Evidence map›Paper›PMID 32500392›Full record

ArticleExperimental & applied acarology2020

Sampling, extraction and incidence of redberry mites (Acalitus essigi) on blackberries in Australia.

Hui Meng Law, Geoff R Allen, Jamie T Davies, Ross Corkrey, Michele Buntain, Stephen R Quarrell

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Article in Experimental & applied acarology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hui Meng LawTasmanian Institute of Agriculture, University of Tasmania, Hobart, Tasmania, Australia.
Geoff R AllenTasmanian Institute of Agriculture, University of Tasmania, Hobart, Tasmania, Australia.
Jamie T DaviesDepartment of Primary Industries, Parks, Water and Environment, Hobart, Tasmania, Australia.
Ross CorkreyTasmanian Institute of Agriculture, University of Tasmania, Hobart, Tasmania, Australia.
Michele BuntainTasmanian Institute of Agriculture, University of Tasmania, Hobart, Tasmania, Australia.
Stephen R QuarrellTasmanian Institute of Agriculture, University of Tasmania, Hobart, Tasmania, Australia. Stephen.Quarrell@utas.edu.au.ORCID http://orcid.org/0000-0003-1112-4140

Funding

Hort Innovation RB17000
6 · The paper itself

Abstract

'Redberry disease' on blackberries is hypothesised to be caused by the redberry mite (RBM), Acalitus essigi (Hassan), and results in uneven ripening of blackberry drupelets, which become bright red, hard and inedible. This damage has been reported to cause significant crop losses in commercial blackberry production in most regions where commercial blackberries are grown. However, RBM are difficult to detect and manage due to their tiny body size. In this study, a new 'shake and wash' extraction method has been developed, enabling faster, more accurate mite detection and quantification. The 'shake and wash' method extracted significantly more RBM and predatory mites (Phytoseiidae) than the previously recommended 'sticky tape' method, where mite extraction using this technique was increased by 53 and 60%, respectively. RBM counts were then made from the fruit of wild and commercial blackberry cultivars. Significantly higher RBM populations were isolated in cultivars 'BL454' (mean = 12.1 per fruit) and 'Chester' (mean = 2.6 per fruit) from several sites indicating potential RBM susceptibility in these cultivars. The highest levels of disease incidence and RBM numbers were observed on wild blackberry fruit. The redberry disease incidence increased from 13.5 to 44.9% as the mean population of RBM increased on wild fruit. Further methods were developed to extract mites from winter buds on canes. RBM numbers were lower in the fruit compared to winter buds. RBM detection is best achieved in winter buds rather than fruit and may be an important tool for RBM detection and subsequent management in the cropping season.

Indexed as

MitesRubusAnimalsAustraliaFruitIncidenceAcalitus essigiBlackberry cultivarsMite detectionPredatory miteSampling methods

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.