Predicting Malt Fermentability in Malting Barley Breeding Lines

2019 ◽  
Vol 78 (1) ◽  
pp. 50-62
Author(s):  
Ramon Huerta-Zurita ◽  
John Barr ◽  
Richard D. Horsley ◽  
Paul B. Schwarz
Keyword(s):  
Malting Barley ◽  
Breeding Lines ◽  
Barley Breeding

scholarly journals Evaluation and Use of Genetic Resources in Spring Malting Barley Breeding in Lithuania

2009 ◽  
Vol 63 (1-2) ◽  
pp. 57-62
Author(s):  
Algė Leistrumaitė ◽  
Vanda Paplauskienė ◽  
Audronė Mašauskienė
Keyword(s):  
Grain Yield ◽  
Genetic Resources ◽  
Agronomic Traits ◽  
Spring Barley ◽  
Weather Conditions ◽  
Malting Barley ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Extract Yield ◽  
Growing Conditions

Evaluation and Use of Genetic Resources in Spring Malting Barley Breeding in Lithuania During the period 2004-2006, grain yield stability and malt quality characteristics of 47 spring barley varieties and 55 promising breeding lines from the collection of spring barley genetic resources were investigated at the Lithuanian Institute of Agriculture (LIA). The growing conditions in 2004 were fairly normal compared with the long-term mean, and the years 2005 and 2006 were rather dry. The varieties and breeding lines tested showed from medium to high variation of grain > 2.5 mm yield (CV 11.5-34.3%) and medium variation of grain yield (CV 4.39-13.33%). However, high temperatures and drought in June of 2006 caused a low grain > 2.5 mm yield (by on average 55.0-67.8%). Promising breeding lines were characterised as having higher grain yield and extract output per ha compared with barley varieties. However, the data showed that grain grading 2.5 mm should be improved for the breeding lines. Using the software STABLE we estimated the stability of malting barley quality traits in relation to weather conditions during the crop year, genotype properties for varieties and breeding lines, as well as the interactions of variety and weather conditions. The selection of lines promising in terms of grain yield, > 2.5 mm grain yield and extract yield, was based on their ability to realise the genetic potential in various growing conditions. The highest score in integral assessment of grain yield, grain > 2.5 mm yield and extract yield was identified for the varieties Tocada', Sebastian', Scarlett' and breeding lines: 7939-1, 7661-1, and 8080-4. The varieties and breeding lines that exhibited high grain stability, high grain quality and other agronomic traits were utilised in further breeding programmes.

Identification of Barley Breeding Lines Combining Preharvest Sprouting Resistance with “Canadian-type” Malting Quality

Crop Science ◽  
2013 ◽  
Vol 53 (4) ◽  
pp. 1447-1454 ◽  
Author(s):  
M. J. Edney ◽  
W. G. Legge ◽  
M. S. Izydorczyk ◽  
T. Demeke ◽  
B. G. Rossnagel
Keyword(s):  
Preharvest Sprouting ◽  
Malting Quality ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Sprouting Resistance ◽  
Preharvest Sprouting Resistance

Evaluating resistance of barley breeding lines to scald in field plots

Euphytica ◽  
1984 ◽  
Vol 33 (3) ◽  
pp. 897-901 ◽  
Author(s):  
T. N. Khan ◽  
P. A. Portmann ◽  
Robyn McLean
Keyword(s):  
Breeding Lines ◽  
Barley Breeding ◽  
Field Plots

scholarly journals Evaluation of Canadian barley breeding lines for Fusarium head blight resistance

2015 ◽  
Vol 95 (5) ◽  
pp. 923-929 ◽  
Author(s):  
Xinyao He ◽  
Mohamed Osman ◽  
James Helm ◽  
Flavio Capettini ◽  
Pawan K. Singh
Keyword(s):  
Fusarium Head Blight ◽  
Fusarium Head Blight Resistance ◽  
Correlation Coefficients ◽  
Blight Resistance ◽  
Head Blight ◽  
Breeding Programs ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Days To Heading ◽  
Fhb Resistance

He, X., Osman, M., Helm, J., Capettini, F. and Singh, P. K. 2015. Evaluation of Canadian barley breeding lines for Fusarium head blight resistance. Can. J. Plant Sci. 95: 923–929. Fusarium head blight (FHB) is a major challenge to the successful production of barley in Canada, as well as for end-users such as the malting and brewing industries. Due to the quantitative inheritance of FHB resistance, continuous effort is required to identify breeding lines with improved FHB resistance and incorporate them into crossing schemes to enhance FHB resistance. In the present study, 402 advanced breeding lines from Alberta, Canada, were evaluated in the FHB screening nursery at CIMMYT, Mexico. In 2011 and 2012, FHB incidence was measured on a scale of 1 to 4 to eliminate the most susceptible lines. In 2013 and 2014, 181 lines with the lowest disease scores in the previous 2 yr were tested in replicated experiments for field FHB index, Fusarium-damaged kernels, and deoxynivalenol content. Agronomic and morphological traits, specifically days to heading, plant height, and row and hull types were also evaluated in relations to FHB parameters. Correlation coefficients among the three FHB parameters in both 2013 and 2014 were all significant at P<0.0001, ranging from 0.36 to 0.63. Additional correlation analysis showed that late-maturing, tall, and two-row lines tended to have lower disease, whereas hull type did not show a significant correlation with FHB. Several lines with high and stable FHB resistance similar to that of the resistant checks were identified. These could be used in breeding programs as resistance sources or be registered as new cultivars if their overall attributes meet commercial standards.

scholarly journals Impact of cereal diseases on the qualitative traits of spring barley breeding lines

