World of Weeds: Kochia

Jan 20, 2020

By Sarah Lancaster et al.,

This is the second article in the “World of Weeds” series. The first article was all about mistletoe and appeared in Issue 778 on December 20, 2019.

Ecology of kochia

Kochia, also known as tumbleweed, is native to Europe and Asia and was introduced from Europe as an ornamental in the mid- to late- 1800s. It is well adapted to the Great Plains. Kochia is related to common lambsquarters and Russian thistle and is similar to them in some ways.

Kochia has alternate, lance-shaped leaves with 3-5 prominent veins and hairs on the margins and lower surface (Figure 1). Small green flowers are formed at the base of leaves in late summer and early fall. Kochia is a round or pyramid-shaped plant with many branches that can grow up to 6 feet tall (Figure 2).

Figure 1. Example of a kochia seedling. Photo by Dallas Peterson, K-State Research and Extension.

Figure 2. Kochia plant that is approximately 6 feet tall. Photo by Dallas Peterson, K-State Research and Extension.

In Kansas, kochia generally emerges in March, but can emerge as early as late January. Kochia can produce more than 50,000 seeds per plant, which are spread when the matured plant breaks off at the soil surface and tumbles in the wind (Figure 3). Kochia seeds are viable in the soil seedbank for only 1 to 2 years.

Kochia can be grazed when it is young and is credited with helping ranchers survive droughts of the early 20th century. However, it can accumulate harmful levels of nitrates and has been linked to photosensitivity in livestock.

Figure 3. Pattern of seed dispersal by wind-blown kochia. Photo by Dallas Peterson, K-State Research and Extension.

Management

If uncontrolled, kochia can reduce soybean yield by 30%, corn and sorghum yield by about 40%, and wheat yield by 58%. Kochia populations in Kansas have confirmed resistance to: chlorsulforon (Group 2), dicamba and fluroxypyr (Group 4), atrazine (Group 5), and glyphosate (Group 9).

Resistance to key post-emergence herbicides coupled with early emergence makes herbicide timing critical for kochia management. Pre-emergence herbicides should be applied in fall or very early spring. Products below are listed as examples. Always read and follow label directions.

Herbicide	Rate/acre	Group (s)	Crop	Timing
Fierce EZ	6 fl oz	14, 15	C, SB, F	PRE
Lumax EZ	2.7 qt	5, 15, 27	C, GS	PRE
Sencor	0.5 lbs	5	SB, W^1,F,	BD, PRE
Spartan	6 oz	14	SB	BD, PRE
StaraneNXT	27.4 fl oz	4, 6	C, GS, W	POST
Glyphosate (Several)	2 pts	9	C², SB²	POST
Gramoxone SL	3 pts	22	F	BD
Laudis	3 fl oz	27	C	POST

C=corn, GS = grain sorghum, SB=soybean, W = wheat, F = fallow, BD = burndown
1Tolerant varieties only; 2Resistant varieties only

Source : ksu.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.