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This profile was last updated on 7/26/14  and contains information from public web pages and contributions from the ZoomInfo community.

Dr. Edward S. Buckler

Wrong Dr. Edward S. Buckler?

Adj. Professor of Plant Breeding ...

Cornell University
159 Sapsucker Woods Road
Ithaca, New York 14850
United States

Company Description: Founded in 1865, Cornell is the federal land-grant institution of New York State, a private endowed university, a member of the Ivy League, and a partner of the...   more
Background

Employment History

Education

  • Ph.D.
129 Total References
Web References
People Sean Myles Lab
www.cultivatingdiversity.org, 26 July 2014 [cached]
Ed Buckler, USDA-ARS and Cornell University
In a parallel effort, Ware's CSHL ...
www.eurekalert.org, 19 Nov 2009 [cached]
In a parallel effort, Ware's CSHL team also helped generate the first so-called "HapMap" of maize in collaboration with Edward Buckler, a USDA scientist. The HapMap, a shorthand for haplotype map, gauges diversity in the maize genome by comparing 27 distinct genetic lines of the plant with the reference version.
...
The Hap Map paper, appearing simultaneously online ahead of print in Science, is entitled, "A First-Generation Haplotype Map of Maize"; the corresponding author is Edward S. Buckler.
Panzea: Project Members
www.panzea.org, 27 Feb 2014 [cached]
Edward Buckler Project PI
June » 2012 » AGTV – Blog
www.agtvnetwork.com, 1 June 2012 [cached]
USDA's Agricultural Research Service (ARS) named Edward Buckler the Distinguished Senior Research Scientist of 2011 for his work conducting landmark genetic studies of corn.
From Corn-Bred Statistics to High-Tech Breeding
www.biotech-info.net, 28 Nov 2001 [cached]
ARS plant geneticist Edward S. Buckler and N.C. State professor of crop sciences Major Goodman are two of the scientists involved.
...
"Our group is among the first to associate natural allelic [base] diversity with trait variation in plants by using statistical methods," says Buckler. He's adapting statistics developed for human genetic research to the world of corn and creating some new equations in the process.
Once developed, "the statistical methodology will be useful to study any type of plant or fungi, and of course humans," says Buckler.
...
Buckler says his predecessors have earmarked so many genes which could possibly control traits of interest that, without statistics, "we may select the right gene only 10 percent of the time. These statistical approaches will allow us to find the right one 95 percent of the time."
Busy as Bees
Now in his second year on this project, Buckler is surveying 19 genes from 100 inbred lines of maize to test for statistical associations. The genes are known to contribute to traits like stalk length and plant height; flowering time; disease resistance; and the protein, carbohydrate, and oil content of the kernel. He says his group will probably end up working with 30 genes.
Buckler's laboratory looks a bit like a beehive, with seven technicians and students and a postdoctoral molecular biologist busily working at automated gene sequencers. Before he can apply any statistics, each of those 30 genes has to be sequenced-or spelled out base by base-for each of the 100 core lines. When the work is finished, the group will have sequenced some 10 million bases, he says.
Then, after he makes the statistical associations and zeros in on the mutations most likely to affect the traits he is interested in, he has to prove the associations. So Buckler, Goodman, and co-workers are making hundreds of crosses between corn lines with the promising mutations and growing them to see if they really do make the plant flower earlier or shorten its stalk or change the nutritional profile of the kernels.
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Complicating things further is the fact that "the corn genome is much more diverse than the human genome," according to Buckler, who notes that an average of 2.5 percent of the bases differ between any two corn lines. "That's 25 times more diversity than in the human genome. In fact, "corn and its wild relatives make up one of the most diverse plant genera in the world," he adds.
Thanks to groundwork laid by corn geneticists, particularly ARS' Charles W. Stuber, who led corn genetics research at Raleigh until his retirement in 1998, "we have a good map of markers," says Buckler.
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And we don't know how the subtle changes affect traits," says Buckler. He and Goodman are looking for those bases-the specific addresses-on the streets mapped by Stuber and others.
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For example, explains Buckler, take the human population of any large city. If you associate people's traits with their genotypes, you may get false positives if you assume that the population mated randomly. There are ethnic groups in any city, and people in those groups are more likely to marry and bear children within their group than outside it. So, too, corn has lots of little "ethnic" groups. "If you ignore ancestry, you may get a lot of associations that aren't real," says Buckler, noting that this happened in research on the human genome.
Fortunately, the science of statistics is always evolving. Oxford University statistician Jonathan Pritchard recently published new equations that improve accuracy in identifying the mutations behind human diseases across different populations. v "Disease is a yes-or-no situation-you either have it or you don't," says Buckler.
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Edward S. Buckler is in the USDA-ARS Plant Science Research Unit, Gardner Hall, Room 2523, P.O. Box 7614, North Carolina State University, Raleigh, NC 27695-7614; phone (919) 513-1475, fax (919) 856-4816.
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