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York University

Uncovering Markers for Honey Production and Defensive Behaviour Using Pooled Genome-Wide Data with the Honeybee (Apis Mellifera)

Abstract

dc:description.abstract

The honeybee (Apis mellifera) has been an important insect for both the study of social insect behaviour and agriculture. Honey production and defensive behaviour are honeybees two notable and economically valuable traits. Here we perform a genome-wide association study on 925 honeybee colonies from across Canada to elucidate the genetics of these two traits. We find that 168 SNPs for honey production and 41 SNPs for defensive behaviour are significantly associated with their respective phenotypes. Moreover, using genome-wide data, we achieved a predictive performance for honey production of Rsq= 27.1% and for defensive behaviour an accuracy of 77.5%. My research shows how genome-wide data can be used both for understanding the genetics of honey production and defensive behaviour in honeybees and for predicting the phenotypes of individual colonies using machine learning techniques.

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rose, Stephen Anthony
Advisor dc:contributor.advisor
  • Zayed, Amro

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • Author owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10315/35793
OAI identifier oai:identifier
oai:yorkspace.library.yorku.ca:10315/35793

Chain of custody

source
Harvested from
York University
Base URL
yorkspace.library.yorku.ca/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Rose, Stephen Anthony. Uncovering Markers for Honey Production and Defensive Behaviour Using Pooled Genome-Wide Data with the Honeybee (Apis Mellifera). 2019. http://hdl.handle.net/10315/35793