Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Movement Analysis to Predict Broiler Walking Ability

Version 1 : Received: 15 April 2021 / Approved: 19 April 2021 / Online: 19 April 2021 (14:17:10 CEST)

A peer-reviewed article of this Preprint also exists.

Pereira, D.F.; Nääs, I.A.; Lima, N.D.S. Movement Analysis to Associate Broiler Walking Ability with Gait Scoring. AgriEngineering 2021, 3, 394-402. Pereira, D.F.; Nääs, I.A.; Lima, N.D.S. Movement Analysis to Associate Broiler Walking Ability with Gait Scoring. AgriEngineering 2021, 3, 394-402.

Journal reference: AgriEngineering 2021, 3, 26
DOI: 10.3390/agriengineering3020026

Abstract

The genetic development of commercial broiler led to body misconfiguration and consequent walking disabilities, mainly at the slaughter age. The present study aimed to identify broiler locomotion ability using image analysis automatically. A total of 40 broiler 40 d-old were placed to walk on a specially built runway, and their locomotion was recorded. An image segmentation algorithm was developed, and the coordinates of the bird's center of mass were extracted from the segmented images for each frame analyzed, and the Unrest Index (UI) was applied. We calculated the center of mass's movement of the broiler walking's lateral images, therefore, capturing the bird's displacement speed in the onward direction. Results indicated that broiler speed on the runway tends to decrease with the increase of the gait score. The locomotion did not differ between males or females. The proposed algorithm was efficient if predicting the broiler gait score based on their displacement speed.

Subject Areas

computing image analysis; gait score; unrest index

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