10.04.2013 Views

Proceedings of the 4th Canadian Barley Symposium

Proceedings of the 4th Canadian Barley Symposium

Proceedings of the 4th Canadian Barley Symposium

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

18 th North American<br />

<strong>Barley</strong> Researchers<br />

Workshop<br />

and<br />

4 th <strong>Canadian</strong> <strong>Barley</strong><br />

<strong>Symposium</strong><br />

July 17-20, 2005<br />

Red Deer, Alberta


<strong>Proceedings</strong><br />

<strong>of</strong> <strong>the</strong><br />

18 th Triennial<br />

North American <strong>Barley</strong> Researchers Workshop<br />

and<br />

4 th <strong>Canadian</strong> <strong>Barley</strong> <strong>Symposium</strong><br />

July 17–20, 2005<br />

Capri Hotel and Convention Centre<br />

Red Deer, Alberta, Canada


Contents<br />

Sponsors ........................................................................................................................................... 1<br />

Hosts .................................................................................................................................................. 7<br />

NABRW Website ............................................................................................................................... 7<br />

Organizing Committee ..................................................................................................................... 8<br />

Agenda............................................................................................................................................... 9<br />

Monday, July 18, 2005 – a.m.<br />

Session 1 - FEED AND FOOD QUALITY ....................................................................................... 15<br />

Expanding opportunties for barley food and feed through product innovation<br />

L. Malcolmson, R. Newkirk and G. Carson...........................................................................................................16<br />

Validation <strong>of</strong> an in vitro analysis to determine energy digestibility <strong>of</strong> barley for grower pigs<br />

R.T. Zijlstra, W.C. Sauer, J.H. Helm, D.N. Overend, R.W. Newkirk....................................................................18<br />

Beta-glucan depleted barley and oat flours as animal feed<br />

Ian R. Johnson, Doug R. Korver, Thava Vasanthan and Feral Temelli .................................................................19<br />

Improvement <strong>of</strong> barley-based food product color<br />

B.-K. Baik , Z. Quinde, and S. E. Ullrich ..............................................................................................................24<br />

Food barley development at <strong>the</strong> Crop Development Centre, University <strong>of</strong> Saskatchewan<br />

B.G.Rossnagel, T. Zatorski and G. Arganosa........................................................................................................29<br />

Posters<br />

Breeding for malt and feed quality barley in nor<strong>the</strong>rn Australia<br />

Glen Fox, Jan Bowman, Karyn Onley-Watson, Andrew Skerman, Gary Bloustein, Alison Kelly,<br />

Andy Inkerman, David Poulsen and Robert Henry................................................................................................33<br />

Milling energy and grain hardness in barley<br />

G. A. Camm and B.G. Rossnagel ..........................................................................................................................34<br />

Low phytate barley (Hordeum vulgare L.) development at <strong>the</strong> Crop Development Centre,<br />

University <strong>of</strong> Saskatchewan<br />

B.G. Rossnagel, T. Zatorski, G. Arganosaand V. Raboy.......................................................................................35<br />

Post-an<strong>the</strong>sis biomass yield and quality <strong>of</strong> barley cultivars developed by Field Crop<br />

Development Centre<br />

Nyachiro, J.M., J.H. Helm and P.E. Juskiw...........................................................................................................36<br />

Process development for quick cooking barley products<br />

Hong Qi; Connie Phillips; M. Eliason; Karen Erin and Feral Temelli ..................................................................37<br />

Monday, July 18, 2005 – p.m.<br />

Session 2 - PATHOLOGY AND ENTOMOLOGY........................................................................... 38<br />

International germplasm development for multiple disease resistance<br />

Flavio Capettini, Stefania Grando, Salvatore Ceccarelli, Amor Yahyaoui............................................................39<br />

Differential response <strong>of</strong> barley cultivars and accessions to Rhynchosporium secalis under field<br />

conditions<br />

Turkington, T.K., and Xi, K...................................................................................................................................50


Mapping genes for Russian wheat aphid resistance in barley<br />

Shipra Mittal, Lynn Dahleen and Dolores Mornhinweg........................................................................................55<br />

Sequence tagged site markers linked to Septoria speckled leaf blotch resistance genes in barley<br />

(Hordeum vulgare L.)<br />

S.H. Lee and S.M. Neate........................................................................................................................................56<br />

Posters<br />

PCR detection and quantification <strong>of</strong> Fusarium species<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles ..................................................................................61<br />

Can we use Australian identified molecular markers for barley net blotch resistance in western<br />

<strong>Canadian</strong> barley breeding programs?<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles ..................................................................................62<br />

Selection for improved scald resistance in <strong>the</strong> Crop Development Centre barley improvement<br />

program<br />

B.G. Rossnagel, D. Voth, T. Zatorski, D.D. Orr and T.K. Turkington..................................................................63<br />

Selection for improved FHB tolerance in <strong>the</strong> Crop Development Centre barley improvement<br />

program<br />

B. Rossnagel, D. Voth, T. Zatorski, J. Tucker, W. Legge, and M. Savard ............................................................64<br />

An AFLP derived tightly linked marker for true loose smut resistance (Un8)<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles .......................................................................65<br />

Cytological karyotyping <strong>of</strong> Pyrenophora teres<br />

A.D. Beattie, G.J. Scoles, B.G. Rossnagel.............................................................................................................66<br />

A molecular linkage map <strong>of</strong> Pyrenophora teres<br />

A.D. Beattie, G.J. Scoles, B.G. Rossnagel.............................................................................................................67<br />

The barley stem rust resistance gene Rpg5 encodes NBS-LRR and protein kinase domains<br />

in a single gene<br />

R. Brueggeman , T. Drader , A. Druka , T. Cavileer , B. Steffenson , J. Nirmala, H. Bennypaul,<br />

K. Gill and A. Kleinh<strong>of</strong>s........................................................................................................................................68<br />

In vitro selection for pre-screening barley for resistance to Fusarium head blight<br />

Kumar, K. , Xi, K. , Helm, J.H. , Turkington, T.K. (3), and Jennifer Zantinge ....................................................69<br />

Diversification strategies for barley disease management in Alberta<br />

Turkington, T.K., Xi, K., Clayton, G.W., Harker, K.N., O’Donovan, J.G., and Lupwayi, N. ..............................70<br />

Resistance <strong>of</strong> western <strong>Canadian</strong> barley genotypes to scald in Alberta<br />

K. Xi , T.K. Turkington and C. Bos .....................................................................................................................71<br />

Mapping and molecular marker development <strong>of</strong> scald resistance in ‘Seebe’ barley<br />

Zantinge, J.L., J.H. Helm, Z. Hartman, J.B. Russell, and K. Xi ............................................................................72<br />

Breeding for multiple disease and multiple gene resistance in barley<br />

James H. Helm, H. Vivar, F. Capettini, K. Xi, P. Juskiw, and J. Zantinge............................................................73<br />

Variation in virulence among net blotch isolates infecting barley<br />

Linnea G Skoglund ................................................................................................................................................74<br />

Assessment <strong>of</strong> artificial inoculation methods and deoxynivalenol levels in barley lines<br />

representing various candidate sources <strong>of</strong> resistance to Fusarium head blight<br />

Geddes, J. , Eudes, F. , Legge, B. , Tucker, J. .......................................................................................................75<br />

Reactions <strong>of</strong> barley lines to leaf rust, caused by Puccinia hordei<br />

Y. Sun , J. D. Franckowiak , and, S. M. Neate .....................................................................................................76


Tuesday, July 19, 2005 – a.m.<br />

Session 3: MALTING AND BREWING QUALITY ......................................................................... 77<br />

Brewing and Malting: Where are we and more importantly, where are we going?<br />

Rob McCaig...........................................................................................................................................................78<br />

The endoproteinases <strong>of</strong> barley and malt and <strong>the</strong>ir endogenous inhibitors<br />

Berne L. Jones........................................................................................................................................................87<br />

Molecular structure and degradation patterns <strong>of</strong> endosperm cell walls from barley differing in<br />

hardness and beta-glucan and protein contents<br />

M.S. Izydorczyk , A. Lazaridou , T. Chornick , L. Dushnicky .............................................................................93<br />

Amino acid levels in wort and <strong>the</strong>ir significance in developing malting barley varieties<br />

Edney, M.J., Legge, W.G. and Rossnagel, B.G.....................................................................................................99<br />

Commercialization <strong>of</strong> Near Infrared Reflectance Spectroscopy (NIRS) for screening breeding<br />

lines in <strong>the</strong> breeding program and screening grain lots in a malt plant<br />

James H. Helm, Lori Oatway and Patricia Juskiw...............................................................................................104<br />

Posters<br />

The differences in fermentable carbohydrates <strong>of</strong> major <strong>Canadian</strong> malting barley varieties and<br />

<strong>the</strong>ir effects on fermentation<br />

Yueshu Li, Rob McCraig, Ken Sawatzky, Aleks Egi and Michael Edney ..........................................................108<br />

NanoMash: A novel procedure for research mashing <strong>of</strong> limited-quantity barley malts<br />

Laurie A. Marinac and Mark R. Schmitt..............................................................................................................108<br />

Comparison <strong>of</strong> hull peeling resistance <strong>of</strong> barley and malt in western <strong>Canadian</strong> two-row<br />

barley lines<br />

W.G. Legge, J.S. Noll, and B.G. Rossnagel ........................................................................................................109<br />

Elimination <strong>of</strong> barley colour defects in Australia<br />

Glen Fox, Maria Sulman and Kevin Young.........................................................................................................110<br />

Characterization <strong>of</strong> barley tissue-ubiquitous beta-amylase2<br />

Suzanne E. Clark, Patrick M. Hayes, and Cynthia A. Henson.............................................................................110<br />

<strong>Barley</strong> seed osmolyte concentration as an indicator <strong>of</strong> preharvest sprouting<br />

Cynthia A. Henson, Stanley H. Duke, Paul Schwarz, Rich Horsley, and Charles Karpelenia ............................111<br />

Osmolyte concentration as an indicator <strong>of</strong> malt quality<br />

Cynthia A. Henson, Stanley H. Duke, and Charles Karpelenia ...........................................................................111<br />

Relationships among malt fermentability and malt quality parameters under <strong>the</strong> influence <strong>of</strong><br />

barley β-amylase heat stable allele<br />

Blanca Gómez, Héctor Acevedo, and Ana Clara Lopez ......................................................................................112<br />

Tuesday, July 19, 2005 – p.m.<br />

Session 4: BREEDING, AGRONOMY, AND GERMPLASM....................................................... 113<br />

<strong>Barley</strong> ecology and management<br />

Clayton, G.W., O’Donovan, J.T., Irvine, R.B., Harker, K.N., Turkington, T.K. Lupwayi, N.Z.,<br />

and McKenzie, R.H. ............................................................................................................................................114<br />

Carbon isotope discrimination as a selection criterion for improved water use efficiency and<br />

productivity <strong>of</strong> barley on <strong>the</strong> prairies<br />

Anyia, A.O., Archambault, D.J., Slaski, J.J., and Nyachiro, J.M. .......................................................................118<br />

Twenty-five years <strong>of</strong> male-sterile-facilitated recurrent selection in barley<br />

Mario C. Therrien ................................................................................................................................................124<br />

Measuring phyllochrons in barley to use for seeding date recommendations<br />

Pat Juskiw, Jim Helm and Joseph Nyachiro ........................................................................................................128


Posters- Breeding, Agronomy, and Germplasm<br />

Russian wheat aphid resistant barley – cultivar and germplasm release<br />

D.W. Mornhinweg, P.P. Bregitzer, D.A. Obert, F.B. Peairs, D. Baltensperger and R. Hammon........................133<br />

BARMS: A new relational database for barley breeding programs<br />

D. B. Cooper and Bruce Westlund.......................................................................................................................134<br />

Mapping and molecular marker development <strong>of</strong> seed dormancy in a barley population derived<br />

from ‘Samson’ barley<br />

J.L. Zantinge, J.M. Nyachiro, S. Chisholm, J.H. Helm, P.E. Juskiw and D.F. Salmon .......................................135<br />

Genotypic variations in preharvest sprouting resistance and seed dormancy in barley<br />

Nyachiro J.M., J.L. Zantinge, J.H. Helm, P.E. Juskiw and D.F. Salmon.............................................................136<br />

Using growing degree days to estimate maturity in small grain cereals<br />

Juskiw, P., Helm, J., Salmon, D., and Nyachiro, J...............................................................................................137<br />

Twelve years <strong>of</strong> barley-based rotations<br />

Juskiw, P., and Westling, D. ................................................................................................................................137<br />

Development <strong>of</strong> winter hulless barley varieties as a high value crop<br />

W.S. Brooks, C.A. Griffey and M.E. Vaughn .....................................................................................................138<br />

Multiple dominant and recessive marker stock development<br />

Robert I. Wolfe ....................................................................................................................................................139<br />

Genetic male sterile and xenia assisted reciprocal recurrent selection<br />

Robert I. Wolfe ....................................................................................................................................................140<br />

Isoyield analysis <strong>of</strong> barley cultivar trials in <strong>the</strong> <strong>Canadian</strong> Prairies<br />

Rong-Cai Yang, Daniel Stanton, Stanford F. Blade, James Helm and Dean Spaner...........................................141<br />

Wednesday, July 20, 2005 – a.m.<br />

Session 5: BIOTECHNOLOGY AND GENOMICS ...................................................................... 142<br />

Applications <strong>of</strong> GeneChips for barley improvement<br />

Gary J. Muehlbauer, David F. Garvin, Kevin Smith, Jayanand Boddu and Seungho Cho ..................................143<br />

Molecular characterization <strong>of</strong> barley for variety description and identification<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles .....................................................................148<br />

Transcriptional pr<strong>of</strong>iling <strong>of</strong> gene expression during malting in barley<br />

Nora Lapitan, Anna-Maria Botha-Oberholster, Timothy J. Close, and Christopher Lawrence...........................152<br />

Molecular marker assisted introgression <strong>of</strong> loose and covered smut resistance into CDC McGwire<br />

hulless barley<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles ................................................................................157<br />

Coupling expressed sequences and bacterial artificial chromosome resources to access <strong>the</strong><br />

barley genome<br />

Kavitha Madishetty, Jan T. Svensson, Pascal Condamine, Jie Zheng, Steve Wanamaker, Ming-Cheng Luo,<br />

Tao Jiang, Stefano Lonardi and Timothy J. Close ...............................................................................................162<br />

Analysis <strong>of</strong> barley necrotic mutants in relation to disease resistance/susceptibility<br />

A. Kleinh<strong>of</strong>s, N. Rostoks, L. Zhang and B. Steffenson .......................................................................................168<br />

Posters<br />

A TaqMan ® fluorescent reporter probe replaces gel electrophoresis for <strong>the</strong> Rpg1 SCAR<br />

marker in molecular marker-assisted selection<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles .....................................................................169<br />

Genetic analysis <strong>of</strong> preharvest sprouting in barley<br />

S.E. Ullrich, J.A. Clancy, H. Lee, F. Han, K. Matsui, I.A. del Blanco ................................................................170


Effects <strong>of</strong> ethylene in barley (Hordeum vulgare L.) tissue culture regeneration<br />

Jha, Ajay K., Lynn S. Dahleen and Jeff C. Suttle ................................................................................................171<br />

Validation <strong>of</strong> select diastatic power QTL in elite Western U. S. six-rowed spring barley<br />

germplasms<br />

D. H<strong>of</strong>fman, A. Hang, and D. Obert....................................................................................................................172<br />

The barley stem rust resistance gene product RPG1 is specifically degraded upon infection<br />

with <strong>the</strong> stem rust fungus Puccinia graminis f. sp. tritici pathotype MCC<br />

J. Nirmala, B. Steffenson and A. Kleinh<strong>of</strong>s ........................................................................................................173<br />

Saturation mapping <strong>of</strong> barley chromosome 2H Fusarium head blight resistance QTL<br />

Christina Maier, Deric Schmierer, Thomas Drader, Richard Horsley, and Andris Kleinh<strong>of</strong>s .............................174<br />

Map-based cloning efforts <strong>of</strong> <strong>the</strong> barley spot blotch resistance gene Rcs5<br />

Thomas B Drader, Kara A Johnson, Robert S Brueggeman, Hye Ran Kim, Dave Kudrna, Rod Wing,<br />

Brian Steffeson, and Andris Kleinh<strong>of</strong>s ................................................................................................................175<br />

A gene tagging system for Hordeum vulgare<br />

François Eudes, André Laroche, Michele Frick, Jennifer Geddes and Laurian Robert .......................................176<br />

Unraveling <strong>the</strong> mysteries <strong>of</strong> germination using SAGE (Serial Analysis <strong>of</strong> Gene Expression)<br />

Toni Pacey-Miller, Jessica White, Allison Crawford, Peter Bundock, Giovanni Cordeiro, Daniel Barbary<br />

and Robert Henry.................................................................................................................................................177<br />

Participants ................................................................................................................................... 178


Sponsors<br />

Sponsors<br />

PLATINUM<br />

Alberta <strong>Barley</strong> Commission<br />

Alberta Agriculture, Food & Rural Development<br />

Field Crop Development Centre<br />

GOLD<br />

<strong>Canadian</strong> Wheat Board<br />

ICARDA<br />

SILVER<br />

Big Rock Brewery<br />

Brewing and Malting <strong>Barley</strong> Research Institute<br />

SeCan Association<br />

BRONZE<br />

<strong>Canadian</strong> Grain Commission<br />

Rahr Malting Canada<br />

Wintersteiger<br />

SUPPORTER<br />

Alley Kat Brewing<br />

Conviron<br />

Fischer Scientific<br />

FOSS<br />

Western Producer<br />

- 1 -


Sponsors<br />

Platinum Sponsorship – Alberta <strong>Barley</strong> Commission<br />

To advance <strong>the</strong> interests <strong>of</strong><br />

Alberta barley farmers<br />

through leadership and<br />

investment in innovation and<br />

development.<br />

The Alberta <strong>Barley</strong> Commission is a not-for-pr<strong>of</strong>it organization which is funded,<br />

directed and controlled by Alberta barley farmers. The Commission was established<br />

on August 1, 1991 under <strong>the</strong> province's Marketing <strong>of</strong> Agricultural Products Act with<br />

a mandate to coordinate and sponsor research, market development, technology<br />

transfer, and policy development on behalf <strong>of</strong> barley producers. It is <strong>the</strong> only barley<br />

commission in Canada.<br />

- 2 -


Sponsors<br />

Platinum Sponsorship – Alberta Agriculture, Food & Rural Development<br />

Mission Statement<br />

The purpose and goal <strong>of</strong> <strong>the</strong> Field Crop Development Centre is:<br />

The development <strong>of</strong> cereal crops through breeding, genetic, molecular,<br />

physiological and agronomic research with emphasis on high quality feed,<br />

fodder, and food crops, for <strong>the</strong> benefit <strong>of</strong> a viable and sustainable agri-food<br />

industry.<br />

Alberta / Canada <strong>Barley</strong> Development Project<br />

The agreement came into being as a joint partnership between Alberta Agriculture, Food &<br />

Rural Development, Agriculture & Agri-Food Canada, Alberta Agricultural Research Institute<br />

and <strong>the</strong> Alberta <strong>Barley</strong> Commission.<br />

The Alberta/Canada <strong>Barley</strong> Development Agreement is a co-operative scientific research<br />

program that has come toge<strong>the</strong>r to develop new and better barley cultivars to enhance and<br />

advance <strong>the</strong> agri-food sector in Alberta and <strong>the</strong> Peace River area <strong>of</strong> British Columbia.<br />

- 3 -


Vision<br />

Sponsors<br />

Gold Sponsorship – The <strong>Canadian</strong> Wheat Board<br />

To unite western <strong>Canadian</strong> grain farmers as <strong>the</strong> world-recognized, premier<br />

grain marketer.<br />

Mission<br />

The CWB markets and provides quality products and services in order to maximize<br />

value to our owners, western <strong>Canadian</strong> grain farmers.<br />

About Us<br />

The <strong>Canadian</strong> Wheat Board (CWB) is a farmer-controlled organization that markets wheat<br />

and barley grown by western <strong>Canadian</strong> producers. Based in Winnipeg, Manitoba, <strong>the</strong> CWB is<br />

<strong>the</strong> largest single seller <strong>of</strong> wheat and barley in <strong>the</strong> world, holding more than 20 per cent <strong>of</strong><br />

<strong>the</strong> international market.<br />

Gold Sponsorship – ICARDA<br />

INTERNATIONAL CENTRE FOR AGRICULTURAL RESEARCH IN THE DRY AREAS<br />

ICARDA’s mission is to improve <strong>the</strong> welfare <strong>of</strong> poor people and<br />

alleviate poverty through research and training in dry areas <strong>of</strong> <strong>the</strong><br />

developing world, by increasing <strong>the</strong> production, productivity, and<br />

nutritional quality <strong>of</strong> food, while preserving and enhancing <strong>the</strong><br />

natural resource base.<br />

- 4 -


Sponsors<br />

Silver Sponsorship<br />

Big Rock Brewery<br />

5555-76th Avenue S.E.<br />

Calgary, Alberta Canada T2C 4L8<br />

beer@bigrockbeer.com<br />

Supporting <strong>the</strong> development and evaluation <strong>of</strong> new malting barley varieties<br />

in Canada since 1948<br />

. . . <strong>the</strong> Seeds <strong>of</strong> a Successful Future . . .<br />

- 5 -


Sponsors<br />

Bronze Sponsorship<br />

<strong>Canadian</strong> Grain Commission<br />

Rahr Malting Canada<br />

Wintersteiger<br />

- 6 -


Conference Hosts<br />

Hosts<br />

<strong>Barley</strong> Development Council<br />

Alberta <strong>Barley</strong> Commission<br />

Field Crop Development Centre<br />

NABRW Website<br />

The workshop papers and abstracts will be posted on <strong>the</strong> NABRW website which is on Alberta<br />

Agriculture’s Ropin’ <strong>the</strong> Web site at http://www.agric.gov.ab.ca and click on Crops > Cereals ><br />

Research.<br />

- 7 -


Organizing Committee<br />

Organizing Committee<br />

Chair<br />

Jim Helm<br />

Co-Chairs<br />

Bill Chapman<br />

George Clayton<br />

Patricia Juskiw<br />

Joseph Nyachiro<br />

Kelly Turkington<br />

Kequan Xi<br />

Jennifer Zantinge<br />

Sponsorship Chair<br />

Dave Dyson<br />

Local Organizers<br />

Lori Oatway<br />

Carol Dyson<br />

Thank you<br />

To all <strong>the</strong> staff at <strong>the</strong> Field Crop Development Centre<br />

for all <strong>of</strong> your help.<br />

Susie Albers Elaine Lacroix<br />

Colin Bergen Susan Lajeunesse<br />

Tracy Black Laura Leggott<br />

Cherylynn Bos Shan Lohr<br />

John Bowness Donald Morehouse<br />

Sasha Chisholm Ward Oatway<br />

Tim Duggan Mike Oro<br />

Stan Hand Jeannie Russell<br />

Deanna Hall Don Salmon<br />

Christine Hanrahan Bev Smith<br />

Mark Howe Carla Weidner<br />

Krishan Kumar Donna Westling<br />

- 8 -


PRE-MEETINGS AND WELCOME<br />

3:00 pm <strong>Barley</strong> Development Council Annual<br />

Meeting<br />

7:30 – 8:30 Poster set-up and Registration<br />

7:30 – 9:30 Welcome Social<br />

8:30 Short program<br />

Session 1<br />

Session 1<br />

8:15 – 9:00<br />

Theme<br />

9:00 – 9:20<br />

Feed Oral 1<br />

9:20 – 9:40<br />

Feed Oral 2<br />

9:40 – 10:00<br />

FEED AND FOOD QUALITY<br />

Oral Presentations<br />

Theme Speaker: Linda Malcolmson<br />

Zijlstra, R.T., W.C. Sauer, J.H. Helm, D.N.<br />

Overend, and R.W. Newkirk.<br />

Johnson, I.R., D.R. Korver, T. Vasanthan,<br />

and F. Temelli<br />

Break<br />

Agenda<br />

Agenda<br />

Sunday, July 17 th<br />

Monday, July 18 th - morning<br />

Chair: Ruurd Zijlstra<br />

Expanding opportunities for barley food and<br />

feed through product innovation<br />

Validation <strong>of</strong> an in vitro analysis to<br />

determine energy digestibility <strong>of</strong> barley for<br />

grower pigs<br />

Beta-glucan depleted barley and oat flours as<br />

animal feed<br />

<strong>Canadian</strong><br />

International<br />

Grains Institute<br />

University <strong>of</strong><br />

Alberta<br />

University <strong>of</strong><br />

Alberta<br />

10:00 – 10:20 Baik, B.-K., Z. Quinde, and S.E. Ullrich Improvement <strong>of</strong> barley-based food product Washington State<br />

Feed Oral 3<br />

color<br />

University<br />

10:20 – 10:40 Rossnagel, B.G., T. Zatorski, and G. Food barley development at <strong>the</strong> Crop University <strong>of</strong><br />

Feed Oral 4 Arganosa<br />

Development Centre, University <strong>of</strong><br />

Saskatchewan<br />

Saskatchewan<br />

10:40 – 12:00 Session 1<br />

Poster Presentations<br />

Feed Poster 1 Fox, G., J. Bowman, K. Onley-Watson, A. Breeding for malt and feed quality barley in Queensland Dept.<br />

Skerman, G. Bloustein, A. Kelly, A.<br />

Inkerman, D. Poulsen, and R. Henry<br />

nor<strong>the</strong>rn Australia<br />

Primary Industries<br />

Feed Poster 2 Camm, G., and B.G. Rossnagel Milling energy and grain hardness in barley University <strong>of</strong><br />

Saskatchewan<br />

Feed Poster 3 Rossnagel, B.G., T. Zatorski, G. Arganosa, Low phytate barley (Hordeum vulgare L.) University <strong>of</strong><br />

and V. Raboy<br />

development at <strong>the</strong> Crop Development<br />

Centre, University <strong>of</strong> Saskatchewan<br />

Saskatchewan<br />

Feed Poster 4 Nyachiro, J., J.H. Helm and P.E. Juskiw Post-an<strong>the</strong>sis biomass yield and quality <strong>of</strong> Field Crop<br />

barley cultivars developed by <strong>the</strong> Field Crop Development<br />

Development Centre<br />

Centre<br />

Feed Poster 5 Qi, H., C. Phillips, M. Eliason, K. Erin, and Process development for quick cooking Ctr. For Agri-<br />

F. Temelli<br />

barley products<br />

Industrial Techn.<br />

(AAFRD)<br />

12:00 – 1:00 Lunch<br />

- 9 -


Agenda<br />

Monday, July 18 th - afternoon<br />

Session 2 PATHOLOGY AND ENTOMOLOGY Chairs: Kelly Turkington and Kequan Xi<br />

Session 2 Oral Presentations<br />

1:00 – 1:45 Theme Speaker: Flavio Capettini<br />

International germplasm development for CIMMYT /<br />

Theme<br />

multiple disease resistance<br />

ICARDA<br />

1:45 – 2:05 Turkington, T.K. and K. Xi Differential response <strong>of</strong> barley cultivars and AAFC<br />

Pathology<br />

accessions to Rhynchosporium secalis under Lacombe<br />

Oral 1<br />

field conditions<br />

2:05 – 2:25 Mittal, S., L. Dahleen, and D. Mornhinweg Mapping genes for Russian wheat aphid North Dakota<br />

Pathology<br />

Oral 2<br />

resistance in barley<br />

State Univ.<br />

2:25 – 2:45 Lee, S.H., and S. M. Neate<br />

Sequence tagged site markers linked to North Dakota<br />

Pathology<br />

Septoria speckled leaf blotch resistance genes State Univ.<br />

Oral 3<br />

in barley (Hordeum vulgare L.).<br />

2:45 – 3:45 Break and Poster Presentations<br />

Pathology Grewal, T.S., B.G. Rossnagel and G.J. Scoles PCR detection and quantification <strong>of</strong> Fusarium University <strong>of</strong><br />

Poster 1<br />

species<br />

Saskatchewan<br />

Pathology Grewal, T.S., B.G. Rossnagel and G.J. Scoles Can we use Australian identified molecular U <strong>of</strong> Sask.<br />

Poster 2<br />

markers for barley net blotch resistance in<br />

western <strong>Canadian</strong> barley breeding programs?<br />

Pathology Rossnagel, B.G., D. Voth, T. Zatorski, D.D. Selection for improved scald resistance in <strong>the</strong> U <strong>of</strong> Sask.<br />

Poster 3 Orr, and T.K. Turkington<br />

Crop Development Centre barley improvement<br />

program<br />

Pathology Rossnagel, B., D. Voth, T. Zatorski, J. Selection for improved FHB tolerance in <strong>the</strong> U <strong>of</strong> Sask.<br />

Poster 4 Tucker, W. Legge and M. Savard<br />

Crop Development Centre barley improvement<br />

program<br />

Pathology Eckstein, P., D. Hay, B. Rossnagel, and G. An AFLP derived tightly linked marker for true U <strong>of</strong> Sask.<br />

Poster 5 Scoles<br />

loose smut resistance (Un8)<br />

Pathology Beattie, A.D., G.J. Scoles, and B.G.<br />

Cytological karyotyping <strong>of</strong> Pyrenophora teres U <strong>of</strong> Sask.<br />

Poster 6 Rossnagel<br />

Pathology Beattie, A.D., G.J. Scoles, and B.G.<br />

A molecular linkage map <strong>of</strong> Pyrenophora teres U <strong>of</strong> Sask.<br />

Poster 7 Rossnagel<br />

Pathology Brueggeman, R.S., T. Drader, A. Druka, T. The barley stem rust resistance gene Rpg5 Washington<br />

Poster 8 Cavileer, B. Steffenson, J. Nirmala, H. encodes NBS-LRR and protein kinase domains State Univ.<br />

Bennypaul, K. Gill, and A. Kleinh<strong>of</strong>s in a single gene<br />

Pathology Kumar, K., K. Xi, J.H. Helm, T.K.<br />

In vitro selection for pre-screening barley for FCDC<br />

Poster 9 Turkington, and J. Zantinge<br />

resistance to fusarium head blight<br />

Pathology Turkington, T.K., K. Xi, G.W. Clayton, K.N. Diversification strategies for barley disease AAFC<br />

Poster 10 Harker, J.G. O’Donovan, and N. Lupwayi management in Alberta<br />

Lacombe<br />

Pathology Xi, K., T.K. Turkington, and C. Bos Resistance <strong>of</strong> western <strong>Canadian</strong> barley FCDC<br />

Poster 11<br />

genotypes to scald in Alberta<br />

Pathology Zantinge, J.L., J.H. Helm, Z. Hartman, J.B. Mapping and molecular marker development <strong>of</strong> FCDC<br />

Poster 12 Russell, and K. Xi<br />

scald resistance in ‘Seebe’ barley<br />

Pathology Helm, J.H., H. Vivar, F. Capettini, K. Xi, P. Breeding for multiple disease and multiple FCDC<br />

Poster 13 Juskiw, and J. Zantinge<br />

gene resistance in barley<br />

Pathology Skoglund, L.G. Variation in virulence among net blotch Busch Agric.<br />

Poster 14<br />

isolates infecting barley<br />

Resources, Inc.<br />

Pathology Geddes, J., F. Eudes, B. Legge, and J. Tucker Assessment <strong>of</strong> artificial inoculation methods AAFC,<br />

Poster 15<br />

and deoxynivalenol levels in barley lines<br />

representing various candidate sources <strong>of</strong><br />

resistance to Fusarium head blight.<br />

Lethbridge<br />

Pathology Sun, Y., J.D. Franckowiak, and S.M. Neate Reaction <strong>of</strong> barley lines to leaf rust caused by NDSU<br />

Poster 16<br />

Puccinia hordei<br />

3:45 – 4:45 NABRW Business Meeting<br />

5:30 Buses leave for FCDC Research Farm Barbeque at Research Farm<br />

8:30 Buses return to Capri Hotel<br />

- 10 -


Session 3<br />

Agenda<br />

Tuesday, July 19 th - morning<br />

MALTING AND BREWING QUALITY<br />

Chair: Patricia Juskiw<br />

Session 3 Oral Presentations<br />

8:30 – 9:15 Theme Speaker: Rob McCaig Brewing and malting: Where are we and <strong>Canadian</strong><br />

Theme<br />

more importantly, where are we going? Malting <strong>Barley</strong><br />

Technical Centre<br />

9:15 – 9:35 Jones, B.L. The endoproteinases <strong>of</strong> barley and malt USDA (retired)<br />

Malt Oral 1<br />

and <strong>the</strong>ir endogenous inhibitors<br />

9:35 – 9:55 Izydorczyk, M.S., A. Lazaridou, T. Molecular structure and degradation <strong>Canadian</strong> Grain<br />

Malt Oral 2 Chornick, and L. Dushnicky<br />

patterns <strong>of</strong> endosperm cell walls from Commission,<br />

barley differing in hardness and betaglucan<br />

and protein contents<br />

GRL<br />

9:55 – 10:15 Break<br />

10:15 – 10:35 Edney, M.J., W.G. Legge, and B.G. Amino acid levels in wort and <strong>the</strong>ir <strong>Canadian</strong> Grain<br />

Malt Oral 3 Rossnagel<br />

significance in developing malting barley<br />

varieties<br />

Commission<br />

10:35 – 10:55 Helm, J.H., L. Oatway, and P. Juskiw Commercialization <strong>of</strong> near infrared Field Crop<br />

Malt Oral 4<br />

reflectance spectroscopy (NIRS) for Development<br />

screening barley lines in <strong>the</strong> breeding<br />

program and screening grain lots in a malt<br />

plant<br />

Centre<br />

11:00 – 12:00 Session 3<br />

Poster Presentations<br />

Malt Poster 1 Li, Y., R. McCaig, K. Sawatzky, A. Egi, The differences in fermentable<br />

CMBTC<br />

and M. Edney<br />

carbohydrates <strong>of</strong> major <strong>Canadian</strong> malting<br />

barley varieties and <strong>the</strong>ir effects on<br />

fermentation<br />

Malt Poster 2 Marinac, L.A. and M.R. Schmitt NanoMash: A novel procedure for USDA, ARS,<br />

research mashing <strong>of</strong> limited-quantity Cereal Crops<br />

barley malts<br />

Research Unit,<br />

Madison WI<br />

Malt Poster 3 Legge, W.G., J.S. Noll, and B.G.<br />

Comparison <strong>of</strong> hull peeling resistance <strong>of</strong> AAFC Brandon<br />

Rossnagel<br />

barley and malt in western <strong>Canadian</strong> tworow<br />

barley lines<br />

Malt Poster 4 Fox, G., M. Sulman, and K. Young Elimination <strong>of</strong> barley colour defects in Queensland<br />

Australia<br />

Dept. <strong>of</strong> Primary<br />

Industries<br />

Malt Poster 5 Clark, S.E., P.M. Hayes and C.A. Henson Characterization <strong>of</strong> barley tissue- University <strong>of</strong><br />

ubiquitous beta-amylase2<br />

Wisconsin<br />

Malt Poster 6 Henson, C.A., S.H. Duke, P. Schwarz, R. <strong>Barley</strong> seed osmolyte concentration as an University <strong>of</strong><br />

Horsley and C. Karpelenia<br />

indicator <strong>of</strong> preharvest sprouting Wisconsin<br />

Malt Poster 7 C.A. Henson, S.H. Duke and C. Karpelenia Osmolyte concentration as an indicator <strong>of</strong> University <strong>of</strong><br />

malt quality<br />

Wisconsin<br />

Malt Poster 8 Gomez, B., H. Acevedo, and A.C. Lopez Relationships among malt fermentability Laboratorio<br />

and malt quality parameters under <strong>the</strong> Tecnologico del<br />

influence <strong>of</strong> barley beta-amylase heat<br />

stable allele<br />

Uruguay<br />

12:00 Address from <strong>the</strong> Minister <strong>of</strong> Alberta<br />

Agriculture, Food & Rural<br />

Development, Honorable Doug Horner<br />

12:15 – 1:00 Lunch<br />

- 11 -


Session 4<br />

Session 4<br />

1:00 – 1:45<br />

Theme<br />

1:45 – 2:05<br />

Breeding<br />

Oral 1<br />

2:05 – 2:25<br />

Breeding<br />

Oral 2<br />

2:25 – 2:45<br />

Breeding<br />

Oral 3<br />

2:45 – 3:05 Break<br />

3:05 – 3:25<br />

Breeding<br />

Oral 4<br />

3:25 – 3:45<br />

Breeding<br />

Oral 5<br />

BREEDING, AGRONOMY, AND<br />

GERMPLASM<br />

Agenda<br />

Tuesday, July 19 th - afternoon<br />

Chairs: Joseph Nyachiro and Bill<br />

Chapman<br />

Oral Presentations<br />

Theme Speaker: Dale Clark Using multiple resources to develop barley<br />

varieties for North America<br />

Mr. Mike Grenier Agronomic management barriers for<br />

improving selection rate <strong>of</strong> malting barley on<br />

Clayton, G.W., J.T. O’Donovan, J.T.<br />

Irvine, K.N. Harker, T.K. Turkington, N.Z.<br />

Lupwayi and R.H. McKenzie<br />

Anyia, A.O., D.J. Archambault, J.J. Slaski,<br />

and J.M. Nyachiro<br />

<strong>the</strong> <strong>Canadian</strong> prairies<br />

Western<br />

Plant<br />

Breeders<br />

<strong>Canadian</strong><br />

Wheat Board<br />

<strong>Barley</strong> ecology and management AAFC,<br />

Lacombe<br />

Carbon isotope discrimination as a selection<br />

criterion for improved water use efficiency<br />

and productivity <strong>of</strong> barley on <strong>the</strong> prairies<br />

Therrien, M.C. Twenty-five years <strong>of</strong> male-sterile-facilitated<br />

recurrent selection in barley<br />

Juskiw, P., J. Helm, and J. Nyachiro Measuring phyllochrons in barley to use for<br />

seeding date recommendations<br />

3:45 – 4:45 Session 4<br />

Poster Presentations<br />

Breeding Mornhinweg, D.W., P.P. Bregitzer, D.A. Russian wheat aphid resistant barley –<br />

Poster 1 Obert, F.B. Peairs, D. Baltensperger, and<br />

R. Hammon<br />

cultivar and germplasm release<br />

Breeding Cooper, D.B., and B. Westlund BARMS: A new relational database for<br />

Poster 2<br />

barley breeding programs<br />

Breeding<br />

Poster 3<br />

Breeding<br />

Poster 4<br />

Breeding<br />

Poster 5<br />

Breeding<br />

Poster 6<br />

Breeding<br />

Poster 7<br />

Zantinge, J. and J. Nyachiro Mapping and molecular marker development<br />

<strong>of</strong> seed dormancy in a barley population<br />

derived from ‘Samson’ barley<br />

Nyachiro, J.M., J.L. Zantinge, J.H. Helm, Genotypic variation in preharvest sprouting<br />

P.E. Juskiw, and D.F. Salmon<br />

resistance and seed dormancy in barley<br />

Juskiw, P., J. Helm, D. Salmon, and J. Using growing degree days to estimate<br />

Nyachiro<br />

maturity in small grain cereals<br />

Alberta<br />

Research<br />

Council<br />

AAFC,<br />

Brandon<br />

FCDC<br />

USDA-ARS,<br />

Stillwater<br />

OK<br />

Busch<br />

Agricultural<br />

Resources<br />

FCDC<br />

FCDC<br />

FCDC<br />

Juskiw, P., and D. Westling Twelve years <strong>of</strong> barley-based rotations FCDC<br />

Brooks, W.S., C.A. Griffey and M.E.<br />

Vaughn<br />

Development <strong>of</strong> winter hulless barley<br />

varieties as a high value crop<br />

Breeding Wolfe, R.I. Multiple dominant and recessive marker<br />

Poster 8<br />

stock development<br />

Breeding Wolfe, R.I. Genetic male sterile and xenia assisted<br />

Poster 9<br />

reciprocal recurrent selection<br />

Breeding Yang, R.-C., D. Stanton, S. F. Blade, J. Isoyield analysis <strong>of</strong> barley cultivar trials in<br />

Poster 10 Helm, and D. Spaner<br />

<strong>the</strong> <strong>Canadian</strong> Prairies<br />

5:30 - 6:30 Cocktails Monaco Room<br />

6:30 Banquet at <strong>the</strong> Capri Hotel Monaco Room<br />

- 12 -<br />

Virginia<br />

Polytech.<br />

Inst. & State<br />

Univ.<br />

AAFC/FCD<br />

C (retired)<br />

AAFC/FCD<br />

C (retired)<br />

Alberta<br />

Agriculture


Agenda<br />

Wednesday, July 20 th - morning<br />

Session 5 BIOTECHNOLOGY AND GENOMICS Chair: Jennifer Zantinge<br />

Session 5 Oral Presentations<br />

8:15 – 9:00 Theme Speaker: Gary Muehlbauer<br />

Applications <strong>of</strong> GeneChips for barley<br />

University <strong>of</strong><br />

Theme Muehlbauer, G.J., D.F. Garvin, K. Smith, J.<br />

Boddu, and S. Cho<br />

improvement<br />

Minnesota<br />

9:00 – 9:20 Eckstein, P., D. Hay, B. Rossnagel, and G. Molecular characterization <strong>of</strong> barley for variety University <strong>of</strong><br />

Biotech<br />

Oral 1<br />

Scoles<br />

description and identification<br />

Saskatchewan<br />

9:20 – 9:40 Lapitan, N., A.-M. Botha-Oberholster, T.J. Transcriptional pr<strong>of</strong>iling <strong>of</strong> gene expression Colorado State<br />

Biotech<br />

Oral 2<br />

Close, and C. Lawrence<br />

during malting in barley<br />

University<br />

9:40 – 10:00 Break<br />

10:00 – 10:20 Grewal, T.S., B.G. Rossnagel, and G.J. Molecular marker assisted introgression <strong>of</strong> University <strong>of</strong><br />

Biotech Scoles<br />

loose and covered smut resistance into CDC Saskatchewan<br />

Oral 3<br />

McGwire hulless barley<br />

10:20 – 10:40 Madishetty, K., J.T. Svensson, P. Condamine, Coupling expressed sequences and bacterial University <strong>of</strong><br />

Biotech J. Zheng, S. Wanamaker, M.-C. Luo, T. artificial chromosome resources to access <strong>the</strong> California,<br />

Oral 4<br />

Jiang, S. Lonardi, and T.J. Close<br />

barley genome<br />

Riverside<br />

10:40 – 11:00 Kleinh<strong>of</strong>s, A., N. Rostoks, L. Zhang, and B. Analysis <strong>of</strong> barley necrotic mutants in relation Washington<br />

Biotech<br />

Oral 5<br />

Steffenson<br />

to disease resistance/susceptibility<br />

State University<br />

11:20 – 12:10 Session 5 Poster Presentations<br />

Biotech Eckstein, P., D. Hay, B. Rossnagel, and G. A TaqMan® fluorescent reporter probe U <strong>of</strong> Sask.<br />

Poster 1 Scoles<br />

replaces gel electrophoresis for <strong>the</strong> Rpg1<br />

SCAR marker in molecular marker-assisted<br />

selection<br />

Biotech S.E. Ullrich, J.A. Clancy, H. Lee, F. Han, K. Genetic analysis <strong>of</strong> preharvest sprouting in Washington<br />

Poster 2 Matsui, and I.A. del Blanco<br />

barley<br />

State University<br />

Biotech Jha, A.K., L.S. Dahleen, and J.C. Suttle Effects <strong>of</strong> ethylene in barley (Hordeum vulgare NDSU and<br />

Poster 3<br />

L.) tissue culture regeneration<br />

USDA-ARS,<br />

Nor<strong>the</strong>rn Crop<br />

Sci. Lab<br />

Biotech H<strong>of</strong>fman, D., A. Hang, and D. Obert Validation <strong>of</strong> select diastatic power QTL in USDA-ARS,<br />

Poster 4<br />

elite Western U.S. six-rowed spring barley<br />

germplasms<br />

Aberdeen ID<br />

Biotech Nirmala, J., B. Steffenson and A. Kleinh<strong>of</strong>s The barley stem rust resistance gene product Washington<br />

Poster 5<br />

Rpg1 is specifically degraded upon infection<br />

with <strong>the</strong> stem rust fungus Puccinia graminis<br />

f.sp. tritici pathotype MCC<br />

State University<br />

Biotech Maier, C., D. Schmierer, T. Drader, R. Saturation mapping <strong>of</strong> barley chromosome 2H Washington<br />

Poster 6 Horsley, and A. Kleinh<strong>of</strong>s<br />

fusarium head blight resistance QTL<br />

State University<br />

Biotech Drader, T.B., K.A. Johnson, R.S.<br />

Map-based cloning efforts <strong>of</strong> <strong>the</strong> barley spot Washington<br />

Poster 7 Brueggeman, H.-R. Kim, D. Kudrna, R.<br />

Wing, B. Steffeson, and A. Kleinh<strong>of</strong>s<br />

blotch resistance gene Rcs5<br />

State University<br />

Biotech Eudes, F., A. Laroche, M. Frick, J. Geddes A gene tagging system for Hordeum vulgare AAFC,<br />

Poster 8 and L. Robert<br />

Lethbridge<br />

Biotech Pacey-Miller, T., J. White, A. Crawford, P. Unraveling <strong>the</strong> mysteries <strong>of</strong> germination using Grain Foods<br />

Poster 9 Bundock, G. Cordeiro, D. Barbary and SAGE (Serial Analysis <strong>of</strong> Gene Expression) CRC, Sou<strong>the</strong>rn<br />

Robert Henry<br />

Cross Univ.,<br />

Australia<br />

12:10 End conference<br />

12:30 Buses leave for post-conference tour <strong>of</strong> Please pre-register so that lunch can be<br />

research farm<br />

provided. Also please indicate if you require<br />

transportation to <strong>the</strong> farm.<br />

- 13 -


Chair<br />

Ruurd Zijlstra, University <strong>of</strong> Alberta<br />

Session 1: Feed and Food Quality<br />

Monday, July 18, 2005 – a.m.<br />

Session 1 - FEED AND FOOD QUALITY<br />

Presenters<br />

Linda Malcolmson, <strong>Canadian</strong> International Grains Institute<br />

Ruurd Zijlstra, University <strong>of</strong> Alberta<br />

Ian Johnson, University <strong>of</strong> Alberta<br />

Byung-Kee Baik, Washington State University<br />

Brian Rossnagel, Crop Development Centre, University <strong>of</strong> Saskatchewan<br />

- 15 -


Session 1: Feed and Food Quality – Oral presentations<br />

Expanding opportunties for barley food and feed through product innovation<br />

L. Malcolmson, R. Newkirk and G. Carson<br />

<strong>Canadian</strong> International Grains Institute, Winnipeg, Manitoba<br />

<strong>Barley</strong> has a long history <strong>of</strong> use as both human and animal food and is grown in many countries<br />

around <strong>the</strong> world. In Western countries, barley is primarily used for animal feed and for malting<br />

and brewing with very little designated for food use. Over <strong>the</strong> last two decades <strong>the</strong>re have been a<br />

number <strong>of</strong> important developments that have influenced or have <strong>the</strong> potential to influence barley<br />

utilization in food and feed.<br />

Interest in <strong>the</strong> use <strong>of</strong> barley as a food grain has increased primarily because <strong>of</strong> its reported health<br />

benefits. <strong>Barley</strong> is an excellent source <strong>of</strong> β-glucan soluble fibre and contains antioxidants,<br />

vitamins, minerals, and phytonutrients such as phenolics and lignans. These components have<br />

biological activities that can reduce <strong>the</strong> risk <strong>of</strong> coronary heart disease, diabetes and certain<br />

cancers. As a whole grain, barley can also play a role in weight maintenance. One key<br />

development which will have a significant effect on <strong>the</strong> use <strong>of</strong> barley as a food ingredient in<br />

North America is <strong>the</strong> pending FDA health claim for coronary heart disease and β-glucan soluble<br />

fibre from barley.<br />

Ano<strong>the</strong>r important development that has <strong>the</strong> potential to influence <strong>the</strong> use <strong>of</strong> barley in food<br />

applications is <strong>the</strong> development <strong>of</strong> hulless barley cultivars and varieties with low amylose<br />

(waxy), zero amylose and high amylose content. Hulless cultivars permit greater ease in milling<br />

and pearling with enhanced processing yields and have higher levels <strong>of</strong> β-glucan. Waxy cultivars<br />

typically have higher β-glucan levels than non-waxy types. Although high levels <strong>of</strong> β-glucan are<br />

undesirable in animal feed and malting and brewing applications, it can be advantageous in <strong>the</strong><br />

development <strong>of</strong> barley based foods by providing improved functionality and nutritional<br />

properties. Thus, <strong>the</strong> development <strong>of</strong> a wide range <strong>of</strong> barley types allows for targeting specific<br />

barley cultivars to specific end uses.<br />

Application <strong>of</strong> novel technologies to isolate and concentrate β-glucan to maintain molecular<br />

structure and solubility has resulted in commercialization <strong>of</strong> barley β-glucan preparations for use<br />

in <strong>the</strong> food industry. In addition, <strong>the</strong> application <strong>of</strong> infrared technology has shown <strong>the</strong> potential<br />

to yield whole barley food products with unique end-properties.<br />

In terms <strong>of</strong> animal feed, barley has <strong>the</strong> potential to continue to be one <strong>of</strong> <strong>the</strong> preferred cereals in<br />

beef, dairy and swine rations in Western Canada. Until <strong>the</strong> late 1990’s barley was only used to a<br />

limited extent in poultry rations due to <strong>the</strong> negative effects associated with <strong>the</strong> viscous soluble<br />

fibre, β-glucan, on bird performance. However since that time, an endogenous enzyme, βglucanase,<br />

has been developed that effectively eliminates <strong>the</strong> anti-nutritional effects associated<br />

with β-glucan. This enzyme is now commercially available and it is common practice to use<br />

barley in poultry rations when <strong>the</strong> cost is competitive with o<strong>the</strong>r cereals. However, <strong>the</strong> use <strong>of</strong><br />

enzymes to reduce <strong>the</strong> negative impacts <strong>of</strong> <strong>the</strong> soluble fibre in cultivars specifically designed for<br />

food use which contain exceptionally high levels <strong>of</strong> soluble β-glucan may not be sufficient<br />

<strong>the</strong>reby reducing <strong>the</strong> utility <strong>of</strong> this ingredient in poultry diets unless regular types <strong>of</strong> barley are<br />

used.<br />

- 16 -


Session 1: Feed and Food Quality – Oral presentations<br />

One factor that has limited <strong>the</strong> use <strong>of</strong> barley in poultry and some swine rations is <strong>the</strong> high<br />

proportion <strong>of</strong> insoluble fibre from <strong>the</strong> hull attached to <strong>the</strong> seed. As a result, hulless barley<br />

cultivars have <strong>the</strong> potential to markedly increase energy content if used as a feed ingredient.<br />

Although <strong>the</strong> development <strong>of</strong> hulless cultivars could significantly impact <strong>the</strong> utilization <strong>of</strong> barley<br />

in feed rations both domestically and internationally, <strong>the</strong>re have been difficulties in establishing a<br />

market for hulless barley. The primary issue has been <strong>the</strong> inability to obtain a premium for <strong>the</strong><br />

product that <strong>of</strong>fsets <strong>the</strong> reduced yield caused by loss <strong>of</strong> hulls during harvesting. If this issue can<br />

be addressed, hulless barley has <strong>the</strong> potential to develop into an important market in both feed<br />

and food.<br />

Ano<strong>the</strong>r new possibility which has <strong>the</strong> potential to increase <strong>the</strong> use <strong>of</strong> barley in feed applications<br />

is <strong>the</strong> development <strong>of</strong> a new type <strong>of</strong> barley which may reduce phosphorus levels in animal feces.<br />

The majority <strong>of</strong> phosphorus in plants is found in a form that animals are not able to digest. As a<br />

result, <strong>the</strong> diets are supplemented with available inorganic phosphorus and <strong>the</strong> undigested<br />

organic fraction is passed into <strong>the</strong> feces which can result in environmental issues where intensive<br />

livestock production occurs. Although <strong>the</strong>se low phytate cultivars are not currently available on<br />

a commercial basis, if <strong>the</strong>y are released for production, <strong>the</strong>y will likely be an attractive feed<br />

ingredient given <strong>the</strong> pressure to reduce <strong>the</strong> impact <strong>of</strong> livestock production on <strong>the</strong> environment.<br />

Although barley is a very popular ingredient in ruminant rations, <strong>the</strong> starch is susceptible to rapid<br />

fermentation in <strong>the</strong> rumen resulting in digestive disorders if <strong>the</strong> product is not handled correctly.<br />

In addition, rapidly fermented starch can cause depression in milk fat content which is<br />

undesirable given <strong>the</strong> current incentive to increase milk fat content <strong>of</strong> milk. The recent<br />

development <strong>of</strong> <strong>the</strong> barley cultivar Valier shows significantly reduced rates <strong>of</strong> starch<br />

fermentation suggesting a possible improvement in <strong>the</strong> utility <strong>of</strong> barley as a feed ingredient.<br />

<strong>Barley</strong>, like all o<strong>the</strong>r feed ingredients has inherent variability and this affects <strong>the</strong> value and <strong>the</strong><br />

utility <strong>of</strong> <strong>the</strong> product. Prior studies have demonstrated <strong>the</strong> potential to determine nutritional<br />

value <strong>of</strong> barley using Near Infrared Reflectance Spectroscopy (NIRS) but <strong>the</strong> calibrations were<br />

not developed to <strong>the</strong> extent that <strong>the</strong>y could be used commercially. Recently, a consortium <strong>of</strong><br />

researchers and industry partners in Canada have initiated a program to develop a commercially<br />

useful NIRS calibration so <strong>the</strong> nutritional pr<strong>of</strong>ile <strong>of</strong> individual lots <strong>of</strong> barley could be rapidly<br />

established prior to use. Once this calibration is available in approximately 3 years, both <strong>the</strong><br />

producers and <strong>the</strong> end users will have <strong>the</strong> ability to segregate, value and use <strong>the</strong> barley based on<br />

its’ actual value fur<strong>the</strong>r improving <strong>the</strong> utilization and value <strong>of</strong> this important feed grain.<br />

Additionally, this technique has <strong>the</strong> potential to be used to confirm <strong>the</strong> identity <strong>of</strong> varieties <strong>of</strong><br />

grains with unique characteristics increasing <strong>the</strong> likely hood that novel barley will be identifiable<br />

and utilized by <strong>the</strong> feed industry. It is also possible that this initiative will be useful to <strong>the</strong> food<br />

industry to target selected barley qualities to specific end use applications.<br />

Thus, <strong>the</strong> use <strong>of</strong> barley as a food and feed ingredient shows tremendous potential for <strong>the</strong> future.<br />

Development <strong>of</strong> hulless and novel types <strong>of</strong> barley with unique characteristics as well as <strong>the</strong><br />

application <strong>of</strong> novel technologies has and will continue to have a significant effect on <strong>the</strong><br />

expansion <strong>of</strong> barley utilization. Efforts to increase <strong>the</strong> use <strong>of</strong> barley need to continue and success<br />

can be achieved through innovations made at <strong>the</strong> breeding, processing and product development<br />

level.<br />

- 17 -


Session 1: Feed and Food Quality – Oral presentations<br />

Validation <strong>of</strong> an in vitro analysis to determine energy digestibility <strong>of</strong> barley<br />

for grower pigs<br />

R.T. Zijlstra* 1 , W.C. Sauer 1 , J.H. Helm 2 , D.N. Overend 3 , R.W. Newkirk 4<br />

1 University <strong>of</strong> Alberta, Edmonton, AB,<br />

2 Field Crop Development Centre, Lacombe, AB,<br />

3 Ridley Inc, Mankato, MN,<br />

4 <strong>Canadian</strong> International Grains Institute, Winnipeg, MB.<br />

In vitro analyses will be beneficial to characterize <strong>the</strong> existing variation in energy digestibility<br />

within specific feed ingredients such as grains and to develop procedures predicting nutritional<br />

value <strong>of</strong> grains for swine. Analytical procedures have been developed to determine in vitro<br />

energy digestibility and DE content for barley, but have not been validated for <strong>the</strong>ir suitability to<br />

predict in vivo values. First, 21 barley samples with a range in fiber content (5.7 to 12.1% ADF)<br />

and total-tract energy digestibility (51.9 to 78.5%) and DE content in grower pigs were subjected<br />

to an existing in vitro analysis in duplicate (Huang et al. 2003). Briefly, <strong>the</strong> procedure involved<br />

subsequent digestions with pepsin (6 hr), pancreatin (18 hr), and cellulase (24 hr), and DM and<br />

GE analyses <strong>of</strong> <strong>the</strong> barley sample and residue. The in vitro energy digestibility ranged from 63.7<br />

to 82.2% for <strong>the</strong> 21 barley samples and relative errors for samples ranged from 0.2 to 4.8%. In<br />

vitro energy digestibility was strongly related to swine in vivo energy digestibility content<br />

