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.
Topics: yield analysis, seed selection
Hunters and soil scientists may seem like an odd pairing but they have at least one thing in common – they know and appreciate that nature has an aversion to straight lines. Hunters spend a lot of time in and observing the great outdoors and getting an up-close look at the variability Mother Nature molded upon our landscape. Soil scientists not only spend time looking at the curvy contour lines that represent the transition from one soil type to another but their academic training is about the "how's and why's" of soil formation over the centuries.
Topics: data analytics, yield analysis, yield map
Can “Unhealthy” Soils Consistently Produce Exceptional Yields?
In the early 1970s, I was fortunate to work for a farming operation that was serious about soil conservation. Serving on State Soil Conservation boards, building terraces, implementing no-till, when planters and weed control options were crude by today’s standards – they were soil stewards. Because of their mentorship, I’ve always taken soil conservation seriously.
Topics: data analytics, Precision ag, yield analysis, soil health