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Veterinary Medicine International
Volume 2011, Article ID 436381, 6 pages
http://dx.doi.org/10.4061/2011/436381
Research Article

Use of Bayesian Inference to Correlate In Vitro Embryo Production and In Vivo Fertility in Zebu Bulls

1Department of Animal Reproduction and Veterinary Radiology, School of Veterinary Medicine and Animal Science, São Paulo State University, 18618-000 Botucatu, SP, Brazil
2Department of Surgical Clinics and Animal Reproduction, School of Odontology, São Paulo State University, 16050-680 Araçatuba, SP, Brazil
3Department of Statistics, São Carlos Federal University, 13565-905 São Carlos, SP, Brazil
4Embrapa Pecuária Sudeste, 13560-970 São Carlos, SP, Brazil

Received 10 December 2010; Accepted 27 February 2011

Academic Editor: Lorraine M. Sordillo

Copyright © 2011 Mateus José Sudano et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Leticia Zoccolaro Oliveira, Rubens Paes de Arruda, Andre Furugen Cesar de Andrade, Eneiva Carla Carvalho Celeghini, Ricarda Maria dos Santos, Marcelo Emilio Beletti, Rogerio Fonseca Guimaraes Peres, Clara Slade Oliveira, and Vera Fernanda Martins Hossepian de Lima, “Assessment of field fertility and several in vitro sperm characteristics following the use of different Angus sires in a timed-AI program with suckled Nelore cows,” Livestock Science, vol. 146, no. 1, pp. 38–46, 2012. View at Publisher · View at Google Scholar
  • Leticia Zoccolaro Oliveira, Rubens Paes de Arruda, Andre Furugen Cesar de Andrade, Eneiva Carla Carvalho Celeghini, Pablo Daniel Reeb, Joao Paulo Nascimento Martins, Ricarda Maria dos Santos, Marcelo Emilio Beletti, Rogerio Fonseca Guimaraes Peres, Fabio Morato Monteiro, and Vera Fernanda Martins Hossepian de Lima, “Assessment of in vitro sperm characteristics and their importance in the prediction of conception rate in a bovine timed-AI program,” Animal Reproduction Science, vol. 137, no. 3-4, pp. 145–155, 2013. View at Publisher · View at Google Scholar
  • Arpana Verma, Sandeep Rajput, Sachinandan De, Rakesh Kumar, Atish Kumar Chakravarty, and Tirtha Kumar Datta, “Genome wide profiling of sperm DNA methylation in relation to buffalo (Bubalus bubalis) bull fertility,” Theriogenology, 2014. View at Publisher · View at Google Scholar
  • Uğur Şen, “Effects of sperm from different bulls on developmental competence, blastosist quality and cell number of bovine embryos in vitro,” Kafkas Universitesi Veteriner Fakultesi Dergisi, vol. 21, no. 3, pp. 339–344, 2015. View at Publisher · View at Google Scholar
  • Suzane Peres Campanholi, Fabio Morato Monteiro, Erika Aline Ribeiro Dias, Maria Eugênia Zerlotti Mercadante, Claudia Cristina Paro de Paz, José Antonio Dell’Aqua Junior, Frederico Ozanam Papa, Camila de Paula Freitas Dell’Aqua, Roberta Vantini, and Joaquim Mansano Garcia, “Effect of seminal plasma removal prior to cryopreservation of bovine semen obtained by electroejaculation on semen quality and in vitro fertility,” Theriogenology, 2016. View at Publisher · View at Google Scholar
  • A. Kumaresan, Anders Johannisson, Essraa M. Al-Essawe, and Jane M. Morrell, “Sperm viability, reactive oxygen species, and DNA fragmentation index combined can discriminate between above- and below-average fertility bulls,” Journal of Dairy Science, 2017. View at Publisher · View at Google Scholar
  • Lucas Bernardes Ribeiro, Clara Slade Oliveira, Erika Aline Ribeiro Dias, Maiana Visoná de Oliveira, Fabio Morato Monteiro, Letícia Zoccolaro Oliveira, Luiz Gustavo Teodoro da Silva, Suzane Peres Campanholi, and Carla Cristian Campos, “Assessment of different in vitro sperm challenges and in vivo fertility of bovine semen batches,” Brazilian Journal of Veterinary Research and Animal Science, vol. 54, no. 3, pp. 264–276, 2017. View at Publisher · View at Google Scholar