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

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Date
2016-05
Language
en
Type
Journal Article
Review status
Peer Review
Accessibility
Limited Access
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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 cite or share this item: https://hdl.handle.net/10568/73377
DOI: https://dx.doi.org/doi:10.1255/jnirs.1213
CGIAR Author ORCID iDs
Dominique Dufourhttps://orcid.org/0000-0002-6046-0741
Pierre Dardennehttps://orcid.org/0000-0002-6866-8467
Jorge Luis Luna Meléndezhttps://orcid.org/0000-0002-3341-1039
Luis Augusto Becerra Lopez-Lavallehttps://orcid.org/0000-0003-3520-2270
Hernan Ceballoshttps://orcid.org/0000-0002-8744-7918
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AGROVOC Keywords
Subjects
BIOFORTIFICATION; CASSAVA; PLANT BREEDING;
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