2017 ◽  
Vol 54 (1) ◽  
pp. 77-90
Author(s):  
Bogna Zawieja ◽  
Ewa Bakinowska ◽  
Andrzej Bichoński ◽  
Wiesław Pilarczyk
Keyword(s):  
Analysis Of Variance ◽  
Logistic Model ◽  
Quantitative Traits ◽  
Spring Barley ◽  
Statistical Tool ◽  
Breeding Lines ◽  
Qualitative Traits ◽  
Barley Breeding ◽  
Cereal Diseases ◽  
The Impact

Summary The differences between individual breeding lines of spring barley and a control variety were tested in terms of several measured (continuous) and qualitative traits. The impact of the qualitative traits (diseases) on the quantitative traits, especially yield, was assessed on the basis of the significance of differences for both qualitative traits and yield. Depending on the type of trait, either a logistic model or analysis of variance was used as a statistical tool. The statistically significant differences between some breeding lines and the control variety were shown. It was observed that in fodder barley both infection by mildew and lodging influenced yield. The results of analyses obtained in the so-called pre-preliminary trials and preliminary trials were different. This fact confirmed the necessity of repeating trials over several years.

scholarly journals Identification of Spring Barley Breeding Lines With Superior Yield Performance and Stability

2020 ◽  
Vol 68 (6) ◽  
pp. 947-958
Author(s):  
Volodymyr Hudzenko ◽  
Tetiana Polishchuk ◽  
Oleksandr Demydov ◽  
Mykola Sardak ◽  
Nataliia Buniak ◽  
...  
Keyword(s):  
Spring Barley ◽  
Genotype By Environment Interaction ◽  
Forest Steppe ◽  
Environment Interaction ◽  
Yield Performance ◽  
Practical Result ◽  
Breeding Lines ◽  
Genotype By Environment ◽  
Barley Breeding ◽  
Main Effects

The aim of the present study was to substantiate theoretically and to test in practice scheme of multi-environment trials at the final stage of spring barley breeding process and to distinguish the genotypes which combine superior yield performance and stability. In the first year of competitive testing (2015) nine promising spring barley breeding lines have been selected under condition of the Central part of Forest-Steppe of Ukraine (latitude 49°64′, longitude 31°08′, altitude 153 m). In 2016 and 2017, the genotypes were additionally tested in two other different agro-climatic zones of Ukraine: Polissia (latitude 50°93′, longitude 31°69′, altitude 126 m) and Northern Steppe (latitude 48°56′, longitude 32°32′, altitude 171 m). In addition to the standard variety Vzirets, the breeding lines were compared with ten widespread spring barley varieties in agricultural production. Significant total yield variability of the genotypes and cross-over genotype by environment interaction has been revealed. It confirmed the validity of proposed combination of spatial (zones) and temporal (years) gradients for more efficient evaluation of the genotype by environment interaction and differentiation of genotypes in terms of yield performance and stability. As a practical result, using additive main effects and multiplicative interaction (AMMI) and genotype main effects plus genotype by environment interaction (GGE) models, four spring barley breeding lines with combination of superior yield performance and high stability have been identified.

scholarly journals Genome-Wide Association Study of Spot Form of Net Blotch Resistance in the Upper Midwest Barley Breeding Programs

2017 ◽  
Vol 107 (1) ◽  
pp. 100-108 ◽  
Author(s):  
R. R. Burlakoti ◽  
S. Gyawali ◽  
S. Chao ◽  
K. P. Smith ◽  
R. D. Horsley ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
The United States ◽  
Genome Wide Association ◽  
Net Blotch ◽  
Upper Midwest ◽  
Breeding Programs ◽  
Breeding Lines ◽  
Barley Breeding ◽  
Genome Wide

Pyrenophora teres f. maculata, the causal agent of spot form of net blotch (SFNB), is an emerging pathogen of barley in the United States and Australia. Compared with net form of net blotch (NFNB), less is known in the U.S. Upper Midwest barley breeding programs about host resistance and quantitative trait loci (QTL) associated with SFNB in breeding lines. The main objective of this study was to identify QTL associated with SFNB resistance in the Upper Midwest two-rowed and six-rowed barley breeding programs using a genome-wide association study approach. A total of 376 breeding lines of barley were evaluated for SFNB resistance at the seedling stage in the greenhouse in Fargo in 2009. The lines were genotyped with 3,072 single nucleotide polymorphism (SNP) markers. Phenotypic evaluation showed a wide range of variability among populations from the four breeding programs and the two barley-row types. The two-rowed barley lines were more susceptible to SFNB than the six-rowed lines. Continuous distributions of SFNB severity indicate the quantitative nature of SFNB resistance. The mixed linear model (MLM) analysis, which included both population structure and kinship matrices, was used to identify significant SNP-SFNB associations. Principal component analysis was used to control false marker-trait association. The linkage disequilibrium (LD) estimates varied among chromosomes (10 to 20 cM). The MLM analysis identified 10 potential QTL in barley: SFNB-2H-8-10, SFNB-2H-38.03, SFNB-3H-58.64, SFNB-3H-78.53, SFNB-3H-91.88, SFNB-3H-117.1, SFNB-5H-155.3, SFNB-6H-5.4, SFNB-6H-33.74, and SFNB-7H-34.82. Among them, four QTL (SFNB-2H-8-10, SFNB-2H-38.03 SFNB-3H-78.53, and SFNB-3H-117.1) have not previously been published. Identification of SFNB resistant lines and QTL associated with SFNB resistance in this study will be useful in the development of barley genotypes with better SFNB resistance.

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