(R 2 =0.81). Second, a subset <strong>of</strong> seven barley samples was subjected to quadruplicate in vitro<br />

analyses. In vitro energy digestibility ranged from 63.5 to 82.8% for <strong>the</strong> seven samples and <strong>the</strong><br />

relative error was 4.2% for <strong>the</strong> barley sample with a low energy digestibility (63.5%) and ranged<br />

from 0.6 to 1.4% for <strong>the</strong> o<strong>the</strong>r six barley samples. For <strong>the</strong> seven barley samples, in vitro energy<br />

digestibility was strongly related to in vivo energy digestibility content (R 2 =0.97). In summary,<br />

with quadruplicate analyses, in vitro energy digestibility was an accurate predictor <strong>of</strong> in vivo<br />

energy digestibility. In vitro energy digestibility can be successful as <strong>the</strong> core analytical<br />

procedure to calibrate rapid analytical equipment to predict energy digestibility and <strong>the</strong>refore DE<br />

content <strong>of</strong> barley for grower pigs.<br />

Key Words: swine, grain, analysis<br />

- 18 -


Session 1: Feed and Food Quality – Oral presentations<br />

Beta-glucan depleted barley and oat flours as animal feed<br />

Ian R. Johnson, Doug R. Korver * , Thava Vasanthan * and Feral Temelli<br />

1 University <strong>of</strong> Alberta, Edmonton, Alberta, Canada<br />

*Corresponding authors<br />

Background<br />

A vital connection exists between <strong>the</strong> crops and livestock components <strong>of</strong> agriculture. In Alberta,<br />

livestock producers select <strong>the</strong>ir grain source for feed based on <strong>the</strong> cost <strong>of</strong> <strong>the</strong> grain and its<br />

method <strong>of</strong> processing, <strong>the</strong> primary goal <strong>of</strong> which is to increase energy availability (Owens et al.<br />

1997). The combination <strong>of</strong> lower price and limitations <strong>of</strong> climate and soil fertility that impede<br />

corn production (Boss & Bowman, 1996) makes barley an economically attractive feed. As a<br />

result, barley is used primarily as an energy and protein source in cattle diets and is one <strong>of</strong> <strong>the</strong><br />

primary feed ingredients used by <strong>the</strong> swine industry. <strong>Barley</strong> varieties are generally plentiful<br />

crops and are <strong>the</strong>refore readily available at a reasonable cost. However, <strong>the</strong>se grains contain<br />

relatively high proportions <strong>of</strong> non-starch polysaccharides (NSPS), especially beta-glucans (~4-<br />

7%), which are known for <strong>the</strong>ir anti-nutritive properties. In poultry, for example, endogenous<br />

enzymes have a limited ability to digest non-starch polysaccharides. Thus <strong>the</strong>ir content and<br />

composition in <strong>the</strong> diet can impart significant differences in biological responses and thus<br />

influence poultry productivity (Campbell et al. 1989). To control this anti-nutritive effect,<br />

enzymes that hydrolyze non-starch polysaccharides are <strong>of</strong>ten added to feeds and thus enhance<br />

<strong>the</strong> overall digestibility. Livestock producers generally select varieties low in beta-glucans in an<br />

attempt to control for <strong>the</strong>se anti-nutritive properties.<br />

A novel grain fractionation technology has been developed at <strong>the</strong> Dept. <strong>of</strong> Agricultural, Food and<br />

Nutritional Science, University <strong>of</strong> Alberta to isolate/concentrate beta-glucan from oat and barley<br />

grains in a cost-efficient manner. The technology is patented and now licensed to Cevena<br />

Bioproducts Inc., Edmonton, Alberta. Flours produced from <strong>the</strong>se grains undergo alcohol based<br />

enzymatic process for beta-glucan isolation/concentration. The beta-glucan concentrate<br />

(Visc<strong>of</strong>iber ® ) is now commercially available for use in functional food and dietary supplements<br />

due to its valuable physiological properties (For more information go to: www.cevena.com).<br />

Two major byproducts <strong>of</strong> <strong>the</strong> process are crude starch and a blend <strong>of</strong> hydrolyzed starch and<br />

protein mixture. These components are <strong>the</strong> most valuable by-products <strong>of</strong> <strong>the</strong> technology and<br />

comprise <strong>the</strong> largest volume (~80% and ~5%, w/w, respectively) <strong>of</strong> <strong>the</strong> raw material weight.<br />

While, whole or minimally processed (i.e. flaked) barley and oat grains have been traditionally<br />

used in animal feeds, <strong>the</strong> nutritional value <strong>of</strong> <strong>the</strong> aforementioned by-products that are depleted in<br />

anti-nutritional factors (i.e. beta-glucan) is not known.<br />

Overall Goals and Objectives<br />

The overall goal <strong>of</strong> this research project is to evaluate <strong>the</strong> potential <strong>of</strong> beta-glucan depleted<br />

barley/oat flour (i.e. crude starch) for use in <strong>the</strong> diets <strong>of</strong> livestock animals in order to determine<br />

<strong>the</strong>ir digestible nutrient content and optimal level <strong>of</strong> inclusion and <strong>the</strong>reby to provide evidence<br />

for inclusion <strong>of</strong> <strong>the</strong>se byproducts in livestock production. Diets formulated with <strong>the</strong>se ingredients<br />

will be compared to commercial feeds. Development <strong>of</strong> novel applications for <strong>the</strong>se by-products<br />

- 19 -


Session 1: Feed and Food Quality – Oral presentations<br />

is important to ensure that <strong>the</strong> grains are completely utilized and this is critical for <strong>the</strong> overall<br />

commercial success <strong>of</strong> this technology. Fur<strong>the</strong>rmore, since barley and oats are established natural<br />

feed crops, utilization <strong>of</strong> <strong>the</strong> aforementioned byproducts in feeds would be safe and would not<br />

pose any threat to food security. It is also important to note that this research has potential to<br />

doubly benefit <strong>the</strong> agriculture industry, not only by enhancing cereal production and processing,<br />

but also by improving livestock production.<br />

Evaluation <strong>of</strong> <strong>the</strong> use <strong>of</strong> beta-glucan depleted barley/oat flour as natural feed ingredient in<br />

young Holstein calves<br />

The objective <strong>of</strong> <strong>the</strong> first trial conducted in young Holstein calves was to compare <strong>the</strong> nutritional<br />

value <strong>of</strong> barley and oat starch isolate by-products to a commercial calf grower diet. Calves<br />

(n=27, approximately 2-4 months <strong>of</strong> age, average initial weight: 110 kg ± 3) were randomly<br />

allocated to one <strong>of</strong> three treatment diets (3 calves/diet/pen) and fed ad libitum using Cailan gates.<br />

Three diets were formulated as specified by <strong>the</strong> National Research Council (NRC 2000) and<br />

contained 25% oat starch (oat starch diet) and 25% barley starch (barley starch diet). In order to<br />

allow an appropriate comparison between <strong>the</strong> commercial and starch test diets, all diets were<br />

made isonitrogenous (18% crude protein) and similar in energy content (MCal; Standard – 1.21,<br />

Oat – 1.33, <strong>Barley</strong> – 1.33), which was verified by proximate analysis. Following feed<br />

acclimatization and training on <strong>the</strong> Cailan gate system (approx. 3 weeks), calves were healthy,<br />

consumed adequate feed and grew well for <strong>the</strong> remainder <strong>of</strong> <strong>the</strong> trial. On average, calves<br />

supplemented for five weeks gained 52 ± 1 kg and had an average final BW <strong>of</strong> 189 ± 4 kg. Feed<br />

intake (FI) averaged 4.95 ± 0.20 kg/d. Despite initial concerns that <strong>the</strong> high amount <strong>of</strong> starch in<br />

<strong>the</strong> oat and barley diets would influence calf feed intake, and thus performance, <strong>the</strong>re was no<br />

significant effect <strong>of</strong> diet on any <strong>of</strong> <strong>the</strong> recorded performance measures in this study (Table 1). A<br />

sub-group <strong>of</strong> calves that were fed Chromium-mordanted fiber underwent periodic feces<br />

collection (4 hours for two days, <strong>the</strong>n at 54, 60, 72 and 96 hours). The appearance <strong>of</strong> Chromium<br />

in feces, and thus <strong>the</strong> rate <strong>of</strong> passage <strong>of</strong> each diet was similar, peaking between 16 and 36 hours<br />

and reaching negligible levels by 96 hours. Therefore, based on <strong>the</strong> results from this initial study,<br />

a high proportion (up to 25%) <strong>of</strong> both oat- and barley-derived starch products can be included in<br />

<strong>the</strong> diets <strong>of</strong> young calves as an ideal energy source.<br />

Table 1. Body weight and feed intake <strong>of</strong> calves<br />

Dietary Group Standard (g/kg) Oat Crude Starch <strong>Barley</strong> Crude Starch<br />

(g/kg)<br />

(g/kg)<br />

Initial BW, g 136 ± 7 12<br />

136 ± 5 138 ± 6<br />

Final BW, g 192 ± 8 187 ± 7 190 ± 7<br />

Average Gain, g 56 ± 2 50 ± 3 51 ± 2<br />

Average FI, g/d 5.0 ± 0.53 5.1 ± 0.28 4.7 ± 0.13<br />

1<br />

Values presented as mean ± SEM.<br />

2<br />

There were no significant differences (p


Session 1: Feed and Food Quality – Oral presentations<br />

Evaluation <strong>of</strong> <strong>the</strong> use <strong>of</strong> beta-glucan-depleted barley and oat flour as a natural ingredient for<br />

chickens<br />

The objective <strong>of</strong> this trial was to evaluate <strong>the</strong> digestible nutrient content <strong>of</strong> beta-glucan depleted<br />

barley flour (i.e. crude starch) in <strong>the</strong> diets <strong>of</strong> broiler chickens. Since <strong>the</strong> endogenous enzymes <strong>of</strong><br />

poultry cannot digest non-starch polysaccharides, <strong>the</strong> ability <strong>of</strong> enzyme (Avizyme ® 1102;<br />

Danisco Animal Nutrition) to hydrolyze beta-glucans and thus enhance <strong>the</strong> overall digestibility<br />

was also examined in this study. Broiler chickens were fed isonitrogenous, isoenergetic diets<br />

between 0 and 42 d <strong>of</strong> age. For each growth period (starter 0-10 d, grower 11-28 d and finisher<br />

29-42 d), a total <strong>of</strong> 5 diets were formulated according to NRC requirements (NRC 1994), which<br />

was confirmed by proximate analysis. Diets included a corn basal diet (#1), a barley flour based<br />

diet with (#2) and without (#3) added enzyme, and a barley crude starch-based diet with (#4) and<br />

without (#5) added enzyme. The major ingredient (i.e. barley flour, crude starch, etc) in each diet<br />

made up approximately 50% <strong>of</strong> <strong>the</strong> total diet. Chicks (n=602) were obtained at 1 d <strong>of</strong> age (initial<br />

weight: 44.3 g) and randomly assigned to 1 <strong>of</strong> 72 pens (8 pens/treatment). Body weight was<br />

measured on days 0, 10, 28 and 42. Average daily gain, feed intake and feed conversion<br />

efficiency were also determined between 0-10, 11-28 and 29-42 days.<br />

Results <strong>of</strong> <strong>the</strong> study (Table 2) revealed that chickens consuming corn-based diets had a<br />

significantly higher average body weight, average daily gain and feed intake throughout <strong>the</strong><br />

course <strong>of</strong> <strong>the</strong> trial. In contrast, with <strong>the</strong> exception <strong>of</strong> initial values, birds consuming barley flourbased<br />

diet had <strong>the</strong> lowest average body weight compared to all o<strong>the</strong>r dietary treatments. <strong>Barley</strong>fed<br />

chickens had lower average daily gain, but higher feed conversion efficiency for <strong>the</strong> duration<br />

<strong>of</strong> <strong>the</strong> trial, which was also reflected at all time points. However, addition <strong>of</strong> enzyme to barley<br />

diets significantly improved average body weight and average daily gain at all time points.<br />

Chickens fed with barley crude starch diets were found to have many similar performance<br />

parameters to those chickens fed with enzyme-supplemented barley diets.<br />

The poor performance <strong>of</strong> barley flour-fed chickens may be attributed to <strong>the</strong> high viscosity and<br />

texture <strong>of</strong> diets containing barley. The high beta-glucan content <strong>of</strong> barley flour would have<br />

substantially increased intestinal viscosity and may have interfered with digestion. In addition,<br />

beta-glucan has satiety factors, which may have influenced <strong>the</strong> amount <strong>of</strong> feed that chickens in<br />

this group were compelled to consume. Alternatively, barley-containing diets had a tendency to<br />

stick toge<strong>the</strong>r within feeders, which may have interfered with <strong>the</strong> birds’ consumption ability (i.e.<br />

feed intake). Therefore, an alternate type <strong>of</strong> feed processing, such as pelleting, may have<br />

minimized some <strong>of</strong> <strong>the</strong> observed problems in feed handing and feed flow and may improve feed<br />

intake. Since feed conversion efficiency was highest in barley-fed chickens, an improvement in<br />

feed intake would likely cause increased weight gain. It should also be noted that high inclusion<br />

levels (~50%) <strong>of</strong> <strong>the</strong> major ingredient were used in this study. Future studies are warranted to<br />

determine if performance would differ with different levels <strong>of</strong> inclusion. Results <strong>of</strong> this trial<br />

confirmed <strong>the</strong> ability <strong>of</strong> enzyme supplementation to enhance digestibility, a trend most<br />

pronounced in chickens fed barley-based diets. In addition to hydrolyzing non-starch<br />

polysaccharides, <strong>the</strong> enzyme used in this study would have also decreased intestinal viscosity.<br />

This would explain <strong>the</strong> observed increased performance <strong>of</strong> chicks fed barley-based diets with<br />

enzyme. It is important to highlight <strong>the</strong> fact that chickens fed with barley crude starch diets had<br />

generally equal performance to enzyme-supplemented broilers. This finding reinforces <strong>the</strong> great<br />

- 21 -


Session 1: Feed and Food Quality – Oral presentations<br />

potential <strong>of</strong> this byproduct in livestock formulations to cut down on costs incurred from enzyme<br />

supplementation, without suffering any detriment to broiler performance.<br />

Table 2. Performance measures <strong>of</strong> chickens fed diets differing in major grain<br />

Ingredient 1<br />

#1 – Corn #2 – <strong>Barley</strong><br />

flour<br />

#3 – <strong>Barley</strong><br />

flour + enzyme<br />

#4 - <strong>Barley</strong><br />

Crude Starch<br />

#5 - <strong>Barley</strong><br />

Crude Starch +<br />

enzyme<br />

ABW 1 (g)<br />

D0 43.8 2 ± 0.44 44.5 ± 0.48 44.7 ± 0.39 44.7 ± 0.40 44.3 ± 0.48<br />

D10 231.5 ± 5.43 a3<br />

147.2 ± 3.98 d<br />

176.3 ± 5.50 c<br />

202.3 ± 8.01 b<br />

186.3 ± 3.32 c<br />

D28 1110.3 ± 33.53 a<br />

650.6 ± 26.33 c<br />

794.3 ± 26.04 b<br />

825.2 ± 31.93 b<br />

850.5 ± 18.44 b<br />

D42 2394.2 ± 33.70 a<br />

1369.9 ± 46.86 c<br />

1709.1 ± 64.02 b<br />

1714.5 ± 50.50 b<br />

1809.8 ± 73.11 b<br />

ADG 4 (g/d)<br />

D0-10 19.7 ± 0.54 a<br />

10.8 ± 0.38 d<br />

13.6 ± 0.59 c<br />

16.4 ± 0.80 b<br />

14.8 ± 0.30 c<br />

D11-28 51.7 ± 1.89 a<br />

29.6 ± 1.34 c<br />

36.3 ± 1.35 b<br />

36.4 ± 1.88 b<br />

38.0 ± 1.16 b<br />

D29-42 99.9 ± 2.16 a<br />

55.8 ± 2.21 c<br />

67.4 ± 3.22 b<br />

69.9 ± 2.33 b<br />

72.7 ± 4.56 b<br />

D1-42 54.8 ± 0.65 a<br />

30.7 ± 0.99 c<br />

37.5 ± 1.68 b<br />

39.1 ± 1.17 b<br />

38.6 ± 1.34 b<br />

FI 5 (g/bird/d)<br />

D0-10 25.0 ± 0.47 a<br />

20.8 ± 0.84 b<br />

22.0 ± 0.96 b<br />

22.0 ± 1.22 b<br />

21.4 ± 0.33 b<br />

D11-28 83.3 ± 2.66 81.6 ± 4.93 79.3 ± 3.70 75.9 ± 1.67 84.5 ± 3.00<br />

D29-42 173.3 ± 3.87 a<br />

134.5 ± 10.61 b<br />

137.9 ± 8.24 b<br />

129.3 ± 3.89 c<br />

152.5 ± 9.92 a<br />

D1-42 89.7 ± 1.02 a<br />

76.6 ± 4.16 b<br />

76.4 ± 3.48 b<br />

73.4 ± 0.81 b<br />

79.5 ± 2.33 b<br />

FCE 6<br />

D0-10 1.27 ± 0.03 d<br />

D11-28 1.61 ± 0.03 c<br />

D29-42 1.74 ± 0.02 b<br />

D1-42 1.64 ± 0.01 c<br />

1.94 ± 0.12 a<br />

2.79 ± 0.19 a<br />

2.40 ± 0.12 a<br />

2.50 ± 0.12 a<br />

1.62 ± 0.07 b<br />

2.18 ± 0.07 b<br />

2.08 ± 0.15 ab<br />

2.05 ± 0.08 b<br />

1 Average Body Weight<br />

2 Values presented as mean ± SEM<br />

3 Within a row, means without a common superscript letter differ (P < 0.05)<br />

4 Average Daily Gain<br />

5 Feed Intake<br />

6 Feed Conversion Efficiency<br />

Future Direction and Conclusion<br />

1.36 ± 0.08 cd<br />

2.13 ± 0.13 b<br />

1.86 ± 0.07 b<br />

1.89 ± 0.06 b<br />

1.46 ± 0.05 bc<br />

2.24 ± 0.11 b<br />

2.12 ± 0.10 ab<br />

2.07 ± 0.07 b<br />

At this stage <strong>of</strong> <strong>the</strong> research project, <strong>the</strong> nutritional value <strong>of</strong> barley crude starch diets has been<br />

determined in young calves and <strong>the</strong> digestible nutrient content has been determined in broilers.<br />

The next phase <strong>of</strong> <strong>the</strong> research project is on <strong>the</strong> verge <strong>of</strong> beginning. The objective <strong>of</strong> this trial is<br />

to relatively evaluate <strong>the</strong> digestible nutrient content <strong>of</strong> barley crude starch in growing pigs.<br />

Digestibility will be assessed by fitting 8 pigs with ileal T-cannulas, followed by collection <strong>of</strong><br />

ileal digesta samples. Results from this trial will be compared to <strong>the</strong> previous study in poultry, as<br />

digestibility <strong>of</strong> <strong>the</strong>se products is expected to differ. Once <strong>the</strong> digestible nutrient content <strong>of</strong> <strong>the</strong>se<br />

products has been determined, it will be possible to proceed with more detailed studies. These<br />

will include livestock production trials that will utilize <strong>the</strong>se products in nutritionally complete<br />

diets that have also been formulated from an economical perspective, thus allowing <strong>the</strong>se diets to<br />

- 22 -


Session 1: Feed and Food Quality – Oral presentations<br />

be manufactured and purchased at a reasonable cost. There are also trials being planned to extend<br />

<strong>the</strong> results <strong>of</strong> previous studies and answer some <strong>of</strong> <strong>the</strong> questions <strong>the</strong>se trials have presented. It is<br />

still unclear if <strong>the</strong> texture and form <strong>of</strong> <strong>the</strong> diets may have influenced <strong>the</strong> results <strong>of</strong> this pilot<br />

study. It would be necessary to evaluate if chickens would respond differently, especially in<br />

terms <strong>of</strong> feed intake and weight gain, to a product that undergoes cold pelleting and <strong>the</strong>n<br />

crumbling. An additional component <strong>of</strong> this feed research project currently being planned is <strong>the</strong><br />

use <strong>of</strong> <strong>the</strong> high-quality hydrolyzed protein and starch blend from oat and barley that are produced<br />

along with <strong>the</strong> crude starch products. In conclusion, studies conducted thus far indicate that<br />

barley- and oat-derived products have great potential as valuable and cost effective feed<br />

ingredients.<br />

References<br />

1) Boss, D.L., and Bowman, J.G.P. 1996. <strong>Barley</strong> varieties for finishing steers: I. Feedlot<br />

performance, in vivo diet digestion, and carcass characteristics. J. Anim. Sci. 74(8): 1967.<br />

2) Campbell, G.L., Rossnagel, B.G., Classen, H.L., and Thacker, P.A. 1989. Genotypic and<br />

environmental differences in extract viscosity <strong>of</strong> barley and <strong>the</strong>ir relationship to its nutritive<br />

value for broiler chickens. Ani. Feed Sci. Tech. 226: 221.<br />

3) NRC. 1994. Nutrient Requirements <strong>of</strong> Poultry (9 th Ed.). Subcom. Poultry Nutr., Comm<br />

Anim. Nutr., Board Agric., NRC. Nat. Acad. Press, Wash. pp 157.<br />

4) NRC. 2000. Nutrient Requirements <strong>of</strong> Beef Cattle (7 th Ed. update). Subcom. Beef Cattle<br />

Nutr., Comm. Anim. Nutr., Board Agric., NRC. Nat. Acad. Press, Wash. pp 224.<br />

5) Owens, F.N., Secrist, D.S., Hill, W.J., and Gill, D.R. 1997. The effect <strong>of</strong> grain source and<br />

grain processing on performance <strong>of</strong> feedlot cattle: a review. J. Anim. Sci. 75(3): 868.<br />

- 23 -


Session 1: Feed and Food Quality – Oral presentations<br />

Improvement <strong>of</strong> barley-based food product color<br />

B.-K. Baik 1 , Z. Quinde 2 , and S. E. Ullrich 1<br />

1 Assistant Pr<strong>of</strong>essor and Pr<strong>of</strong>essor, respectively, Department <strong>of</strong> Crop and Soil Sciences;<br />

2 Graduate research assistant, Department <strong>of</strong> Food Science & Human Nutrition, Washington State University, Pullman, WA<br />

99164-6420<br />

Color is one <strong>of</strong> <strong>the</strong> most important sensory attributes <strong>of</strong> food products. A food product with <strong>the</strong><br />

unacceptable color is not likely to be chosen and eaten by consumers, even it is highly nutritious,<br />

flavorful and well texture. While acceptable color <strong>of</strong> a food varies depending on cultural,<br />

geographic and sociological aspects <strong>of</strong> a given population, certain food groups are acceptable<br />

only if <strong>the</strong>y fall within a certain color range. Also, in many cases quality and value <strong>of</strong> raw<br />

materials are judged by <strong>the</strong>ir color.<br />

White color <strong>of</strong> flours from cereal grain is generally preferred to dark color. Moreover, most <strong>of</strong><br />

<strong>the</strong> food products prepared from cereal grains should be <strong>of</strong> bright light color to command high<br />

quality. Dark discoloration <strong>of</strong> abraded barley kernels when used as a rice extender, in soups or<br />

in preparation <strong>of</strong> baby foods has been a serious concern <strong>of</strong> food industries and a significant factor<br />

preventing use <strong>of</strong> barley in food formulation.<br />

<strong>Barley</strong> grains contain numerous polyphenols, proanthocyanidins and catechins, which are<br />

distributed in <strong>the</strong> hull, seed coat and aleurone layer. Total polyphenol content <strong>of</strong> barley,<br />

expressed as gallic acid, ranges from 0.2 to 0.4% <strong>of</strong> grain (Bendelow and LaBerge 1979). PPO<br />

has high activity in raw barley (Clarkson et al 1992). The role <strong>of</strong> polyphenols in brewing,<br />

especially <strong>the</strong>ir implication in haze formation in beer, was reviewed by Gardner and McGuinness<br />

(1977). However, <strong>the</strong> relationship between polyphenols and discoloration <strong>of</strong> food products<br />

prepared from barley, and <strong>the</strong> role <strong>of</strong> PPO on discoloration <strong>of</strong> barley based products has not been<br />

investigated, mainly due to <strong>the</strong> insignificance <strong>of</strong> barley as a food.<br />

<strong>Barley</strong> is increasingly incorporated into <strong>the</strong> human diet, because <strong>of</strong> human health benefits, easy<br />

availability and inexpensive price. To maintain or even increase consumer’s interest in barley<br />

foods, and to improve <strong>the</strong> willingness <strong>of</strong> food processors to use barley in food product<br />

formulations, it is crucial to control discoloration <strong>of</strong> barley-based food products. Discoloration <strong>of</strong><br />

barley-based food products may be controlled by <strong>the</strong> proper selection <strong>of</strong> raw materials,<br />

appropriate processing and use <strong>of</strong> chemicals. We explored <strong>the</strong> grain components responsible for<br />

<strong>the</strong> barley food product discoloration, genotypic variation in discoloration as well as phenolics<br />

content and PPO activity, and environment effects on <strong>the</strong> grain components responsible for<br />

discoloration <strong>of</strong> barley food products.<br />

Total polyphenol content and PPO activity<br />

Total polyphenol content <strong>of</strong> abraded barley kernels was lowest in hulled proanthocyanidin-free<br />

barley, ranging from 0.02 to 0.04% (Table I). Hulled proanthocyanidin-containing abraded<br />

barley had lower total polyphenol content (0.11-0.18%) than hulless abraded barley (0.19-<br />

0.26%). Although proanthocyanidin-containing barleys were abraded by 30% for hulled and<br />

15% for hulless genotypes, abrasion does not necessarily remove <strong>the</strong> same layers or components<br />

- 24 -


Session 1: Feed and Food Quality – Oral presentations<br />

<strong>of</strong> <strong>the</strong> kernel because <strong>of</strong> differences in thickness <strong>of</strong> outer layers, kernel size and shape among<br />

genotypes.<br />

PPO activity <strong>of</strong> abraded barley grains varied among genotypes, while differences in PPO activity<br />

between barley classes were not evident. PPO activity <strong>of</strong> abraded barley grains ranged from 62.2<br />

to 116.5 units/g in hulled barley and from 63.1 to 106.6 in hulless barley genotypes.<br />

Table I. Total Polyphenol Content and PPO Activity <strong>of</strong> Abraded Grains <strong>of</strong> Different <strong>Barley</strong><br />

Genotypes<br />

<strong>Barley</strong> Class<br />

Hulled<br />

Protein (%) Ash (%) Total Polyphenol<br />

(gallic acid %)<br />

PPO Activity<br />

(units/g)<br />

PA + (n=10) 8.0-11.1 0.74-0.96 0.11-0.18 62.2-94.7<br />

PA - (n=4) 8.8-10.1 0.84-0.99 0.02-0.04 84.1-116.5<br />

Hulless<br />

Regular (n=5)<br />

Waxy (n=3)<br />

10.4-15.0<br />

11.7-13.1<br />

0.85-1.16<br />

0.99-1.15<br />

0.22-0.26<br />

0.19-0.21<br />

PA +: proanthocyanidin-containing; PA -: proanthocyanidin-free.<br />

Brightness <strong>of</strong> barley dough sheets<br />

63.1-106.6<br />

68.7-79.9<br />

The L* values <strong>of</strong> barley flour dough sheets measured over time are summarized in Table II.<br />

Immediately after preparation, L* value <strong>of</strong> dough sheets exhibited relatively small differences<br />

between classes and genotypes <strong>of</strong> barley. The rate <strong>of</strong> L* value decrease during storage was<br />

highest in hulless barley genotypes, lower in hulled proanthocyanidin-containing and lowest in<br />

hulled proanthocyanidin-free genotypes. Accordingly, differences in L* values <strong>of</strong> <strong>the</strong> dough<br />

sheets among barley classes and individual genotypes were much more evident at 24 hr after<br />

preparation than immediately after preparation. Hulled proanthocyanidin-free barley exhibited<br />

<strong>the</strong> highest L* values (72.2-78.1), followed by hulled proanthocyanidin-containing barley (65.3-<br />

69.6) and hulless barley (59.0-63.9). There were also large variations in L* values among<br />

genotypes <strong>of</strong> <strong>the</strong> same barley class, indicating <strong>the</strong> complexity <strong>of</strong> discoloration in processed<br />

barley.<br />

Table II. Brightness (L*) <strong>of</strong> Dough Sheets Prepared from <strong>Barley</strong> Flours<br />

<strong>Barley</strong> Class<br />

Hulled<br />

0 Hr<br />

Brightness (L*)<br />

24 Hr<br />

PA + (n=10)<br />

78.0-80.9<br />

65.3-69.6<br />

PA - (n=4)<br />

79.8-82.6<br />

72.2-78.1<br />

Hulless<br />

Regular (n=5)<br />

74.3-79.3<br />

Waxy (n=3)<br />

75.4-77.7<br />

PA +: proanthocyanidin-containing; PA -: proanthocyanidin-free.<br />

- 25 -<br />

59.7-63.9<br />

59.0-61.1


Session 1: Feed and Food Quality – Oral presentations<br />

Relationships between composition and discoloration potential <strong>of</strong> barley<br />

Correlation analyses between <strong>the</strong> composition <strong>of</strong> barley kernels and L* values <strong>of</strong> dough sheets<br />

are summarized in Table III. Total polyphenol content significantly correlated with <strong>the</strong> L* values<br />

<strong>of</strong> dough sheets. A large variation in L* values <strong>of</strong> dough sheets among barley genotypes <strong>of</strong><br />

similar total polyphenol content (Table I) may indicate that, in addition to polyphenols, o<strong>the</strong>r<br />

factors, including PPO activity and metal ions, may contribute to <strong>the</strong> discoloration <strong>of</strong> dough<br />

sheets.<br />

Relationships between PPO activity and L* values <strong>of</strong> dough sheets were not significant.<br />

However, protein content and ash content exhibited significant negative correlations with L*<br />

values <strong>of</strong> barley dough sheets in barley genotypes. Protein content may be correlated with an<br />

unknown component that affects hardness or <strong>the</strong> rate <strong>of</strong> water binding during dough processing.<br />

Highly negative correlation between wheat ash content and spaghetti brightness was also<br />

reported by Matsuo et al (1982).<br />

Table III. Simple Pearson Coefficients (r) a Between Composition and Brightness <strong>of</strong> <strong>Barley</strong><br />

Flour Dough<br />

Composition Brightness <strong>of</strong> Dough (L*)<br />

Total Polyphenols<br />

Polyphenol Oxidase Activity<br />

Protein<br />

Ash<br />

-0.910***<br />

0.270<br />

-0.714**<br />

-0.469*<br />

a *, **, *** = significant at P < 0.05, P < 0.01, P < 0.001, respectively.<br />

Genotypic and environmental effects on discoloration potential <strong>of</strong> barley<br />

Twelve genotypes <strong>of</strong> barley grown in five environments (location-year combination) were<br />

analyzed to determine <strong>the</strong> relative contribution <strong>of</strong> genotype and environment on quality traits<br />

associated with discoloration potential <strong>of</strong> barley. Both genotype (G) and environment (E)<br />

contributed to significant variation for protein, ash, total polyphenol content, PPO activity and<br />

brightness <strong>of</strong> dough sheets (Table IV). G × E interactions were also significant for all<br />

parameters. Analysis <strong>of</strong> pr<strong>of</strong>ile plots for all parameters with significant G × E interactions<br />

indicated that total polyphenol content, PPO activity and brightness <strong>of</strong> dough sheets had noncrossover<br />

interactions (Figure 1). Non-crossover interaction indicated that <strong>the</strong> rank <strong>of</strong> <strong>the</strong> means<br />

for genotypes was unchanged although <strong>the</strong> magnitude <strong>of</strong> <strong>the</strong> differences between genotypes<br />

changed among environments.<br />

The ratios <strong>of</strong> genetic to environmental (G/E) variances showed that genetic factors had a larger<br />

influence than environmental factors on total polyphenol content, PPO activity and brightness <strong>of</strong><br />

dough sheets (Table V). G/E variance ratios were similar in magnitude and nearly evenly<br />

balanced for protein and ash content. These results indicate that genetic factors were more<br />

important than environmental factors or G × E interactions in determining total polyphenol<br />

content, PPO activity and brightness <strong>of</strong> dough. Therefore, <strong>the</strong> selection <strong>of</strong> barley genotypes<br />

during <strong>the</strong> breeding process based on polyphenol content and PPO activity as well as dough<br />

brightness, could be <strong>the</strong> effective way to control discoloration <strong>of</strong> barley-based food products.<br />

- 26 -


Total Polyphenol (gallic acid, %<br />

0. 4<br />

0. 3<br />

0. 2<br />

0. 1<br />

0<br />

A<br />

Pul 1 Pul 2 RS 1 RS 2 Rit 2<br />

Session 1: Feed and Food Quality – Oral presentations<br />

Waxy Regular PA + PA - )<br />

PPO Activity (units/g<br />

Flour Dough Brightness (L*)<br />

- 27 -<br />

250<br />

200<br />

150<br />

100<br />

50<br />

0<br />

85<br />

80<br />

75<br />

70<br />

65<br />

60<br />

55<br />

B<br />

C<br />

Pul 1 Pul 2 RS 1 RS 2 Rit 2<br />

Pul 1 Pul 2 RS 1 RS 2 Rit 2<br />

Figure 1. Genotype (G) x environment (E) effect on (A) total polyphenol content, (B) polyphenol oxidase (PPO)<br />

activity and (C) flour dough brightness (L*) <strong>of</strong> barley grown in 2001 and 2002 in three locations. PA + =<br />

proanthocyanidin-containing; PA - = proanthocyanidin-free; Pul 1 = Pullman 2001; Pul 2 = Pullman 2002; RS 1 =<br />

Royal Slope 1; RS 2 = Royal Slope 2; and Rit 2 = Ritzville 2002.


Session 1: Feed and Food Quality – Oral presentations<br />

Table IV. Mean Squares for <strong>the</strong> ANOVA <strong>of</strong> Chemical Composition and Discoloration Potential<br />

<strong>of</strong> Abraded <strong>Barley</strong> a<br />

Source <strong>of</strong><br />

Variation<br />

df<br />

Chemical Composition<br />

Total<br />

Protein Ash<br />

Polyphenol<br />

Genotype (G) 11 16.2*** 0.20*** 0.049***<br />

Environment (E) 4 40.9*** 0.39*** 0.016***<br />

G × E<br />

44 0.7** 0.01*** 0.001***<br />

a<br />

** and *** = P


Session 1: Feed and Food Quality – Oral presentations<br />

Food barley development at <strong>the</strong> Crop Development Centre, University <strong>of</strong><br />

Saskatchewan<br />

B.G.Rossnagel, T. Zatorski and G. Arganosa<br />

Crop Development Centre/Plant Sciences Department, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon SK S7N 5A8<br />

Food barley development at <strong>the</strong> Crop Development Centre (CDC), University <strong>of</strong> Saskatchewan<br />

grew out <strong>of</strong> <strong>the</strong> longstanding hulless barley development program at <strong>the</strong> CDC. The food barley<br />

sub-project was initially based on crosses made in <strong>the</strong> mid-1970’s with <strong>the</strong> 95% amylopectin<br />

starch genotype “waxy Betzes” from Montana State University. These crosses, aimed at<br />

producing hulless waxy barley, had been made with <strong>the</strong> original intent to produce barley<br />

varieties that could be used to provide waxy starch for use in <strong>the</strong> solution mining system<br />

employed in several Saskatchewan potash mines. While this utility has not come to pass to date,<br />

<strong>the</strong> material provided an excellent base from which our food barley R&D efforts have developed.<br />

Because <strong>of</strong> our joint program efforts on oat R&D, our resultant interaction with <strong>the</strong> oat food<br />

industry, <strong>the</strong>ir keen interest in beta glucan and soluble dietary fibre in <strong>the</strong> 1980’s and our<br />

knowledge <strong>of</strong> <strong>the</strong> tremendous variability in beta glucan content in barley germplasm, especially<br />

in <strong>the</strong> waxy starch type, we were able to foresee a possible increased opportunity for barley in<br />

<strong>the</strong> food industry and embarked upon specific food hulless barley development. Thanks to<br />

support from <strong>the</strong> Saskatchewan Agriculture Development Fund and <strong>the</strong> Alberta Wheat Pool,<br />

Agricore and now Agricore United we have been able to make good progress.<br />

Selection for <strong>the</strong> waxy type has and is still conducted first by visual inspection <strong>of</strong> lines from<br />

crosses between waxy starch and normal parents to select <strong>the</strong> waxy segregates. In hulless<br />

material this is actually quite easy as <strong>the</strong> waxy segregates have a much lighter grain colour and,<br />

if in doubt, one can cut through <strong>the</strong> kernel to see if <strong>the</strong> endosperm is floury. Initial chemical<br />

selection was based largely on analysis <strong>of</strong> acid extract viscosity (AEV) as we did not have<br />

affordable access to equipment to analyze large numbers <strong>of</strong> samples for beta glucan (BG). The<br />

strong positive correlation between AEV and BG in waxy starch material allowed reasonable<br />

success with this crude screening technique.<br />

However, it is desirable to screen for both BG and AEV in order to develop a diverse selection <strong>of</strong><br />

high BG varieties with variable AEV for different end-users. Therefore, more recently <strong>the</strong> CDC<br />

program annually screens a significant number <strong>of</strong> samples for both BG concentration and AEV.<br />

BG is determined by Flow Injection Analysis (Aastrup, S. and Jorgensen, K.G., 1988) using a<br />

Fiatron Flow Injection analyzer, Oconomowoc, WI and AEV (Greenberg, D.C. and Whitmore,<br />

E.T. 1974) is determined using a Brookfield Digital Viscometer Model DV-II. We strongly<br />

believe our combined selection for high BG and high AEV is a major reason for <strong>the</strong> repeated<br />

desirability <strong>of</strong> our materials in various evaluations for food and industrial purposes.<br />

While initially working mainly with <strong>the</strong> 95% amylopectin waxy starch types <strong>the</strong> program works<br />

on 100% amylopectin starch types (pioneered at <strong>the</strong> CDC), has an effort dedicated to<br />

improvement <strong>of</strong> high amylose (approx 40%) hulless types and has hulless compound granule or<br />

fractured starch types under evaluation and development.<br />

- 29 -


Session 1: Feed and Food Quality – Oral presentations<br />

As indicated earlier, <strong>the</strong> 95% amylopectin waxy type is based on using “waxy Betzes” as <strong>the</strong><br />

original donor parent. Success to date in <strong>the</strong> program has been demonstrated by <strong>the</strong> release <strong>of</strong><br />

CDC Candle (1995) and CDC Rattan (2003). CDC Candle normally demonstrates BG<br />

concentration <strong>of</strong> 6.5% – 7.0 % and has relatively high AEV. CDC Rattan shows a 0.8 %<br />

improvement in BG with similar moderately high AEV (Table 1), and is much improved<br />

agronomically being higher yielding, stronger strawed and demonstrating improved threshability<br />

at harvest (Table 2).<br />

Table 1. % Beta Glucan and Acid Extract Viscosity (cps) for five CDC varieties and four CDC<br />

selections <strong>of</strong> hulless specialty starch barley at Saskatoon 2000 through 2004.<br />

%BG AEV<br />

Genotype 2000 2001 2002 2003 2004 2000 2001 2002 2003 2004<br />

CDC McGwire 5.5 5.3 4.8 5.1 3.9 11 18 6 20 4<br />

CDC Candle* 6.2 6.7 6.5 7.0 6.0 51 93 12 207 13<br />

CDC Rattan* ----- 7.8 7.3 7.7 6.3 ----- 235 30 239 18<br />

CDC Alamo** 7.0 7.9 7.9 8.0 6.3 41 207 52 93 19<br />

CDC Fibar** 11.8 9.6 10.0 10.1 9.1 204 347 63 514 56<br />

SR93139* 8.5 9.3 8.5 9.2 7.1 434 >1000 81 578 71<br />

SB94893^ 8.5 8.4 8.2 9.6 7.6 46 58 22 220 11<br />

SH99250^ ----- 6.8 7.9 8.7 7.3 ----- 22 14 34 7<br />

SH99073^ ----- 7.7 8.0 9.2 7.0 ----- 55 8 94 7<br />

* 95% amylopectin starch, ** 100% amylopectin starch, ^ high amylose starch<br />

Note: lower BG and especially AEV levels in 2002 and 2004 indicate adverse (wet) pre-harvest<br />

conditions.<br />

Table 2. Agronomic, BG and AEV data 2001 and 2002 PRRCG, Western <strong>Canadian</strong> Hulless<br />

<strong>Barley</strong> Cooperative test.<br />

Yield Lodging Dirty Test Clean Test % Plump % AEV<br />

% McGwire (1-9) Wt. (kg/hl) Wt. (kg/hl) Grain BG (cps)<br />

CDC McGwire 100 3.4 74.1 78.6 76 4.7 16<br />

CDC Candle 86 5.5 70.2 76.6 61 6.4 121<br />

CDC Rattan 95 3.0 71.3 78.1 80 6.9 150<br />

# Station Years 25 6 21 27 20 2 2<br />

Crossing <strong>the</strong> CDC two row hulless waxy breeding line SB85750 and <strong>the</strong> six row hulless waxy<br />

variety AzHul from <strong>the</strong> University <strong>of</strong> Arizona in 1990 to determine if <strong>the</strong> gene(s) giving rise to<br />

<strong>the</strong> waxy starch in <strong>the</strong>se different germplasm sources was <strong>the</strong> same gave two interesting results.<br />

First was <strong>the</strong> indication that <strong>the</strong> genes controlling <strong>the</strong> waxy starch trait were different based on<br />

<strong>the</strong> fact <strong>the</strong> some segregates from <strong>the</strong> cross had normal starch type. More interesting and<br />

valuable was <strong>the</strong> result that some unique segregates had 100% amylopectin starch, a first in<br />

barley development (Bhatty and Rossnagel, 1997), and we believe a first in that 100%<br />

amylopectin barley starch is <strong>the</strong> only available native form <strong>of</strong> pure amylopectin starch.<br />

Of considerable note with this unique waxy type was even higher levels <strong>of</strong> BG and AEV as<br />

demonstrated by <strong>the</strong> varieties CDC Alamo (released in 1999) and CDC Fibar (released in 2003)<br />

(Table 1). CDC Alamo normally has a BG concentration <strong>of</strong> near 8% with high AEV, while CDC<br />

Fibar consistently produces BG concentration > 9% and has on several instance had BG > 10%.<br />

- 30 -


Session 1: Feed and Food Quality – Oral presentations<br />

While CDC Fibar has considerably higher BG and AEV, it does not <strong>of</strong>fer any improvement in<br />

agronomic performance (Table 3).<br />

Table 3. Agronomic, BG and AEV data 2002 PRRCG, Western <strong>Canadian</strong> Hulless <strong>Barley</strong><br />

Cooperative test.<br />

Yield % Lodging Dirty Test Clean Test % Plump % AEV<br />

McGwire (1-9) Wt. (kg/hl) Wt. (kg/hl) Grain BG (cps)<br />

CDC McGwire 100 2.4 74.2 77.8 75 4.7 5<br />

CDC Candle 86 4.9 70.5 76.0 72 6.5 16<br />

CDC Rattan 98 1.9 71.4 77.3 81 7.1 18<br />

CDC Fibar 78 2.9 66.0 73.5 88 9.1 52<br />

# Station Years 14 3 9 11 10 6 6<br />

Within <strong>the</strong> 95% amylopectin waxy type, CDC selection SR93139 is <strong>of</strong> note in that it has BG<br />

levels approaching that <strong>of</strong> CDC Fibar and has exceptionally high AEV (Table 1). These traits<br />

may be an advantage in non-food industrial applications.<br />

CDC high amylose hulless materials are represented specifically by SB94893 a two row<br />

selection which derives its high amylose starch from <strong>the</strong> hulled genotype high amylose Glacier.<br />

As is <strong>the</strong> case for high amylose Glacier, SB94893 has starch which is about 40% amylose and it<br />

has high BG with moderately high AEV (Table 1). Food industry interest in high amylose types<br />

is increasing as interest in “resistant starch” increases, since, relative to amylopectin, amylose<br />

behaves like resistant starch. Unfortunately, our experience has been that developing<br />

agronomically acceptable high amylose material from <strong>the</strong> high amylose Glacier background is a<br />

definite challenge. While selections like SB94893 are certainly “growable” under normal field<br />

conditions, <strong>the</strong>se materials tend to be very tall, weak and relatively low yielding and we have put<br />

much less effort into improving <strong>the</strong>se types to date. With increased interest in resistant starch we<br />

have recently increased efforts on this type.<br />

Of note are CDC selections SH99250 (2 row) and SH99073 (6 row), both <strong>of</strong> which, while having<br />

no evidence <strong>of</strong> differential starch type in <strong>the</strong>ir pedigrees, have been found to be high in amylose<br />

and have elevated BG and somewhat elevated AEV levels (Table 1). As part <strong>of</strong> our ongoing<br />

hulless food barley effort and our annual routine screening <strong>of</strong> 1000’s <strong>of</strong> selections for BG and<br />

AEV we have always been on <strong>the</strong> lookout for normal starch lines with elevated BG and/or AEV<br />

since some potential users have indicated a desire for > BG, but that <strong>the</strong> waxy or high amylose<br />

starch was undesirable for <strong>the</strong>ir end-use(s). Based solely on high BG concentration, SH99250<br />

and SH99073 were retained, advanced and increased for just that purpose.<br />

However, since <strong>the</strong> pedigrees <strong>of</strong> <strong>the</strong>se two lines gave no evidence ei<strong>the</strong>r should have altered<br />

starch type, <strong>the</strong>y were not evaluated for amylose/amylopectin ratio until relatively recently and,<br />

much to our surprise, both selections have elevated amylose levels. While not quite as high in<br />

amylose as <strong>the</strong> 40% amylose derivatives from high amylose Glacier, <strong>the</strong>se selections are<br />

definitely not normal 25% amylose starch type, as <strong>the</strong>y consistently demonstrate amylose levels<br />

> 35%. Of special interest is that both <strong>of</strong> <strong>the</strong>se selections have relatively good agronomic<br />

performance and are much better field performers than high amylose Glacier derivatives. These<br />

selections are currently being fur<strong>the</strong>r evaluated and crosses have been between <strong>the</strong>m and with<br />

high amylose derivatives like SB94893 to determine if <strong>the</strong> high amylose in <strong>the</strong>se unique<br />

- 31 -


Session 1: Feed and Food Quality – Oral presentations<br />

selections is under different genetic control. There is <strong>of</strong> course an outside chance that combining<br />

<strong>the</strong>se materials may also result in selections with amylose > 40%.<br />

While not yet widely used in <strong>the</strong> food or non-food industries, considerable success has been<br />

generated using our 95% and 100% amylopectin hulless waxy material at <strong>the</strong> research and<br />

indeed even at <strong>the</strong> commercial level. In particular, research level efforts by N. Ames at <strong>the</strong> CRC,<br />

AAFC, Winnipeg; T. Vasanthan and F. Temelli, University <strong>of</strong> Alberta; M. Izydorczyk and J.<br />

Dexter, GRL, CGC, Winnipeg and M. Izydorczyk, J. Li and R. McCaig, CMBTC, Winnipeg<br />

have demonstrated unique value for uses in tortillas, high soluble fibre snacks, BG extraction and<br />

concentration, noodles and bread products. At <strong>the</strong> commercial level, InfraReady Products Ltd.,<br />

Saskatoon has developed a unique, biodegradable, environmentally friendly cat litter,<br />

LitterMate TM which is being marketed across western Canada, Cevena Bioproducts, Edmonton<br />

has been using <strong>the</strong>se high BG hulless barley materials as <strong>the</strong> basic feedstock for <strong>the</strong>ir BG<br />

concentration and extraction process, Sapporo Breweries, Japan have expressed considerable<br />

interest in <strong>the</strong> use <strong>of</strong> our 100% amylopectin materials CDC Alamo and CDC Fibar for a new<br />

food barley venture in Japan, and <strong>the</strong> Saskatchewan potash industry has again expressed interest<br />

in <strong>the</strong> possible use <strong>of</strong> <strong>the</strong>se materials in <strong>the</strong>ir solution mining process.<br />

In summary we see a good future for specialty starch hulless barley especially with elevated BG<br />

(thus soluble fibre) levels, and are confident that our project will serve as a good base for <strong>the</strong>se<br />

purposes from a western <strong>Canadian</strong> plant breeding and barley R&D perspective.<br />

References<br />

Aastrup, S. and Jorgensen, K.G. 1988. Application <strong>of</strong> <strong>the</strong> calc<strong>of</strong>luor flow injection analysis<br />

method for determination <strong>of</strong> beta-glucan in barley, malt, wort and beer. J. Am. Soc. Brew.<br />

Chem. 46(3):76-81.<br />

Bhatty, R.S. and Rossnagel, B.G. 1997. Zero amylose lines <strong>of</strong> hull-less barley. Cereal Chem.<br />

74(2):190-191.<br />

Greenberg, D.C. and Whitmore, E.T. 1974. A rapid method for estimating <strong>the</strong> viscosity <strong>of</strong><br />

barley extracts. J. Inst. Brew. 90:178-180.<br />

Special acknowledgements<br />

Dr. R. S. Bhatty, Pr<strong>of</strong>essor Emeritus (CDC), University <strong>of</strong> Saskatchewan.<br />

Dick Klaffke, Alberta Wheat Pool and Agricore (retired).<br />

Funding acknowledgements<br />

University <strong>of</strong> Saskatchewan<br />

Saskatchewan Agriculture and Food<br />

Saskatchewan Agriculture Development Fund<br />

Alberta Wheat Pool<br />

Agricore Ltd.<br />

Agricore United<br />

- 32 -


Session 1: Feed and Food Quality – Poster abstracts<br />

Breeding for malt and feed quality barley in nor<strong>the</strong>rn Australia<br />

Glen Fox 1,5 , Jan Bowman 3 , Karyn Onley-Watson 1 , Andrew Skerman 1 , Gary Bloustein 1 , Alison Kelly 1 , Andy<br />

Inkerman 1 , David Poulsen 4 and Robert Henry 2,5<br />

1 Department <strong>of</strong> Primary Industries& Fisheries, Toowoomba, Queensland, Australia<br />

2 Grain Foods Cooperative Research Centre, Lismore NSW, Australia<br />

3 Montana State University, Bozeman, Montana, USA<br />

4 Department <strong>of</strong> Primary Industries & Fisheries, Warwick, Queensland, Australia<br />

5 Sou<strong>the</strong>rn Cross University, Lismore NSW, Australia.<br />

Most countries that produce barley classify <strong>the</strong>ir varieties as ei<strong>the</strong>r malt or feed with <strong>the</strong> feed class<br />

consisting <strong>of</strong> varieties that are not biochemically suited for malting. However, <strong>the</strong>se varieties have<br />

probably not been tested for any animal feed value. In a number <strong>of</strong> countries, including Australia,<br />

more barley is used annually for feeding animals than used in beer production. Under Australian<br />

feedlot conditions, anecdotal data had suggested that malt varieties were best for feeding cattle but<br />

little data was available to support this generalisation. We have undertaken a study comparing over<br />

30 Australian varieties and breeding lines to ascertain some scientific basis to this <strong>the</strong>ory. Genotypes<br />

from two sites and two years replicated trials were evaluated for malt and feed analysis. Results<br />

indicated that <strong>the</strong> levels <strong>of</strong> resting grain components were similar for each end-use. There was no<br />

apparent difference in total starch content between malt and feed. However, <strong>the</strong>re were differences<br />

for <strong>the</strong> in sacco Dry Matter Digestibility with <strong>the</strong> good feed and malt genotypes having low levels.<br />

While <strong>the</strong>re was no strong relationship for particle size (hardness) between malt and feed quality<br />

<strong>the</strong>re was a relationship within a genotype with feed type being slightly harder. This relationship was<br />

independent <strong>of</strong> protein content. The most significant area <strong>of</strong> difference is <strong>the</strong> need for malt varieties<br />

to produce moderate to high levels <strong>of</strong> enzymes to breakdown endosperm components during malting<br />

and mashing. Varieties that performed especially well in both end-uses, ie good malt quality and<br />

improved animal performance, were current malting varieties. The biochemical results to date<br />

demonstrate that breeding programs could effectively select for improved malt and feed quality in<br />

breeding lines by focusing on malt quality and selecting lines with high level <strong>of</strong> enzymes.<br />

- 33 -<br />

Corresponding author: glen.fox@dpiq.ld.gov.au


Session 1: Feed and Food Quality – Poster abstracts<br />

Milling energy and grain hardness in barley<br />

G. A. Camm and B.G. Rossnagel<br />

Plant Sciences Department/Crop Development Centre, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon,<br />

Saskatchewan S7N 5A8<br />

Grain hardness is a product <strong>of</strong> <strong>the</strong> complex interaction between compositional and structural<br />

endosperm components, including starch, protein and beta-glucan. Hardness may contribute<br />

significantly to barley quality. Grain hardness can be evaluated by measuring <strong>the</strong> energy required to<br />

mill (milling energy) or crush (hardness) <strong>the</strong> grain, with harder grain requiring more force. Our<br />

research examines <strong>the</strong> relationship between milling energy and hardness <strong>of</strong> several feed and malting<br />

barley genotypes grown at multiple locations and <strong>the</strong> influence <strong>of</strong> protein and moisture on grain<br />

hardness.<br />

Seven feed, one malting variety and one malting barley breeding line were grown in field trials at six<br />

Western <strong>Canadian</strong> sites during 2003 and 2004 and evaluated for milling energy, hardness, moisture<br />

and protein content. Milling energy was determined using <strong>the</strong> ‘Comparamill’ at <strong>the</strong> Scottish Crop<br />

Research Institute (Scotland). Hardness and moisture were determined using <strong>the</strong> Perten Single<br />

Kernel Characterization System (SKCS). Grain protein was estimated using Near Infrared<br />

Transmittance (NIT).<br />

Analysis <strong>of</strong> variance showed significant differences between genotypes and sites for all measured<br />

traits (P = 0.99). Milling energy <strong>of</strong> genotypes<br />

ranged from 617 to 736 joules (SE = 5.9). McLeod and CDC Dolly required significantly more<br />

energy to mill, followed by Valier, Newdale, Xena and CDC Helgason. CDC Bold, TR253 and CDC<br />

Trey required <strong>the</strong> least energy to mill, indicating a s<strong>of</strong>ter endosperm. Milling energy ranged from<br />

625 to 709 joules across sites. SKCS hardness <strong>of</strong> genotypes ranged from 38.5 to 56.6 (SE = 0.77).<br />

McLeod was hardest, followed by Valier, Xena and CDC Dolly. CDC Trey, Newdale, TR253, CDC<br />

Helgason, and CDC Bold followed with CDC Bold being s<strong>of</strong>test. SKCS hardness ranged from 40.4<br />

to 55.8 across sites. Protein concentration <strong>of</strong> genotypes ranged from 10.8 to 12.0% (SE = 0.16).<br />

McLeod, CDC Dolly and Newdale were highest followed by Valier, CDC Helgason, TR253, CDC<br />

Bold, Xena and CDC Trey. Protein concentration ranged from 8.8% to 13.3% across sites. Moisture<br />

<strong>of</strong> genotypes ranged from 10.1% to 10.5% (SE = 0.06), with larger differences between sites (7.4%<br />

to 13.1%). Milling energy was correlated (n = 9) with SKCS hardness (r = 0.81, P =


Session 1: Feed and Food Quality – Poster abstracts<br />

Low phytate barley (Hordeum vulgare L.) development at <strong>the</strong> Crop<br />

Development Centre, University <strong>of</strong> Saskatchewan<br />

B.G. Rossnagel 1 , T. Zatorski 1 , G. Arganosa 1 and V. Raboy 2<br />

1 Department <strong>of</strong> Plant Sciences/Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, CANADA, S7N 5A8<br />

2 U.S.D.A. Agricultural Research Service, National Small Grains Research Facility, 1691 So. 2700 W., Aberdeen, ID 83210, USA<br />

Phytate, a complex <strong>of</strong> phytic acid (myo-inositol 1,2,3,4,5,6-hexakisphosphate) and o<strong>the</strong>r minerals, is<br />

<strong>the</strong> primary form <strong>of</strong> phosphorous in barley grain. Monogastric animals do not effectively digest<br />

phytate because <strong>the</strong>y do not produce <strong>the</strong> phytase enzyme. Diets must be supplemented with<br />

inorganic phosphorous (P) or a microbial phytase to meet minimum nutritional requirements.<br />

