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Improved Barley Near Infra-red Spectroscopy (NIRS) equation

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Title Improved Barley Near Infra-red Spectroscopy (NIRS) equation
 
Identifier https://hdl.handle.net/20.500.11766.1/CWW2TQ
 
Creator Wamatu, Jane
Asmare, Yonas
 
Publisher MELDATA
 
Description A total of 700 spring barley straw samples of genotypic diversity from diverse environments in Morocco were selected and scanned using a FOSS Near Infra-red Spectroscopy (NIRS) System 5000 spectrophotometer in the 1100nm to 2498nm spectral region. Calibration equations for feed quality traits (n=344) were developed using data from NIRS spectra and wet chemistry of representative samples and tested through external validation with the samples (n=137) not included in the calibration sets. A modified partial least-squares (MPLS) regression with independent validation used to confirm the equations and identify possible spectral outliers (GH-value>3, where GH is the Global Mahalanobis distance). Values for coefficient of determination (r2), standard error of prediction SEP(C) and ratio of performance deviation (RPD) were used for validation of the equations. The calibration equations for chemical composition parameters, ash (r2=0.89; RPD=3.02), crude protein (r2 = 0.98; RPD = 6.43), acid detergent fiber (r2 = 0.94; RPD = 4.18), neutral detergent fiber (r2 = 0.88; RPD = 3.89), lignin (r2 = 0.92; RPD = 3.56) and IVOMD (r2=0.64; RPD=1.66) showed good performance and provided reliable estimates of the traits in samples of the validation set. Results demonstrated that feed quality traits of barley straw can be estimated reliably within barley cultivars using NIRS calibration equations integrating broad taxonomic variability and can be used for screening in all cases but IVOMD. The use of the NIRS can facilitate rapid, cost-effective and reliable decision making by researchers and farmers.
 
Subject Agricultural Sciences
barley
nirs
prediction equation
 
Language English
 
Date 2018-11-30
 
Contributor International Livestock Research Institute - ILRI
Jane Ambuku Wamatu (International Center for Agricultural Research in the Dry Areas - ICARDA)
Mounir Louhaichi (International Center for Agricultural Research in the Dry Areas - ICARDA)
Udo Rudiger (International Center for Agricultural Research in the Dry Areas - ICARDA)
Hloniphani Peter Moyo (International Center for Agricultural Research in the Dry Areas - ICARDA)
Matthias Benke (International Center for Agricultural Research in the Dry Areas - ICARDA)