Descripció del contingut i pla d'activitats:
Treball experimental que es realitzarà principalment a una parcel·la experimental d'Agropolis, en els laboratoris de l'ESAB i en els laboratoris d'IDEAE-CSIC. Aquest assaig està vinculat a un projecte RETOS, finançat pel Ministeri d'Economia, Indústria i Competitivitat.
En l'experiment, s'incorporarà com a fertilitzant adobs minerals, fangs de depuradora, purins i compost.
Entre d'altre variable s'avaluaran sucres, lípids i clorofil·les mitjançant tècniques analítiques tradicionals i es contrastaran amb determinacions mitjançant tecnologia NIR.
Overview (resum en anglès): The need for innovation in the biotechnology sector is constant. In the case of the agro-food world, quality control of a product is an essential process of the production chain. The existence of techniques for measuring chemical parameters, such as near infrared spectroscopy (NIR), greatly facilitates this process, allowing considerable time savings. In addition, it is considered a non-destructive method. In this project, this type of spectroscopy has been used as a quality control method in Raphanus sativus var. sativus for the detection of dry matter by means of predictive models with Partial Least Square (PLS). The results of RMSECV (0.0051 g/g FM) RMSEP (0.0044 g/g FM), R2P (0549) and RPD (2.11) obtained lead to consider that it is a reliable model. Although there is still a long way to go to perfect the method in whole radish, it has been possible to demonstrate that in other plants, this technique allows acceptable results to be achieved without damaging the product.