A data workflow to support plant breeding decisions from a terrestrial field-based high-throughput plant phenotyping system.

ABSTRACT: Field-based high-throughput plant phenotyping (FB-HTPP) has been a primary focus for crop improvement to meet the demands of a growing population in a changing environment. Over the years, breeders, geneticists, physiologists, and agronomists have been able to improve the understanding between complex dynamic traits and plant response to changing environmental conditions using FB-HTPP. However, the volume, velocity, and variety of data captured by FB-HTPP can be problematic, requiring large data stores, databases, and computationally intensive data processing pipelines. To be fully effective, FB-HTTP data workflows including applications for database implementation, data processing, and data interpretation must be developed and optimized. At the US Arid Land Agricultural Center in Maricopa

SUBMITTER: Thompson AL 

PROVIDER: S-EPMC7364621 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature