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.
All Crop Treatments Content
SDSU Extension will host West River Field School on June 20, 2019 starting at 8:15 AM MDT at the SDSU West River Research Farm (13304 Alkali Rd., Sturgis, SD 57785).
At commercial or private applicator re-certification trainings, it is possible to hear the phrase, “Don’t wear a respirator if you have facial hair!” Facial hair, whether a full beard or stubble, may prevent respirators from sealing to the skin or interfere with their valve function.
Winter wheat progress is relatively behind the five-year average given the long winter season and low spring temperatures. However, it is important to scout and diagnose early-season diseases in winter wheat to determine the need for an early season fungicide.
As corn is being planted, it is important to remember that there are insect pests capable of injuring young, vegetative corn. One such pest is the common stalk borer. Although common stalk borer outbreaks are sporadic, when present in high numbers they can cause significant yield loss.
May 15, 2019
SDSU Extension and the South Dakota Soybean Research and Promotion Council are seeking South Dakota soybean growers to participate in a farmer-led On-Farm Research Program.
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.
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.
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.”
Increasingly, farmers are generating on-farm research data that encompasses a wide-range of practical topics. However, setting up those experiments so that the data is statistically valid is not necessarily common knowledge.