Near-Infrared Reflectance Estimates of Grain Protein and Malt Extract in Hill and Row Plot Evaluations of Spring Malting Barley

Hayes, P. M.; Broich, Steven L.

doi:10.4141/cjps90-008

Cited by 8 publications

(4 citation statements)

References 8 publications

(5 reference statements)

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“…This peak has been assigned a -SH combination. This agreed with work of Tragoonrung et al 34 in a filter calibration.…”

Section: Vsximr 7tigxvesupporting

confidence: 82%

“…The region from 2176 nm to 2186 nm had been assigned to protein. Starr 33 and Tragoonrung et al 34 also selected a filter wavelength at 2180 nm for barley protein.…”

Section: )79087 %2( (-7'977-32mentioning

confidence: 99%

“…Therefore, it is important to have robust techniques to measure protein content when selecting barley. Near Infrared Reflectance Spectroscopy (NIRS) has been used routinely to predict barley protein content for many years for grain receival 8,37 and more recently in barley breeding programs 14,33,34 .…”

mentioning

confidence: 99%

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Multiple Linear Regression Calibrations for Barley and Malt Protein Based on the Spectra of Hordein

Fox¹,

Onley-Watson²,

Osman³

2002

Journal of the Institute of Brewing

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The feasibility of using NIR spectral information from barley and malt hordein was assessed as to the suitability of developing improved NIR calibrations to predict protein in barley and malt. Using extracted hordein it was possible to gain more information on wavelengths relevant to predict protein with reduced errors. Strong correlations for grain protein and NIR wavelengths were found at 1,116, 1,268, 2,040, 2,068, 2,188 and 2,300 nm. Multiple linear regression equations provided improved predicting power for barley and malt protein with a standard error of prediction of 0.15 and 0.17%, respectively, whereas partial least squares regression gave a standard error of prediction of 0.22 and 0.27% for barley and malt, respectively. The use of NIR becomes more pronounced in breeding programs as NIR is a rapid and non-destructive technique allowing the screening of early generation lines with limited grain quantities. Also, the spectral analysis of native components from resting grain components will assist in building calibrations that provide qualitative values rather than just ranking breeding lines.

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“…This peak has been assigned a -SH combination. This agreed with work of Tragoonrung et al 34 in a filter calibration.…”

Section: Vsximr 7tigxvesupporting

confidence: 82%

“…The region from 2176 nm to 2186 nm had been assigned to protein. Starr 33 and Tragoonrung et al 34 also selected a filter wavelength at 2180 nm for barley protein.…”

Section: )79087 %2( (-7'977-32mentioning

confidence: 99%

See 1 more Smart Citation

Multiple Linear Regression Calibrations for Barley and Malt Protein Based on the Spectra of Hordein

Fox¹,

Onley-Watson²,

Osman³

2002

Journal of the Institute of Brewing

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“…The model major parameters R 2 and RPD reflect acceptable for most applications and screening purposes. Results from this study was comparable and much better than that of previous researchers who developed promising calibrations for predicting the extract of whole grain (R 2 c =0.78 -0.85) [16] and ground barley (R 2 c = 0.77 -0.96) [17]. Because this property is highly influenced by the malting process since enzyme activity during malting influences the malt extract which limits the accuracy of any NIR prediction based on not malted barley.…”

Section: Extract Content Modelsupporting

confidence: 71%

Developing Calibration Model for Prediction of Malt Barley Genotypes Quality Traits using Fourier Transform near Infrared Spectroscopy

Abeshu

Zewdu

2020

Agriculture and Food Sciences Research

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Ethiopia is the second largest barley producer in Africa. But the quality traits are always influenced by the cultivar itself and growing environment. Thus, the study was targeted on developing calibration model for predicting malt barley quality traits of genotypes grown at different locations using near infra-red spectroscopy for selection purposes in barley breeding program. For this purpose, 60 barley samples were collected from Holeta, Debre-Birhan and Bekoji. Samples were chemically analyzed in duplicate for 5 barley traits. The calibration model was developed based on 120 samples spectral data and 60 chemistry data results using the calibration software of the FT-Near Infrared Spectroscopy. The barley Protein calibration model having (R²c= 0.97; RPD=5.7 and R 2 c=0.94; RPD=4.16) respectively, can be regarded as broadly applicable; Extract and Friability (R²c= 0.96; RPD=4.54 and R 2 c=0.95; RPD=4.36) respectively were accepted as useable with good prediction capability; whereas β-Glucan calibration model (R²c= 0.90; RPD=3.18) allowed only for screening purpose in some applications. Barley grain dry matter with model parameters result (R 2 c=0.86; RPD=2.69)shown usable with caution only for rough screening purposes. Hence near infrared spectroscopy is fast and cost-efficient, the breeding program can increase the intensity of variety selection using calibration models reflected good predicting performances except models for dry matter and β-glucan.

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The Application of Near Infrared Spectroscopy to Evaluate Malting Quality

Ratcliffe¹,

Panozzo²

1999

Journal of the Institute of Brewing

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Near infrared (NIR) spectroscopy is a rapid technique which is used within plant breeding programs for the analysis of many grain traits. This study investigated the application of NIR analysis of wort samples to select malting quality cultivars in a barley breeding program. An automatic sampling and data capture system was developed which consisted of a Perten filter NIR instrument with a flow through cell module operating in transflectance mode interfaced with a computer, peristaltic pump and sample changer. Calibrations for hot water extract, free alpha-amino nitrogen and soluble protein were developed using multiple linear regression analysis based on four wavelength terms for each trait. The correlation coefficients for both calibration and prediction data sets were highly significant (P<0.01) and the standard error of prediction was similar to that obtained by standard methods. Cultivars with known malting quality were included in the experiments and their ranking by NIR was consistent with the standard methods. The reported calibrations have been used for over four years to screen early generation breeding lines for malting quality.

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Near-Infrared Reflectance Estimates of Grain Protein and Malt Extract in Hill and Row Plot Evaluations of Spring Malting Barley

Abstract: TRAGooNRUNG, S., HAvES

Cited by 8 publications

References 8 publications

Multiple Linear Regression Calibrations for Barley and Malt Protein Based on the Spectra of Hordein

Multiple Linear Regression Calibrations for Barley and Malt Protein Based on the Spectra of Hordein

Developing Calibration Model for Prediction of Malt Barley Genotypes Quality Traits using Fourier Transform near Infrared Spectroscopy

The Application of Near Infrared Spectroscopy to Evaluate Malting Quality

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