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    Field-based Single Plant Phenotyping for Plant Breeding

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    essoar.10510630.1.pdf
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    Description:
    Preprint
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    Type
    Preprint
    Authors
    Crain, Jared cc
    Wang, Xu cc
    Evers, Byron cc
    Poland, Jesse cc
    KAUST Department
    Biological and Environmental Science and Engineering (BESE) Division
    Center for Desert Agriculture
    Center for Desert Agriculture, King Abdullah University of Science and Tech-nology, Thuwal Saudi Arabia
    Plant Science
    Date
    2022-02-24
    Permanent link to this record
    http://hdl.handle.net/10754/677964
    
    Metadata
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    Abstract
    High-throughput phenotyping (HTP) has the potential to revolutionize plant breeding by providing scientists with exponentially more data than was available through traditional observations. Even though data collection is rapidly increasing, the optimum use of this data and implementation in the breeding program has not been thoroughly explored. In an effort to apply HTP to the earliest stages of a plant breeding program, we extended field-based HTP pipelines to evaluate and extract data from spaced single plants. Using a panel of 340 winter wheat lines planted in full plots and grid-spaced single plants for two growing seasons, we evaluated relationships between single plants and full plot yields. Normalized difference vegetation index (NDVI) was collected multiple times through the growing season using an unmanned aerial vehicle. NDVI measurements during grain filling stage from both single plants and full plots were typically positively associated with their respective grain yield with correlation ranging from -0.22 to 0.74. The relationship between single plant NDVI and full plot yield, however, was variable between seasons ranging from -0.40 to 0.06. A genome wide association analysis (GWAS) identified the same significant markers for traits measured in both full plots and single plots, but also displayed variability between growing seasons. Strong genotype by environment interactions could impede selection on quantitative traits, yet these methods could provide an effective tool for plant breeding programs to quickly screen early-generation germplasm especially for qualitative traits. Effective use of early-generation, affordable HTP data could improve overall genetic gain in plant breeding.
    Citation
    Crain, J., Wang, K., Evers, B., & Poland, J. (2022). Field-based Single Plant Phenotyping for Plant Breeding. https://doi.org/10.1002/essoar.10510630.1
    Sponsors
    This publication is supported by the EArly-concept Grants for Exploratory Re-search (EAGER) Grant No. 2019-67013-29008 from the USDA National Institute of Food and Agriculture (NIFA). The genomics work was performed on the Beocat Research Cluster at Kansas State University, which is funded in part by NSF grants CNS-1006860, EPS-1006860, EPS-0919443, ACI-1440548, CHE-1726332, and NIH P20GM113109. Contribution no. 22-047-J from the Kansas Agricultural Experiment Station.
    Publisher
    Wiley
    DOI
    10.1002/essoar.10510630.1
    Additional Links
    http://www.essoar.org/doi/10.1002/essoar.10510630.1
    ae974a485f413a2113503eed53cd6c53
    10.1002/essoar.10510630.1
    Scopus Count
    Collections
    Biological and Environmental Science and Engineering (BESE) Division; Preprints; Center for Desert Agriculture

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