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Map: Prairie Abnormal Dryness, Drought Little Changed in November

Abnormal dryness and drought were little changed across Western Canada in November, a month that typically brings relatively little relief anyway. 

The latest monthly update of the Canadian drought monitor shows abnormal dryness or some form of drought impacting 71% of Prairie agricultural lands as of the end of November. That’s up slightly from 68% in October and 64% in September. 

“The Prairies typically receive limited precipitation in November, therefore the chance of significant changes in drought is limited,” the monitor said. 

In general, November was warmer than average across the Prairies, with temperatures 4 to 5 degrees Celsius above normal in the northwest and along the southern foothills. Below normal precipitation was recorded throughout northern Alberta, eastern Saskatchewan, and Manitoba.  

A major snowfall event in late November delivered up to 20 cm across parts of Alberta and Saskatchewan, while Manitoba received no major storms, remaining mostly snow-free until late in the month. 

In Alberta, central regions saw modest improvement with the reduction of severe drought and removal of the extreme drought near Lloydminster. Northeastern Alberta continued to see improvements, with reductions in moderate and severe drought.  

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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.