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Collection and Identification of Pollen from Honey Bee Colonies

Collection and Identification of Pollen from Honey Bee Colonies

Published on: January 19, 2021

Separating morphologically similar pollen types using basic shape features from digital images: A preliminary

Katherine A Holt¹, Mark S Bebbington¹

¹Institute of Agriculture and Environment, Massey University, Private Bag 11222, Palmerston North 4442, New Zealand.

Applications in Plant Sciences

|September 10, 2014

Summary

This summary is machine-generated.

Automated palynology using the Classifynder system revealed overlap in pollen morphology between Leptospermum scoparium and Kunzea ericoides. Multivariate analysis offered the best discrimination, though further work is needed for routine separation of these key honey industry species.

Keywords:

Classifynder Kunzea ericoides Leptospermum scoparium Myrtaceae automated palynology geometric features pollen morphology

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Area of Science:

Palynology
Botany
Agriculture

Background:

Automated palynology systems enhance observation counts, crucial for quantifying variation in closely related pollen types.
Myrtaceae species Leptospermum scoparium and Kunzea ericoides are significant in the New Zealand honey industry.

Purpose of the Study:

To investigate pollen morphological variation between L. scoparium and K. ericoides using an automated palynology system.
To assess the degree of overlap in pollen shape and size between these two economically important species.

Main Methods:

Utilized the Classifynder automated palynology system.
Extracted seven geometric features from digital images of L. scoparium and K. ericoides pollen.
Applied multivariate statistical analysis to characterize and discriminate between the pollen types.

Main Results:

A degree of overlap in pollen morphology was observed across all measured features.
Maximum Feret diameter (MFD) in polar view showed the narrowest overlap.
Multivariate analysis incorporating all seven features provided the most effective discrimination between the two species.

Conclusions:

Current automated palynology approaches show potential but require further refinement for routine separation of L. scoparium and K. ericoides pollen.
Development of comprehensive reference distributions for these pollen types is essential for practical application.