(Podcast) Episode 017: Forages and Hay Production

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What does forage production look like in Montana? The AgEconMT crew chats with Dr. Emily Glunk, assistant professor and forage extension specialist in the Department of Animal and Range Sciences, about forage production in Montana. Here are some of the highlights:

Intro: What is going on in forages?

Minute 3: Tell us a little about your hay storage study.

Minute 4:40: Why should a producer care about their hay storage? 

Minute 6:10: What is some advice you have for someone who is thinking about getting into cover crop production?

Minute 8: How have stocking rates changed over time/why should producers be paying attention to that?

Minute 10: How quickly does efficiency drop when the stocking rate is exceeded?

Minute 12:30: What kind of things should we know about high quality hay?

Minute 15:45: How common is it for people to use hay testing?

Minute 16:50: What are some indicators of low quality hay?

Minute 18: What are some other “hot topics” in hay and forage production?

Minute 20:20: What is a high preforming variety? Why are variety trials important? 

Minute 22: What advice would you give to someone who might be considering getting out of their line of production due to low prices?

Minute 24:15: What does the hay market look like in 2017 and going forward?

(Intro and outro music by Trevor Sensor)

(Photo by Viktor_U_Cat is licensed under CC BY 4.0)

(Photo by FranksWorldPics is licensed under CC BY 4.0)

(Photo by Infomastern is licensed under CC BY 4.0)


About Author

Eric Belasco

Eric Belasco is an Associate Professor in the Department of Agricultural Economics and Economics at Montana State University. He received both his M.S. and Ph.D. in Economics from North Carolina State University in 2005 and 2007, respectively. He conducts research in the areas of agricultural marketing, risk management, farm policy, and financial engineering. Examples of this research include evaluations into grid pricing risk, the use of forward contracts in mitigating profit risk, modeling revenue risk in cattle production, and characterizing the link between weather and production indicators.

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