Literature DB >> 20403134

Objective sperm motion analysis to assess dairy bull fertility using computer-aided system--a review.

P Kathiravan1, J Kalatharan, G Karthikeya, K Rengarajan, G Kadirvel.   

Abstract

Motility is one of the most important characteristics associated with the fertilizing ability of spermatozoa and is an expression of their viability and structural integrity. Computer-assisted semen analyser (CASA) provides precise and accurate information on different sperm motion characteristics. This article reviews various aspects of computer-aided motility analysis of bull sperm like sample preparation, standardization of instrument settings, importance of various motility parameters evaluated by the system and its impact on basic functional studies of spermatozoa. It gives special emphasis to various aspects of bull sperm motion analysis especially sub-populations of spermatozoa, hyper-activation, motion characteristic in different genetic and age groups, etc. and their utility in predicting the fertility of dairy bulls. The need to fill the gap in research and the necessity of universal standardization of the equipment has been discussed.
© 2010 Blackwell Verlag GmbH.

Mesh:

Year:  2011        PMID: 20403134     DOI: 10.1111/j.1439-0531.2010.01603.x

Source DB:  PubMed          Journal:  Reprod Domest Anim        ISSN: 0936-6768            Impact factor:   2.005


  15 in total

Review 1.  Considerations of viscosity in the preliminaries to mammalian fertilisation.

Authors:  Ronald H F Hunter; P Coy; J Gadea; D Rath
Journal:  J Assist Reprod Genet       Date:  2011-01-14       Impact factor: 3.412

2.  Sperm DNA methylation patterns at discrete CpGs and genes involved in embryonic development are related to bull fertility.

Authors:  Miriama Štiavnická; Aurélie Chaulot-Talmon; Jean-Philippe Perrier; Petr Hošek; David A Kenny; Patrick Lonergan; Hélène Kiefer; Sean Fair
Journal:  BMC Genomics       Date:  2022-05-18       Impact factor: 4.547

3.  Assessment of motion and kinematic characteristics of frozen-thawed Sirohi goat semen using computer-assisted semen analysis.

Authors:  Mukul Anand; Sarvajeet Yadav
Journal:  Vet World       Date:  2016-02-20

Review 4.  Protein biomarkers for male artificial insemination subfertility in bovine spermatozoa.

Authors:  Hiroshi Harayama; Kenta Minami; Kazumi Kishida; Taichi Noda
Journal:  Reprod Med Biol       Date:  2017-03-20

5.  Comparison of sperm subpopulation structures in first and second ejaculated semen from Japanese black bulls by a cluster analysis of sperm motility evaluated by a CASA system.

Authors:  Chihiro Kanno; Kentaro Q Sakamoto; Yojiro Yanagawa; Yoshiyuki Takahashi; Seiji Katagiri; Masashi Nagano
Journal:  J Vet Med Sci       Date:  2017-06-18       Impact factor: 1.267

6.  Reconsideration of the evaluation criteria for bull ejaculated sperm motility in the context of rotation.

Authors:  Ayano Yamada; Mitsuhiro Sakase; Moriyuki Fukushima; Hiroshi Harayama
Journal:  J Reprod Dev       Date:  2018-06-27       Impact factor: 2.214

7.  High-throughput characterisation of bull semen motility using differential dynamic microscopy.

Authors:  Alys Jepson; Jochen Arlt; Jonathan Statham; Mark Spilman; Katie Burton; Tiffany Wood; Wilson C K Poon; Vincent A Martinez
Journal:  PLoS One       Date:  2019-04-10       Impact factor: 3.240

8.  Effect of temperature and time after collection on buck sperm quality.

Authors:  Kirsten Hahn; Klaus Failing; Axel Wehrend
Journal:  BMC Vet Res       Date:  2019-10-22       Impact factor: 2.741

9.  Kinematic Sub-Populations in Bull Spermatozoa: A Comparison of Classical and Bayesian Approaches.

Authors:  Luis Víquez; Vinicio Barquero; Carles Soler; Eduardo R S Roldan; Anthony Valverde
Journal:  Biology (Basel)       Date:  2020-06-26

10.  Cyclic AMP efflux through MRP4 regulates actin dynamics signalling pathway and sperm motility in bovines.

Authors:  Nicolás Chiarante; Carlos A I Alonso; Jessica Plaza; Raquel Lottero-Leconte; Camila Arroyo-Salvo; Agustín Yaneff; Claudia E Osycka-Salut; Carlos Davio; Marcelo Miragaya; Silvina Perez-Martinez
Journal:  Sci Rep       Date:  2020-09-24       Impact factor: 4.379

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