2008
DOI: 10.1111/j.1755-0238.2008.00016.x
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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

Abstract: 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 shoot‐positioned 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 int… Show more

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Cited by 20 publications
(27 citation statements)
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“…They have proven useful for analysing feedback processes between plant architecture and physiological processes, if local environmental conditions are the key process drivers [15][16][17][18]. A milestone for modelling plant architecture of grapevine is the work of Louarn et al [19] and Louarn et al [20] on TopVine. Their statistical approach for a static architectural model of grapevine was based on digitised real plants.…”
Section: Introductionmentioning
confidence: 99%
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“…They have proven useful for analysing feedback processes between plant architecture and physiological processes, if local environmental conditions are the key process drivers [15][16][17][18]. A milestone for modelling plant architecture of grapevine is the work of Louarn et al [19] and Louarn et al [20] on TopVine. Their statistical approach for a static architectural model of grapevine was based on digitised real plants.…”
Section: Introductionmentioning
confidence: 99%
“…The variability was mimicked for basal positions of the shoot, parameters for the spatial paths of the shoots and leaf azimuth and elevation angles, whereas each shoot has the same leaf area, which is a model input, and the length of each sub-unit is the same. TopVine was used to simulate light-sensitive differences in canopy structure variability within and between cultivar × training system pairs for Grenache Noir and Syrah [20]. A similar study of Iandolino et al [21] aimed at simplifying simulations of grapevine canopy reconstruction.…”
Section: Introductionmentioning
confidence: 99%
“…Grapevine vegetative growth and canopy structure affects the amount of light reaching the grape bunch and modifies its microclimate [5]-[7]. Moreover, the partitioning of photoassimilates and other metabolites to the bunch will also depend on the extent of vegetative growth during berry development and eventually it will determine the metabolite profile of the flesh and skin of the berry [5],[8],[9].…”
Section: Introductionmentioning
confidence: 99%
“…Com o deslocamento das fases fenológicas, ou seja, a antecipação das colheitas, a tendência é aumentar a disponibilidade e a intensidade da radiação solar, assim como maior disponibilidade de horas de luminosidade, consequentemente com menor mudança da incidência da radiação solar no Hemisfério Sul. Naturalmente, a questão do potencial genético (LOUARN et al, 2008), o manejo da arquitetura foliar e o dossel vegetativo podem modificar o aproveitamento da radiação solar pela cultura (SEGIN, 2007;MANDELLI et al, 2008;MIELE et al, 2009;FAVERO et al, 2010 FIGURA 9 -Radiação solar global acumulada no período de maturação da videira medida em Pech Rouge, no sul da França (setembro a outubro), e março a abril no Planalto Catarinense.…”
Section: Methodsunclassified