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Determine Proper Timing For PGR Applications

By Jim Steadman 
 
Accelerated growth of cotton plants during squaring means it’s time for growers to determine strategies for PGR applications.
 
In a recent blog, NC State Cotton Specialists Guy Collins and Keith Edmisten note that not all fields will need pre-bloom PGR applications, but that growers will need to manage their crop for earliness if acceptable rains (not excessive, not insufficient) persist through first bloom and thereafter.
 
“Let’s be clear, this does not necessarily mean that growers need to automatically be aggressive with PGRs,” say the authors. “However we will need to be timely with scouting for both growth parameters and insects (mainly plant bugs) and timely with any necessary action.
 
“At this point in time, PGRs should not be applied to cotton that is still struggling for whatever reason (earlier sand drowning, stunting from herbicides, water-logging, etc.) for the time being, just because it might be later than normal,” they add. “However, other fields with good or rapid growth (fields that have been top-dressed, have healthy plants, signs of vigorous growth, later planted, later varieties, heavier soils that aren’t water logged), may need a PGR application soon in order to guide the plant into an acceptable height once blooming begins.”
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Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

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.