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

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Davrieux F., Dufour D., Dardenne P., Belalcazar J., Pizarro M., Luna J., Londoño L., Jaramillo A., Sanchez T., Morante N., Calle F., Becerra López-Lavalle L.A., Ceballos H.
2016

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 samples can be quantified by high performance liquid chromatography each day for total carotenoids (TCC) ...

Génétique et amélioration des plantes

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