Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

Cozzolino, Daniel; Allder, K.; Roumeliotis, S.; Eglinton, J.

doi:10.1016/j.jcs.2012.07.004

Cited by 25 publications

(21 citation statements)

References 16 publications

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“…As malting quality is of a complex multidimensional nature, principal component analysis is a useful method to graphically display association between traits (e.g., Munck 1991 ; Molina-Cano et al 1997 ; Rey et al 2009 ; Nielsen and Munck 2003 ; Cozzolino et al 2012 ). Principal component plots give an easy-to-interpret picture about the correlation structure of the components for malting quality.…”

Section: Introductionmentioning

confidence: 99%

Breeding progress, genotypic and environmental variation and correlation of quality traits in malting barley in German official variety trials between 1983 and 2015

et al. 2017

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Key message Evaluation of breeding progress for spring barley varieties in Germany showed that both grain yield and malting quality were considerably improved during the last 33 years, and that genetic effects of protein concentration and malting traits were not associated. AbstractBased on historical data, this study aimed to investigate yield potential and malting quality of 187 varieties tested and released in German registration trials to evaluate the value for cultivation and use (VCU) during 1983–2015, and to quantify the environmental variability and the association among traits. We used mixed linear models with multiple linear regression terms to dissect genetic and non-genetic trend components. Grain yield increased by 43% (23.4 dt ha−1) in VCU trials and 35% (14.0 dt ha−1) on-farm relative to 1983. All yield components contributed significantly. Malting quality was also considerably improved by 2.3% for extract content up to 25.1% for friability, relative to 1983, nearly completely due to new varieties. Total variability of individual traits was very different between traits (2.4–24.4% relative to 1983). The relative influence of genotypes on total variation was low for grain yield and its components, whereas it was considerably larger for other traits. We found remarkable differences between phenotypic and genetic correlation coefficients for grain yield and protein concentration with malting traits. The observed positive phenotypic relation between grain yield and malting quality can be attributed to a shift of selection and environmental effects, but genetic correlations showed a negative association. Genetic effects of protein concentration and malting quality were not correlated indicating that both were not genetically linked. Considerable yield progress and improvement of malting quality were achieved despite of their weak to moderate negative genetic dependence.Electronic supplementary materialThe online version of this article (doi:10.1007/s00122-017-2967-4) contains supplementary material, which is available to authorized users.

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Section: Introductionmentioning

confidence: 99%

Breeding progress, genotypic and environmental variation and correlation of quality traits in malting barley in German official variety trials between 1983 and 2015

et al. 2017

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“…The RVA had been used to provide information about pasting characteristics of starch of a particular sample under analysis (e.g., pasting peak viscosity (PV),¯nal viscosity). 3 One of the most important indices that are used to explain rice aging are pasting properties. During storage, changes of pasting properties are correlated to aging process individually.…”

Section: Introductionmentioning

confidence: 99%

Pasting properties by near-infrared reflectance analysis of whole grain paddy rice samples

Siriphollakul

Kanlayanarat

Rittiron

et al. 2015

J. Innov. Opt. Health Sci.

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A rapid predictive method based on near-infrared re°ectance spectroscopy (NIRS) of paddy rice was developed to measure the pasting properties of rice. The paddy rice samples were scanned by a near-infrared re°ectance spectrometer in the wavelength region of 1400-2400 nm and preprocessed by mathematical pretreatments prior to pasting properties analysis using a rapid visco-analyzer (RVA). The results indicated that the developed models of setback (SB), peak viscosity (PV), breakdown (BD) and consistency (CS) provided good prediction results with relatively high correlation coe±cients (0.81-0.96). In addition, the validity of the calibration models was statistically tested. Standard error of prediction (SEPÞ and bias were small enough without any signi¯cance at 95% con¯dence interval. Nonetheless, this study proved that the use of NIRS for predicting pasting properties was feasible in paddy rice and could be applied in commercial trade and research.

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“…The RVA test profile used was reported in a previous study (21). The RVA properties calculated using the software TCW3 (Thermocline, Perten Instruments, NSW, Australia) were pasting viscosity (PV), trough, breakdown, final viscosity, setback, time to peak and pasting temperature (21).…”

Section: Measurement Of Starch Pasting Properties -Rapid Visco Analysermentioning

confidence: 87%

The influence of starch pasting properties and grain protein content on water uptake in barley

2014

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Steeping is the first operation of malting and its purpose is to increase the water content of the grain up to 43-46%; however, such a simple step encompasses several metabolic processes that affect germination and the final malt quality. The aim of this study was to evaluate the effect of initial grain protein (GP) content and starch pasting properties, measured using the Rapid Visco Analyser (RVA) on water uptake in different barley varieties. The partial least squares (PLS2) regression algorithm was used to compare the two data matrices, the independent block of variables X (RVA data and GP) and the dependent block Y (water uptake at different steeping times). The first two PLS2 loadings explained 65 and 23% of the total variation in water uptake in the barley samples. Water uptake at 1 and 2 h was poorly explained by the PLS2 models, while after 5 h the models explained more than 40% of the variability. The results from this study showed that, although a relationship between GP and water uptake exists, it is not universal for all the varieties, indicating that the relationship between GP and water uptake is varietal dependent.

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Feasibility study on the use of multivariate data methods and derivatives to enhance information from barley flour and malt samples analysed using the Rapid Visco Analyser

Cited by 25 publications

References 16 publications

Breeding progress, genotypic and environmental variation and correlation of quality traits in malting barley in German official variety trials between 1983 and 2015

Breeding progress, genotypic and environmental variation and correlation of quality traits in malting barley in German official variety trials between 1983 and 2015

Pasting properties by near-infrared reflectance analysis of whole grain paddy rice samples

The influence of starch pasting properties and grain protein content on water uptake in barley

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