Consequently, excreted phytate generates high levels <strong>of</strong> P in effluent resulting in possible<br />

environmental pollution or eutriphication <strong>of</strong> waterways. Low phytic acid mutants (with<br />

corresponding increases in free and available phosphorous) have been developed in Harrington<br />

barley by Dr. V. Raboy, U.S.D.A. Hvlpa1-1 has 50% less phytate and M635 and M955 have 75%<br />

and 95% less, respectively. Initial hybridizations <strong>of</strong> <strong>the</strong> low phytate genotypes were made in 1998 at<br />

<strong>the</strong> Crop Development Centre (CDC) to adapted hulless parents in <strong>the</strong> combinations: Hvlpa1-1/CDC<br />

McGwire and M635/CDC Freedom. Based on <strong>the</strong> uniformity <strong>of</strong> <strong>the</strong> original mutants from an<br />

observation trial in 1999 <strong>the</strong> initial crosses were subjected to a rapid backcross breeding strategy with<br />

CDC McGwire and CDC Freedom as recurrent parents. Four backcrosses were made for each hybrid<br />

combination between 1999 and 2000 with each F1 being screened for phytate to retroactively identify<br />

<strong>the</strong> low phytate F1 plants for <strong>the</strong> correct backcross in <strong>the</strong> greenhouse at <strong>the</strong> University <strong>of</strong><br />

Saskatchewan. BC4F1 generations were grown as bulk populations in 2000/01 in New Zealand<br />

winter nurseries and <strong>the</strong> subsequent F2 populations were grown as space planted bulks at Saskatoon,<br />

SK in 2001. The BC4F3 and BC4F4 generations were advanced using a modified single seed descent<br />

procedure in <strong>the</strong> greenhouses at <strong>the</strong> University <strong>of</strong> Saskatchewan during <strong>the</strong> 2001/02 winter. BC4F5<br />

lines were grown in <strong>the</strong> field at Saskatoon as F5 hill plots in 2002. Each hill plot was derived from an<br />

individual F4 head. Selected hills were tested for phytate. Seed from selected low phytate F5 hill<br />

plots was bulked and increased in 2002/03 winter nurseries in New Zealand. Selections were tested<br />

in CDC yield trials in 2003, two <strong>of</strong> which, SR03013 (50% phytate reduction) and SR03044 (75%<br />

phytate reduction), were advanced to <strong>the</strong> Western <strong>Canadian</strong> Hulless <strong>Barley</strong> Cooperative<br />

(WCHBCoop) yield trial during 2004 as HB378 and HB379, respectively. HB379 has been<br />

advanced for final year testing in <strong>the</strong> 2005 WCHBCoop and will be put forward for support for<br />

variety registration in 2006. Growing 2 nd generation Breeder Hills in our 2004/05 New Zealand<br />

contra-season nursery has allowed for rapid production <strong>of</strong> Breeder Seed <strong>of</strong> HB379 in 2005 in<br />

anticipation <strong>of</strong> variety registration. Using this rapid breeding technique means we have moved from<br />

1 st cross in 1998 to a released variety in 2006, a period <strong>of</strong> less than eight years.<br />

- 35 -<br />

E-mail: Brian.Rossnagel@usask.ca


Session 1: Feed and Food Quality – Poster abstracts<br />

Post-an<strong>the</strong>sis biomass yield and quality <strong>of</strong> barley cultivars developed by<br />

Field Crop Development Centre<br />

Nyachiro* J.M., J.H. Helm and P.E. Juskiw<br />

Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, 5030 – 50 St., Lacombe, AB T4L 1W8<br />

Web Site: http://www1.agric.gov.ab.ca/app21/rtw/selsubj.jsp<br />

*Corresponding author: joseph.nyachiro@gov.ab.ca<br />

Over 2.5 million tonnes <strong>of</strong> barley silage is produced each year in Alberta to support <strong>the</strong> livestock<br />

industry. <strong>Barley</strong> is a vigorous, early maturing crop that makes high quality silage and is also a<br />

preferred feed grain for Alberta producers. The objective <strong>of</strong> this study was to determine postan<strong>the</strong>sis<br />

(PA) biomass yield and quality <strong>of</strong> barley varieties and advanced breeding lines developed at<br />

<strong>the</strong> Field Crop Development Centre (FCDC), Lacombe. Tests were grown at Lacombe from 1998 to<br />

2004, excluding data for <strong>the</strong> drought year 2002. The varieties were grown in replicated field trials.<br />

At about s<strong>of</strong>t-dough growth stage (post-an<strong>the</strong>sis) <strong>the</strong> plots were harvested and wet weights<br />

determined. Samples were analyzed to determine quality and percent moisture so dry weight could<br />

be calculated. Sub-samples <strong>of</strong> biomass were analyzed for percent protein, acid detergent fibre<br />

(ADF%), neutral detergent fibre (NDF%) and relative feed value (RFV) was calculated. Overall,<br />

<strong>the</strong>re were significant variations <strong>of</strong> 5 to 20 tonnes/ha <strong>of</strong> PA biomass yield among barley varieties.<br />

On average <strong>the</strong>re were no significant differences between <strong>the</strong> 2-rowed, 6-rowed or hulless barley<br />

classes. Biomass protein for all varieties ranged between 8 and 15%. The 6-rowed and hulless<br />

barley classes tended to have slightly wider range <strong>of</strong> protein values compared with <strong>the</strong> 2-rowed. The<br />

ADF ranged between 20 and 40%. The overall NDF ranged between 30 and 65%, although <strong>the</strong> 2rowed<br />

barleys showed a relatively narrower NDF range <strong>of</strong> between 39 and 59%. The overall RFV<br />

varied between 85 and 200. The 2-rowed barleys showed narrower RFV values varying between 100<br />

and 160 compared with ei<strong>the</strong>r 6-rowed or hulless barleys. The ADF was positively correlated (r =<br />

0.85) with NDF, and grain yield was positively correlated (r = 0.75) with biomass yield. The<br />

biomass yields, protein % and grain yield showed no correlation to ADF, NDF or RFV. These<br />

results suggest that it is possible to breed barley for high post-an<strong>the</strong>sis biomass yields and quality.<br />

- 36 -


Session 1: Feed and Food Quality – Poster abstracts<br />

Process development for quick cooking barley products<br />

Hong Qi 1 ; Connie Phillips 1 ; M. Eliason 2 ; Karen Erin 3 and Feral Temelli 4<br />

1 Centre for Agri-Industrial Technology, Processing Division, Alberta Agriculture, Food & Rural Development (AAFRD)<br />

2 Agricultural Engineering Branch, Technical Services, AAFRD<br />

3 Processing Division, AAFRD<br />

4 University <strong>of</strong> Alberta<br />

<strong>Barley</strong> is among <strong>the</strong> most ancient <strong>of</strong> <strong>the</strong> cereal crops. Canada is <strong>the</strong> world’s third largest barley<br />

producer with an average annual production <strong>of</strong> 12 million tonnes. Alberta produces approximately<br />

one half <strong>of</strong> <strong>the</strong> total <strong>Canadian</strong> production. A large percentage <strong>of</strong> <strong>the</strong> production is used as feed for<br />

cattle, swine and poultry, while <strong>the</strong> second largest usage is in <strong>the</strong> malting industry. A limited amount<br />

<strong>of</strong> barley is used for human food. The objective <strong>of</strong> this study was to develop processes for quickcooking<br />

barley products to increase food barley consumption.<br />

Alberta grown Falcon and AC Metcalfe cultivars were used for <strong>the</strong> study. The effects <strong>of</strong> variety,<br />

pearling rate and pre-treatment on moisture uptake were studied. Moisture uptake was used to<br />

evaluate <strong>the</strong> effect <strong>of</strong> each pre-treatment. Two processes were developed to produce quick-cooking<br />

barley. The quick-cooking barley products reduced cooking time from 45 minutes to 15 minutes for<br />

35% pearled barley and from 60 minutes to 18 minutes for 5% pearled barley. Quick-cooking barley<br />

can be cooked by boiling in at least twice <strong>the</strong> volume <strong>of</strong> water for 15 to 18 minutes followed by a 5minute<br />

stand. Quick-cooking barley products have a cooked texture, as measured by an Ottawa<br />

extrusion method, with an average force <strong>of</strong> 450 N, an average bulk density <strong>of</strong> 530 kg/m 3 and an<br />

appearance similar to long-cooking barley (cooking 35% pearled barley for 45 minutes and 5%<br />

pearled barley for 1 hour).<br />

There was a slight decrease in <strong>the</strong> beta-glucan content with <strong>the</strong> treatments except with <strong>the</strong> 35%<br />

pearled AC Metcalfe, where <strong>the</strong> beta-glucan level increased. The 5% pearled barley had much<br />

higher insoluble dietary fiber content than that <strong>of</strong> <strong>the</strong> 35% pearled barley samples. There was a slight<br />

increase in <strong>the</strong> soluble fibre content with <strong>the</strong> pressure treatment compared with <strong>the</strong> untreated barley<br />

samples.<br />

There were no significant differences between <strong>the</strong> samples for overall acceptability or flavour, but<br />

appearance and texture were significantly different. The steamed barley samples scored significantly<br />

higher for appearance and colour than <strong>the</strong> pressure-cooked samples. The pressure-cooked barley<br />

scored significantly higher than <strong>the</strong> steam-cooked samples for texture, bite and stickiness/looseness.<br />

The successful development <strong>of</strong> a quick-cooking barley process provides an excellent<br />

commercialization opportunity for processors to produce a human consumption barley product,<br />

which could be conveniently incorporated into our daily diet.<br />

- 37 -<br />

Hong.qi@gov.ab.ca


Session 2: Pathology and Entomology<br />

Monday, July 18, 2005 – p.m.<br />

Session 2 - PATHOLOGY AND ENTOMOLOGY<br />

Chairs<br />

Kelly Turkington and Kequan Xi<br />

Presenters<br />

Flavio Capettini, ICARDA / CIMMYT, Mexico<br />

T. Kelly Turkington, Agriculture & Agri-Food Canada, Lacombe Research Centre<br />

Shipra Mittal, North Dakota State University<br />

Seonghee Lee, North Dakota State University<br />

- 38 -


Session 2: Pathology and Entomology – Oral presentations<br />

International germplasm development for multiple disease resistance<br />

Flavio Capettini 1 , Stefania Grando 2 , Salvatore Ceccarelli 2 , Amor Yahyaoui 2<br />

1 ICARDA/CIMMYT Mexico<br />

2 ICARDA Syria<br />

Introduction<br />

The International Center for Agricultural Research in <strong>the</strong> Dry Areas (ICARDA), with <strong>the</strong><br />

headquarters in Aleppo, Syria, is one <strong>of</strong> 15 centers strategically located all over <strong>the</strong> world and<br />

supported by <strong>the</strong> Consultative Group on International Agricultural Research (CGIAR). With its<br />

main research station and <strong>of</strong>fices based in Aleppo, Syria, ICARDA works through a network <strong>of</strong><br />

partnerships with national, regional and international institutions, universities, non-governmental<br />

organizations and ministries in <strong>the</strong> developing world; and with advanced research institutes in<br />

industrialized countries. ICARDA serves <strong>the</strong> entire developing world for <strong>the</strong> improvement <strong>of</strong><br />

barley, lentil, and faba bean; and dry-area developing countries for <strong>the</strong> on-farm management <strong>of</strong><br />

water, improvement <strong>of</strong> nutrition and productivity <strong>of</strong> small ruminants (sheep and goats), and<br />

rehabilitation and management <strong>of</strong> rangelands. The Global <strong>Barley</strong> Enhancement Program has its<br />

headquarters in Syria, while <strong>the</strong> sub-program based in Latin America, targets <strong>the</strong> developing<br />

countries in that region. The development <strong>of</strong> germplasm with resistance to <strong>the</strong> main biotic and<br />

abiotic stresses has always had <strong>the</strong> highest priority in <strong>the</strong> program. Genetic resistance still is <strong>the</strong><br />

most environmentally-friendly and durable method <strong>of</strong> control <strong>of</strong> crop stresses, as well as <strong>the</strong> only<br />

affordable method for low income farmers at different regions worldwide.<br />

Disease Evaluation<br />

To reach our objectives it is very important to have screening environments where it is possible<br />

to maximize <strong>the</strong> response to selection for a determined trait. This many times implies <strong>the</strong> need to<br />

decrease <strong>the</strong> environmental variation, giving <strong>the</strong> optimal conditions for disease development<br />

(misting, inoculation) or stress expression (drought). This is possible in <strong>the</strong> environments that <strong>the</strong><br />

program uses regularly in different parts <strong>of</strong> <strong>the</strong> world. In Syria, selection is carried out at key<br />

environments where <strong>the</strong> main diseases in <strong>the</strong> region can be reproduced. Selection for scald, loose<br />

smut, covered smut, barley stripe, powdery mildew, net blotch and root rot are carried out at <strong>the</strong><br />

headquarters at Tel-Hadya, Aleppo. In Lattakia, selection is also performed for net blotch and<br />

powdery mildew, while in Terbol (Lebanon), scald resistance is selected during <strong>the</strong> winter and<br />

powdery mildew and leaf rust resistances during summer. In Haymana (Turkey), scald, net<br />

blotch and powdery mildew resistances are selected.<br />

In Mexico, key experimental stations have also allowed <strong>the</strong> accumulation <strong>of</strong> resistance to<br />

different important diseases in an efficient manner. Toluca and El Batán, during summer time,<br />

are key selection hot spots for several diseases. At Toluca, stripe rust, scald, Fusarium head<br />

blight and BYDV can be selected with highest confidence. Heritabilities for Stripe Rust are<br />

usually higher than 95% at Toluca (Vales et al., 2005). The inoculation <strong>of</strong> all <strong>the</strong> program<br />

segregant material with scald and <strong>the</strong> natural infection with stripe rust as well as <strong>the</strong> artificial<br />

inoculation <strong>of</strong> <strong>the</strong> advanced material with this disease, practically makes all germplasm coming<br />

out from <strong>the</strong> program resistant to <strong>the</strong>se diseases. At Ciudad Obregón during winter season, ideal<br />

conditions for leaf rust allow us to confidently select for resistance to this disease in all <strong>the</strong><br />

- 39 -


Session 2: Pathology and Entomology – Oral presentations<br />

inoculated segregant material. Again, most <strong>of</strong> <strong>the</strong> germplasm deployed is expected to be resistant<br />

to this disease also.<br />

Collaboration with Advanced Research Institutes and National Research Institutes<br />

The close collaboration with centers <strong>of</strong> excellence or “Advanced Research Institutes” (ARIs) is<br />

fundamental to develop <strong>the</strong> superior germplasm needed in <strong>the</strong> target areas, as well as <strong>the</strong> close<br />

contact with <strong>the</strong> “National Research Institutes” (NARs) is essential to receive input about<br />

research priorities. The ICARDA/CIMMYT program for Latin America has had long term<br />

collaboration with several programs worldwide. Among <strong>the</strong> longest and most productive has<br />

been <strong>the</strong> collaboration with <strong>the</strong> barley program <strong>of</strong> Alberta Agriculture, Food and Rural<br />

Development, headed by Dr. James Helm. For many years, <strong>the</strong> synergistic interaction which<br />

included germplasm exchange, screening and expertise, helped developing superior barleys with<br />

resistance to 5-7 important diseases. No less important has been <strong>the</strong> interaction with <strong>the</strong> barley<br />

program at Oregon State University, mainly regarding stripe rust research. That program under<br />

<strong>the</strong> leadership <strong>of</strong> Dr. Patrick Hayes, made it possible to map several populations, while carrying<br />

out <strong>the</strong> phenotyping at Toluca. These studies have helped to understand <strong>the</strong> genetics <strong>of</strong> <strong>the</strong><br />

diseases and generated germplasm with pyramided genes for resistance available to all <strong>the</strong><br />

programs in <strong>the</strong> region and worldwide. The participation in <strong>the</strong> now discontinued North<br />

American Stripe Rust Nursery, coordinated by Drs. Bill Brown and Vidal Velasco, allowed for<br />

<strong>the</strong> determination <strong>of</strong> <strong>the</strong> level <strong>of</strong> resistance to Stripe Rust present at <strong>the</strong> different programs in<br />

North America, and to use <strong>the</strong> resistance for germplasm enhancement. The screening <strong>of</strong> <strong>the</strong><br />

Australian programs through <strong>the</strong> PBI <strong>of</strong> <strong>the</strong> University <strong>of</strong> Sydney, under <strong>the</strong> leadership <strong>of</strong> Dr.<br />

Colin Wellings, also reaches <strong>the</strong> same objectives with that country. More recently, <strong>the</strong><br />

collaboration with Bush Agricultural Resources Inc. (BARI) through Dr. Leslie Wright and<br />

Linnea Skoglund allowed us to incorporate malting quality in our multiple disease resistant<br />

gemplasm. Using <strong>the</strong>ir malting barley varieties as templates, in one cycle <strong>of</strong> breeding it was<br />

possible to obtain attractive lines that combined resistance levels to <strong>the</strong> main diseases at higher<br />

level than <strong>the</strong> parents. In following cycles additional gains in <strong>the</strong> agronomic and quality traits are<br />

expected.<br />

Undoubtedly one <strong>of</strong> <strong>the</strong> greatest challenges that <strong>the</strong> barley programs in <strong>the</strong> region and worldwide<br />

has faced in <strong>the</strong> last decade has been <strong>the</strong> epidemic outbreaks <strong>of</strong> Fusarium head blight (FHB). As<br />

several <strong>of</strong> us know, FHB has always been present in <strong>the</strong> barley cultivated area, but never in <strong>the</strong><br />

proportions and frequency reached lately. The epidemic patterns appear to repeat in several<br />

countries worldwide. After <strong>the</strong> outbreak in <strong>the</strong> Midwestern US in 1993, outbreaks <strong>of</strong> different<br />

intensities have occurred in Uruguay, Brazil, Peru, Ecuador, etc. This supports <strong>the</strong> need to<br />

continue intensively working with this destructive disease. Our program has, in several<br />

opportunities, linked <strong>the</strong> NARs and <strong>the</strong> ARIs in order to facilitate research exchange. Our<br />

collaboration within <strong>the</strong> US Wheat and <strong>Barley</strong> Scab Initiative has been essential to support our<br />

research as well as to keep scientists updated with <strong>the</strong> latest research advances. Probably as with<br />

no o<strong>the</strong>r disease has <strong>the</strong> interaction among colleagues and <strong>the</strong> synergistic relationships been so<br />

important, from <strong>the</strong> collaborative germplasm screening networks to <strong>the</strong> brainstorming sessions<br />

carried out when working toge<strong>the</strong>r, from China to <strong>the</strong> Midwest or Mexico.<br />

- 40 -


Breeding Strategies<br />

Session 2: Pathology and Entomology – Oral presentations<br />

ICARDA/CIMMYT - México<br />

Since <strong>the</strong> early 1980s, several programs have been involved in breeding for disease resistance.<br />

The program in Mexico took advantage <strong>of</strong> collaboration and experience to build <strong>the</strong> foundation<br />

<strong>of</strong> resistances to <strong>the</strong> different diseases. Webster et al. (1980) screened 18,000 accessions from<br />

<strong>the</strong> world barley collection for scald resistance. They found 273 entries that showed no<br />

symptoms. Resistant entries were introduced and screened for virulence in Central Mexico. From<br />

<strong>the</strong> 273, 13% showed susceptibility under those conditions and were discarded.<br />

The national research program at Colombia screened 8,650 accessions for race 24 <strong>of</strong> Puccinia<br />

striiformis f. sp. hordei (Anonymous, 1984). In Mexico, 285 entries were found to be resistant<br />

out <strong>of</strong> 11,087 accessions screened at CIANO experiment station in Obregón for races 8, 19 and<br />

30 <strong>of</strong> P. hordei . Vivar (1986) in México and Takeda and Heta (1989) in Japan screened 5,000<br />

accessions and found 23 lines with resistance to FHB. The germplasm identified above was used<br />

as <strong>the</strong> starting point for disease resistance in <strong>the</strong> program.<br />

Resistant germplasm was evaluated against <strong>the</strong> virulence <strong>of</strong> <strong>the</strong> most aggressive pathogens<br />

collected and introduced into <strong>the</strong> US and Europe from hot spots around <strong>the</strong> world. Work on leaf<br />

rust by Sharp and Reinhold (1982) in Montana and Parlevliet in Holland (1977) helped <strong>the</strong><br />

program identify parents to use in <strong>the</strong> crossing program. To accomplish <strong>the</strong> goal <strong>of</strong> introgressing<br />

<strong>the</strong> resistance <strong>of</strong> all those diseases into high yielding germplasm, “templates” were developed,<br />

first for scald and leaf rust, followed by templates to which stripe rust and o<strong>the</strong>r diseases<br />

resistances were added. Over a period <strong>of</strong> 25 years (two growing seasons per year) different<br />

diseases were pyramided. Varieties produced appeared to be commonly resistant to scald, leaf<br />

rust, stripe rust and stem rust, BYDV, net blotch and spot blotch and since several cases also to<br />

FHB. Besides <strong>the</strong> resistance, <strong>the</strong> agronomic type made <strong>the</strong> germplasm attractive enough to be<br />

extensively used as cultivars or as source <strong>of</strong> resistance by our colleagues.<br />

ICARDA – Syria<br />

To target <strong>the</strong> poor, <strong>the</strong> breeding philosophy <strong>of</strong> <strong>the</strong> project, which evolved during <strong>the</strong> last 14<br />

years, is based on exploiting specific adaptation through direct selection in <strong>the</strong> target<br />

environments using locally adapted germplasm and sustainable levels <strong>of</strong> external inputs.<br />

The two major implications <strong>of</strong> this philosophy were that (1) many varieties were generated by<br />

national programs, each adapted to specific conditions, and (2) <strong>the</strong> superior performance <strong>of</strong> <strong>the</strong><br />

varieties developed for low-input and less-favored lands are not dependent on agronomic<br />

practices that require large amount <strong>of</strong> inputs. A breeding program based on this philosophy does<br />

not endanger biodiversity, and is environmentally benign.<br />

A fundamental question <strong>the</strong> barley program has addressed in <strong>the</strong> last 14 years is why plant<br />

breeding has been beneficial to those farmers who ei<strong>the</strong>r enjoy favorable environments or could<br />

pr<strong>of</strong>itably modify <strong>the</strong>ir environment to suit new cultivars, and it has not been equally beneficial<br />

to those farmers who could not afford to modify <strong>the</strong>ir environment through <strong>the</strong> application <strong>of</strong><br />

additional inputs. Farmers in favorable environments, using high quantities <strong>of</strong> inputs, are now<br />

concerned with <strong>the</strong> adverse environmental effects and <strong>the</strong> loss <strong>of</strong> genetic diversity. Poor farmers<br />

in less-favored environments continue to suffer from chronically low yields, crop failures and, in<br />

- 41 -


Session 2: Pathology and Entomology – Oral presentations<br />

<strong>the</strong> worse situations, malnutrition and famine. Because <strong>of</strong> its past successes, conventional plant<br />

breeding has tried to solve <strong>the</strong> problems <strong>of</strong> poor farmers living in unfavorable environments by<br />

simply extending <strong>the</strong> same methodologies and philosophies applied earlier to favorable, high<br />

potential environments. We have now concluded that difficult environments and resource-poor<br />

farmers require a different type <strong>of</strong> breeding.<br />

Using contrasting sites in NW Syria we found repeatable genotype x environment (GE)<br />

interactions <strong>of</strong> crossover type between <strong>the</strong> main experiment station and experiment sites<br />

managed according to farmers' practices. GE interactions <strong>of</strong> crossover type are common in <strong>the</strong><br />

literature, in different crops and in different types <strong>of</strong> stress environments. We <strong>the</strong>n concluded that<br />

selection in high input experimental stations is very effective in generating varieties for favorable<br />

environments, but does not allow <strong>the</strong> identification <strong>of</strong> <strong>the</strong> best genotypes for less-favored lands,<br />

and promotes genotypes which are in fact inferior in stressful conditions.<br />

Formal breeding has taken a negative attitude towards GE interactions <strong>of</strong> crossover type, in <strong>the</strong><br />

sense that only breeding lines with low GE interaction (good average grain yield, across<br />

locations and years) are selected, while lines with good performance at some site and poor<br />

performance at o<strong>the</strong>rs are discarded. Because lines with good performance in unfavorable sites<br />

and poor response to favorable conditions have a low average grain yield, <strong>the</strong>y are systematically<br />

discarded. Yet <strong>the</strong>y would be <strong>the</strong> ideal lines for farmers in unfavorable locations. Therefore,<br />

having recognized <strong>the</strong> importance <strong>of</strong> GE interactions <strong>of</strong> <strong>the</strong> crossover type, a major conclusion<br />

has been that breeding for difficult environments must be based on <strong>the</strong> exploitation <strong>of</strong> specific<br />

adaptation, and this in turn can only be done by selecting directly in <strong>the</strong> target environments.<br />

While <strong>the</strong> application <strong>of</strong> this philosophy started being successful in Syria with <strong>the</strong> adoption <strong>of</strong><br />

three varieties in stress environments, <strong>the</strong> next question was: how to reconcile <strong>the</strong> mandate <strong>of</strong> an<br />

international breeding program with <strong>the</strong> importance <strong>of</strong> specific adaptation?<br />

The response to this question has been <strong>the</strong> decentralization <strong>of</strong> <strong>the</strong> breeding work. The term<br />

decentralization has been used <strong>of</strong>ten to describe two fundamentally different processes, namely<br />

decentralized selection and decentralized testing.<br />

Decentralized selection is a term first used by Simmonds (1984) and defined as selection in <strong>the</strong><br />

target environment(s). Decentralized selection has been also termed in-situ or on-site selection.<br />

In <strong>the</strong> case <strong>of</strong> self-pollinated crops it consists in selection <strong>of</strong> early segregating populations (such<br />

as F2) in a number <strong>of</strong> locations representing <strong>the</strong> target environment(s) (climate, soil, farming<br />

system and management) <strong>the</strong> breeding program aims to serve. Decentralized selection becomes<br />

selection for specific adaptation when <strong>the</strong> selection criterion is <strong>the</strong> performance in specific<br />

environments ra<strong>the</strong>r than <strong>the</strong> mean performance across environments.<br />

Decentralized selection is different from decentralized testing, which is a common feature <strong>of</strong><br />

breeding programs and takes place, usually in <strong>the</strong> form <strong>of</strong> multi-location trials and on-farm trials,<br />

after a number <strong>of</strong> cycles <strong>of</strong> selection in one or few environments (usually with high levels <strong>of</strong><br />

inputs).<br />

- 42 -


Session 2: Pathology and Entomology – Oral presentations<br />

Addressing <strong>the</strong> issue <strong>of</strong> resistance to biotic stresses, it is acknowledged that barley is affected by<br />

several foliar and root diseases, several insects, nematodes, and viruses. The organisms which<br />

can potentially damage a barley crop can be divided in two broad categories, namely those which<br />

are specific (ei<strong>the</strong>r as organism or as a physiological race) to a given country or area, and those<br />

which are widespread to several countries.<br />

The overall strategy, once <strong>the</strong> priority biotic stresses have been identified toge<strong>the</strong>r with NARs, is<br />

to decentralize <strong>the</strong> work on biotic stresses <strong>of</strong> <strong>the</strong> first type to NARs following <strong>the</strong> development <strong>of</strong><br />

<strong>the</strong> necessary expertise, and to concentrate at <strong>the</strong> headquarters on <strong>the</strong> second type <strong>of</strong> biotic<br />

stresses. The latter is an ideal ground for collaboration with ARIs.<br />

Within this broad strategy, <strong>the</strong> work on biotic stresses is integrated in <strong>the</strong> more general,<br />

decentralized approach to plant breeding followed by <strong>the</strong> project.<br />

In <strong>the</strong> case <strong>of</strong> foliar diseases, insects and viruses, <strong>the</strong> screening <strong>of</strong> large amount <strong>of</strong> breeding<br />

material, which has represented 90% <strong>of</strong> <strong>the</strong> activities in <strong>the</strong> past, has been gradually reduced to<br />

about 10% <strong>of</strong> <strong>the</strong> total work on biotic stresses. Eventually, screening was entirely transferred to<br />

NARs. Specific pests are tested at hot spots, and information circulated to all collaborators.<br />

Sources <strong>of</strong> resistance are being characterized at <strong>the</strong> headquarters which focus on <strong>the</strong> transfer <strong>of</strong><br />

genes for resistance into <strong>the</strong> breeding material developed by <strong>the</strong> decentralized program for<br />

specific countries and/or regions. In <strong>the</strong>se cases <strong>the</strong> national programs receive F4 families<br />

homozygous for <strong>the</strong> resistance gene(s), but variable for everything else. This is done at <strong>the</strong><br />

headquarters in <strong>the</strong> case <strong>of</strong> genes with non-specific resistance (for example, <strong>the</strong> genes for<br />

resistance to RWA and BYDV), and within five years it will be done routinely with <strong>the</strong> aid <strong>of</strong><br />

molecular markers. These first molecular markers assisted selection programs will also be used<br />

to train national program scientists.<br />

In <strong>the</strong> case <strong>of</strong> foliar diseases, where a large variability exists for physiological races, <strong>the</strong><br />

responsibility <strong>of</strong> <strong>the</strong> headquarter pathologist is <strong>the</strong> identification <strong>of</strong> genes which are effective<br />

against <strong>the</strong> virulences <strong>of</strong> target countries/regions. Sources <strong>of</strong> resistance for <strong>the</strong>se genes are used<br />

in <strong>the</strong> targeted crosses at <strong>the</strong> headquarters, but <strong>the</strong> selection <strong>of</strong> <strong>the</strong> segregating populations are<br />

done in <strong>the</strong> target environments. Marker assisted selection will be made available to NARs to<br />

increase <strong>the</strong> efficiency <strong>of</strong> selection.<br />

Two areas which need expansion are a) scab, root diseases and nematodes, and b) durable<br />

resistance and population improvement.<br />

The entire area <strong>of</strong> durable resistance, and <strong>of</strong> <strong>the</strong> consequent changes in <strong>the</strong> breeding strategies<br />

which are needed, are addressed by <strong>the</strong> barley project, and at least one case-study is being<br />

developed to address one <strong>of</strong> <strong>the</strong> most variable foliar diseases (powdery mildew) with two<br />

alternative strategies, one based on deployment <strong>of</strong> major genes and one based on <strong>the</strong> increase <strong>of</strong><br />

horizontal resistance through population improvement.<br />

- 43 -


Results Obtained<br />

Session 2: Pathology and Entomology – Oral presentations<br />

In decentralized selection, <strong>the</strong> barley project at ICARDA continues to generate genetic variation<br />

by maintaining a large crossing program, but selection is carried out by <strong>the</strong> breeders in <strong>the</strong><br />

National Programs. At this moment, decentralization <strong>of</strong> barley breeding is fully implemented in<br />

North Africa, Iraq and Ethiopia, and it is gradually being implemented in <strong>the</strong> Mediterranean<br />

highlands in <strong>the</strong> framework <strong>of</strong> <strong>the</strong> ICARDA/Iran Project, and in o<strong>the</strong>r countries (Table 1).<br />

Table 1. Countries and regions where decentralized barley breeding has been initiated.<br />

Country/Region Countries/Area Status<br />

North Africa Egypt, Libya, Tunisia, Algeria, Morocco Fully implemented<br />

Iraq (Baghdad) Central Iraq Fully implemented<br />

Iraq (Mosul) Nor<strong>the</strong>rn Iraq Fully implemented<br />

East Africa/Red Sea Yemen, Eritrea, Tigray First crosses made in 1998<br />

Ethiopia Ethiopia (except Tigray)<br />

Use <strong>of</strong> local landraces fully implemented, first<br />

crosses in 1998.<br />

Central Asia First special nursery in 1997<br />

Turkey First nursery planned for 1999<br />

Cyprus Cyprus First special nursery in 1995, first crosses in 1998<br />

Far East India, Thailand, Vietnam, China First special nursery in 1996, first crosses in 1997<br />

Pakistan Pakistan First special nursery in 1997<br />

Gulf Countries S. Arabia, Qatar, Oman First crosses made in 1992<br />

Ecuador Ecuador First nursery planned for 2006<br />

The project in Latin America has been successful in developing useful germplasm adopted by <strong>the</strong><br />

programs in <strong>the</strong> main target area, as well as in some o<strong>the</strong>r regions worldwide. In Ecuador, all <strong>the</strong><br />

commercial varieties are directly released from material received from Mexico, or were derived<br />

from crosses made with that germplasm, and selected in <strong>the</strong> country. In Uruguay, Brazil and<br />

México, germplasm has been intensively used as a source <strong>of</strong> disease resistance as well as to<br />

improve agronomic types. The same situation occurred with several <strong>of</strong> <strong>the</strong> most planted varieties<br />

released in Peru in <strong>the</strong> last 25 years. According to information received from China (Dr.<br />

Zhonghu He, CIMMYT representative in China, personal communication), <strong>the</strong> area planted to<br />

barley in 2000 with germplasm developed by <strong>the</strong> program (ei<strong>the</strong>r direct introduction or varieties<br />

derived from past introductions) account for 40% <strong>of</strong> <strong>the</strong> one million hectares cultivated to barley<br />

in <strong>the</strong> country. The key traits for a successful variety in that region is <strong>the</strong> resistance to FHB,<br />

tolerance to barley yellow mosaic virus (BYMV) and consistent high yield potential.<br />

The strategy used to incorporate leaf rust resistance into Shyri, a variety released in Ecuador,<br />

may explain <strong>the</strong> durability <strong>of</strong> <strong>the</strong> resistance obtained. The virulence present in that country is<br />

capable <strong>of</strong> overcoming all major resistance genes (Brodny and Rivadeneira, 1996). Shyri was<br />

released in 1989 with low symptoms for leaf rust. After two years a race was able to overcome<br />

<strong>the</strong> major gene located on chromosome 1 <strong>of</strong> <strong>the</strong> variety (Toojinda et al., 2000), however it<br />

- 44 -


Session 2: Pathology and Entomology – Oral presentations<br />

produced reasonable yield despite <strong>the</strong> presence <strong>of</strong> symptoms on leaves late in <strong>the</strong> season. In 1991<br />

Ochoa concluded that Shyri had partial resistance that delays disease development.<br />

In Stripe rust, <strong>the</strong> collaboration with Oregon State University has been fundamental to<br />

understand <strong>the</strong> genetics <strong>of</strong> resistance and create germplasm which pyramids resistance genes<br />

from different sources. Using resistance sources as Shyri, Calicuchima (a variety also released in<br />

Ecuador) and CI10587, mapping studies determined that resistance QTLs were present in <strong>the</strong><br />

chromosome 1H in Shyri, 4H and 5H in Calicuchima and a major gene was present at <strong>the</strong> 7H in<br />

CI10587 (Picture 1). The importance <strong>of</strong> this type <strong>of</strong> study was evident when new resistance<br />

patterns were observed in Peru and Ecuador after <strong>the</strong> year 2000. After more than 15 years <strong>of</strong> no<br />

observed changes, several well known resistant lines appeared as susceptible in that region. The<br />

pyramided germplasm allowed us to determine that <strong>the</strong> resistance QTLs and major gene present<br />

at chromosomes 4H, 5H and 7H were susceptible to that putative new race <strong>of</strong> <strong>the</strong> disease, while<br />

<strong>the</strong> QTL at Chromosome 1H (from Shyri) was still holding resistance. All <strong>the</strong> germplasm<br />

developed by OSU was planted in those countries, and are expected to collaborate in <strong>the</strong><br />

development <strong>of</strong> varieties that still are resistant in <strong>the</strong> region. Although in North America <strong>the</strong> old<br />

sources still appear as resistant, it is expected that, like has occurred in <strong>the</strong> past, <strong>the</strong> possible new<br />

race would come to <strong>the</strong> region and change <strong>the</strong> resistance patterns <strong>of</strong> <strong>the</strong> varieties present <strong>the</strong>re<br />

also.<br />

Picture 1.<br />

Pedigree developed by Patrick Hayes, Oregon State University.<br />

- 45 -


Session 2: Pathology and Entomology – Oral presentations<br />

Ano<strong>the</strong>r example <strong>of</strong> progress in <strong>the</strong> fight against disease losses has been <strong>the</strong> case <strong>of</strong> FHB. When<br />

FHB epidemics occurred in <strong>the</strong> Midwestern US after 1993, <strong>the</strong> barley program at México had<br />

already been working in that disease for several years. That allowed <strong>the</strong> main source <strong>of</strong><br />

resistance to become available to <strong>the</strong> US programs that were re-starting <strong>the</strong>ir work with FHB.<br />

Several well-known resistance sources like Atahualpa, Shyri, Gobernadora, etc. were rapidly<br />

introgressed into <strong>the</strong> programs. At present, <strong>the</strong> collaboration is in a more formal fashion, through<br />

<strong>the</strong> USWBSI. This has allowed <strong>the</strong> testing <strong>of</strong> high numbers <strong>of</strong> genotypes every year and<br />

participation in <strong>the</strong> testing network at different locations allows confirmation and sharing <strong>of</strong> <strong>the</strong><br />

resistance observed. In <strong>the</strong> Table 2 we can see some lines developed through <strong>the</strong> agreement with<br />

BARI that have had <strong>the</strong>ir resistance confirmed at several locations.<br />

In recent studies <strong>of</strong> <strong>the</strong> resistance sources for scald used in <strong>the</strong> program, slow-scalding resistance<br />

(S-SR) appeared to be present in <strong>the</strong> core material released by <strong>the</strong> program. Little was known<br />

about <strong>the</strong> inheritance <strong>of</strong> S-SR. Studies carried out by B. Sorkhilalehloo et al. (2001, 2004)<br />

showed indications <strong>of</strong> incomplete dominance for that trait and additive variance was <strong>the</strong> major<br />

portion <strong>of</strong> total genetic variance for S-SR. The estimates <strong>of</strong> narrow-sense heritability <strong>of</strong> S-SR<br />

were quite high (0.80-0.98). Such resistance genes with additive effects and high heritabilities,<br />

should support successful phenotypic selections for S-SR in early generations, and are promising<br />

for pyramiding resistance genes for achieving stable resistance against barley scald using backcrossing<br />

methodology. The results also showed that none <strong>of</strong> <strong>the</strong> barley genotypes were immune<br />

against all <strong>the</strong> isolates used in <strong>the</strong> study. However, <strong>the</strong> cluster <strong>of</strong> “highly resistant” genotypes<br />

contained barleys resistant to <strong>the</strong> majority <strong>of</strong> <strong>the</strong> pathotypes among which <strong>the</strong>re was some<br />

malting, hulless, slow-scalding, and differential lines as promising potential sources <strong>of</strong> stable<br />

resistance to scald.<br />

The more than 20-year collaboration with <strong>the</strong> FCDC in Alberta, focusing on scald resistance and<br />

o<strong>the</strong>r diseases, has allowed both programs to develop germplasm resistant to all <strong>the</strong> regionally<br />

important diseases. New combinations <strong>of</strong> resistance genes have been found, with some lines<br />

containing resistance to 5 and 6 diseases. Helm et al. (2004) determined that <strong>the</strong>se gene<br />

combinations for scald resistance should give durable resistance in Canada and México. The<br />

classification <strong>of</strong> breeding lines according to resistance genes combinations is currently under<br />

pedigree analysis to determine <strong>the</strong> relationship for sources <strong>of</strong> resistance genes. Some <strong>of</strong> <strong>the</strong> lines<br />

from <strong>the</strong> collaborative program also showed high level <strong>of</strong> resistance to FHB in Mexico, Canada,<br />

USA and China.<br />

- 46 -


Session 2: Pathology and Entomology – Oral presentations<br />

Table 2. Sample <strong>of</strong> 6-row barley lines with mating quality parents and higher levels <strong>of</strong> resistance to FHB and o<strong>the</strong>r diseases and desirable agronomic traits.<br />

Entry Cross FHB P.hodei Protein Yield PS*<br />

(%) (%) (%) (%) (1-5) (0-5) (Cobbs) (%) (t/ha) (1-5)<br />

Type I Type II Type I<br />

Hangzhou Toluca Toluca Toluca ND Brandon Obregón Obregón Obregón Mean<br />

2004 2004 2004 2003 2004 2004 2004 2004 2004<br />

254 6B89.2027/CHAMICO 5.9 3.0 2.5 0.15 R 13.7 5.4 4.25<br />

77 LEGACY//PENCO/CHEVRON-BAR 2.3 4.4 1.52 3 2.5 60S 11.0 8.1 1.75<br />

148 LEGACY/3/SVANHALS-BAR/MSEL//AZAF/GOB24DH 8.2 2.0 10.3 0.64 R 14.6 3.9 2.50<br />

147 LEGACY/3/SVANHALS-BAR/MSEL//AZAF/GOB24DH 11.1 1.4 4.1 1.32 R 14.3 4.3 3.00<br />

55 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 6.3 1.7 4.0 0.38 1 1.5 R<br />

11.4 6.8 2.25<br />

53 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 5.3 1.4 3.9 0.13 2 4 R<br />

11.3 6.4 3.00<br />

54 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 1.1 4.1 1.09 1 2 R 12.7 6.0 2.75<br />

60 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 1.0 13.3 1.71 1 2.5 R<br />

11.7 5.8 4.50<br />

65 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 2.3 6.0 2.14 1 3 R 12.0 6.5 3.25<br />

73 LEGACY/4/TOCTE//GOB/HUMAI10/3/ATAH92/ALELI 0.8 4.0 1.80 1 3 R 10.9 6.0 3.00<br />

CHEVRON 3.4 1 1.5<br />

STANDER 9.6 5.15 13.94 3 3 80S 13.0 4.6 3.0<br />

LEGACY 13.2 6.32 60S 13.0 5.5 3.0<br />

PS = Phenotypic Score 1 = Best; 5 = Worst<br />

- 47 -


Conclusions<br />

Session 2: Pathology and Entomology – Oral presentations<br />

Giving support to research programs and producers in developing countries raises challenges that<br />

sometimes are not only technical. Despite historical fluctuations in resources available for<br />

research, <strong>the</strong> system implemented has been successful in deploying germplasm and products<br />

highly demanded by <strong>the</strong> customers – ei<strong>the</strong>r NARs in developing countries or producers in those<br />

areas. Successful strategies have to be flexible and adapted to <strong>the</strong> different and highly variable<br />

target areas, and academic recipes most <strong>of</strong>ten cannot be directly applied.<br />

The results obtained would have been impossible to reach without <strong>the</strong> close collaboration with<br />

<strong>the</strong> NARs as well as <strong>the</strong> ARIs worldwide. Sometimes <strong>the</strong> roles <strong>of</strong> our international research<br />

programs were to serve as catalysts and facilitators for cooperation among <strong>the</strong>se groups. The<br />

unique situation created by <strong>the</strong> links and networks has allowed <strong>the</strong> confirmation <strong>of</strong> <strong>the</strong> results<br />

found in one location and around <strong>the</strong> world, an approach that is now being validated with o<strong>the</strong>r<br />

working groups from developed countries (e.g. USWBSI). In addition to <strong>the</strong> developing areas <strong>of</strong><br />

<strong>the</strong> world, <strong>the</strong> products obtained have also been beneficial to <strong>the</strong> ARIs and programs present in<br />

developed countries.<br />

References<br />

Anonymous (1984). Control de la roya amarilla y parda en cebada. Colombia, 1975-84.<br />

Programa Nacional de Cereales Menores, Intituto Colombiano Agropecuario, Bogota,<br />

Colombia.<br />

Brodny, U. and M. Rivadeneira. 1996. <strong>Canadian</strong> Journal <strong>of</strong> Plant Pathology 18:375-378.<br />

Helm, J.H., H. Vivar, F. Capettini, K. Xi, P. Juskiw, J. Zantinge. 2004. Multiple disease<br />

resistance in barley. In Agronomy Abstracts. 2004 ASA-CSSA-SSSA International Annual<br />

Meetings with <strong>the</strong> <strong>Canadian</strong> Society <strong>of</strong> Soil Science Seattle, Washington - Oct 31 - Nov 4,<br />

2004.<br />

Parleviet, J.E. and H.J. Kuiper. 1977. Neth. J. Plant Pathol. 83:85-89.<br />

Simmonds, N.W. 1984. Principles <strong>of</strong> crop improvement. Longman, London and New York, pp.<br />

408.<br />

Sharp, E.L. and M. Reinhold. 1982. Plant Disease 66:1012-1013.<br />

Sorkhilalehloo B., J.P. Tewari, F. Capettini, T.K. Turkington, K.G. Briggs, B. Rossnagel, and<br />

R.P. Singh. 2004. Genetical components <strong>of</strong> resistance in slow-scalding genotypes <strong>of</strong> barley:<br />

Implications for breeders and pathologists. Presented at <strong>the</strong> PPSA 2004, Lacombe, Canada.<br />

Sorkhilalehloo, B., J. P. Tewari, T. K. Turkington, F. Capettini, K. G. Briggs, B. Rossnagel, and<br />

R. P. Singh. 2001. Slow-scalding in barley, a novel strategy for disease management. Can. J.<br />

<strong>of</strong> Plant Path. 23(2):190.<br />

Takeda, K., and H. Heta. 1989. Establishing <strong>the</strong> testing method and a search for resistant<br />

varieties to Fusarium head blight in barley. Japan. J. Breed. 39:203–216.<br />

Toojinda, T., L.H. Broers, X.M. Chen, P.M. Hayes, A. Kleinh<strong>of</strong>s, J. Korte, D. Kudrna, H. Leung,<br />

R.F. Line, W. Powell, L. Ramsay, H. Vivar and R. Waugh. 2000. Mapping quantitative and<br />

qualitative disease resistance genes in a doubled haploid population <strong>of</strong> barley (Hordeum<br />

vulgare). Theoretical and Applied Genetics 101:580-589.<br />

Vales M. I., C. C. Schön, F. Capettini, X. M. Chen, A. E. Corey, D. E. Ma<strong>the</strong>r, C. C. Mundt, K.<br />

- 48 -


Session 2: Pathology and Entomology – Oral presentations<br />

L. Richardson, J. S. Sandoval-Islas, H. F. Utz, P. M. Hayes. 2005. Effect <strong>of</strong> population size<br />

on <strong>the</strong> estimation <strong>of</strong> barley stripe rust QTL. Theoretical and Applied Genetics. On press.<br />

Vivar, H.E. 1986. Cereal Improvement Program. ICARDA Annual Report.<br />

Vivar, H.E. 2000. Building multiple disease resistance in a high yielding platform. In.<br />

<strong>Proceedings</strong> <strong>of</strong> <strong>the</strong> 8 th International <strong>Barley</strong> Genetics <strong>Symposium</strong>. Adelaide Convention<br />

Center, October 22-27 2000.<br />

Webster, R.K., L.F. Jackson and C.W. Schaller. 1980. Plant Disease 64:88-90.<br />

- 49 -


Session 2: Pathology and Entomology – Oral presentations<br />

Differential response <strong>of</strong> barley cultivars and accessions to Rhynchosporium<br />

secalis under field conditions<br />

Turkington, T.K. (1), and Xi, K. (2)<br />

1: Lacombe Research Centre/Beaverlodge Research Farm, Agriculture and Agri-Food Canada, Lacombe, AB, T4L 1W1.<br />

turkingtonk@agr.gc.ca<br />

2: Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, C/O Lacombe Research Centre,<br />

Agriculture and Agri-Food Canada, Lacombe, AB, T4L 1W1<br />

Introduction<br />

To ensure an adequate supply <strong>of</strong> feed many farmers grow barley continuously for several years,<br />

and <strong>of</strong>ten it is <strong>the</strong> same cultivar year-after-year. However, continuous production <strong>of</strong> <strong>the</strong> same<br />

resistant barley cultivar places substantial selection pressure on <strong>the</strong> scald pathogen,<br />

Rhynchosporium secalis [Oudem.] J.J. Davis. Research has shown that <strong>the</strong>re is a tremendous<br />

amount <strong>of</strong> diversity in <strong>the</strong> scald pathogen and <strong>the</strong>refore potential for rapid changes in <strong>the</strong><br />

prevalent genotypes <strong>of</strong> <strong>the</strong> pathogen in response to <strong>the</strong> barley cultivars being grown, with some<br />

scald races having <strong>the</strong> ability to attack ei<strong>the</strong>r individually or in combination several known<br />

sources <strong>of</strong> resistance (Tekauz 1991; Xi et al. 2002, 2003). A recent study demonstrated that<br />

barley cultivar rotation can be a potential short-term strategy to help reduce leaf disease levels<br />

and maintain crop productivity for Alberta barley producers where crop rotation options are<br />

limited due to feed requirements or market factors (Turkington et al. 2005). One <strong>of</strong> <strong>the</strong> cultivars<br />

used in <strong>the</strong> study, Kasota has maintained a relatively high level <strong>of</strong> resistance to <strong>the</strong> scald<br />

pathogen over a number <strong>of</strong> sites and years in Alberta (Xi et al. 2003). However, in <strong>the</strong> cultivar<br />

rotation study, although not statistically significant, <strong>the</strong>re was a tendency for greater scald<br />

severity when Kasota was grown continuously under barley cultivar monoculture (BCM)<br />

compared to its production under barley cultivar rotation or in rotation with triticale. Scald<br />

severity on Kasota was very low (


Materials and methods<br />

Session 2: Pathology and Entomology – Oral presentations<br />

Thirty-three barley accessions and cultivars with major resistance genes were studied for <strong>the</strong>ir<br />

differential reactions to R. secalis (Table 1). The 4 scald pathotypes used were derived from<br />

single spores collected from infected leaf material from each <strong>of</strong> <strong>the</strong> barley cultivars Kasota,<br />

Seebe, CDC Earl and Harrington collected from several experimental sites. Fertilizer applied to<br />

<strong>the</strong> experimental area consisted <strong>of</strong> 202 kg/ha <strong>of</strong> 13-22-22-0, which was broadcast and<br />

incorporated into worked pea stubble. Hill plots, consisting <strong>of</strong> 8-10 seeds planted in a single<br />

hole on 0.5 m centers, were arranged in a 4-replicate RCBD for each pathotype. Each pathotype<br />

trial was seeded a minimum <strong>of</strong> 15 m from ano<strong>the</strong>r. Weed control was accomplished 8 June,<br />

2004 with a tank mix <strong>of</strong> Refine Extra ® at 20 g/ha and Puma Super ® at 360 mL/ha. Scald<br />

inoculum was prepared from 2-3 week old cultures grown on lima bean agar. Culture plates<br />

were scraped using reverse-osmosis water and a hand-held battery operated toothbrush. The<br />

spore concentration was adjusted to 10 5 spores/ml and 2.5 L <strong>of</strong> inoculum for each pathotype was<br />

applied as a fine mist using a compressed air sprayer on 14 June and 28 June, 2004. After spores<br />

were sprayed onto hills, <strong>the</strong> cut up agar from <strong>the</strong> scraped plates from each pathotype was<br />

uniformly placed on <strong>the</strong> respective hills. Hills were rated for percent leaf area diseased (PLAD)<br />

using a 0-9 scale (0 = no disease in <strong>the</strong> lower, middle and upper canopy, 9 = >50% leaf area<br />

diseased in lower, middle and upper canopy) on 5 August, 2004.<br />

An analysis <strong>of</strong> variance <strong>of</strong> <strong>the</strong> data was conducted separately for each pathotype using <strong>the</strong> PROC<br />

MIXED procedure <strong>of</strong> SAS, with block as a random effect and cultivar as a fixed effect (Littel et<br />

al. 1996). For significant effects LSD values were derived to allow for fur<strong>the</strong>r exploration <strong>of</strong><br />

treatment differences. Treatment effects were declared significant at P ≤ 0.05. A rating index<br />

was also derived from <strong>the</strong> mean cultivar ratings for each pathotype. Absolute differences in<br />

ratings were <strong>the</strong>n calculated among all pathotype combinations and <strong>the</strong>n summed for each<br />

cultivar to derive <strong>the</strong> rating index. A rating index <strong>of</strong> 0 indicated that <strong>the</strong> rating for a cultivar<br />

remained <strong>the</strong> same among <strong>the</strong> pathotypes tested; however increasing index values indicated that<br />

ratings changed from one pathotype to <strong>the</strong> next. Spearman’s rank correlations were calculated<br />

among <strong>the</strong> mean cultivar ratings for each <strong>of</strong> <strong>the</strong> pathotypes and were declared significant at<br />

P


Session 2: Pathology and Entomology – Oral presentations<br />

Table 1. Mean scald severity for barley accessions and Alberta cultivars, scald pathotype field<br />

study, Lacombe, Alberta, 2004.<br />

Pathotype and scald severity (0-9 scale)<br />

Accession/cultivar †<br />

Kasota Seebe CDC Earl Harrington Mean Rating index<br />

Abyssinian 2.5 2.8 2.3 3.0 2.6 2.5<br />

AC Harper 6.5 5.8 6.8 6.3 6.3 3.3<br />

AC Stacey 9.0 4.5 3.8 3.5 5.2 17.3<br />

API/CM67-B//AGER 8.3 6.5 6.5 5.5 6.7 8.3<br />

Atlas 9.0 4.0 3.8 4.3 5.3 16.0<br />

Atlas46 4.5 2.5 4.0 3.8 3.7 6.3<br />

Atlas68 6.5 4.0 6.3 4.8 5.4 9.0<br />

CDC Dolly 9.0 5.5 4.8 4.3 5.9 15.0<br />

CDC Earl 6.3 6.5 9.0 8.5 7.6 10.3<br />

Duke 5.5 5.5 7.5 7.5 6.5 8.0<br />

Falcon 7.0 6.8 5.5 5.8 6.3 5.5<br />

Gatillo-Bar 7.0 2.5 4.0 3.8 4.3 13.8<br />

Harrington 9.0 9.0 8.8 8.3 8.8 2.5<br />

Jaeger 6.8 4.8 8.8 7.5 6.9 12.8<br />

Johnston 5.8 4.8 6.0 4.8 5.3 4.8<br />

Kasota 8.8 4.3 3.8 3.5 5.1 16.3<br />

Kitchin 4.8 4.0 4.3 3.8 4.2 3.3<br />

Leduc 6.3 6.8 7.5 4.5 6.3 9.5<br />

Mahigan 8.8 3.8 4.3 4.0 5.2 15.3<br />

Manny 5.8 1.0 0.8 2.0 2.4 16.0<br />

Modoc 6.0 6.5 8.0 6.5 6.8 6.0<br />

Niobe 6.3 5.3 9.0 7.8 7.1 12.8<br />

Niska 8.5 7.5 4.3 5.8 6.5 14.5<br />

Osiris 3.8 1.5 3.0 2.5 2.7 7.3<br />

Peregrine 7.0 8.0 7.5 7.3 7.4 3.3<br />

Ponoka 8.5 5.0 3.8 3.8 5.3 15.5<br />

Seebe 3.5 3.3 3.3 2.5 3.1 3.0<br />

Shyri 3.8 3.8 3.5 3.8 3.7 0.8<br />

Trebi 7.3 6.5 7.3 7.3 7.1 2.3<br />

Trochu 7.8 6.5 8.0 6.5 7.2 5.8<br />

Turk 3.3 2.8 5.8 4.0 3.9 9.8<br />

Vivar 7.8 7.5 8.3 6.5 7.5 5.5<br />

LSD .05 1.1 1.5 1.3 1.1<br />

Mean pathotype severity 6.6 5.0 5.6 5.1<br />

†<br />

Hudson data not included due to winter growth habit. No symptoms occurred on Hudson with <strong>the</strong><br />

Kasota, Seebe, and CDC Earl pathotypes, while trace to low scald levels were observed for <strong>the</strong><br />

Harrington pathotype.<br />

- 52 -


Session 2: Pathology and Entomology – Oral presentations<br />

<strong>the</strong> Seebe pathotype. The lowest levels <strong>of</strong> scald were observed on Manny, Osiris, Gatillo-Bar,<br />

Atlas46, Turk, Abyssinian, Seebe, Mahigan, and Shyri, while <strong>the</strong> highest levels were observed<br />

on Harrington, Peregrine, Niska, and Vivar. All o<strong>the</strong>r cultivars and accessions had intermediate<br />

diseases levels. For <strong>the</strong> CDC Earl pathotype, Manny, Abyssinian, Osiris, Seebe, Shyri, Kasota,<br />

AC Stacey, Ponoka, and Atlas had <strong>the</strong> lowest disease levels, while CDC Earl, Niobe, Harrington,<br />

Jaeger, Vivar, Modoc, Trochu, Duke, Leduc, Peregrine, and Trebi had <strong>the</strong> highest. The<br />

remaining cultivars and accessions had intermediate levels <strong>of</strong> disease. For <strong>the</strong> Harrington<br />

pathotype <strong>the</strong> lowest levels <strong>of</strong> disease were observed on Manny, Seebe, Osiris, Abyssinian, AC<br />

Stacey, Kasota, Shyri, Ponoka, Kitchin, Gatillo-Bar, and Atlas46, while <strong>the</strong> highest levels were<br />

observed on CDC Earl, Harrington, Niobe, Duke, Jaeger, Peregrine, and Trebi. Intermediate<br />

scald levels were observed on <strong>the</strong> remaining cultivars and accessions.<br />

