LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations

Thumbnail

Authors
Davrieux, Fabrice
Dufour, DominiqueThumbnail
Dardenne, PierreThumbnail
Belalcázar, John
Pizarro, Monica
Luna Meléndez, Jorge LuisThumbnail
Londoño, Luis
Jaramillo, Angelica
Sanchez, Teresa
Morante, Nelson
Calle, Fernando
Becerra López Lavelle, Luis AugustoThumbnail
Ceballos, Hernán
Date
2016-05
Language
en
Type
Journal Article
Review status
Peer Review
Accessibility
Limited Access
Metadata
Show full item record
Share
Citation
Davrieux, F.; Dufour, Dominique; Dardenne, Pierre; Belalcazar, John; Pizarro, Monica; Luna Meléndez, Jorge Luis; Londoño, Luis; Jaramillo, Angelica; Sanchez, Teresa; Morante, Nelson; Calle, Fernando; Becerra Lopez-Lavalle, Luis Augusto; Ceballos, Hernan. 2016. LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations. Journal Of Near Infrared Spectroscopy 24 (2): 109-117.
Permanent link to this item: http://hdl.handle.net/10568/73377
DOI: https://dx.doi.org/doi:10.1255/jnirs.1213
CGIAR Affiliations
AGROVOC Keywords
Subjects
BIOFORTIFICATION; CASSAVA; PLANT BREEDING;
Collections