Grower Input Needed on Disease Management in Hopyards

May 09, 2022

By Ross Hatlen and Timothy Miles et.al

Diseases in hops can reduce yield and quality, and they are challenging to manage. Ideally, management includes a mixture of cultural and chemical strategies. Michigan State University Extension is working on solutions to manage hop diseases. The MSU Extension hop team has developed a quick (less than 10 minutes) survey to gather input on the scale of your problems with hop disease management and to learn how growers across the eastern United States are tackling these problems.

The survey asks about disease management and associated cultural practices. Your timely responses will help us improve management recommendations to better address hop diseases.

Take the Hop Disease Practices Survey

Source : msu.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.