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The Beef Podcast Show

Dr. Pedro Fontes: Reproductive Technologies in Beef | Ep. 25

May 10, 2023
38:53

In today's episode, Dr. Pedro Fontes – a researcher and professor of beef cattle production and management – discusses the importance of reproductive technologies for improving the efficiency and productivity of the beef industry. He highlights the benefits of estrus synchronization programs, pre-synchronization protocols, and Doppler ultrasounds for early pregnancy diagnosis, along with the importance of assessing the value of these technologies before adopting them in specific scenarios. Additionally, Dr. Fontes emphasizes how using synchronization protocols to optimize the breeding season is key, particularly for heifers, and delves into his team's research on the effects on sperm quality of excessive body weight gain in young sires.

 

"The implementation of reproductive technologies has been a game changer for the beef industry in Brazil. It has been allowing for improved synchronization and AI protocol implementation, which can increase cow cycling rates and ultimately, profitability." – Dr. Pedro Fontes 


What you'll learn:

  • Highlight (00:00)
  • Introduction (01:01)
  • Guest’s background (04:41)
  • Brazilian vs. American beef productions: a comparison (08:59)
  • Estrus synchronization programs in Brazil (13:24)
  • Pre-synchronization protocols (18:18)
  • The Doppler ultrasound revolution (19:35)
  • The effects of excessive body weight on the reproductive performance of bulls (22:51)
  • The value and fit of reproductive technologies for optimal results (25:39)
  • Synchronization protocols in heifer development (27:10)
  • Teaching and applied research on beef production (28:09)
  • The final questions (35:00)


Meet the guest: Dr. Pedro Fontes 


Experience

  • Current: Assistant Professor at the University of Georgia


Background

  • Ph.D., Physiology of Reproduction (Texas A&M University)


Connect with our guest on Social Media: LinkedIn


𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.


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