Manitoba Harvest Nears Two-Thirds Finished

Sep 20, 2023

Spotty rainfall and humidity continued to slow fieldwork in most areas of Manitoba this past week, but producers are still managing to keep the harvest on track.

Tuesday’s weekly crop report pegged the overall harvest in the province at 64% complete, up from 51% a week earlier and 10 points ahead of the five-year average.

Producers in the Central Region are still leading the way, with 77% of the crop in the bin, followed by the Northwest at 62% done, the Southwest at 59%, the Interlake at 57%, and the Eastern at 55%.

The dry pea harvest has now wrapped up in all regions, with the provincial oat and barley harvests close behind at 95% complete. An estimated 93% of the spring wheat crop is off, along with 55% of the canola, 21% of the soybeans and 72% of the dry beans. Meanwhile, many corn fields have reached black layer and are drying down, the report said.

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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.