Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Whe...
Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat
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United States: Oxford University Press
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Language
English
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Publisher
United States: Oxford University Press
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Abstract
Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by improving prediction accuracy for grain yield. Hyperspectral cameras quantify canopy reflectance across a wide range of wavelengths that are associated with numerous biophysical and b...
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Full title
Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat
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TN_cdi_proquest_journals_3169764521
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3169764521
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ISSN
2160-1836
E-ISSN
2160-1836
DOI
10.1534/g3.118.200856
