Published April 7, 2023
| Version v1
Dataset
Open
Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system
Authors/Creators
- 1. Department of Biological Systems Engineering, Washington State University, Pullman, WA, United States
- 2. USDA-ARS, Grain Legume Genetics and Physiology Research Unit, Pullman, WA, United States
Description
The dataset includes the leaf reflectance spectra collected using a spectroradiometer and the associated biomass quality traits from laboratory-based near-infrared reflectance spectroscopy (NIRS) analysis from pea breeding trials. The data is used for analysis in the publication "Evaluation of Forage Quality in a Pea Breeding Program Using a Hyperspectral Sensing System".
Notes
This study was funded by Washington State University's Center for Sustaining Agriculture and Natural Resources BIOAg Program (project ID 184) and the US Department of Agriculture-National Institute of Food and Agriculture (USDA-NIFA) Hatch and Multi-State Hatch projects (accession number 1014919, NC1212).
Files
DatasetSummary.pdf
Files
(1.5 MB)
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Additional details
Related works
- Is cited by
- Journal article: 10.1016/j.compag.2023.108052 (DOI)
References
- Sangjan, W., McGee, R. J., & Sankaran, S. (2023). Evaluation of forage quality in a pea breeding program using a hyperspectral sensing system. Computers and Electronics in Agriculture, 212, 108052.