Where Lewis and Clark finished the rum | And do this over time. We are starting to look at long time spatial yield trends (10 years of data), and now with both yield and protein monitors, we can look at N removal - in wheat, barley, oil in canola, camelina etc. Some areas of the field are always high yielding, and some are always low, and some vary from year to year and crop to crop.
Looks like dgrimm might have data to look at nutrition at specific points over a series of years and with farmer cooperation, yield at those points, that would be pretty interesting. And in an annual cropping situation, yearly soil tests at a specific spot will probably suffice for a before and after soil test analysis, then calculate N removal by crop to see how that agrees. Might get to N use efficiency, which I beleive varies spatially. That is, N response curves vary across the field, and that is of interest to me - otherwise we end up putting more N where it isn't going to return as many $$ as it would if put in an area of better response. |
Thinking about data..