When averaged over <strong>the</strong> four separate pathotype experiments, cultivars Manny and Seebe had<br />

among <strong>the</strong> lowest scald severities, while Harrington, CDC Earl, Vivar, Peregrine, Trochu, Niobe,<br />

and Jaeger had among <strong>the</strong> highest levels <strong>of</strong> scald, while <strong>the</strong> remaining cultivars had intermediate<br />

disease levels. Of <strong>the</strong> accessions, Abyssinian, Shyri, Osiris, Atlas46 and Turk had among <strong>the</strong><br />

lowest disease severities, while API/CM67-B//AGER, Modoc, and Trebi had <strong>the</strong> highest scald<br />

levels. A greater potential for pathotype specific responses were indicated by <strong>the</strong> ranking index<br />

for a number <strong>of</strong> cultivars with higher index values, especially for AC Stacey, CDC Dolly,<br />

Kasota, Mahigan, Manny, and Ponoka. For example, AC Stacey, Kasota, Manny, and Ponoka<br />

tended to have <strong>the</strong> highest levels <strong>of</strong> disease with <strong>the</strong> Kasota pathotype, while CDC Earl, Duke<br />

and Niobe tended to have <strong>the</strong> highest rating when inoculated with ei<strong>the</strong>r <strong>the</strong> CDC Earl or<br />

Harrington pathotype. Accessions with <strong>the</strong> highest index values included Atlas, which tended to<br />

have <strong>the</strong> highest rating with <strong>the</strong> Kasota pathotype. Consistently low ratings over all pathotypes<br />

and lower rating index values occurred for Seebe, Shyri, Osiris, Abyssinian, and Kitchin, while<br />

consistently higher ratings and lower index values occurred for Harrington, Peregrine, and Trebi.<br />

Results from Spearman’s rank correlations suggested that <strong>the</strong>re may be an interaction between<br />

pathotype and cultivar. Confounding with location by cultivar interaction effects may be a<br />

potential concern; however, all four experiments were planted in <strong>the</strong> same experimental field and<br />

were only spaced 15 to 25 m apart. In addition, seedbed preparations, fertilizer, seeding<br />

methodologies, seeding date, and inoculation protocols were similar. Thus, cultivar differences<br />

were likely more a function <strong>of</strong> <strong>the</strong> interaction <strong>of</strong> pathotype by cultivar ra<strong>the</strong>r than location by<br />

cultivar. Cultivar reactions for <strong>the</strong> Kasota pathotype were not correlated (P>0.05) with those<br />

from <strong>the</strong> CDC Earl or Harrington pathotypes, while <strong>the</strong>re was a significant low-moderate<br />

correlation with reactions from <strong>the</strong> Seebe pathotype (P


Session 2: Pathology and Entomology – Oral presentations<br />

The current study identified <strong>the</strong> occurrence <strong>of</strong> R. secalis pathotypes with <strong>the</strong> ability to overcome<br />

some <strong>of</strong> <strong>the</strong> most effective sources <strong>of</strong> scald resistance present in commercially available barley<br />

cultivars grown in Alberta. Of particular concern was <strong>the</strong> Kasota pathotype which produced<br />

very susceptible field reactions on AC Stacey, CDC Dolly, Kasota, Mahigan, Niska, Ponoka,<br />

API/CM67-B//AGER, and Atlas. In addition, an increased rating was observed on Manny when<br />

inoculated with <strong>the</strong> Kasota pathotype, which is in contrast with o<strong>the</strong>r recent trials where Manny<br />

has maintained a very good reaction to scald. The scald rating on Seebe inoculated with <strong>the</strong><br />

Seebe pathotype was low in this trial, whereas o<strong>the</strong>r recent observations have shown <strong>the</strong><br />

occurrence <strong>of</strong> susceptible-type reactions for Seebe with o<strong>the</strong>r scald pathotypes derived from<br />

Seebe. Fur<strong>the</strong>r research with <strong>the</strong> Kasota and Seebe pathotypes and monitoring <strong>of</strong> Manny and<br />

Seebe reactions are underway. The CDC Earl pathotype produced very susceptible field<br />

reactions on CDC Earl, Jaeger, Modoc, Niobe, Trochu, and Vivar, while <strong>the</strong> Harrington<br />

pathotype produced susceptible reactions mainly on CDC Earl. The current study also<br />

demonstrated that Abyssinian, Atlas46, Atlas68, Gatillo-Bar, Hudson, Kitchin, Osiris, Shyri, and<br />

Turk may possess useful sources <strong>of</strong> resistance for future Alberta barley cultivars.<br />

Differential responses within and between pathotypes indicated potential compatible barley<br />

cultivar combinations that could be used as part <strong>of</strong> short-term cultivar rotation strategies for<br />

disease management. Cultivars that may have potential to produce low to moderate levels <strong>of</strong><br />

disease when grown in rotation with Kasota include Seebe, Duke, and Johnston, while AC<br />

Harper, CDC Earl, Leduc, and Niobe may also have some potential. Low to moderate disease<br />

levels may also be possible with Seebe in rotation with AC Stacey, Jaeger, Johnston, Mahigan,<br />

and Manny, while AC Harper, CDC Dolly, CDC Earl Duke, Niobe, Ponoka, and Trochu may<br />

also have some potential. O<strong>the</strong>r cultivars that may be useful in rotations with CDC Earl include<br />

AC Stacey, CDC Dolly, Mahigan, Manny, Niska, and Ponoka.<br />

Acknowledgements<br />

The authors graciously acknowledge <strong>the</strong> technical assistance <strong>of</strong> Denise Orr, Noryne Rauhala,<br />

Deb Clark, and Jackie Busaan. The generous funding <strong>of</strong> <strong>the</strong> Alberta <strong>Barley</strong> Commission and<br />

Agriculture and Agri-Food Canada’s Matching Investment Initiative program is also<br />

acknowledged.<br />

Literature cited<br />

Littel, R. C., Milliken, G. A., Stroup, W. W., and Wolfinger, R. D. 1996. SAS System for<br />

Mixed Models. SAS Institute, Cary NC. 656 pp.<br />

Tekauz, A. 1991. Pathogenic variation in Rhynchosporium secalis on barley in Canada. Can. J.<br />

Plant Pathol. 13: 298-304.<br />

Turkington, T.K., Xi, K., Tewari, J.P., Lee, H.K., Clayton, G.W., and Harker, K.N. 2005.<br />

Cultivar rotation as a strategy to reduce leaf diseases under barley monoculture. Can. J. Plant<br />

Pathol. 27: 283–290.<br />

Xi, K., Turkington, T.K., Helm, J.H., and Bos, C. 2002. Pathogenic variation <strong>of</strong><br />

Rhynchosporium secalis in Alberta. Can. J. Plant Pathol. 24: 176-183.<br />

Xi, K., Turkington, T.K., Helm, J.H., Briggs, K.G. and Tewari, J.P. 2003. Distribution <strong>of</strong><br />

Rhynchosporium secalis pathotypes and cultivar reaction on barley in Alberta. Plant Dis.<br />

87: 391-396.<br />

- 54 -


Session 2: Pathology and Entomology – Oral presentations<br />

Mapping genes for Russian wheat aphid resistance in barley<br />

Shipra Mittal 1 , Lynn Dahleen 2 and Dolores Mornhinweg 3<br />

1 Dept. <strong>of</strong> Plant Sciences, North Dakota State University, Fargo, ND 58105<br />

2 USDA-ARS, Nor<strong>the</strong>rn Crop Sciences Lab, Fargo, ND 58105<br />

3 USDA-ARS, Stillwater, OK 74075-2714<br />

Russian wheat aphid (RWA), Diuraphis noxia (Mordvilko), is one <strong>of</strong> <strong>the</strong> most serious pests <strong>of</strong><br />

grain crops. Russian wheat aphid infestations reduce grain yield and malting quality <strong>of</strong> barley.<br />

Since it was first identified in Texas in 1986, RWA has caused more than $1 billion in losses in<br />

<strong>the</strong> Western United States. Two Russian wheat aphid resistant spring barley germplasm lines,<br />

STARS-9301B and STARS-9577B, were developed by USDA-ARS, Stillwater, OK and<br />

released to breeders. Inheritance studies indicated that RWA resistance in STARS-9301B was<br />

controlled by two genes, one incompletely dominant and one dominant with epistatic effects.<br />

RWA resistance in STARS-9577B was suggested to be controlled by dominant alleles at two<br />

loci. The objectives <strong>of</strong> this project were to confirm <strong>the</strong> number and effect <strong>of</strong> genes for RWA<br />

resistance from <strong>the</strong> above mentioned lines, and to map <strong>the</strong>se genes. In a cooperative effort,<br />

allelism tests were conducted by <strong>the</strong> USDA-ARS, Stillwater, OK to determine <strong>the</strong> number <strong>of</strong> loci<br />

involved. STARS-9301B and STARS-9577B were each crossed to a susceptible spring barley<br />

cultivar, Morex, and generations advanced to produce two F2:3 populations. From each<br />

population, 196 families were used for mapping. Simple sequence repeat (SSR) markers were<br />

screened on <strong>the</strong> F2:3 populations. A genetic linkage map was constructed from <strong>the</strong> data with a<br />

LOD <strong>of</strong> score 3.00 for population developed from STARS-9301B by Morex cross. QTL analysis<br />

was conducted to determine <strong>the</strong> chromosomal locations and effects <strong>of</strong> genes involved in RWA<br />

resistance using MapManager QTX. Two major QTL were found on 1H and 3H chromosome.<br />

Work for STARS-9577B is in progress. The genes located for Russian wheat aphid resistance in<br />

STARS-9301B and STARS-9577B can be incorporated in to breeding programs where <strong>the</strong>se<br />

genes can be transferred to susceptible varieties using linked molecular markers to achieve<br />

resistance towards Russian wheat aphid.<br />

- 55 -<br />

Corresponding author: Lynn Dahleen<br />

Email: dahleenl@fargo.ars.usda.gov


Session 2: Pathology and Entomology – Oral presentations<br />

Sequence tagged site markers linked to Septoria speckled leaf blotch<br />

resistance genes in barley (Hordeum vulgare L.)<br />

S.H. Lee and S.M. Neate<br />

North Dakota State University, Dept. Plant Pathology, Fargo, ND 58105<br />

Septoria speckled leaf blotch (SSLB) caused by <strong>the</strong> pathogen Septoria passerinii is a common<br />

and important leaf disease in barley in <strong>the</strong> Upper Midwest and adjacent <strong>Canadian</strong> provinces. The<br />

disease was severe in <strong>the</strong> 1950s in <strong>the</strong> north-central region <strong>of</strong> <strong>the</strong> United States and Prairie<br />

Provinces <strong>of</strong> Canada (Buchannon 1961; Green and Dickson 1957), with yield losses <strong>of</strong> 23-38%<br />

reported in Canada (Green and Bendelow, 1961). Recent yield losses due to SSLB reported by<br />

Toubia-Rahme and Steffenson (1999) are similar to those previously reported in Canada. The<br />

importance <strong>of</strong> SSLB is increased fur<strong>the</strong>r due to its effects on grain quality such as reduced kernel<br />

size and malting quality (Green and Bendelow, 1961). All <strong>of</strong> <strong>the</strong> major malting and feed barley<br />

cultivars in <strong>the</strong> Upper Midwest region are susceptible to this pathogen. Development <strong>of</strong> resistant<br />

cultivars is <strong>the</strong> preferred method to prevent SSLB epidemics. Thus, it is necessary to map <strong>the</strong><br />

genes controlling <strong>the</strong> resistance and develop molecular markers for use in screening breeding<br />

lines.<br />

To date, three SSLB resistance loci designated Rsp1, Rsp2, and Rsp3 have been identified in<br />

CIho14300, CIho4780, and CIho10644 respectively (Rasmusson and Rogers, 1963). The genes,<br />

Rsp2 and Rsp3, are closely linked with about 3.8% recombination (Rasmusson and Rogers,<br />

1963). The molecular mapping work for resistance genes has been published on Rsp2 and Rsp3<br />

(Zhong et al. 2002). Two AFLP markers linked to Rsp2 were developed and mapped on <strong>the</strong> short<br />

arm <strong>of</strong> chromosome 1H(5). Information on map location and molecular markers for Rsp1 is still<br />

lacking. In addition, <strong>the</strong> AFLP technique has limited use in marker assisted selection (MAS)<br />

because it is laborious, time consuming, expensive, and technically difficult (Neil et al., 1997).<br />

Thus, <strong>the</strong> aim <strong>of</strong> this research was to identify randomly amplified polymorphic DNA (RAPD)<br />

markers linked to Rsp genes and convert <strong>the</strong>m into sequence tagged site (STS) markers so that<br />

marker assisted selection (MAS) can be used to develop SSLB resistant cultivars in barley.<br />

We developed six mapping populations by crossing <strong>the</strong> susceptible cultivars, Robust and Foster,<br />

with <strong>the</strong> resistant lines, CIho14300 (Rsp1), CIho4780 (Rsp2), and CIho10644 (Rsp3). Robust<br />

comes from <strong>the</strong> Minnesota barley breeding program and its pedigree is Morex x Manker and<br />

Foster comes from <strong>the</strong> North Dakota breeding program and its pedigree is Robust/6/Glenn/4/<br />

Nordic//Dickson/Trophy/3/Azure/5/Glenn/Karl. F1 plants were selfed to obtain between 100 and<br />

120 F2 plants. SSLB phenotypes were evaluated in F2 plants and F2.3 families at <strong>the</strong> seedling and<br />

adult stage in <strong>the</strong> greenhouse and in <strong>the</strong> field. Segregation analysis for Rsp1, Rsp2, and Rsp3<br />

genes in two F2 populations <strong>of</strong> seedlings in <strong>the</strong> greenhouse showed an approximate segregation<br />

ratio <strong>of</strong> 3 resistant:1 susceptible in both genetic backgrounds (Table 1). This was confirmed in<br />

analysis <strong>of</strong> <strong>the</strong> F2:3 families from Robust x CIho 14300, Robust x CIho 4780, and Robust x CIho<br />

10644 grown in <strong>the</strong> greenhouse and field at Langdon and Osnabrock, ND (Table 2).<br />

- 56 -


Session 2: Pathology and Entomology – Oral presentations<br />

Table 1. Segregation analysis for Septoria Speckled Leaf Blotch resistance genes Rsp1, Rsp2,<br />

and Rsp3 in F2 populations derived from two susceptible cultivars (Robust and Foster) and three<br />

resistant lines (CIho14300, CIho4780, CIho10644).<br />

Cross<br />

Female (S) x Male (R)<br />

Genes Resistant plants Susceptible plants Expected ratio χ 2<br />

Foster x CIho 14300 Rsp1 93 25 3 : 1 0.92 0.34<br />

Robust x CIho 14300 Rsp1 74 29 3 : 1 0.55 0.46<br />

Foster x CIho 4780 Rsp2 93 27 3 : 1 0.40 0.53<br />

Robust x CIho 4780 Rsp2 85 23 3 : 1 0.79 0.37<br />

Foster x CIho 10644 Rsp3 82 32 3 : 1 0.57 0.45<br />

Robust x CIho 10644 Rsp3 83 32 3 : 1 0.49 0.48<br />

a P < 0.05 = significant deviation from <strong>the</strong> expected segregation ratio, P > 0.05 = fit to <strong>the</strong> expected segregation ratio <strong>of</strong> <strong>the</strong> F2 population<br />

Table 2. Segregation analysis for Rsp1, 2, and 3 genes in F2:3 families derived from Robust ×<br />

CIho14300, Robust × CIho4780, and Robust × CIho 10644.<br />

Cross Location Plant stages RR b<br />

Robust x<br />

CIho14300<br />

Robust x<br />

CIho4780<br />

Robust x<br />

CIho10644<br />

Langdon a<br />

Osnabrock a<br />

Rr rr Expected ratio χ 2<br />

Adult 18 44 28 1:2:1 2.27 0.32<br />

Adult 19 46 25 1:2:1 0.84 0.66<br />

Greenhouse Seedling 18 50 21 1:2:1 1.56 0.46<br />

Langdon a<br />

Osnabrock a<br />

Adult 25 49 26 1:2:1 0.06 0.97<br />

Adult 31 51 18 1:2:1 3.42 0.18<br />

Greenhouse Seedling 28 57 27 1:2:1 0.05 0.97<br />

Langdon a<br />

Osnabrock a<br />

Adult 25 53 27 1:2:1 0.09 0.96<br />

Adult 21 51 33 1:2:1 2.83 0.24<br />

Greenhouse Seedling 21 52 27 1:2:1 0.88 0.64<br />

a Name <strong>of</strong> field location in ND, USA<br />

b RR: Homozygous resistant, Rr: Heterozygous resistant, rr: Homozygous susceptible.<br />

c P < 0.05 = significant deviation from <strong>the</strong> expected segregation ratio, P > 0.05 = fit to <strong>the</strong> expected segregation ratio <strong>of</strong> <strong>the</strong> F2:3 population<br />

To develop molecular markers linked to Rsp genes, 480 10-mer RAPD primers (200 from<br />

University <strong>of</strong> British Columbia, and 280 from Operon Technologies Inc.) were used to screen<br />

polymorphisms between <strong>the</strong> two different DNA bulks from resistant and susceptible F2 plants,<br />

and between two susceptible parents and three resistant parents. The RAPD primers that showed<br />

a specific polymorphism between a resistant and susceptible bulk were selected to determine <strong>the</strong><br />

genetic linkage between SSLB resistance genes and markers. Three RAPD markers,<br />

UBC285158R, OPAH5545C, and OPBA12314C, associated with Rsp genes, were identified using<br />

bulked segregant analysis in populations <strong>of</strong> 100-120 F2 individuals. Linkage analysis revealed<br />

RAPD markers UBC285158 (3.8±1.1cM) in repulsion linked to Rsp1, RAPD marker OPAH5545C<br />

(0.9±1.3) in coupling linked to Rsp2, and RAPD marker OPBA12314 (2.4cM) in coupling linked<br />

to Rsp3. A repulsion phase <strong>of</strong> dominant marker, UBC285158R, for Rsp1 and two coupling phase<br />

<strong>of</strong> dominant markers, OPAH5545C for Rsp2 and OPBA12314C for Rsp3, showed <strong>the</strong> expected<br />

segregation ratio 1 resistant:3 susceptible and 3 resistant:1 susceptible in F2 plants (Table 3).<br />

For high reproducibility and ease to use, RAPD markers associated with Rsp genes were<br />

converted into sequence-tagged site (STS) markers, Rsp1158R, Rsp2545C, and Rsp3314C, (Figure 1).<br />

- 57 -<br />

PP<br />

PP<br />

c<br />

a


Session 2: Pathology and Entomology – Oral presentations<br />

Table 3. Chi-square test <strong>of</strong> segregation ratios with RAPD markers linked to Rsp genes in F2<br />

populations derived from two susceptible cultivars (Robust and Foster) and three resistant lines<br />

(CIho14300, CIho4780, CIho10644).<br />

Cross<br />

Female(S) x Male(R)<br />

Genes RR a<br />

Rr rr<br />

Expected<br />

segregation<br />

χ 2<br />

PP<br />

b Genetic c distance<br />

(cM)<br />

Robust x CIho14300 Rsp1 UBC285158R 22 81 25.75:77.25 0.55 0.46 3<br />

Foster x CIho14300 Rsp1 UBC285158R 25 91 29:87 0.74 0.39 4.5<br />

Robust x CIho4780 Rsp2 OPAH5545C 75 25 75:25 0 1 0<br />

Foster x CIho4780 Rsp2 OPAH5545C 93 27 90:30 0.28 0.6 1.8<br />

Robust x CIho10644 Rsp3 OPBA12314C 84 29 84.75:28.25 0.03 0.87 2.4<br />

a RR: Homozygous resistant, Rr: Heterozygous resistant, rr: Homozygous susceptible.<br />

b P < 0.05 = significant deviation from <strong>the</strong> expected segregation ratio, P > 0.05 = fit to <strong>the</strong> expected segregation ratio <strong>of</strong> <strong>the</strong> F2 population<br />

c Genetic distances (cM) were analysed by MAPMAKER, LOD>3.0.<br />

500bp<br />

400bp<br />

300bp<br />

300bp<br />

200bp<br />

100bp<br />

M<br />

M<br />

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 M<br />

M 1 2 3 4 5 6 7 8 9 10<br />

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 M<br />

A<br />

C<br />

500bp<br />

400bp<br />

300bp<br />

200bp<br />

100bp<br />

500bp<br />

400bp<br />

300bp<br />

200bp<br />

100bp<br />

M 1 2 3 4 5 6 7 8 9 10<br />

11 12 13 14 15 M<br />

11 12 13 14 15 M<br />

Fig. 1 Identification <strong>of</strong> polymorphisms associated with SSLB resistance genes, Rsp2 and Rsp3, using RAPD<br />

markers (A) OPBA12314C and (C) UBC285158R. The RAPD markers were converted into sequence tagged site (STS)<br />

markers, (B) Rsp3314C and (C) Rsp158R. Lanes are as follows: (A), (B), and (D) = M, DNA size markers in bp; 1,<br />

resistant parent CIho10644 (A and D) and CIho14300 (D); 2, susceptible parent Robust; 3, susceptible parent Foster;<br />

4, F1 plant <strong>of</strong> Robust×CIho10644 (A and B) and Robust×CIho14300 (C); 5, F1 plant <strong>of</strong> Foster×CIho10644 (A and<br />

B) and Foster×CIho14300 (C); 6 through 10, F2 resistant plants; 11 through 15, F2 susceptible plants. (C) = M, DNA<br />

size markers in bp; 1, susceptible parent Robust; 2, susceptible parent Foster; 3, resistant parent CIho14300; 4, F1<br />

plant <strong>of</strong> Robust×CIho14300; 5, F1 plant <strong>of</strong> Foster×CIho14300; 6 through 15, F2 susceptible plants; 16 through 24, F2<br />

resistant plants.<br />

To determine <strong>the</strong> existence <strong>of</strong> STS markers linked to Rsp genes, 21 resistant and 16 susceptible<br />

barley lines identified as resistant or susceptible by Toubia-Rahme and Steffenson (2004) were<br />

evaluated (Table 4). It is not known which resistance genes are present in <strong>the</strong>se lines. Two STS<br />

markers, Rsp1158R in repulsion and Rsp2545C in coupling showed <strong>the</strong> expected presence or<br />

absence <strong>of</strong> bands in resistant lines. However, unexpected results were obtained in 7/18<br />

(Rsp1158R) and 9/18 (Rsp2545C) susceptible lines. This may be due to our previous finding that <strong>the</strong><br />

markers are not within, but separated from <strong>the</strong> genes <strong>of</strong> interest. The STS marker Rsp3314C linked<br />

to Rsp3, amplified a band only in <strong>the</strong> four resistant lines, Bolron, Feebar, Flynn1, and Vaughn.<br />

The pedigree <strong>of</strong> CIho10644 containing Rsp3 is Feebar/Kindred. The pedigree <strong>of</strong> Feebar is<br />

Peatland/Vaughn, and <strong>the</strong> pedigree <strong>of</strong> Vaughn is Mariout/Leiorrhynchium or Club Mariout/Lion.<br />

Flynn also comes from a cross between Club Mariout/Lion and Flynn1 is a selection from Flynn.<br />

- 58 -<br />

B<br />

D


Session 2: Pathology and Entomology – Oral presentations<br />

Thus, <strong>the</strong> lines CIho10644, Feebar, Vaughn, and Flynn1 which gave a band with <strong>the</strong> STS marker<br />

Rsp3314C contain a genetic background with Rsp3 in one <strong>of</strong> <strong>the</strong> parents. This result gives hope<br />

that with fur<strong>the</strong>r testing <strong>the</strong> STS marker Rsp3314C can be effectively used in MAS to identify<br />

lines containing Rsp3. The o<strong>the</strong>r line testing positive to Rsp3314C, Bolron, is from a cross<br />

Bolivia/Chevron, and has a different genetic background. Bolivia and Chevron need to be tested<br />

with <strong>the</strong> STS marker Rsp3314C and allelism tests done to determine if <strong>the</strong>y contain Rsp3.<br />

Table 4. Validation <strong>of</strong> sequence-tagged site (STS) markers and reaction to SSLB for 24 resistant<br />

and 18 susceptible barley lines<br />

Cultivars/Lines<br />

Reaction STS marker<br />

a Atlas54<br />

to<br />

SSLB<br />

R<br />

Rsp1158R +<br />

Rsp2545C Rsp3314C b<br />

- -<br />

Atlas R + - -<br />

Bolron R - - +<br />

CIho4428 R - - -<br />

CIho4439 R + + -<br />

CIho6398 R - - -<br />

CIho9831 R - + -<br />

Custer R + - -<br />

Feebar R + - +<br />

Flynn1 R + - +<br />

Glacier R - - -<br />

Hor2683-84 R + + -<br />

Hor 9471-87 R - + -<br />

Nomini R - - -<br />

ND16092 R + + -<br />

PC11 R - + -<br />

PC84 R + + -<br />

Sp.No:1 R - - -<br />

Starling R - + -<br />

Sussex R - - -<br />

Vaughn R - - +<br />

Bowman S + + -<br />

Carlsberg S - - -<br />

CIho13581 S - + -<br />

CIho4753 S + + -<br />

CIho592 S - - -<br />

CIho0182 S - + -<br />

CIho2947 S + - -<br />

CIho8096 S - + -<br />

Heimdal S - + -<br />

Hiland S + + -<br />

Kindred S + - -<br />

Olli S - - -<br />

Supi 1 S + + -<br />

Trebi S + + -<br />

Velvon S + - -<br />

ZAU7 S + - -<br />

Robust S + - -<br />

Foster S + - -<br />

CIho14300 (Rsp1) R - - -<br />

CIho4780 (Rsp2) R + + -<br />

CIho10644 (Rsp3) R + - +<br />

a<br />

SSLB inoculation and disease assessment was taken as described by Toubia-Rahme and Steffenson (2004).<br />

R: resistant, S: susceptible.<br />

b<br />

Existence <strong>of</strong> alleles (+) and absence <strong>of</strong> alleles (-).<br />

- 59 -


Session 2: Pathology and Entomology – Oral presentations<br />

In future work, o<strong>the</strong>r RAPD markers linked to Rsp genes will be converted into STS markers,<br />

with emphasis on Rsp1 and Rsp2. The evaluation <strong>of</strong> selection effectiveness in F3 populations and<br />

<strong>the</strong> allelism test for Rsp genes with STS markers will be undertaken. The screening <strong>of</strong> o<strong>the</strong>r<br />

resistant sources for resistance genes to SSLB will be performed and validated with <strong>the</strong> STS<br />

markers associated with Rsp genes.<br />

References<br />

Buchannon, K.W. 1961. Inheritance <strong>of</strong> reaction to Septoria passerinii Sacc., and Pyrenophora<br />

teres (Died.) Drechsl., and <strong>of</strong> row number, in barley. Ph.D. <strong>the</strong>sis, University <strong>of</strong><br />

Saskatchewan, Saskatoon, Sask.<br />

Green, G. J. and Bendelow, V. M. 1961. Effect <strong>of</strong> speckled leaf blotch, Septoria passerinii Sacc.,<br />

on <strong>the</strong> yield and malting quality <strong>of</strong> barley. Can. J. Plant Sci. 41: 431-435.<br />

Green, G.J., and Dickson, J.G. 1957. Pathological histology and varietal reactions in Septoria<br />

leaf blotch <strong>of</strong> barley. Phytopathology, 47: 73–79.<br />

Neil, J., Helen, O. and Howard, T. 1997. Markers and Mapping: We are all geneticists now. New<br />

Phytologist 137(1):165-177.<br />

Rasmusson, D. C. and Rogers, W. E. 1963. Inheritance <strong>of</strong> resistance to Septoria in barley. Crop<br />

Sci. 3: 161-162.<br />

Toubia-Rahme, H., and Steffenson, B. J. 2004. Sources <strong>of</strong> resistance to septoria speckled leaf<br />

blotch caused by Septoria passerinii in barley. Can. J. Plant Pathol. 26: 358–364.<br />

Zhong, S., Toubia-Rahme, H., Steffenson, B. J. and Waugh, R. 2002. Molecular mapping <strong>of</strong><br />

Septoria speckled leaf blotch resistance in barley. Plant, Animal and Microbe Genomes. X.<br />

Poster. 22.<br />

- 60 -


Session 2: Pathology and Entomology – Poster abstracts<br />

PCR detection and quantification <strong>of</strong> Fusarium species<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles<br />

Crop Development Centre/Department <strong>of</strong> Plant Sciences, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon, SK<br />

S7N 5A8 Canada<br />

Fusarium head blight (FHB) is presently <strong>the</strong> most significant disease <strong>of</strong> barley in Canada and many<br />

areas <strong>of</strong> <strong>the</strong> world. FHB is caused by many Fusarium species and it is very difficult to correlate<br />

visual symptoms with deoxynivalenol (DON) concentration as symptomless kernels may carry <strong>the</strong><br />

pathogen. Conversely many blighted kernels may not be contaminated with DON. Symptoms may<br />

be caused by non-tricho<strong>the</strong>cene producing Fusarium species. Identification <strong>of</strong> Fusarium species<br />

based on morphological characteristics by growing on selective media is cumbersome and requires<br />

considerable expertise and experience. In addition DON estimation is slow, labour intensive and<br />

expensive and demand for this service outstrips supply. PCR-based assays to quantify fungal DNA<br />

in infected plant tissue could indirectly estimate DON levels. PCR assays have been standardized to<br />

detect Fusarium species with species–specific primers (reported by Parry and Nicholson 1996,<br />

Schilling et al. 1996, Nicholson et al. 1998, Yoder and Christianson 1998, Aoki and O'Donnell 1999,<br />

Williams et al. 2002) using 22 isolates <strong>of</strong> seven different Fusarium species. The protocol to detect F.<br />

graminearum associated with FHB symptoms produced under artificial and natural infections has<br />

been standardized. Primer-pair Fg16N amplified <strong>the</strong> desired band (280 bp) in all infected barley<br />

samples from a greenhouse experiment and no band was amplified from uninoculated and uninfected<br />

samples. The vast majority <strong>of</strong> samples from artificially and naturally infected samples from barley<br />

fields showed <strong>the</strong> desired band. Protocol to quantify F. graminearum DNA using a competitor DNA<br />

template (obtained from Dr. P. Nicholson, John Innes Centre, Norwich, UK) has been standardized.<br />

Fungal concentration ranging from 1 pg to 100 ng with a constant competitor DNA template<br />

concentration (1fg or 3fg/μl) was evaluated and fungal DNA concentration as low as 100 pg (0.1ng)<br />

was detected. Work is in progress to quantify fungal DNA from FHB infected barley.<br />

References<br />

Aoki, T. and O'Donnell. 1999. Mycologia. 91:597-609.<br />

Nicholson P. et al. 1998. Physiological and Molecular Plant Pathology. 53:17-37.<br />

Parry D. and Nicholson P. 1996. Plant Pathology. 45:383-391.<br />

Schilling A.G. et al. 1996. Phytopathology. 86:515-522.<br />

Williams K.J. et al. 2002. Australian Plant Pathology. 31: 119-127.<br />

Yoder, W. and Christianson, L. 1998. Fungal Genetics and Biology. 23: 68-80.<br />

- 61 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Can we use Australian identified molecular markers for barley net blotch<br />

resistance in western <strong>Canadian</strong> barley breeding programs?<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles<br />

Crop Development Centre/Department <strong>of</strong> Plant Sciences, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon, SK<br />

S7N 5A8 Canada<br />

Net blotch <strong>of</strong> barley caused by Pyrenophora teres Drechs. is an important disease in western Canada<br />

(Tekauz 1990) and elsewhere (Steffenson 1997). Two types <strong>of</strong> leaf symptoms are associated with <strong>the</strong><br />

net blotch disease: <strong>the</strong> net form (NFNB), caused by P. teres f. teres, which causes a dark brown<br />

crisscross venation pattern that sometimes turn chlorotic; and <strong>the</strong> spot form (SFNB), caused by P.<br />

teres f. maculata, which causes dark brown circular or elliptical spots accompanied by chlorosis <strong>of</strong><br />

<strong>the</strong> surrounding leaf tissue (Khan and Tekauz 1982). Yield losses <strong>of</strong> 20 to 30 % in susceptible<br />

cultivars have been reported in western Canada (van den Berg 1988) and up to 40 % in o<strong>the</strong>r parts <strong>of</strong><br />

<strong>the</strong> world (Khan 1987). More important than yield losses, <strong>the</strong> pathogen reduces thousand kernel<br />

weight, plumpness and test weight, negatively affecting malting and feed quality. The most effective<br />

and economical method to control this disease is <strong>the</strong> use <strong>of</strong> resistant cultivars, however most<br />

commonly grown barley cultivars are susceptible to most isolates <strong>of</strong> P. teres (Tekauz 1990, 2000).<br />

The variability observed in P. teres and failure to find lines resistant to all isolates suggests breeding<br />

for resistance should emphasize pyramiding resistance genes to develop broad-based durable<br />

resistance. Molecular markers allow breeders to rapidly introgress resistant genes into elite lines and<br />

to pyramid more than one resistant gene into a cultivar. Molecular markers linked to net blotch<br />

resistance in barley have been recently reported from Australia (Cakir et al. 2003, Raman et al. 2003,<br />

Williams et al. 2003). There is need to determine whe<strong>the</strong>r we can use Australian developed<br />

molecular markers in western <strong>Canadian</strong> barley breeding programs. Thirty-nine barley lines were<br />

screened with 6 NFNB (WRS102, WRS858, WRS1607, WRS1906, LO256, LO246) and 4 SFNB<br />

(WRS857, WRS1881, LO233, LO231) isolates at <strong>the</strong> seedling stage in <strong>the</strong> U <strong>of</strong> S, College <strong>of</strong><br />

Agriculture Phytotron. Parents <strong>of</strong> Australian barley mapping populations used to identify/validate net<br />

blotch markers in Australia, western <strong>Canadian</strong> lines, US lines and one Ethiopian accession and lines<br />

from International collections were included. The majority <strong>of</strong> <strong>the</strong> Australian parent lines were<br />

susceptible to western <strong>Canadian</strong> isolates. Australian 'R' lines Franklin, Alexis, Kaputar, Baudin,<br />

Hamelin were susceptible to <strong>the</strong> majority <strong>of</strong> <strong>the</strong> isolates tested. However, Pompadour, Halcyon, Tilga<br />

and Chebec were resistant to some isolates. Accession CI9214 showed <strong>the</strong> best overall resistance to<br />

all isolates and several western <strong>Canadian</strong> lines/cultivars viz. TR253, TR251, TR244, CDC Helgason<br />

and CDC McGwire were resistant to <strong>the</strong> majority <strong>of</strong> <strong>the</strong> isolates. We will evaluate<br />

Pompadour/Stirling, WPG8412/Stirling and Sloop/Halcyon populations to validate Australian NFNB<br />

markers using western <strong>Canadian</strong> NFNB isolates. For SFNB marker validation, potential populations<br />

are CI9214/Stirling, Keel/Gairdner, Chebec/Harrington and Tilga/Tantangara.<br />

Selected references:<br />

Cakir, M. et al. 2003. Australian J. Agric. Res. 54:1369-1377.<br />

Khan, T.N.1987. Australian J. Agric. Res. 38:671-689.<br />

Raman, H. et al. 2003. Australian J. Agric. Res. 54:1359-1367.<br />

Tekauz, A. 1990. <strong>Canadian</strong> J. Plant Pathol. 12:141-148.<br />

Williams, K.J. et al. 2003. Australian J. Agric. Res. 54:1387-1394.<br />

- 62 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Selection for improved scald resistance in <strong>the</strong> Crop Development Centre<br />

barley improvement program<br />

B.G. Rossnagel 1 , D. Voth 1 , T. Zatorski 1 , D.D. Orr 2 and T.K. Turkington 2<br />

1 Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, S7N 5A8 and<br />

2 Agriculture and Agri-Food Canada, Lacombe Research Station, Lacombe, AB, T4L 1W1<br />

Scald, caused by Rhynchosporium secalis, is a significant barley disease in western Canada in most<br />

years, especially in <strong>the</strong> moist regions <strong>of</strong> Alberta and north west Saskatchewan. Control depends<br />

primarily on genetic resistance in varieties planted and cultural practices including crop rotation and<br />

tillage to bury crop residue. Sources <strong>of</strong> resistance have been identified; however, many resistance<br />

sources break down ra<strong>the</strong>r quickly. Success in using <strong>the</strong> strategy <strong>of</strong> genetic resistance to control<br />

scald has been hampered by evolution and pathogenic variability within scald populations. Improved<br />

scald resistance is a part <strong>of</strong> <strong>the</strong> Crop Development Centre (CDC) barley improvement program and<br />

involves repeated testing <strong>of</strong> selected lines in a search for putative sources <strong>of</strong> resistance as well as to<br />

monitor scald resistance inherent in <strong>the</strong> program. Annual testing is conducted in collaboration with<br />

T.K. Turkington et al, AAFC, Lacombe at screening nurseries at Lacombe and Edmonton, Alberta.<br />

Scald reaction data has been collected at both locations for more than 10 years. Data from 2000<br />

through 2004 is presented for a number <strong>of</strong> resistant CDC selections and six check varieties.<br />

Intermediate resistance derived from CDC Dolly is holding but appears to be less effective than it<br />

was initially. Resistance derived from PC11 continues to be effective. Resistance tracing to Arizona<br />

hulless waxy (AzHull) remains effective with a large number <strong>of</strong> selections from crosses with that<br />

resistance currently being tested at advanced levels in <strong>the</strong> CDC program. Lines derived from Senor<br />

demonstrate moderately resistant reactions. Resistance from Hordeum spontaneum or H. bulbosum,<br />

introduced to <strong>the</strong> CDC program via New Zealand accessions, has endured well. Several CIMMYT<br />

lines, notably Calicuchima, 18 IBON-128 and 18 IBON-75 exhibit highly resistant reactions.<br />

Progeny <strong>of</strong> BT474, a six row CDC breeding line with no apparent resistance source(s) in its pedigree<br />

and now serving as a resistant nursery check, will be screened for scald reaction in 2005 Alberta<br />

nurseries. Several selections from crosses with BT474 have now reached advanced yield test stages<br />

<strong>of</strong> <strong>the</strong> CDC program.<br />

- 63 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Selection for improved FHB tolerance in <strong>the</strong> Crop Development Centre barley<br />

improvement program<br />

B. Rossnagel 1 , D. Voth 1 , T. Zatorski 1 , J. Tucker 2 , W. Legge 2 , and M. Savard 3<br />

1 Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, S7N 5A8<br />

2 Agriculture and Agri-Food Canada, Brandon Research Station, Brandon, MB, R7A 5Y3<br />

3 Agriculture and Agri-Food Canada, Eastern Cereal and Oilseed Research Centre, Ottawa, ON K1A 0C6<br />

Continued financial support by <strong>the</strong> WGRF, CWB and AAFC MII fund to operate a collaborative<br />

Fusarium Head Blight (FHB) screening project, initiated in 2000, at AAFC Brandon, attests to <strong>the</strong><br />

serious impact <strong>of</strong> FHB on both barley growers and users. As complete resistance has not been<br />

observed in barley, genetic resistance from additive action <strong>of</strong> multiple minor genes <strong>of</strong>fers <strong>the</strong> greatest<br />

potential against FHB. The Crop Development Centre (CDC) barley improvement program’s<br />

participation in this collaborative project was initially limited to searching for putative sources <strong>of</strong><br />

resistance for <strong>the</strong> breeding program and screening existing breeding lines to select for improved<br />

reaction to FHB. Repeated testing, 2001 to 2004, identified 9 hulled genotypes that consistently<br />

demonstrate DON concentrations comparable to <strong>the</strong> resistant check CI4196. Two <strong>of</strong> <strong>the</strong>se lines,<br />

2ND16092 (from NDSU) and HDE84194-622-1 (a Chinese accession from Shanghai Academy)<br />

have been used as parents in <strong>the</strong> CDC program on <strong>the</strong> basis <strong>of</strong> <strong>the</strong>ir FHB reaction. 114 selections<br />

from 7 populations derived from 2ND16092 and 65 selections from 2 populations derived from<br />

HDE84194-622-1 will be tested in 2005 for FHB response as Preliminary yield test entries. The<br />

remaining two-rowed hulled CDC lines all share TR251 as a common parent. SB00106, <strong>the</strong> most<br />

promising in an agronomic sense, also showed promise as an entry in <strong>the</strong> 2003 and 2004 North<br />

American <strong>Barley</strong> Scab Evaluation Nursery, where its DON level across all sites was among <strong>the</strong><br />

lowest. SB00106 was entered in <strong>the</strong> Western Two Row Coop Test as TR04378 in 2004 and chosen<br />

to replace CI4196 as <strong>the</strong> resistant check in <strong>the</strong> 2005 Brandon FHB nursery. The larger proportion <strong>of</strong><br />

hulless, 30 versus 9 hulled lines, repeatedly selected and tested for low DON concentration,<br />

emphasize <strong>the</strong> relationship between hull removal and DON accumulation. DON concentrations for<br />

all selected hulless lines were lower than <strong>the</strong> checks. The predominance <strong>of</strong> several parents (i.e.<br />

CI4196, CDC Freedom and TR251) in <strong>the</strong> pedigrees <strong>of</strong> <strong>the</strong>se selections indicate <strong>the</strong> heritable nature<br />

<strong>of</strong> <strong>the</strong> low DON accumulation trait. SH00749, selected from an early cross between CDC Freedom<br />

and CI4196 (population 99T511-03) was in turn used as a parent to improve FHB tolerance. 115<br />

selections from 4 populations derived from SH00749 will be tested in <strong>the</strong> 2005 FHB nursery as preyield<br />

test entries. The FHB response <strong>of</strong> several <strong>of</strong> <strong>the</strong> best CDC selections for lower DON<br />

accumulation, with few exceptions, seem to hold up well in o<strong>the</strong>r FHB screening nurseries.<br />

- 64 -<br />

Dr. B.G. Rossnagel: rossnagel.brian@usask.ca


Session 2: Pathology and Entomology – Poster abstracts<br />

An AFLP derived tightly linked marker for true loose smut resistance (Un8)<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles<br />

Department <strong>of</strong> Plant Sciences/Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, CANADA S7N 5A8<br />

True loose smut resistance in barley is conferred by <strong>the</strong> single dominant gene Un8, and is <strong>the</strong> major<br />

source <strong>of</strong> resistance in cultivars bred for western Canada. Since smut is seed borne, conventional<br />

disease screening involves <strong>the</strong> manual (hand held syringe) inoculation <strong>of</strong> 10 to 12 florets per spike<br />

(line). Mature seed from inoculated plants is harvested and grown to an<strong>the</strong>sis before plants can be<br />

evaluated for <strong>the</strong> presence <strong>of</strong> smut, a process which needs to be repeated for putative resistant lines<br />

because <strong>of</strong> potential escapes. Cost estimates for conventional screening are near $5 per line. This<br />

expense and <strong>the</strong> simple genetics <strong>of</strong> <strong>the</strong> resistance make smut resistance an excellent candidate for<br />

marker-assisted selection (MAS). PCR based markers for Un8 (Eckstein et al., 2002) have been in<br />

routine use in <strong>the</strong> Crop Development Centre barley breeding program for more than five years.<br />

While <strong>the</strong> markers are robust and simple to use, <strong>the</strong> 6cM <strong>of</strong> genetic distance (recombination) renders<br />

approximately 50% <strong>of</strong> crosses as monomorphic (unscreenable). AFLP on bulked-segregant DNA<br />

samples has generated a polymorphism that is more tightly linked with <strong>the</strong> resistance in 149 DH lines<br />

from <strong>the</strong> cross Harrington x TR306. AFLP primers E32-M58 amplify a short fragment <strong>of</strong> DNA from<br />

<strong>the</strong> resistant DNA bulk and resistant parent only. This fragment is consistently amplified from<br />

constituent lines <strong>of</strong> <strong>the</strong> resistant DNA bulk, is absent from <strong>the</strong> susceptible lines, and co-segregates<br />

appropriately with <strong>the</strong> disease reaction in all lines that showed recombination with our previous<br />

marker. Efforts to convert <strong>the</strong> AFLP polymorphism to a simple PCR-based marker are in progress to<br />

simplify linkage analysis on an additional 367 lines from <strong>the</strong> same population. The polymorphic<br />

fragment has been isolated, cloned and sequenced, and consists <strong>of</strong> 40 bases <strong>of</strong> genomic sequence<br />

from which allele specific PCR-based markers cannot be designed. A 1052bp fragment containing<br />

<strong>the</strong> original 40 bases has been identified through anchored PCR. This locus has been sequenced from<br />

resistant and susceptible genotypes in order to design allele specific primers. Analysis <strong>of</strong> sequence to<br />

date indicates that <strong>the</strong> locus likely has numerous locations in <strong>the</strong> barley genome and efforts to<br />

identify nucleotide variation between resistant and susceptible genotypes at <strong>the</strong> Un8 linked locus<br />

continue. This tightly linked marker will be useful in reducing <strong>the</strong> error percentage in MAS, and will<br />

increase <strong>the</strong> amount <strong>of</strong> breeding material that can be evaluated through MAS. Linkage estimates<br />

obtained from <strong>the</strong> larger population will form <strong>the</strong> basis for closer examination <strong>of</strong> <strong>the</strong> locus and<br />

perhaps <strong>the</strong> isolation <strong>of</strong> <strong>the</strong> gene itself. The eventual isolation <strong>of</strong> <strong>the</strong> Un8 gene will allow for <strong>the</strong><br />

characterization <strong>of</strong> previously un-phenotyped materials such as can be done with <strong>the</strong> Rpg1 resistance<br />

gene (Brueggeman et al., 2002) and markers (Eckstein et al., 2003).<br />

References<br />

Brueggeman, R., Rostoks, N., Kudrna, D., Kilian, A., Han, J., Druka, A., Steffenson, B., and A.<br />

Kleinh<strong>of</strong>s. 2002. Proc. Natl. Acad. Sci. USA 99:9328-9333.<br />

Eckstein, P.E., Krasichynska, N., Voth, D., Duncan, S., Rossnagel, B.G., and G.J. Scoles. 2002. Can. J.<br />

Plant Pathol. 24:46-53.<br />

Eckstein, P., Rossnagel, B., and G. Scoles. 2003. <strong>Barley</strong> Genetics Newsletter 33:7-11.<br />

- 65 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Cytological karyotyping <strong>of</strong> Pyrenophora teres<br />

A.D. Beattie, G.J. Scoles, B.G. Rossnagel<br />

University <strong>of</strong> Saskatchewan/Crop Development Center, 51 Campus Drive, Saskatoon, SK S7N 5A8<br />

Net blotch, caused by <strong>the</strong> fungal pathogen Pyrenophora teres, is a common disease <strong>of</strong> barley that<br />

adversely affects seed quality characteristics like plumpness and test weight. Despite its importance,<br />

<strong>the</strong>re is limited information available about <strong>the</strong> P. teres genome. Karyotype analysis <strong>of</strong> this pathogen<br />

was initiated to address this and to provide a foundation for fur<strong>the</strong>r genetic work including <strong>the</strong><br />

creation <strong>of</strong> a molecular linkage map.<br />

One technique available for karyotyping fungal pathogens is <strong>the</strong> germ tube burst method (GTBM)<br />

which allows cytogenetic analysis by releasing mitotic metaphase chromosomes from <strong>the</strong> actively<br />

growing tip <strong>of</strong> conidial germ tubes. Previous cytological work with fungi focused on meiotic stage<br />

chromosomes present during sexual reproduction, however, <strong>the</strong> sexual stage <strong>of</strong> many important<br />

phytopathogenic fungi is ei<strong>the</strong>r unknown or difficult to induce in <strong>the</strong> lab, restricting <strong>the</strong> use <strong>of</strong> this<br />

method. Pulsed field gel electrophoresis (PFGE) is ano<strong>the</strong>r popular method <strong>of</strong> karyotyping fungi<br />

which is useful for estimating <strong>the</strong> molecular weights <strong>of</strong> chromosomes, but tends to underestimate<br />

chromosome numbers due to <strong>the</strong> inability to resolve chromosomes <strong>of</strong> similar size. The combination<br />

<strong>of</strong> <strong>the</strong> GTBM and PFGE make a powerful tool for karyotype analysis.<br />

The GTBM was applied to four isolates <strong>of</strong> P. teres. A time course analysis was conducted to<br />

determine <strong>the</strong> conidial germination rate and <strong>the</strong> point at which <strong>the</strong> maximum number <strong>of</strong> germ tube<br />

nuclei were in metaphase. Germination began after 30 min and was near 100% by 120 min. The<br />

proportion <strong>of</strong> metaphase stage nuclei in germlings reached a maximum <strong>of</strong> 15% at regular intervals <strong>of</strong><br />

60-70 min. Culture media was amended with hydroxyurea to attempt to synchronize mitosis and<br />

increase <strong>the</strong> proportion <strong>of</strong> metaphase nuclei, but only a marginal increase was observed. Cells within<br />

<strong>the</strong> germling contained an average <strong>of</strong> seven nuclei and <strong>the</strong> nuclei within each cell appeared to be at<br />

<strong>the</strong> same mitotic stage. These observations were not significantly different between <strong>the</strong> four isolates<br />

studied. Nine chromosomes were observed for each isolate after making a minimum <strong>of</strong> 20<br />

chromosome counts. Observations on chromosome size were recorded. This karyotype analysis<br />

solidifies <strong>the</strong> only previous estimation <strong>of</strong> chromosome number in P. teres, made using PFGE. In that<br />

study, only six bands could be resolved, but densitometric analysis <strong>of</strong> <strong>the</strong> larger, unresolved bands<br />

led to a chromosome number estimate <strong>of</strong> nine. This study shows <strong>the</strong> power <strong>of</strong> <strong>the</strong> GTBM to<br />

accurately determine karyotypes in fungi.<br />

Corresponding author: adb164@duke.usask.ca (Aaron Beattie)<br />

- 66 -


Session 2: Pathology and Entomology – Poster abstracts<br />

A molecular linkage map <strong>of</strong> Pyrenophora teres<br />

A.D. Beattie, G.J. Scoles, B.G. Rossnagel<br />

University <strong>of</strong> Saskatchewan/Crop Development Center, 51 Campus Drive, Saskatoon, SK S7N 5A8<br />

Genetic linkage maps provide basic information about a species’ genome organisation and are<br />

important tools required for positional cloning <strong>of</strong> genes. The rice blast pathogen, Magnaportha<br />

grisea, provides a good example <strong>of</strong> how a linkage map <strong>of</strong> this fungus has allowed map-based cloning<br />

<strong>of</strong> several avirulence genes. The goal <strong>of</strong> this project was to construct a linkage map <strong>of</strong> <strong>the</strong> barley net<br />

blotch pathogen, Pyrenophora teres, that will support future mapping studies.<br />

A mapping population <strong>of</strong> 80 single ascospore progeny were isolated from a cross between parental<br />

isolates WRS 1906 x WRS 1607. The parents were screened with 144 AFLP primer combinations<br />

from which 23 primer pairs were selected to screen across <strong>the</strong> entire population. Because WRS 1906<br />

is avirulent on <strong>the</strong> barley variety 'Heartland' while WRS 1607 is highly virulent, <strong>the</strong> population was<br />

also evaluated for virulence on Heartland and segregated 38 avirulent: 42 virulent (χ2 = 0.2, P =<br />

0.70). This suggested a single gene controlled <strong>the</strong> avirulent phenotype and this locus was placed on<br />

<strong>the</strong> linkage map. Finally, <strong>the</strong> mating type (MAT1/MAT2) locus was mapped on <strong>the</strong> population using<br />

a set <strong>of</strong> PCR primers specific to this locus. The map consists <strong>of</strong> 110 unique loci distributed over 18<br />

linkage groups. Only eight (7.3%) markers displayed a Mendelian segregation ratio different from<br />

1:1. The total map length is approximately 650 cM.<br />

The present chromosome number estimate for P. teres is nine based on pulsed field gel<br />

electrophoresis (PFGE) and cytological observations. This clearly indicates that many <strong>of</strong> <strong>the</strong> linkage<br />

groups represent common chromosomes. Currently markers from each linkage group are being<br />

hybridized to PFGE-separated chromosomes in order to assign linkage groups to specific<br />

chromosomes. Mapping <strong>of</strong> <strong>the</strong> chromosome telomeres has also been initiated to determine how fully<br />

<strong>the</strong> current map represents <strong>the</strong> genome and to better define <strong>the</strong> region around <strong>the</strong> avr locus near <strong>the</strong><br />

terminus <strong>of</strong> linkage group 6.<br />

Corresponding author: adb164@duke.usask.ca (Aaron Beattie)<br />

- 67 -


Session 2: Pathology and Entomology – Poster abstracts<br />

The barley stem rust resistance gene Rpg5 encodes NBS-LRR and protein<br />

kinase domains in a single gene<br />

R. Brueggeman 1 , T. Drader 1 , A. Druka 2 , T. Cavileer 3 , B. Steffenson 4 , J. Nirmala 1 , H. Bennypaul 1 , K. Gill 1<br />

and A. Kleinh<strong>of</strong>s 1,5<br />

1 Washington State University, Crop and Soil Science, Pullman, WA 99163, USA<br />

2 Scottish Crop Research Institute, Invergowrie, Dundee DD2 5DA, Scotland, UK<br />

3 University <strong>of</strong> Idaho, Dept. <strong>of</strong> Biological Sciences, Moscow, ID 83844, USA<br />

4 University <strong>of</strong> Minnesota, Department <strong>of</strong> Plant Pathology, St. Paul, MN 55108-6030, USA<br />

5 Washington State University, School <strong>of</strong> Molecular Biosciences, Pullman, WA 99163, USA<br />

The biotrophic fungus Puccinia graminis causes stem rust <strong>of</strong> barley. Several major genes for<br />

resistance (i.e. Rpg1-Rpg5) have been described in barley. To understand <strong>the</strong> molecular basis <strong>of</strong> stem<br />

rust resistance, we have focused on <strong>the</strong> isolation and characterization <strong>of</strong> <strong>the</strong> genes involved in <strong>the</strong><br />

incompatible interactions between barley and Puccinia graminis.<br />

The Rpg1 gene was recently cloned and predicted to code for a receptor-like kinase with dual kinase<br />

domains (Brueggeman et. al., PNAS 99:9328, ’02), representing a novel class <strong>of</strong> plant disease<br />

resistance genes. A genetic locus believed to contain <strong>the</strong> barley stem rust resistance genes Rpg5 and<br />

rpg4 was delimited genetically to two BAC clones and completely sequenced. The Rpg5 locus<br />

confers resistance to <strong>the</strong> rye stem rust pathogen Puccinia graminis f. sp. secalis, isolate 92-MN-90<br />

and <strong>the</strong> rpg4 locus confers resistance to P. graminis f. sp. tritici pathotype, Pgt-QCC. Annotation <strong>of</strong><br />

<strong>the</strong> BAC sequences revealed several candidate resistance genes. Allele sequencing from resistant<br />

and susceptible cultivars and recombinant lines resulted in a single candidate Rpg5 gene. The Rpg5<br />

gene was confirmed by allele sequencing and it also appears to be required for rpg4-mediated<br />

resistance. This was indicated by <strong>the</strong> presence <strong>of</strong> recombinants resistant to isolate 92-MN-90 (Rpg5),<br />

but not to QCC (rpg4). Recombinants resistant to QCC, but susceptible to 92-MN-90 were never<br />

isolated among over 5,000 gametes examined. In-silico translation <strong>of</strong> <strong>the</strong> Rpg5 sequence from <strong>the</strong><br />

resistant line Q21861 revealed a protein containing NBS-LRR and protein kinase domains, all in one<br />

gene. Several cases are known in <strong>the</strong> literature where an NBS-LRR gene and a protein kinase gene<br />

are required for resistance to a pathogen, but this is <strong>the</strong> first case where all three domains are encoded<br />

by a single gene. Fur<strong>the</strong>r validation <strong>of</strong> <strong>the</strong> gene is underway using a viral induced gene silencing<br />

approach as well as complementation by Agrobacterium mediated transformation. Characterization<br />

and validation <strong>of</strong> this gene will be presented and possible mechanism <strong>of</strong> resistance discussed.<br />

- 68 -<br />

Robert Brueggeman: bigbass@wsu.edu


Session 2: Pathology and Entomology – Poster abstracts<br />

In vitro selection for pre-screening barley for resistance to Fusarium head<br />

blight<br />

Kumar, K. (1), Xi, K. (1), Helm, J.H. (2), Turkington, T.K. (3), and Jennifer Zantinge (1)<br />

1: Field Crop Development Centre, Alberta Agriculture, Food and Rural Development (AAFRD), 6000 C & E Trail, Lacombe, AB<br />

