Prediction of nutritive values, morphology and agronomic characteristics in forage maize using two applications of NIRS spectrometry

Prediction of nutritive values, morphology and agronomic characteristics in forage maize using two applications of NIRS spectrometry

This study evaluates nutritive, morphological and agronomic characteristics of forage maize predicted by using a high-quality near-infrared (NIR) spectrometer and an NIR hyperspectral-imaging technique using partial least squares (PLS) regression models. The study includes 132 samples of dried mille...

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Bibliographic Details
Main Authors: Mårten Hetta, Zohaib Mussadiq, Johanna Wallsten, Magnus Halling, Christian Swensson, Paul Geladi
Format: Article
Language:English
Published: Taylor & Francis Group 2017-05-01
Series:Acta Agriculturae Scandinavica. Section B, Soil and Plant Science
Subjects:
morphological proportions
chemical composition
multivariate calibration
agronomic performance
robustified rer
robustified rpd
starch
neutral detergent fibre
Online Access:http://dx.doi.org/10.1080/09064710.2017.1278782

Internet

http://dx.doi.org/10.1080/09064710.2017.1278782

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