Proceedings
North American
Barley Researchers Workshop
Contents
Abstracts
1. Genetic
variation for nitrogen uptake in spring barley. (Yadeta Anbessa, Patricia Juskiw, Allen Good and James
Helm)
2. Exploiting
historical malting quality data from the Western Canadian Cooperative Two-row
Barley trials using association mapping (Aaron
D. Beattie, Brian G. Rossnagel and Michael J. Edney) (for full paper, see p 45)
3. Illuminating
the Biofuel Potential of Barley Straw (Victoria Carollo Blake and Thomas K.
Blake)
4. Barley
Boulevard: A New Barley Information
Portal on GrainGenes
(Victoria Carollo Blake, David E. Matthews, Gerard L. Lazo, Olin D. Anderson)
5.
The Journey: From a Breeder's Cross to a Malting
Barley Variety (A. D.
Budde and K. P. Smith)
6. A Comparison of Barley Malt Amylolytic Enzyme
Activities and Malt Sugar Concentrations (
7. A Comparison of Barley Malt Quality Measurements and
Malt Sugar Concentrations (
8. Osmolyte
Concentration: A New Method for
Determining Malt Quality (
9.
Barley homogeneity: Measurement and importance for
malting (Michael J. Edney, Aaron MacLeod, Steve Symons, John
O'Donovan, Kelly Turkington, and George Clayton)
10. The Impact
of qGPC6H on Malting Quality, Grain Composition and Agronomic
Performance (A. Fischer,
G. Fischer, D. Parrott, A. Budde, V.C. Blake, T.K. Blake)
11. Net blotch
quantitative trait loci - their
practical application in barley breeding (Tajinder
S. Grewal, Brian G. Rossnagel and Graham J. Scoles) (for full paper, see p 50)
12. Using
genetics to advance breeding: donning
the winter
13. Nitrogen
effects on low-protein and semidwarf genotypes for malting barley production in
western
14. Evaluation
of European barley genotypes for adaptation in the
15. Understanding the genetics of barley
β-glucan and diastatic power: ARS Aberdeens
initial steps toward marker-assisted selection in barley. (Eric Jackson,
17. Stripe rust of barley and wheat in
central
18. Low phytate
barley: The effect upon amino acid utilization during wort fermentation (Dennis E Langrell, Michael J Edney,
William G Legge, and Brian G Rossnagel)
19. A new
high-throughput screening method for measuring lipoxygenase in barley seed (Yin
Li and Paul Schwarz)
20. Study of the effects of Pre-harvest Sprouting
on the Storability and Malting quality of AC Metcalfe, CDC Kendall and CDC
Copeland Barleys (Yueshu Li,
21. Nutritional
and functional properties of whole grain barley bagels (C.Lukie, L. Malcolmson, A. Sarkar, and
22. Screening
for bird cherry-oat aphid resistance in barley (Do
Mornhinweg and Harold Bockelman)
23. An overview
of the barley coordinated agricultural project (Gary Muehlbauer)
24. Variation,
causes, and significance of grain hardness in barley for food (Sindhu Nair, Byung-Kee Baik, and Steve Ullrich)
25. Waxy Barley:
N Applications for Yield, Beta-glucan, and Protein (O. Steven Norberg, Brad Brown, Clint
Shock, Andrew Ross, Pat Hayes, and Juan Rey)
26. Prediction
of Deoxynivalenol (DON) content in grain using Near Infrared Reflectance
Spectroscopy (NIRS) (Lori
Oatway, James Helm and Kequan Xi)
27. Association
mapping of malt quality QTL in the U of M barley breeding program: Detection,
validation, and breeding (C.A. Powers, Paul
Schwarz, Yin Li, K.P. Smith)
28. Distribution
and Diversity of Russian Wheat Aphid (Homoptera: Aphididae) Biotypes in
29. Fluorescence
microplate readers as an alternative to flow injection analysis for
determination of wort beta-glucan (Mark R. Schmitt and Allen D. Budde)
30. Let's get
small: Miniaturized malt quality
analysis for fun and profit (Mark R. Schmitt and Allen D. Budde)
31. Barley and
oat grain and malt beta-glucan content measured by Calcofluor fluorescence in a
microplate assay (Mark R. Schmitt and Mitchell Wise
32. Survey of
Barley Producers in
33. Association
mapping of Fusarium head blight QTL using contemporary barley breeding
germplasm (Kevin P. Smith, Jon Massman,
34. Progress
towards predictive models for Fusarium Head Blight and DON in barley (J.
Stein, K. Bondalapati, L. Osborne, S. Neate, and C. Hollingsworth) Poster or
oral
35. Identification of a putative new
barley leaf rust resistance gene (Y. Sun and S.M. Neate)
36. Barley Feed
Quality - Is It Consistent Across Species? (Mary Lou Swift, James Helm, Tim McAllister, Fred
Silversides, and Ruurd Zijlstra)
37. Expression
analysis of ethylene biosynthesis and receptor genes from barley embryo and tissue culture (Neerja Tyagi and Lynn S. Dahleen)
38. Greenhouse
and Field Demonstration of Microbial Suppression of Fusarium Head Blight in
Barley (J.E. Van
Cauwenberge, Schisler, D.A., Cooper, D., Smith, K. P)
39. β-Amylase
activity and thermostability in wild and cultivated barleys with different Bmy1
intron III alleles (Marcus A. Vinje, Stanley H. Duke, and
Cynthia A. Henson)
40. Differential
41. Agronomic practices to improve winter
hardiness of two-row winter malt barley Charles (Juliet Windes and
42. Tocol Content
of Barley
43. Validation
of molecular markers for scald resistance in two-row barley (Zantinge
J.L., Juskiw, P., Hartman, Z., and Xi K)
44. QTL Mapping
and Molecular Marker Development for Seed Dormancy in Spring Barley (J.L. Zantinge, J Nyachiro, S. Xue, J. H. Helm, P.
E. Juskiw and D. Salmon)
Full Papers
45.
Exploiting historical malting quality data from the Western Canadian
Cooperative two-row barley trials using association mapping. Aaron D. Beattie, Brian G. Rossnagel, and
Michael J. Edney.
50. Net
blotch quantitative trait loci Their practical application in barley
breeding. Tajinder S. Grewal, Brian G. Rossnagel, and Graham J. Scoles.
Genetic variation for nitrogen uptake
in spring barley
Yadeta Anbessa1*, Patricia Juskiw1, Allen Good2 and James Helm1. Field Crop Development Centre,
Alberta Agriculture and Rural Development, Lacombe, AB; Department of
Biological Sciences, University of Alberta, Edmonton, AB
*Corresponding Author:
Increased
nitrogen uptake and utilization efficiencies are desirable to reduce the
negative effect of excessive N on the environment and cut the need for
expensive N fertilizer. As part of a
venture to establish a baseline for the nitrogen use efficiency (
Exploiting historical malting quality
data from the Western Canadian Cooperative Two-row Barley trials using
association mapping
Aaron D. Beattie1*, Brian G. Rossnagel1 and Michael J. Edney2
1Crop Development Centre,
2Grain Research Laboratory, Canadian
Grain Commission,
*Corresponding author:
Association mapping (AM) is a method
to detect significant correlations between genotypic and phenotypic data using
linkage disequilibrium (or the non-random association between alleles). Unlike QTL analysis, AM does not require
production of a structured, experimental population, but can be used with
unrelated genotypes (or for which the relationships between genotypes are taken
into account). AM can exploit the larger
number of segregating loci in such populations and typically allows more traits
to be studied at once since there is more phenotypic variability. In addition, historical phenotypic data (such
as that typically collected during collaborative testing) can be analyzed. A mixed-model approach was used to study
seven malting quality traits in 91 barley genotypes from the 1994-2006 Western
Canadian Co-operative Two-Row Barley trials.
These genotypes represent elite malting quality genotypes from eight
breeding programs, including the currently most popular Canadian malting
varieties (AC Metcalfe, CDC Copeland, CDC Kendall, Harrington, Newdale) and
newer varieties such as Calder, CDC Select, CDC Aurora Nijo, CDC Reserve and
CDC Meredith.
Illuminating the Biofuel Potential of
Barley Straw
Victoria Carollo Blake* and Thomas K.
Blake
Department of Plant Sciences and Plant
Pathology,MontanaStateUniversity,
Corresponding author:
As our need for biofuels to supplement
petroleum-based fuels increases, so will our need for feedstocks for ethanol
production. Barley straw, which to date
has been an `agricultural waste' product in most industrialized barley growing
regions, should be a prime candidate for ethanol production. The USDA Barley World Core Collection is a
1,917 member collection of Hordeum spp. representing barley accessions
from six continents and provides a wealth of genetic diversity. We have screened this collection for three
years for in rumen dry matter digestibility (%DMD) and found barley
straw to vary from 34% to 79% digestible.
