Each different management practice causes many changes to beef production systems. Therefore, the key to success is to identify the ones that cause problems and the ones that better improve the production, sustainability, and profitability of the system. In this episode, Dr. Phillip Lancaster shares his knowledge and experience of doing association models with large data sets and predictive models with softwares. He provides his expert opinion about the pros and cons of those types of systems and the still unexploited possibilities of these models.

"It is pretty interesting that we can employ different management practices at the same time and see the interaction among different changes." – Dr. Phillip Lancaster

What you’ll learn:

• Highlight (00:00)
• Introduction (0:40)
• Beef Cattle Institute of the Kansas State University (2:39)
• Big data collection project (4:30)
• Important factors to be identified on large data sets (5:37)
• Challenges that cause negative impacts in the future (11:18)
• Liver abscesses (14:45)
• Cow herd simulation software (25:48)
• The use of simulation softwares to evaluate possible improvements in sustainability (34:03)
• Other podcasts that Dr. Lancaster is currently involved with (39:35)
• Final questions (40:49)

Meet the guest: Dr. Phillip Lancaster

Experience:

• Current: Research Assistant Professor (Kansas State University)
• Past: Assistant Professor (University of Florida and Missouri State University)

Background:

• Ph.D., Animal Science (Texas A&M University)
• M.Sc., Animal Science (University of Missouri)
• B.S., Agricultural Science (Western Illinois University)

Connect with the guest on Social Media: LinkedIn

𝗟𝗶𝘀𝘁𝗲𝗻 𝗼𝗻 𝗔𝗽𝗽𝗹𝗲 𝗣𝗼𝗱𝗰𝗮𝘀𝘁𝘀, 𝗦𝗽𝗼𝘁𝗶𝗳𝘆 𝗼𝗿 𝗮𝗻𝘆 𝗺𝗮𝗷𝗼𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺.