Not all datasets are created equal. Without a check strip or variety to compare to, or if too complicated, or with too few replications, resulting trial numbers can be nearly meaningless when comparing one decision to another.
Good data means that farmers and agronomists can choose a practice or change or hybrid with a level of confidence that they’ll see similar results in the field.
So what goes in to getting good data? How do you determine good from bad? That’s the conversation on this episode of The Agronomists, featuring Deb Campbell of Agronomy Advantage and Jason Voogt of Field2Field Agronomy.
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