Further analyses of the most digestible lines have revealed that a
select few of these accessions contain a significant soluble carbohydrate
concentration in the forage and straw.
These soluble carbohydrates are ready solubilized in 37บC water and
could potentially enable the `leftover' straw from a barley crop to be
efficiently used in ethanol production.
Association analysis with Illumina genotyping data from 378 of the
Barley Boulevard: A New Barley Information Portal on GrainGenes
Victoria Carollo Blake1*, David E. Matthews2, Gerard L. Lazo3, Olin D. Anderson3
1 Dept. of Plant Sciences and Plant
Pathology,
2 USDA-ARS/Dept. of Plant Breeding and
Genetics,
3 USDA-
Corresponding author:
GrainGenes, the international database
and web site for the Triticeae and Avena (http://wheat.pw.usda.gov), has
been a leading repository of information on genetics and genomics since
1992. As the wealth of information
within the database and web site grows, so does our need to continue to
organize the data. Last year, GrainGenes
launched
The
Journey: From a Breeder's Cross to a Malting Barley Variety.
A. D. Budde* and K. P. Smith. USDA ARS Cereal Crops Research Unit,
*Corresponding author
The process of generating a barley
variety takes at least eight to ten years from the time the cross is made until
a new variety is released. Each year 50
to 100 crosses are made each one producing hundreds of progeny. Years later after cycles of inbreeding,
selection, and evaluation for numerous traits a couple of these progeny will
make it into the AMBA pilot malting evaluation program and possibly to plant
scale brewing tests before being released as a variety. The variety Rasmusson has recently made
this journey and is used to illustrate how a line is evaluated as a potential
malting barley. A timeline with quality
data documenting progress for advancing this line to malting barley status is
presented.
A
Comparison of Barley Malt Amylolytic Enzyme Activities and Malt Sugar
Concentrations
Stanley
H. Duke*, Department of Agronomy, University of Wisconsin, Madison, WI; and Cynthia A. Henson, United States
Department of Agriculture-Agricultural Research Service, Cereal Crops Research
Unit, Madison, WI, and Department of Agronomy, University of Wisconsin,
Madison, WI
*Corresponding
author:
This
study was conducted to test the hypothesis that barley malt α-amylase
activity would correlate better with malt sugar concentrations than the
activities of β-amylase, or limit dextrinase. Seeds of four two-row and four six-row North
American elite barley cultivars were steeped and germinated in a micromalter
for 6 days. At 24h intervals throughout
germination, green malt was removed and kilned.
Malts were assayed for individual amylolytic activities and malt sugars
were extracted and assayed. Increases in
malt α- and β-amylase and limit dextrinase activities were greatest
between day 1 and day 2 of germination.
Over all days of germination, for all cultivars combined, malt
α-amylase activities correlated much better with total sugar concentrations
(r=0.830, P<0.0001) than β-amylase activities (r=0.665,
P<0.0001), and somewhat better than limit dextrinase activities (r=0.785,
P<0.0001). Correlations
of individual sugar concentrations
(glucose, maltose, sucrose, fructose, and the maltodextrins maltotriose through
maltoheptaose) for all cultivars combined over all days of germination were
greater with α-amylase activities than with β-amylase or limit
dextrinase activities (e.g. glucose and maltose r value, respectively:
α-amylase, r=0.872, P<0.0001, r=0.763, P<0.0001;
β-amylase, P=0.587, P<0.0001, r=0.679, P<0.0001;
and limit dextrinase, r=0.806, P<0.0001,
r=0.733, P<0.0001).
Over all days of germination, individual cultivar malt α-amylase
activities correlated better with total sugar concentrations (low to high, r=0.738,
P<0.0001 [Harrington] to r=0.925, P<0.0001 [Legacy])
than β-amylase activities (low to high, r=0.446, P=0.064
[Harrington] to r=0.891, P<0.0001 [Legacy]) or limit
dextrinase activities (low to high, r=0.577, P=0.012 [Harrington]
to r=0.867, P<0.0001 [Lacey]) . Correlations of individual sugar
concentrations for individual cultivars over all days of germination, for the
most part, were greater with α-amylase activities than with β-amylase
or limit dextrinase activities (e. g. low to high r values for glucose:
α-amylase, r=0.791, P<0.0001 [Garnet] to r=0.901, P<0.0001
[B1202]; β-amylase, r=0.619.
P=0.0008 [B1202] to r=0.849, P<0.0001 [Garnet]; limit
dextrinase, r=0.763, P=0.0002
[Harrington] to r=0.890, P<0.0001 [Merit]). Overall, malt α-amylase activity
correlated better with sugar production during malting and a short period of
mashing than other malt amylolytic enzymes, supporting the tested hypothesis.
A
Comparison of Barley Malt Quality Measurements and Malt Sugar Concentrations
Stanley
H. Duke*, Department of Agronomy, University of Wisconsin, WI and Cynthia A.
Henson, USDA-ARS, Cereal Crops Research Unit, Madison, WI, and Department of
Agronomy, University of Wisconsin, WI
*Corresponding
author:
This
study was conducted to test two hypotheses: (1) that malt osmolyte
concentration (OC) values would be better correlated with malt sugar
concentrations than malt extract (ME) values and (2) that malt α-amylase
activity (α-AA) would be better correlated with malt sugar concentrations
than diastatic power (DP). Seeds of four
two-row and four six-row barley genotypes were steeped and germinated in a
micromalter for 6 days. At intervals of
24 hr throughout germination, green malt was removed and kilned and then
assayed for ME, OC, DP, α-AA, and sugar concentrations. Sugars were extracted from milled malt in H2O
at 70ฐC for 30 min. Except for cv.
Harrington, total sugars increased throughout the entire 6 days of germination
regime in two-row genotypes but either declined or plateaued after 4 days of
germination in the six-row genotypes.
Over all days of germination for all genotypes combined, OC correlated
much better than ME with total sugar concentrations (OC, r=0.867, P<0.0001;
ME, r=0.589, P<0.0001), strongly supporting the first
hypothesis. When correlating individual
sugar concentrations with ME and OC for all days of germination for all
genotypes combined, OC also correlated much better than ME with glucose,
maltose, sucrose, fructose, and the maltodextrins maltotriose through
maltoheptaose [e.g. low to high r values for OC, r=0.642
(fructose) to r=0.924 and 0.928 (glucose and maltotetratose,
respectively), P<0.0001; low
to high r values for ME, r=0.282 (fructose) to r=0.723
(glucose), P=0.0524 to <0.0001], strongly supporting the first
hypothesis. The increases in OC over six
days (48 and 58%, respectively for 2- and 6-row) were reflected by increases in
total malt sugars (48 and 66%, respectively for 2- and 6-row). In contrast, increases in ME over the same
period (3.8 and 3.7%, respectively for 2- and 6-row) were far lower than those
for total sugars or ME. OC reflects the
total number of hydrolytic cleavages of oligosaccharides, whereas ME only
reflects hydrolytic gain (the insertion of H2O
for each oligosaccharide cleavage), which is slight in magnitude compared to
increases in osmolarity. For all
genotypes combined, α-AA correlated slightly better than DP with total
sugar concentrations over all days of germination (α-AA, r=0.743, P<0.0001;
DP, r=0.711, P<0.0001), supporting the second hypothesis. When
correlating individual sugar concentrations with α-AA and DP for all days
of germination for all genotypes combined, α-AA also correlated better
than DP with most sugar concentrations [e.g. low to high r values for
α-AA, r=0.517 (fructose) to r=0.900 (glucose), P=0.0
002 to <0.0001; low to high r values for DP, r=0.412 (fructose)
to r=0.792 (maltotetraose), P=0.0037 to <0.0001], supporting
the second hypothesis. Overall, malt OC
correlated better with malt sugar concentrations than ME, DP, or α-AA,
indicating that OC best predicts starch hydrolysis during malting and a subsequent
short mashing period.
Osmolyte Concentration: A New Method for Determining Malt Quality
Stanley H.
Duke*, Department of Agronomy, University of Wisconsin, Madison, WI; and Cynthia A. Henson, United States
Department of Agriculture-Agricultural Research Service, Cereal Crops Research
Unit, Madison, WI, and Department of Agronomy, University of Wisconsin,
Madison, WI
*Corresponding
author:
The primary
Barley homogeneity: Measurement and importance for malting
Michael J. Edney*, Aaron MacLeod, Steve Symons, Grain
Research Laboratory, Canadian Grain Commission, Winnipeg, Canada, John
O'Donovan, Kelly Turkington, and George Clayton, Lacombe Research Station,
Agriculture and Agri-Food Canada, Lacombe, Canada
*Corresponding author:
Maltsters require homogeneous barley to achieve a top
quality malt. Barley with uniform kernel characteristics is easier to process
and should produce more evenly modified malt that will help avoid potential
problems in the brewery. Despite the importance of homogeneity, standard malt
and barley quality analyses are based on a bulk sample which overlooks
variation among kernels. The Single Kernel Characterization System (SKCS) and
Near Infrared Spectroscopy are two technologies that can be used to quantify
the homogeneity of barley. Germination Index is a simple test that can be used
to measure evenness of germination. The uniformity of malt modification can be
measured using standard EBC methods for Friability and Calcofluor homogeneity.
