Training method for odor discrimination based on flapping reflex of bees to electric shock

A technology for learning and training honeybees, which is applied in animal husbandry and other fields, and can solve problems such as inconvenient operation

Inactive Publication Date: 2009-12-23
KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the bee olfactory conditioning method in the world mainly adopts the reward conditioning paradigm based on the bee protruding response. In this method, the bees must be fixed and fed regularly to ensure that they are in a certain hungry state before training, which brings potential applications in the future. operational inconvenience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Training method for odor discrimination based on flapping reflex of bees to electric shock
  • Training method for odor discrimination based on flapping reflex of bees to electric shock
  • Training method for odor discrimination based on flapping reflex of bees to electric shock

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] 1. Catch the bees at the mouth of the hive, put them in ice for 1-2 minutes and wait for the bees to be anesthetized, then transfer the bees to a special electric cage (such as figure 2 , 3 shown), 20 to 40 bees per cage.

[0016] 2. After 1-3 hours of adaptation, put the special electric cage d containing the bees into the conditioning box c to start training. During each training session, the gas supply lasts for 10 seconds, and the electric shock starts to be applied 5 seconds after the gas supply, and lasts for 10 seconds. Train 3-5 times.

[0017] 3. When testing, give air for 10 seconds without electric shock, and record the bee's wing flapping response.

[0018] The training device is: a special electric cage d containing several freely moving bees is placed in a conditioning box c (dimensions: 14×15×20 cm), and a microphone e is placed near the electric cage to collect the bee’s wing-beating sound. A microphone is connected to a computer f to record audio i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a training method for odor discrimination based on the flapping reflex of bees to an electric shock. The method comprises the following steps: 1) capturing bees, placing the bees in ice for anesthetization for1 to 2 minutes, and then transferring the bees to tailor-made electric cages by 20 to 40 bees per cage; accommodating for 1 to 3 hours, placing the tailor-made electric cages loaded with the bees in a gas-passage chamber and starting training, wherein, the gas supply lasts 10 seconds, and the electric shock is given 5 seconds after the gas supply and lasts 10 seconds for each training, and conducting the training for the next time after an interval of 20 to 30 minutes, and training each cage of bees for 3 to 5 times; and 3) recording the flapping reflex of the bees upon the gas supply which lasts 10 seconds without electric shock in the detection. The training method of the invention can effectively train the bees to establish the flapping reflex, particularly, the trained bees have the flapping reflex when smelling characteristic odor, in this way, the invention can provide assistance in various operations involving national defense and civil security, such as characteristic odor detection, drug and explosive enforcement, exit-entry security inspection and the like.

Description

technical field [0001] The invention relates to the technical field of characteristic odor detection, in particular to a method for learning and training honeybees in response to electric shock and wing flapping. Background technique [0002] Honey bees have excellent sense of smell and outstanding ability of learning and memory. Through training, they can associate memory with specific odor and reward and punishment stimuli, that is, establish conditioning, and generate behavioral responses. At present, the bee olfactory conditioning method in the world mainly adopts the reward conditioning paradigm based on the bee protruding response. In this method, the bees must be fixed and fed regularly to ensure that they are in a certain hungry state before training, which brings potential applications in the future. Operational inconvenience. Contents of the invention [0003] The purpose of the present invention is to provide a kind of smell learning training method based on h...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): A01K67/033
Inventor 何静刘畅汤宝华月峰付翔谭恒马原野
Owner KUNMING INST OF ZOOLOGY CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap