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

The CGIAR Harvest Plus Challenge Program began in the mid-2000s to support the genetic improvement of nutritional quality in various crops, including the carotenoids content of cassava roots. Successful conventional breeding requires a large number of segregating progenies. However, only a few sampl...

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Bibliographic Details

Main Authors:	Davrieux, Fabrice, Dufour, D.L., Dardenne, Pierre, Belalcázar, John Eiver, Pizarro, Mónica, 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.
Format:	Journal Article
Language:	Inglés
Published:	SAGE Publications 2016
Subjects:	manihot esculenta regression analysis carotenoids plant breeding infrared spectroscopy análisis de la regresión carotenoides fitomejoramiento espectroscopia infrarroja
Online Access:	https://hdl.handle.net/10568/73377