Winter Wheat Planting More than Half Complete

Oct 09, 2024

More than half of the 2025 US winter wheat crop has now been planted, while one-quarter of the crop has emerged.

According to Monday’s USDA crop progress report, planting advanced 12 points from the previous week to reach 51% complete as of Sunday, slightly behind the average trade guess of 53% and a single point behind both last year and the five-year average. Meanwhile, emergence gained 11 points on the week to 25%, exactly on par with last year and the average.

Planting in the top production state of Kansas was 52% done as of Sunday, up from 32% a week earlier and near 51% last year and 50% on average. The Kansas crop was 21% emerged as of Sunday, up from 10% the previous week and 3 points behind last year and the average.

The Oklahoma crop was 32% planted, up 10 points on the week and well behind 43% last year and 46% on average, while just 14% of the crop had emerged, versus 19% last year and 22% on average.

The planting of the Soft Red crop in Michigan was 44% complete as of Sunday, up from 26% a week earlier and 7 points ahead the state average, while emergence, at 15%, was still 2 points behind average.

The Ohio crop was roughly one-third planted (32%) as of Sunday, a 15-point increase from a week earlier and 7 points ahead of last year but 4 points back of the average. The Ohio crop was 8% emerged as of Sunday compared to 3% last year and 7% on average.

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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.