Quantcast
issue
Read articles, including Science News stories written for ages 9-14, on the SNK website.
How better weather models can save peanut farmers money
Earth sciences reporter Sid Perkins reports from the American Meteorological Society meeting in Atlanta.
A+ A- Text Size

Earth sciences reporter Sid Perkins reports from the American Meteorological Society meeting in Atlanta.

By Sid Perkins

Web edition: January 19, 2010

Enlarge
UNDER ATTACK
The group of fungal diseases known as peanut leaf spot can decrease crop yields up to 50 percent. New analyses suggest that weather models could provide farmers with advance warning of when they need to spray fungicide, as well as letting them know when such costly treatments aren't necessary.
North Carolina State University, Plant Pathology Extension

ATLANTA — In the near future, weather models could save North Carolina’s peanut farmers a total of more than $1 million dollars each year by letting them know when spraying fungicide on their crops isn’t necessary.

In 2008, the peanut crop in North Carolina was worth about $90 million. But a fungal disease known as peanut leaf spot can take as much as half of a farmer’s yield, says John McGuire, an environmental meteorologist at the State Climate Office of North Carolina in Raleigh. The risk of that disease developing is high when humidity exceeds 95 percent and the temperature remains between 60° and 90° Fahrenheit for more than 48 hours in any 96-hour period, he notes.

Now, farmers who have signed up with the State Climate Office receive e-mails when data collected at the research weather station nearest their home indicate that the crop is at risk. But sometimes farmers don’t wait for such warnings: During some hot, humid spells, they preemptively spray fungicide on their crops — a treatment for which the chemical alone can cost between $7 and $20 per acre.

McGuire and his colleagues want to supplement those after-the-fact notifications of leaf spot risk with advance warnings of the need to spray fungicide, the researchers reported January 18 during the annual meeting of the American Meteorological Society. The researchers recently looked at the results of four different models used to predict weather in the upcoming 72 hours — and compared them with actual data gathered at nine research stations scattered throughout North Carolina’s peanut-growing region — to see how well they could predict when conditions favorable for the development of the leaf spot fungus occur.

All of the models, including one used by the National Weather Service to provide near-term forecasts for the mid-Atlantic region and three used by the climate office to provide weather forecasts for the state, underestimated the number of hours when the fungus could develop. Two of those models, however, only underestimated the interval during a four-day period by 1 hour or so, says McGuire.

If one or more of the models can be fine-tuned to accurately forecast the risk of leaf spot, farmers will be able to save time and money by avoiding unnecessary fungal treatments. If all of the state’s peanut farmers avoid just one treatment each year, they’ll save a total of about $1.1 million dollars, the researchers estimate.

Comment
Print Friendly and PDF

McGuire, J., et al. 2010. Evaluation of peanut disease development forecasting. American Meteorological Society meeting. Jan. 17–21. Atlanta. Abstract available by searching here: [Go to]

Comments (1)

Please alert Science News to any inappropriate posts by clicking the REPORT SPAM link within the post. Comments will be reviewed before posting.

  • Does that mean that Peanut Farmers, who are the most heavilly (Tax Payer Money) subsidized Farmers IN AMERICA, are going to GIVE UP their WELFARE CHECKS?
    I mean, they COULD grow the One Crop that produces MORE BIO-FUEL than peanuts do, in equally useless sandy/low humus soils, instead!
    That would, of course, be CANNABIS HEMP!
    James Staples James Staples
    Jan. 28, 2010 at 2:11pm
Registered readers are invited to post a comment. To encourage fruitful discussion, please keep your comments relevant, brief and courteous. Offensive, irrelevant, nonsensical and commercial posts will not be published. (All links will be removed from comments.)

You must register with Science News to add a comment. To log-in click here. To register as a new user, follow this link.

Follow Us