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Local regression algorithm improves NIRS predictions when the target constituent evolves in breeding populations

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Title Local regression algorithm improves NIRS 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
plant breeding
carotenoids
regression analysis
fitomejoramiento
carotenoides
análisis de la regresión
 
Date 2015
2016-03-10T20:47:23Z
2016-03-10T20:47:23Z
 
Type Conference Proceedings
 
Identifier Davrieux, Fabrice; Dufour, Dominique; Dardenne, Pierre; Belalcazar, John; Pizarro, Monica; Luna Melendez, Jorge Luis; Londono, Luis; Jaramillo Valencia, Angelica Maria; Sanchez, Teresa; Morante, Nelson; Calle, Fernando; Becerra, Luis Augusto; Ceballos, Hernan. 2015. Local regression algorithm improves NIRS predictions when the target constituent evolves in breeding populations . In: NIR2015 Brazil, Highlighting South America. 17th International Conference on Near Infrared Spectroscopy, Foz do Iguassu - Brazil - 18th to 23rd October 2015. 1 p.
https://hdl.handle.net/10568/72558
https://proceedings.galoa.com.br/nir-abstracts/papers/local_regression_algorithm_improves_nirs_predictions_when_the_target_constituent_evolves_in_breeding
 
Language en
 
Rights Open Access
 
Format 1 p.