Latest News


07.20.21 - Rock River Laboratory's 45th Anniversary and New Video

Get to know us, and help us celebrate 45 years in business! We've put together a little behind-the-scenes video to showcase what's important to us, even after 45 years. Check it out on our YouTube channel here.


06.11.21 - New Data Distillation Published

A new Data Distillation - insights using our vast database of feedstuff information - is now available! Learn more about the new season forages from team member Katie Raver as she walks through various data plots, here.


06.04.21 - On the blog: The Feed Hygiene Trap in Transition Cows

Check out the latest blog post from team member Katie Raver, animal nutrition and field support specialist, offering opportunities to avoid feed ygiene challenges in transition cows. Read more here.


05.20.21 - New Horse Legume Hay and Grass Hay Quality Guidelines

Legume hay and grass hay quality guidelines for horses have been prepared by expert team member Katie Raver. These values are a useful tool that can be used by an equine nutritionist in helping to formulate a balanced ration for your horse. These guidelines can be reviewed here


05.05.21 - On the blog: Four Opportunities to Best Manage Nitrogen

Check out the latest blog post from team member Dustin Sawyer, laboratory director, discussing the keys to every fertilization strategy: nitrogen management. Read more here.


04.15.21 - On the blog: Making the Most of Spring Grazing

Check out the latest blog post from team member Katie Raver, animal nutrition and field support specialist, offering tips on the best way to manage pastures and grazing for maximizing cattle potential. Read more here.


03.30.21 - New RUP by NIR - An accurate new model for Rumen Undegraded Protein (RUP) by Near Infrared (NIR) is now available

The Rock River Laboratory team has created a new model to accurately measure RUP by NIR. Previously only available by wet chemical analysis, this measure is now available as part of the Comprehensive Commodities by NIR package. The price of this package remains the same while providing additional information and exceptional value via RUP percentages for samples run under it. 

“This new RUP by NIR analysis is a testament to Rock River Laboratory’s commitment to years of accurate wet chemistry. The NIR performance statistics are very similar to in situ rumen starch digestibility,” says John Goeser, our animal nutrition, research and innovation director. 

Those customers looking for guidelines for RUP by NIR can look to the in situ Rumen Undegraded Protein (RUP) and Dry Matter Digestion (DMD) Guidelines for Commercial Feeds. Choose the Comprehensive Commodities by NIR package on your next sample to see RUP percentages by NIR on your report.


03.23.21 - New Data Distillation Published

A new Data Distillation - insights using our vast database of feedstuff information - is now available! Learn more about starch digestibility trends from team member Cliff Ocker as he walks through various data plots, here.


02.10.21 - On the blog: Four Questions to Ask Your Agronomist Before Soil Sampling

Check out the latest blog post from our sampling director, Scott Fleming, with recommendations to ensure quality, representative samples are pulled for you this soil sampling season. Read more here.


02.10.21 - New Dry Ground Corn Grain Particle Size Guidelines Available

In an effort to help guide feed mills and those producers grinding their own corn, Rock River Laboratory has developed a set of dry ground corn grain particle size guidelines. These particle size guides are based on a large spread of data from an updated technique employed by Rock River Laboratory starting in May 2020 that more accurately reflects the actual particle size. Check out the guidelines and the supporting research here.


01.21.21 - New Data Distillation Published

A new Data Distillation - insights using our vast database of feedstuff information - is now available! Learn more about the corn silage 'heartbeat' from team member John Goeser as he walks through various data plots, here