NVVE107 Vineyard hygiene and leafroll virus - NZW Fact Sheet
New Zealand winegrowers (Co-funded by MAF Sustainable Farming Fund)
Mealybugs infected with Grapevine Leafroll-associated Virus 3 (GLRaV-3) can be blown into vineyards or enter on people, vehicles and machinery.
Hygiene measures should be incorporated into day-to-day management of the vineyard to prevent the introduction of virus and its spread.
There are four main components of hygiene: (1) start work in clean areas, (2) restrict vineyard access, (3) establish sanitation guidelines, and (4) follow disinfestation procedures for people and machinery before they enter the vineyard.
NZVE 107 Vineyard Hygiene (323 KB)
NZVIT100 Mothballing Vines
New Zealand Winegrowers
- Focus on minimising vine management inputs – you want to reduce costs but retain vine strength and health.
- Powdery mildew control is essential, and downy mildew control is important in northern regions.
- You can mothball all or part of the vineyard.
- The vineyard must still be able to return to commercial cropping in the future.
- The shorter the term of mothballing, the easier it is to manage for full and rapid recovery.
NZVIT100 Mothballing vines (131 KB)
NZVIT101 Hitting vintage targets
New Zealand Winegrowers
This fact sheet provides information on the anticipated industrywide grape intake and wine production to achieve balance with profi table market demand, and discusses options for achieving vintage targets.
NZVIT 101 Hitting Vintage Targets (63 KB)
30 Jun 2007
Grape yield assessment (Focus Vineyard project)
M Greven et al. Plant and Food Research
Accuracy of yield forecasting continues to be a problem. Different methods of assessing yield were trialled in this study.
The Forecaster model, used by some major wineries, was tested for the first two years. It required a lot of effort to collect the data at various growing stages through the season yet, in some cases, the predicted yield had a large standard deviation (too large for practical use).
Yield assessing is a numbers game and consistency of data collection is paramount, it was proven that two field workers produced quite different yield predictions using the same model. Models were also exercised at Field Days where growers were provided with basic instructions and methods in Grape Yield Assessment applications and results were also variable. Over the course of years it will become clear that there is a certain amount of loss/non-pick at harvest (we all know about the fruit around the posts). Again this figure can initially be set at 5% loss but will have to be adjusted over years of monitoring to more accurately reflect your operation.
Yield Assessment-4 (1368 KB)