The Beef Podcast Show - #11 - Navigating towards the future of beef reproduction
Feb 01, 2023
A successful breeding program depends on understanding the onset of pregnancy in beef herds. Monitoring heat cycles, observing the right timing for insemination, and identifying/addressing fertility problems are all parts of this process. Artificial Insemination (AI), for example, can increase pregnancy rates and improve genetic progress in beef herds. Indeed, the beef industry has been using reproductive technologies at an increasing rate, such as in vitro fertilization and genomic selection. In this episode, Dr. Cliff Lamb discusses how these technologies can improve breeding programs, make them more efficient and accurate, and thus, improve genetics and herd performance.
What you’ll learn:
1. The future of applied reproduction in beef
2. Pregnancy rates in beef cattle
3. Possible reasons for embryonic losses
4. Doppler ultrasound technique
5. Zinc Sparks
6. In vitro fertilization
7. The use of beef semen and, possibly, beef embryos in dairy cows
8. Sexed semen
9. Ovulation: humans and cows
Meet the guest
Dr. Cliff Lamb
Experience
â—‹ Current: Director at Texas A&M AgriLife Research
â—‹ Past: Head of Department at Texas A&M Department of Animal Science; Assistant Director and Professor at the University of Florida - NFREC; Associate Professor at the University of Minnesota.
Background
â—‹ Ph.D., Reproductive Physiology (Kansas State University)
â—‹ M.Sc., Reproductive Physiology (Kansas State University)
â—‹ B.Sc., Animal Sciences (Middle Tennessee State University)
Hobby: anything related to sports/athletics (I compete in triathlons/Ironman competitions); traveling (I like to travel to places that are more local and less targeted by tourists).
Favorite book, movie or TV series: any book by James Mitchener (my favorite one is The Covenant)
Favorite quote: Nobody cares how much you know, unless you show them how much you care – Unknown author.
A tip for success: Keep trying
Connect with our guest on Social Media: Facebook
