Hyperspectral Reflectance Data and Agronomic Traits Can Predict Biomass Yield in Winter Rye Hybrids
Hyperspectral Reflectance Data and Agronomic Traits Can Predict Biomass Yield in Winter Rye Hybrids
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
Subjects
More information
Scope and Contents
Contents
Winter rye (
Secale cereale
L.), a potential alternative biogas substrate, is traditionally bred for grain yield. Thus, our objective was to evaluate the possibility to predict dry matter yield combining vegetation indices derived from visible to NIR spectral data as a proxy for agronomic traits. A total of 404 elite rye hybrids were tested f...
Alternative Titles
Full title
Hyperspectral Reflectance Data and Agronomic Traits Can Predict Biomass Yield in Winter Rye Hybrids
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2394633585
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2394633585
Other Identifiers
ISSN
1939-1234
E-ISSN
1939-1242
DOI
10.1007/s12155-019-10080-z
