Strawberry growers globally could benefit from UF/IFAS research into dangerous disease

Strawberry farmers worldwide may get help from new University of Florida research that shows a way to battle one of the fruit’s fiercest foes.

The key: combine genomic data with phenomics. The genome amounts to all the DNA in an organism. Phenomics is the study of plant growth, performance and composition. Through phenomics, scientists use DNA to measure plant traits. In a newly published study, UF/IFAS scientists found a new way to help strawberry growers battle powdery mildew.

Ronald Tapia, a doctoral student in horticultural sciences, points a sensor at a strawberry plant at the UF/IFAS Gulf Coast Research and Education Center. Credit: Courtesy, Ronald Tapia, UF/IFAS.

Ronald Tapia, a doctoral student at the Gulf Coast Research and Education Center (GCREC), led the research. Tapia worked under the supervision of Seonghee Lee, an assistant professor and Vance Whitaker, an associate professor, both in horticultural sciences.

Prior research already showed this method detects diseases in other crops, Whitaker said.

“We already have a lot of technology that helps us understand the genes in strawberries, but those genes still need to be connected to their actual effect on the plant – in this case how the plant resists powdery mildew disease,” said Whitaker. “That’s why we combined genomics and phenomics. Any technology that reduces the cost or increases the speed of evaluating any trait — like disease resistance — in our breeding trials can help us out.”

Whitaker cautions this method is not guaranteed to work in all situations, but he’s hopeful.

To reach their findings, Whitaker and his colleagues conducted a field trial of strawberry plants at GCREC. They took DNA from each strawberry and looked at its genes.

Then they rated the disease using two methods:

  • Their own eyes, which gives them a visual scale. The plants were evaluated the traditional way by eye, recording the severity of the disease, rated on a scale of 0 to 6 for each plant.
  • A handheld sensor. Whitaker and his colleagues used the device to detect wavelengths of light that you can’t see with your eyes. The wavelengths gave researchers data about the health and disease status of strawberry plants.
  • Vance Whitaker, associate professor of horticultural sciences at the UF/IFAS Gulf Coast Research and Education Center. Credit: Tyler Jones, UF/IFAS photography.

“We showed that by combining the DNA information (genomics) and the spectroscopy information (phenomics), we can predict the visual rating of disease resistance surprisingly well,” Whitaker said. “In the future, we can eliminate the work of the visual rating.”

The finding should help scientists assist strawberry growers globally as they look for powdery mildew in their crop.

In Florida alone, farmers grow strawberries on about 11,000 acres, and the fruit carries a $300 million-a-year economic impact on the state. They’re grown mostly in west-central Florida, and specifically in Hillsborough and surrounding counties. Florida produces most of the nation’s domestic winter crop. California produces strawberries nearly year-round. Nationwide, strawberries are valued at about $2.2 billion.


The mission of the University of Florida Institute of Food and Agricultural Sciences (UF/IFAS) is to develop knowledge relevant to agricultural, human and natural resources and to make that knowledge available to sustain and enhance the quality of human life. With more than a dozen research facilities, 67 county Extension offices, and award-winning students and faculty in the UF College of Agricultural and Life Sciences, UF/IFAS brings science-based solutions to the state’s agricultural and natural resources industries, and all Florida residents.  |  @UF_IFAS


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Posted: May 11, 2022

Category: Agriculture, Crops
Tags: Detection, Disease, Genes, Genomics, Gulf Coast Research And Education Center, Horticultural Sciences, Phenomics, Plant Breeding, Powdery Mildew, Ronald Tapia, Sensor, Seonghee Lee, Strawberries, Vance Whitaker

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