Leaf area index (LAI) and plant area index (PAI) are common and important biophysical parameters used to estimate agronomical variables such as canopy growth, light interception and water requirements of plants and trees. LAI can be either measured directly using destructive methods or indirectly using dedicated and expensive instrumentation, both of which require a high level of know-how to operate equipment, handle data and interpret results. Recently, a novel smartphone and tablet PC application, VitiCanopy, has been developed by a group of researchers from the University of Adelaide and the University of Melbourne, to estimate grapevine canopy size (LAI and PAI), canopy porosity, canopy cover and clumping index. VitiCanopy uses the front in-built camera and GPS capabilities of smartphones and tablet PCs to automatically implement image analysis algorithms on upward-looking digital images of canopies and calculates relevant canopy architecture parameters. Results from the use of VitiCanopy on grapevines correlated well with traditional methods to measure/estimate LAI and PAI. Like other indirect methods, VitiCanopy does not distinguish between leaf and non-leaf material but it was demonstrated that the non-leaf material could be extracted from the results, if needed, to increase accuracy. VitiCanopy is an accurate, user-friendly and free alternative to current techniques used by scientists and viticultural practitioners to assess the dynamics of LAI, PAI and canopy architecture in vineyards, and has the potential to be adapted for use on other plants.

Background and Aims: Flowering and fruitset are principal determinants of grapevine yield. Poor fruitset is said to limit the yield of many varieties in most regions in Australia; however, there is a lack of knowledge of the reproductive performance of most varieties under Australian conditions. Methods and Results: The reproductive performance of Vitis vinifera winegrape varieties -Cabernet Sauvignon, Chardonnay, Merlot, Nebbiolo, Pinot Noir, Sangiovese, Sauvignon Blanc, Shiraz, Tempranillo, and Zinfandel -was studied in four consecutive growing seasons (commencing in 2004/05) across a range of climatic regions from cool (Adelaide Hills) to warm (Adelaide Plains). Measures of reproductive performance included flower number per inflorescence, fruitset (%), berry number per bunch, coulure index (CI), and millerandage index (MI). Principal component analysis and agglomerative hierarchical classification were used to group the varieties into three classes of reproductive performance. Conclusions: Certain varieties have a reputation of having 'poor fruitset' that has been inferred from relatively low berry number per bunch; however, for some of these varieties, it is 'low flower number per inflorescence' rather than 'poor fruitset' that is the cause of low berry number. Significance of the Study: An improved understanding of the reproductive performance of winegrape varieties has been achieved.

No abstract

Understanding how grapevines perceive and adapt to different environments will provide us with an insight into how to better manage crop quality. Mounting evidence suggests that epigenetic mechanisms are a key interface between the environment and the genotype that ultimately affect the plant’s phenotype. Moreover, it is now widely accepted that epigenetic mechanisms are a source of useful variability during crop varietal selection that could affect crop performance. While the contribution of DNA methylation to plant performance has been extensively studied in other major crops, very little work has been done in grapevine. To study the genetic and epigenetic diversity across 22 vineyards planted with the cultivar Shiraz in six wine sub-regions of the Barossa, South Australia. Methylation sensitive amplified polymorphisms (MSAPs) were used to obtain global patterns of DNA methylation. The observed epigenetic profiles showed a high level of differentiation that grouped vineyards by their area of provenance despite the low genetic differentiation between vineyards and sub-regions. Pairwise epigenetic distances between vineyards indicate that the main contributor (23–24%) to the detected variability is associated to the distribution of the vineyards on the N–S axis. Analysis of the methylation profiles of vineyards pruned with the same system increased the positive correlation observed between geographic distance and epigenetic distance suggesting that pruning system affects inter-vineyard epigenetic differentiation. Finally, methylation sensitive genotyping by sequencing identified 3,598 differentially methylated genes in grapevine leaves that were assigned to 1,144 unique gene ontology terms of which 8.6% were associated with response to environmental stimulus. Our results suggest that DNA methylation differences between vineyards and sub-regions within The Barossa are influenced both by the geographic location and, to a lesser extent, by pruning system. Finally, we discuss how epigenetic variability can be used as a tool to understand and potentially modulate terroir in grapevine.

