Dig Deep Into Data

Posted by Dan Frieberg on 1/29/20 8:15 AM
Dan Frieberg
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One of the services Premier Crop provides growers with is community or group data analysis from a regional basis. Growers can confidentially and anonymously share their field data with other growers in their region though written data-sharing agreements. Group data analysis compliments field- and grower- level analysis; growers receive actionable field intelligence they can use on their own fields.

At Premier Crop, we are constantly challenging growers and their advisers to dig deeper into their data. For example, a few years ago one of our customers, a grower we will call Bob, wanted to use data to make decisions on trying to capture the 40-cent-per-bushel early harvest pricing premium his local ethanol plant was offering. Bob’s data analysis considerations started out with the yield penalty for planting earlier-maturity hybrids in his area.

Current and historic data analysis of his and other grower’s data in bob’s adviser’s 100,000-plus acres of multi year group-data database showed a consistent 15 bushel per acre penalty (185 vs. 170) for planting early maturities over the past five years. The adviser and the grower calculated that he needed a 35-cent-per-bushel premium to break even.

Bob’s second question was whether the yield penalty was universal across all soil types. His adviser added soil type to the relative maturity query and the results showed a 10-bushel disadvantage on the lighter soil types, which was about 25% of the grower’s operation. The overall yields weren’t as high on the lighter soils, which might be part of the reason why the penalty was lower.

Planting earlier maturities on lighter soil-type fields dropped the break even premium to 23 cents per bushel – offerings potential $30-per-acre advantage to planting and early-maturity corn and capturing the premium.

The adviser suggested they do even deeper and look at planting date, as well. The adviser’s instincts led to and even more powerful discovery. The reward to earlier planting was (18 bushels per acre) more significant on the lighter soil types than the normal and heavier soil types (10 bushels per acre).

premiercropblog_databyyieldandsoils

That latest discovery didn’t make senses first. Like many growers, Bob liked to plant his “best” fields first – the best being those with the highest yield potential. Because the lighter soils had less yield potential, they tended to be treated as secondary ground. But as Bob and his adviser considered what the data analysis was showing they realized that later planting dates meant pushing pollination back into the hotter and drier weeks of summer. The lighter soils didn’t have as much water-holding capacity as the normal and heavy soils, which were better able to handle stress without losing yields.

So, do you think Bob planted earlier maturity corn on his lighter soils first and captured the early harvest fall premium? More than likely, but I’m not positive. However, I do know the entire process led to the purchase of an additional planter. The planting date analysis was so overwhelming it was easy to justify the addition of equipment needed to plant all his acres earlier. As convincing as the analysis was on the lighter soils, Bob was unwilling to potentially lose 10 bushels per acre on his best soils by switching planting order.

And imagine his delight in being able to use data to justify to his wife why buying more equipment was the right answer!

Got Data?

1. In what parts of your operation, are you looking for actionable data to help mae a tough decision? Keep digging into your data. More than likely, the "first layer" is only a step in the right direction. Although it may take more time, digging into a second and third data layer may provide discoveries that are well worth the effort. 

2. What areas of your operation can you gain efficiencies? Ask you trusted advisor to help you dig through some not-so-obvious data layers to find savings.

Topics: data analytics

About

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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