During the growing season, SDSU Extension provides weekly production recommendations.
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The SD Mesonet Spray Tool provides real-time weather data for pesticide applicators. This dedicated website for pesticide applicators uses the SD Mesonet weather data, which is updated every five minutes.
This is a quick reference guide to common herbicides and their rotation restrictions for selected crops.
With technology surrounding today’s culture, data and marketing information has become a key part of life. The best way to determine if a product or practice is effective is to ask for the data and research backing a company’s claims. However, before a producer makes a decision, understanding the data and statistics is key.
Long residual pre-emergent or early post-emergent herbicides may cause stand reduction or complete failure of cover crops. Depending on efficacy of the herbicide, each situation can both affect in-season and/or post-harvest cover crop establishment.
As the spray season starts, it is always good to be aware of resources and testing facilities where you can send in possible herbicide-affected plant samples. SDSU Extension offers suggestions on how to handle possible herbicide damage situations as well as recommended labs that receive plant matter samples to test for herbicide residues.
Agriculture is going through some difficult times not only in the United States, but globally as well. Aside from some short-lived price hikes for different products, the overall trend has been to higher costs of production and lower output prices.
How should a basic study be set up or laid out in the field? One very common approach is to divide a field in half and compare the halves or possibly compare two fields in close proximity and see which variety or practice yields highest. This approach can end with very misleading results because of the variability that exists across a field or fields due to many factors.
Utilizing sound research results to help make decisions on the farm is a wise business practice. It can be confusing, however, when you see two numbers that are clearly not the same labeled as “not significantly different.”