1. Maize Diversity-Based Genomics.
We are developing a platform to rapidly dissect complex traits in maize
by utilizing both association and linkage based approaches. To conduct
these analyses, we must develop linkage and association populations
that capture much of the natural variation inherent in the maize
genome. Extensive phenotyping and surveys of tens of thousands of
candidate gene sequences will then be employed. The development and
adaptation of novel statistical genetic approaches is also required to
study these diverse mapping populations. This approach should allow the
rapid dissection of complex traits down to the gene level.
2. Trait dissection.
A full range of genomic and field genetic approaches are being used to
identify alleles involved in improved nitrogen efficiency, aluminum
tolerance, and kernel quality. Targeted alleles are those that can
reduce the environmental impact of maize agriculture and provide a more
nutritional plant. RNA microarrays, metabolite profiling and other
genomic approaches are being applied to dissect these traits.
3. Bioinformatics.
Making the connection between genomics and plant breeding remains a
formidable challenge for current bioinformatics tools. We are
developing improved bioinformatics tools that integrate public
databases with genomic diversity data and agronomic data.
NEW: Unified Mixed-Model Method for Association Mapping: Association mapping with complex pedigrees, families, founding effects and population structure
Our research has been recently discussed in Agricultural Research, Plant Cell, and Nature Genetics.
The USDA and NSF have generously supported this research.
Contact Information:
Dr.
Edward Buckler
USDA-ARS Research Geneticist
Institute for Genomic Diversity
Cornell University
159 Biotechnology Bldg
Ithaca, NY 14853-2703
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Voice: (607) 255-4520
Fax: (607) 255-6249