These techniques were used to evaluate the quality of barley
grown under a range of agronomic conditions. Analysis by SKCS indicated a
significant decrease in the variation of kernel size with higher seeding rate.
By examining the near infrared spectra acquired using a common grain analyzer
it was also possible to measure differences in the homogeneity of barley. Near
infrared instrumentation capable of processing single kernels offers the
opportunity to measure variation in protein content among individual grains,
replacing the more traditional, but much more laborious, method of single
kernel combustion nitrogen analysis.
Variation in the distribution of size, protein content, and
germinative vigour of individual barley kernels affected the consistency of
water uptake during malting leading to significant differences in uniformity of
modification in finished malt as measured with the Calcofluor staining method.
Positive impacts of increased homogeneity on malt quality
were clearly demonstrated with decreased levels of wort beta-glucan, and
improvements in common modification indicators such as friability and Kolbach
Index. With several analytical methods available, homogeneity is a criteria
that should not be ignored when seeking a barley that will give maximum
performance in the malthouse.
The Impact of qGPC6H on Malting
Quality, Grain Composition and Agronomic Performance
A. Fischer, G. Fischer, D. Parrott, A.
Budde, V.C. Blake, T.K. Blake*
Dept. of Plant Sciences and Plant
Pathology,
*Corresponding author:
One of barley's more remarkable characteristics
is its ability to tolerate variation in seed composition. Selection for increased percentage of one
grain component (e.g. protein) can be accomplished by reduction in the
percentage of another component (e.g. starch).
Starch is the largest contributor to malt extract, and its negative
correlation with grain protein percentage is widely appreciated. We previously identified a barley gene, qGPC6H,
in which allelic variation significantly impacted grain protein
percentage. Similar variation was
observed in wheat, and the gene responsible for this variation was recently
cloned. This barley version of this
gene, HvNAM-1, is a transcription factor that has significant impact on
the initiation of plant senescence. In
barley, the allele derived from the variety `Karl' results in delayed plant
senescence with no measurable impact on flowering date. This allele also results in reduced grain
protein percentage. We backcrossed the
`Karl' low grain protein percentage allele into the 2-rowed barley variety
`Lewis', producing four independently-derived backcross (BC4) lines. We also backcrossed the `Lewis' high grain
protein percentage allele into Karl, producing four independently-derived
backcross lines. Dryland and irrigated
replicated yield trials were performed in 2006 and 2007 with these lines. We measured grain composition from our trials
in 2006 and malting quality from our trials in 2007. In this report we demonstrate that transfer
of the `Karl' allele into the `Lewis' genetic background results in plants with
higher grain yield, higher grain starch content and higher malt extract. Correspondingly, when the `Lewis' allele is
backcrossed into the Karl background, grain yield and starch percentage are reduced,
as is malt extract.
Net blotch quantitative trait
loci - their practical application in
barley breeding
Tajinder S.
Grewal, Brian G. Rossnagel* and Graham J. Scoles. Crop Development
Centre/Department of Plant Sciences,
*Corresponding
author:
Net blotch, caused by Pyrenophora
teres Drechs., is an important worldwide foliar barley disease. Resistant
cultivars are the most economic and eco-friendly control method. Quantitative
trait loci (QTL) associated with net blotch resistance were mapped in a
doubled-haploid barley population (CDC Dolly/TR251) using diversity arrays
technology (DArTฎ) markers. A major net-form net blotch (NFNB) seedling
resistance QTL, designated Rpt6, was mapped to chromosome 6H for
isolates
Using
genetics to advance breeding: donning
the winter
Hayes,
P.M.*, A. Corey, A. Cuesta-Marcos, T. Filichkina, P. Szűcs, and J.
VonZitzewitz, Department of Crop and Soil Science, Oregon State University,
Corvallis, OR 97331, USA
* Corresponding
author:
The winter hardiness of cereal crops is associated with low
temperature tolerance, vernalization, and photoperiod sensitivity.
Understanding the genetics of these traits, using agronomically relevant
germplasm, will provide new opportunities for sustainable and productive barley
production. Via the Barley
Nitrogen effects on low-protein and semidwarf genotypes
for malting barley production in western
M.R.
Hochhalter, R.D. Horsley*, and P.B. Schwarz, Department of Plant Sciences,
North Dakota State University, Fargo, ND 58105; and R.J. Goos, School of Natural Resources, North
Dakota State University, Fargo, ND 58105
*Corresponding
author:
Malting
barley production has moved from the eastern part of North Dakota to the
western part of the state in recent years mainly due to the accumulation
of high levels of the mycotoxin
deoxynivalenol (DON) produced by the fungus Fusarium graminearum Schwabe. When grown under dryland conditions of
western
Evaluation of European barley genotypes for adaptation in
the Northern Great Plains of the United States.
R.D.
Horsley* and P.B. Schwarz, Department of Plant Sciences, North Dakota State
University, Fargo, ND 58105; and S.M. Neate, Department of Plant Pathology,
North Dakota State University, Fargo, ND 58105
*Corresponding
author:
Since
2006 the North Dakota State University (NDSU) barley improvement program has
been evaluating two-rowed lines from the breeding companies Saatzucht Breun and
Saatzucht Ackerman in
Understanding the genetics of barley
β-glucan and diastatic power: ARS
Aberdeens initial steps toward marker-assisted selection in barley
Eric Jackson*,
*Corresponding
author
Two
key objectives in the USDA ARS Aberdeens barley breeding program are improving
β-glucan content in feed barleys and diastatic power, defined as known
enzymatic activity, in malt barleys.
Although studies have been done to investigate the genetics of barley
beta glucan, the populations used (Steptoe/Morex, Harrington/TR206, and Blenheim/E224/3)
were developed with malting quality in mind.
Utilization of these populations could have resulted in the
identification of only allele(s)/allele combinations contributing to moderate
levels of β-glucan. In response to
this potential problem, our objective was to develop a new mapping population
derived from two six-rowed hulless lines: Azhul, the primary source of high
β-glucan in most commercial cultivars and breeding programs, and Falcon,
a well adapted variety to
A major impediment to improving malt
quality in barley is the large number of traits involved. For this reason, our objective is to identify
and study key traits affecting areas of malting quality which are lacking in
the
We are also pursuing a third strategy
to identify and mine novel alleles associated with β-glucan and DP by
intensively genotyping 376 accessions from a subset of the NSGC barley core
collection. To develop the population,
single plant selections have been made from each accession and the resulting
selections are being genotyped with 992 DArT and 48 SSR markers. Seed from each line is also being increased
for multi-location testing. Genetic
analysis of population structure will be presented and strategies for
association mapping and allele mining from the collection will be
discussed.
Stripe rust of barley and wheat in central Alberta
K. Kumar1*, K.
Xi1, T. K. Turkington2, X.M. Chen3, D. Salmon1,
J. Helm1, P. Juskiw1 and J. Nyachiro1.
1Field Crop Development
Centre, Alberta Agriculture and Food, 6000 C and E Trail, Lacombe, AB T4L 1W1
Canada, 2Agriculure and Agri-Food Canada, Lacombe Research Centre,
6000 C and E Trail Lacombe, AB T4L 1W1 Canada, 3USDA-ARS, 361
Johnson Hall, Washington State University, P.O. Box 646430, Pullman, WA
99164-6430 USA
*Corresponding author:
Spring barley is typically grown on
over 4 million acres annually in
Low phytate barley: The effect upon amino acid utilization during wort
fermentation
Dennis E Langrell*, Michael J Edney, Grain Research Laboratory, Canadian Grain
Commission, Winnipeg, Canada, William G Legge, Brandon Research Station, Agriculture and Agri-Foods Canada, Brandon,
Canada and Brian G Rossnagel, Crop Development Centre, University of Saskatchewan, Saskatoon, Canada
*Corresponding
author:
Zinc is
known in the brewing industry for its stimulative effect upon fermentation
rate, based upon its function as a cofactor for several enzymes involved in
carbohydrate metabolism. It is also essential for non-yeast enzymes involved in
nitrogen metabolism such as L-glutamate dehydrogenase and carboxypeptidase.
Studies have shown that higher levels of zinc can increase utilization of
certain amino acids during fermentation resulting in a better attenuated wort.
Zinc levels are naturally elevated in worts made from low-phytate barley malt
as less mineral is chelated by phytate and removed with the spent grain.
