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Reseeding In Flooded Areas Of Spring Planted Forages

By Marvin Hall

Many fields of spring planted forages have areas where the forage didn’t survive the wet conditions. It is possible to reseed those areas this August or early September and have a solid stand next spring. The biggest concern of following a crop with the same crop (for example trying to seed alfalfa into a thin stand of alfalfa) has to do with pests and plant chemicals that have built up over time. Since last spring’s seeding never established in those low lying areas, these problems don’t exist. Lightly tilling or no-tilling forages back into those areas will have the same potential for success as if the area had been fallow. Remember the two rules for successful forage establishment.

  • Don’t plant deeper than 3/8 inch and
  • Ensure good seed to soil contact.

Source:psu.edu
 


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

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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.