T4L 1W1<br />

2: Field Crop Development Centre, AAFRD, 5030-50 Street, Lacombe, AB T4L 1W8<br />

3: Lacombe Research Centre, Agriculture and Agri-Food Canada, 6000 C & E Trail, Lacombe, AB T4L 1W1<br />

Cultivation <strong>of</strong> susceptible wheat and barley cultivars has resulted in FHB epidemics in <strong>the</strong> Midwest<br />

USA and Manitoba. The use <strong>of</strong> barley cultivars with genetic resistance to FHB is <strong>the</strong> most cost<br />

effective and environmentally sound means to manage this disease. However, <strong>the</strong> limited occurrence<br />

<strong>of</strong> FHB caused by Fusarium graminearum Schwable in Alberta, especially in <strong>the</strong> central and<br />

nor<strong>the</strong>rn regions, requires developing methodology to screen resistance under controlled conditions.<br />

<strong>Barley</strong> genotypes (Hordeum vulgare L.) with known field reactions to fusarium head blight (FHB)<br />

were used for in vitro ground grain and leaf detached assays. In <strong>the</strong> ground gain assay, <strong>the</strong> FHB<br />

reaction <strong>of</strong> <strong>the</strong> genotypes was measured based on <strong>the</strong> extent <strong>of</strong> mycelial growth <strong>of</strong> F. graminearum<br />

(PW027) on a mixture <strong>of</strong> agar and ground grain at room temperature (23±1°C). In addition, <strong>the</strong><br />

deoxynivalenol (DON) level in a mixture <strong>of</strong> F. graminearum biomass and ground grain <strong>of</strong> each line<br />

was determined using an ELISA-based assay. Fusarium graminearum showed larger colony<br />

diameters (mm) for susceptible ‘AC Lacombe’ and ‘Stander’ compared with resistant genotypes,<br />

‘Chevron’ H94051001, I92130, and H93120, except for resistant CI4196. Fusarium graminearum<br />

produced more DON on susceptible ‘AC Lacombe’ compared to resistant ‘Chevron’, I92130, and<br />

H93120, except for resistant CI4196 and H94051001. Larger colony diameters and higher DON<br />

content were also observed for susceptible genotypes compared with resistant ones in a repeated test<br />

with ano<strong>the</strong>r 16 barley genotypes. Detached leaves <strong>of</strong> six barley genotypes were inoculated with<br />

single isolates <strong>of</strong> F. graminearum (PW027) and F. culmorum (PW0T6) for evaluation <strong>of</strong> partial<br />

disease resistant (PDR) components at 10°C and 23±1°C, and DON content at 23±1°C. Both isolates<br />

were pathogenic at 23±1°C with shorter incubation period and greater lesion sizes on detached leaves<br />

compared to 10°C. PW027 was more virulent than PW0T6 at both temperatures resulting in shorter<br />

incubation and larger lesions for all barley genotypes but not for spore production. Fusarium<br />

graminearum appeared to better differentiate between resistant and susceptible barley genotypes at<br />

23±1°C compared with F. culmorum. However, <strong>the</strong>re was no clear pattern in DON content between<br />

resistant/tolerant and susceptible genotype. The results <strong>of</strong> in vitro evaluations tended to agree with<br />

previous field reactions in terms <strong>of</strong> FHB reaction and DON level <strong>of</strong> <strong>the</strong> genotypes. Thus, both in<br />

vitro assays may be alternate selection methodologies for FHB resistance. The detached leaf assay<br />

has <strong>the</strong> advantage <strong>of</strong> measuring specific disease components, allowing elucidation <strong>of</strong> <strong>the</strong> potential<br />

nature and genetic components <strong>of</strong> resistance to FHB operating for this assay. The potential <strong>of</strong><br />

screening barley embryos <strong>of</strong> different genotypes against DON as a method <strong>of</strong> identifying resistant<br />

genotypes was also evaluated. In a preliminary test, 20 days old embryos <strong>of</strong> susceptible ‘AC<br />

Lacombe’ and resistant H94051001 were evaluated in Murashige Skoog media amended with<br />

different concentrations <strong>of</strong> DON. DON was found to considerably reduce <strong>the</strong> embryo weight <strong>of</strong> ‘AC<br />

Lacombe’ compared with that <strong>of</strong> H94051001. Fur<strong>the</strong>r embryo experiments are being carried out,<br />

with screening <strong>of</strong> more barley genotypes against different DON concentrations.<br />

- 69 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Diversification strategies for barley disease management in Alberta<br />

Turkington, T.K. (1), Xi, K. (2), Clayton, G.W. (1), Harker, K.N. (1), O’Donovan, J.G. (1), and Lupwayi, N. (1)<br />

1: Lacombe Research Centre/Beaverlodge Research Farm, Agriculture and Agri-Food Canada, Lacombe, AB, T4L 1W1;<br />

2: Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, c/o Lacombe Research Centre, Agriculture<br />

and Agri-Food Canada, Lacombe, AB, T4L 1W1<br />

<strong>Barley</strong> is an important feed grain crop in Alberta that accounts for 40-50% <strong>of</strong> <strong>Canadian</strong> production. To<br />

ensure a constant supply <strong>of</strong> feed many farmers <strong>of</strong>ten grow barley continuously for several years; however,<br />

continuous barley production leads to a build-up <strong>of</strong> plant diseases and a general reduction in yield<br />

potential over <strong>the</strong> long-term. A three-year experiment was established at Lacombe in 1998 to determine<br />

if barley cultivar rotation could be used to reduce <strong>the</strong> impact <strong>of</strong> leaf diseases, while maintaining crop<br />

productivity. Treatments consisted <strong>of</strong> various sequences <strong>of</strong> two cultivars with varying degrees <strong>of</strong> scald<br />

and net blotch resistance, ‘Kasota’, and ‘AC Lacombe’; a previously scald-resistant cultivar ‘CDC Earl’;<br />

a susceptible check, ‘Harrington’; and a non-host, triticale cultivar ‘Wapiti’. Rotations were established<br />

in 1998 with comparisons being made in 1999 and 2000. In 1999, significant rotation differences<br />

occurred for scald and net blotch severity, with disease severity usually highest and yield lowest when a<br />

barley cultivar was grown on its own residue, especially for cultivars o<strong>the</strong>r than ‘Kasota’. Statistical<br />

analysis using contrasts indicated that yield and kernel weight were lower, while scald and net blotch<br />

levels were higher for barley cultivar monoculture compared with barley cultivar rotation. In 2000, when<br />

a barley cultivar was grown on its own residue, scald severity was usually highest compared to barley<br />

cultivar rotation. A similar trend was also observed for net blotch, especially for ‘Harrington’ and ‘AC<br />

Lacombe’. Poor stand establishment in some plots precluded <strong>the</strong> detection <strong>of</strong> yield differences among<br />

some treatments in 2000. Contrasts for 2000 indicated that higher levels <strong>of</strong> scald and net blotch, and<br />

decreased kernel and test weights occurred for barley cultivar monoculture compared to barley cultivar<br />

rotation. In both 1999 and 2000, barley planted on triticale residue generally had <strong>the</strong> highest yield, kernel<br />

weight and test weight, while having <strong>the</strong> lowest disease levels compared to planting barley on barley<br />

residue. <strong>Barley</strong> cultivar rotation can be a potential short-term strategy to help reduce leaf disease levels<br />

and maintain crop productivity for Alberta barley producers where crop rotation options are limited due to<br />

feed requirements or market factors. However, continuous production <strong>of</strong> barley, even utilizing cultivar<br />

rotation, will not provide long-term sustainable leaf disease management, especially for scald. The<br />

summer <strong>of</strong> 2004 was <strong>the</strong> third year <strong>of</strong> a separate trial that was established to look <strong>the</strong> interactive effects <strong>of</strong><br />

agronomic factors such as rotational diversity, seeding rate, and time <strong>of</strong> silage removal on crop health,<br />

competitiveness, disease levels, productivity and quality in a cereal silage production system. In 2004, all<br />

plots except for <strong>the</strong> continuous triticale were seeded to <strong>the</strong> barley cultivar ‘Seebe’. The rotation<br />

treatments <strong>of</strong> ‘CDC Helgason’ barley/’Pronghorn’ triticale/’Seebe’ and ‘Pronghorn’/’AC Mustang’<br />

oats/’Seebe’ had significantly greater emergence compared to <strong>the</strong> continuous ‘Seebe’ treatment, which<br />

had <strong>the</strong> lowest emergence. The remaining rotation treatments had intermediate emergence and were not<br />

significantly different from <strong>the</strong> continuous ‘Seebe’ rotation. Overall, silage yield on a dry weight basis<br />

was highest for <strong>the</strong> ‘Pronghorn’/’AC Mustang’/’Seebe’ rotation (8060 kg/ha), intermediate for <strong>the</strong> ‘CDC<br />

Helgason’/’AC Mustang’/’Seebe’ rotation (7822 kg/ha) and lowest for <strong>the</strong> remaining rotations (7005-<br />

7279 kg/ha, LSD = 400 kg/ha). The spot-form <strong>of</strong> net blotch was <strong>the</strong> main leaf disease present and it was<br />

highest for <strong>the</strong> continuous ‘Seebe’ rotation (13.8% leaf area diseased on <strong>the</strong> flag -2 leaf) and lowest for<br />

<strong>the</strong> ‘Pronghorn’/’AC Mustang’/’Seebe’ rotation (5.9%) with <strong>the</strong> o<strong>the</strong>r rotations having intermediate<br />

disease levels (8.2-11.7%, LSD = 2.1). Rotation had a significant influence on root mass assessed in <strong>the</strong><br />

fall. Root mass was highest for <strong>the</strong> ‘Pronghorn’/’AC Mustang’/’Seebe’ rotation (42.4 g/2 m length <strong>of</strong><br />

row), lowest for <strong>the</strong> continuous ‘Seebe’ rotation (29.1 g), and intermediate for <strong>the</strong> remaining rotation<br />

treatments (34.4-37.0 g, LSD = 8.2 g). Rotation treatments had an impact on silage yield and this<br />

appeared to be related to crop health as indicated by leaf disease levels and root mass measurements. A<br />

second 3-year cycle <strong>of</strong> this trial is being repeated starting in 2005.<br />

E-mail: turkingtonk@agr.gc.ca<br />

- 70 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Resistance <strong>of</strong> western <strong>Canadian</strong> barley genotypes to scald in Alberta<br />

K. Xi (1), T.K. Turkington (2) and C. Bos (1)<br />

1: Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, c/o Lacombe Research Centre, 6000 C&E<br />

Trail, Lacombe, AB Canada T4L 1W1<br />

2: Agriculture and Agri-Food Canada, Lacombe Research Centre, 6000 C & E Trail, Lacombe, AB Canada T4L 1W1<br />

<strong>Barley</strong> (Hordeum vulgare L.) production in Alberta has averaged around 6 million metric tonnes<br />

from 2 million hectares annually from 1995 to 1999, and accounted for close to 50% <strong>of</strong> <strong>the</strong> total<br />

barley production in western Canada. Scald caused by Rhynchosporium secalis J. J. Davis is one <strong>of</strong><br />

<strong>the</strong> major foliar diseases causing significant yield loss in Alberta as a result <strong>of</strong> intensive barley<br />

production, and cool and wet environmental conditions that favor disease development. In <strong>the</strong><br />

current study, nine barley differentials were grown up in hill plots at multiple sites to monitor scald<br />

development during 1997 – 1999 (Period 1), twelve during 2000 – 2001 (Period 2), and twelve<br />

during 2003 – 2004 (Period 3). Thirty-eight genotypes and commercial cultivars with different levels<br />

<strong>of</strong> resistance were also evaluated for scald reaction from 2003 to 2004 at <strong>the</strong>se sites. Differentials<br />

Abyssinian, Atlas, Atlas 46, Atlas 68, Hudson, Osiris, Kitchin and Turk were resistant to scald at all<br />

sites, o<strong>the</strong>r differentials including Brier, La Mestita, Modoc and Trebi showed intermediate levels <strong>of</strong><br />

scald, indicating that <strong>the</strong> majority <strong>of</strong> major genes for scald resistance are effective against R. secalis<br />

pathotypes in Alberta. The differentials showed highly significant correlations in scald severity<br />

among all three periods. Period 1 and Period 2 (R 2 =0.86**) were, however, more closely correlated,<br />

compared with Period 1 and Period 3 (R 2 =0.63**), suggesting <strong>the</strong> development <strong>of</strong> considerable<br />

variability in R. secalis in response to major genes for resistance during 1997 to 2004 in Alberta.<br />

Analysis from ten station-years <strong>of</strong> data classified thirty-eight genotypes and cultivars into three major<br />

clusters corresponding to scald reaction: resistant, intermediate and susceptible. Those in Cluster I<br />

that were resistant included AC Stacey, Kasota, Mahigan, Manny, Niobe, Seebe and five o<strong>the</strong>r<br />

genotypes from <strong>the</strong> Field Crop Development Centre. Eighteen commercial cultivars in Cluster II<br />

were intermediate in scald reaction and <strong>the</strong>se included AC Lacombe, CDC Dolly, CDC Earl, CDC<br />

Guardian, CDC Kendall, Falcon, Nisku and Peregrine. The three susceptible barley cultivars<br />

including Harrington were classified into Cluster III with several malting cultivars including AC<br />

Metcalfe, CDC Sisler and Excel, and three feed barleys, AC Bacon, AC Rosser and CDC Candle.<br />

The number <strong>of</strong> cultivars that were classified to be resistant was up from previous studies. A<br />

substantial number <strong>of</strong> feed cultivars were classified to be intermediate in resistance in <strong>the</strong> present<br />

study due partly to <strong>the</strong> overall moderate level <strong>of</strong> scald severity during 2003 – 2004 in Alberta.<br />

Changes in R. secalis pathotypes and conducive wea<strong>the</strong>r conditions may increase severity, resulting<br />

in breaking down <strong>of</strong> resistance, as demonstrated in previous study. Given <strong>the</strong> fact that no malting<br />

cultivar was resistant and only one was classified as intermediate in scald reaction, <strong>the</strong>re is a need to<br />

incorporate scald resistance genes into malting cultivars for production in Alberta.<br />

- 71 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Mapping and molecular marker development <strong>of</strong> scald resistance in ‘Seebe’<br />

barley<br />

Zantinge, J.L.*, J.H. Helm, Z. Hartman, J.B. Russell, and K. Xi<br />

Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, 5030 – 50th Street, Lacombe, AB T4L 1W8,<br />

Canada. Web Site: http://www1.agric.gov.ab.ca/app21/rtw/selsubj.jsp<br />

Scald (Rhynchosporium secalis) <strong>of</strong> barley is prevalent in central Alberta, Canada and causes<br />

considerable yield and quality losses. Scald can rapidly change in pathotype composition and<br />

frequency, <strong>the</strong>reby making it difficult to develop durable scald resistance in barley. Previous studies<br />

have shown that <strong>the</strong> cultivar ‘Seebe’ carries durable genetic resistance, however, barley breeders<br />

have found this trait difficult to transfer into new barley lines. Therefore, we are trying to develop<br />

molecular markers for scald resistance from ‘Seebe’. Recombinant inbred lines were developed from<br />

<strong>the</strong> cross <strong>of</strong> ‘Harrington’ (scald susceptible) and ‘Seebe’ (scald resistant). Progeny <strong>of</strong> about 175<br />

individual F2 seedlings were advanced by single-seed descent to <strong>the</strong> F8 generation. Disease<br />

resistance to a major scald race was phenotyped at <strong>the</strong> seedling stage in a greenhouse. By utilizing<br />

bulked segregant analysis (BSA), resistant and susceptible pooled populations were compared by<br />

AFLP analysis. A total <strong>of</strong> 255 AFLP primer combinations were used to analyze <strong>the</strong> genetic<br />

population and several EcoRI-MseI and PstI-MseI fragments were found linked to scald disease<br />

resistance. We are also analyzing this population with SSR markers. Our goal is to map and identify<br />

molecular markers flanking <strong>the</strong> genes contributing to scald resistance in ‘Seebe’.<br />

Key words: scald resistance, marker development, Hordeum vulgare, barley<br />

*Corresponding author: jennifer.zantinge@gov.ab.ca<br />

- 72 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Breeding for multiple disease and multiple gene resistance in barley<br />

James H. Helm 1 , H. Vivar 2 , F. Capettini 2 , K. Xi 1 , P. Juskiw 1 , and J. Zantinge 1<br />

1 Alberta Agriculture, Food and Rural Development; Field Crop Development Centre, Lacombe Alberta<br />

2 ICARDA/ CIMMYT, Texcoco, Mexico<br />

Combining genes for disease resistance is very difficult, as most breeding programs can only test for<br />

<strong>the</strong> diseases present at <strong>the</strong>ir breeding sites. In addition, pyramiding genes or developing multiple<br />

gene resistance is difficult to detect when testing at only one location. Multiple disease and gene<br />

resistance involves breeding against more than one pathogen and more than one gene per pathogen.<br />

Each pathogen may have several races that are able to attack varieties and render a resistant variety<br />

ineffective in a short period <strong>of</strong> time, presenting a significant challenge to plant breeders.<br />

Over <strong>the</strong> years <strong>the</strong> ICARDA/CIMMYT barley program in Mexico has given us an excellent<br />

opportunity to screen for multiple gene resistance for Scald in barley and at <strong>the</strong> same time look at<br />

multiple disease resistance to Stripe Rust, <strong>Barley</strong> Yellow Dwarf Virus, Leaf Rust, and Fusarium<br />

Head Blight (FHB). In Canada not only have we screened for Scald, but have also screened for<br />

Loose Smut and Covered Smuts as well as Net Blotch (net and spot forms), Spot Blotch, and FHB.<br />

Over <strong>the</strong> last 5 years we have screened over 2000 breeding lines at 4 locations in Canada and 3<br />

locations in Mexico. New combinations <strong>of</strong> resistance genes have been found with some lines<br />

containing genes for resistance to 5 and 6 diseases. We found multiple gene combinations for scald<br />

resistance that have 3 or more genes and should give durable resistance to this disease in both<br />

countries. In order to classify breeding lines according to resistance gene combinations, we are<br />

currently analyzing overall similarity computed from multivariate disease resistance data and<br />

matching it to <strong>the</strong> pedigree.<br />

The best lines will be used in <strong>the</strong> breeding program in order to rapidly incorporate even greater<br />

disease resistance into new varieties for Alberta producers. We will also develop several populations<br />

to begin <strong>the</strong> process <strong>of</strong> mapping on as many <strong>of</strong> <strong>the</strong>se genes as possible. Continuation <strong>of</strong> this research<br />

is necessary to anticipate and cope with <strong>the</strong> changes in disease problems likely to occur in <strong>the</strong> future.<br />

Up to this point in time, stripe rust has not been a problem in Alberta on barley; however, in 2004<br />

this disease was found on barley at Olds, Trochu, Calmar and Lacombe. If this disease continues its<br />

move north it will be devastating to Alberta’s barley crop. FHB also is not presently a problem in<br />

Alberta but seems to be moving west. FHB has cost <strong>the</strong> barley industry millions <strong>of</strong> dollars in <strong>the</strong><br />

Midwest in <strong>the</strong> United States and in Manitoba in Canada.<br />

- 73 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Variation in virulence among net blotch isolates infecting barley<br />

Linnea G Skoglund<br />

Busch Agricultural Resources, Inc. 3515 Richards Lake Road, Fort Collins, CO 80525<br />

Pyrenophera teres, causal agent <strong>of</strong> net blotch <strong>of</strong> barley, is widely distributed throughout North<br />

American production areas. Previously, researchers have shown variation in virulence <strong>of</strong> isolates<br />

within and between locations. The purpose <strong>of</strong> this research was to continue monitoring diversity <strong>of</strong><br />

isolates in locations <strong>of</strong> interest to <strong>the</strong> BARI barley breeding program. Isolates were collected<br />

randomly from symptomatic plants from 2000 to 2004. A set <strong>of</strong> 25 differential varieties was<br />

developed based on work <strong>of</strong> o<strong>the</strong>r researchers. Differentials were planted in Rootrainers containing<br />

Metromix 200 and grown in <strong>the</strong> greenhouse. Isolates were grown on V8 Juice agar at 18C with 12 hr<br />

light per day for 7 days. Plants were inoculated at <strong>the</strong> 2-leaf stage with a suspension <strong>of</strong> a single<br />

isolate, incubated in <strong>the</strong> dark at 18C and 100% RH for 24 hr, and returned to <strong>the</strong> greenhouse. Plants<br />

were evaluated for disease on a 0 (R) to 9 (S) scale 7-10 days later. To date, 16 isolates have been<br />

characterized on 25 differential varieties. Isolates ranged from <strong>the</strong> least virulent (PT01/6 from<br />

Bottineau, ND), infecting 5 differentials, to <strong>the</strong> most virulent (PT04/14 from Minot, ND), infecting<br />

20. Of <strong>the</strong>se 25 differentials, only 2 (9839 and CIHO 5822) were resistant to all isolates and 3<br />

(Alexis, Bonanza and Klages) were susceptible to all isolates. There was no correlation <strong>of</strong> virulence<br />

to year or location. This study will continue in order to assist breeding programs developing<br />

resistance to net blotch.<br />

Corresponding author: linnea.skoglund@anheuser-busch.com<br />

- 74 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Assessment <strong>of</strong> artificial inoculation methods and deoxynivalenol levels in<br />

barley lines representing various candidate sources <strong>of</strong> resistance to<br />

Fusarium head blight<br />

Geddes, J. (1), Eudes, F. (1), Legge, B. (2), Tucker, J. (2)<br />

1: Agriculture and Agri-Food Canada, Lethbridge, AB T1J 4B1<br />

2: Agriculture and Agri-Food Canada, Brandon, MB R7A 5Y3<br />

Fusarium Head Blight (FHB) is one <strong>of</strong> <strong>the</strong> most devastating diseases affecting <strong>the</strong> production <strong>of</strong><br />

barley and o<strong>the</strong>r cereal grains throughout Canada and <strong>the</strong> world. FHB infection results in drastic<br />

decreases in crop yield and severe reduction in grain quality. The most common species causing<br />

FHB in North America is Fusarium graminearum (Schwab). The fungus produces mycelical<br />

extensions that rapidly spread among <strong>the</strong> florets, leaving shrivelled kernels and floral pieces covered<br />

with a pink or white film <strong>of</strong> mycelium displaying elevated deoxynivalenol (DON) levels. 19 barley<br />

lines representing FHB candidate resistance and susceptible sources were point inoculated or spray<br />

inoculated in <strong>the</strong> greenhouse with 40,000M/ml <strong>of</strong> F. graminearum macroconidia. Following<br />

inoculation barley plants were kept at 24°C and 95% humidity for 3 days to favour disease<br />

establishment and were <strong>the</strong>n returned to normal growing conditions at 21°C without humidity control<br />

(45%). 18 days post-inoculation heads were collected and spikelets displaying symptoms <strong>of</strong> FHB<br />

infection were rated for progression <strong>of</strong> <strong>the</strong> disease. These lines were also evaluated in <strong>the</strong> Brandon,<br />

MB nursery from 2000-2004. The number <strong>of</strong> discoloured spikelets produced by point inoculation,<br />

indoor spray inoculation, and disease and DON assessment were compared for each <strong>of</strong> <strong>the</strong> 19 lines.<br />

<strong>Barley</strong> lines representing candidate sources <strong>of</strong> FHB resistance or susceptible FHB sources showed<br />

varying degrees <strong>of</strong> symptoms due to fungal infection in <strong>the</strong> three tests. <strong>Barley</strong> lines representing<br />

more or intermediate FHB resistant sources showed consistent levels <strong>of</strong> resistance in <strong>the</strong> three tests.<br />

Artificial inoculation methods and DON quantification enable us to rate <strong>the</strong> level <strong>of</strong> resistance <strong>of</strong> <strong>the</strong><br />

barley lines, with confidence. A higher level <strong>of</strong> FHB resistance will guarantee lower risks for <strong>the</strong><br />

farmer associated with crop losses due to reduced grain yield, low quality grain, and DON<br />

contamination.<br />

- 75 -


Session 2: Pathology and Entomology – Poster abstracts<br />

Reactions <strong>of</strong> barley lines to leaf rust, caused by Puccinia hordei<br />

Y. Sun (1), J. D. Franckowiak (2), and, S. M. Neate (1)<br />

(1) Department <strong>of</strong> Plant Pathology, North Dakota State University, Fargo, ND 58105;<br />

(2) Department <strong>of</strong> plant sciences, North Dakota State University, Fargo, ND 58105 USA.<br />

Resistant barley cultivars are <strong>the</strong> most economical and efficient means <strong>of</strong> controlling leaf rust caused<br />

by Puccinia hordei G. Otth. However, changing virulence in P. hordei has rendered ineffective<br />

many <strong>of</strong> <strong>the</strong> known resistance genes. In this study, isolates ‘Race 8’, ‘90-3’, ’90-15’, ‘89-3’, and<br />

‘Neth 202’ <strong>of</strong> P. hordei were used in <strong>the</strong> greenhouse to differentiate resistance genes in a collection<br />

<strong>of</strong> 82 selected barley lines. These lines exhibited resistance in <strong>the</strong> previous tests against isolate ‘Race<br />

8’ at <strong>the</strong> seedling stage. <strong>Barley</strong> line ‘C2-02-134-2-2’ exhibited low reaction types to all <strong>the</strong> tested leaf<br />

rust isolates, suggesting that in addition to an already introduced resistance gene, Rph15, it possesses<br />

one or more new resistance genes. The F2 population <strong>of</strong> a cross made between ‘C2-02-134-2-2’ and a<br />

susceptible line ‘ZA47’ which was challenged with isolate ‘Race 8’, segregated into a 15:1 resistant<br />

to susceptible ratio (X 2 =0.853) based on disease reaction. The 15:1 segregation ratio indicates that<br />

‘C2-02-134-2-2’ possesses two genes, Rph15 and a new single dominant resistance gene. In <strong>the</strong> F2,<br />

<strong>the</strong> Rph15 phenotype (00;) was separated from <strong>the</strong> new resistance gene phenotype (0;12-). To isolate<br />

<strong>the</strong> new gene from Rph15, <strong>the</strong> 10 F2 plants bearing <strong>the</strong> new phenotype were transplanted and selfed<br />

and <strong>the</strong> F3 will be screened for homogeneity <strong>of</strong> disease reaction. The identification <strong>of</strong> <strong>the</strong> new<br />

resistance gene(s) and incorporation <strong>of</strong> <strong>the</strong>m into barley cultivars will add in reducing yield losses<br />

due to leaf rust.<br />

- 76 -


Chair<br />

Patricia Juskiw<br />

Session 3: Malting and Brewing Quality<br />

Tuesday, July 19, 2005 – a.m.<br />

Session 3: MALTING AND BREWING QUALITY<br />

Presenters<br />

Rob McCaig, <strong>Canadian</strong> Malting <strong>Barley</strong> Technical Centre<br />

Berne Jones, USDA<br />

Marta Izydorczyk, Grain Research Laboratory, <strong>Canadian</strong> Grain Commission<br />

Michael Edney, Grain Research Laboratory, <strong>Canadian</strong> Grain Commission<br />

Jim Helm, Field Crop Development Centre<br />

- 77 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

Brewing and Malting: Where are we and more importantly, where are we<br />

going?<br />

Rob McCaig<br />

<strong>Canadian</strong> Malting <strong>Barley</strong> Technical Centre<br />

Brewing<br />

• There is a tremendous amount <strong>of</strong> change taking place in <strong>the</strong> industry<br />

• Most <strong>of</strong> industrialized nations declining in production, slack being taken up by Asia (China,<br />

Vietnam), India, Mexico, Columbia, Russia – growth in <strong>the</strong>se areas approaching double<br />

figures<br />

• World beer production growing at a steady pace<br />

• In terms <strong>of</strong> production area, North America has declined from 24% <strong>of</strong> beer produced in 1998<br />

to 17% today, while Asia and South America have split that new volume<br />

• China is now number 1 beer producer in <strong>the</strong> world<br />

- 78 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

• 64% <strong>of</strong> <strong>the</strong> beer produced in Asia is brewed in China, growth is in double digits for past 5<br />

years<br />

• The brewing world is in a major consolidation phase – bigger is better, more economical,<br />

global brands<br />

2002 Global brewers ranking 2005 Global Brewers Ranking<br />

1 Anheuser-Busch 122.4 million hl Inbev 143.6 million hl<br />

2 SABMiller 110 million hl, SABMiller 133.5 million hl,<br />

3 Heineken 92.9 million hl, Anheuser-Busch 128.1 million hl<br />

4 Interbrew 92 million hl Heineken 94.5 million hl,<br />

5 Carlsberg 68.6 million hl Molson Coors 49 million hl<br />

6 Companhia de Bebidas das Americas 55 Carlsberg 35.8 million hl<br />

million hl<br />

7 Scottish and Newcastle group 45 million hl Scottish Courage 32.4 million hl<br />

8 Grupo Modelo 33.4 million hl Grupo Modelo 33.4 million hl<br />

9 Coors 32.4 million hl Kirin 30 million hl<br />

10 Kirin 30.7 million hl BBH 30 million hl<br />

The future “supercompanies and <strong>the</strong>ir affiliates”?<br />

Continent Inbev SABMiller AB Heineken<br />

NA<br />

Modelo<br />

Labatt<br />

Miller AB Molson Coors<br />

SA Ambev<br />

Bavaria/Kaiser<br />

Europe Interbrew<br />

Guinness<br />

Rest <strong>of</strong> World<br />

China<br />

Asia<br />

Interbrew<br />

Guinness<br />

Scottish<br />

Courage<br />

CRE<br />

SAB<br />

Scottish<br />

Courage<br />

Tsingdoa<br />

Harbin<br />

Heineken<br />

Coors/Bars<br />

Heineken<br />

Africa<br />

Guinness SAB/Castal Fosters Heineken<br />

Oceania<br />

Fosters<br />

Total Volume (hL) 330 220 180 180<br />

- 79 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

• World beer consumption continues to increase<br />

• Per-capita volume in China is very low (18 L per annum),<br />

- 80 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

• Many factors affect consumption in <strong>the</strong> mature markets including:<br />

o Demographics<br />

o Lifestyle<br />

o Drinking and Driving<br />

o Growth <strong>of</strong> O<strong>the</strong>r Beverages<br />

o Price (Taxes)<br />

• Aging population trend<br />

• Growth <strong>of</strong> travel = growth <strong>of</strong> imports<br />

• Decline in per capita consumption – trend to wine, coolers<br />

• Tax burden on beer<br />

o Look at Happoshu growth in Japan<br />

• Current and Future brewing trends<br />

o Breweries are Traditional Incremental changes – no breakthroughs<br />

o Economic considerations High gravity, more use <strong>of</strong> adjuncts, hulless barley<br />

o Increased “quality”<br />

o Use <strong>of</strong> technology – on-line / at-line, NIR, Neural Networks, electronic nose<br />

o Energy use reduction - Wort Boiling<br />

o Environmental Issues - D.E. Replacement<br />

- 81 -


Malting<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

• Also going through consolidation<br />

• Malting barley trade is increasing yearly, but fluctuates according to <strong>the</strong> harvest<br />

Million tonnes<br />

7,000<br />

6,000<br />

5,000<br />

4,000<br />

3,000<br />

World Malting <strong>Barley</strong> Outlook<br />

2,833<br />

4,493<br />

5 yr ave<br />

= 3 801 MT<br />

5,600<br />

6,400<br />

2,000<br />

1994-95 1997-98 2000-01 2006-07<br />

2011-12<br />

- 82 -


16<br />

12<br />

8<br />

4<br />

0<br />

Million<br />

tonnes<br />

11.7<br />

13.0<br />

15.6<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

<strong>Canadian</strong> <strong>Barley</strong> Production<br />

13.5<br />

12.7<br />

13.2 13.2<br />

10.8<br />

7.3<br />

10 year average<br />

= 12.6 MT<br />

12.5<br />

13.0<br />

1994-95 1996-97 1998-99 2000-01 2002-03 2004-05<br />

• Selectable average for malting barley in Canada around 2 million tones<br />

• Two-row is taking over, less 6-row<br />

• Six-row mostly goes to <strong>the</strong> US<br />

1.6<br />

1.2<br />

0.8<br />

0.4<br />

0.0<br />

<strong>Canadian</strong> Malting <strong>Barley</strong> Exports<br />

0.53<br />

0.47<br />

96-97 98-99 00-01 02-03 04-05<br />

0.20<br />

0.15<br />

0.70<br />

0.30<br />

6R 2R<br />

- 83 -<br />

0.45<br />

0.05


Session 3: Malting and Brewing Quality – Oral presentations<br />

Major Markets for <strong>Canadian</strong> Malting <strong>Barley</strong><br />

1997-01 2002-2003 2003-2004<br />

Canada 1,070 570 981 (90% 2R)<br />

U.S.A. 600 200 420 (58% 6R / 42% 2R )<br />

China 470 43 460 (96% 2R)<br />

S. Africa 20 85 71 (2R Metcalfe)<br />

South America 12 0 124 (2R Metcalfe)<br />

Japan 42 30 22 (B1602 / 2R)<br />

Mexico 51 4 22 (90% 2R)<br />

Total 2,265 932 2,100<br />

Percentage<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Percentage <strong>of</strong> <strong>Barley</strong> Area by Variety Type<br />

1999 2000 2001 2002 2003 2004<br />

Year<br />

- 84 -<br />

Two-row malting<br />

Six-row malting<br />

Feed<br />

Hulless


Session 3: Malting and Brewing Quality – Oral presentations<br />

Company Location Capacity(MT)<br />

Canada Malting Calgary, Alberta 260,000<br />

(Conagra) Thunder Bay, Ontario 130,000<br />

Montreal, Quebec 80,000<br />

Prairie Malt Biggar, Saskatchewan 220,000<br />

(Cargill)<br />

Rahr Malting Alix, Alberta 140,000<br />

IMC Winnipeg, Manitoba 92,000<br />

Total 922,000<br />

- 85 -


Malting Future Trends<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

• A search for meaningful analysis<br />

o Does <strong>the</strong> current analysis meet <strong>the</strong> brewers needs?<br />

o Brewing problems are seldom explained by malt analysis --- <strong>the</strong> heterogeneity<br />

problem<br />

o Kirin and SAB have specific tests for yeast flocculation<br />

o Haze prediction?<br />

• No blending to meet specification<br />

• Continuing slow expansion <strong>of</strong> specialty malts<br />

• Using Biotechnology<br />

o Speed up breeding cycle<br />

o Genome mapping – QTL, marker assisted selection<br />

o New quality characteristics<br />

• More varieties to choose from<br />

• Proprietary varieties<br />

• How many varieties?<br />

• Shorter variety lifespan<br />

• Higher extract - hulless barley, etc.<br />

• Biotechnology solutions to present problems<br />

• A breakthrough GM barley – fusarium resistant?<br />

Industry Future Trends<br />

• Single malt - Single Wort - Single Yeast<br />

• Engineering Solutions to Wort Separation<br />

• Engineering Solutions to Flavour Stability<br />

• Division Between Large and Small Production Units<br />

• Fewer “gimmicks”<br />

• A Functional Food?<br />

o You are what you eat<br />

o Beneficial effects <strong>of</strong> alcohol<br />

o Antioxidants – polyphenols<br />

o Medicinal properties <strong>of</strong> hops<br />

- 86 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

The endoproteinases <strong>of</strong> barley and malt and <strong>the</strong>ir endogenous inhibitors<br />

Berne L. Jones<br />

RR1, Box 6, Kooskia, Idaho<br />

Introduction<br />

During <strong>the</strong> malting and brewing processes, a portion <strong>of</strong> <strong>the</strong> barley proteins must be degraded to<br />

amino acids and small peptides. Among o<strong>the</strong>r problems, if too little protein hydrolysis occurs<br />

<strong>the</strong>re will be insufficient low molecular weight nitrogenous compounds in <strong>the</strong> wort for optimal<br />

yeast nourishment. Alternatively, too much hydrolysis will deplete <strong>the</strong> wort <strong>of</strong> proteins that are<br />

necessary for good beer foam formation, mouth feel, etc. The endoproteinases <strong>of</strong> barley and malt<br />

are <strong>the</strong> enzymes that initially catalyze <strong>the</strong> hydrolysis <strong>of</strong> <strong>the</strong> insoluble barley storage proteins, and<br />

thus play major roles in determining whe<strong>the</strong>r or not a given barley variety will be useful for<br />

malting and brewing. It is imperative that we understand how, when, and why <strong>the</strong>se enzymes<br />

function if new barleys with improved malting quality are to be developed or if malting or<br />

brewing methods are to be efficiently altered to produce worts that have improved soluble/<br />

insoluble protein levels. The mixture <strong>of</strong> proteins, peptides and amino acids that ends up in a wort<br />

due to <strong>the</strong>se endoproteolytic activities is termed its ‘soluble protein’ or ‘SP’ level.<br />

To understand <strong>the</strong> protein hydrolysis that occurs during malting and mashing it is necessary to<br />

study not only <strong>the</strong> endoproteinases but also groups <strong>of</strong> proteins, called proteinase inhibitors, that<br />

interact with <strong>the</strong> proteinases and control <strong>the</strong>ir activities. Ungerminated barley contains only<br />

relatively small amounts <strong>of</strong> both endoproteinase enzymes and <strong>the</strong>ir protease inhibitors. During<br />

<strong>the</strong> germination process <strong>the</strong> proteolytic activities increase many fold and <strong>the</strong> endogenous<br />

proteinase inhibitor content increases to a lesser extent.<br />

<strong>Barley</strong> malt contains multiple representatives <strong>of</strong> each <strong>of</strong> <strong>the</strong> four commonly occurring proteinase<br />

types, i.e. those belonging to <strong>the</strong> aspartic, cysteine, serine and metalloproteinase classes. Early<br />

studies on barley and malt indicated that <strong>the</strong> cysteine and metalloproteinases were probably <strong>the</strong><br />

main ones responsible for hydrolyzing protein during seed germination and that <strong>the</strong> grain<br />

probably contained endogenous inhibitors that could inhibit <strong>the</strong> activities <strong>of</strong> members <strong>of</strong> both <strong>of</strong><br />

<strong>the</strong>se enzyme classes. The members <strong>of</strong> each <strong>of</strong> <strong>the</strong> four proteinase types can be specifically<br />

inhibited by one <strong>of</strong> four chemicals. These chemical inhibitors and <strong>the</strong>ir target proteases are: E-<br />

64 (cysteine proteinases), o-phenanthroline or o-phen (metalloproteinases), pepstatin A (aspartic<br />

proteases) and PMSF (serine enzymes).<br />

Enzyme purifications and analyses<br />

Several laboratories have purified and characterized different barley and malt endoproteinases, as<br />

listed in Table 1. Of <strong>the</strong>se purified enzymes, some <strong>of</strong> <strong>the</strong> cysteine and metalloproteinases were<br />

able to hydrolyze hordein protein preparations. The hordeins are <strong>the</strong> main storage proteins <strong>of</strong><br />

barley and are presumably <strong>the</strong> major proteins that need to be hydrolyzed during seed germination<br />

and malt mashing. None <strong>of</strong> <strong>the</strong> purified aspartic or serine class enzymes hydrolyzed <strong>the</strong>se<br />

storage proteins. Using <strong>the</strong> substrates gelatin and edestin, over 40 proteinase activities were<br />

detected using 2-D IEF x PAGE gels.<br />

- 87 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

During <strong>the</strong>se and o<strong>the</strong>r purification and characterization studies, nearly all <strong>of</strong> <strong>the</strong> enzyme activity<br />

analyses were carried out at abnormally low pH values and in <strong>the</strong> presence <strong>of</strong> added reducing<br />

agents, because <strong>the</strong>se conditions usually yielded maximal activity values. It is now known that<br />

<strong>the</strong>se low pH and reducing conditions lead to artificially high cysteine and aspartic proteinase<br />

activities and underestimate <strong>the</strong> serine and metalloproteinase activities. In addition, many <strong>of</strong> <strong>the</strong><br />

activity measurements did not yield true initial enzyme reaction rates and<br />

Table 1. <strong>Barley</strong>/Malt enzymes that have been purified<br />

Enzyme class # purified, (# distinct enzymes) hydrolyze hordeins?<br />

1<br />

Cysteine 5, (3) Yes<br />

Aspartic 1, plus 4 processing variants No<br />

Serine 2, (2) No<br />

Metallo A group, 3 major and 6 minor forms Yes<br />

1 Some enzymes were purified by multiple researchers<br />

<strong>of</strong>ten <strong>the</strong> proteins that were used as substrates were not readily hydrolyzed by members <strong>of</strong> all <strong>of</strong><br />

<strong>the</strong> proteinase classes. For <strong>the</strong>se reasons, many <strong>of</strong> <strong>the</strong> endoproteinase activity measurements that<br />

have been made with both crude and purified barley/malt endoproteinases have not really been<br />

very relevant to what actually occurs during <strong>the</strong> malting <strong>of</strong> barley grains and in brewery mashes.<br />

The effects <strong>of</strong> pH and redox agents on malt proteinases<br />

After it was discovered that <strong>the</strong> pH values and redox states <strong>of</strong> mashes strongly affected <strong>the</strong>ir<br />

proteolytic activities, quantitative studies were carried out to measure how <strong>the</strong>se variables<br />

affected <strong>the</strong> protein solubilization that occurred during mashing (1). Mashing is carried out at<br />

about pH 5.9 in North America and <strong>the</strong> pH inside germinating barley grains is around 4.8, so<br />

experimental mashes were carried out at pH values that varied from 5.0 to 6.6. Over this pH<br />

range <strong>the</strong> mash proteolytic activity varied by over 7 fold and <strong>the</strong> SP levels <strong>of</strong> <strong>the</strong> final worts<br />

ranged from 4.8% to 7.0%, with <strong>the</strong> pH 5.9 value being 5.7%, which is a normal value for <strong>the</strong><br />

varieties tested. This demonstrated several things; 1) that <strong>the</strong> SP level <strong>of</strong> a wort can be strongly<br />

and easily varied by adjusting <strong>the</strong> pH <strong>of</strong> its mash, 2) that any extract or mash proteinase activity<br />

measurements that are made at pH values below 5.9 are not relevant to what really happens in a<br />

mash and 3) that <strong>the</strong> rate <strong>of</strong> protein hydrolysis during malting, at pH 4.8, is probably much<br />

slower than what it is during mashing.<br />

The addition <strong>of</strong> cysteine, a weak reducing agent, to mashes increased <strong>the</strong>ir proteolysis rates by<br />

over 3 fold and <strong>the</strong>ir wort SP levels were raised from 5.5% to 7.3% (1). These effects were<br />

negated when oxidizing agents were added to <strong>the</strong> mashes toge<strong>the</strong>r with <strong>the</strong> cysteine, and similar<br />

effects were found when stronger reducing agents were added to mashes. This shows that, as<br />

with pH adjustments, <strong>the</strong> presence <strong>of</strong> redox agents in mashes can strongly shift <strong>the</strong> SP levels <strong>of</strong><br />

<strong>the</strong>ir worts. Many <strong>of</strong> <strong>the</strong> previously measured proteolysis rates, determined in <strong>the</strong> presence <strong>of</strong><br />

reducing agents, were probably incorrect. It has been proposed that redox reactions may<br />

naturally occur in seeds during germination. If so, that would probably influence <strong>the</strong> rate at<br />

which protein solubilization occurs during both malting and mashing.<br />

- 88 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

How <strong>the</strong> various malt proteinase classes affect wort soluble protein levels<br />

Based on <strong>the</strong> early proteinase activity measurements, <strong>the</strong> dogma had become accepted that <strong>the</strong><br />

great majority <strong>of</strong> <strong>the</strong> protein solubilization that occurred during malting and mashing was due to<br />

<strong>the</strong> cysteine class proteinase activities, with possibly some contribution from <strong>the</strong> aspartic and<br />

metalloproteinases. When <strong>the</strong> effect <strong>of</strong> pH and reducing agents on soluble protein levels was<br />

noticed, however, it seemed possible that this perceived preponderance <strong>of</strong> cysteine proteinase<br />

activity was an artifact, because <strong>the</strong>se enzymes are <strong>the</strong> ones that would have been most strongly<br />

activated by both <strong>the</strong> low pH and strongly reducing conditions. The serine and metalloproteinase<br />

activities would actually have been reduced under <strong>the</strong> low pH conditions.<br />

When is <strong>the</strong> soluble protein <strong>of</strong> worts released?<br />

In order to ascertain <strong>the</strong> relative contributions <strong>of</strong> <strong>the</strong> malting and mashing steps to <strong>the</strong> release <strong>of</strong><br />

SP to worts, barleys and malts were extracted and mashed in <strong>the</strong> presence and absence <strong>of</strong><br />

chemical proteinase inhibitors (2). With both Morex (6-rowed) and Harrington (2-rowed)<br />

barleys about 32% <strong>of</strong> <strong>the</strong> wort SP was already soluble in ungerminated barley grains, 46% was<br />

solubilized during malting and <strong>the</strong> final 22% was released during mashing at pH 6.0. This<br />

indicates that while <strong>the</strong> majority <strong>of</strong> <strong>the</strong> protein hydrolysis occurred during malting, almost a<br />

quarter <strong>of</strong> <strong>the</strong> wort SP was solubilized during mashing, when conditions for altering <strong>the</strong><br />

proteolytic activities that control its release can be readily regulated.<br />

The contributions <strong>of</strong> <strong>the</strong> various endoproteinase classes to wort soluble protein levels<br />

To determine what portion <strong>of</strong> <strong>the</strong> final wort SP content was contributed by each <strong>of</strong> <strong>the</strong> four<br />

protease classes, mashes were carried out in <strong>the</strong> presence <strong>of</strong> each <strong>of</strong> <strong>the</strong> four class-specific<br />

chemical inhibitors (2). The results are shown in Table 2. These show that, under<br />

Table 2. The inhibition <strong>of</strong> soluble protein formation by class-specific inhibitors during mashing<br />

Protease class % inhibition 1<br />

Cysteine 3<br />

% inhibition, ASBC mash 2<br />

Morex Harrington Average Morex Harrington<br />

12 12 12 12 11<br />

Aspartic 7 9 8 5 6<br />

Serine 1 4 3 0 3<br />

Metallo 9 14 12 13 16<br />

1<br />

Average <strong>of</strong> mashing with 3 malt concentrations.<br />

2<br />

Average <strong>of</strong> 3 experiments.<br />

3<br />

Inhibitors were, respectively, E-64, pepstatin A, PMSF and o-phen.<br />

<strong>the</strong>se standard mashing conditions, <strong>the</strong> cysteine class proteinases are not <strong>the</strong> only ones that<br />

release SP into <strong>the</strong> worts. Because <strong>of</strong> <strong>the</strong> complexity <strong>of</strong> <strong>the</strong>se experiments <strong>the</strong>re was substantial<br />

variation in <strong>the</strong> results obtained, but it is obvious that <strong>the</strong> metalloproteinases released as much SP<br />

as <strong>the</strong> cysteine proteinases, that <strong>the</strong> aspartic enzymes released SP, but at a slower rate, and that<br />

<strong>the</strong> serine proteases hydrolyzed little or no protein.<br />

- 89 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

These findings correlate fairly well with <strong>the</strong> results obtained by <strong>the</strong> researchers who purified and<br />

characterized <strong>the</strong> various barley/malt proteinases. The two enzyme classes whose purified<br />

members hydrolyzed barley storage proteins, <strong>the</strong> cysteine and metalloproteinases, apparently<br />

catalyze <strong>the</strong> majority <strong>of</strong> <strong>the</strong> hydrolysis <strong>of</strong> <strong>the</strong> storage proteins into SP and <strong>the</strong> serine proteinases,<br />

nei<strong>the</strong>r <strong>of</strong> whose purified forms hydrolyzed hordein preparations, also did not release SP during<br />

mashing. On <strong>the</strong> o<strong>the</strong>r hand, even though <strong>the</strong> one aspartic proteinase that has been studied in<br />

depth has only been shown to hydrolyze one non-plant protein, enzymes <strong>of</strong> this class apparently<br />

do hydrolyze proteins during mashing, but at a slower rate than ei<strong>the</strong>r <strong>the</strong> cysteine or<br />

metalloproteinases. This indicates that <strong>the</strong>re are probably o<strong>the</strong>r, still unpurified, aspartic class<br />

proteases in malt that carry out this hydrolysis. This hypo<strong>the</strong>sis is streng<strong>the</strong>ned by <strong>the</strong> fact that<br />

electrophoretic studies have demonstrated that several aspartic class proteinases occur in malt.<br />

These SP-releasing aspartic protease forms still need to be purified and characterized.<br />

From <strong>the</strong>se recent findings, as well as from <strong>the</strong> 1970 report that showed that malt contained<br />

substantial levels <strong>of</strong> metalloproteinases, it is obvious that <strong>the</strong> question <strong>of</strong> how proteins are<br />

solubilized during mashing needs to be reconsidered. The large apparent contribution <strong>of</strong> <strong>the</strong><br />

metalloproteinases to <strong>the</strong> formation <strong>of</strong> SP shows that <strong>the</strong>se enzymes need to be studied in detail.<br />

To date, only a single in-depth study <strong>of</strong> <strong>the</strong> barley/malt metalloproteinases has been carried out<br />

and very few metalloproteases from any plants have been studied.<br />

<strong>Barley</strong> and malt proteins that inhibit <strong>the</strong>ir endogenous endoproteinases<br />

In <strong>the</strong> early 1960s it was noted that <strong>the</strong> addition <strong>of</strong> unmalted cereal flours to mashes led to worts<br />

that would not ferment. This problem was traced to <strong>the</strong> fact that <strong>the</strong> worts did not contain<br />

enough low molecular weight nitrogenous compounds to support good yeast growth. This low<br />

wort nitrogen problem was in turn traced back to <strong>the</strong> fact that ungerminated wheat and barley<br />

both contained compounds that inhibited <strong>the</strong> abilities <strong>of</strong> certain <strong>of</strong> <strong>the</strong> malt endoproteinases to<br />

hydrolyze storage proteins into SP. It was eventually ascertained that <strong>the</strong>se endogenous<br />

proteinase inhibitors interfered with <strong>the</strong> activities <strong>of</strong> <strong>the</strong> cysteine class and metalloproteinases.<br />

Metalloproteinase inhibitors. Because <strong>the</strong> significance <strong>of</strong> <strong>the</strong> contribution <strong>of</strong> <strong>the</strong><br />

metalloproteinases to SP formation during mashing has only recently been demonstrated, <strong>the</strong><br />

metalloproteinase inhibitors have scarcely been studied. However, in view <strong>of</strong> <strong>the</strong> facts discussed<br />

above, which show that <strong>the</strong>se enzymes probably play a major part in SP production, both <strong>the</strong>se<br />

proteinases and <strong>the</strong>ir endogenous inhibitors obviously deserve to be studied in detail. The malt<br />

metalloproteinases have proven to be particularly recalcitrant to purification and characterization<br />

and one reason for this could be that <strong>the</strong>y bind to <strong>the</strong>ir endogenous inhibitors as soon as extracts<br />

are prepared, and are thus rendered inactive.<br />

Cysteine protease inhibitors. Conversely, <strong>the</strong> inhibitors <strong>of</strong> <strong>the</strong> cysteine proteases, <strong>the</strong> o<strong>the</strong>r main<br />

enzymes responsible for SP formation during mashing, have been studied in depth and two <strong>of</strong><br />

<strong>the</strong>m have been purified, identified and characterized in detail (2). Both are proteins that belong<br />

to <strong>the</strong> lipid transfer protein (LTP) family. The major form is apparently a form <strong>of</strong> LTP1 that has<br />

been slightly modified and <strong>the</strong> o<strong>the</strong>r is LTP2. Two o<strong>the</strong>r inhibitory fractions have been isolated<br />

from barley malt and <strong>the</strong>y also appear to be contain altered forms <strong>of</strong> LTP1. The amount <strong>of</strong> <strong>the</strong><br />

inhibitory LTP1 increases about 3 fold during malting and <strong>the</strong> protein binds strongly to <strong>the</strong><br />

cysteine endoproteinases, whose concentrations increase even more strikingly during malting.<br />

- 90 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

The LTP1-enzyme complex is readily broken when heated to 100 o C, upon which <strong>the</strong> enzyme is<br />

inactivated and precipitated. The heating does not, however, affect <strong>the</strong> inhibitory LTP1<br />

molecule, and this characteristic has been used to develop an LTP1-enzyme ‘affinity’ method for<br />

concentrating and partially purifying <strong>the</strong> endogenous inhibitors <strong>of</strong> <strong>the</strong> cysteine and serine<br />

proteinases <strong>of</strong> malt. It has not been possible to dissociate <strong>the</strong> LTP1- cysteine endoproteinase<br />

complex without inactivating <strong>the</strong> enzymes that are involved.<br />

When added to mashes <strong>the</strong> purified LTP1 inhibitor strongly inhibited <strong>the</strong>ir endoproteolytic<br />

activities and lowered <strong>the</strong> SP content <strong>of</strong> <strong>the</strong> resulting worts, so increasing or reducing its<br />

concentration in mashes could provide a ‘natural’ method for altering <strong>the</strong> SP contents <strong>of</strong> worts.<br />

It is not known whe<strong>the</strong>r or not <strong>the</strong> LTP molecules interact with <strong>the</strong> endoproteinases inside<br />

germinating barley seeds. If so, <strong>the</strong>n altering <strong>the</strong> natural concentrations <strong>of</strong> <strong>the</strong>se molecules<br />

would presumably also affect <strong>the</strong> amount <strong>of</strong> SP that is released during malting. Because <strong>the</strong><br />

cysteine proteases are very active in producing SP, adjusting <strong>the</strong> levels <strong>of</strong> <strong>the</strong>ir natural inhibitors<br />

should have a significant effect on wort compositions.<br />

Serine proteinase inhibitors. It has been known for many years that barleys and malts both<br />

contained a family <strong>of</strong> proteins that have been called <strong>the</strong> ‘chlor<strong>of</strong>orm-methanol’, or ‘CM’,<br />

proteins. Because one <strong>of</strong> <strong>the</strong>se proteins clearly acted as an inhibitor <strong>of</strong> <strong>the</strong> bovine serine<br />

proteinase called trypsin, <strong>the</strong>se proteins have also been called ‘trypsin/α-amylase inhibitors’ and<br />

it had been proposed that some <strong>of</strong> <strong>the</strong>m might inhibit <strong>the</strong> activities <strong>of</strong> barley serine proteinases.<br />

However, none had been shown to affect <strong>the</strong> barley enzymes. In my laboratory we purified a<br />

barley serine proteinase called SEP-1 and showed that barley contained proteins that inhibited its<br />

activity. Using <strong>the</strong> proteinase-inhibitor affinity method discussed above, we purified, isolated<br />

and characterized four <strong>of</strong> <strong>the</strong> most effective SEP-1 inhibitors and showed that <strong>the</strong>y were all<br />

members <strong>of</strong> <strong>the</strong> CM protein family. The barley contained additional SEP-1 inhibitors that were<br />

apparently less potent and <strong>the</strong>se have not yet been studied.<br />

Because <strong>the</strong> serine endoproteinases do not appear to directly contribute to <strong>the</strong> hydrolysis <strong>of</strong><br />

proteins during mashing, <strong>the</strong>se inhibitors would presumably not affect <strong>the</strong> SP content <strong>of</strong> mashes.<br />

However, <strong>the</strong>y could affect wort compositions by indirectly controlling <strong>the</strong> proteolysis that<br />

occurs during <strong>the</strong> germination/malting process, since <strong>the</strong>ir true functions in <strong>the</strong> grain are still<br />

unknown.<br />

Summary<br />

Due to <strong>the</strong> use <strong>of</strong> inaccurate analytical methods, most <strong>of</strong> <strong>the</strong> past dogma that related to <strong>the</strong><br />

solubilization <strong>of</strong> proteins during malting and mashing is probably incorrect. The cysteine<br />

proteinases do not uniquely control <strong>the</strong> formation <strong>of</strong> SP, but share this duty with <strong>the</strong> aspartic and,<br />

to an even greater extent, <strong>the</strong> metalloproteinases. A good, inclusive study <strong>of</strong> <strong>the</strong> malt<br />

metalloproteinases needs to be carried out, including a determination <strong>of</strong> what <strong>the</strong><br />

metalloproteinase inhibiting compounds <strong>of</strong> malt are that were reported many years ago. In<br />

addition, it always needs to be remembered that it is not simply <strong>the</strong> presence <strong>of</strong> <strong>the</strong> barley/malt<br />

endoproteinases that controls <strong>the</strong> amount, and probably <strong>the</strong> type, <strong>of</strong> SP that occurs in worts. By<br />

controlling <strong>the</strong> activities <strong>of</strong> <strong>the</strong>se enzymes, <strong>the</strong> various proteinaceous endogenous inhibitors<br />

could, and probably do, determine what proteins are really hydrolyzed during mashing and,<br />

possibly, during malting.<br />

- 91 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

This report is a greatly condensed version <strong>of</strong> two papers that are in press/submitted to J. Cereal<br />

