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High throughput phenotyping to accelerate crop breeding and monitoring of diseases in the field

Journal Article · · Current Opinion in Plant Biology
 [1];  [2];  [2]
  1. Donald Danforth Plant Science Center, Creve Coeur, MO (United States); Donald Danforth Plant Science Center
  2. Donald Danforth Plant Science Center, Creve Coeur, MO (United States)
Effective implementation of technology that facilitates accurate and high-throughput screening of thousands of field-grown lines is critical for accelerating crop improvement and breeding strategies for higher yield and disease tolerance. Progress in the development of field-based high throughput phenotyping methods has advanced considerably in the last 10 years through technological progress in sensor development and high-performance computing. In this paper, we review recent advances in high throughput field phenotyping technologies designed to inform the genetics of quantitative traits, including crop yield and disease tolerance. Successful application of phenotyping platforms to advance crop breeding and identify and monitor disease requires: (1) high resolution of imaging and environmental sensors; (2) quality data products that facilitate computer vision, machine learning and GIS; (3) capacity infrastructure for data management and analysis; and (4) automated environmental data collection. Finally, accelerated breeding for agriculturally relevant crop traits is key to the development of improved varieties and is critically dependent on high-resolution, high-throughput field-scale phenotyping technologies that can efficiently discriminate better performing lines within a larger population and across multiple environments.
Research Organization:
Donald Danforth Plant Science Center, Creve Coeur, MO (United States)
Sponsoring Organization:
Bill & Melinda Gates Foundation (United States); USDOE Advanced Research Projects Agency - Energy (ARPA-E); USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AR0000594; AR0000595; SC0014395
OSTI ID:
1417491
Alternate ID(s):
OSTI ID: 1549642
Journal Information:
Current Opinion in Plant Biology, Journal Name: Current Opinion in Plant Biology Vol. 38; ISSN 1369-5266
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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