Influence of trellis system and shoot positioning on light interception and distribution in two grapevine cultivars with different architectures: an original approach based on 3D canopy modelling

Background and Aims: A 3D modelling approach simulating canopy structure was used in combination with a radiative transfer model to simulate light interception, distribution and microclimate in the fruiting zone. Methods and Results: This model was parameterised for four training systems (two vertical shootpositioned systems with one or two pairs of catch wires (VSP-1W, VSP-2W); two non-shoot-positioned systems, gobelet (GOB) and bilateral free cordon (BFC)) and two cultivars (Syrah and Grenache). Light interception and canopy microclimate depended on the interactions between the intrinsic architecture of the cultivars and canopy manipulations. Shoot vigour and leaf area were the main determinants of canopy radiative balance. However, differences in shoot architecture accounted for up to 25% of the difference in light interception between cultivar ¥ trellis system pairs at a given leaf area index (LAI). Light interception efficiencies and the proportion of sunlit leaf area (SLA) were 25‐30% lower for VSP-2W than for BFC for intermediate LAI values. The genotypic differences in the ability to capture light were mostly induced by the ‘procumbent’ habit of the Syrah shoots. For this cultivar, shoot-positioned systems resulted in lower levels of fruit illumination at midday than the BFC and GOB systems, whereas the use of a catch wire in VSP-Grenache canopies made it possible to maintain light penetration in the fruit zone. Conclusions: These results highlight the problem of adapting the training system to both the architectural characteristics of the cultivar and climate. Free-standing systems had greater light interception and SLA than shoot-positioned systems. They may enhance fruit illumination for cultivars with ‘procumbent’ shoots. Significance of the Study: Non-positioned shoot systems offer the possibility of combining a high level of light interception, favourable microclimate and reduced labour-intensive practices for vineyards in conditions of moderate vigour.

[1]  E. Lemon,et al.  The Effect of Concord Vineyard Microclimate on Yield. I. The Effects of Pruning, Training, and Shoot Positioning on Radiation Microclimate , 1982, American Journal of Enology and Viticulture.

[2]  W. Kliewer,et al.  The Light Environment Within Grapevine Canopies. I. Description and Seasonal Changes During Fruit Development , 1995, American Journal of Enology and Viticulture.

[3]  Hervé Sinoquet,et al.  Canopy probabilistic reconstruction inferred from Monte Carlo point-intercept leaf sampling , 2005 .

[4]  V. Sotes,et al.  Ecophysiological and Agronomic Response of Tempranillo Grapevines to Four Training Systems , 2005, American Journal of Enology and Viticulture.

[5]  R. Smart Shoot Spacing and Canopy Light Microclimate , 1988, American Journal of Enology and Viticulture.

[6]  M. Herderich,et al.  Exclusion of sunlight from Shiraz grapes alters wine colour, tannin and sensory properties , 2007 .

[7]  N. Dokoozlian,et al.  Sunlight Exposure and Temperature Effects on Berry Growth and Composition of Cabernet Sauvignon and Grenache in the Central San Joaquin Valley of California , 2001, American Journal of Enology and Viticulture.

[8]  Jérémie Lecoeur,et al.  A three-dimensional statistical reconstruction model of grapevine (Vitis vinifera) simulating canopy structure variability within and between cultivar/training system pairs. , 2007, Annals of botany.

[9]  P. Clingeleffer,et al.  Suitability of minimal pruning and other low-input systems for warm and cool climate grape production. , 2005 .

[10]  Hervé Sinoquet,et al.  Indices of light microclimate and canopy structure of grapevines determined by 3D digitising and image analysis, and their relationship to grape quality , 1998 .

[11]  C. Riou,et al.  Un modèle simple d'interception du rayonnement solaire par la vigne - vérification expérimentale , 1989 .

[12]  R. Smart,et al.  Principles of Grapevine Canopy Microclimate Manipulation with Implications for Yield and Quality. A Review , 1985, American Journal of Enology and Viticulture.

[13]  Masahiko Kitayama,et al.  Loss of anthocyanins in red-wine grape under high temperature. , 2007, Journal of experimental botany.

[14]  Y. Guédon,et al.  Quantitative analysis of the phenotypic variability of shoot architecture in two grapevine (Vitis vinifera) cultivars. , 2007, Annals of botany.

[15]  M. Downey,et al.  The effect of bunch shading on berry development and flavonoid accumulation in Shiraz grapes , 2008 .

[16]  J. C. Ferguson,et al.  Asymmetrical canopy architecture due to prevailing wind direction and row orientation creates an imbalance in irradiance at the fruiting zone of grapevines , 2005 .

[17]  J. Flexas,et al.  Distribution of leaf photosynthesis and transpiration within grapevine canopies under different drought conditions , 2003 .

[18]  E. Magnanini,et al.  A GEOMETRIC APPROACH TO KIWIFRUIT CANOPY MODELLING , 1997 .

[19]  V. Zufferey Échanges gazeux des feuilles chez Vitis vinifera L. (cv. Chasselas) en fonction des paramètres climatiques et physiologiques et des modes de conduite de la vigne , 2000 .

[20]  Peter B. Høj,et al.  Canopy microclimate and berry composition: The effect of bunch exposure on the phenolic composition of Vitis vinifera L cv. Shiraz grape berries , 2000 .

[21]  Peter R. Dry,et al.  Canopy management for fruitfulness , 2000 .

[22]  P. Dry,et al.  Response of Shiraz grapevines to five different training systems in the Barossa Valley, Australia , 2003 .

[23]  J. D. Dulk The interpretation of remote sensing : a feasibility study , 1989 .

[24]  Nick K. Dokoozlian,et al.  Leaf Area/Crop Weight Ratios of Grapevines: Influence on Fruit Composition and Wine Quality , 2005, American Journal of Enology and Viticulture.

[25]  H. Sinoquet,et al.  Spatial distribution of leaf water‐use efficiency and carbon isotope discrimination within an isolated tree crown , 2001 .

[26]  Michael J. Savage,et al.  Effects of trellising on the energy balance of a vineyard , 1996 .

[27]  F. Murisier Optimalisation du rapport feuille-fruit de la vigne pour favoriser la qualité du raisin et l'accumulation des glucides de réserve , 1996 .

[28]  H. Bleiholder,et al.  Growth Stages of the Grapevine: Phenological growth stages of the grapevine (Vitis vinifera L. ssp. vinifera)—Codes and descriptions according to the extended BBCH scale† , 1995 .

[29]  F. Baret,et al.  A 3D peach canopy model used to evaluate the effect of tree architecture and density on photosynthesis at a range of scales , 2000 .

[30]  A. Palliotti,et al.  Effect of Shading on Vine Morphology and Productivity and Leaf Gas Exchange Characteristics in Grapevines in the Field , 1995, American Journal of Enology and Viticulture.

[31]  Stefano Poni,et al.  Degree of correlation between total light interception and whole-canopy net CO2 exchange rate in two grapevine growth systems , 2003 .

[32]  W. Kliewer,et al.  Influence of Cluster Exposure to the Sun on the Composition of Thompson Seedless Fruit , 1968, American Journal of Enology and Viticulture.

[33]  S. Poni,et al.  Ecophysiology and vine performance of cv. “Aglianico” under various training systems , 2001 .

[34]  Nick K. Dokoozlian,et al.  Influence of leaf area density and trellis/training system on the light microclimate within grapevine canopies , 2003 .

[35]  Hervé Sinoquet,et al.  Three-dimensional reconstruction of partially 3D-digitized peach tree canopies. , 2004, Tree physiology.

[36]  Julie M. Tarara,et al.  Separation of Sunlight and Temperature Effects on the Composition of Vitis vinifera cv. Merlot Berries , 2002, American Journal of Enology and Viticulture.

[37]  H. Sinoquet,et al.  Characterization of the Light Environment in Canopies Using 3D Digitising and Image Processing , 1998 .

[38]  B. G. Coombe,et al.  Growth Stages of the Grapevine: Adoption of a system for identifying grapevine growth stages , 1995 .

[39]  Jean Dauzat,et al.  Simulation of leaf transpiration and sap flow in virtual plants: model description and application to a coffee plantation in Costa Rica. , 2001 .

[40]  P. B. Lombard,et al.  Environmental and Management Practices Affecting Grape Composition and Wine Quality - A Review , 1993, American Journal of Enology and Viticulture.

[41]  W. Kliewer,et al.  The Light Environment Within Grapevine Canopies. II. Influence of Leaf Area Density on Fruit Zone Light Environment and Some Canopy Assessment Parameters , 1995, American Journal of Enology and Viticulture.

[42]  Alain Carbonneau,et al.  La surface foliaire exposée potentielle: guide pour sa mesure , 1993 .

[43]  Eric Lebon,et al.  Branch development controls leaf area dynamics in grapevine (Vitis vinifera) growing in drying soil. , 2006, Annals of botany.

[44]  Jean Dauzat,et al.  Simulating light regime and intercrop yields in coconut based farming systems , 1997 .