Effects of
the low phytate trait on wort zinc levels and the use of amino acids during
fermentation was investigated with eight samples from two separate low phytate
populations, one based on AC Metcalfe and the second on Harrington. The AC
Metcalfe sample set included the two parents, AC Metcalfe and a low phytate
line, along with two bulked segregates from the progeny, one bulk with normal
phytate characteristics and the other with reduced phytate characteristics. The
second set contained the parent Harrington and three low phytate lines. Malted
samples were brewed with the Canadian Malting Barley Technical Centre's
microbrewery and fermented in tall cylinder (1.5 L). Free amino acids in wort
and fermented wort were measured with the Watersฎ UPLC system and the AccuTag
Ultraฎ Amino Acid Analysis application. Zinc and magnesium levels were also
monitored in worts.
The low
phytate samples showed acceptable malt quality but quality did vary among the
samples tested. All the low-phytate lines had significantly higher levels of
zinc and magnesium which resulted in better fermentabilities. Low-phytate worts
from the AC Metcalfe cross used more amino acids than the normal phytate worts.
There was a similar tendency with the Harrington low-phytate lines but results
were not as consistent.
A new high-throughput screening
method for measuring lipoxygenase in barley seed.
Yin Li and Paul Schwarz*.
Department of Plant Sciences,
*Corresponding author Paul Schwarz
Lipoxygenase is regarded as an
undesirable enzyme that affects the flavor stability of beer, due to the enzymatic
oxidation of linoleic acid to yield trans-2-nonenal by LOX pathway. Elimination
of lipoxygenase from barley and malt will therefore greatly reduce the
formation of trans-2-nonenal, resulting in significantly increasing the flavor
stability of beer. Barley breeders are trying to identify barley germplasm that
lacks of lipoxygenase. The major obstacle is to set up a fast and reliable
lipoxygenase activity assay method. However, lipoxygenase was very difficult to
achieve high-throughput screening as the reaction products (lipid
hydroperoxides) are extremely unstable. In this research work, we established a
new high-throughput screening method for lipoxygenase activity assay, which was
based on the determination of lipid hydroperoxides by ferrous oxidation-xylenol
orange (
Study of the effects of Pre-harvest
Sprouting on the Storability and
Malting quality of AC Metcalfe, CDC
Kendall and CDC Copeland Barleys
Yueshu Li*,
*Corresponding author:
Variations in germination and malting behaviors of AC
Metcalfe, CDC Kendall and CDC Copeland barley samples during storage were
examined at CMBTC. These barley samples have suffered different degrees of
pre-harvest sprouting damage (PHSD) at harvest, and were stored under three
different storage conditions during the course of this study. During storage PHSD
barley samples showed significant changes in germination energy and water sensitivity
than the sound barley (0% PHSD). The higher the degree of PHSD the more
variations in germination energy were recorded. Although all the barley samples
exhibited gradually increase in water sensitivity with storage duration, the
samples with a higher degree of PHSD exhibited more changes than the samples
with a lower degree of PHSD. Barley
samples kept at room temperature showed more variations than the samples kept
at a lower storage temperature. Varietal difference in germination energy,
water sensitivity and their response to the storage condition were also
observed. In the micromalting trials, at steep barley samples with higher
degrees of PHSD showed a higher water uptake rate and lower chitting rates than
the sound barley samples. Variations in the chitting rate showed a similar
pattern as germination energy, barley samples with a high degree of PHSD and
being stored at a higher temperature exhibited lower chitting rates. Some
varietal differences in water uptake and chitting variations were also recorded. Micromalting trial results suggested that germination
energy, water sensitivity, chitting rate, friability, enzyme level and
beta-glucan content were all sensitive to PHSD and storage conditions. Changes
in malt quality could be related to characteristics of the samples prior to
storage, subsequent changes in barley quality during storage, and the
interactions between pre-storage barley quality and storage conditions. Both barley pre-harvest condition and storage
conditions largely determine the changes in germination and overall
maltability, as well as the resultant malt quality of the barley.
Nutritional and functional properties
of whole grain barley bagels
C.Lukie*, L. Malcolmson, A. Sarkar,
and E. Sopiwnyk. Canadian International Grains Institute,
Corresponding Author: C. Lukie
Interest in incorporating whole grains
into the diet of North American consumers has increased considerably due to
reported health benefits associated with their consumption. Barley is an underutilized grain in food
applications despite the recent health claim that is permitted for foods
containing barley and beta glucan from barley sources. Hulless barley varieties have been developed
which have an advantage in milling since the hull is naturally removed prior to
milling. This study was undertaken to
determine the functionality of whole grain barley flour made from the Canadian
hulless barley variety CDC McGwire in a bagel application. Varying levels of whole grain barley flour
were blended with wheat flour to determine dough and end product quality. Water absorption, volume, firmness, crumb
structure and flavor were assessed.
Nutritional analysis was also determined based on reported nutrient
values. Results indicated that it was
possible to create a whole grain barley bagel with good end-product quality,
and that a suitable blend of whole grain barley and wheat achieved the soluble
fiber health claim.
Screening
for bird cherry-oat aphid resistance in barley
Do
Mornhinweg USDA-ARS, 1301 N. Western, Stillwater, OK 74075 and Harold
Bockelman, USDA-ARS, PO Box 386, 1691 S. 2700 W, Aberdeen, ID 83210
*Corresponding
author:
Bird
cherry-oat aphid (BCOA), Rhopalosiphum padi (L.), has been reported to
cause yield loss in small grains both through its role as an efficient vector
of the PAV strain of Barley yellow dwarf virus (BYDV) and by actual feeding
damage to winter and spring small grains by aviruliferous BCOAs. Barley accessions have been reported to have
BCOA resistance based on the antibiotic effect of seedlings on the aphids.
Whether this antibiosis translates to resistance in terms of grain yield has
yet to be shown. Screening for BCOA
resistance at the seedling stage has been difficult due to lack of visual
symptoms on seedlings infested with BCOA using traditional greenhouse screening
methods. In an attempt to develop a seedling screening technique for BCOA many
variables were evaluated including flat type, soil type, infestation date,
infestation rate, and screening conditions, (temperature and day length). In 2005, 78 barleys, reported to be
antibiotic to BCOA, were screened with aviruliferous BCOA using traditional
seedling screening methods under high temperature and long days and compared to
non-infested controls. Seedlings were
rated on a newly defined visual scale of 1 to 7 (1= resistant and 7=
dead). Potential resistant and
susceptible checks were identified. A
replicated (2X) screening of a 960 accession subset of the Barley Core
Collection was conducted using this technique.
Seedlings from 284 accessions survived screening and were transplanted
to pots in the greenhouse. Based on
seedling survival percentages, the rating scale appeared to be valid. Seedlings from the surviving accessions were screened
again in 2007 and an identical set of non-infested controls was grown. Surviving seedlings and their respective
non-infested controls were rated, rescued, and transplanted to pots side by
side in the greenhouse. Plant height,
yield and yield components were measured to validate the rating scale.
An overview of the barley
coordinated agricultural project
Gary J. Muehlbauer, Department of
Agronomy and Plant Genetics,
Barley geneticists and breeders have been
successful in identifying hundreds of QTL that explain variation for yield,
disease resistance, malting quality, and other agronomic traits. However, various reasons preclude the use of
these QTL within breeding programs. The
overall goal of the barley
Variation,
causes, and significance of grain hardness in barley for food
Sindhu Nair, Byung-Kee Baik, and Steve Ullrich*,
Dept. of Crop and Soil Sciences,WashingtonStateUniversity,
* Corresponding
author:
There is increasing interest in nutritional
benefits of consuming barley food products, but experience in breeding of
appropriate barley cultivars and their processing for food uses is limited.
Kernel hardness (KH) of barley may influence post-harvest handling; pearling,
rolling, and milling; flour particle size distribution; and end use product
quality. There is limited understanding of genotypic variation and environmental
influence on barley KH, the biochemical and physical basis of KH, and its
significance in food processing. The objectives of this study were to determine
the effects of genotype (G) and environment (E) on barley KH and the
associations of KH with other kernel and food processing traits. De-hulled
grains of 959 diverse breeding lines contributed by ten breeding programs in
the
Waxy Barley: N Applications for Yield,
Beta-glucan, and Protein
O. Steven Norberg*, Oregon State
University, Malheur County Extension Office; Brad Brown, University of Idaho,
SW Idaho Research & Extension Center, Parma; Clint Shock, Oregon State,
Univ., Malheur Experiment Station; Andrew Ross, Pat Hayes, and Juan Rey, Oregon
State University, Crop and Soil Science Dept. Corvallis, OR.
*Corresponding author
Nitrogen fertilizer (N) management was
evaluated for growing irrigated waxy barley for higher protein and beta-glucan
soluble fiber content. A local company
has proposed the building of a barley fractionation plant to capitalize on
these value-added traits. Salute and
Merlin, two spring waxy barley cultivars, were fall-planted to compare yield
and quality under different N treatments applied in late winter and at heading
and to evaluate ethephon to reduce lodging.
