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ARS Home » Northeast Area » Ithaca, New York » Robert W. Holley Center for Agriculture & Health » Research » Research Projects Subjects of Investigation at this Location
Research Projects Subjects of Investigation at this Location

Each ARS research project has related subjects of investigation.  Listed below are the subjects of investigation currently conducted at this location.

Clicking on a subject of investigation will list the research projects within that  subject of investigation.
Subjects of Investigation
Bacteria
Barley
Beans (dry)
Citrus, general/other
Cole crops (includes cabbage, kale, broccoli, brussels sprouts, cauliflower,
Corn (for sweetcorn use 1480)
Cotton, other
Cross-commodity research--multiple crops
Deciduous tree fruits, other
Fungi (includes yeast)
Grain crops, general/other (includes buckwheat, millet, triticale)
Grain sorghum
Grapes, other
Hard red winter wheat
Individuals (as workers, consumers, members of society)
Insects
Leguminous vegetables, other
Lentil
Peas (dry)
Potato
Rice
Soil
Soybean
Tomato
Viruses
Warm season perennial grasses (includes dallisgrass, bluestems)
Wheat, other
Research Projects within Warm season perennial grasses (includes dallisgrass, bluestems)
item Breeding Insight 3
item Breeding Insight Phase 2: Expansion to Support More Diverse Plant and Animal Use Cases
item CERCA - Circular Economy that Reimagines Corn Agriculture (CERCA: On-Farm Nitrogen Recycling)
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA - On-Farm Nitrogen Recycling
item CERCA: Season Shifting Through Cold Tolerance
item Creating a Circular Economy that Reimagines Agriculture Using Plant Diversity and Computational Modeling
item Enabling Mechanistic Allele Mining to Accelerate Genomic Selection for New Agro-Ecosystems
item Improving Maize and Sorghum Efficiency Using Grass Diversity and Computational Modeling