Early detection of non-visible sprouting in barley seed using rapid viscosity analysis

Bueckert, Rosalind; Lefol, E.; Harvey, B. L.

doi:10.4141/p05-068

Cited by 3 publications

(3 citation statements)

References 21 publications

(32 reference statements)

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“…In a comparison of a-amylase and RVA analyses of sproutdamaged barley, good correlations between loss of viability in storage and test results were reported (r = -0.80 and 0.85 for ln transformation of days to 95% viability, respectively) (Bason et al 1993). For large-scale testing of barley samples for IG, a-amylase analysis was found to be more laborious and less suitable than RVA analysis (Bueckert et al 2007). In studies in which minimal decline in GE was observed, correlations of GE loss against initial RVA results and a-amylase activity were relatively poor.…”

Section: Discussionmentioning

confidence: 98%

“…IG in barley usually is not detectable by visual inspection, pearling, or staining with fluorescein dibutyrate (Heisel et al 2004;Schwarz et al 2004), but it can be assessed by starch gel viscosity following a prescribed heating and stirring sequence with a Rapid Visco Analyzer (RVA, Perten Instruments, Hägersten, Sweden) (Bason et al 1993;Bueckert et al 2007;Izydorczyk 2009;Perten Instruments 2013). Safe storage periods for barley with and without IG have been estimated from RVA results taking into account temperature and humidity during storage and initial moisture content of the grain (Izydorczyk 2009;Perten Instruments 2013).…”

mentioning

confidence: 99%

“…The RVA method is an indirect measurement of a-amylase activity, which is elevated in IG (Bueckert et al 2007). A second indirect method of determining a-amylase activity is the falling number technique, which also is a method of measuring starch gel viscosity.…”

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confidence: 99%

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Detection of Incipient Germination in Malting Barley with a Starch Viscosity Method and a Proposed Ethanol Emission Method

Buckley

Izydorczyk²,

Legge

2016

Cereal Chem

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Cereal Chem. 93(5):450-455The risk of germination loss during storage in two-row malting barley can be reduced by identifying grain lots that have undergone incipient germination (IG) during harvest. A method based on starch viscosity that utilizes a Rapid Visco Analyzer (RVA) is currently available for IG analysis. A new potential method, based on the measurement of ethanol emission (EE) from whole barley, may be more efficient and less expensive than the RVA procedure. Three storage experiments were performed: experiments 1 and 3 at 25°C and 80% rh, and experiment 2 in unheated, uninsulated buildings. Decline in germination energy (GE) varied from <1% to about 80% during storage. In experiments 1 and 3, R 2 for GE loss (expressed as [weeks to 5% loss of GE] 0.2 ) versus EE was 0.76 in both cases, whereas R 2 for GE loss versus RVA viscosity was 0.64 and 0.68, respectively. In experiment 2, the greatest loss of GE was associated with high temperatures and relative humidity in July and August. EE performed as well as RVA in the prediction of germination loss in all three trials. Although further evaluation of the EE method is required, it appears to be a promising alternative to the RVA

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Section: Discussionmentioning

confidence: 98%

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confidence: 99%

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Detection of Incipient Germination in Malting Barley with a Starch Viscosity Method and a Proposed Ethanol Emission Method

Buckley

Izydorczyk²,

Legge

2016

Cereal Chem

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Characterisation of non-viable whole barley, wheat and sorghum grains using near-infrared hyperspectral data and chemometrics

et al. 2011

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Undesired germination of cereal grains diminishes process utility and economic return. Pre-germination, the term used to describe untimely germination, leads to reduced viability of a grain sample. Accurate and rapid identification of non-viable grain is necessary to reduce losses associated with pre-germination. Viability of barley, wheat and sorghum grains was investigated with near-infrared hyperspectral imaging. Principal component analyses applied to cleaned hyperspectral images were able to differentiate between viable and non-viable classes in principal component (PC) five for barley and sorghum and in PC6 for wheat. An OH stretching and deformation combination mode (1,920-1,940 nm) featured in the loading line plots of these PCs; this water-based vibrational mode was a major contributor to the viable/non-viable differentiation. Viable and non-viable classes for partial least squares-discriminant analysis (PLS-DA) were assigned from PC scores that correlated with incubation time. The PLS-DA predictions of the viable proportion correlated well with the viable proportion observed using the tetrazolium test. Partial least squares regression analysis could not be used as a source of contrast in the hyperspectral images due to sampling issues.

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Combining ability of barley flour pasting properties

Zhou

Chen

et al. 2008

Journal of Cereal Science

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Early detection of non-visible sprouting in barley seed using rapid viscosity analysis

Cited by 3 publications

References 21 publications

Detection of Incipient Germination in Malting Barley with a Starch Viscosity Method and a Proposed Ethanol Emission Method

Detection of Incipient Germination in Malting Barley with a Starch Viscosity Method and a Proposed Ethanol Emission Method

Characterisation of non-viable whole barley, wheat and sorghum grains using near-infrared hyperspectral data and chemometrics

Combining ability of barley flour pasting properties

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