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

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Title LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations
 
Creator Davrieux, Fabrice
Dufour, D.L.
Dardenne, Pierre
Belalcázar, John Eiver
Pizarro, Monica
Luna Meléndez, Jorge Luis
Londoño Hernandez, Luis Fernando
Jaramillo Valencia, Angélica M.
Sánchez, Teresa
Morante, Nelson
Calle, Fernando
Becerra López Lavelle, Luis Augusto
Ceballos, H.
 
Subject manihot esculenta
regression analysis
carotenoids
plant breeding
infrared spectroscopy
análisis de la regresión
carotenoides
fitomejoramiento
espectroscopia infrarroja
 
Date 2016-04
2016-05-11T20:48:17Z
2016-05-11T20:48:17Z
 
Type Journal Article
 
Identifier 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.
0967-0335
https://hdl.handle.net/10568/73377
https://doi.org/10.1255/jnirs.1213
 
Language en
 
Rights Copyrighted; all rights reserved
Limited Access
 
Format 24 (2): 109-117
 
Publisher IM Publications Open LLP
 
Source Journal of Near Infrared Spectroscopy