New Zealand Plant Protection 65 (2012): 241-248
Quantifying botrytis bunch rot (BBR) in vineyards is essential to the New Zealand wine industry. Simple random sampling (SRS), inverse sampling (IS) and adaptive cluster sampling (ACS) were compared using simulated disease incidence at two levels (1% and 3%), three clustering factors (random, low and high), and small (100 bays) or large (2500 bays) vineyard sizes. Sampling relative efficiency (re) was highest using ACS when disease was highly clustered at low incidence. Inverse sampling was investigated by repeatedly sampling from the simulated vineyards, which resulted in total sample number and variance of IS being greatest in highly clustered BBR at low incidence. IS resulted in a lower final sample number with less variance than ACS using simulated BBR that was randomly dispersed at 3%. IS or SRS using a sample size calculated from desired sample confidence can provide practical and accurate botrytis bunch rot sampling for disease management decision support.
Keywords: disease survey, botrytis bunch rot, survey efficiency, adaptive sampling.
|Tools for accurate assessment of botrytis bunch rot (Botrytis cinerea) on wine grapes|
G.N. Hill, R.M. Beresford and K.J. Evans (2010)
New Zealand Plant Protection 63: 174-181
Copyright © 2012 New Zealand Plant Protection Society (Inc.).