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Study: Climate Change Could Cause Drought in Wheat-Growing Areas

By Song Feng
 
In a new study, researchers found that unless steps are taken to mitigate climate change, up to 60 percent of current wheat-growing areas worldwide could see simultaneous, severe and prolonged droughts by the end of the century. Wheat is the world’s largest rain-fed crop in terms of harvested area and supplies about 20 percent of all calories consumed by humans.
 
 
The risk of widespread drought in wheat production areas is four times the level scientists see today, said Song Feng, associate professor of geosciences and the second author on the study published in the journal Science Advances. Such droughts would be a shock to the food production system. “If only one country or region sees a drought there is less impact. But if multiple regions are affected simultaneously, it can affect global production and food prices, and lead to food insecurity.”
 
For the study, Feng and colleagues analyzed 27 climate models, each of which had three different scenarios. “It was terabytes of information, and it took a couple months and multiple computers to run,” he said. Feng and Miroslav Trnka, a professor at the Global Change Research Institute in the Czech Republic and first author of the study, came up with the idea for the study over pizza at a conference in Nebraska. They sketched out the initial ideas for the study on the back of a napkin.
 
The study found that historically, the total area affected by severe drought worldwide and food prices are closely related. More widespread drought has meant higher food prices in the past.
 
Given present-day weather patterns, severe drought could affect up to 15 percent of current wheat growing areas, the study states. Researchers found that even if global warming is held to 2 degrees Celsius above pre-industrial levels, the target of the Paris Agreement, up to 30 percent of global wheat production areas could see simultaneous drought. “This clearly suggests that that global warming will affect food production,” said Feng.
 
About the University of Arkansas: The University of Arkansas provides an internationally competitive education for undergraduate and graduate students in more than 200 academic programs. The university contributes new knowledge, economic development, basic and applied research, and creative activity while also providing service to academic and professional disciplines. The Carnegie Foundation classifies the University of Arkansas among fewer than 3% of colleges and universities in America that have the highest level of research activity. U.S. News & World Report ranks the University of Arkansas among its top American public research universities. Founded in 1871, the University of Arkansas comprises 10 colleges and schools and maintains a low student-to-faculty ratio that promotes personal attention and close mentoring.
 

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Seeing the Whole Season: How Continuous Crop Modeling Is Changing Breeding

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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.