Sci. (3,4) and any interested parties should consult <strong>the</strong>m when <strong>the</strong>y are published.<br />

References<br />

(1) Jones, B.L. and Budde, A.D. The effect <strong>of</strong> reducing and oxidizing agents and pH on malt<br />

endoproteolytic activities and on malt mashes. J. Agric. Food Chem. 2003, 51, 7504-7512.<br />

(2) Jones, B.L. and Budde, A.D. How various malt endoproteinase classes affect wort soluble<br />

protein levels. J. Cereal Sci. 2005, 41, 95-106.<br />

(3) Jones, B.L. Endoproteases <strong>of</strong> barley and malt. J. Cereal Sci. 2005, In Press.<br />

(4) Jones, B.L. The endogenous endoproteinase inhibitors <strong>of</strong> barley and malt. J. Cereal Sci.<br />

2005, Submitted.<br />

- 92 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

Molecular structure and degradation patterns <strong>of</strong> endosperm cell walls from<br />

barley differing in hardness and beta-glucan and protein contents<br />

M.S. Izydorczyk (1), A. Lazaridou (2), T. Chornick (1), L. Dushnicky (1)<br />

1. Grain Research Laboratory, CGC, Winnipeg, MB, Canada; email:mizydorczyk@grainscanada.gc.ca<br />

2. Department <strong>of</strong> Food Science, University <strong>of</strong> Manitoba, Winnipeg, MB, Canada<br />

Introduction<br />

The walls surrounding <strong>the</strong> cells <strong>of</strong> <strong>the</strong> starchy endosperm <strong>of</strong> barley must be effectively degraded<br />

during malting if problems with extract yield, wort and beer filtration, and beer clarity are to be<br />

avoided. While it is possible to select barley varieties for malting on <strong>the</strong> basis <strong>of</strong> low levels <strong>of</strong><br />

beta-glucans, <strong>the</strong>re is no clear relationship between beta-glucan content and malt quality.<br />

Although beta-glucans are <strong>the</strong> major constituents <strong>of</strong> <strong>the</strong> endosperm cell walls, o<strong>the</strong>r<br />

polysaccharides may also contribute to <strong>the</strong> overall quality <strong>of</strong> malting barley. The coexistence <strong>of</strong><br />

several biopolymers in <strong>the</strong> cell walls, <strong>the</strong>ir spatial organization, and <strong>the</strong> nature <strong>of</strong> interactions<br />

(cross-linking) among <strong>the</strong>m might contribute to <strong>the</strong> mechanical strength, permeability, and<br />

solubility, and <strong>the</strong>refore to enzymic susceptibility <strong>of</strong> cell walls during malting. The influence <strong>of</strong><br />

composition and properties <strong>of</strong> <strong>the</strong> endosperm cell walls on kernel hardness has not been studied<br />

in detail, although some relationships between hardness and cell walls have been suggested.<br />

The objectives <strong>of</strong> this study were (1) to examine compositional and structural differences in<br />

endosperm cell wall components derived from barley grains varying in hardness, protein and<br />

total beta-glucan contents, (2) to investigate <strong>the</strong> enzymic degradation <strong>of</strong> isolated barley<br />

endosperm cell walls, and (3) to determine how <strong>the</strong> differences in composition and morphology<br />

<strong>of</strong> <strong>the</strong> cell walls influence <strong>the</strong>ir solubility, susceptibility to enzymatic hydrolysis, and degradation<br />

patterns.<br />

Materials and methods<br />

Three malting barley samples (cv. Metcalfe) were grown in 2003 in 3 different locations in<br />

Canada (A: Davidson, SK; B: Hy<strong>the</strong>, AB; C: Hamiota, MB). Grain hardness was measured with<br />

<strong>the</strong> SKCS 4100 (Perten Instruments Inc., IL). Endosperm cell walls were isolated from a fiber<br />

rich fraction obtained by roller milling <strong>of</strong> pearled barley, followed by pin milling and dry<br />

sieving. Wet sieving (with 1% sodium dodecyl sulfate in 70% ethanol), homogenization and<br />

sonication were used to purify <strong>the</strong> endosperm cell wall material (CWM). Monosaccharide and<br />

phenolic acid composition was determined by high-performance reverse phase and anion<br />

exchange chromatography (HPAEC), respectively (Izydorczyk et al. 1998 and Cyran et al.<br />

2002).<br />

The endosperm cell walls were sequentially extracted with water at 65 o C (WE), saturated barium<br />

hydroxide (BaE), water (Ba/WE), and 1N sodium hydroxide (NaE) at 25 o C. The residue<br />

remaining after <strong>the</strong> sequential extraction was designated RES. The fine structure <strong>of</strong> beta-glucan<br />

was investigated by lichenase digestion and HPAEC (Izydorczyk et al. 1998). Monosaccharide<br />

and glycosidic linkage composition was determined by HPLC and GC- MS (Izydorczyk et al.,<br />

1998), respectively. Samples were prepared for SEM by mounting <strong>the</strong>m onto aluminum stubs<br />

covered with double-sided carbon adhesive discs and allowed to set for 24 h. The mounted<br />

- 93 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

samples were placed in a Hummer VII (Anatech, Ltd.) sputter coater and coated with 50 nm <strong>of</strong><br />

gold and examined with a JEOL JSM-6400 SEM at 10 KV.<br />

Results and discussion<br />

The endosperm cell walls were obtained from barley samples differing in grain hardness, protein<br />

and beta-glucan contents (Table 1). The general morphological features <strong>of</strong> <strong>the</strong> inner surface <strong>of</strong><br />

<strong>the</strong> walls can be seen in Figure 1. The inner wall surface <strong>of</strong> sample A appeared deeply pitted<br />

with indentations made by small and large starch granules. These indentations were less<br />

pronounced in <strong>the</strong> walls <strong>of</strong> samples B, and C. Sample C also contained areas with an uneven and<br />

folded surface, possibly representing imprints <strong>of</strong> dense protein matrix ra<strong>the</strong>r than starch granules.<br />

The thickness <strong>of</strong> <strong>the</strong> cell walls ranged from 0.5 to 1.6, 0.5-1.7 and 0.8-2.3 um for samples A, B,<br />

and C, respectively.<br />

Table 1. Composition and hardness <strong>of</strong> barley grains<br />

Sample Protein Starch Beta- Soluble Arabinoxylans Hardness<br />

% % glucan % Beta-glucan % %<br />

index<br />

A 10.8 61.3 4.2 2.3 5.8 59.25<br />

B 11.8 58.9 4.6 1.7 5.6 68.88<br />

C 17.1 54.8 4.8 2.6 5.4 61.70<br />

A B C<br />

Figure 1. SEM photographs <strong>of</strong> cell walls isolated from Metcalfe grown in Davidson, SK (A),<br />

Hy<strong>the</strong>, AB (B), and Hamiota, MB (C).<br />

The isolated cell walls contained very little starch (< 1 %) and proteins (~6%) and were built up<br />

mainly from glucose, xylose, arabinose, mannose and small amounts <strong>of</strong> galactose (Fig. 2). The<br />

intact endosperm cell walls <strong>of</strong> sample A contained <strong>the</strong> least amount <strong>of</strong> beta-glucans and <strong>the</strong><br />

highest amount <strong>of</strong> arabinoxylans and mannose-containing polysaccharides. The walls <strong>of</strong> sample<br />

C contained <strong>the</strong> highest amount <strong>of</strong> beta-glucans, in agreement with <strong>the</strong> highest content <strong>of</strong> <strong>the</strong>se<br />

polymers in <strong>the</strong> barley grain. The endosperm cell walls <strong>of</strong> sample A contained <strong>the</strong> highest<br />

amount <strong>of</strong> phenolic acids (ferulic, coumaric and diferulic), but <strong>the</strong> arabinoxylans in <strong>the</strong> walls <strong>of</strong><br />

sample B were more cross-linked than those in samples A and C (Table 2).<br />

The treatment <strong>of</strong> <strong>the</strong> CWM with water at 65 o C solubilized mostly beta-glucans, whereas <strong>the</strong><br />

treatment with saturated barium hydroxide extracted mostly arabinoxylans (Fig. 3). The extract<br />

obtained with water after <strong>the</strong> barium hydroxide treatment contained about 60% beta-glucans and<br />

~35% arabinoxylans. The least soluble extract obtained with NaOH (NaE) and <strong>the</strong> residue<br />

- 94 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

remaining after all extractions (RES) contained approximately equal parts <strong>of</strong> beta-glucans,<br />

arabinoxylans and mannose-containing polysaccharides.<br />

% mol <strong>of</strong> total sugars<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

Arabinose<br />

Galactose<br />

Glucose<br />

Xylose<br />

Mannose<br />

A-CWM<br />

B-CWM<br />

C-CWM<br />

Figure<br />

2. Monosaccharide composition in <strong>the</strong> CWM. Figure 3. Sugar pr<strong>of</strong>ile in various extracts<br />

Table<br />

2. Distribution <strong>of</strong> phenolic acids in CWM<br />

A B C<br />

Total phenolic acids, g/100g CWM 0.34 0.24 0.17<br />

Total FA a , g / 100g CWM 0.28 0.20 0.15<br />

Total DFA b , g / 100g CWM 0.0096 0.0092 0.0055<br />

FA/Xyl x 10000 c<br />

119 128 110<br />

(DFA/Xyl)x10000 d<br />

2.0 3.0 2.0<br />

a b c d<br />

ferulic acid; dehydrodiferulic acid; moles <strong>of</strong> FA per 10,000 moles <strong>of</strong> Xyl; moles <strong>of</strong> DFA per<br />

10,000 moles <strong>of</strong> xylose residues<br />

% mol <strong>of</strong> total sugars<br />

100%<br />

90%<br />

80%<br />

70%<br />

60%<br />

50%<br />

40%<br />

30%<br />

20%<br />

10%<br />

0%<br />

WE BaE BaWE NaE RES<br />

Galactose<br />

Mannose<br />

Arabinose<br />

Xylose<br />

Glucose<br />

Following<br />

<strong>the</strong> extraction <strong>of</strong> <strong>the</strong> endosperm cell walls with water, <strong>the</strong> surface indentations due to<br />

starch granules could no longer be seen. It appears that <strong>the</strong> water-soluble beta-glucans may be<br />

layered onto <strong>the</strong> surface <strong>of</strong> <strong>the</strong> walls ra<strong>the</strong>r than being distributed throughout <strong>the</strong> wall structure as<br />

suggested by Fincher (1975). Following <strong>the</strong> extraction <strong>of</strong> arabinoxylans from <strong>the</strong> waterextracted<br />

CWM <strong>the</strong> definition <strong>of</strong> endosperm cells disappeared. The NaOH extraction caused<br />

fur<strong>the</strong>r pitting and corrosion <strong>of</strong> <strong>the</strong> wall material.<br />

- 95 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

A detailed analysis <strong>of</strong> oligosaccharides released by lichenase digestion <strong>of</strong> beta-glucans revealed<br />

some differences in <strong>the</strong> structural features <strong>of</strong> <strong>the</strong>se polymers among <strong>the</strong> samples. Beta-glucans in<br />

<strong>the</strong> cell walls <strong>of</strong> sample B had <strong>the</strong> highest ratio <strong>of</strong> 3-O--D-cellobiosyl-D-glucose (DP3) to 3-O--<br />

D-cellotriosyl-D-glucose (DP4) and a slightly lower level <strong>of</strong> oligosaccharides <strong>of</strong> DP 5-9,<br />

representing a more cellulose-like region <strong>of</strong> <strong>the</strong> beta-glucans. On <strong>the</strong> o<strong>the</strong>r hand, <strong>the</strong> DP <strong>of</strong><br />

longer cellulosic fragments in this sample was higher than in sample A and C. Sample B had <strong>the</strong><br />

lowest ratio <strong>of</strong> β-(1→4) to β-(1→3) linkages. Beta-glucans originating from sample C clearly<br />

had <strong>the</strong> greatest amount <strong>of</strong> glucose residues linked via β-(1→4) linkages, which was confirmed<br />

by <strong>the</strong> highest ratio <strong>of</strong> β-(1→4) to β-(1→3) linkages and <strong>the</strong> lowest DP3/DP4 ratio.<br />

Table 3. Structural features <strong>of</strong> beta-glucans<br />

DP(5-9) a<br />

Ratio Longer cellulosic<br />

fragments b<br />

DP3/DP4 a<br />

Sample %<br />

A 2.11 7.8 DP 10-24<br />

B 2.28 7.7 DP 10-28<br />

C 2.10 8.2 DP 10-25<br />

a<br />

found in water-soluble digests from lichenase treatment<br />

b<br />

found in water-insoluble precipitates released after lichenase treatment<br />

Monosaccharide and glycosidic linkage analyses revealed that arabinoxylans in <strong>the</strong> cell walls <strong>of</strong><br />

sample A were less substituted than those in sample B and C (Table 4). Arabinoxylans in <strong>the</strong><br />

cell walls <strong>of</strong> sample A had <strong>the</strong> highest amount <strong>of</strong> unsubstituted but <strong>the</strong> smallest amount <strong>of</strong><br />

doubly substituted xylose residues. The least soluble polysaccharide <strong>of</strong> <strong>the</strong> endosperm cell<br />

walls, present in <strong>the</strong> NaE and remaining in <strong>the</strong> residue, differed substantially from those found in<br />

<strong>the</strong> WE, BaE, and BaWE (Table 5). The linkage analysis revealed <strong>the</strong> presence <strong>of</strong> lowly<br />

substituted arabinoxylans, beta-glucans with a high ratio <strong>of</strong> β-(1→4) to β-(1→3) linkages, and<br />

<strong>the</strong> presence <strong>of</strong> glucomannans and/or(galacto)glucomannans. The highest amounts <strong>of</strong> lowly<br />

substituted arabinoxylans and mannose-containing polysaccharides were found in sample A<br />

whereas <strong>the</strong> highest amount <strong>of</strong> beta-glucans with cellulose-like features was found in sample C.<br />

Table 4. Structural features <strong>of</strong> arabinoxylans<br />

Sample Xyl/Ara a<br />

Usub/Sub<br />

Xyl b<br />

Doubly/Sing Xyl c<br />

A 1.74 1.76 0.97<br />

B 1.54 1.46 1.28<br />

C 1.44 1.14 2.43<br />

a<br />

Ratio <strong>of</strong> xylose to arabinose residues<br />

b<br />

Ratio <strong>of</strong> unsubstituted xylose to substituted Xylp<br />

c Ratio <strong>of</strong> doubly to singly substituted xylose residues<br />

- 96 -


Solubilized CHO<br />

(% total present in CWM)<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

Table 5. Structural features <strong>of</strong> NaE fraction in CWM <strong>of</strong> various samples.<br />

A B C<br />

Ratio Unsub/Sub Xylp 2.54 1.98 1.40<br />

Ratio Xyl/Ara 2.8 2.4 2.0<br />

→4 Manp 1→ (%mol) 32 20 12.5<br />

Ratio (1→4)/(1→3) Glc 3.20 3.4 3.9<br />

The enzymic degradation <strong>of</strong> endosperm cell walls was investigated by treating buffered<br />

suspensions <strong>of</strong> isolated cell wall fragments (previously extracted with water at 45 o C) with malt<br />

extracts and determining <strong>the</strong> amount, monosaccharide composition and molecular size<br />

distribution <strong>of</strong> <strong>the</strong> soluble carbohydrate products. The water solubility <strong>of</strong> <strong>the</strong> CWM in 45 o C<br />

ranged from 24% for sample B, through 27% for sample A, to 41% for sample C.<br />

Approximately 20% <strong>of</strong> <strong>the</strong> CWM, remaining after <strong>the</strong> initial water extraction, was solubilized<br />

with <strong>the</strong> malt enzymes. Substantially more beta-glucans than arabinoxylans or mannosecontaining<br />

polysaccharides were solubilized with water at 45 o C (Figure 4). Interestingly, <strong>the</strong><br />

majority <strong>of</strong> mannose containing polymers was solubilized during digestion <strong>of</strong> CWM with <strong>the</strong><br />

malt enzymes. Almost equal amounts <strong>of</strong> arabinoxylans (~10%) were solubilized with water and<br />

with <strong>the</strong> malt enzymes. Overall, <strong>the</strong> solubility and digestibility was lower for sample B than for<br />

A and C. Both high- and low-molecular weight (HMW and LMW) materials were released<br />

from <strong>the</strong> CWM during digestion with malt extracts. The monosaccharide analysis revealed <strong>the</strong><br />

HMW malt digest contained mostly glucose, xylose and arabinose, whereas <strong>the</strong> LMW malt<br />

digest contained glucose and mannose. Differences in <strong>the</strong> molecular structure <strong>of</strong> beta glucans<br />

and arabinoxylans extracted with water compared to those solubilized with <strong>the</strong> malt enzymes<br />

were also observed.<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

90<br />

Solubilization at 45<br />

80<br />

o C/H2O Solubilization with malt extract<br />

Glc Ara + Xyl Man<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

A B C<br />

0<br />

Glc Ara + Xyl Man<br />

Figure 4. Amount <strong>of</strong> solubilized carbohydrates during solubilization with water and digestion<br />

with malt extract <strong>of</strong> <strong>the</strong> CWM.<br />

- 97 -


Acknowledgment<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

The financial support from NSERC is gratefully acknowledged.<br />

References<br />

Izydorczyk, M. S., Macri, L.J., MacGregor, A.W. (1998). Carbohydr. Polym., 35, 249-258.<br />

Cyran, M., Izydorczyk, M. S., and MacGregor, A. W. (2002). Cereal Chem., 79, 359-366.<br />

Fincher, G.B. (1975). J. Ins. Brew., 81, 116-122.<br />

- 98 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

Amino acid levels in wort and <strong>the</strong>ir significance in developing malting barley<br />

varieties<br />

Edney, M.J. 1 *, Legge, W.G. 2 and Rossnagel, B.G. 3<br />

1 Grain Research Laboratory, <strong>Canadian</strong> Grain Commission, Winnipeg, R3C 3G8 Canada<br />

2 Brandon Research Station, Agriculture and Agri-Foods Canada, Brandon, R7A 5Y3 Canada<br />

3 Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, S7N 5A8 Canada<br />

*Corresponding author: medney@grainscanada.gc.ca<br />

Introduction<br />

High levels <strong>of</strong> grain protein are <strong>the</strong> greatest restriction to increasing <strong>the</strong> selected malting barley<br />

pool in western Canada. International markets traditionally aim for less than 11.5 % protein in<br />

malting barley, but barley exported from Canada averaged greater than 12 % over <strong>the</strong> past 10<br />

years (Fig 1). Higher protein barley is undesirable because <strong>of</strong> reduced potential fermentable<br />

extract which restricts <strong>the</strong> amount <strong>of</strong> beer that can be made from a barley’s malt. <strong>Canadian</strong><br />

barley breeders, <strong>the</strong>refore, are <strong>of</strong>ten encouraged to develop varieties with potential for low<br />

protein. However, a certain level <strong>of</strong> barley protein is required to make a quality malt and protein<br />

is actually limiting in barley from some parts <strong>of</strong> <strong>the</strong> world. <strong>Canadian</strong> malting barley has a<br />

reputation for excellent quality, specifically high fermentability, which is indirectly a result <strong>of</strong><br />

higher protein barley. Soluble protein in malt, resulting from hydrolysis <strong>of</strong> barley protein during<br />

malting and mashing, contributes to foam retention in <strong>the</strong> final beer and <strong>the</strong> amino acids and<br />

small peptides resulting from fur<strong>the</strong>r degradation <strong>of</strong> <strong>the</strong> soluble protein, are essential for yeast<br />

nutrition during fermentation. <strong>Barley</strong> protein also provides greater potential to produce adequate<br />

levels <strong>of</strong> starch-degrading enzymes (Fig 2) which are essential for trouble-free fermentations<br />

(Evans et al 2003). The higher levels <strong>of</strong> protein in <strong>Canadian</strong> malting barley, <strong>the</strong>refore, contribute<br />

to excellent fermentation potential and adequate levels <strong>of</strong> foam positive proteins but some<br />

reduction in protein could still increase <strong>the</strong> amount <strong>of</strong> barley selected in western Canada.<br />

Figure 1. Average protein content <strong>of</strong> 2-rowed malting barley exported from Canada,<br />

1995-2004.<br />

Protein (%DM)<br />

13.0<br />

12.5<br />

12.0<br />

11.5<br />

11.0<br />

10.5<br />

11.5 % - Maximum International Standard<br />

1995<br />

1996<br />

1997<br />

1998<br />

1999<br />

- 99 -<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004


Session 3: Malting and Brewing Quality – Oral presentations<br />

Any initiative to genetically reduce barley protein levels must proceed with caution, especially if<br />

extreme changes are expected. Altered barley must still have <strong>the</strong> potential to provide adequate<br />

levels <strong>of</strong> soluble malt protein for efficient fermentation and adequate beer quality. To ensure<br />

adequate protein degradation, breeding programs presently rely on percentage <strong>of</strong> soluble protein<br />

in Congress extract and Kolbach index. These values give some indication <strong>of</strong> adequate levels <strong>of</strong><br />

degraded protein for beer foam as well as <strong>of</strong> nitrogenous nutrients for yeast. Free amino nitrogen<br />

(FAN), a measurement <strong>of</strong> amino acids and peptides, provides more specific information on<br />

nitrogenous nutrient status, but is seldom monitored. Fermentability and foam potential are not<br />

considered directly in breeding programs.<br />

Figure 2. Diastatic power versus on protein levels in <strong>Canadian</strong>-grown Harrington barley.<br />

Diastatic power (°L)<br />

r 2 195<br />

185<br />

175<br />

165<br />

155<br />

145<br />

135<br />

125<br />

115<br />

105<br />

95<br />

= 0.575***<br />

10.0 10.5 11.0 11.5 12.0 12.5 13.0<br />

<strong>Barley</strong> protein (%DM)<br />

Data source: Langrell & Edney 1995 – 2004<br />

The importance <strong>of</strong> monitoring free amino acid levels in malts <strong>of</strong> breeder lines has received<br />

limited attention. Levels are seldom even monitored in commercial malts because <strong>the</strong>y are<br />

considered to be relatively constant in extracts made from malts <strong>of</strong> different varieties (Jones &<br />

Pierce 1964). These levels are also not considered to be limiting to fermentability in all-malt<br />

worts. However, <strong>the</strong>y can be limiting in high-gravity and high-adjunct brewing (O’Connor-Cox<br />

& Ingledew 1989) and a recent study found significant relationships between several individual<br />

amino acids and fermentability in commercial malts (Yin et al 2004). The present study<br />

investigated <strong>the</strong> importance <strong>of</strong> monitoring free amino acids, versus o<strong>the</strong>r malt quality parameters,<br />

for determining fermentation potential in malting barley breeding programs.<br />

Materials and Methods<br />

A doubled haploid population (54 covered and 54 hulless lines) was used to compare levels <strong>of</strong><br />

free amino acids and indeces <strong>of</strong> protein degradation to fermentability. The population was<br />

produced by an<strong>the</strong>r culture techniques at Agriculture and Agri-Food Canada Brandon from <strong>the</strong><br />

cross, TR251/HB345. TR251 is a covered breeding line with good malting potential while<br />

HB345 is a hulless breeding line with good agronomic traits and <strong>the</strong> allele for heat stable betaamylase<br />

(sd2H). The 108 lines along with two replicates <strong>of</strong> each parent, were grown at Hamiota,<br />

Manitoba in 2002. Samples <strong>of</strong> <strong>the</strong> lines and parents (500 grams) were micromalted in a Phoenix<br />

Automated Micromalting machine (Adelaide, SA, Australia) according to <strong>the</strong> following<br />

- 100 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

schedule: Wet steep 6h, Air rest 2h, Wet steep 4h, Air rest 12h, Wet steep 4h, Air rest 4h, Wet<br />

steep 4h, Air rest 4h, Wet steep 4h (steeping at 13°C); Germination 100h (15°C), Kiln 12h @<br />

55°C, 6h @ 65°C, 2h @ 75°C, 4h @ 85°.<br />

Standard methods <strong>of</strong> <strong>the</strong> ASBC (American Society <strong>of</strong> Brewing Chemists 1992) were used to<br />

prepare and analyse fine grind Congress malt extracts. Analysis <strong>of</strong> free amino acids was based on<br />

<strong>the</strong> method <strong>of</strong> Garza-Ulloa et al (1986) and was performed on a Beckman 7300 High<br />

Performance Amino Acid Analyzer (Beckman Coulter, Inc., Fullerton, CA 92834-3100).<br />

A small scale method for measuring apparent attenuation limit (AAL) was used to determine <strong>the</strong><br />

fermentation properties <strong>of</strong> <strong>the</strong> samples. The method incubated 40 ml <strong>of</strong> EBC wort (European<br />

Brewery Convention 1998) with 160 mg dried yeast (Mauribrew lager yeast, Toowoomba,<br />

Australia) at 25°C for 24 hours (Logue 1997).<br />

Table 1. Average malt quality <strong>of</strong> <strong>the</strong> 108 malt samples studied<br />

<strong>Barley</strong> Fine Soluble<br />

Protein Extract Protein FAN ß-Glucan DP α-Amylase AAL Alcohol<br />

% % % mg/L ppm °L DU % v/v%<br />

Average 13.8 82.5 6.33 262 137 185 59.2 80.8 3.5<br />

Maximum 15.8 87.6 7.58 335 466 306 81.1 85.7 3.9<br />

Minimum 12.0 76.1 5.53 202 29 107 21.7 71.9 2.9<br />

Results and Discussion<br />

The 108 samples showed a range in quality from very poor to excellent (Table 1) which is<br />

similar to what breeders would experience when screening lines for quality in <strong>the</strong>ir programs. As<br />

a result <strong>of</strong> <strong>the</strong> range in quality, fermentability was affected by a number <strong>of</strong> different malt quality<br />

factors, thus, masking, to some extent, direct effects <strong>of</strong> protein degradation and amino acids on<br />

fermentability.<br />

Figure 3. Effect <strong>of</strong> levels <strong>of</strong> serine on fermentability <strong>of</strong> <strong>the</strong> 108 malt<br />

samples studied.<br />

Apparent Attenuation Limit (%)<br />

r 2 88<br />

86<br />

84<br />

82<br />

80<br />

78<br />

76<br />

74<br />

72<br />

70<br />

= 0.332***<br />

45 55 65 75 85 95 105<br />

Serine (mg/mL)<br />

- 101 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

Soluble protein and FAN were found to have insignificant correlations with fermentability<br />

(r 2 =0.014 and 0.039 respectively). The sum <strong>of</strong> all individual free amino acid did show a higher<br />

correlation coefficient but still insignificant (r 2 =0.112). Individual levels <strong>of</strong> both serine and<br />

cysteine were found to correlate highly, significantly with fermentability for <strong>the</strong> samples tested<br />

(Fig 3 & 4). Serine levels also correlated well (r 2 =0.441***) with α-amylase levels and levels <strong>of</strong><br />

both serine and α-amylase were significantly lower in hulless versus covered samples (Edney et<br />

al 2004). This suggested that <strong>the</strong> serine/fermentability correlation was related to α-amylase<br />

levels, which are known to affect fermentability, and not serine directly. However, serine has<br />

been shown by o<strong>the</strong>rs (Yin et al 2004) to be related to fermentation which, in combination with<br />

<strong>the</strong> significant cysteine correlation, and to a lesser extent, tryptophan and phenylalanine<br />

(r 2 =0.186* and 0.174*, respectively), still supported <strong>the</strong> monitoring <strong>of</strong> amino acids as an<br />

indication <strong>of</strong> fermentation potential.<br />

Conclusions<br />

Figure 4. Effect <strong>of</strong> levels <strong>of</strong> cysteine on fermentability <strong>of</strong> <strong>the</strong> 108 malt<br />

samples studied.<br />

Apparent Attenuation Limit (%)<br />

r 2 88<br />

86<br />

84<br />

82<br />

80<br />

78<br />

76<br />

74<br />

72<br />

70<br />

= 0.339***<br />

0.0 2.0 4.0 6.0 8.0 10.0<br />

Cysteine (mg/mL)<br />

Percentage <strong>of</strong> soluble protein in a wort, Kolbach index and FAN levels provided no information<br />

on <strong>the</strong> nitrogenous nutrient status <strong>of</strong> <strong>the</strong> worts with respect to fermentability for <strong>the</strong> breeding<br />

population studied. Individual amino acids did explain some <strong>of</strong> <strong>the</strong> variability in fermentation,<br />

despite masking by o<strong>the</strong>r parameters such as levels <strong>of</strong> enzymes and ß-glucan, suggesting that<br />

monitoring <strong>of</strong> free amino acid could be <strong>of</strong> benefit. However, <strong>the</strong> cost <strong>of</strong> such testing with early<br />

generation lines would be prohibitive, although, monitoring at final stages, just prior to<br />

commercialization, might be warranted. This would be especially important in altered lines with<br />

low levels <strong>of</strong> barley protein.<br />

- 102 -


References<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

American Society Of Brewing Chemists (1992). Methods <strong>of</strong> Analysis, 8th ed. The Society, St.<br />

Paul, MN.<br />

European Brewery Convention (1998). Analytica-EBC. Verlag Hans Carl Getränke-Fachverlag,<br />

Nürnberg, Germany.<br />

Edney, M.J., Legge, W.G., Rossnagel, B.G., Collins, H.M. (2004). Malting quality <strong>of</strong> a<br />

hulless/covered doubled haploid barley population. <strong>Proceedings</strong> International <strong>Barley</strong><br />

Genetics <strong>Symposium</strong>, Brno, Czech Republic, June 20-26 (eds. J. Spunar, J. Janikova) CD-<br />

ROM pp 418-424.<br />

Evans, S.E., Van Wegen, B., Ma, Y., Eglinton, J. (2003). The impact <strong>of</strong> <strong>the</strong> <strong>the</strong>rmostability <strong>of</strong> aamylase,<br />

ß-amylase, and limit dextrinase on potential wort fermentability. J. Am. Soc. Brew.<br />

Chem. 61:210-218.<br />

Garza-Ulloa H., Cantú R.G., Gajá A.M.C. (1986). Determination <strong>of</strong> amino acids in wort and beer<br />

by reverse-phase high-performance liquid chromatography. J. Am. Soc. Brew. Chem. 44:47-<br />

51.<br />

Jones, M., Pierce, J.S. (1964). Absorption <strong>of</strong> amino acids from wort by yeasts. J. Inst. <strong>of</strong> Brew.<br />

70:307-315.<br />

Langrell, D.E., Edney, M.J. (1995 – 2004). Quality <strong>of</strong> western <strong>Canadian</strong> malting barley.<br />

<strong>Canadian</strong> Grain Commission, Winnipeg, MB.<br />

Logue S.J. (1997). The Waite <strong>Barley</strong> Quality Evaluation Laboratory <strong>Barley</strong> Quality Report,<br />

University <strong>of</strong> Adelaide.<br />

O’Connor-Cox, W.S.C., Ingledew, W.M. (1989). Wort nitrogenous sources – Their use by<br />

brewing yeasts: A review. J. Am. Soc. Brew. Chem. 47:102-108.<br />

Yin, X.S., Strasser, G.H., Ladish, W.J. (2004). Wort amino acid composition <strong>of</strong> different barley<br />

varieties and effect on nitrogen assimilation, <strong>Proceedings</strong> World Brewing Congress, San<br />

Diego, CA, July 25-28 CD ROM.<br />

- 103 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

Commercialization <strong>of</strong> Near Infrared Reflectance Spectroscopy (NIRS) for<br />

screening breeding lines in <strong>the</strong> breeding program and screening grain lots in<br />

a malt plant<br />

James H. Helm, Lori Oatway and Patricia Juskiw<br />

Alberta Agriculture Food and Rural Development – Field Crop Development Centre, 5030-50 Street, Lacombe, Alberta<br />

T4L 1W8 Canada<br />

Plant breeding is a long-term commitment that puts toge<strong>the</strong>r <strong>the</strong> agronomic, disease resistance<br />

and quality characteristics into an economically viable cultivar. However, for malt quality, <strong>the</strong><br />

cost and time required for testing is both expensive and limiting so only a small part <strong>of</strong> <strong>the</strong><br />

breeding program can be screened. The malting tests are also destructive and require larger seed<br />

samples that are not available in <strong>the</strong> early generations <strong>of</strong> a breeding program.<br />

During <strong>the</strong> commercial malting process <strong>the</strong> maltster also combines grain lots into <strong>the</strong> malt house<br />

and increases <strong>the</strong> variability <strong>of</strong> <strong>the</strong> grain. A rapid test <strong>of</strong> <strong>the</strong> whole grain will allow <strong>the</strong><br />

variability <strong>of</strong> <strong>the</strong> grain to be predicted and controlled before <strong>the</strong> barley even enters <strong>the</strong> malt<br />

house. This will improve overall quality <strong>of</strong> <strong>the</strong> final malt.<br />

The Field Crop Development Centre (FCDC) began a joint project with Canada Malting in<br />

Calgary in 1996. The objective was to develop NIRS calibrations for <strong>the</strong> primary quality factors<br />

used by <strong>the</strong> Malting and Brewing industry to measure malting quality. These included Grain<br />

Protein, Fine Extract, Diastatic Power, Alpha-Amylase, Total Malt Protein, Soluble Malt Protein,<br />

Wort B-Glucan, Malt Friability, Homogeneity, and Viscosity.<br />

NIRS is an excellent tool to screen large numbers <strong>of</strong> whole grain samples in a short period <strong>of</strong><br />

time. For over 20 years <strong>the</strong> FCDC has used NIRS to screen for feed quality and presently screens<br />

over 35,000 samples every year. NIRS is a non-destructive test, requiring as little as 25 grams <strong>of</strong><br />

seed, allowing <strong>the</strong> breeder to screen material at a very early stage in <strong>the</strong> breeding program.<br />

Materials and Methods<br />

The development <strong>of</strong> <strong>the</strong> Malting Quality equations were done on breeding samples representing<br />

everything from feed barley to <strong>the</strong> best malting quality available. Samples were selected at <strong>the</strong><br />

FCDC and scanned on a FOSS 6500 Spectrophotometer. The samples were <strong>the</strong>n sent to Canada<br />

Malting. Canada Malting malted <strong>the</strong>se samples in a Phoenix micro malt plant using 150 g <strong>of</strong><br />

seed. They used a standard cycle in <strong>the</strong> phoenix plant and <strong>the</strong> samples were fully modified.<br />

Data was sent back to <strong>the</strong> FCDC to be used for calibration development.<br />

The final research calibration set consisted <strong>of</strong> approximately two hundred samples per year for<br />

five years beginning in 1996. After 2001, samples were added each year in order to streng<strong>the</strong>n<br />

<strong>the</strong> calibration. In order to insure that we had maximum variation both genetically and<br />

environmentally we eliminated redundant samples; <strong>the</strong>refore, not all samples were used to build<br />

<strong>the</strong> calibration. All <strong>the</strong> equations developed are based on whole grain, unmalted barley.<br />

- 104 -


Session 3: Malting and Brewing Quality – Oral presentations<br />

The FCDC has successfully used <strong>the</strong>se calibrations to predict malting quality on whole grain<br />

samples from <strong>the</strong> breeding program since 1998. In 2002 be began <strong>the</strong> process <strong>of</strong> adding<br />

commercial malt samples into <strong>the</strong> equations. The commercial samples came from three malt<br />

houses at Canada Malting in Calgary and from Rahr Malt in Alix, Alberta. The barley samples<br />

were taken from lots before malting and <strong>the</strong> malt analysis came from <strong>the</strong> same malting company<br />

that produced <strong>the</strong> finished malt.<br />

Results<br />

The commercial malt samples represented a narrow range <strong>of</strong> variability in <strong>the</strong> original<br />

calibrations. This was expected as <strong>the</strong>se were all malt varieties selected by <strong>the</strong> malt house. In<br />

general <strong>the</strong> commercial samples contained much more variability within <strong>the</strong> sample compared to<br />

<strong>the</strong> original research samples. Figures 1, 2, 3 and 4 show <strong>the</strong> relationship <strong>of</strong> <strong>the</strong> commercial<br />

malts in <strong>the</strong> overall calibration sets. By adding <strong>the</strong>m into <strong>the</strong> calibration set we reduced <strong>the</strong><br />

accuracy slightly but improved <strong>the</strong> consistency (Table 1). This translated into slightly different<br />

RSQ and Standard Error <strong>of</strong> Calibration (SEC).<br />

Table 1. Relation between <strong>the</strong> research calibration based on micro malt data (MM)<br />

and <strong>the</strong> commercial calibration (CM) for <strong>the</strong> characteristics measured.<br />

Constituent N Min Max SEC* RSQ<br />

Value Value<br />

Fine Extract - MM 767 73.6 85.5 0.60 0.91<br />

Fine Extract - CM 994 74.0 85.7 0.57 0.91<br />

Diastatic Power - MM 369 68 217 6.72 0.93<br />

Diastatic Power - CM 662 68 224 8.04 0.90<br />

Total Malt Protein - MM 905 6.1 19.0 0.27 0.98<br />

Total Malt Protein - CM 1049 6.6 18.6 0.25 0.98<br />

B-Glucan - MM 262 0 623 32.88 0.93<br />

B-Glucan - CM 495 0 580 34.83 0.91<br />

It is evident to us that <strong>the</strong> success <strong>of</strong> <strong>the</strong> calibrations has been <strong>the</strong> wide segregating variation we<br />

had in <strong>the</strong> genetic research samples, which allowed us to build upon with commercial samples.<br />

Because <strong>of</strong> <strong>the</strong> variability in commercial malts which is also increased due to <strong>the</strong> lot size in <strong>the</strong><br />

malt house and <strong>the</strong> variability introduced by both <strong>the</strong> steeping and killing processes we will see<br />

final commercial malts have a greater variance and would expect <strong>the</strong>m to differ from research<br />

malts from a pure source. This should not reduce <strong>the</strong> usefulness <strong>of</strong> this technology to <strong>the</strong> malting<br />

industry but can only help <strong>the</strong>m to determine how to blend lots to meet optimum quality through<br />

<strong>the</strong>re malting process. It also allows breeding programs to screen for malt quality cheaply and<br />

quickly at early stages in <strong>the</strong> breeding program.<br />

- 105 -


NIR PRediction Values<br />

NIR Prediction Values<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

Figure 1. NIR Calibration Equation for Total Malt Protein showing FCDC<br />

& Conagra Steep Samples.<br />

20<br />

18<br />

16<br />

14<br />

12<br />

10<br />

8<br />

85.5<br />

83.5<br />

81.5<br />

79.5<br />

77.5<br />

75.5<br />

73.5<br />

71.5<br />

8 10 12 14 16 18 20<br />

Laboratory Values<br />

FCDC Samples<br />

Conagra Steep<br />

Figure 2. NIR calibration data for Fine Extract showing FCDC samples &<br />

Conagra steep samples.<br />

71.5 73.5 75.5 77.5 79.5 81.5 83.5 85.5<br />

Laboratory Values<br />

- 106 -<br />

FCDC Samples<br />

Conagra Steep Samples


NIR Prediction Values<br />

NIR Prediction Values<br />

Session 3: Malting and Brewing Quality – Oral presentations<br />

Figure 3. NIR calibration data for Diastatic Power showing FCDC samples<br />

and Conagra steep samples.<br />

230<br />

210<br />

190<br />

170<br />

150<br />

130<br />

110<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

90<br />

70<br />

0<br />

70 90 110 130 150 170 190 210 230<br />

Laboratory Values<br />

FCDC samples<br />

Conagra Steep<br />

Figure 4. NIR calibration data for Wort B-Glucan showing FCDC samples<br />

and Conagra Steep samples.<br />

0 100 200 300 400 500 600 700<br />

Laboratory Values<br />

- 107 -<br />

FCDC Samples<br />

Conagra Steep


Session 3: Malting and Brewing Quality – Poster abstracts<br />

The differences in fermentable carbohydrates <strong>of</strong> major <strong>Canadian</strong> malting<br />

barley varieties and <strong>the</strong>ir effects on fermentation<br />

Yueshu Li 1 , Rob McCraig 1 , Ken Sawatzky 1 , Aleks Egi 1 and Michael Edney 2<br />

1. <strong>Canadian</strong> Malting <strong>Barley</strong> Technical Centre, Winnipeg, R3C 3G7 Canada<br />

2. Grain Research Laboratory <strong>of</strong> <strong>the</strong> <strong>Canadian</strong> Grain Commission<br />

Abstract<br />

The fermentable carbohydrates <strong>of</strong> <strong>the</strong> major <strong>Canadian</strong> malting barley varieties were monitored<br />

during malting and brewing processes. It was observed that <strong>the</strong> fermentable carbohydrate<br />

compositions <strong>of</strong> <strong>the</strong> congress wort were varietal dependent, while <strong>the</strong> fermentable carbohydrate<br />

compositions <strong>of</strong> <strong>the</strong> finished wort were both varietal and mashing condition dependent. The overall<br />

malt modification affected malt carbohydrate composition, and malt’s brewing performance and final<br />

beer quality.<br />

NanoMash: A novel procedure for research mashing <strong>of</strong> limited-quantity<br />

barley malts<br />

Laurie A. Marinac and Mark R. Schmitt*<br />

USDA Agricultural Research Service, Cereal Crops Research Unit, 501 Walnut St., Madison, WI 53726<br />

The ASBC Malt-4 extract analysis method (Congress Mash) provides a standard set <strong>of</strong> conditions for<br />

generating an unhopped wort commonly used to evaluate <strong>the</strong> malting quality performance <strong>of</strong><br />

experimental malts. However, <strong>the</strong> method requires specialized instrumentation and relatively large<br />

quantities <strong>of</strong> malt. These requirements prevent researchers without access to <strong>the</strong> specialized<br />

instrumentation and particularly those with limited sample availability from generating Congress<br />

worts for malting quality analysis and o<strong>the</strong>r research uses. Use <strong>of</strong> a commercially available device<br />

allows agitation <strong>of</strong> small volume samples through orbital mixing while heating or cooling <strong>the</strong>m using<br />

a Peltier temperature controlled block. Controlling <strong>the</strong> device to follow <strong>the</strong> Congress mash<br />

temperature pr<strong>of</strong>ile <strong>of</strong>fers <strong>the</strong> possibility <strong>of</strong> conducting a mashing cycle at a significantly reduced<br />

scale. Adaptation <strong>of</strong> standard ASBC wort analysis methodology to microtiter plate and o<strong>the</strong>r<br />

reduced-scale methodology allows provision <strong>of</strong> several key parameters for worts generated from<br />

size-limited samples. While not intended to supplant standard ASBC methodology, this small-scale<br />

mashing protocol significantly lowers <strong>the</strong> sample requirements and extends <strong>the</strong> potential for malt<br />

analysis to research programs where it may not have been previously feasible.<br />

*Corresponding author: 608-262-4480, markschmitt@wisc.edu<br />

- 108 -


Session 3: Malting and Brewing Quality – Poster abstracts<br />

Comparison <strong>of</strong> hull peeling resistance <strong>of</strong> barley and malt in western<br />

<strong>Canadian</strong> two-row barley lines<br />

W.G. Legge 1 , J.S. Noll 2 , and B.G. Rossnagel 3<br />

1 Agriculture and Agri-Food Canada, Research Centre, P.O. Box 1000A, R.R. #3, Brandon, Manitoba R7A 5Y3;<br />

2 Agriculture and Agri-Food Canada, Cereal Research Centre, 195 Dafoe Road, Winnipeg, Manitoba R3T 2M9;<br />

3 Crop Development Centre, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon, Saskatchewan S7N 5A8.<br />

Hull peeling resistance in barley and malt is desired by <strong>the</strong> malting and brewing industry. A group <strong>of</strong><br />

15 two-row malting barley (Hordeum vulgare L.) lines and one feed cultivar were used to compare<br />

<strong>the</strong>se traits in <strong>Canadian</strong> two-row barley and determine <strong>the</strong>ir relationship to o<strong>the</strong>r agronomic traits,<br />

including grain yield, kernel plumpness, test weight and kernel weight. <strong>Barley</strong> samples from<br />

standard yield test plots at two sites in each <strong>of</strong> Manitoba and Saskatchewan during 1999 and 2000<br />

were evaluated for % hull peeling on a weight basis direct from <strong>the</strong> plot combine (RPWB) and after<br />

inducing peeling with an air-blast de-huller (APWB). Micromalted samples were evaluated for %<br />

hull peeling <strong>of</strong> <strong>the</strong> malt “as is” (RPWM) and after air-blast de-hulling (APWM). Analyses <strong>of</strong><br />

variance over years and locations indicated that hull peeling <strong>of</strong> barley and malt were strongly<br />

influenced by environmental factors, particularly year. However, <strong>the</strong> single largest source <strong>of</strong><br />

variance for RPWM and APWM was <strong>the</strong> genotypic component, indicating that heritability and<br />

response to selection would be higher in malt than barley. Genotypic effects were lowest for RPWB,<br />

but still highly significant (P


Session 3: Malting and Brewing Quality – Poster abstracts<br />

Elimination <strong>of</strong> barley colour defects in Australia<br />

Glen Fox 1 , Maria Sulman 1 and Kevin Young 2<br />

1 Department <strong>of</strong> Primary Industries & Fisheries, Toowoomba, Qld 4350 Australia<br />

2 GxE Crop Research, PO Box 1704, Esperance, WA 6450, Australia<br />

Grain colour defects including staining and black point have been a problem for Australian barley<br />

growers for a number <strong>of</strong> years, resulting in thousands <strong>of</strong> tonnes <strong>of</strong> malting barley being downgraded<br />

each year. Over <strong>the</strong> last decade, research has been conducted investigating many aspects <strong>of</strong> <strong>the</strong>se<br />

disorders, including objective assessment, biochemical evaluation, crop management, storage effects<br />

and resistance breeding. A number <strong>of</strong> breeding lines have been identified with resistances to both<br />

forms <strong>of</strong> colour defects. The black point tissue has been extracted with high levels <strong>of</strong> phenolic acids<br />

(namely ferulic and coumaric acids) being present suggesting <strong>the</strong> dark pigmentation may be a large<br />

polyphenolic compound. Black pointed grain also has an impact on germination rate. Markers for<br />

black point resistance coincide with markers for dormancy and pre-harvest sprouting amylase. The<br />

effects on fungal contamination results in a dark staining on <strong>the</strong> grain. A number <strong>of</strong> factors impact <strong>of</strong><br />

<strong>the</strong> degree <strong>of</strong> staining including pre-harvest rainfall, timing <strong>of</strong> <strong>the</strong> rainfall event and pre-existing level<br />

<strong>of</strong> resistance. Husk content also appears to have an impact on <strong>the</strong> final appearance <strong>of</strong> <strong>the</strong> grain.<br />

Markers for husk content also coincide with genetic regions for dormancy and pre-harvest sprouting.<br />

The improvement <strong>of</strong> grain quality at intake can be delivered through two options; 1. <strong>the</strong> development<br />

<strong>of</strong> barley varieties with resistance to <strong>the</strong>se grain defects as resistance to black point and staining has<br />

been shown to be heritable and 2. optimising early harvest strategies and cool-air drying on-farm.<br />

glen.fox@dpi.qld.gov.au<br />

Characterization <strong>of</strong> barley tissue-ubiquitous beta-amylase2<br />

Suzanne E. Clark 1 , Patrick M. Hayes 2 , and Cynthia A. Henson 1,3<br />

1 Dept. <strong>of</strong> Agronomy, University <strong>of</strong> Wisconsin-Madison,<br />

2 Dept. <strong>of</strong> Crop and Soil Science, Oregon State University, and<br />

3 UDA-ARS Cereal Crops Research Unit, Madison, WI<br />

There are two barley β-amylases genes, encoding important starch degrading enzymes. The<br />

endosperm-specific β-amylase (Bmy1), <strong>the</strong> more abundant isozyme in cereal seeds, has been<br />

thoroughly characterized. The lesser abundant β-amylase2 (Bmy2), has not been biochemically<br />

characterized from any cereal seeds. Characterization <strong>of</strong> Bmy2 from two commonly grown barley<br />

(Hordeum vulgare L.) cultivars, ‘Morex’ and ‘Steptoe’, was a major objective <strong>of</strong> this study. The<br />

bmy2 cDNAs were sequence, expressed in Escherichia coli, and <strong>the</strong> recombinant enzymes (rBmy2)<br />

characterized. The relative hydrolysis rates <strong>of</strong> various a-D-glucans and <strong>the</strong> pH activity optima <strong>of</strong><br />

‘Morex’ and ‘Steptoe’ rBmy2s were <strong>the</strong> same and not significantly different from barley rBmy1.<br />

The ‘Morex’ rBmy2 was 7 o C more <strong>the</strong>rmostable than <strong>the</strong> ‘Steptoe’ rBmy2, determined by<br />

differences in <strong>the</strong>ir T50 values, and is more <strong>the</strong>rmostable than any reported wild type β-amylase1.<br />

Three amino acid differences were identified between <strong>the</strong> two Bmy2 sequences and <strong>the</strong> contributions<br />

to enzyme <strong>the</strong>rmostability evaluated by site-directed mutagenesis. Examination <strong>of</strong> mutant enzymes<br />

with one amino acid substitution revealed that each <strong>of</strong> <strong>the</strong> three residues contributed ~3 o C to <strong>the</strong><br />

<strong>the</strong>rmostability <strong>of</strong> <strong>the</strong> ‘Morex’ wild type rBmy2. Mutant enzymes with two amino acid substitutions<br />

contributed ~5.6 o C and <strong>the</strong> triple amino acid mutant enzyme contributed ~8.7 o C to <strong>the</strong>rmostability.<br />

To date, no quantitative trait loci (QTL) for malting quality traits have been associated with <strong>the</strong> bmy2<br />

locus. Should an association be discovered, <strong>the</strong> ‘Morex’ bmy2 allele, containing D238, M337 and<br />

Q362, provides a discrete signature <strong>of</strong> a <strong>the</strong>rmostable β-amylase2 that could be targeted for marker<br />

assisted selection.<br />

Corresponding author: cahenson@wisc.edu<br />

- 110 -


Session 3: Malting and Brewing Quality – Poster abstracts<br />

<strong>Barley</strong> seed osmolyte concentration as an indicator <strong>of</strong> preharvest sprouting<br />

Cynthia A. Henson 1,2 , Stanley H. Duke 2 , Paul Schwarz 3 , Rich Horsley 3 , and Charles Karpelenia 1<br />

1 USDA-ARS Cereal Crops Research Unit, Madison, WI 53706,<br />

2 Department <strong>of</strong> Agronomy, University <strong>of</strong> Wisconsin, Madison, WI 53706,<br />

3 Department <strong>of</strong> Plant Sciences, North Dakota State University, Fargo ND 58105<br />

This study was conducted to test <strong>the</strong> hypo<strong>the</strong>sis that barley seed osmolyte concentrations can be used<br />

as an indicator <strong>of</strong> preharvest sprouting (PHS). Osmolyte concentrations from <strong>the</strong> 2002 Minnesota<br />

and North Dakota crops were compared to pearling and o<strong>the</strong>r techniques for assessment <strong>of</strong> PHS.<br />

Approximately 30% <strong>of</strong> <strong>the</strong> seed evaluated were sprouted. Samples were evaluated for osmolyte<br />

concentrations, pearling, and Stirring Number, while smaller subsets were evaluated using o<strong>the</strong>r<br />

methodologies. Osmolyte concentrations correlated well with pearling (r=0.822, P


Session 3: Malting and Brewing Quality – Poster abstracts<br />

Relationships among malt fermentability and malt quality parameters under<br />

<strong>the</strong> influence <strong>of</strong> barley β-amylase heat stable allele<br />

Blanca Gómez* 1 , Héctor Acevedo 2 , and Ana Clara López 3<br />

1 Malting Unit, Cereal Department, Laboratorio Tecnológico del Uruguay, Av. Italia 6201 CP 11500, Montevideo, Uruguay<br />

2 Quality Laboratory, Malteria Oriental S.A. Abrevadero 5525, Montevideo, Uruguay<br />

3 Biotechnology Department, Laboratorio Tecnológico del Uruguay, Av. Italia 6201 CP 11500, Montevideo, Uruguay.<br />

Starch hydrolysis during germination is achieved by <strong>the</strong> action <strong>of</strong> four major enzymes, -and βamylase,<br />

limit dextrinase and -glucosidase. This hydrolysis produces fermentable sugars required<br />

for yeast nutrition in brewing. Fermentability is a critical quality parameter for brewing that affects<br />

<strong>the</strong> level <strong>of</strong> alcohol produced by yeast, and is typically assessed in malt extracts by determining <strong>the</strong><br />

change in specific gravity after small scale fermentation, referred to as apparent attenuation limit.<br />

Diastatic power is a measure <strong>of</strong> <strong>the</strong> capacity <strong>of</strong> <strong>the</strong> malt to degrade starch into fermentable sugars and<br />

is primarily determined by β-amylase activity. Although diastatic power is a reasonable predictor <strong>of</strong><br />

fermentability, it does not always accurately estimate <strong>the</strong> level <strong>of</strong> fermentable sugar generated during<br />

mashing or <strong>the</strong> subsequent fermentability <strong>of</strong> <strong>the</strong> resultant wort. β-amylase is one <strong>of</strong> <strong>the</strong> major<br />

proteins found in <strong>the</strong> starchy endosperm, which rapidly loses activity at mashing temperatures above<br />

55ºC. Two alleles with different β-amylase enzyme <strong>the</strong>rmostability are distinguished with <strong>the</strong><br />

insertion/deletion <strong>of</strong> a palindromic 126-pb sequence in intron III <strong>of</strong> β-amy1 gene. Increased<br />

<strong>the</strong>rmostability results in more efficient starch degradation. <strong>Barley</strong> cultivars with high <strong>the</strong>rmostability<br />

β-amylase allele will achieve high levels <strong>of</strong> fermentability without a good malt modification. On <strong>the</strong><br />

o<strong>the</strong>r hand, barley cultivars with low <strong>the</strong>rmostability β-amylase allele will achieve high levels <strong>of</strong><br />

fermentability if <strong>the</strong>y achieve high levels <strong>of</strong> malt modification. The objective <strong>of</strong> this study was to<br />

determine <strong>the</strong> influence <strong>of</strong> heat stable β-amylase allele in <strong>the</strong> relationship between fermentability and<br />

quality parameters. We characterized 40 commercial malting barley varieties from different<br />

countries. The malt quality data used in <strong>the</strong> correlations studies come from <strong>the</strong> average <strong>of</strong> <strong>the</strong> results<br />

obtained by 50 laboratories. The quality malt parameters analyzed were: Fine Grind Extract, Total<br />

Nitrogen, Hartong 45, Diastatic Power, Wort Viscosity, Alpha-Amylase, Friability, Free Amino<br />

Nitrogen, Final Attenuation Apparent and Soluble β-Glucans. Significant correlations were obtained<br />

from <strong>the</strong> statistical point <strong>of</strong> view, but values <strong>of</strong> R square explained less than 20 % <strong>of</strong> <strong>the</strong> variability<br />

among <strong>the</strong> parameters. In general, barley varieties that present high <strong>the</strong>rmostability β-amylase allele<br />

showed better qualitative levels <strong>of</strong> fermentability and malt modification than <strong>the</strong> varieties with low<br />

<strong>the</strong>rmostability β-amylase allele. From <strong>the</strong>se results we conclude that <strong>the</strong> fermentability is not easily<br />

predicted from quality parameters, <strong>the</strong>refore <strong>the</strong> use <strong>of</strong> β-amy1 allele in barley breeding program is<br />

necessary to improve fermentability levels in malting barley grains. More studies are needed to<br />

understand all <strong>the</strong> properties that influence malt fermentability and how <strong>the</strong>y interact.<br />

- 112 -<br />

*Corresponding author: bgomez@latu.org.uy


Session 4: Breeding, Agronomy, and Germplasm<br />

Tuesday, July 19, 2005 – p.m.<br />

Session 4: BREEDING, AGRONOMY, AND GERMPLASM<br />

Chairs<br />

Joseph Nyachiro and Bill Chapman<br />

Presenters<br />

Dale Clark, Western Plant Breeders<br />

Mike Grenier, <strong>Canadian</strong> Wheat Board<br />

George Clayton, Agriculture & Agri-Food Canada, Lacombe Research Centre<br />

Anthony Anyia, Alberta Research Council<br />

Mario Therrien, Agriculture & Agri-Food Canada, Brandon Research Centre<br />

Patricia Juskiw, Field Crop Development Centre<br />

- 113 -


<strong>Barley</strong> ecology and management<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Clayton, G.W. 1 , O’Donovan, J.T. 2 , Irvine, R.B. 3 , Harker, K.N. 1 , Turkington, T.K. 1 Lupwayi, N.Z. 2 , and<br />

McKenzie, R.H. 4<br />

Agriculture and Agri-Food Canada, 1 Lacombe, 2 Beaverlodge, Alberta, 3 Brandon, Manitoba, Canada; and<br />

