect of clumping on radiation interception. Tree Physiology 7: 135-155.
81. Willaume M, Lauri E, Sinoquet H. 2004. Light interception in apples trees influenced by canopy architecture manipulation. Trees 18: 705-713.
82. Winkler AJ, Cook JA, Kliewer WM, Lider LA. 1974. General viticulture. Berkeley, CA: University of California Press.
83. Yan HP, Kang MZ, de Reffye P, Dingkuhn M. 2004. A dynamic, architectural plant model simulating resource-dependent growth. Annals of Botany 93: 591-602.