Fairly normal winter weather in the
Prediction of Deoxynivalenol (DON)
content in grain using Near Infrared Reflectance Spectroscopy (NIRS).
Lori Oatway*, James Helm and Kequan
Xi.
*Corresponding author:
As long as current agricultural practices
cannot prevent Fusarium infection in small grains, deoxynivalenol (DON) will
continue to be a critical issue in animal and human health. The purpose of this project was to determine
if near infrared reflectance spectroscopy (NIRS) can predict DON concentrations
in cereal grain. First, the NIRS
absorption spectrum of DON was isolated and used to develop a baseline
calibration using specific wavelength ranges and standard samples developed
from commercial flour and pure DON. The
second part of this project transferred the baseline calibration to
naturally-infected samples of ground wheat and barley. The best equation developed had a coefficient
of determination (R2) of 0.90, standard error of
calibration (SEC) of 0.64 ppm, and standard error of cross validation (SECV) of
0.72 ppm. The equations developed in
this study demonstrate that NIRS can effectively predict DON content in wheat
and barley.
Association
mapping of malt quality QTL in the U of M barley breeding program: Detection,
validation, and breeding
*Corresponding author:
Recently published
association mapping studies have focused on germplasm collections, designed
populations or varieties entered in national and regional trials. Association mapping within a breeding program
has the potential to accelerate the translation of newly acquired genetic
information to application in breeding.
We have used 182 lines from the
Distribution and Diversity of Russian
Wheat Aphid (Homoptera: Aphididae) Biotypes in
Gary J. Puterka* and Dolores W.
Mornhinweg, USDA Agricultural Research Service, Plant Science Research
Laboratory, Stillwater, OK 74075
*Corresponding author:
Wheat with Russian wheat aphid (RWA)
resistance based on the Dn4 gene has been important in managing RWA
since 1994. Currently, there are eight biotypes (RWA1 - RWA5) of this aphid that have been
described based on their ability to differentially damage RWA resistance genes
in wheat. RWA2, RWA4 and RWA5 are of
great concern because they can kill wheat with Dn4 resistance. In 2005,
365 RWA clone colonies were made from collections taken from 98 fields of wheat
or barley in
Fluorescence microplate readers as an
alternative to flow injection analysis for determination of wort beta-glucan.
Mark R. Schmitt* and Allen D.
Budde. USDA Agricultural Research
Service, Cereal Crops Research Unit,
*Corresponding author
Wort beta-glucan concentration is a
critical malting quality parameter used to identify and avoid potential
brewhouse filtration problems.
Let's get small: Miniaturized malt quality analysis for fun
and profit.
Mark R. Schmitt* and Allen D. Budde.
USDA ARS Cereal Crops Research Unit,
*Corresponding author
Most common laboratory-scale
micromalting and malt analysis procedures are indeed micro-scaled compared to
commercial-scale malting (the CCRU standard 170 g malting is approximately 106 times smaller than a 6,000 bu Saladin
box production malting run). While these
amounts of grain are insignificant for a malthouse or brewery where railcar
quantities are normally handled, the quantities needed for the micromalting and
standard analysis procedures may be problematic for both research and breeding
programs. The requirement for >100 g of seed for malting/analysis
effectively precludes testing for important malting quality attributes until
relatively late in a breeding program, even though meeting malting quality
standards is one of the most critical selection criteria. This means that many
lines with inferior malting quality must be carried through several generations
before sufficient grain is available for even a first round of malt QA testing
that would identify those lines with malting quality shortcomings, so that they
could be eliminated from the breeding program.
Similarly, it becomes much more difficult to analyze mapping and other
special populations if seed increases are needed to produce the >100 gm of
seed needed for standard QA tests for each line of interest. Fortunately, it has recently become possible
to adapt traditional micromalting and malt analysis procedures to much smaller
scales, reducing the quantities of grain needed to generate a malt quality
profile similar to those from traditional methods. The availability of the
reduced-quantity malt quality methods have greatly simplified analysis of
genetically interesting populations and could facilitate earlier-generation analysis
of malting quality in breeding programs when fully implemented. In addition, several labs globally have
adapted a number of related research procedures to small-scale/high-throughput
formats, facilitating studies on basic research questions relating to
modification of barley carbohydrate, protein, and cell wall reserves. Examples of the modified malting, mashing,
and analytical procedures will be presented.
Barley and oat grain and malt
beta-glucan content measured by Calcofluor fluorescence in a microplate assay.
Mark R. Schmitt* and Mitchell Wise.
USDA Agricultural Research Service,
*Corresponding author
Beta-glucan levels in grains, particularly
barley and oats, are receiving increased interest in part due their recognized
benefits to human health. While a number
of methods to determine grain beta-glucan levels are available, each suffers
from significant drawbacks for routine implementation. Adaptation of a Calcofluor fluorescence
method to detection by a microplate fluorimeter results in a simple mechanism
for measuring beta-glucan, using inexpensive reagents, and affordable, readily
available instrumentation.
Survey
of Barley Producers in
Paul
Schwarz.
*Corresponding
author:
The
supply of domestic malting barley in the
Association
mapping of Fusarium head blight QTL using contemporary barley breeding
germplasm
Kevin
P. Smith1*,
Jon Massman1,
1University
of
2Busch
Agricultural Resources, Inc.
3North
4University
of
5USDA-ARS
Biosciences Research Lab,
*Corresponding
author:
The serious impact of Fusarium head blight (FHB) on barley
production in the
Progress towards predictive models for
Fusarium Head Blight and DON in barley.
J.
Stein*, K. Bondalapati, L. Osborne - Plant Science Department, South Dakota
State University, Brookings, SD; S. Neate - Department of Plant Pathology,
North Dakota State University, Fargo, ND, and C. Hollingsworth -University of
Minnesota Research and Outreach Center, Crookston, MN.
*
Corresponding author, Ph:
Fusarium
head blight (FHB), caused by the fungus Gibberella zeae (anamorph: Fusarium
graminearum), continues to be a serious problem for barley producers in the
U.S. Northern Great Plains and elsewhere. G. zeae can cause direct economic
loss through a reduction in grain yield and it also produces mycotoxins that
can impact the marketability of a crop, e.g. deoxynivalenol (DON). Management
of FHB is accomplished with agronomic practices that limit in-field inoculum
(e.g. rotation) and through the application of fungicides. The timing of
application can be critical and therefore a need exists for a risk-advisory
system that growers could use to make management decisions. The objective of
this research was to develop model(s) for such a system that predict FHB and/or
DON based on weather conditions. Varieties of regionally adapted barley (both
2- and 6-row types) were grown at multiple locations in the
Simple
weather variables that explained general trends (e.g. mean hourly temperature)
tended to have the highest correlation coefficients and were most predictive of
high FHB/DON instances. In general, high levels of disease and DON occurred at
a location when the mean hourly temperature and relatively humidity were both
greater than 22C and 75%, respectively, for the 9 days prior to full head
emergence. A preliminary model was developed that combined these variables.
This model had true positive and negative rates of ~90% when tested with the
2005-7 data sets and was able to predict low disease in all of the 2008South
Dakota testing locations. Further analysis of model accuracy is ongoing.
Identification of a putative new
barley leaf rust resistance gene
Yongliang
Sun and Stephen M. Neate*
Department
of Plant Pathology,
*Corresponding
Author:
Resistance
is the preferred means of controlling leaf rust of barley caused by Puccinia
hordei G. Otth. However, changing virulence in P. hordei has
rendered ineffective many of the known resistance genes. In this study, isolates
`Race 8', `90-3', '90-15', `89-3', and `Neth 202' of P. hordei were used
to differentiate resistance genes in 82 selected barley lines. Putative new
resistance was identified in barley line `C2-02-134-2-2' and separated from Rph15
also known to be in that line. Based on disease reaction when challenged
with isolate `Race 8', the F2 population
of a cross between `C2-02-134-2-2' and a susceptible line `ZA47', segregated
into a 15:1 resistant to susceptible ratio (χ2=0.853) indicating the presence of
more than one gene. In the F2
generation, the Rph15 phenotype (00;) separated from a second resistance
gene phenotype (0;12-). To isolate the gene which gave the (0;12-) phenotype
from Rph15, the 10 F2
plants bearing the (0;12-) phenotype were transplanted and selfed, and the F2:3 families were screened for homogeneity
of disease reaction. To determine inheritance and to undertake gene mapping
using diversity array technology (DArT) a new cross was made between `Bowman'
and a plant from a homogeneous family that showed the (0;12-) phenotype. The
putative new gene was mapped on barley chromosome 7H and when inoculated with a
selected set of P. hordei races showed different phenotypic reactions
from Rph3 and Rph19 known to be on the same chromosome. Allelism
studies with Rph3 and Rph19 are in progress.