4 Alberta Agriculture, Food and Rural Development, Lethbridge, AB<br />

Background and Objectives<br />

Short-term experiments can lead to low input management recommendations that are pr<strong>of</strong>itable<br />

in <strong>the</strong> short-term, however, it is doubtful if such practices would continue to be pr<strong>of</strong>itable due to<br />

carryover effects <strong>of</strong> uncontrolled weeds and diseases. Many cow/calf producers in central<br />

Alberta plant continuous barley for silage and seed, limiting agro-ecosystem diversity and<br />

favouring pest outbreaks. The objective <strong>of</strong> this experiment was to determine <strong>the</strong> cumulative<br />

effects <strong>of</strong> seeding rate, barley type, rotations and herbicide rate on wild oat management and<br />

disease. <strong>Barley</strong> variety/seeding rate/herbicide rate combinations were seeded in 2003 on<br />

previous barley (2001) and canola (2002) stubble to evaluate <strong>the</strong> rotational and seeding rate<br />

impact on reducing input costs and minimizing <strong>the</strong> risk associated with disease pressure under<br />

continuous barley situations.<br />

Methods<br />

Field experiments were conducted at Beaverlodge, Fort Vermilion and Lacombe, Alberta and<br />

Brandon, Manitoba in 2001, 2002 and 2003. Two barley varieties, Peregrine (short) and AC<br />

Bacon (tall), were seeded at 200 and 400 seeds per m 2 in <strong>the</strong> continuous barley each year. <strong>Barley</strong><br />

seeded at 100 seeds per m 2 is equivalent to approximately ¾ bushel, however, this can change<br />

every year depending on barley type, variety and seed weight. In addition, hulled barley emerges<br />

at approximately 75% <strong>of</strong> seeds planted, whereas, hull-less barley emerges at approximately 60%<br />

<strong>of</strong> seeds planted. Planting by number <strong>of</strong> seeds per ft 2 or m 2 ensures <strong>the</strong> targeted plant<br />

establishment. Rotational barley included a canola crop that replaced <strong>the</strong> short and tall barley in<br />

2002. Herbicide treatments were applied at full, half (H) and quarter (Q) recommended rate.<br />

Results from trials at Beaverlodge and Fort Vermilion were similar in nature to those in<br />

Lacombe. Only Lacombe and Brandon results are shown.<br />

Results<br />

Lacombe<br />

Weed Biomass and Grain yield<br />

Continuous barley had wild oat biomass that was 2.5 times that <strong>of</strong> rotational barley. Tall barley<br />

with a high seeding rate and a quarter <strong>of</strong> <strong>the</strong> recommended herbicide rate significantly reduced<br />

wild oat biomass compared to short barley with a low seeding rate and a quarter <strong>of</strong> <strong>the</strong><br />

recommended herbicide rate in continuous and rotational barley (Fig. 1a). Wild oat biomass was<br />

increased 11 times and 23 times when short barley was grown compared to tall barley at half and<br />

a quarter <strong>of</strong> <strong>the</strong> recommended herbicide rate, respectively. Grain yield was 8% higher from<br />

rotational barley than continuous barley (Fig. 1b). Grain yield increased with <strong>the</strong> high seeding<br />

rate compared to <strong>the</strong> low seeding rate for both <strong>the</strong> short and tall barley.<br />

- 114 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Brandon<br />

Weed Biomass and Grain yield<br />

Tall barley with a high seeding rate and half <strong>the</strong> recommended herbicide rate significantly<br />

reduced wild oat biomass compared to short barley with a low seeding rate and half <strong>the</strong><br />

recommended herbicide rate. Only tall barley and high seeding rate reduced wild oat biomass at<br />

<strong>the</strong> quarter herbicide rate compared to <strong>the</strong> o<strong>the</strong>r treatments (<strong>Barley</strong>*seed rate* herbicide rate,<br />

P


Wild Oat Biomass (kg/ha)<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Herbicide Rate<br />

Seeding Rate<br />

Grain Yield (kg/ha)<br />

7000<br />

6500<br />

6000<br />

5500<br />

5000<br />

4500<br />

4000<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Herbicide Rate<br />

Seeding Rate<br />

A<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

H Q H Q H Q H Q H Q H Q H Q H Q<br />

Continuous <strong>Barley</strong> Rotational <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

H Q H Q H Q H Q H Q H Q H Q H Q<br />

200 400<br />

Continuous <strong>Barley</strong> Rotational <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

200 400<br />

B<br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

200 400 200 400 200 400<br />

200 400 200 400 200 400<br />

Fig.1. Relationship between barley rotation (barley/barley), barley type (short vs tall), herbicide<br />

rate (H=50% recommended and Q = 25% recommended) and seeding rate (200 and 400 seeds<br />

planted per m 2) on (a) wild oat biomass (kg/ha – 1000 kg = ½ ton/acre) and (b) grain yield (kg/ha<br />

- 1000 kg = ~20 bushels) in 2003 at Lacombe, Alberta.<br />

- 116 -


Grain Yield (kg/ha) Wild Oat Biomass (kg/ha)<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Herbicide Rate<br />

Seeding Rate<br />

6000<br />

5500<br />

5000<br />

4500<br />

4000<br />

3500<br />

3000<br />

2500<br />

2000<br />

1500<br />

1000<br />

500<br />

0<br />

Herbicide Rate<br />

Seeding Rate<br />

A<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

H Q H Q H Q H Q H Q H Q H Q H Q<br />

Continuous <strong>Barley</strong> Rotational <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

H Q H Q H Q H Q H Q H Q H Q H Q<br />

200 400<br />

Continuous <strong>Barley</strong> Rotational <strong>Barley</strong><br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

200 400<br />

B<br />

Short <strong>Barley</strong> Tall <strong>Barley</strong><br />

200 400 200 400 200 400<br />

Seeds m 2<br />

200 400 200 400 200 400<br />

Fig.2. Relationship between barley rotation (barley/barley), barley type (short vs tall), herbicide<br />

rate (H=50% recommended rate and Q = 25% recommended rate) and seeding rate (200 and 400<br />

seeds planted per m 2) on (a) wild oat biomass (kg/ha – 1000 kg = ½ ton/acre) and (b) grain yield<br />

(kg/ha - 1000 kg = ~20 bushels) in 2003 at Brandon, Manitoba.<br />

- 117 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Carbon isotope discrimination as a selection criterion for improved water<br />

use efficiency and productivity <strong>of</strong> barley on <strong>the</strong> prairies<br />

Anyia, A.O. (1), Archambault, D.J. (1), Slaski, J.J. (1), and Nyachiro, J.M. (2)<br />

1: Environmental Technologies, Alberta Research Council Inc., P.O. Bag 4000, Vegreville, Alberta, T9C 1T4<br />

2: Field Crop Development Centre, Alberta Agriculture Food and Rural Development, Lacombe, Alberta, T4L 1W8<br />

Abstract<br />

This study was done to evaluate <strong>the</strong> application <strong>of</strong> carbon isotope ( 13 C) discrimination (∆) as a<br />

selection criterion for improving water use efficiency (WUE) and productivity <strong>of</strong> barley on <strong>the</strong><br />

<strong>Canadian</strong> prairies. Ten genotypes were subjected to drought at <strong>the</strong> jointing stage to study <strong>the</strong><br />

relationship between ∆, WUE and barley productivity. Drought caused considerable reductions<br />

in aerial biomass and grain yield <strong>of</strong> all genotypes examined. Significant genotypic variation was<br />

found in WUE. Significant correlations were found between ∆, and WUE as well as ∆ and aerial<br />

biomass and grain productivity, which highlight <strong>the</strong> potential <strong>of</strong> ∆ (leaves or seeds) as a rapid<br />

and reliable method for evaluating WUE and productivity <strong>of</strong> barley. Genotypes (Manny, Trochu<br />

and Seebe) with <strong>the</strong> highest WUE (low ∆) under drought conditions showed performance<br />

comparable to <strong>the</strong> genotypic average under well-watered conditions. This suggests <strong>the</strong> potential<br />

for improving WUE under drought conditions without yield penalties when conditions are<br />

optimum. More research is needed to test this technique under field conditions and to establish a<br />

standard protocol that can be used to develop new, improved, water use efficient barley varieties.<br />

Introduction<br />

When pests and diseases are effectively controlled, moisture stress is <strong>the</strong> major limitation <strong>of</strong> crop<br />

yield across <strong>the</strong> <strong>Canadian</strong> prairies. Producers <strong>of</strong>ten rely on varieties selected for high yield that<br />

are adapted to several environments. Yields, however, do vary within and between locations and<br />

years reflecting differences in seasonal distribution and severity <strong>of</strong> water deficit. In water-limited<br />

environments, crop yield is a function <strong>of</strong> water use, water use efficiency (WUE) and <strong>the</strong> harvest<br />

index (Passioura, 1977). Water use efficiency or water productivity is defined as aerial biomass<br />

yield/water use. Crop management or <strong>the</strong> behavior <strong>of</strong> various cultivars due to intrinsic<br />

differences can influence water use efficiency. Water use efficiency is a trait that has been<br />

proposed as a criterion for yield improvement under drought (Rebetzke et al., 2002, Condon and<br />

Richard 1992). Breeding for improved WUE has, however been limited for a long time by lack<br />

<strong>of</strong> screening methodology. Farquhar et al. (1982) found that <strong>the</strong> extent to which C3 plants<br />

discriminate against <strong>the</strong> carbon isotope 13 C during carbon assimilation was related to <strong>the</strong>ir water<br />

use efficiency.<br />

This study was done to evaluate <strong>the</strong> use <strong>of</strong> 13 C discrimination as a selection tool for identifying<br />

water use efficient and drought tolerant barley.<br />

Materials and Methods<br />

Six 6-row and four 2-row barley genotypes were used for <strong>the</strong> study. The 6-row genotypes were:<br />

AC-Lacombe, Kasota, Manny, Trochu, Tyto and Vivar. The 2-row cultivars were: CDC Dolly,<br />

Niobe, Ponoka and Seebe.<br />

- 118 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

The experiment was performed in a greenhouse with photoperiod <strong>of</strong> 16 hours using natural light<br />

supplemented with sodium halide light bulbs. Day and night temperature ranged from 20 to 32°C<br />

and 14 to 20°C, respectively while relative humidity was from 10 to 70% throughout <strong>the</strong><br />

experiments. Large pots (30cm tall by 27 cm diameter) were used for <strong>the</strong> study. The pots were<br />

filled with 8 kg <strong>of</strong> soil mix containing field soil and peatmoss in a 1:3 ratio. All pots were<br />

flushed with 4 L <strong>of</strong> tap water and allowed to drain for two days before seeding. Tensiometers<br />

(Irrometer) were installed in selected reference pots to monitore soil water potential. The 10<br />

barley genotypes were compared under two irrigation treatments which were ei<strong>the</strong>r well-watered<br />

(WW) or water stressed (WS). Six seeds <strong>of</strong> each genotype were planted per pot, which were<br />

thinned to 4 seedlings per pot two weeks after emergence. Fertilizer application was done 3<br />

weeks after seeding at 112 kgN/ha, 39 kgP2O5/ha, 85 kgK2O/ha and 13 kgS/ha equivalents. Each<br />

genotype was replicated 4 times and all pots were completely randomised.Water stress (drought)<br />

was imposed at <strong>the</strong> jointing stage by withholding irrigation until <strong>the</strong> soil moisture content was<br />

approximately 10 volume% compared to 30 volume% <strong>of</strong> <strong>the</strong> well watered treatments. These<br />

moisture levels were <strong>the</strong>n maintained until grain maturity. A 2cm layer <strong>of</strong> perlite was put on each<br />

pot to reduce surface evaporation. Water use was monitored by weighing <strong>the</strong> pots regularly and<br />

replacing <strong>the</strong> amount <strong>of</strong> water lost.<br />

At <strong>the</strong> heading stage, leaf laminas <strong>of</strong> plants <strong>of</strong> each genotype were harvested and dried at 70°C<br />

for 48 hours. Dried samples were ground to pass a 1-mm sieve and <strong>the</strong> carbon isotope<br />

composition <strong>of</strong> each cultivar was determined by mass spectrometry. At maturity, plants were<br />

harvested and aerial biomass, grain yield and its components were assessed. Seeds <strong>of</strong> each<br />

genotype were sampled and processed for determination <strong>of</strong> carbon isotope composition.<br />

Data were analyzed using SAS, version 10.0 (SAS Institute, Cary, NC) s<strong>of</strong>tware. A linear<br />

correlation analysis was used to examine <strong>the</strong> mean genotypic relationships between traits using<br />

<strong>the</strong> CORR procedure.<br />

Results and Discussion<br />

Among <strong>the</strong> 6-row barley genotypes, significant differences were observed within each irrigation<br />

treatment in WUE and 13 C discrimination. For ∆-seeds and ∆-leaves, extreme cultivars differed<br />

by 1.72 and 1.91, respectively, under drought and by 1.61 and 1.22, respectively, under wellwatered<br />

conditions (data not shown). Among <strong>the</strong> 2-row genotypes, no significant differences<br />

were found in WUE, but 13 C discrimination (∆-seeds and ∆-leaves) was significantly different<br />

under both watering conditions. For ∆-seeds and ∆-leaves, extreme cultivars differed by 2.35 and<br />

1.27, respectively, under drought and by 0.94 and 1.15, respectively under well-watered<br />

conditions (data not shown).<br />

Among <strong>the</strong> 6-row barley genotypes, WUEDM was strongly correlated with both ∆-seeds and ∆leaves<br />

under drought (Fig. 1 & 2). Aerial dry matter production (DM) and grain yield were also<br />

strongly correlated with ∆-seeds (Figs. 3 & 4). Similar correlations were observed among <strong>the</strong> 2row<br />

barley cultivars under drought, except grain yield and ∆-seeds, which showed no<br />

relationship (Figures not shown).<br />

- 119 -


Water use efficiency (dm)<br />

4.6<br />

4.4<br />

4.2<br />

4<br />

3.8<br />

3.6<br />

3.4<br />

3.2<br />

3<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

y = -0.7035x + 16.957<br />

R 2 = 0.9347<br />

17.5 18 18.5 19 19.5 20<br />

13C discrimination <strong>of</strong> seeds (per mil)<br />

Figure 1: Relationship between 13 C discrimination <strong>of</strong> seeds and WUE (based on dry<br />

matter/water use) <strong>of</strong> 6-row barley under water stress.<br />

Water use efficiency (dm)<br />

4.6<br />

4.4<br />

4.2<br />

4<br />

3.8<br />

3.6<br />

3.4<br />

3.2<br />

3<br />

y = -0.4525x + 13.573<br />

R 2 = 0.5821<br />

20.5 21 21.5 22 22.5 23<br />

13C discrimination <strong>of</strong> leaves (per mil)<br />

Figure 2: Relationship between 13 C discrimination <strong>of</strong> leaves and WUE (based on dry<br />

matter/water use) <strong>of</strong> 6-row barley under water stress<br />

- 120 -


Aerial dry matter (g/plant)<br />

19<br />

18<br />

17<br />

16<br />

15<br />

14<br />

13<br />

12<br />

11<br />

10<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

y = -2.7471x + 66.828<br />

R 2 = 0.7762<br />

17.5 18 18.5 19 19.5 20<br />

13C discrimination <strong>of</strong> seeds (per mil)<br />

Figure 3: Relationship between 13 C discrimination <strong>of</strong> seeds and aerial dry matter <strong>of</strong> 6-row barley<br />

under water stress<br />

Grain yield (g/plant)<br />

9<br />

8<br />

7<br />

6<br />

5<br />

4<br />

3<br />

2<br />

y = -1.5929x + 35.51<br />

R 2 = 0.445<br />

17.5 18 18.5 19 19.5 20<br />

13C discrimination <strong>of</strong> seeds (per mil)<br />

Figure 4: Relationship between 13 C discrimination <strong>of</strong> seeds and grain yield <strong>of</strong> 6-row barley<br />

under water stress<br />

- 121 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

The relationship between ∆ and WUE have been studied extensively in several species and <strong>the</strong> 2<br />

traits have been reported to be negatively associated (Farquhar and Richards 1984, Condon et al.,<br />

1990, Read et al., 1991, Ebdon et al., 1998, Teulat et al., 2001, Rebetzke et al., 2002). High<br />

correlations have been reported between ∆ and aerial biomass or grain yield (Johnson and<br />

Bassett, 1991; Acevedo, 1993; Condon and Richards, 1993; Teulat , 2001).<br />

Variation in ∆ in cereals is known to arise from variation in photosyn<strong>the</strong>tic capacity as well as<br />

stomatal conductance (Condon et al., 1990; Morgan and LeCain, 1991). Some studies have<br />

shown that when stomatal conductance is <strong>the</strong> main source <strong>of</strong> variation in WUE and when water<br />

supply does not impose a major limitation on crop growth, a high WUE may be disadvantageous<br />

(Condon et al., 2002). A review by Condon et al., (2002) suggests that improved WUE may be<br />

useful in stored-moisture environments where within-season rainfall makes up a relatively small<br />

proportion <strong>of</strong> <strong>the</strong> total water available for growth.<br />

Results obtained in <strong>the</strong> present study indicate that significant variation exists in WUE amongst<br />

<strong>the</strong> barley genotypes examined. The strong correlations between ∆ and aerial biomass highlight<br />

<strong>the</strong> potential <strong>of</strong> ∆ as a measure <strong>of</strong> productivity in barley subjected to drought in a greenhouse.<br />

There is a need to screen more genotypes and to verify <strong>the</strong> usefulness <strong>of</strong> ∆ (leaves or seeds) in<br />

breeding programs under field conditions.<br />

References<br />

Acevedo, E. 1993. Potential <strong>of</strong> carbon isotope discrimination as a selection criterion in barley<br />

breeding. p. 399–417. In J.R. Ehleringer et al. (ed.) Stable Isotopes and Plant Carbon-Water<br />

Relations. Academic Press, San Diego, CA.<br />

Condon, A.G. and R.A. Richards 1992. Broad sense heritability and genotype x environment<br />

interaction for carbon isotope discrimination in field-grown wheat. Aust. J. Agric. Res.<br />

43:921–934.<br />

Condon, A.G., and R.A. Richards, 1993. Exploiting genetic variation in transpiration efficiency<br />

in wheat: An agronomic view. p. 435–450. In J.R. Ehleringer et al. (ed.) Stable Isotopes and<br />

Plant Carbon-Water Relations. Academic Press, San Diego, CA.<br />

Condon, A.G., G.D. Farquhar, and R.A. Richards 1990. Genotypic variation in carbon isotope<br />

discrimination and transpiration efficiency in wheat. Leaf gas exchange and whole plant<br />

studies. Aust. J. Plant Physiol. 17:9–22.<br />

Condon, A.G., R.A. Richards. G.J. Rebetzke, and G.D. Farquhar 2002. Improving intrinsic<br />

water-use efficiency and crop yield. Crop Sci.42:122-131.<br />

Ebdon, J.S., A. M. Petrovic and T. E. Dawson 1998. Relationship between carbon isotope<br />

discrimination and evapotranspiration in Kentuckey bluegrass. Crop Sci. 38: 157-162.<br />

Farquhar, G.D., and R.A. Richards 1984. Isotopic composition <strong>of</strong> plant carbon correlates with<br />

water-use efficiency <strong>of</strong> wheat genotypes. Aust. J. Plant Physiol. 11: 539–552.<br />

Farquhar, G.D., M.H. O'Leary, and J.A. Berry. 1982. On <strong>the</strong> relationship between carbon isotope<br />

discrimination and <strong>the</strong> intercellular carbon dioxide concentration in leaves. Aust. J. Plant<br />

Physiol. 9: 121–137.<br />

Johnson, D. A., and L. M. Bassett 1991: carbon isotope discrimination and water use efficiency<br />

in four cold season grasses. Crop Sci. 31, 457-463.<br />

- 122 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Morgan, J.A. and D.R. LeCain 1991. Leaf gas exchange and related leaf traits among 15 winter<br />

wheat genotypes. Crop Sci. 31: 443–448.<br />

Passioura, J.B. 1977. Grain yield, harvest index, and water use <strong>of</strong> wheat. J. Aust. Inst. Agric. Sci.<br />

43: 117–120.<br />

Read, J.J., D.A. Johnson, K.H. Asay and., L. L. Tieszen 1991. Carbon isotope discrimination,<br />

gas exchange, and water-use efficiency in crested wheat grass clones. Crop Sci. 31, 1203-<br />

1208.<br />

Rebetzke, G.J., A.G. Condon, R.A. Richards, and G.J. Farquhar 2002. Selection for reduced<br />

carbon-isotope discrimination increases aerial biomass and grain yield <strong>of</strong> rainfed bread<br />

wheat. Crop Sci.42: 739-745.<br />

Teulat B., O. Merah and D. This 2001. Carbon isotope discrimination and productivity in field<br />

grown barley genotypes. J. Agron. Crop Sci. 187: 33-39.<br />

- 123 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Twenty-five years <strong>of</strong> male-sterile-facilitated recurrent selection in barley<br />

Mario C. Therrien<br />

AAFC Brandon Research Centre, Box 1000A, RR#3, Brandon, MB Canada R7A 5Y3<br />

Using a phenotypic marker-assisted system developed by Falk and Kasha (1982), a Male-Sterile<br />

Facilitated Recurrent Selection (MSFRS) program was initiated at <strong>the</strong> Agriculture and Agri-Food<br />

Canada research facility in Brandon, Manitoba, in 1980. The purpose was to develop germplasm<br />

that would accumulate additive genetic effects for beneficial traits, including (horizontal) disease<br />

resistance and improved grain and biomass yield. After 25 cycles <strong>of</strong> recurrent selection,<br />

involving multiple genotypes from global sources, 4 populations have been developed<br />

demonstrating improved levels <strong>of</strong> disease resistance, to multiple pathogens that are prevalent in<br />

<strong>the</strong> Nor<strong>the</strong>rn Great Plains, when compared to conventionally bred genotypes. As well, one sixrow<br />

forage cultivar has been developed, with high biomass production and grazing tolerance, as<br />

well as several elite lines showing promise as future forage cultivars. Several hulless lines have<br />

also been produced showing markedly reduced levels <strong>of</strong> deoxynivalenol (DON) mycotoxin,<br />

incited by <strong>the</strong> pathogen Fusarium graminearum. The MSFRS program is a low-cost approach to<br />

long-term germplasm enhancement that can be applied to direct development <strong>of</strong> forage barley as<br />

well as parental lines demonstrating multiple disease resistance in a single background.<br />

Introduction<br />

In <strong>the</strong> late 1960’s, a number <strong>of</strong> researchers around <strong>the</strong> world began to investigate <strong>the</strong> possibility<br />

<strong>of</strong> introgressing numerous traits in barley using naturally occurring genic male sterility from<br />

several sources. Under certain conditions, barley could be made to out-cross in <strong>the</strong> field in a<br />

manner similar to that <strong>of</strong> rye (Secale cereale L.). Hockett and Eslick (1970) observed that<br />

enough out-crossing could take place, in barley, to provide for a useful tool in developing<br />

Composite Cross populations for use in germplasm improvement and, possibly, direct cultivar<br />

development. This approach would be advantageous over conventional crossing by virtue <strong>of</strong><br />

being able to generate potentially large quantities <strong>of</strong> hybrid seed, under <strong>the</strong> right conditions,<br />

without much labour input and allow for relatively rapid production <strong>of</strong> multi-way crosses. In<br />

North America, multi-way crosses, for agronomically useful traits, were successfully produced,<br />

in <strong>the</strong> form <strong>of</strong> Male-Sterile-Derived Composite Cross populations (Ahokas and Hockett, 1981).<br />

To ensure that hybrid seed could be easily identified, <strong>the</strong> male-sterility genes were linked to<br />

visual genetic markers, including orange lemma and shrunken endosperm characters (Falk and<br />

Kasha, 1982). These developments allowed for practical recurrent selection breeding in <strong>the</strong> field.<br />

Materials and Methods<br />

In 1980, hybrid seed was obtained from Dr. E.F. Hockett, Montana State University that was<br />

produced from a long-standing (20 yr) composite cross population (CC XXXIII) containing <strong>the</strong><br />

msg6 male sterile gene. At <strong>the</strong> same time, elite germplasm containing <strong>the</strong> male-sterile msg6, and<br />

<strong>the</strong> linked genes for orange lemma (o) and shrunken endosperm (sex), were obtained from Dr.<br />

D.E. Falk, Guelph University. Controlled crosses were made in <strong>the</strong> greenhouse in 1980 and 1981<br />

involving male-sterile and male fertile plants between both <strong>the</strong> CC XXXIII and marker<br />

populations. Marker-tagged male sterile progeny, from this initial cross, were <strong>the</strong>n crossed to 102<br />

elite barley lines varying widely in genetic background and agronomic performance. Each set <strong>of</strong><br />

- 124 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

crosses was maintained separately, in isolation from o<strong>the</strong>r barley, in <strong>the</strong> field and allowed to<br />

hybridize freely over 3 successive seasons, from 1982 to 1984. This initial work was conducted<br />

by Dr. R.B. Irvine, who preceded <strong>the</strong> author as breeder at <strong>the</strong> Brandon Research Centre.<br />

From 1985 to 1990, elite lines were introduced to each successful field population with <strong>the</strong> aim<br />

<strong>of</strong> increasing <strong>the</strong> level <strong>of</strong> hybrid seed production in <strong>the</strong> field and reducing <strong>the</strong> incident <strong>of</strong> ergot<br />

(Claviceps purpurea). Initial hybrid seed set was 5%, on average, and ergot infection was<br />

approximately 1% <strong>of</strong> male sterile spikes. Of <strong>the</strong> original 102 populations, only four populations<br />

were selected that could consistently produce a relatively high level <strong>of</strong> hybrid seed and<br />

acceptably low levels <strong>of</strong> ergot infection, in an agronomically acceptable background.<br />

Commencing in 1991, cultivars and elite lines were used as recurrent male parents in a MSFRS<br />

program using each <strong>of</strong> <strong>the</strong> four marker-assisted male sterile populations. After 4 cycles <strong>of</strong><br />

recurrent selection, male fertile <strong>of</strong>fspring were <strong>the</strong>n placed in head row selection nurseries and<br />

selected on phenotype and <strong>the</strong>n evaluated as lines in replicated field trials. During recurrent<br />

selection, <strong>of</strong>fspring were subjected natural field pathogens which exerted moderate selection<br />

pressure for resistance to multiple pathogens in an environment favouring <strong>the</strong> development <strong>of</strong><br />

multiple pathogens. The local environment also favoured selection against lodging in most years.<br />

Results and Discussion<br />

It was noted, since early in <strong>the</strong> production <strong>of</strong> lines from <strong>the</strong> MSFRS populations, that <strong>the</strong><br />

material tended to be late, seed production tended to be sub-standard, but an abundance in<br />

biomass. This lent itself to development <strong>of</strong> forage type barley for use mainly in silage. Our<br />

program also produced forage lines from conventional crosses, in parallel. We <strong>the</strong>n evaluated<br />

performance <strong>of</strong> MSFRS forage lines against conventionally bred lines to determine what<br />

advantages, if any, <strong>the</strong> MSFRS approach would have over <strong>the</strong> (more labour-intensive)<br />

conventional ear-to-row pedigree method.<br />

We first examined level <strong>of</strong> disease resistance <strong>of</strong> at least 500 lines from each <strong>of</strong> <strong>the</strong> two breeding<br />

methods, for resistance to a number <strong>of</strong> diseases. Table 1 compares <strong>the</strong> standard (Std) population<br />

vs. <strong>the</strong> Male-Sterile Derived (MSD) population for general leaf diseases in <strong>the</strong> field (LeafDis),<br />

Net Blotch (Nblot) and Spot Blotch (Sblot) in disease nurseries, Fusarium Head Blight (FHB),<br />

and <strong>the</strong> associated mycotoxin deoxynivalenol (DON), in <strong>the</strong> FHB nursery, Common Root Rot<br />

(CRR) in a field nursery, as well as two races <strong>of</strong> Net Blotch (Net857 and Net858), one race <strong>of</strong><br />

Scald (Scld1493), and QCCJ Stem Rust (Stemrst), from laboratory inoculation.<br />

Table 1.<br />

Comparison <strong>of</strong> disease reactions <strong>of</strong> approx. 500 standard cross vs. MSD over 4 years (2001-2004):<br />

Entry LeafDis Nblot Sblot FHB DON CRR Net857 Net858 Scld1493 Stemrst<br />

Std 5.5 4.0 2.7 3.7 29.1 62.4 4.5 8.2 8.8 7.0<br />

MSD 4.8 3.6 2.3 3.4 24.7 61.5 4.4 7.6 8.8 6.4<br />

- 125 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Results show that, except for Scald, <strong>the</strong> MSD population consistently had lower disease<br />

incidence scores than Std populations selected in <strong>the</strong> same environments. In <strong>the</strong> case <strong>of</strong> FHB,<br />

several hulless selections demonstrated very low DON levels that may be released as cultivars in<br />

<strong>the</strong> near future (data not shown), based on <strong>the</strong>ir DON levels and overall agronomic performance.<br />

Thus, breeding for disease resistance using MSFRS can be advantageous over conventional<br />

approaches for some major diseases in barley.<br />

The second advantage for MSFRS is in <strong>the</strong> development <strong>of</strong> high biomass forage barley. Figure 1<br />

compares yield gain, vs. <strong>the</strong> check variety Virden, <strong>of</strong> conventional vs. MSFRS barley lines over<br />

14 years <strong>of</strong> testing. By 2004, conventionally bred forage lines produced a yield advantage, over<br />

Virden, <strong>of</strong> approx. 8%, whereas <strong>the</strong> MSFRS lines averaged a 25% yield gain. This dramatic<br />

improvement in yield is <strong>of</strong>f-set by susceptibility to lodging that is generally severe. However,<br />

each population has produced a few lines with good to excellent resistance to lodging. One <strong>of</strong><br />

<strong>the</strong>se lines, tested as FB006, is slated to be released as a cultivar in 2005. FB006 has an average<br />

12.5% yield advantage over Virden with improved forage quality. Several o<strong>the</strong>r selections show<br />

equal or greater promise.<br />

Fig.1<br />

Relative Yield gain<br />

130.0<br />

125.0<br />

120.0<br />

115.0<br />

110.0<br />

105.0<br />

100.0<br />

Comparison <strong>of</strong> mean annual yield gain - conventional vs MSFRS - in 6R barley (Bdn)<br />

%ck<br />

%std<br />

1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004<br />

Year<br />

- 126 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

In conclusion, MSFRS is a very useful breeding tool for long-term germplasm development<br />

where multiple disease resistance is desired and direct production <strong>of</strong> high-yielding forage<br />

cultivars is a goal <strong>of</strong> <strong>the</strong> breeding effort.<br />

References<br />

Ahokas, H., and Hockett, E.F. (1981). Performance tests <strong>of</strong> cytoplasmic male-sterile barley at<br />

two different latitudes. Crop Sci. 21(4): 607-611.<br />

Falk, D.E. and K.J. Kasha. (1982). Registration <strong>of</strong> a shrunken endosperm, male-sterile<br />

germplasm to facilitate hybridization in barley.<br />

Hockett, E.F. and Eslick, R.F. (1970). Natural outcrossing on genetic male sterile barley. Crop<br />

Sci. 10(2): 152-154.<br />

- 127 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Measuring phyllochrons in barley to use for seeding date recommendations<br />

Pat Juskiw, Jim Helm and Joseph Nyachiro<br />

Field Crop Development Centre, 5030 50 th Street, Lacombe AB T4L 1W8<br />

Introduction<br />

A phyllochron is <strong>the</strong> interval between one leaf appearance and <strong>the</strong> next, and can be measured<br />

using calendar or growing degree days. It is a measurement <strong>of</strong> plant development that can be<br />

used to assess how <strong>the</strong> plant has responded to environmental conditions or to predict how it is<br />

going to respond.<br />

In a previous study on <strong>the</strong> effects <strong>of</strong> seeding dates in central Alberta, grain yields <strong>of</strong> barley<br />

varieties were found to decline as seeding was delayed from early May to mid-June (Juskiw et al.<br />

2003; Fig. 1). What was interesting from this study was that <strong>the</strong>re was a link between rapid leaf<br />

development (short phyllochron) and ability to have less yield loss under late seeded conditions.<br />

The link was independent <strong>of</strong> maturity <strong>of</strong> <strong>the</strong> variety.<br />

The objective <strong>of</strong> this study was to determine <strong>the</strong> phyllochrons <strong>of</strong> barley varieties recently<br />

released by Field Crop Development Centre with <strong>the</strong> potential to use this information to make<br />

seeding date recommendations.<br />

Materials and Methods<br />

This study was conducted with plants grown in pots in growth cabinets (Conviron Model PTR15,<br />

Controlled Environments Limited, Winnipeg, MB) at 20/15 o C, 16/8 h and approx. 450 μ-moles<br />

m -2 s -1 . Pots were filled with Promix BX (Premier Horticulture Inc., Rivier-du-Loup, PQ), a<br />

general purpose growing medium <strong>of</strong> sphagnum peat moss, perlite, vermiculite, limestone and<br />

wetting agent. Pots were watered twice weekly with water and once weekly with fertilizer<br />

solution. The varieties used in <strong>the</strong> study were Kasota, Manny, Niobe, Ponoka, Trochu, Tyto, and<br />

Vivar. Kasota, Manny, Tochu, and Vivar are six-rowed, hulled feed types. Niobe and Ponoka<br />

are two-rowed, hulled feed types. Tyto is a six-rowed, hulless feed type. Five seeds were<br />

planted per pot and thinned to two plants per pot at <strong>the</strong> 3-4 leaf stage. Leaf counts <strong>of</strong> <strong>the</strong> main<br />

stem were made on Mondays, Wednesdays, and Fridays from emergence to <strong>the</strong> flag leaf fully<br />

emerged. Final leaf counts <strong>of</strong> <strong>the</strong> main stem were recorded.<br />

Leaf counts were regressed against Growing Degree Days (GDD, 0 o C basis) using Proc GLM <strong>of</strong><br />

SAS (SAS Institute, Inc., Cary NC). Phyllochrons were determined as <strong>the</strong> inverse <strong>of</strong> <strong>the</strong> GDD<br />

regression co-efficient. As well phyllochrons <strong>of</strong> individual leaves were determined by dividing<br />

growing degree days by leaf count for each sampling time.<br />

Results and Discussion<br />

Excellent fits <strong>of</strong> leaf number versus GDD were found for all seven cultivars (Fig. 2). Differences<br />

in phyllochrons <strong>of</strong> <strong>the</strong>se seven varieties were found (Table 1). Kasota, Trochu and Tyto had<br />

relatively rapid phyllochrons; while Ponoka had a slow phyllochron. The values determined in<br />

this study were higher than those reported in Juskiw and Helm (2003) that may reflect a slowing<br />

- 128 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

<strong>of</strong> response under lower light intensities in <strong>the</strong> growth cabinet versus <strong>the</strong> field.<br />

Table 1. Phyllochrons and final leaf numbers <strong>of</strong> seven barley varieties.<br />

Variety Phyllochron (GDD leaf -1 ) Final Leaf Number<br />

Kasota 77 8.75<br />

Manny 87 8.00<br />

Niobe 87 9.75<br />

Ponoka 92 9.43<br />

Trochu 74 9.87<br />

Tyto 72 11.00<br />

Vivar 81 9.00<br />

The combination <strong>of</strong> final leaf number and phyllochron can be used to predict relative maturity<br />

(in crop modeling a certain number <strong>of</strong> phyllochrons are assigned to emergence, head emergence,<br />

completion <strong>of</strong> stem elongation, and kernel filling). At a very simplistic level we used final leaf<br />

number times phyllochron to come up with a leaf development duration to see how well this was<br />

related to relative maturity based on values from <strong>the</strong> Alberta Agriculture, Food and Rural<br />

Development Agdex100/32 (2005) (Table 2). While Tyto had a rapid phyllochron, when this<br />

was combined with its high leaf number, it resulted in a long leaf development duration that was<br />

also reflected in its maturity. Kasota combined a rapid phyllochron with low leaf number to<br />

have a short leaf development duration that reflected its early maturity. Using phyllochron to<br />

estimate maturity would over-estimate <strong>the</strong> maturity for Niobe; and under-estimate that <strong>of</strong> Manny<br />

and Vivar. Fur<strong>the</strong>r study is needed to reconcile such differences if phyllochrons are to be used<br />

for predictive purposes.<br />

Table 2. Leaf development duration and its relationship to maturity for seven barley varieties.<br />

Variety Maturity (d) z<br />

Duration <strong>of</strong> leaf<br />

development (GDD)<br />

Relationship <strong>of</strong> maturity/Leaf<br />

GDD duration<br />

Kasota 94 670 early/early<br />

Manny 97 700 mid/early (?)<br />

Niobe 97 850 mid/late (?)<br />

Ponoka 100 870 late/late<br />

Trochu 96 730 mid-early/mid-early<br />

Tyto 98 790 mid-late/mid-late<br />

Vivar 98 730 mid-late/mid-early (?)<br />

z<br />

Maturities from Alberta, Agriculture, Food and Rural Development (2005).<br />

While <strong>the</strong>re was good fit <strong>of</strong> <strong>the</strong> linear regression <strong>of</strong> leaf number versus GDD, when phyllochrons<br />

were estimated using <strong>the</strong> leaf count at each sampling time, we found that <strong>the</strong> phyllochrons for <strong>the</strong><br />

- 129 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

first two leaves were <strong>of</strong>ten slower than for subsequent leaves (Fig 3.). There were two distinct<br />

patterns: 1) six-rowed cultivars had slow initial phyllochrons followed by more rapid initiation <strong>of</strong><br />

subsequent leaves; and 2) two-rowed cultivars, especially Niobe, had more rapid initiation <strong>of</strong> <strong>the</strong><br />

first two leaves followed by slower initiation <strong>of</strong> subsequent leaves. What effect <strong>the</strong>se differences<br />

in initiation rates would have on competition needs fur<strong>the</strong>r study.<br />

As a final point, we took our long term yield data from 1998 and 2002 at Lacombe and Stettler<br />

and compared yield differences between early and late May planting dates for <strong>the</strong> varieties under<br />

study (Fig. 4 and 5). This was just a quick look to see if a recommendation based on rapid<br />

phyllochrons would be valid. The late planting was generally before <strong>the</strong> end <strong>of</strong> May at ei<strong>the</strong>r<br />

location and would not be considered extremely late, so <strong>the</strong> data is <strong>of</strong> limited value. Our<br />

recommendation based on phyllochrons would be that Tyto, Trochu and Kasota would be <strong>the</strong><br />

varieties <strong>of</strong> choice. However Trochu had one <strong>of</strong> <strong>the</strong> greatest drops in yield from early or mid-<br />

May plantings to <strong>the</strong> late May planting. Overall, Ponoka, Tyto and Vivar had <strong>the</strong> least yield<br />

reductions with <strong>the</strong> later planting. While we would like to make a clear-cut recommendation to<br />

plant Tyto, Trochu or Kasota when faced with late seeding, fur<strong>the</strong>r field work is needed to<br />

confirm or refute <strong>the</strong> phyllochron, late-seeding yield response relationship.<br />

References<br />

Alberta Agriculture, Food and Rural Development. 2005. Varieties <strong>of</strong> Cereals and Oilseed<br />

Crops for Alberta - 2005. Agdex 100/32.<br />

Juskiw, P.E. and Helm, J.H. 2003. <strong>Barley</strong> response to seeding date in central Alberta. Can. J.<br />

Plant Sci. 83:275-281.<br />

Yield as a percent <strong>of</strong><br />

mean site yield <strong>of</strong> 6.57<br />

t/ha<br />

40<br />

30<br />

20<br />

10<br />

0<br />

-10<br />

-20<br />

-30<br />

-40<br />

-50<br />

Early May Mid-May Late May Mid-June<br />

Abee Harrington Jackson Noble Virden<br />

Figure 1. Effects <strong>of</strong> seeding date <strong>of</strong> relative yield <strong>of</strong> five barley varieties (from Juskiw and Helm 2003).<br />

- 130 -


Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

Figure 2. Regression <strong>of</strong> leaf counts against accumulated GDD for seven spring barley varieties.<br />

Figure 3. Phyllochron estimates for individual leaves for seven spring barley varieties.<br />

- 131 -


Yield as a<br />

percent <strong>of</strong><br />

site mean<br />

yield <strong>of</strong> 6.7<br />

t/ha<br />

Yield as a<br />

percent <strong>of</strong><br />

site mean<br />

yield <strong>of</strong> 6.2<br />

t/ha<br />

Session 4: Breeding, Agronomy, and Germplasm – Oral presentations<br />

40<br />

30<br />

20<br />

10<br />

0<br />

-10<br />

-20<br />

-30<br />

30<br />

25<br />

20<br />

15<br />

10<br />

5<br />

0<br />

-5<br />

-10<br />

-15<br />

-20<br />

Early Late<br />

Kasota<br />

Manny<br />

Niobe<br />

Ponoka<br />

Trochu<br />

Tyto<br />

Vivar<br />

Figure 4. Yield response to seeding dates at Lacombe from 1998 to 2003 (where early was <strong>the</strong><br />

first week <strong>of</strong> May and late was <strong>the</strong> last week <strong>of</strong> May).<br />

Mid Late<br />

Kasota<br />

Manny<br />

Niobe<br />

Ponoka<br />

Trochu<br />

Tyto<br />

Vivar<br />

Figure 5. Yield response to seeding dates at Stettler from 1998 to 2003 (where mid was <strong>the</strong><br />

second week <strong>of</strong> May and late was <strong>the</strong> last week <strong>of</strong> May).<br />

- 132 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Russian wheat aphid resistant barley – cultivar and germplasm release<br />

D.W. Mornhinweg 1 , P.P. Bregitzer 2 , D.A. Obert 2 , F.B. Peairs 3 , D. Baltensperger 4 and R. Hammon 3<br />

1 USDA-ARS, Stillwater, OK,<br />

2 USDA-ARS, Aberdeen, ID,<br />

3 Colorado State University,<br />

4 University <strong>of</strong> Nebraska<br />

RWA continues to be a devastating pest <strong>of</strong> barley in <strong>the</strong> high and dry areas <strong>of</strong> <strong>the</strong> Western U.S.A.<br />

Screening <strong>of</strong> <strong>the</strong> entire National Small Grains Collection in Aberdeen Idaho by <strong>the</strong> USDA-ARS in<br />

Stillwater identified 115 accessions with some level <strong>of</strong> resistance ranging from 2 to 6 on Webster’s<br />

scale <strong>of</strong> 1 to 9 where 1 is immune and 9 is dead. Resistant germplasm lines were developed from<br />

each accession and two <strong>of</strong> <strong>the</strong>se lines, STARS 9301B and STARS 9577B were released in 1993 and<br />

1995 respectively. A long term prebreeding project was initiated at <strong>the</strong> USDA-ARS in Stillwater to<br />

develop adapted germplasm lines by bringing multiple sources <strong>of</strong> resistance into barley cultivars and<br />

elite lines <strong>of</strong> both state and federal barley breeders across <strong>the</strong> country. These breeders as well as<br />

extension personal from several states have been involved in field testing <strong>of</strong> <strong>the</strong> 62 prebred<br />

germplasm lines now ready for release. A detailed description <strong>of</strong> <strong>the</strong>se lines and a time table for <strong>the</strong>ir<br />

release will be presented. Along <strong>the</strong> way several feed barley cultivars have also been developed.<br />

The first RWA-resistant barley cultivar, Burton, has released by USDA-ARS in Aberdeen in<br />

conjunction with USDA-ARS in Stillwater and several o<strong>the</strong>r cooperators. Burton, a 2-rowed, hulled,<br />

spring barley, has shown excellent performance in irrigated and dryland areas both in <strong>the</strong> presence<br />

and absence <strong>of</strong> RWA. Three, 2-rowed, spring, feed barleys, developed by <strong>the</strong> USDA-ARS in<br />

Stillwater and Aberdeen and which are adapted to <strong>the</strong> extremely arid conditions <strong>of</strong> <strong>the</strong> western high<br />

plains are currently in seed increase and planned for release this fall. A new biotype, RWA2,<br />

identified in Colorado in <strong>the</strong> summer <strong>of</strong> 2003, has been found to damage all currently grown wheat<br />

cultivars developed for resistance to <strong>the</strong> original biotype, RWA1. All germplasm lines and cultivars<br />

slated for release from this program have been found to be resistant to RWA2 as well as RWA1.<br />

- 133 -<br />

Do. Mornhinweg@ars.usda.gov


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

BARMS: A new relational database for barley breeding programs<br />

D. B. Cooper and Bruce Westlund<br />

Busch Agricultural Resources Inc., Ft. Collins, CO U.S.A. 80524<br />

Breeding programs generate large amounts <strong>of</strong> phenotypic data on parents, segregating populations<br />

and derived experimental lines. There currently are very few commercially available databases that<br />

are specifically designed for use in plant breeding programs.<br />

After conducting an initial study <strong>of</strong> existing database options that were permitted on our corporate<br />

computer systems, it was decided that we should develop a proprietary data solution based on <strong>the</strong><br />

Oracle TM relational database s<strong>of</strong>tware engine. The development process was done in stages that were<br />

user tested and <strong>the</strong>n refined to meet <strong>the</strong> requirement standards and user acceptance. The <strong>Barley</strong> Ag.<br />

Research Management System (BARMS) went live in February <strong>of</strong> 2004 and has routinely used by<br />

our barley breeding programs since.<br />

One <strong>of</strong> most difficult problems in interpretation <strong>of</strong> multi-location, multi-year data from agricultural<br />

experiments is separating <strong>the</strong> relative contributions <strong>of</strong> genetics (G), environment (E) and G x E<br />

interaction. This can be especially critical when comparing ‘un-balanced’ data sets from lines at<br />

different stages <strong>of</strong> trialing that have not been grown in <strong>the</strong> same number <strong>of</strong> station x years. One<br />

partial solution to such data sets is to adjust all observations relative to one or more check cultivars.<br />

Phenotypic data is stored in BARMS in standard units <strong>of</strong> measure (i.e. Yield in Bu/A, Plant height in<br />

cm) and can be queried in that standard format or in alternate units <strong>of</strong> measure (i.e. Yield in Kg / ha,<br />

plant height in inches). Data for all traits can also be retrieved on a 1-99 RP (Relative Phenotypic)<br />

scale where data is set relative to three known check cultivars. The six-row breeding program uses<br />

Morex, Robust and Legacy; <strong>the</strong> two-row breeding program uses Harrington, B1202 and Merit as <strong>the</strong><br />

three comparator checks. Data points where an experimental line appears in <strong>the</strong> same trial with all<br />

three <strong>of</strong> <strong>the</strong> respective checks will be used to calculate a line RP for that trait on a 1-99 scale. In this<br />

form environmental and G x E interactions are minimized and <strong>the</strong> RP value represents a best linear<br />

unbiased estimate <strong>of</strong> <strong>the</strong> true genotypic contribution. These RP scores can be used to evaluate lines<br />

from un-balanced data sets on a more equitable basis.<br />

We designed a SELECTION MODULE in BARMS that permits selections to be made using both<br />

independent culling with upper and lower limits on single trait values as well as index selection<br />

based on weighted sum <strong>of</strong> squares <strong>of</strong> deviation <strong>of</strong> multiple trait values from defined targets. It is<br />

believed that BARMS is <strong>the</strong> only s<strong>of</strong>tware program to permit simultaneous use <strong>of</strong> both selection<br />

protocols.<br />

We developed a CROSS COMPARISON MODULE that permits multi-trait evaluation <strong>of</strong> parental<br />

phenotypic data in all possible pair-wise combinations as a predictor <strong>of</strong> future overall success <strong>of</strong> <strong>the</strong><br />

resulting progeny <strong>of</strong> a cross.<br />

We automated our malt quality laboratory equipment to directly upload evaluation results into <strong>the</strong><br />

BARMS database. This has reduced <strong>the</strong> manual entry time and increased accuracy <strong>of</strong> <strong>the</strong> micromalting<br />

data coming from our laboratory.<br />

- 134 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Mapping and molecular marker development <strong>of</strong> seed dormancy in a barley<br />

population derived from ‘Samson’ barley<br />

J.L. Zantinge*, J.M. Nyachiro, S. Chisholm, J.H. Helm, P.E. Juskiw and D.F. Salmon<br />

Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, 5030-50 Street, Lacombe, AB T4L 1W8,<br />

Telephone: (403) 782-8692, Fax: (403) 782-5514 Web Site: http://www1.agric.gov.ab.ca/app21/rtw/selsubj.jsp<br />

Wet field conditions just prior to harvest can cause pre-harvest sprouting in barley (Hordeum vulgare<br />

L.) resulting in significant economic losses especially in barley genotypes with low seed dormancy.<br />

Conversely, malting barley varieties with too high dormancy levels can result in inconsistent<br />

germination, creating problems in <strong>the</strong> malt house. Seed dormancy is defined as when viable kernels<br />

fail to germinate under optimum conditions <strong>of</strong> moisture, oxygen, and temperature. Phenotypic<br />

selection for sprouting resistance is challenging because <strong>the</strong> dormancy trait is controlled by multiple<br />

genes and influenced by <strong>the</strong> environment. Developing molecular markers linked to dormancy would<br />

be one method <strong>of</strong> selecting for desirable levels <strong>of</strong> seed dormancy in barley. Our objective is to<br />

identify, map and develop potential molecular markers linked to genes affecting dormancy in<br />

‘Samson’ barley. Several recombinant inbred lines (RILs) were created by crossing ‘Samson’ derived<br />

lines, having high dormancy, with hulless barley varieties ‘Falcon’ and ‘Phoenix’. Dormancy levels<br />

were calculated using a weighted germination index (WGI) on <strong>the</strong> RIL population <strong>of</strong> 239 lines,<br />

originally derived from crossing ‘Phoenix’ and ‘Samson’. This phenotyped population is currently<br />

being analysed with SSR markers and AFLP analysis. As expected, initial results suggest multiple<br />

QTLs throughout <strong>the</strong> barley genome, with <strong>the</strong> most apparent marker linkages associated with seed<br />

dormancy occurring on chromosomes: 2H, 3H, 4H, 5H, and 6H.<br />

Key words: seed dormancy, marker development, Hordeum vulgare, barley<br />

- 135 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Genotypic variations in preharvest sprouting resistance and seed dormancy<br />

in barley<br />

Nyachiro* J.M., J.L. Zantinge, J.H. Helm, P.E. Juskiw and D.F. Salmon<br />

Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, 5030 – 50 St., Lacombe, AB T4L 1W8<br />

Web Site: http://www1.agric.gov.ab.ca/app21/rtw/selsubj.jsp<br />

*Corresponding author: joseph.nyachiro@gov.ab.ca<br />

Seed dormancy is a vital agronomic trait related to seed quality because it determines resistance to<br />

preharvest sprouting (PHS). The aim <strong>of</strong> this study was to evaluate if <strong>the</strong>re are any genotypic<br />

differences in spike sprouting and seed dormancy among advanced breeding lines (genotypes) <strong>of</strong><br />

barley and determine if <strong>the</strong>re is any association between spike sprouting and whole seed dormancy.<br />

Five separate tests comprised <strong>of</strong> 103 advanced breeding lines and registered barley varieties were<br />

seeded in <strong>the</strong> field in 2004 in 8-row plots <strong>of</strong> 1 x 2.5 m in three replicates arranged in a randomized<br />

complete block design. Three intact spikes, mainly from <strong>the</strong> primary tillers, were evaluated for<br />

resistance to sprouting resistance in a rain simulator at 18 o C. Sprouting was rated visually on a 1-5<br />

scale (1= no visible sprouting, 5= 100% sprouted) and ratings were converted to spike sprouting<br />

indices (SSI) that took into account <strong>the</strong> promptness <strong>of</strong> spike sprouting. The genotypes were<br />

designated as resistant (R) to sprouting if <strong>the</strong>y had a SSI range <strong>of</strong> 3.0 to 4.0; moderately resistant<br />

(MR) if 4.1 to 5.0; susceptible (S) if 5.1 to 6.0; and very susceptible (VS) if >6.0. Also whole seeds<br />

for each line were tested for seed dormancy based on a weighted germination index (WGI).<br />

Continuous variations were observed both in <strong>the</strong> SSI and WGI among genotypes. There were<br />

genotypic differences in tendency for spike sprouting ranging from 3.1 (R) to 7.3 (VS). For <strong>the</strong> SSI,<br />

<strong>the</strong> hulless barley varieties ranged from 3.5 to 5.9, <strong>the</strong> 2-rowed ranged from 4.7 to 6.5 and <strong>the</strong> 6rowed<br />

ranged from 3.8 to 6.5. There were wide variations in WGI ranging between 0 (no seed<br />

germination) and 1 (100% seed germination). For <strong>the</strong> WGI, <strong>the</strong> hulless barley varieties ranged from<br />

0.2 to 1, <strong>the</strong> 2-rowed ranged from 0.1 to 0.9 and <strong>the</strong> 6-rowed ranged from 0 to 0.8. The cultivars<br />

Vivar and Xena (feed barley) consistently appeared to have good resistance to spike sprouting. The<br />

correlation between <strong>the</strong> WGI and SSI (r = 0.37), although significant (P > 0.01), appear to be weak.<br />

- 136 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Using growing degree days to estimate maturity in small grain cereals<br />

Juskiw, P., Helm, J., Salmon, D., and Nyachiro, J.<br />

Field Crop Development Centre, 5030 50 th Street, Lacombe, AB, T4L 1W8<br />

For over thirty years, maturities <strong>of</strong> small grain cereals have been estimated at Field Crop<br />

Development Centre by using dry-down rates and moisture contents at harvest. Maturity is estimated<br />

to occur at 35% moisture content. Indicator plots <strong>of</strong> each crop type have been used each year at each<br />

plot site to determine a linear rate <strong>of</strong> dry-down based on Julian days. However ever year, <strong>the</strong>re can<br />

be problems in getting <strong>the</strong> indicator plots harvested during <strong>the</strong> linear phase <strong>of</strong> dry-down so we<br />

wanted to develop a estimate for dry-down that could be used over a wide range <strong>of</strong> environmental<br />

conditions. In previously reported work, standardized rates <strong>of</strong> dry-down using growing degree days<br />

(GDD=Σ[(Tmin+Tmax)/2] and growing season precipitation were developed for barley, spring and<br />

winter triticale, spring and winter wheat, and winter rye. In 2004, data were collected to determine<br />

<strong>the</strong> validity <strong>of</strong> our GDD-based rates <strong>of</strong> dry-down. We compared GDD-based maturities with<br />

maturities based on <strong>the</strong> indicator plot dry-down rates. For barley, our best correlation (r=0.80)<br />

between maturities using <strong>the</strong> two methods (n=5,181) was found when <strong>the</strong> dry-down rate included<br />

both GDD and growing season precipitation, however <strong>the</strong> closest fit based on similar range and mean<br />

maturities was found using a mean rate <strong>of</strong> dry-down based solely on GDD. The 2004 data confirmed<br />

over a wide range <strong>of</strong> environments, that using a standardized rate <strong>of</strong> dry-down based on GDD was<br />

valid. The 2004 data will be incorporated into updated GDD and GDD plus precipitation rates <strong>of</strong><br />

dry-down, and a final decision will be made on <strong>the</strong> method <strong>of</strong> determining maturities from 2005<br />

onwards.<br />

patricia.juskiw@gov.ab.ca<br />

Twelve years <strong>of</strong> barley-based rotations<br />

Juskiw, P., and Westling, D.<br />

Field Crop Development Centre, 5030 50 th Street, Lacombe, AB, T4L 1W8<br />

In 1988 a barley-based rotation was begun at Lacombe. There were eleven four-year rotations that<br />

were run for twelve years (three complete cycles). After <strong>the</strong>12 years, a uniformity trial was run<br />

planting all plots to Niska, six-row feed barley. Soil NO3N, PO4P, Na, K, and SO4S were measured<br />

in <strong>the</strong> fall <strong>of</strong> 1999, with <strong>the</strong> only significant rotation effect being found on soil nitrogen levels. When<br />

green manure followed three years <strong>of</strong> triticale N levels were <strong>the</strong> highest, but when green manure<br />

followed barley-canola-winter wheat levels were not significantly elevated. A year <strong>of</strong> fallow did not<br />

elevate nitrogen levels. Protein, acid detergent fiber, neutral detergent fiber, and relative feed value<br />

<strong>of</strong> <strong>the</strong> biomass harvest after an<strong>the</strong>sis (about <strong>the</strong> s<strong>of</strong>t-dough stage) were not affected by rotation.<br />

