IngentaConnect The use of near-infrared reflectance spectroscopy NIRS to predict...

Authors: Cozzolino D.^{1, *}; Fassio A.²; Gimenez A.²

Source: Journal of the Science of Food and Agriculture, Volume 81, Number 1, 1 January 2001 , pp. 142-146(5)

Abstract:

Near-infrared reflectance spectroscopy (NIRS) was used to predict the chemical composition of whole maize plants (Zea mays L) in breeding programmes at INIA La Estanzuela, Uruguay. Four hundred samples (n = 400) were scanned from 400 to 2500 nm in an NIRS 6500 monochromator (NIRSystems, Silver Spring, MD, USA). Modified partial least squares (MPLS) regression was applied to scatter-corrected spectra (SNV and detrend). Calibration models for NIRS measurements gave multivariate correlation coefficients of determination (R²) and standard errors of cross-validation (SECV) of 0.72 (SECV 9.5), 0.96 (SECV 7.7), 0.98 (SECV 16.5), 0.96 (SECV 34.3), 0.98 (SECV 17.8) and 0.98 (SECV 6.1) for dry matter (DM), crude protein (CP), acid detergent fibre (ADF), neutral detergent fibre (NDF), in vitro organic matter digestibility (IVOMD) and ash in g kg^-1 on a dry weight basis respectively. This paper shows the potential of NIRS to predict the chemical composition of whole maize plants as a routine method in breeding programmes and for farmer advice.

Keywords: whole maize; near-infrared spectroscopy (NIRS); acid detergent fibre; crude protein; in vitro organic matter digestibility; quality

Language: English

Document Type: Research article

DOI: 10.1002/1097-0010(20010101)81:1<142::AID-JSFA790>3.0.CO;2-I

Affiliations: 1: * 2: Maize Breeding Programme, INIA La Estanzuela, Instituto de Investigacion Agropecuaria (INIA), Colonia, Uruguay

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The use of near-infrared reflectance spectroscopy (NIRS) to predict the composition of whole maize plants