Healthy Soils Demonstration Project Update

Apr 04, 2019

By Holly Stover

Spring is here and the Healthy Soils Demonstration Project (to read about the background of this project, click here) has been busy since the composts were applied last fall. We have observed the onset of spring, the grasses and wildflowers on the plots are actively growing. With frequent rains and warm temperatures starting, the applied compost has settled into the soil ecosystem.

On March 22, a herd of 79 cattle visited our plots and grazed on the grasses. It was a busy week, we also began our second intensive gas sampling campaign and are currently sampling greenhouse gases every day for the next three weeks. The soil microbial and plant communities are active and we are capturing key soil mineralization processes during this time. To learn more about the project, visit us on May 15 at SFREC for the Ranching and Range Management in a Drying Climate Field Day! Click here to see the agenda. Click here to register.

Cattle grazing in the project area.

Sampling of the green house in the plots.

Flowers blooming in the healthy soils of the plots.

Source:ucanr.edu

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.