ArticleJournal of economic entomology2024
Providing rigor in bee colony strength auditing methods.
Article in Journal of economic entomology, 2024. 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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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.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The primary method used to audit honey bee (Apis mellifera Linnaeus, 1758 [Hymenoptera: Apidae]) colony strength for almond pollination services, Nasr et al.'s (1990) frame-top cluster count method, is a subjective visual audit that relies on an auditor's spot assessment and may lack rigor and repeatability. We created novel, open-source software for the analysis of frame-top cluster count photographic assessments to improve methodological rigor and repeatability. We evaluated 2 existing visual audit methods, created 3 novel audit method variations, and determined between-method conversion factors using linear modeling. The software has potential applications in apiological research, apiarist and orchardist colony auditing, as well as training future generations of apiarists in auditing techniques. The software enhances the rigor and repeatability of Nasr et al.'s (1990) frame-top cluster count population assessment. In this article, we introduce the novel open-source software and between-method regression equations and review the tested visual assessment methods and their application.
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Registered trials
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