Barley Feed Quality - Is It Consistent Across Species?
Mary Lou Swift*1, James Helm1, Tim McAllister2, Fred Silversides3, and Ruurd Zijlstra4.
1Field
*Corresponding Author:
Barley grain is primarily included in
the diet of farm animals as a source of digestible energy. Regardless of species fed, there is variation
in the feeding value of barley due to genetic and environmental factors. However, there is little information
published in the scientific literature comparing the feeding value for
different livestock classes of a standard set of barley samples. The Field Crop Development Centre together
with university, government and industry collaborators conducted a three-year
study to collect data regarding the nutritional value of barley for poultry,
ruminants and swine. Fifty samples of
hulled barley were evaluated for ruminants using in-vitro gas production, for
swine using in-vitro 3-stage enzymatic digestion, and for poultry using an
animal bioassay. Data was entered into
JMP Version 4 (SAS Institute Inc.) and correlation coefficients (r) calculated
to ascertain the relationships between the various measurements of feed value
for ruminant and swine and for swine and poultry.
The best relationship between ruminant and swine, as determined by
highest r value, was that of total ruminal volatile fatty acid production (24h)
and swine DE content (r=0.33). The
relationship between ruminal 24 h starch disappearance and swine DE was 0.12
and between protein disappearance and DE was 0.18. Relationships between swine DE values and
poultry
In summary, data from this study would
indicate that selection of a hulled barley variety based on higher swine DE
content may result in little or no improvement in the feeding value of that
barley for the ruminant animal. In
addition, the selection of the same hulled barley could well result in
decreased broiler performance in terms of feed intake and average daily
gain. This analysis would indicate that
the design of plant breeding programs to enhance the feeding value of hulled
barley should incorporate variety evaluation across species. Further study of the genetic linkages of
these feed quality traits is needed.
Expression analysis of ethylene
biosynthesis and receptor genes from
barley embryo and tissue culture
Neerja Tyagi and Lynn S. Dahleen*.
Plant Sciences Dept., North Dakota State
University and USDA Agricultural Research Service, Cereal Crops Research Unit, 1307 18th St N, Fargo, ND
58105
*Corresponding author:
Ethylene affects regeneration of green
plants from barley tissue culture. With
the availability of the HarvEST barley database and barley GeneChip, genome-wide expression studies
have focused on differential development between Morex and Golden Promise at
various stages of plant growth. The data
from these studies are available from
the Barley Gene Atlas and provide an excellent source for datamining
genes of interest. We used ethylene biosynthesis genes
1-aminocyclopropane-l-carboxylic acid
synthase (
Greenhouse and Field Demonstration of
Microbial Suppression of Fusarium Head Blight in Barley.
J.E. Van Cauwenberge*1, Schisler, D.A. 1, Cooper, D.2, Smith, K. P.3
1Crop Bioprotection Research Unit,
National Center for Agricultural Utilization Research, Agricultural Research
Service, United States Department of Agriculture, Peoria, Il. 2Busch Agricultural Resources, Inc.,
Fort Collins, Co. 3Department of Agronomy and Plant
Genetics, University of Minnesota, St. Paul, Mn.
*Corresponding author:
Fusarium head
blight (FHB) is a disease of wheat and barley responsible for extensive losses
in quality and yield. The primary causative agent for FHB is Gibberella zeae
(anamorph = Fusarium graminearum) which initially infects spikes to
produce dark brown water soaked spots on glumes of florets and ultimately can
cause thin blighted kernels, reduced test weights, and reduced grain
quality. To determine the feasibility of
reducing FHB on barley using microbial antagonists, seven strains of gram
positive bacteria and yeasts previously described as suppressive to FHB on
wheat were examined. After production in liquid culture, antagonists were
sprayed onto barley heads at anthesis in both greenhouse and field trials.
Lacey and Tradition, six-rowed malting varieties with high yield, good lodging
resistance and kernel plumpness, were used in all trials. In greenhouse
studies, suspensions of Gibberella zeae conidia were applied onto heads
immediately after antagonist suspensions. In field trials Gibberella zeae was
grown on cracked corn then broadcast over the test plot two weeks prior to
anthesis and application of microbial treatments. In at least one set of duplicated greenhouse
experiments, five microbial strains reduced FHB by 25-84% on Tradition and four
strains reduced FHB by 52-71% on Lacey.
In field trials, four microbial strains reduced FHB by 10-23% on
Tradition while one strain reduced FHB by 17% on Lacey. Strain efficacy in the greenhouse was not
always predictive of field performance.
Further research to evaluate the potential of including microbial
antagonists in the integrated management of FHB on barley is justified.
β-Amylase
activity and thermostability in wild and cultivated barleys with different Bmy1
intron III alleles
Marcus
A. Vinje1,
1University
of Wisconsin-Madison, Department of Agronomy, 2USDA-ARS,
Cereal Crops Research Unit
*Corresponding
author:
The
third intron of barley (Hordeum vulgare L.) β-amylase 1 (Bmy1)
is extremely polymorphic. The use of
specific insertion/deletions (indels), in the third intron as selective markers
for cultivar development, has been suggested based on associations with
β-amylase activity and thermostability.
The third intron of Bmy1 in 40 barley accessions was sequenced
and four alleles (Bmy1.a, Bmy1.b, Bmy1.c, and Bmy1.d)
were identified based on indels of 126-bp, 38-bp, 11-bp, and 21-bp. β-Amylase activity and thermostability
were assayed in 22 North American cultivars important to the malting and
brewing community and 12 wild barley accessions, which are a rich source of
genetic diversity. The cultivars were
found to have the Bmy1.a and Bmy1.b alleles with β-amylase
activity ranges of
Differential
Marcus
A. Vinje1, David K. Willis3,
1University
of Wisconsin-Madison, Department of Agronomy, 2USDA-ARS,
Cereal Crops Research Unit, 3USDA-ARS,
Vegetable Crops Research Unit
*Corresponding
author:
Agronomic
practices to improve winter hardiness of two-row winter malt barley `Charles'.
Juliet M.
Windes1* and Don E. Obert2. 1University of
*Corresponding
author:
Yield improvement of quality malt
varieties is a priority goal for barley breeders. Winter varieties offer a
substantial improvement on yield potential compared to spring types, and the
release of `Charles', the first two-row winter malt variety, could mean
increased yields with less irrigation than spring types. Limiting the adoption
of Charles is its susceptibility to winter kill. Planting methods were
investigated to improve winter survival. Four replications of Charles were
planted in a split-split plot design with `Eight-Twelve,' a winter feed barley
with better winter hardiness than Charles. Both varieties were planted in
four-row plots, either drilled conventionally or planted in a 4-inch deep
furrow created by shanks placed ahead of double disks. Randomized within planting method were six
seeding rates, varying from 200,000 seeds/A to 1.25 million seeds/A. Plots were
planted late, October 11, 2007, to increase potential for winter stress. Plots
were rated twice for spring stand, and data were collected for yield, test
weight, plumps and protein. Results show significant differences in yield
between varieties (P=0.0002), planting method (P<0.0001), and planting rate
(P<0.0001). There were significant differences in early stand between
varieties (P<0.0001), planting method (P<0.0001), and planting rate
(P<0.0001), as well as in late stand between varieties (P=0.0005), planting
method (P<0.0001), and planting rate (P<0.0001). Stand and yield of both
varieties increased significantly when planted in deep furrows. Averaged over
variety and planting rate, conventionally drilled barley yielded 58 bu/A and
deep furrow-planted barley yielded 113 bu/A, and stand increased from 11 to
66%, respectively. With both methods, significant increases in yield did not
occur above the 400,000 seed/A planting rate. Over all planting rates, Charles
yielded 7 bu/A when conventionally drilled, and 84 bu/A when furrow-planted,
while Eight-Twelve yielded 109 bu/A and 141 bu/A, respectively. Significant improvements in yield and stand
can be achieved by deep-furrow planting, but not as much or not at all by
increasing seeding rate.
Tocol Content of Barley
Mitchell L. Wise, USDA Agricultural
Research Service, Cereal Crops Research Unit, 502 Walnut St., Madison, WI 53726
Tocochromanols (tocols) is the
collective term for vitamin E active constituents found primarily in
plants. These compounds have potent
anti-oxidant properties and are a recommended nutrient for human health. Although the precise benefits of vitamin E
are not known, diets deficient in vitamin E appear to be associated with
atherosclerosis. Moreover, the
tocotrienols, tocols incorporating a polyunsaturated isoprene chain, are known
to reduce cholesterol levels in several experimental models, including
humans. Barley provides a moderate
source for tocols compared to other grains such as wheat and rye, however, they
are relatively rich in the tocotrienols and they produce all eight naturally
occurring tocol congeners. Moreover,
from the few published accounts on barley tocol production, there appears to be
significant genotypic variation. The
present study presents preliminary data from analysis of tocol composition of
the first two years of Barley Coordinated Agriculture Project (Barley
Validation
of molecular markers for scald resistance in two-row barley.