Vitis vinifera (grapevine) is one of the most important fruit crops, both for fresh consumption and wine and spirit production. The term terroir is frequently used in viticulture and the wine industry to relate wine sensory attributes to its geographic origin. Although, it can be cultivated in a wide range of environments, differences in growing conditions have a significant impact on fruit traits that ultimately affect wine quality. Understanding how fruit quality and yield are controlled at a molecular level in grapevine in response to environmental cues has been a major driver of research. Advances in the area of genomics, epigenomics, transcriptomics, proteomics and metabolomics, have significantly increased our knowledge on the abiotic regulation of yield and quality in many crop species, including V. vinifera. The integrated analysis of multiple ‘omics’ can give us the opportunity to better understand how plants modulate their response to different environments. However, ‘omics’ technologies provide a large amount of biological data and its interpretation is not always straightforward, especially when different ‘omic’ results are combined. Here we examine the current strategies used to integrate multi-omics, and how these have been used in V. vinifera. In addition, we also discuss the importance of including epigenomics data when integrating omics data as epigenetic mechanisms could play a major role as an intermediary between the environment and the genome.

No abstract

Abstract:Indicators have been used in many sustainability assessment methods, however, disagreements over a common definition and scope for the sustainability concept have led to many distinct assessment methods, which are not often directly comparable. Before developing a sustainability assessment, it is essential to: define sustainability and specify the viewpoint of the assessor, the purpose of the assessment, and the context and time frame of the assessment. This article presents a short list of indicators and a method that can be readily adopted by any agricultural business or region to assess sustainability, making any organization, region or crop qualitatively comparable. These indicators were proposed by 83 top-level executives in 14 group interviews conducted using our adapted nominal group technique (ANGT). Executives were sourced from wine-grape growing organisations from New World wine-producing countries that also owned vineyards, and they considered everyday management practices of farms. These indicators, grouped within three categories (economic, environmental, and social) were ranked by their importance. The method defines OPEN ACCESSSustainability 2015, 7 8179 qualitative indicators that, in the context of distinct wine regions or crops should be quantified to maintain their relevance and usefulness.

Background and Aims:We investigated the effectiveness of shoot topping and 2-chlorethyltrimethylammonium chloride (CCC) application on the control of fruitset and other yield components on the grapevine varieties Cabernet Sauvignon, Chardonnay and Tempranillo at two sites over two or three seasons. Methods and Results: Treatments were applied before and during the flowering period. Fruitset and yield per vine increased in response to both shoot topping and CCC treatment, especially when shoot topping was applied between E-L stages 19 and 23, and when CCC was applied 1 week before flowering. All varieties at both locations responded to shoot topping to some degree: from 20 to 57% relative to the control for fruitset and from 16 to 97% for yield per vine. Conclusions: Fruitset, and, thus, yield, can be improved by cultural practices in all seasons, but the magnitude of the response may be greatest in those seasons when fruitset is lower than the average. Neither berry number per bunch nor the visual appearance of the bunches were reliable indicators of fruitset performance. Significance of the Study: Optimal timing of shoot topping and CCC application as cultural practices is critical to maximise the response. The 'Coulure Index' and the 'Millerandage Index', which are described for the first time, are novel and useful indicators of fruitset that have been developed to quantify the reproductive performance of grapevines. AbbreviationsCCC 2-chlorethyltrimethyl-ammonium chloride; CI Coulure Index; LGO live green ovary; MI Millerandage Index Keywords: CCC, Coulure Index (CI), fruitset, Millerandage Index (MI), shoot topping 256 Fruitset response to shoot topping and CCC