Near‐infrared spectroscopy on combine harvesters to measure maize grain dry matter content and quality parameters

Abstract

Abstract Dry matter (DM) content and quality parameters of maize grain are important traits in breeding of maize hybrids. New developments in near‐infrared spectroscopy (NIRS) allow to determine DM content and product quality parameters directly on plot combine harvesters. The main objective of our study was to examine the potential of NIRS on combine harvester (NOCH) for determination of DM, crude protein (CP) and starch (ST) contents in maize grain. Plot combine harvesters equipped with spectrometers were used. Eleven locations were harvested in Europe during 2003 and 2004. The NOCH calibration models were developed with standard error of prediction (SEP) and coefficient of determination for validation ( R ) of 1.2% and 0.95 for DM, 0.3% and 0.88 for CP, and 1.0% and 0.79 for ST, respectively. NOCH is a promising technology for determination of DM, CP and ST contents of maize grain for breeding purposes, because it automates the assessment of each harvested plot, and the information for making selection decision is rapidly available to plan the next generation.