Glen Ewen 4-H members enjoy learning about agriculture

Nov 17, 2022

The Glen Ewen Mixed 4-H Club is excited to once again be creating opportunities for young people.

In an email to the Mercury, Myrna Babbings wrote that the club was formed in 1989-90 with six boys who took on a woodworking project. Donna Merkley was the general leader who started the club, and Sharon East was the project leader. Members that started the club included Michael Burns, Marc Revet, Curtis East, Terry Magnien, Darryl Scott and Kris Babbings. That year they built a village community bulletin board that has been renovated but still stands in the same place. It is used regularly.

In 1990-91, the club expanded to have four projects and that was the beginning of the club's name of Glen Ewen Mixed. Woodworking, knitting, babysitting and small pets were projects. It was also their first year with peewees (ages six to eight).

By 1993, the club had grown to 30 members and one peewee and had members for many projects.

The Communiplex gave the club a bulletin board to decorate. Parents stepped in and decorated the board with pictures, projects and 4-H events to allow people to see what the club is doing. The Glen Ewen Trailblazers have their bulletin board as well.

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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.