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Original scientific paper

https://doi.org/10.18047/poljo.25.1.7

PREDICTION OF MACRO AND MICROELEMENTS CONTENT IN CROATIAN COMMON BEAN LANDRACES (Phaseolus vulgaris L.) BY NIR SPECTROSCOPY

Marina Vranić orcid id orcid.org/0000-0001-6280-0116 ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, HR-10000 Zagreb, Croatia
Marko Petek orcid id orcid.org/0000-0002-2356-6440 ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, HR-10000 Zagreb, Croatia
Krešimir Bošnjak ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, HR-10000 Zagreb, Croatia
Boris Lazarević ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, HR-10000 Zagreb, Croatia
Klaudija Carović-Stanko orcid id orcid.org/0000-0002-8777-9875 ; University of Zagreb, Faculty of Agriculture, Svetošimunska cesta 25, HR-10000 Zagreb, Croatia


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Abstract

In this study, near-infrared spectroscopy (NIRS) was used to predict the contents of essential macro- and microelements in common bean (Phaseolus vulgaris L.) accessions of most widespread Croatian landraces. Total of 175 samples were used for the model development by modified partial least square (MPLS), principal component regression (PCR) and partial least square (PLS) techniques. Based on the coefficients of determination (R2), standard error of calibration (SEC) and error of prediction (SEP) the models developed were (i) nearly applicable for nitrogen (N) (0.89, 0.12 and 0.45 respectively), (ii) poor for iron (Fe), cinc (Zn), potassium oxide (K2O) and potassium (K), (iii) usable for phosphorus pentoxide (P2O5), phosphorus (P), phytic acid (PA) and manganese (Mn). The MPLS regression statistics suggested the most accurate models developed comparing with PLS and PCR. It was concluded that a wider set of common bean samples needs to be used for macro- and microelements prediction by NIRS.

Keywords

common bean, macronutrients, micronutrients, minerals, NIRS

Hrčak ID:

221097

URI

https://hrcak.srce.hr/221097

Article data in other languages: croatian

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