Variable Rate Seeding Pays: Stretch More Bushels out of Every Acre

Posted by Matt Bowers on 9/2/21 9:15 AM

Variable rate seed prescriptions have been a topic of conversation since planter capabilities have increased and seed companies look to increase the value of their recommendations. Yet the farmgate, conversations have had a range of reactions to its success. 

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Topics: Precision ag, hybrid selection, variable rate, seed selection

Using Data for Hybrid and Variety Seed Selection

Posted by Dan Frieberg on 12/23/20 10:15 AM

"Part of the value of what they get in the Premier Crop program is being able to see beyond their own operations. A lot of times, hybrid and variety is the very first thing they look for."

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Topics: Farm technology, data analytics, Precision ag, Ag technology, hybrid selection, group data, benchmarking, data driven decisions, seed selection, yield efficiency, farm analytics, Farm Plan

Manage Your Seed Investment

Posted by Sarah Windhorst on 8/20/20 8:16 AM

As average farm size grows, farmers hear more and more about the data and technology available to their operation. Farm management decisions are increasingly driven by these layers of data. Yet, there is undoubtedly an emotional side to many input decisions--and for good reason. Simply put, we are all still human and crave relationship. If a world that is supposed to be in quarantine has taught us nothing else, it is the truth of that statement. The need for human interaction has and will continue to drive us to desire closeness to others. Business done without handshakes and smiles, a world where virtual meetings reign supreme, is a tricky world to navigate. As more and more buying decisions move online, how will farmers adapt?

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Topics: seed selection

Measure financial impacts of agronomic decisions

Posted by Dan Frieberg on 3/27/20 8:15 AM

In farming and a pandemic – having the right denominator matters

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Topics: data driven decisions, seed selection, yield efficiency

Using Data to Measure Hybrid and Variety Performance

Posted by Dan Frieberg on 11/21/19 8:17 AM

The age-old agronomy equation is, "Yield Equals Genetics (G) by Environment (E) by Management (M)." There is a lot of focus on using data to measure hybrid and variety performance, in other words, to sort out the "G" part of the equation. That can start with your own data and but it can also include being part of "group, pooled or community" data. This allows you to anonymously see yield results from both genetics you planted and didn't plant. Being able to filter results by rainfall, GDU's and soils helps to address the factors that make up the "E" factor and get closer to apples-to-apples comparisons.

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Topics: yield analysis, seed selection

Understand Why Hybrid and Variety Yields Vary

Posted by Dan Frieberg on 8/6/19 8:13 AM

Yield results are in and every plot or trial has an overall winner! Winning a plot isn't easy. Sometimes, luck is involved. Years ago, one of our customers measured the impact of "shading" in a plot. If your company's hybrid was placed next to taller hybrids, how much did being shaded by a taller hybrid affect yield in the outside rows that were shaded? They found the difference could range from 7.7 to 33 bu/acre penalty from being shaded! In some company's trials protocols, they discard the outside two rows and only count the results from the inside two rows.

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Topics: seed selection

Time to Scrutinize ROI

Posted by Dan Frieberg on 6/4/19 8:16 AM

Increasing return on investment for every input is clearly on the mind of every grower. They are in an economic squeeze, but that doesn't mean they won't invest more in crops. It does mean they are scrutinizing every dollar they spend. The current success measure now goes beyond yield increase to include which inputs offer better return on investment.

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Topics: cost per bushel, seed selection

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Premier Crop Systems, based out of Des Moines, IA, started in 1999 to deliver better agronomic decisions through data analysis that lead to higher yields, increased profits and more sustainable practices for customers. 

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