Upcoming Dairy Cattle Webinars

Dairy July 07, 2016 Print Friendly and PDF

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Upcoming Webinars

These webinars are geared toward bringing pertinent information to dairy producers, extension educators, allied industry professionals, and veterinarians across the United States.

 

An Overview of Genomic Selection and Fertility

Dr. Pete Hansen, University of Florida
Release date: July 18, 2016

In this webinar, Dr. Hansen joins us to discuss genomic selection as it relates to fertility traits. Learn about single nucleotide polymorphisms (SNPs), the challenges in selecting for reproductive traits, and some of the current work in overcoming those challenges.

 

Current Research in Genomic Selection

Dr. Joe Dalton, University of Idaho
Dr. Jose Santos, University of Florida
Release Date: August 15, 2016

Drs. Dalton and Santos are each participating in research projects which are investigating the use of genomics in dairy cattle, both of which aim to improve fertility in the dairy cow. We first hear from Dr. Dalton, then Dr. Santos, on the goals and progress of their respective AFRI-funded research projects.

 


 

To Attend These Sessions:

Sessions will be recorded and archived here, to be available for those who could not attend the live session.

All of our live sessions will be conducted via Adobe Connect. To attend a live session you will need to:

  1. Go to Connect at the appointed time for the webinar you wish to attend
  2. Select "Enter as a Guest"
  3. Type your name in the box; if you are attending as part of a group, please indicate at the end of the name how many people are in the group, including yourself.
  4. Click "Enter" to join the webinar
  5. Once you enter the meeting room, the audio portion of the webinar will come through your computer speakers. All you will need to do to hear the presentation is enter the meeting room and ensure that your speakers are on.


Note: You may use this test link at any time before the meeting to confirm your computer's ability to connect to the Adobe Connect session.

 

 

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This work is supported by the USDA National Institute of Food and Agriculture, New Technologies for Ag Extension project.