用Cyranose 320鼻技术对蜂王条件的初步研究

G. Johnson, Drashti Patel, Adel Alluhayb, Nannan Li, Chi Shen, T. Webster
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摘要

在过去的十年里,养蜂业一直在努力理解和阻止蜂群的突然广泛损失或崩溃,统称为蜂群衰竭失调(CCD),在美国和世界各地。虽然蜂群经历了许多可能导致蜂群崩溃的压力因素,但我们关注的是蜂王的质量、健康和繁殖能力。这项研究的目的是确定蜂王的信息素特征和蜂王的质量之间的关系。这项研究的最终目标是找到一种可靠的,非侵入性的工具,不伤害蜂王,但仍然允许养蜂人做出明智的决定,购买蜂王,并决定何时更换蜂王,以免蜂群崩溃。在这一部分的研究中,我们使用了电子鼻(e-nose)设备,这是一种将气味数字化的设备。本文的范围是确定电子鼻设备是否适用于我们的研究,如果可行,则确定配置设置以改进数据收集的最佳方法。此外,还考虑了收集蜂王信息素产生的数据,因为这是蜂王繁殖能力的一个指标。我们能够使用电子鼻设备将20只蜂王的信息素特征数字化。使用微软excel和R编程语言,我们能够看到在配置电子鼻设备为未来的研究有用的模式。我们还注意到一个早期的迹象,即电子鼻可以区分健康的蜜蜂和生病的蜜蜂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preliminary studies of honey queen bee conditions using Cyranose 320 nose technology
Over the last ten years, the bee keeping industry has been struggling to understand and stop the sudden widespread loss or collapse of honey bee colonies, known collectively as Colony Collapse Disorder (CCD), in the U.S. and around the world. While honey bee colonies experience many stressors that could cause a colony to collapse, we are focusing on the quality, health and reproductive ability of honey bee queens. The purpose of this line of research is to identify relationships between the pheromone signatures of honey bee queens and the quality of honey bee queens. The ultimate goal of this research is to find a reliable, non-invasive tool that does not harm the queen, but still allows beekeepers to make informed decisions about purchasing honey bee queens and deciding when to replace a queen bee before a colony collapses. In this portion of the research, we use an electronic nose (e-nose) device, which is a device that digitizes smells. The scope of this paper is to determine whether an e-nose device is viable for our research, and if so, to determine the best way to configure the settings to improve data collection. Also, to gather data on queen bee pheromones production was considered since that is an indicator of a queen bee's reproductive ability. We were able to use the e-nose device to digitize pheromone signatures from 20 queen bees. Using Microsoft excel and R programming language, we were able to see patterns that will be useful in configuring the e-nose device for future research. We also noticed an early indication that the e-nose can distinguish between a healthy bee and a sick bee.
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