Zantinge*
J.L., Juskiw, P., Hartman, Z., and Xi K. Field Crop Development Centre,
*Corresponding
author (403)782-8692 jennifer.zantinge@gov.ab.ca.
www1.agric.gov.ab.ca/app21/rtw/selsubj.jsp
Scald
(Rhynchosporium secalis) of barley is prevalent in central
QTL Mapping and Molecular Marker Development for Seed
Dormancy in Spring Barley.
J.L.
Zantinge*, J Nyachiro, S. Xue, J. H. Helm, P. E. Juskiw and D. Salmon. Field
Crop Development Centre,
*Corresponding
author (403)782-8692 jennifer.zantinge@gov.ab.ca
Wet field conditions just prior to harvest can cause
pre-harvest sprouting in barley (Hordeum vulgare) resulting in significant
economic losses especially in barley genotypes with low seed dormancy.
On-the-other-hand, too much dormancy can cause inconsistent germination,
creating problems in the malt house or during crop seeding. Seed dormancy is
defined as the failure of viable kernels to germinate under optimum conditions
of moisture, oxygen, and temperature.
Selection for sprouting resistance in a barley-breeding program is
challenging because the dormancy trait is influenced by the environment, and is
controlled by multiple genes, that are often linked to important quality
traits. Utilizing molecular markers linked to dormancy would be one method of
selecting for desirable levels of seed dormancy in barley without the problem
of environmental effects on expression, and could be used to break up undesired
linkage (repulsion) effects that reduce seed quality. The objective of this
study was to identify, map and develop molecular markers linked to genes
affecting dormancy from `Samson' barley. Several recombinant inbred lines
(RILs) were developed by crossing `Samson' derived lines (high in dormancy)
with `TR118' (a malt variety from Dr. B. Harvey,
Exploiting
historical malting quality data from the Western Canadian Cooperative Two-row
Barley trials using association mapping
Aaron D. Beattie1, Brian G.
Rossnagel1 and Michael J. Edney2
1Crop Development Centre,
2Grain Research Laboratory, Canadian
Grain Commission,
Association
mapping (AM) is a method to detect significant correlations between genotypic
and phenotypic data using linkage disequilibrium (or the non-random association
between alleles). Unlike QTL analysis,
AM does not require production of a structured, experimental population, but can
be used with unrelated genotypes (or for which the relationships between
genotypes are taken into account). AM
can exploit the larger number of segregating loci in such populations providing
greater mapping resolution and allowing more traits to be studied at once since
there is more phenotypic variability. In
addition, historical phenotypic data (such as that typically collected during
cooperative/collaborative testing) can be analyzed.
The
potential of a barley genotype to produce good malt is evaluated for a range of
traits such as alpha amylase, beta-glucan, diastatic power, fermentable
extract, free amino nitrogen, germination energy and Kolbach index. These indicators are used in various ways to
predict fermentability, the most valuable characteristic of malt. For example, Evans et al. (2005) determined
that a combination of alpha-amylase, beta-amylase, limit dextrinase and heat
stable beta-amylase correlated well with fermentability.
Malting
quality traits are time consuming to measure and are assessed at the final
stages in barley breeding programs on a limited number of selections. Identifying molecular markers associated with
these traits would allow screening of larger number of genotypes earlier in the
breeding cycle to ensure important malting-related loci are maintained. Malting analysis would then be valuable to
help select the best remaining lines which may be segregating for loci
affecting malting quality which have not yet been identified.
A
number of studies have identified malting quality regions of the genome using
QTL analysis. These studies have tended
to use populations derived crosses between a good malting genotype and a poor
one (such as a feed genotype). For
example, the Steptoe x Morex (Hayes et. al. 1993) and Harrington x TR306
(Mather et. al. 1997) populations were used to identify QTLs across all seven
chromosomes. Typical of QTL studies,
poor mapping resolution results from the limited number of segregating markers
in biparental crosses and further work is required to refine the location of
trait-associated loci. For example, Gao
et. al. (2004) fine mapped an important region near the telomere on the short
arm of chromosome 4H which had been previously identified by Hayes et. al.
(1993). These studies have done a good
job identifying genomic regions that differentiate very good malting genotypes
from poor, however its likely that most good malting barley selections within
breeding programs already incorporate these positive alleles.
Rather
than using a collection of genotypes which include a wide range of malting
quality, this study used only elite malting quality barley genotypes from the
Western Canadian Co-operative Two-Row Barley Trials to determine if novel loci
could be identified which may differentiate good from very good malting
genotypes. In addition, a greater degree
of mapping resolution should be possible using the AM approach making
subsequent molecular marker-assisted selection (MMAS) more accurate.
Material and Methods
Ninety-one
two-row barley genotypes from the 1994-2006 Western Co-operative Two-Row Barley
trials were collected from participating breeding programs or the Plant Gene
Resources Centre of Canada Agriculture and Agri-Food Canada (AAFC; Saskatoon,
SK). These genotypes represent elite
malting genotypes from eight different breeding programs, including the
currently most popular malting varieties (AC Metcalfe, CDC Copeland, CDC
Kendall, Harrington, Newdale) and newer varieties such as Calder, CDC Select
and CDC Aurora Nijo, CDC Reserve and CDC Meredith.
Population
clustering was analyzed by unweighted pair-group method (UPGMA) clustering
(based on the Dice similarity coefficient) using NTSYSpc v. 2.2 to provide a
visual representation of the relatedness of the AM population. Genetic variation
within and among breeding programs was evaluated by an analysis of molecular
variance (AMOVA) and described using Wrights fixation index (
. Kinship information (generated with SPAGeDi v. 1.2) and population structure (generated with Structure v. 2.2) was incorporated into a mixed-model for AM.
Significance levels were adjusted for multiple testing using the Bonferroni correction.
True loose smut (Ustilago nuda) resistance (controlled by a
single gene) ratings collected on the 91 lines as part of the trials was
analyzed to evaluate the robustness of the AM methods employed in the study.
Results and
Discussion
Approximately 500 high quality, polymorphic DArT markers were used
to analyze the AM population. Clustering
demonstrated that genotypes from the same breeding program tended to group
together, but a significant amount of exchange between programs was evident. Most of the Agricore United (AU)/Coors/Cargill
genotypes grouped together while Crop Development Centre,
DArT markers bPb-1959 to bPb-6065 on chromosome 1H
were highly correlated with true loose smut resistance (Table 2). These markers encompass the region previously
identified with resistance (Eckstein et. al. 2002) and confirmed the validity
of the AM methods.
Twenty genomic regions, predominantly located on
chromosomes 2H, 5H and 7H, were significantly associated with the seven malting
quality traits evaluated (Table 2). Some
regions, such as the telomeric end on the long arm of chromosome 5H, have
already been associated with malt quality.
This raises the question as to whether these are the same alleles
previously identified which differentiate good from poor malting genotypes, or
if these are alleles which distinguish good from very good genotypes. Numerous potentially new loci which need to
be validated were also identified (Table 2).
These regions are being analyzed for candidate genes using rice synteny
and barley
Eckstein
PE, Krasichynska N, Voth D, Duncan S, Rossnagel BG, Scoles GJ (2002)
Development of
Evans DE,
Collins HM, Eglinton JK, Wilhelmson A (2005) Assessing the impact of the level
of diastatic power enzymes and their thermostability on the hydrolysis of
starch during wort production to predict malt fermentability. J. Am. Soc. Brew.
Chem. 63: 185-198.
Gao W,
Clancy JA, Han F, Jones BL, Budde A, Wesenberg DM, Kleinhofs A, Ullrich SE,
North American Barley Genome Project (2004) Fine mapping of a malting-quality
QTL complex near the chromosome 4H S telomere in barley. Theor. Appl. Genet.
109: 750-760.
Hayes PM,
Liu BH, Knapp SJ, Chen F, Jones B, Blake T, Franckowiak J, Rasmusson D,
Sorrells M, Ullrich SE, Wesenberg D, Kleinhofs A (1993) Quantitative trait
locus effects and environmental interaction in a sample of North American
barley germ plasm. Theor. Appl. Genet. 87: 392-340.
