Variation in Malting Quality and Heat Resistance in the Malting Barley Variety “Alexis”

2004

Self Cite

A new germinative two-dimensional classification plot fully compatible to the current EBC analyses (EBC methods 3.5-3.7) is proposed for malting barley based on separate estimates for "vigour" (24 h germination) as abscissa with limits at 70% and 30% and for "viability" (72 h germination) as ordinate with limits at 98% and 92%. Early detection of germination by image analysis was improved by utilising the auto fluorescence of the root cap. The seven hierarchical germinative classes visualise the quality differences in a consistent way, ordering classes according to falling extract % and increasing wort ␤-glucan (mg/L).It was surprising to discover that significant barley Near Infrared Transmission (NIT) spectroscopy based Partial Least Squares Regression prediction models for "vigour" and "viability" were obtained after removing the PLSR outliers. The majority of these were found to be low in vigour.It was concluded after experimental validation that the physical-chemical structure of the seed, reflected by the correlation of the barley NIT spectral fingerprints to germination speed, is connected to the availability of substrate for germ growth. This is another aspect of the speed of malt modification.An automated combination instrument for measuring physicalchemical and seed germination parameters is suggested for quality control and to establish an on-line NIT calibration network for integrated germinative and malting quality classification.

Section: Methodsmentioning

confidence: 80%

Section: Methodsmentioning

confidence: 99%

Section: Germination Analysesmentioning

confidence: 99%

Section: Germination Analysesmentioning

confidence: 99%

See 2 more Smart Citations

A New Germinative Classification Model of Barley for Prediction of Malt Quality Amplified by a Near Infrared Transmission Spectroscopy Calibration for Vigour “On Line” Both Implemented by Multivariate Data Analysis

Munck

2004

Self Cite

“…The genetic and environmental background for heat resistance of germination found in several barley samples in this investigation will be discussed in a subsequent publication 17 .…”

Section: '32'097-327mentioning

confidence: 91%

Seed Vigour In Relation To Heat Sensitivity And Heat Resistance In Barley Evaluated By Multivariate Data Analysis

Munck

2002

Self Cite

The vigour loss model based on normal distribution after artificially ageing by heat treatment of barley seeds developed by Ellis and Roberts and further developed at Carlsberg by Aastrup et al. introducing vigour potential (VP), does not adequately describe seed vigour for all barley samples. In a preliminary investigation we have identified heat-resistant barley samples. In this investigation we found untreated barley samples from the field where heat treatment as high as 68C for 4 h at 12% water content only decreases germination from 99.0% to 93.8% compared with 94.8% to 0.0% for some of the heat-sensitive barleys following the above mentioned model. The correlation between germination velocity measured by the germination index (GI) of untreated samples and VP is not consistent when comparing different barley material. It is concluded that the classic vigour loss model for heat treatment may be used as a worst case prediction for germination, but it does not address the variation found in practice, including the possible advantage of exploiting the naturally occurring heat resistance.

Near Infrared Transmission Spectra of Barley of Malting Grade Represent a Physical-Chemical Fingerprint of the Sample That Is Able to Predict Germinative Vigour in a Multivariate Data Evaluation Model

2004

Self Cite

The physiological and physical-chemical basis of barley germination was studied. Vigour was defined as germination percentage after 24 h and viability as that of 72 h. The barley samples were analysed under germination capacity and energy conditions after harvest and after long time cold storage at 7°C three-six years. These parameters were each correlated by Partial Least Squares Regression (PLSR) to two separate multivariate data sets: a set of ten physical-chemical parameters and to Near Infrared Transmission (NIT) spectra (850-1050 nm). Surprisingly high correlation coefficients for each of these two data sets were obtained especially with vigour, extract (%) and ␤-glucan in wort (mg/L) when outliers with viability below 92% were removed. Hard, slowly germinating seeds were more resistant to decay in vigour and viability storage than soft seeds. This change could be predicted by PLSR correlations to the two physicalchemical multivariate methods. Vigour was a more sensitive indicator for the ability to store than viability. The steep criterion was also found to have a physical-chemical basis. The results indicate that NIT calibrations can be used to predict vigour in malting grade barley.