Towards Developing Reliable Models of Leaf Area on Grapevines (Vitis vinifera L.)

Yann Guisard, Colin Birch

Research output: Book chapter/Published conference paperConference paperpeer-review

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Abstract

A field study in three vineyards in southern Queensland (Australia) was carried out to develop predictive models for individual leaf area and shoot leaf area of two cultivars (Cabernet Sauvignon and Shiraz) of grapevines (Vitis Vinifera L.). Digital image analysis was used to measure leaf vein length and leaf area. Stepwise regressions of untransformed and transformed models consisting of up to six predictor variables for leaf area and three predictor variables for shoot leaf area were carried out to obtain the most efficient models. High correlation coefficients were found for log10 transformed individual leaf and shoot leaf area models. The significance of predictor variables in the models varied across vineyards and cultivars, demonstrating the discontinuous and heterogeneous nature of vineyards. The application of this work in a grapevine modeling environment and in a dynamic vineyard management context are discussed. Sample sizes for quantification of individual leaf areas and areas of leaves on shoots are proposed based on target margins of errors of sampled data.
Original languageEnglish
Title of host publicationInformation and technology for sustainable fruit and vegetable production. Frutic 05, 7th Fruit, Nut and Vegetable Production Engineering Symposium
Place of PublicationMontpellier, France
PublisherCemagref
Pages305-314
Number of pages10
Publication statusPublished - 2005
EventFrutic 05, Fruit, Nut and Vegetable Production Engineering Symposium - Montpellier, France, France
Duration: 12 Sep 200516 Sep 2005

Conference

ConferenceFrutic 05, Fruit, Nut and Vegetable Production Engineering Symposium
CountryFrance
Period12/09/0516/09/05

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