Use of combinations of in vitro quality assessments to predict fertility of bovine semen

Autor: E. Schmitt, E. Sellem, M.L.W.J. Broekhuijse, L. Chevrier, S. Camugli, E.P.C. Koenen, L. Schibler
Přispěvatelé: Allice, CRV, Arnhem, IMV TECHNOLOGIES
Rok vydání: 2015
Předmět:
Male
Quality Control
medicine.medical_treatment
media_common.quotation_subject
Semen
Fertility
Fertility prediction
Semen analysis
Biology
Insemination
Sperm assessment
[SDV.BDLR.RS]Life Sciences [q-bio]/Reproductive Biology/Sexual reproduction
Andrology
03 medical and health sciences
Semen quality
Food Animals
Bovine semen
Predictive Value of Tests
[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Genomics [q-bio.GN]
Image Processing
Computer-Assisted
medicine
Animals
Flow cytometry
Small Animals
[SDV.BDD.GAM]Life Sciences [q-bio]/Development Biology/Gametogenesis
030304 developmental biology
media_common
Computer-assisted semen analysis system
0303 health sciences
medicine.diagnostic_test
urogenital system
Equine
Artificial insemination
Cell Membrane
0402 animal and dairy science
[SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology
[SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Molecular biology
04 agricultural and veterinary sciences
040201 dairy & animal science
Sperm
Semen Analysis
Cattle
Animal Science and Zoology
Oxidation-Reduction
Zdroj: Theriogenology
Theriogenology, 2015, 84 (9), pp.1447-1454.e5. ⟨10.1016/j.theriogenology.2015.07.035⟩
ISSN: 0093-691X
DOI: 10.1016/j.theriogenology.2015.07.035
Popis: International audience; Predicting in vivo fertility of bull ejaculates using in vitro-assessed semen quality criteria remains challenging for the breeding industry. New technologies such as computer-assisted semen analysis (CASA) and flow cytometry may provide accurate and objective methods to improve semen quality control. The aim of this study was to evaluate the relationship between semen quality parameters and field fertility of bull ejaculates. A total of 153 ejaculates from 19 Holstein bulls have been analyzed using CASA (postthawing semen motility and morphology) and several flow cytometric tests, including sperm DNA integrity, viability (estimated by membrane integrity), acrosomal integrity, mitochondria aerobic functionality and oxidation. Samples were analyzed both immediately after thawing and after 4 hours at 37 °C. A fertility value (FV), based on nonreturn rate at 56 days after insemination and adjusted for environment factors, was calculated for each ejaculate. Simple and multiple regressions have been used to correlate FV with CASA and flow cytometric parameters. Significant simple correlations have been observed between some parameters and FV (e.g., straight line velocity [μm/s], r(2) = -0.12; polarized mitochondria sperm (%), r(2) = 0.07), but the relation between simple parameter and FV was too week to predict the fertility. Partial least square procedure identified several mathematical models combining flow cytometer and CASA variables and had better correlations with FV (adjusted r(2) ranging between 0.24 and 0.40 [P < 0.0001], depending on the number of included variables). In conclusion, this study suggests that quality assessment of thawed bull sperm using CASA and flow cytometry may provide a reasonable prediction of bovine semen fertility. Additional work will be required to increase the prediction reliability and promote this technology in routine artificial insemination laboratory practice.
Databáze: OpenAIRE
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