Use Care When Applying Pre-Harvest Desiccants

Aug 24, 2022

The North Dakota Department of Agriculture (NDDA) is reminding producers using herbicides for pre-harvest desiccation to be mindful of adjacent crops when making their applications. Pre-harvest desiccation refers to an herbicide application that dries the plant and leaves of a crop before harvest. “Take care when applying pre-harvest desiccants to ensure that sensitive adjacent crops are not being affected,” Agriculture Commissioner Doug Goehring said. “It is also important to check the label to make sure the product being used is labeled for desiccation of the crop it is being applied to. Failure to use the correct product at the correct time may result in decreased yields, poor germination for seed crops, or the risk of having commodities rejected and potential liability for contamination.” It is a violation of state and federal law to apply a product in a manner not prescribed on the label. Applicators should also be sure to follow required harvest intervals prescribed on the label.

Source : nd.gov

Video: Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

Plant breeding has long been shaped by snapshots. A walk through a plot. A single set of notes. A yield check at the end of the season. But crops do not grow in moments. They change every day.

In this conversation, Gary Nijak of AerialPLOT explains how continuous crop modeling is changing the way breeders see, measure, and select plants by capturing growth, stress, and recovery across the entire season, not just at isolated points in time.

Nijak breaks down why point-in-time observations can miss critical performance signals, how repeated, season-long data collection removes the human bottleneck in breeding, and what becomes possible when every plot is treated as a living data set. He also explores how continuous modeling allows breeding programs to move beyond vague descriptors and toward measurable, repeatable insights that connect directly to on-farm outcomes.

This conversation explores:

• What continuous crop modeling is and how it works

• Why traditional field observations fall short over a full growing season

• How scale and repeated measurement change breeding decisions

• What “digital twins” of plots mean for selection and performance

• Why data, not hardware, is driving the next shift in breeding innovation As data-driven breeding moves from research into real-world programs, this discussion offers a clear look at how seeing the whole season is reshaping value for breeders, seed companies, and farmers, and why this may be only the beginning.