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Deep Freezes Last Winter and Spring Cost Some Fruit Farmers in Southern Maine Part of Their Harvests

By Carol Bousquet

Extreme temperature drops last winter and spring cost some fruit farmers in southern Maine part of their harvests.

In May a late spring freeze ruined Ellen McDougal's Honeycrisp and Evercrisp varieties due to their early bloom time.

"We were at full bloom. The 17th of May everything was in full bloom, pink and white. The next morning we went out and they were brown, all the blossoms were brown. Some varieties bloom earlier and those are the ones that were affected," McDougal said.

McDougal says the subzero temperatures Maine experienced in February caused other fruits to suffer as well.

"We lost all the peaches in February, the temperature went down to minus 15, minus 16 degrees, so we lost all of the stone fruit. It was a double whammy," she said.

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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.