Assessment of in vitro sperm characteristics and their importance in the prediction of conception rate in a bovine timed-AI program

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dc.contributor.authorOliveira, Leticia Zoccolaro [UNESP]
dc.contributor.authorArruda, Rubens Paes de
dc.contributor.authorCesar de Andrade, Andre Furugen
dc.contributor.authorCarvalho Celeghini, Eneiva Carla
dc.contributor.authorReeb, Pablo Daniel
dc.contributor.authorNascimento Martins, Joao Paulo
dc.contributor.authorSantos, Ricarda Maria dos
dc.contributor.authorBeletti, Marcelo Emilio
dc.contributor.authorGuimaraes Peres, Rogerio Fonseca
dc.contributor.authorMonteiro, Fabio Morato [UNESP]
dc.contributor.authorMartins Hossepian de Lima, Vera Fernanda [UNESP]
dc.contributor.institutionUNIRP Ctr Univ Rio Preto
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionMichigan State University
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2014-12-03T13:11:24Z
dc.date.available2014-12-03T13:11:24Z
dc.date.issued2013-03-01
dc.description.abstractThe aims of this study were to assess in vivo fertility and in vitro sperm characteristics of different sires and to identify sperm variables important for the prediction of conception rate. Multiparous Nelore cows (n = 191) from a commercial farm underwent the same timed artificial insemination (timed-AI) protocol. Three batches of frozen semen from three Angus bulls were used (n = 9). A routine semen thawing protocol was performed in the laboratory to mimic field conditions. The following in vitro sperm analyses were performed: Computer Assisted Semen Analysis (CASA), Thermal Resistance Test (TRT), Hyposmotic Swelling Test (HOST), assessment of plasma and acrosomal membrane integrity, assessment of sperm plasma membrane stability and of lipid peroxidation by flow cytometry and assessment of sperm morphometry and chromatin structure by Toluidine Blue staining. For statistical analyses, Partial Least Squares (PLS) regression was used to explore the importance of various sperm variables in the prediction of conception rate. The following in vitro sperm variables were determined to be important predictors of conception rate: total motility (TM), progressive motility (PM), TM after 2 h of thermal incubation (TM_2 h), PM after 2 h of thermal incubation (PM_2 h), Beat Cross Frequency after 2 h of thermal incubation (BCF_2 h), percentage of rapidly moving cells after 2 h of thermal incubation (RAP_2 h), intact plasma membrane evaluated by HOST, intact plasma and acrosomal membranes evaluated by flow cytometry, intact plasma membrane suffering lipid peroxidation, major defects, total defects, morphometric width/length ratio, Fourier_0 and Fourier_2 and Chromatin Heterogeneity. We concluded that PLS regression is a suitable statistical method to identify in vitro sperm characteristics that have an important relationship with in vivo bull fertility. (C) 2013 Elsevier B.V. All rights reserved.en
dc.description.affiliationUNIRP Ctr Univ Rio Preto, Dept Anim Reprod, BR-15093450 Sao Jose Do Rio Preto, SP, Brazil
dc.description.affiliationUniv Estadual Paulista, Sch Agrarian Sci & Vet Med, Dept Prevent Vet Med & Anim Reprod, BR-14884900 Jaboticabal, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Sch Vet Med & Anim Sci, BR-13630000 Pirassununga, SP, Brazil
dc.description.affiliationMichigan State Univ, Sch Anim Sci, E Lansing, MI 48824 USA
dc.description.affiliationUniv Fed Uberlandia, Sch Vet Med, BR-38400902 Uberlandia, MG, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Sch Agrarian Sci & Vet Med, Dept Prevent Vet Med & Anim Reprod, BR-14884900 Jaboticabal, SP, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.format.extent145-155
dc.identifierhttp://dx.doi.org/10.1016/j.anireprosci.2013.01.010
dc.identifier.citationAnimal Reproduction Science. Amsterdam: Elsevier Science Bv, v. 137, n. 3-4, p. 145-155, 2013.
dc.identifier.doi10.1016/j.anireprosci.2013.01.010
dc.identifier.issn0378-4320
dc.identifier.urihttp://hdl.handle.net/11449/113079
dc.identifier.wosWOS:000316511700003
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofAnimal Reproduction Science
dc.relation.ispartofjcr1.647
dc.relation.ispartofsjr0,704
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectConception rateen
dc.subjectPartial Least Squaresen
dc.subjectSemen fertilityen
dc.subjectSperm characteristicsen
dc.titleAssessment of in vitro sperm characteristics and their importance in the prediction of conception rate in a bovine timed-AI programen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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