Cold Temperature Damage On Potato

May 20, 2016

By Andy Robinson

With the recent cold weather, you may plsc.robinson.potato.frostbe worried that your plants were damaged by the freezing temperatures. The symptoms of freeze damage on potato often appear a few days after the event and are demonstrated as chlorotic and/or black and crispy leaves. Because potatoes are hilled at planting, it is difficult to freeze the seed (this is one of the advantages of hilling). However, if your potatoes were emerged and had some damage from the recent freezing temperature, this most likely will not kill them. If the apical meristem is killed, the growing point will move to an axilliary bud(s) lower on the stem and growth will continue. The plants may be set back a few days depending on the severity of the damage, but usually potatoes can overcome freeze damage without having to replant.

Source: ndsu.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.