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276 found

Adaptive Multi-Paddock (AMP) Grazing Research in the U.S. Southeast 

Year Awarded  2017

FFAR award amount   $1,250,000

Total award amount   $2,500,000

Location   Tempe, AZ

Matching Funders   McDonalds

Grantee Institution   Arizona State University

Researchers are investigating whether Adaptive Multi-Paddock (AMP) grazing, in relation to widespread continuous grazing practices, contributes to measurable differences in overall soil health, environmental sustainability and farmer profitability within the U.S. Southeast.

Improving Simulations of Water Dynamics and Crop Yield in the Corn Belt 

Year Awarded  2017

FFAR award amount   $300,000

Total award amount   $600,000

Location   Ames, IA

Matching Funders   Iowa Crop Improvement Association

Grantee Institution   Iowa State University

Currently, about 70 percent of crop yield losses in the Midwest are related to inefficient water use. Crop models help optimize water use and quality; however, today’s models do not account for groundwater. This important source of water can reduce the need for irrigation in dry years and enhance nitrogen and yield loss in wet years. Iowa State University researchers are improving simulation models that help farmers manage water use and predict impacts and design mitigation strategies that improve water quality, soil health and productivity.

An Open Source Plant Chemogenomics Set 

Year Awarded  2017

FFAR award amount   $1,000,000

Total award amount   $2,320,000

Location   Davis, CA

Matching Funders   UC Davis Innovation Institute for Food and Health, the Structural Genomics Consortium, AgBiome and Promega

Grantee Institution   University of California Davis

Drought is a significant concern for farmers, especially rice growers. University of California, Davis researchers are studying genes responsible for drought tolerance in rice. The project is developing and implementing a screening strategy to identify new gene that effect root traits and drought tolerance in rice.

Going Back to the Roots To Transform Soil Health into Yield 

Year Awarded  2016

FFAR award amount   $285,083

Total award amount   $570,165

Location   Davis, CA

Matching Funders   UC Davis Dean's Office

Grantee Institution   University of California Davis

Soil health management practices are promoted as feasible, complementary approaches to high-input strategies to increase food production and decrease agriculture’s environmental footprint. However, the role crop plants play in using soil health to increase yields is often overlooked. University of California, Davis researchers are transforming soil health into yield by exploring the relationship between root systems, soil health and crop productivity to identify how producers can grow resilient crops using sustainable practices at scale.

Building Soil Health Through Rotational Diversity and Soil Microorganisms 

Year Awarded  2016

FFAR award amount   $299,962

Total award amount   $599,923

Location   East Lansing, MI

Matching Funders   MSU AgBioRes

Grantee Institution   Michigan State University

Crop rotations have been used to increase crop productivity for centuries, but little is known about how rotational diversity impacts soil microorganisms. Michigan State University researchers are addressing this research gap by studying the interactions between crop diversity, soil microorganisms and soil organic matter. The project aims to build soil health through rotational diversity and soil microorganisms.

Advances in Water Limited Irrigation Management 

Year Awarded  2016

FFAR award amount   $300,000

Total award amount   $600,000

Location   Davis, CA

Matching Funders   Kansas State University and University of California, Davis

Grantee Institution   University of California Davis

Projected increases in demands for food, feed and fiber will require more water. Semi-arid environments already face challenges in maintaining agricultural productivity under declining water supplies and climate change will exacerbate this challenge. University of California, Davis researchers are improving water productivity in agriculture by integrating data related to agricultural water use by several sources such as soils, weather and plant-based measurements.