USING ULTRA-HIGH-RESOLUTION DRONE IMAGERY FOR CROP BREEDING HIGH THROUGHPUT PHENOTYPING
Presented by: Dr. Kevin Price, Geospatial Data & Analysis Consultant
Presented by: Don Cummins, President, Air Data Solutions, LLC
“The essence of biology is to understand the link between genotypic and physical (phenotypic) characteristics. Reflecting this, the primary focus of plant genetics research since the discovery of DNA has been to understand how DNA polymorphisms impacts a plant’s phenotype. Making this connection is central to plant biology, ecology, population genetics, and plant breeding. To connect DNA to phenotypes on a genome-wide scale and understand the genetic architecture of complex traits on a species-wide level, large populations must be reliably phenotyped and genotyped. This level of biological understanding will greatly expand the field of plant biology while helping meet the challenges of increasing food, feed, and fiber production in the face of growing populations, decreasing land area and changes in climate.
The bottleneck to plant breeding is phenotyping. For this reason, there is a need for robust, high-throughput phenotypic (HTP) methods for assaying a range of traits in crops within a field growing condition. Remote sensing is the most promising approach for developing a low-cost, flexible methods amendable to a range of plant species” (Poland et al. 2012).
During this presentation, we will discuss how ultra-high-resolution color infrared imagery acquired from a drone aircraft is acquired and used by generic breeders to identify key plant growth characteristics of significance to plant breeding objectives.
Use of Drone Multispectral Imagery for Variable Rate Fertilization in Central Arkansas
Presented by: Dr. Ahmed Hashem, Assistant Professor, Arkansas State University
Presented by: Matthew Morris, Arkansas Farmer: Corn, Rice, Soybeans
Interest in drone imagery for various agricultural applications continues to grow. Nutrient management technologies continue to evolve and are essential to reduce nutrient losses and improve nutrient use efficiency. Variable-rate fertilization technology has the potential to improve nutrient management. This presentation will discuss the use of multispectral imagery for the development of variable rate fertilization prescriptions for rice and corn in central Arkansas. Methods used to collect multispectral data, stitch images, generate vegetation indices, and create prescription maps will be discussed. Comparison of variable-rate fertilization with uniform fertilization will be made.
Make Input Decisions that Boost Productivity
Presented by: Reagan DeSpain
AgriEdge Manager, Syngenta
Presented by: Dr. Allan Gray
Professor of Agricultural Economics, Purdue University
Presented by: Ashley Green
Digital Ag Solutions Commercial Lead, Syngenta
Don’t get stuck in a situation where a nickel is holding up a dollar! No matter your cropping situation, it’s best to focus on input decisions and productivity because they go hand in hand. In order to turn agronomics into economics, we challenge you to think in terms of costs and benefits per output unit. In this presentation, Reagan DeSpain and Ashley Green from Syngenta and Dr. Allan Gray from Purdue University will review the importance of evaluating productivity versus cost savings and work through examples of how to refine and illustrate input decisions as they relate to productivity. AgriEdge® provides a whole-farm management solution that empowers growers to make faster, data-driven decisions based on five components termed ASSET: Agronomics, Service, Stewardship, Economics and Technology.