Mather DE,
Tinker
Figure 1. Dendrogram produced by UPGMA
clustering based on the Dice similarity coefficient. AU: Agricore United,

|
Table 1. Pairwise Wrights fixation index ( |
||||||||
|
|
AU |
Coors |
Cargill |
|
CDC |
AAFC |
AAFC |
AAFRD Lacombe |
|
AU |
- |
0.087 |
0.000 |
0.170 |
0.334 |
0.246 |
0.119 |
0.061 |
|
Coors |
0.061 |
- |
0.025 |
0.284 |
0.411 |
0.319 |
0.212 |
0.155 |
|
Cargill |
0.380 |
0.378 |
- |
0.255 |
0.333 |
0.256 |
0.135 |
0.071 |
|
|
0.000 |
0.001 |
0.000 |
- |
0.291 |
0.185 |
0.116 |
0.107 |
|
CDC |
0.001 |
0.000 |
0.001 |
0.000 |
- |
0.035 |
0.196 |
0.141 |
|
AAFC |
0.000 |
0.000 |
0.000 |
0.004 |
|
- |
0.101 |
0.075 |
|
AAFC |
0.021 |
0.011 |
0.023 |
0.002 |
0.000 |
0.000 |
- |
0.027 |
|
AAFRD Lacombe |
0.030 |
0.001 |
0.038 |
0.000 |
0.000 |
0.000 |
0.144 |
- |
|
AU: Agricore United, |
||||||||
|
Table
2. DArT markers associated with seven malting quality traits and true loose
smut resistance. |
||||
|
Trait |
Marker |
Chromosome |
Position (cM) |
P Value |
|
AA |
bPb-7039 |
2H |
71 |
1.4x10-4 |
|
|
bPb-9868 to bPb-7292 |
5H |
184-190 |
4.8x10-6 to 7.31x10-11 |
|
|
bPb-8084* |
7H |
5 |
4.2x10-4 |
|
BG |
bPb-6194* |
2H |
102 |
2.8x10-4 |
|
|
bPb-5766 to bPb-7292 |
5H |
188-190 |
2.4x10-5 to 3.7x10-6 |
|
DP |
bPb-0615 to bPb-5519 |
2H |
11-16 |
1.4x10-4 to 2.0x10-5 |
|
|
bPb-9868 to bPb-7292 |
5H |
184-190 |
2.7x10-5 to 3.6x10-9 |
|
|
bPb-6821 to bPb-5091* |
7H |
50 |
3.3x10-4 |
|
|
bPb-1737 |
7H |
158 |
5.9x10-5 |
|
FExt |
bPb-3056 to bPb-6881* |
2H |
70 |
2.6x10-5 to 2.7x10-6 |
|
|
bPb-0351 |
5H |
21 |
1.7x10-4 |
|
|
bPb-5766 to bPb-7292 |
5H |
188-190 |
3.8x10-4 |
|
Friab |
bPb-6821 to bPb-5091 |
7H |
50 |
1.6x10-4 to 9.4x10-5 |
|
|
bPb-3394* |
7H |
79 |
1.3x10-4 |
|
|
bPb-7781* |
7H |
103 |
8.0x10-5 |
|
Prot |
bPb-2055 to bPb-9414* |
1H |
13-16 |
2.4x10-5 to 9.1x10-6 |
|
|
bPb-9632 to bPb-0050* |
5H |
31 |
3.8x10-4 to 1.1x10-4 |
|
|
bPb-4219 to bPb-7952* |
7H |
74 |
2.3x10-4 to 9.1x10-5 |
|
SP |
bPb-1986* |
2H |
147 |
1.0x10-5 |
|
|
bPb-4809 to bPb-7292 |
5H |
186-190 |
1.4x10-5 to 2.5x10-14 |
|
LS |
bPb-1959 to bPb-6065 |
1H |
133-136 |
1.2x10-5 to 9.4x10-13 |
|
AA:
alpha amylase, BG: beta-glucan, DP: diastatic power, FExt: fermentable
extract, Friab: friability, Prot: protein, SP: soluble protein, LS: loose
smut. *
Potential new malt quality locus. |
||||
Net blotch quantitative
trait loci their practical application in barley breeding
Tajinder S. Grewal, Brian
G. Rossnagel and Graham J. Scoles. Crop Development Centre/Department of Plant
Sciences,
Barley net blotch, caused by Pyrenophora
teres Drechs. [anamorph: Drechslera teres (Sacc.) Shoemaker] is an
important foliar disease in
Here we report the mapping of net blotch resistance quantitative trait
loci (QTL) in a doubled-haploid (DH) barley population using Diversity Arrays
Technology (DArTฎ) markers; identification of SSR markers linked to major QTL;
validation in other barley populations and potential use in molecular-marker
assisted selection (MMAS) in the Crop Development Centre (CDC) barley breeding
program.
Materials
and methods
One
hundred and fifty DH lines from the cross CDC Dolly/TR251 were screened at the
seedling stage with NFNB isolates
DArT mapping and QTL analysis was as
described in Grewal et al. (2008). QRptt indicates a QTL for resistance
to P. teres f. teres (NFNB) and QRptm indicates a QTL
for resistance to P. teres f. maculata (SFNB). QRpt
indicates a QTL for resistance to P. teres, i.e., effective against both
NFNB and SFNB. QRpt is followed by s or a if effective only at the
seedling or adult-plant stage and followed by the barley chromosome onto which
the QTL was mapped.
To
determine the effect of individual QTL and their combinations on net blotch
resistance, the mean infection response (IR) of all lines with the resistance
allele for each QTL or their combinations was calculated and compared with the
mean of lines having the susceptible allele for that particular QTL. T-tests
(P = 0.05) were performed to determine statistical significance.
Simple sequence repeat (SSR) markers linked to major net blotch
resistance QTL were identified and validated in other barley populations. One
hundred and fifty DH lines from the CDC Bold/TR251 population were screened at
the seedling stage with NFNB isolates
Results and Discussion
A major NFNB seedling resistance QTL, designated QRpt6, was mapped to chromosome 6H for isolates
QRpt6 was further validated in the CDC Bold/TR251
population for seedling resistance to NFNB isolates

Fig. 1 Multiple-QTL model (MQM) LOD
scans of chromosomes where QTL were detected for NFNB resistance in the CDC
Dolly/TR251 DH population. Vertical lines indicate significance threshold for
each experiment, estimated from 1000 permutations. One QTL on 4H associated
with NFNB (
Screening
the parents of 22 barley populations with SSR markers linked to QRpt6 and QRpts4 identified several polymorphic populations, indicating these
SSR markers could be used for practical MMAS in the CDC barley breeding
program. Four populations were screened with SSR markers HVM74 and HVM03 to
select lines resistant to both net blotch forms.
Screening
selected barley lines from
Table 1.
Average infection response of lines from the
|
QTL/Test |
|
NFNB
|
|
|
SFNB |
|
|
|
|
bAllele |
cWRS858 |
Field 2006 |
Field 2007 |
Field 2008 |
cWRS857 |
d# of lines |
|
QRpt6 |
R |
4.0** |
3.0** |
2.7** |
2.8** |
5.7** |
79 |
|
S |
6.8 |
4.5 |
4.0 |
3.8 |
6.8 |
69 |
|
|
QRpts4 |
R |
5.0 |
3.6 |
3.0* |
3.2 |
6.0 |
62 |
|
S |
5.6 |
3.8 |
3.6 |
3.4 |
6.4 |
83 |
|
|
QRpt6+QRpts4 |
R |
3.4** |
2.8** |
2.4** |
2.8** |
5.4** |
25 |
|
S |
7.1 |
4.8 |
4.5 |
4.0 |
6.9 |
32 |
|
b Resistance (R) or susceptible (S)
allele at a particular QTL locus/loci.
cPyrenophora
teres isolate
d Total number of lines with R or S
allele at particular QTL.
*Significant
(P <0.05) or **highly significant
(P <0.01) using T-test at
particular QTL or their combinations.
The results
demonstrate that MMAS resistant lines had significantly lower infection than
susceptible lines, indicating that MMAS for net blotch resistance is practical. Since
the major 6H QTL, QRpt6, may provide adequate NFNB field resistance in
western Canada, the practical application plan for the Crop Development Centre barley breeding
program is to routinely utilize MMAS for QRpt6
followed by normal field screening in field net blotch nurseries to identify
additional resistance provided by resistance genes associated with other QTL. Resources permitting the CDC program
has implemented routine MMAS for QRpt6
and recommends this approach to other breeding programs.
Selected
references
Cakir, M., S.
Gupta, G.J. Platz, G.A. Ablett, R. Loughman, L.C. Embiri, D. Poulsen, C.D. Li,
R.C.M. Lance, N.W. Galwey, M.G.K. Jones, and R. Appels. 2003. Mapping and
validation of the genes for resistance to Pyrenophora
teres f. teres in barley (Hordeum vulgare L.). Aust. J. Agric.
Res. 54:1369-1377.
Grewal, T.S.,
B.G. Rossnagel, C.J. Pozniak, and G.J. Scoles. 2008. Mapping quantitative trait
loci associated with barley net blotch resistance. Theor. Appl. Genet.
116:529-539.
Steffenson,
B.J. 1997. Net blotch. In:
Tekauz,
A. 1990. Characterization and distribution of pathogenic variation in Pyrenophora
teres f. teres and P. teres f. maculata from western