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2019 ASHS Annual Conference

High Throughput Phenotyping of UCB-1 (Pistacia atlantica x P. integerrima) Seedling Rootstocks in Experimental Pistachio Orchard

Thursday, July 25, 2019: 2:00 PM
Montecristo 4 (Tropicana Las Vegas)
Ewelina Jacygrad, Foundation Plant Services, UC Davis, Davis, CA
Sean Hogan, Division of Agriculture and Natural Resources, UC Davis, Davis
Alireza Pourreza, Department of Biological and Agricultural Engineering, UC Davis, Davis, CA
John E Preece, National Clonal Germplasm Repository USDA-ARS, Davis, CA
William J. Palmer, Genome Center, UC Davis, Davis, CA
Richard Michelmore, University of California, Davis, Davis, CA
Deborah Golino, Foundation Plant Services, UC Davis, Davis, CA
‘UCB-1’ is currently the most commonly used pistachio rootstock in California but it varies because it is a population of F1 seedlings from a cross between two heterozygous outbreeding species. Phenotyping of large orchard populations is labor inefficient and expensive. High-throughput phenotyping (HTP) using drones allows analysis of many genotypes in multiple locations. A DJI Matrice 100 drone, equipped with both a conventional DJI X3 12 MP red-green-blue (RGB) camera and a Micasense RedEdge multispectral (blue, green, red, red edge, and near infrared) imager was flown over a 3.5 acre experimental pistachio orchard at UC Davis’s Russell Ranch multiple times during 2018. Tree height and canopy volume of 480 five year old UCB-1 seedlings were recorded. These flights were conducted at an altitude of 30 meters above ground level, using a pre-planned crosshatched (grid) autonomous flight plan, with the cameras set to trigger along the drone’s path such that each picture would have an approximately 90% overlap with each adjacent picture. The resulting RGB orthomosaics were found to have a spatial resolution (ground sample distance) of approximately 1.5 cm, and the multispectral imagery a spatial resolution of 1.8 cm. This HTP reduced measurement error and facilitated the determination of dynamic traits such as tree height and canopy volume.
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