Showing results for: [ Oenology and Viticulture ]
Three experimental data sets (WNRA0103, WNRA0305 and WNRA0506) involving three grapevine varieties and a range of deficit irrigation and pruning treatments are described.
The purpose for obtaining th... moree data sets was two-fold, (1) to meet the research goals of the Cooperative Research Centre for Viticulture (CRCV) during its tenure 1999-2006, and (2) to test the capacity of the VineLOGIC grapevine growth and development model to predict timing of bud burst, flowering, veraison and harvest, yield and yield components, berry attributes and components of water balance. A test script, included with the VineLOGIC source code publication (https://doi.org/10.25919/5eb3536b6a8a8), enables comparison between model predicted and measured values for key variables. Key references relating to the model and data sets are provided under Related Links. A description of selected terms and outcomes of regression analysis between values predicted by the model and observed values are provided under Supporting Files.
Version 3 includes the following amendments: (1) to WNRA0103 – alignment of settings for irrigation simulation control and initial soil water contents for soil layers with those in WNRA0305 and WNRA0506, and addition of missing berry anthocyanin data for season 2002-03; (2) to WNRA0305 - minor corrections to values for berry and bunch number and weight, and correction of target Brix value for harvest to 24.5 Brix; (3) minor corrections to some measured berry anthocyanin concentrations as mg/g fresh weight; minor amendments to treatment names for consistency across data sets, and to the name for irrigation type to improve clarity; and (4) update of regression analysis between VineLOGIC-predicted versus observed values for key variables.less
Legacy data - - Published 14 Jan 2021
VineLOGIC View is an interactive web application developed to assist visualisation of outputs from the 'VineLOGIC Grapevine Growth and Development Model' (see Related Links). It enables comparisons o... moref model predicted outputs with measured outputs from 'VineLOGIC Experimental Data Sets' (see Related Links), a group of three data sets involving three grapevine varieties and a range of deficit irrigation and pruning treatments obtained during 2000-2006 at a commercial vineyard near Mildura, Victoria, Australia. Outputs are shown in table and graph formats, including time series graphs for selected key parameters. Supporting information, including an introduction to VineLOGIC View and commentary on the key outputs are provided. less
VineLOGIC is a model of grapevine growth and development. It integrates the influence of climate, soil water and salt balance on growth and yield. It operates at a point scale and uses a daily time st... moreep, requiring historical daily weather data from the closest station as inputs. Source code released through this publication underpins separate software with capacity to vary inputs and run simulations. Inputs include the amount and salinity of irrigation water, the way in which the irrigation is applied, e.g. full or partial ground cover, and key components of a typical vineyard, e.g. wine grape variety and rootstock type, pruning and trellis system type, soil type, vine carbohydrate reserve and depth to watertable at the start of the season, groundwater salinity, root zone salinity at simulation start time and mid-row floor management, such as presence or absence of a cover crop. Outputs include key phenology dates, for example, budburst, flowering, veraison and harvest time, growth parameters such as leaf area index and weights of dormant pruning wood, bunch number and yield per vine, berry number per bunch, berry attributes at harvest plus all key parameters of soil water and salt balance, e.g. total evapotranspiration, vine water uptake, surface soil water evaporation, irrigation added, drainage and water stress indices if water deficits occurred at specific growth stages. While the model has access to a wide range of regional climate data and vineyard soil types, climate data for just one region (Mildura, Victoria) and one soil type are intended to be provided through experimental data sets to be published separately in Data Access Portal for running with a test script included in the current collection. Similarly, while the model has access to a range of wine grape varieties and rootstock types, only a limited number are intended to be provided for running with this test script.less
Legacy data - - Published 07 May 2020
Supporting 16S and ITS Illumina MiSeq data for the paper "Vineyard soil microbiome composition related to rotundone concentration in Australian cool climate ‘peppery’ Shiraz grapes" by Vadakattu et al... more.less
AWRI: Rotundone - - Published 26 Feb 2019