MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees.

We present a one-year-long multi-sensor dataset collected from honey bee colonies (Apis mellifera) with rich phenotypic measurements. Data were collected non-stop from April 2020 to April 2021 from 53 hives located at two apiaries in Québec, Canada. The sensor data included audio features, temperature, and relative humidity.

Observation of Genetic Gain with Instrumental Insemination of Honeybee Queens.

Controlling mating in the honeybee () is part of one of the greatest challenges for the beekeeping industry's genetic selection programs due to specific characteristics of their reproduction. Several techniques for supervising honeybee mating with relative effective control have been developed over the years to allow honeybee selection. As part of this project, we compared the genetic gains for several colony performance traits, obtained using the BLUP-animal method, according to the selection pressure applied in controlled reproduction (directed fertilization versus instrumental insemination).

Genetic Parameters of Honey Bee Colonies Traits in a Canadian Selection Program.

Genetic selection has led to spectacular advances in animal production in many domestic species. However, it is still little applied to honey bees (), whose complex genetic and reproductive characteristics are a challenge to model statistically. Advances in informatics now enable creation of a statistical model consistent with honey bee genetics, and, consequently, genetic selection for this species.