New objective measurements of semen wave motion are associated with fertility in sheep

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Title: New objective measurements of semen wave motion are associated with fertility in sheep
Authors: David, I
Kohnke, P
Fehrenbach, J
Lopes Simoes, MR
Debreuve, E
Descombes, X
Plouraboué, F
Degond, P
Druart, X
Item Type: Journal Article
Abstract: In sheep, wave motion in semen is currently used by AI centres to select ejaculates for insemination. Despite its low cost, convenience and established ability to predict fertility, the subjectivity of this assessment is a limiting factor for its applicability. The aims of the present study were to establish an objective method for the analysis of wave motion and to assess the associations of objective parameters with fertility after cervical insemination. Collective sperm motion in undiluted semen was observed by phase contrast microscopy at low magnification in a 100-µm deep glass chamber. Images of moving dark waves over a grey background were recorded and analysed by the optic flow method, producing several velocity-related parameters. Turbulence was assessed from the motion of fluorescent polystyrene beads. Among objective parameters, optical flow entropy and the average speed of beads were both able to discriminate ejaculates suitable for insemination. Two synthetic variables of optic flow and bead motion and a global objective variable were computed from linear combinations of individual parameters and compared with the subjective motion score for their predictive value. These were as efficient as the wave motion score for assessing fertility and can be proposed for the assessment of ram semen in routine AI procedures.
Issue Date: 8-Mar-2018
Date of Acceptance: 9-Jan-2018
URI: http://hdl.handle.net/10044/1/55835
DOI: https://dx.doi.org/10.1071/RD17472
ISSN: 1031-3613
Publisher: CSIRO Publishing
Start Page: 889
End Page: 896
Journal / Book Title: Reproduction, Fertility and Development
Volume: 30
Issue: 6
Copyright Statement: © 2018 CSIRO Publishing
Sponsor/Funder: The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: WM130048
EP/M006883/1
Keywords: Science & Technology
Life Sciences & Biomedicine
Developmental Biology
Reproductive Biology
Zoology
fertility
mass motility
sperm
ram
ARTIFICIAL-INSEMINATION
SPERM MOTILITY
DAIRY BULLS
PREDICTION
QUALITY
11 Medical And Health Sciences
06 Biological Sciences
07 Agricultural And Veterinary Sciences
Obstetrics & Reproductive Medicine
Publication Status: Published
Appears in Collections:Mathematics
Applied Mathematics and Mathematical Physics
Faculty of Natural Sciences



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