Towards developing reliable models of leaf area on grapevines (Vitis vinifera L.)

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.

Experimental characterisation of the impact of neighbouring modulation-formats on 43Gb/s P-DPSK over SSMF and LEAF

We report an experimental characterisation examining the impact of differing 50GHz neighbouring modulation formats and bit rates on the performance of 43Gb/s P-DPSK over 1300km of SSMF and LEAF types. Performance is shown to be robust for hybrid P-DPSK and OOK systems. © VDE VERLAG GMBH.