English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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.

proceedings of the new zealand weed and pest control conference/new zealand plant protection/proceedings of the ... national weeds conference/proceedings of the new zealand weed control conference/proceedings of the new zealand plant protection conference

Comparison of sampling procedures for estimating botrytis bunch rot incidence in New Zealand vineyards