Highest post-an<strong>the</strong>sis (PA) biomass yields were found when <strong>the</strong> previous year had been fallow, green<br />

manure or alfalfa. The lowest PA yields were following barley (although barley <strong>the</strong> previous year<br />

was not <strong>the</strong> sole determinant <strong>of</strong> low yields as o<strong>the</strong>r rotations with barley <strong>the</strong> previous year had<br />

intermediate yields). Grain yields and test weights were not affected by rotation. However both<br />

kernel weights and percent plumps were positively influenced by barley-barley-canola-fallow, winter<br />

wheat-green-manure-barley-canola, and barley-barley-alfalfa-alfalfa rotations; while continuous<br />

barley and canola-winter wheat-peas-barley had negative effects on <strong>the</strong>se traits. Grain protein levels<br />

were highest following continuous barley, wheat-canola-barley-barley and triticale-triticale-triticalegreen<br />

manure; and lowest following triticale-barley-peas-barley and barley-winter rye-barley-canola.<br />

Rotations that led to high soil N levels did not always translate into high protein levels in <strong>the</strong> grain;<br />

and this combined with higher percent plump and kernel weights may mean we need to rethink our<br />

recommendation for malting barley production. Fur<strong>the</strong>r investigation is warranted.<br />

- 137 -<br />

Patricia.Juskiw@gov.ab.ca


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Development <strong>of</strong> winter hulless barley varieties as a high value crop<br />

W.S. Brooks*, C.A. Griffey and M.E. Vaughn<br />

Virginia Polytechnic Institute and State University, Blacksburg, VA<br />

Prior to <strong>the</strong> early 1990’s winter barley cultivars released and grown in <strong>the</strong> U. S. mid-Atlantic region<br />

were traditional hulled feed barley types. Traditional hulled barley has been grown for centuries in<br />

<strong>the</strong> mid-Atlantic region on many farms as feed for all classes <strong>of</strong> livestock. Demand for low-fiber,<br />

high-energy grains by <strong>the</strong> vertically integrated swine and poultry industries, and availability <strong>of</strong><br />

brewer’s distilled grains for beef and dairy industries have resulted in greatly reduced demand for<br />

traditional feed barley in recent years. In <strong>the</strong> mid 1990’s, <strong>the</strong> Virginia Tech Breeding Program<br />

realized that survival <strong>of</strong> winter barley as a viable crop was dependent on development <strong>of</strong><br />

commercially acceptable winter hulless barley cultivars having high value traits for specific end uses.<br />

During <strong>the</strong> past 10 years, <strong>the</strong> Virginia Tech barley breeding program has developed hulless lines that<br />

yield 314-1129 kg ha -1 higher than initial winter hulless lines developed. Many lines have improved<br />

straw strength and grain plumpness and have better resistance to prevalent diseases. Meanwhile,<br />

increased interest in <strong>the</strong> use <strong>of</strong> hulless barley varieties having high energy and digestibility in<br />

manufacturing food and fuel products, as well as feed, has accentuated our desire to develop winter<br />

hulless barley varieties having greater marketability in both domestic and foreign markets.<br />

Additionally, barley grain contains health-related compounds similar to those found in oats,<br />

<strong>the</strong>refore, adding to its appeal in <strong>the</strong> health-food sector. The use <strong>of</strong> barley in ethanol production may<br />

soon become a reality and would provide a viable market for hulless barley produced in <strong>the</strong> mid-<br />

Atlantic region. We also have collaborated with nutritionists and chemists to characterize and<br />

improve <strong>the</strong> nutritional and compositional quality <strong>of</strong> hulless barley via breeding for specific end uses.<br />

The breeding program’s first major achievement was <strong>the</strong> release <strong>of</strong> <strong>the</strong> winter hulless barley cultivar<br />

Doyce in 2003. In collaboration with <strong>the</strong> USDA-ARS Eastern Regional Research Center, data on<br />

chemical and nutritional composition, including protein, starch, lipid and beta glucan concentration,<br />

have been obtained on most barley lines in our replicated yield trials. To date, significant progress<br />

already has been made in <strong>the</strong> development <strong>of</strong> winter hulless barley lines. We have developed more<br />

than 3,000 winter hulless barley populations. This year (2005), we will advance over 350 hulless<br />

populations and evaluate 325 pure lines in yield tests and select pure lines among nearly 9,000<br />

hulless headrows. Over one hundred advanced winter hulless barley lines are being evaluated in four<br />

states (Maryland, Pennsylvania, Kentucky and Delaware). Doyce hulless barley being produced in<br />

2005 will be evaluated in pilot studies for its potential use in ethanol production and as an improved<br />

feed component in poultry rations.<br />

*Corresponding Author: Phone: 540 231-7624, Email: wybrooks@vt.edu<br />

- 138 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Multiple dominant and recessive marker stock development<br />

Robert I. Wolfe<br />

A set <strong>of</strong> genetic marker stocks for barley, Hordeum vulgare, have been developed. Dominant alleles<br />

<strong>of</strong> several genes are in one doubled haploid stock. A master recessive doubled haploid has matching<br />

recessive alleles.<br />

Dominant alleles in <strong>the</strong> master dominant stock with matching recessive alleles in <strong>the</strong> master<br />

recessive: Blp Vrs1 Pre2 Zeo1 Wst7 Btr Alm Pub Kap Hsh Srh Raw1 Rob Wax Nud Lks2.<br />

Several more multiple recessive stocks are available. A genetic male sterile is present in a recessive<br />

background, similar to <strong>the</strong> above master recessive, for each <strong>of</strong> <strong>the</strong> seven chromosomes. Also<br />

incorporated on <strong>the</strong> appropriate chromosomes are five surface wax mutants, five dwarfs, and a few<br />

o<strong>the</strong>r recessive alleles.<br />

Recessive alleles in <strong>the</strong> chromosomal stocks:<br />

1H msg1 cer-e ert-b nec1<br />

1H trd<br />

2H msg2 gsh6 eog lig<br />

3H msg5 uzu<br />

3H als<br />

4H msg24 glf1 lbi2 yhd(alm is not present in this stock)<br />

5H msg19 ert-g<br />

6H msg36 gsh4<br />

6H cul2 dsp9<br />

7H msg10 gsh3 brh1<br />

These barley stocks are moderately early maturing. They were grown and selected in western<br />

Canada, with alternate generations in growth chamber and greenhouse.<br />

Reference: 1996 Special Issue - <strong>Barley</strong> Genetic Newsletter. Vol. 26.<br />

The author is grateful to Mr. Les Shugar for producing <strong>the</strong> doubled haploid versions <strong>of</strong> <strong>the</strong> master<br />

dominant and recessive stocks.<br />

- 139 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Genetic male sterile and xenia assisted reciprocal recurrent selection<br />

Robert I. Wolfe<br />

Two pairs <strong>of</strong> barley populations were developed to illustrate <strong>the</strong> potential for genetic male sterile<br />

and xenia assisted reciprocal recurrent selection. They carry <strong>the</strong> following alleles:<br />

1a) msg1, Sex1, yellow aleurone, btr1, cer-e, vrs1, nud<br />

1b) msg2, sex1, blue aleurone, btr1, rob, vrs1, nud<br />

2a) msg1, Sex1, yellow aleurone, btr1, cer-e, Vrs1, nud<br />

2b) msg2, sex1, blue aleurone, btr1, rob, Vrs1, nud<br />

These barley lines are spring habit, and have been selected in central Alberta.<br />

The idea is to speed up selection for yield and agronomic performance by completing a full cycle <strong>of</strong><br />

reciprocal recurrent selection per year.<br />

Unfortunately, <strong>the</strong> blue aleurone has proven unsatisfactory for this purpose. Its genetics are too<br />

complex, and when blue aleuroned lines are crossed onto lines carrying <strong>the</strong> yellow aleurone, <strong>the</strong> blue<br />

aleurone does not consistently colour up <strong>the</strong> resulting seeds.<br />

If a practical working system is to be developed <strong>the</strong> blue aleurone should be replaced by a gene with<br />

two easily identifiable alleles having strong xenia penetrance. A possible candidate is Wax wax,<br />

perhaps with <strong>the</strong> closely linked gsh3 for use as a field identifier. Wax wax can be used in<br />

hulled barley, whereas aleurone colour could not. Identification <strong>of</strong> waxy versus starchy seed would<br />

be somewhat tedious, but doable. Normal versus yellow starch might also work if it could be<br />

inserted into barley as a single gene effect. The Sex1 sex1 gene is acceptable, along with rob as a<br />

field identifier.<br />

This noted, following is an explanation <strong>of</strong> <strong>the</strong> concept. There are two generations a year, a crossing<br />

generation and a yield test. Two spring barley populations are developed, ei<strong>the</strong>r two-row or six-, and<br />

pure for ei<strong>the</strong>r btr1 or btr2. They must carry a different genetic male sterile, such as msg1 and msg2.<br />

In <strong>the</strong> crossing generation, in a winter nursery, seeds from <strong>the</strong> two populations are inter-planted close<br />

enough to inter-pollinate and far enough apart to produce several tillers per plant. Each population is<br />

normally 50% sterile and 50% heterozygous for sterility. Only seed from <strong>the</strong> genetic male sterile<br />

plants is harvested. The seed from each plant is identified as inter- or intra-population seed.<br />

Inter-population seed is planted in a hill yield test in <strong>the</strong> area for which it is to be adapted, with<br />

several seeds per hill, each hill being from one plant. The conditions must mimic as closely as<br />

possible a farmer's field for selection to be useful. The parent plants from <strong>the</strong> winter nursery are<br />

ranked according to hill performance, and intra-population seed from <strong>the</strong> best ones sent south for <strong>the</strong><br />

next crossing nursery.<br />

New elite germplasm can be incorporated and added to each population.<br />

After a few cycles, F2 seed from <strong>the</strong> best yield test hills can be entered into <strong>the</strong> standard breeding<br />

system in use in <strong>the</strong> program.<br />

- 140 -


Session 4: Breeding, Agronomy, and Germplasm – Poster abstracts<br />

Isoyield analysis <strong>of</strong> barley cultivar trials in <strong>the</strong> <strong>Canadian</strong> Prairies<br />

Rong-Cai Yang 1,2* , Daniel Stanton 2,3 , Stanford F. Blade 4 , James Helm 5 and Dean Spaner 2<br />

1 Policy Secretariat, Alberta Agriculture, Food and Rural Development, Room 300, 7000 – 113 Street, Edmonton, AB, Canada<br />

T6H 5T6;<br />

2 Dept. <strong>of</strong> Agricultural, Food and Nutritional Science, University <strong>of</strong> Alberta, Edmonton, AB, Canada T6G 2P5;<br />

3 Pioneer Hi-Bred Ltd., 330 – 127 Street S.W., Edmonton AB, Canada T6W 1A3;<br />

4 International Institute <strong>of</strong> Tropical Agriculture, c/o Lambourn Ltd., Carolyn House, 26 Dingwall Road, Croydon CR9 3EE United<br />

Kingdom;<br />

5 Field Crop Development Centre, Alberta Agriculture, Food and Rural Development, Lacombe, AB, Canada T4L 1W8<br />

Classification <strong>of</strong> test sites for cultivar trials into groups with similar within-group site performance<br />

and response (isoyield groups) is an important step towards identification <strong>of</strong> appropriate cultivars that<br />

are best suitable for different productivity levels in farm fields. The objective <strong>of</strong> this presentation is<br />

to determine isoyield environments in <strong>the</strong> <strong>Canadian</strong> prairies based on <strong>the</strong> analysis <strong>of</strong> cultivar trials<br />

consolidated from individual provinces for barley (Hordeum vulgare L.). Yields for <strong>the</strong> analysis<br />

were taken from 324 replicated trials sown at 84 sites across <strong>the</strong> prairies during 1995 – 2003. The<br />

combined use <strong>of</strong> regression and cluster analyses <strong>of</strong> <strong>the</strong> data normalized for averaging <strong>the</strong> multi-year<br />

unbalanced data led to a stratification <strong>of</strong> <strong>the</strong> 84 sites into 13 isoyield groups. A comparison was<br />

made <strong>of</strong> <strong>the</strong> distributions <strong>of</strong> <strong>the</strong> variability among and within groups according to three modes <strong>of</strong><br />

grouping: isoyield groups, soil zones and agroecoregions. There was more variability among isoyield<br />

groups and correspondingly less within <strong>the</strong> groups than that among and within soil zones and<br />

agroecoreions. Similar contrasting pattern existed for <strong>the</strong> variance components involving genotypeenvironment<br />

interaction (GEI) though <strong>the</strong> GEI variability was generally small under all three modes<br />

<strong>of</strong> grouping. Relationships <strong>of</strong> site sensitivity (regression coefficient) and stability (coefficient <strong>of</strong><br />

determination) with site productivity were shown to be a useful aid for selecting a subset <strong>of</strong> test sites<br />

in an effort to improve efficiency and quality <strong>of</strong> future cultivar testing. Thus, <strong>the</strong> isoyield analysis<br />

should be a valuable tool for a meaningful subsetting <strong>of</strong> heterogeneous environments and for a<br />

reduced GEI impact in cultivar testing and recommendation.<br />

*email: rongcai.yang@gov.ab.ca<br />

- 141 -


Chair<br />

Jennifer Zantinge<br />

Session 5: Biotechnology and Genomics<br />

Wednesday, July 20, 2005 – a.m.<br />

Session 5: BIOTECHNOLOGY AND GENOMICS<br />

Presenters<br />

Gary Muehlbauer, University <strong>of</strong> Minnesota<br />

Peter Eckstein, University <strong>of</strong> Saskatchewan<br />

Nora Lapitan, Colorado State University<br />

Tajinder Grewal, University <strong>of</strong> Saskatchewan<br />

Kavitha Madishetty, University <strong>of</strong> California Riverside<br />

Andris Kleinh<strong>of</strong>s, Washington State University<br />

- 142 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Applications <strong>of</strong> GeneChips for barley improvement<br />

Gary J. Muehlbauer 1 , David F. Garvin 2 , Kevin Smith 1 , Jayanand Boddu 1 and Seungho Cho 1<br />

1 Department <strong>of</strong> Agronomy and Plant Genetics, University <strong>of</strong> Minnesota, St. Paul, MN 55108;<br />

2 Plant Science Research Unit, United States Department <strong>of</strong> Agriculture-Agricultural Research Service, St. Paul, MN 55108<br />

Abstract<br />

The use <strong>of</strong> RNA pr<strong>of</strong>iling has recently become a powerful tool to examine genome-wide<br />

transcript accumulation. The commercial release <strong>of</strong> <strong>the</strong> <strong>Barley</strong>1 Affymetrix GeneChip probe<br />

array has provided <strong>the</strong> resource to conduct RNA pr<strong>of</strong>iling <strong>of</strong> 22,439 barley genes in a single<br />

experiment. We have focused primarily on using <strong>the</strong> <strong>Barley</strong>1 GeneChip to (1) physically map<br />

barley genes to chromosomes; (2) to examine <strong>the</strong> RNA pr<strong>of</strong>iles in barley infected with Fusarium<br />

graminearum, and (3) as a pro<strong>of</strong> <strong>of</strong> concept for targeting markers to genomic regions. In this<br />

article, we will describe <strong>the</strong>se applications <strong>of</strong> <strong>the</strong> <strong>Barley</strong>1 GeneChip and discuss some <strong>of</strong> our<br />

results.<br />

Introduction<br />

High-throughput RNA pr<strong>of</strong>iling technologies are useful tools for examining <strong>the</strong> expression <strong>of</strong><br />

thousands <strong>of</strong> genes in parallel. Traditionally, gene expression studies have relied on methods<br />

and technologies that examine one to a few transcripts at a time. Thus, RNA pr<strong>of</strong>iling<br />

technology provides a substantial increase in <strong>the</strong> number <strong>of</strong> transcripts compared to more<br />

classical methods. In 2003, <strong>the</strong> barley1 Affymetrix GeneChip probe array was fabricated and<br />

provided a new resource for barley geneticists to conduct high throughput RNA pr<strong>of</strong>iling<br />

experiments in barley (Close et al., 2004). This article summarizes <strong>the</strong> development <strong>of</strong> <strong>the</strong><br />

barley1 GeneChip, and applications to barley research and improvement.<br />

The barley1 GeneChip<br />

A USDA-IFAFS grant to a group <strong>of</strong> U.S. barley geneticists (Andris Kleinh<strong>of</strong>s, Timothy Close,<br />

Roger Wise, Rod Wing and Gary Muehlbauer) provided <strong>the</strong> funding to develop RNA pr<strong>of</strong>iling<br />

technology in barley. The genomics company Affymetrix (Santa Clara, CA), which specializes<br />

in <strong>the</strong> development <strong>of</strong> GeneChip probe arrays, was chosen to develop this resource for <strong>the</strong> barley<br />

research community. The design <strong>of</strong> <strong>the</strong> <strong>Barley</strong>1 GeneChip probe array was based on<br />

approximately 350,000 barley expressed sequence tags (ESTs) developed through an effort <strong>of</strong><br />

barley geneticists in <strong>the</strong> U.S. (R. Wing, A. Kleinh<strong>of</strong>s, R. Wise, and T. Close), Scotland (R.<br />

Waugh), Japan (K. Sato), Finland (A. Schulman) and Germany (A. Graner). These barley gene<br />

sequences were condensed into an exemplary set <strong>of</strong> sequences for <strong>the</strong> GeneChip design. The<br />

finished product was <strong>the</strong> <strong>Barley</strong>1 GeneChip probe array, which represents 22,439 barley genes<br />

and thus provides <strong>the</strong> resource to examine transcript accumulation <strong>of</strong> all <strong>of</strong> <strong>the</strong>se genes in<br />

parallel (Close et al., 2004).<br />

The 22,439 genes are represented on <strong>the</strong> <strong>Barley</strong>1 GeneChip in <strong>the</strong> form <strong>of</strong> 22,439 probe sets.<br />

These probe sets are comprised <strong>of</strong> 11 matched and mismatched pairs <strong>of</strong> 25-mer oligonucleotides.<br />

Most <strong>of</strong> <strong>the</strong> oligonucleotides were designed from <strong>the</strong> 3’ end <strong>of</strong> each exemplar sequence (Close et<br />

al., 2004). Hybridization <strong>of</strong> labeled RNA to each probe set is determined and raw numerical<br />

- 143 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

values representing <strong>the</strong> amount <strong>of</strong> transcript accumulation are obtained. These values can be<br />

examined with a variety <strong>of</strong> computer programs and statistical packages to address specific<br />

questions relating to transcript accumulation.<br />

Each GeneChip experiment results in a tremendous amount <strong>of</strong> data. To house <strong>the</strong>se data, to<br />

conduct data analysis, and to provide a resource for future comparative analysis <strong>the</strong> MIAME<br />

(minimum information about a microarray experiment) compliant <strong>Barley</strong>Base<br />

(http://barleybase.org/; Shen et al., 2005) database has been established. <strong>Barley</strong>Base is an online<br />

public repository for raw and normalized expression data for Affymetrix GeneChip data.<br />

Currently, data from multiple <strong>Barley</strong>1 GeneChip experiments are housed on this site.<br />

Uses <strong>of</strong> microarray technology<br />

There are multiple uses <strong>of</strong> microarray technology including: (1) examining <strong>the</strong> response to<br />

abiotic and biotic stresses; (2) high-throughput gene mapping; (3) determining gene expression<br />

patterns associated with malting; (4) identifying tissue-specific gene expression; (5) determining<br />

gene expression differences in defined mutant backgrounds; (6) gene cloning; and (7) targeting<br />

markers to genomic regions. In this article, we will discuss our work with <strong>the</strong> <strong>Barley</strong>1 GeneChip<br />

to (1) physically map barley genes to chromosomes; (2) to examine <strong>the</strong> RNA pr<strong>of</strong>iles in barley<br />

infected with Fusarium graminearum, and (3) as a pro<strong>of</strong> <strong>of</strong> concept for targeting markers to<br />

genomic regions.<br />

Results And Discussion<br />

High-throughput physical mapping<br />

We developed an approach to utilize <strong>the</strong> <strong>Barley</strong>1 GeneChip to physically map large numbers <strong>of</strong><br />

barley genes to chromosomes. We are using <strong>the</strong> wheat-barley addition lines to assign barley<br />

genes to chromosomes. These disomic chromosome addition lines were developed through wide<br />

hybridization between <strong>the</strong> donor Betzes barley (Hordeum vulgare L.) and <strong>the</strong> recipient Chinese<br />

Spring wheat (Triticum aestivum) (Islam et al., 1981). These genetic stocks contain all 21 wheat<br />

chromosome pairs and a single chromosome pair from barley. Wheat-barley disomic addition<br />

lines have been developed for six <strong>of</strong> <strong>the</strong> seven barley chromosomes including 1(7H), 2(2H),<br />

3(3H), 4(4H), 6(6H) and 7(5H), and ditelosomic addition lines harboring 13 <strong>of</strong> <strong>the</strong> 14 barley<br />

chromosome arms have been generated (Islam et al., 1981). Our objectives were to use <strong>the</strong><br />

wheat-barley addition lines in combination with <strong>the</strong> <strong>Barley</strong>1 GeneChip to assign barley genes to<br />

chromosomes. The basic idea is as follows: transcripts detected in Betzes and <strong>the</strong> addition lines,<br />

but low or no detection in Chinese Spring were derived from Betzes and <strong>the</strong> barley gene<br />

encoding <strong>the</strong> transcript was assigned to a specific donor barley chromosome.<br />

We examined transcript accumulation in seedling tissues <strong>of</strong> Betzes barley, Chinese Spring wheat<br />

and wheat-barley chromosome addition lines carrying barley chromosome 2H, 3H, 4H, 5H, 6H,<br />

or 7H. By examining only those transcripts that were detected in Betzes and one or more <strong>of</strong> <strong>the</strong><br />

addition lines, we identified 482, 331, 352, 392, 246 and 421 transcripts in <strong>the</strong> addition lines<br />

carrying barley chromosome 2H, 3H, 4H, 5H, 6H and 7H, respectively. Based on <strong>the</strong>se results,<br />

we assigned 2,224 genes to barley chromosomes. Our results were validated through extensive<br />

genomic PCR and by in silico comparisons to <strong>the</strong> wheat and rice genomes. We found that our<br />

physical map positions were highly syntenic with <strong>the</strong> wheat and rice genomes and that our<br />

- 144 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

genomic PCR results were consistent with our GeneChip interpretations. We also examined<br />

transcript accumulation in ditelosomic addition lines carrying <strong>the</strong> long and short arm <strong>of</strong><br />

chromosome 6H and assigned 139 and 105 genes to chromosome 6HL and 6HS, respectively.<br />

The chromosome 6H ditelosomic addition line results validated <strong>the</strong> location <strong>of</strong> 244 out <strong>of</strong> <strong>the</strong><br />

246 genes assigned to chromosome 6H. Therefore, we have substantially increased <strong>the</strong> number<br />

<strong>of</strong> genetic markers for use in marker-assisted selection, map-based cloning and for scaffolds for<br />

full-genome sequencing. Our results show that this is an efficient method to physically map<br />

barley genes to chromosomes.<br />

Fusarium head blight <strong>of</strong> barley<br />

Fusarium head blight (FHB) <strong>of</strong> barley is caused by F. graminearum and related Fusarium<br />

species. FHB is a major disease problem for barley growers in <strong>the</strong> United States and in <strong>the</strong><br />

barley growing regions <strong>of</strong> <strong>the</strong> world (Parry et al., 1995). Tricho<strong>the</strong>cenes mycotoxins, such as<br />

deoxynivalenol (DON) are produced by <strong>the</strong> fungus during infection and accumulate in <strong>the</strong><br />

harvested grain grain. <strong>Barley</strong> grain containing measurable levels <strong>of</strong> DON results in reduced<br />

malting quality. Therefore, our goals are to understand <strong>the</strong> interaction between barley and F.<br />

graminearum with <strong>the</strong> intent to identify genes that provide resistance to FHB. Our approach is<br />

to use <strong>the</strong> <strong>Barley</strong>1 GeneChip to gain an understanding <strong>of</strong> <strong>the</strong> interaction between barley and F.<br />

graminearum during infection and to use <strong>the</strong> gene expression data to direct marker development<br />

for FHB resistant QTL-containing regions <strong>of</strong> <strong>the</strong> genome.<br />

Transcript accumulation in Morex during Fusarium graminearum infection<br />

Four replications <strong>of</strong> spikes from <strong>the</strong> FHB susceptible barley cultivar Morex at 1, 2, 3, 4, and 6<br />

days after F. graminearum and water inoculation and a fifth replication at 1 and 3 days after F.<br />

graminearum and water inoculation were sampled for RNA isolation. RNA pr<strong>of</strong>iles were<br />

examined at <strong>the</strong>se treatment/timepoints using <strong>the</strong> <strong>Barley</strong>1 GeneChip. Three hundred and fifty<br />

seven transcripts were differentially expressed between F. graminearum-and mock (water)<br />

inoculated barley spikes at one or more time points. The differentially accumulating transcripts<br />

were placed into two subgroups. One subgroup <strong>of</strong> 182 transcripts was identified based on <strong>the</strong><br />

presence versus absence test <strong>of</strong> transcripts between F. graminearum and mock-inoculated spikes<br />

and referred to as qualititatively-induced during infection. The o<strong>the</strong>r subgroup <strong>of</strong> 175 transcripts<br />

was identified as significantly induced between F. graminearum- and mock-inoculated barley<br />

spikes and referred to as quantitatively-induced during infection. The transcript accumulation<br />

from all detected genes was greater in <strong>the</strong> F. graminearum-treated plants, <strong>the</strong>re were no<br />

transcripts that were down regulated in this experiment. These transcript accumulation patterns<br />

were validated via RNA gel blot analysis<br />

Examination <strong>of</strong> <strong>the</strong> transcript accumulation pr<strong>of</strong>iles resulted in <strong>the</strong> following three major<br />

observations. (1) There are three major stages <strong>of</strong> disease progression: an early stage between 0-2<br />

days after inoculation (dai), an intermediate stage between 2-4 dai; and a late stage between 4-6<br />

dai. (2) Most <strong>of</strong> <strong>the</strong> induced genes were identified at 3 dai during <strong>the</strong> intermediate stage,<br />

indicating that this is an important host response timepoint. (3) We observed upregulation <strong>of</strong> <strong>the</strong><br />

tryptophan biosyn<strong>the</strong>tic pathway. This observation demonstrates a specific biochemical host<br />

response to infection. These observations provide <strong>the</strong> <strong>the</strong>oretical basis for a better understanding<br />

<strong>of</strong> <strong>the</strong> plant response to infection.<br />

- 145 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Transcript accumulation in contrasting alleles at <strong>the</strong> Chromosome 3H DON accumulation QTL<br />

To identify potential genes that are involved with FHB resistance and markers that are linked to a<br />

DON accumulation resistant QTL, we examined transcript accumulation in a barley nearisogenic<br />

line (NIL) pair carrying resistant and susceptible alleles at <strong>the</strong> DON resistant<br />

chromosome 3H (BIN 6) QTL. The DON resistant QTL was identified in <strong>the</strong><br />

Fredrickson/Stander recombinant inbred line population (Smith et al., 2004). An NIL pair<br />

carrying resistant and susceptible alleles at <strong>the</strong> chromosome 3 DON QTL was provided by Kevin<br />

Smith (University <strong>of</strong> Minnesota).<br />

We used <strong>the</strong> <strong>Barley</strong>1 GeneChip to examine transcript accumulation in plants carrying <strong>the</strong><br />

resistant and susceptible alleles at <strong>the</strong> chromosome 3H DON QTL at 48 and 96 hours after<br />

inoculation. We identified seven genes that are differentially expressed in <strong>the</strong> lines containing<br />

<strong>the</strong> differing alleles at <strong>the</strong> barley chromosome 3H QTL. These transcript accumulation<br />

differences were due solely to genotype not <strong>the</strong> treatment. No genes were identified that<br />

exhibited differential transcript accumulation between <strong>the</strong> contrasting alleles due to F.<br />

graminearum infection.<br />

Based on <strong>the</strong> allelic differences in <strong>the</strong> NIL pairs carrying <strong>the</strong> resistant and susceptible alleles,<br />

some <strong>of</strong> <strong>the</strong> 7 differentially expressed genes may map to <strong>the</strong> chromosome 3H QTL region. We<br />

mapped two <strong>of</strong> <strong>the</strong> seven genes on <strong>the</strong> Fredrickson/Stander mapping population in <strong>the</strong><br />

chromosome 3H DON accumulation QTL region. Our results show that <strong>the</strong> <strong>Barley</strong>1 GeneChip<br />

can be used to identify allelic differences that can be converted into genetic markers that target<br />

specific regions <strong>of</strong> <strong>the</strong> genome.<br />

Impact <strong>of</strong> tricho<strong>the</strong>cene accumulation on barley gene expression<br />

F. graminearum infection <strong>of</strong> barley results in <strong>the</strong> fungus syn<strong>the</strong>sizing tricho<strong>the</strong>cene mycotoxins.<br />

These mycotoxins are a major detriment to grain quality, especially for grain intended for use as<br />

malt. In wheat, <strong>the</strong> ability <strong>of</strong> F. graminearum to syn<strong>the</strong>size tricho<strong>the</strong>cenes increases <strong>the</strong><br />

virulence <strong>of</strong> <strong>the</strong> fungus (Proctor et al., 1995). Loss-<strong>of</strong>-function mutations in <strong>the</strong> Tri5 gene, <strong>the</strong><br />

first committed step in <strong>the</strong> tricho<strong>the</strong>cene biosyn<strong>the</strong>tic pathway, results in <strong>the</strong> inability <strong>of</strong> <strong>the</strong><br />

fungus to syn<strong>the</strong>size tricho<strong>the</strong>cenes and a reduction <strong>of</strong> virulence on wheat. To determine <strong>the</strong><br />

host response to tricho<strong>the</strong>cene accumulation in barley, we examined <strong>the</strong> transcript accumulation<br />

pr<strong>of</strong>iles in Morex barley inoculated with a wildtype strain <strong>of</strong> F. graminearum, <strong>the</strong> Tri5 mutant<br />

and water at 48 and 96 hours after inoculation.<br />

Examination <strong>of</strong> <strong>the</strong> transcript accumulation data revealed three classes <strong>of</strong> genes that respond<br />

differentially to tricho<strong>the</strong>cene biosyn<strong>the</strong>sis. We identified 37 genes that were only expressed in<br />

barley during Tri5 mutant infection (no tricho<strong>the</strong>cene accumulation), and 96 genes that were<br />

only expressed during wildtype infection (tricho<strong>the</strong>cene accumulation). We also identified 27<br />

genes that are statistically significantly upregulated in wildtype-infected plants versus Tri5<br />

mutant infected plants. These results show that <strong>the</strong>re are genes that are specifically upregulated<br />

and downregulated during tricho<strong>the</strong>cene accumulation. Fur<strong>the</strong>r analysis and annotation <strong>of</strong> <strong>the</strong><br />

genes is ongoing.<br />

- 146 -


Acknowledgements<br />

Session 5: Biotechnology and Genomics – Oral presentations<br />

Support for this research was from grants to GJM and DFG from U.S. <strong>Barley</strong> Genome Project,<br />

and grants to GJM from <strong>the</strong> U.S. Wheat and <strong>Barley</strong> Scab Initiative and <strong>the</strong> USDA-IFAFS.<br />

"This material is based upon work supported by <strong>the</strong> U.S. Department <strong>of</strong> Agriculture, under<br />

Agreement No. (PI should enter <strong>the</strong> applicable agreement number here). This is a cooperative<br />

project with <strong>the</strong> U.S. Wheat & <strong>Barley</strong> Scab Initiative." All such materials must also contain <strong>the</strong><br />

following disclaimer unless <strong>the</strong> publication is formally cleared by USDA: "Any opinions,<br />

findings, conclusions, or recommendations expressed in this publication are those <strong>of</strong> <strong>the</strong><br />

author(s) and do not necessarily reflect <strong>the</strong> view <strong>of</strong> <strong>the</strong> U.S. Department <strong>of</strong> Agriculture."<br />

References<br />

Close, T. J., S.I. Wanamaker, R.A. Caldo, S.M. Turner, D.A. Ashlock, J.A. Dickerson, R.A.<br />

Wing, G.J. Muehlbauer, A. Kleinh<strong>of</strong>s and R.P. Wise. 2004. A new resource for cereal<br />

genomics: 22K barley GeneChip comes <strong>of</strong> age. Plant Physiol. 134: 960-968.<br />

Islam, A. K. M. R., K. W. Shepherd, and D. H. B. Sparrow. 1981. Isolation and characterization<br />

<strong>of</strong> euplasmic wheat-barley chromosome addition lines. Heredity 46: 16 l-174.<br />

Parry, W.D., P. Jenkinson, and L. McLeod. 1995. Fusarium ear blight 9scab) in small grain<br />

cereals – a review. Plant Pathol. 44:207-238.<br />

Proctor, R.H., T.M. Hohn, S.P. McCormick. 1995. Reduced virulence <strong>of</strong> Gibberella zeae<br />

caused by disruption <strong>of</strong> a tricho<strong>the</strong>cene toxin biosyn<strong>the</strong>tic gene. Mol. Plant-Microbe<br />

Interact. 8: 593-601.<br />

Shen, L., J. Gong, R.A. Caldo, D. Nettleton, D. Cook, R.P. Wise and J.A. Dickerson. 2005.<br />

<strong>Barley</strong>Base—an expression pr<strong>of</strong>iling database for plant genomics. Nucl. Acids Res. 33<br />

(Database issue): D614-D618.<br />

Smith, K.P., C.K. Evans, R. Dill-Macky, C. Gustus, W. Xie and Y. Dong. 2004. Host genetic<br />

effect on deoxynivalenol accumulation in Fusarium head blight <strong>of</strong> barley. Phytopath. 94:766-<br />

771.<br />

- 147 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Molecular characterization <strong>of</strong> barley for variety description and identification<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles<br />

Department <strong>of</strong> Plant Sciences/Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, CANADA S7N 5A8<br />

In Canada, <strong>the</strong> protection <strong>of</strong> a barley variety under Plant Breeders Rights requires <strong>the</strong> candidate<br />

variety be shown to be distinct, uniform and stable (DUS). To demonstrate that a variety meets<br />

<strong>the</strong>se requirements, <strong>the</strong> variety is described by a series <strong>of</strong> morphological/botanical<br />

characteristics. The combination <strong>of</strong> phenotypic characteristics unique to a variety becomes <strong>the</strong><br />

legal basis to assess its distinctiveness, uniformity and stability. The limitations to <strong>the</strong> current<br />

system are many. Phenotypic descriptions need to be determined by experienced personnel at<br />

varying times throughout <strong>the</strong> season, and need to be duplicated over at least two field seasons.<br />

The process is <strong>of</strong>ten long and expensive. Since descriptions are comparative in nature (to two or<br />

three reference varieties chosen by <strong>the</strong> Plant Breeder) <strong>the</strong> descriptions are <strong>of</strong>ten subject to<br />

interpretation and may be described differently in subsequent evaluations. If variety identity is<br />

challenged, <strong>the</strong> material needs to be grown ei<strong>the</strong>r in <strong>the</strong> field or a growth facility along with <strong>the</strong><br />

reference varieties included at registration, and <strong>the</strong> characteristics may appear different when<br />

grown under different conditions.<br />

Since <strong>the</strong> advent <strong>of</strong> DNA fingerprinting technology, <strong>the</strong> opportunity exists to replace <strong>the</strong> current<br />

phenotypic description <strong>of</strong> a plant variety with molecular characterization. Several technologies<br />

exist that could be serve <strong>the</strong> purpose, all with inherent advantages and disadvantages. The<br />

advantages <strong>of</strong> all <strong>of</strong> <strong>the</strong>se technologies however are <strong>the</strong> non-subjective nature <strong>of</strong> <strong>the</strong> descriptive<br />

data, and <strong>the</strong> stability <strong>of</strong> molecular data.<br />

To demonstrate that molecular characterization can be used to describe a new variety, a project<br />

on 23 hulless barley varieties was begun. Hulless barley was chosen as <strong>the</strong> “model” because <strong>of</strong><br />

<strong>the</strong> simple genetics <strong>of</strong> this crop species, <strong>the</strong> relatively small number <strong>of</strong> varieties in this class<br />

registered in Canada, and Breeder Seed <strong>of</strong> all varieties was readily available. The project<br />

investigates <strong>the</strong> ability <strong>of</strong> AFLP technology to establish distinctiveness and uniformity <strong>of</strong><br />

molecular data within a variety. AFLP analysis as chosen as a model because it allows for <strong>the</strong><br />

generation <strong>of</strong> many bands (examines numerous loci) at one time providing an overall “picture”<br />

<strong>of</strong> <strong>the</strong> variety.<br />

Materials and Methods<br />

DNA was extracted from 4-5 seeds from Breeder Seed <strong>of</strong> each variety using a CTAB based<br />

protocol (Procunier et al., 1991). AFLP DNA fingerprinting was performed according to <strong>the</strong><br />

standard protocol <strong>of</strong> Vos et al. (1995), on 500ng <strong>of</strong> genomic DNA. DNA templates were<br />

prepared using EcoRI and MseI restriction enzymes, and amplified with primers having three<br />

selective bases. Amplified fragments were separated on 6% denaturing polyacrylamide gels (50<br />

cm length) and visualized by staining with silver nitrate.<br />

- 148 -


Results and Discussion<br />

Session 5: Biotechnology and Genomics – Oral presentations<br />

Twenty-three hulless barley varieties are currently registered in Canada and originate from five<br />

institutions (see below).<br />

Variety Institution<br />

AC Bacon Agricuture and Agri-Food Canada, Brandon, Manitoba<br />

AC Hawkeye Agricuture and Agri-Food Canada, Brandon, Manitoba<br />

CDC Silky Crop Development Centre, Saskatoon, Saskatchewan<br />

Falcon Field Crop Development Centre, Lacombe, Alberta<br />

Jaeger Field Crop Development Centre, Lacombe, Alberta<br />

Peregrine Field Crop Development Centre, Lacombe, Alberta<br />

Tyto Field Crop Development Centre, Lacombe, Alberta<br />

AC Alberte AAFC, ECORC, Ottawa, Ontario<br />

CDC Dawn Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Freedom Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Gainer Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC McGwire Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Speedy Crop Development Centre, Saskatoon, Saskatchewan<br />

Condor Field Crop Development Centre, Lacombe, Alberta<br />

Merlin Western Plant Breeders, Bozeman, Montana<br />

Phoenix Field Crop Development Centre, Lacombe, Alberta<br />

Tercel Field Crop Development Centre, Lacombe, Alberta<br />

CDC Alamo Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Candle Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Fibar Crop Development Centre, Saskatoon, Saskatchewan<br />

CDC Rattan Crop Development Centre, Saskatoon, Saskatchewan<br />

HB803 Western Plant Breeders, Bozeman, Montana<br />

HB805 Western Plant Breeders, Bozeman, Montana<br />

AFLP analysis was performed using three selective primer combinations. On average, each<br />

combination amplified 50 to 60 bands per sample. Since gels were silver stained, some <strong>of</strong> <strong>the</strong><br />

bands were likely complementary strands <strong>of</strong> <strong>the</strong> same fragment, <strong>the</strong>refore <strong>the</strong> number <strong>of</strong> loci<br />

actually tested is less than this number. Of <strong>the</strong> three randomly chosen selective primer<br />

combinations tested, each combination alone was able to amplify a set <strong>of</strong> fragments and generate<br />

enough polymorphism to distinguish <strong>the</strong> 23 varieties. Thirteen bands were required to uniquely<br />

characterize <strong>the</strong> varieties using primer combination E35-M49 (Figure 1), nine bands and 12<br />

bands were required for primer combinations E38-M61 and E37-M62 respectively. These sets <strong>of</strong><br />

bands constitute <strong>the</strong> “discriminatory set” for that primer combination. In all cases, <strong>the</strong> bands<br />

included in <strong>the</strong> “discriminatory set” were major bands that amplified strongly and consistently<br />

from amplification to amplification and gel to gel. Minor bands, which are especially prevalent<br />

with silver staining, and are inconsistent from one amplification to <strong>the</strong> next, were not considered.<br />

In all three test cases, additional polymorphic bands were available but not required. These<br />

bands may be included in <strong>the</strong> “discriminatory set” as required when new varieties are put<br />

forward. Conversely bands presently used in <strong>the</strong> set may be removed as <strong>the</strong> polymorphic bands<br />

are read in different combinations and varieties are de-registered.<br />

- 149 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

1 2<br />

3<br />

4 5 6<br />

7 89<br />

*<br />

10<br />

11<br />

Figure 1. AFLP generated banding patterns using primers E35-M49 on DNA templates from<br />

23 hulless barley varieties. The circled numbers indicate <strong>the</strong> bands required to distinguish all<br />

23 varieties. Bands marked with an asterisk identify additional polymorphism.<br />

The accurate identification <strong>of</strong> varieties by a series <strong>of</strong> bands requires that a variety is uniform for<br />

a given banding pattern. Most barley varieties are purified for phenotype based on evaluation <strong>of</strong><br />

a number <strong>of</strong> individual rows <strong>of</strong> plants (approximately 200), <strong>the</strong> seed for each row originating<br />

from a single spike. While <strong>the</strong> resulting Breeder Seed is essentially homogeneous for visual<br />

phenotypic characteristics, DNA fingerprinting has <strong>the</strong> ability to detect heterogeneity that cannot<br />

- 150 -<br />

*<br />

*<br />

12<br />

*<br />

13<br />

*<br />

*


Session 5: Biotechnology and Genomics – Oral presentations<br />

be identified visually. Many varieties <strong>the</strong>refore may not be uniform for <strong>the</strong>ir DNA banding<br />

patterns. We examined intra-varietal uniformity in <strong>the</strong> candidate variety CDC Cowboy. Of <strong>the</strong><br />

200 Breeder Seed long rows tested, banding uniformity was high, with little variation in overall<br />

banding pattern and no variation amongst major bands. The small amount <strong>of</strong> variation detected<br />

among relatively minor bands could be accommodated by disregarding <strong>the</strong>se bands and not<br />

including <strong>the</strong>m in <strong>the</strong> discriminatory set for this variety.<br />

For future candidates, <strong>the</strong> variety could be purified for a given molecular characterization at <strong>the</strong><br />

time <strong>of</strong> Breeders Seed production. This principle was demonstrated in <strong>the</strong> candidate oat variety<br />

CDC Weaver. Two hundred long rows were assessed using AFLP primer combination E37-M62<br />

which is able to efficiently discriminate between several oat varieties. Our analysis revealed that<br />

12 rows showed variation at one or more <strong>of</strong> nine polymorphic loci, all major bands that could be<br />

used to constitute <strong>the</strong> discriminatory set for oat. The seed <strong>of</strong> <strong>the</strong>se 12 rows was discarded and is<br />

not represented in <strong>the</strong> Breeder Seed. Of <strong>the</strong> 12 molecular discards, five rows varied at multiple<br />

loci, and were part <strong>of</strong> six molecular discards that would also have been discarded based on visual<br />

phenotype. In addition, one locus (major band) was segregating (nearly 50:50) amongst <strong>the</strong><br />

rows. The even segregation <strong>of</strong> this band amongst <strong>the</strong> long rows necessitated that <strong>the</strong> banding<br />

pattern could not be purified for this locus without possibly changing <strong>the</strong> character <strong>of</strong> <strong>the</strong><br />

candidate variety. This band <strong>the</strong>refore could not be included in <strong>the</strong> discriminatory set for this<br />

variety.<br />

Applying <strong>the</strong> same principle to CDC Cowboy, five rows should have been discarded on <strong>the</strong> basis<br />

<strong>of</strong> banding pattern and one <strong>of</strong> <strong>the</strong>se rows was one <strong>of</strong> seven rows eliminated from <strong>the</strong> Breeder<br />

Seed based on phenotype. The small number <strong>of</strong> discards necessitated by banding pattern<br />

variation is unlikely to change <strong>the</strong> overall agronomic or quality pr<strong>of</strong>ile <strong>of</strong> <strong>the</strong> variety.<br />

While we have been able to demonstrate that AFLP technology is able to establish varietal<br />

distinctness and uniformity in barley (and hexaploid oat with a more complicated genome),<br />

several o<strong>the</strong>r genotyping technologies could be used. Those best suited are likely to be<br />

microsattelite (SSR) and single nucleotide polymorphism (SNP) analysis. The ability <strong>of</strong> all <strong>of</strong><br />

<strong>the</strong> technologies to establish distinctness among large groups <strong>of</strong> cultivars, and uniformity in<br />

previously registered varieties needs to be considered. In addition, stability <strong>of</strong> <strong>the</strong> banding<br />

patterns, where variation in banding pattern may be due to seed purity issues, mutations over<br />

time, or errors intrinsic to <strong>the</strong> fingerprinting technology itself will need to be addressed.<br />

None<strong>the</strong>less, DNA based identification systems can easily meet <strong>the</strong> standards set by <strong>the</strong> current<br />

system and merit fur<strong>the</strong>r investigation.<br />

Acknowledgements<br />

This research is funded in part by <strong>the</strong> Western Grain Research Foundation (WGRF) and <strong>the</strong><br />

<strong>Canadian</strong> Seed Growers Association (CSGA). We thank <strong>the</strong> barley breeders from various<br />

organizations for providing us with Breeder Seed samples <strong>of</strong> <strong>the</strong>ir respective varieties.<br />

References<br />

Procunier, J.O., Jie, X., and K.L. Kasha. 1991. <strong>Barley</strong> Genet. Newsl., 20:74-75.<br />

Vos, P., Hogers, R., Bleeker, M., Reijans, M., Van Der Lee, T., Hornes, M., Frijters, A., Pot, J.,<br />

Peleman, J., Kuiper, M., and M. Zabeau. 1995. Nucl. Acid Res., 23:4407-4414.<br />

- 151 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Transcriptional pr<strong>of</strong>iling <strong>of</strong> gene expression during malting in barley<br />

Nora Lapitan 1 , Anna-Maria Botha-Oberholster 1 , Timothy J. Close 2 , and Christopher Lawrence 3<br />

1 Department <strong>of</strong> Soil and Crop Sciences, Colorado State University, Fort Collins, CO 80523;<br />

2 University <strong>of</strong> California, Riverside, CA 92521;<br />

3 Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA, 24061<br />

Abstract<br />

Malt is a major raw material for <strong>the</strong> production <strong>of</strong> beer, and during <strong>the</strong> malting process barley<br />

grains are germinated under strictly-controlled conditions. Malting is a complex process that<br />

involves many enzymes. Four enzymes known to be important in malting are α-amylase, βamylase,<br />

α-glucosidase, and limit dextrinase. The goal <strong>of</strong> this project is to isolate specific gene<br />

sequences and allelic variants <strong>of</strong> genes involved with <strong>the</strong> malting process. This includes known<br />

genes as well as undiscovered genes. To investigate <strong>the</strong> determining factors <strong>of</strong> malting quality,<br />

RNA expression patterns in different stages <strong>of</strong> micromalting (i.e, steeping, germination, kilning)<br />

in <strong>the</strong> 6-row cultivar ‘Morex’ was studied through hybridization <strong>of</strong> RNA against <strong>the</strong> 22K<br />

<strong>Barley</strong>1 Affymetrix GeneChip probe array. A subset <strong>of</strong> candidate genes that appear to be<br />

important in malting was identified. Expression patterns <strong>of</strong> <strong>the</strong>se genes were <strong>the</strong>n compared<br />

among <strong>the</strong> 6-row cultivars, ‘Morex’ and ‘Legacy’, and <strong>the</strong> 2-row cultivars, ‘Harrington’ and<br />

‘Merit.’ Genes that were differentially expressed between 2-row and 6-row cultivars, as well as<br />

among individual cultivars were identified.<br />

Introduction<br />

DNA arrays have been successfully utilized in plants to help decipher biochemical pathways<br />

involved in complex traits. Two recent studies investigated pathways involved in <strong>the</strong> responses<br />

<strong>of</strong> Arabidopsis thaliana against infection by cucumber mosaic virus strain Y (1) and barley<br />

against attack by Blumeria graminis f. sp hordei (2). Both studies identified genes <strong>of</strong> unkown<br />

function which appear to be important in <strong>the</strong> plant’s defense response against <strong>the</strong> pathogens.<br />

Malting quality <strong>of</strong> barley involves several traits that show quantitative variation (3). The number<br />

<strong>of</strong> QTLs (>150) that have been associated with malting quality phenotypes indicate <strong>the</strong><br />

involvement <strong>of</strong> many more genes than <strong>the</strong> four major genes known to be important in seed<br />

germination and malting. Based on <strong>the</strong> hypo<strong>the</strong>sis that <strong>the</strong> observed differences at <strong>the</strong> trait level<br />

are due to differences in <strong>the</strong> expression <strong>of</strong> <strong>the</strong> underlying genes, cDNA array technologies could<br />

be deployed to monitor gene expression in different genotypes and to identify genes contributing<br />

to complex traits such as malting (4). Based on an analysis <strong>of</strong> 1400 ESTs, between 17 and 30<br />

candidate genes were identified for each <strong>of</strong> six malting quality parameters analyzed (4). These<br />

genes include well known malting related genes, as well as o<strong>the</strong>rs with unknown function. This<br />

study was conducted to identify candidate genes that may be important determinants <strong>of</strong> malting<br />

quality in barley using <strong>the</strong> <strong>Barley</strong> 1 Gene Chip probe array containing 22,792 barley genes (5).<br />

There were two specific objectives: 1) to identify genes that are highly regulated during malting<br />

in <strong>the</strong> cultivar ‘Morex’, and; 2) identify genes that show expression level polymorphisms among<br />

four malting cultivars.<br />

- 152 -


Materials and Methods<br />

Session 5: Biotechnology and Genomics – Oral presentations<br />

Plant Material and Micromalting<br />

Four barley cultivars were used: ‘Harrington’, ‘Legacy’, ‘Merit’, and ‘Morex’. One hundred<br />

grams <strong>of</strong> seed from each cultivar were micro-malted at Busch Agricultural Resources, Inc., Fort<br />

Collins, CO. Three sets <strong>of</strong> all cultivars were separately germinated. Samples for ‘Morex’ were<br />

collected at 4 stages: 1) steeping (14 0 C for 48h), 2) Day-2 (48h germination, 20 0 C) malting; 3)<br />

Day-4 malting ((96 h germination, 20 0 C) and 4) after kilning (22 hrs). For <strong>the</strong> o<strong>the</strong>r three<br />

cultivars, samples were collected at Day-2 and Day-4. Dry seed was used as control.<br />

RNA Extraction and Hybridization<br />

Total RNA was prepared from a bulk <strong>of</strong> 5 seeds per sample using TRIzol Reagent (Gibco BRL<br />

Life Technologies, Rockville, MD) and tested for quality by denaturing gradient gel<br />

electrophoresis. Isolated total RNA samples were processed as recommended by Affymetrix, Inc.<br />

(Affymetrix GeneChip Expression Analysis Technical Manual, Affymetrix, Inc., Santa Clara,<br />

CA). All starting total RNA samples were quality assessed prior to beginning target<br />

preparation/processing steps by running out a small amount <strong>of</strong> each sample (typically 25-250<br />

ng/well) onto a RNA Lab-On-A-Chip (Caliper Technologies Corp., Mountain View, CA) that<br />

was evaluated on an Agilent Bioanalyzer 2100 (Agilent Technologies, Palo Alto, CA). Singlestranded,<br />

<strong>the</strong>n double-stranded cDNA was syn<strong>the</strong>sized from <strong>the</strong> poly(A)+ mRNA present in <strong>the</strong><br />

isolated total RNA (10 ug total RNA starting material each sample reaction) using <strong>the</strong><br />

SuperScript Double-Stranded cDNA Syn<strong>the</strong>sis Kit (Invitrogen Corp., Carlsbad, CA ) and poly<br />

(T)-nucleotide primers that contained a sequence recognized by T7 RNA polymerase.A portion<br />

<strong>of</strong> <strong>the</strong> resulting ds cDNA was used as a template to generate biotin-tagged cRNA from an in<br />

vitro transcription reaction (IVT), using <strong>the</strong> BioArray High-Yield RNA Transcript Labeling Kit<br />

(T7) (Enzo Diagnostics, Inc., Farmingdale, NY). Fifteen μg <strong>of</strong> <strong>the</strong> resulting biotin-tagged cRNA<br />

was fragmented to strands <strong>of</strong> 35-200 bases in length following prescribed protocols (Affymetrix<br />

GeneChip Expression Analysis Technical Manual). Subsequently, 10 ug <strong>of</strong> this fragmented<br />

target cRNA was hybridized at 45°C with rotation for 16 hours (Affymetrix GeneChip<br />

Hybridization Oven 640) to probe sets present on <strong>the</strong> <strong>Barley</strong>1 GeneChip probe array. The<br />

GeneChip arrays were washed and <strong>the</strong>n stained (SAPE, streptavidin-phycoerythrin) on an<br />

Affymetrix Fluidics Station 450, followed by scanning on a GeneChip Scanner 3000.<br />

Experimental Design and Data analysis<br />

To identify genes that are highly regulated during malting (Objective 1), RNA from 4 different<br />

stages <strong>of</strong> micro-malted ‘Morex’ and dry seed were hybridized onto <strong>the</strong> <strong>Barley</strong> 1 GeneChip probe<br />

array. Three replications per time point were conducted. For comparison <strong>of</strong> gene expression<br />

pr<strong>of</strong>iles among cultivars, RNA from Day-2 and Day-4 from ‘Legacy’, ‘Harrington’ and ‘Merit’<br />

was hybridized to <strong>Barley</strong> 1 GeneChip array. Two replications per genotype/time point were<br />

performed. The data were quantified and analyzed using GCOS 1.1.1 s<strong>of</strong>tware (Affymetrix, Inc.)<br />

and/or ArrayAssist’s gcRMA (Iobion Informatics, Inc.) using default values (Scaling, Target<br />

Signal Intensity = 500; Normalization, All Probe Sets, and Parameters, were set at default<br />

values). Statistical analysis was done using limma (Linear models for microarray data) (Smy<strong>the</strong><br />

et al., 2005, http://bioinf.wehi.edu.au/limma) and hierarchical clustering and Bioconductor<br />

s<strong>of</strong>tware (6)<br />

- 153 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Quantitative RT-PCR<br />

Quantitative RT-PCR was done using <strong>the</strong> QuantiTect ® SYBR ® Green RT-PCR system (Qiagen<br />

Inc., Valencia, CA, USA) and <strong>the</strong> Cepheid Smart Cycler (Cepheid, Sunnyvale CA, USA).<br />

Primers were designed using <strong>the</strong> specific barley sequences on <strong>the</strong> <strong>Barley</strong>1 GeneChip probe array.<br />

Results and Discussion<br />

Transcript pr<strong>of</strong>iling <strong>of</strong> genes expressed during different stages <strong>of</strong> malting in barley<br />

In order to better understand malting and possibly discover novel genes involved in this process,<br />

we employed <strong>the</strong> Affymetrix <strong>Barley</strong> 1 GeneChip probe array for transcriptional pr<strong>of</strong>iling <strong>of</strong> gene<br />

expression during malting. We began by looking at <strong>the</strong> main stages <strong>of</strong> malting using ‘Morex’ as<br />

a model and <strong>the</strong>n compared <strong>the</strong> gene expression in <strong>the</strong>se different malting stages to dry seed as<br />

control. The malting stages included steeping, Day-2 and Day-4 germination, and after kilning.<br />

To evaluate technical and biological variability, we analyzed replication clusters for both <strong>the</strong><br />

control and <strong>the</strong> different malting stages. The scatter plots showed that <strong>the</strong> same genes clustered<br />

in similar orders indicating that <strong>the</strong> replications gave highly reproducible results.<br />

Gene expression at each <strong>of</strong> <strong>the</strong> four malting stages examined was compared against dry seed<br />

expression pr<strong>of</strong>iles. Four hundred eighty seven genes were identified which showed 5000-fold<br />

greater signal intensity than dry seed at a significance level <strong>of</strong> P


Session 5: Biotechnology and Genomics – Oral presentations<br />

Table 1. Partial list <strong>of</strong> genes significantly expressed in Morex after 24 h (steeping) and 96 h (day 4) <strong>of</strong><br />

micromalting compared to dry seed (P < 0.0001) grouped according to function<br />

________________________________________________________________________<br />

Starch degradation<br />

alpha-amylase [Hordeum vulgare subsp. vulgare]; Alpha-amylase type a isozyme precursor (1,4-alpha-d-glucan<br />

glucanohydrolase) (amy1) (low pi alpha amylase); Beta-amylase (1,4-alpha-D-glucan maltohydrolase); Iso-amylaselike<br />

protein<br />

Sucrose metabolism/energy production<br />

2-oxoglutarate/malate translocator (clones OMT134 and OMT106), mitochondrial membrane - proso millet;<br />

Phosphoglycerate kinase, cytosolic pir||TVWTGY; phosphoglycerate kinase (EC 2.7.2.3), cytosolic – wheat;<br />

Glyceraldehyde 3-phosphate dehydrogenase (GAPDH)<br />

Inhibitors <strong>of</strong> hydrolytic enzymes<br />

Alpha-amylase/subtilisin inhibitor precursor (BASI) pir||S04860 alpha-amylase/subtilisin inhibitor precursor –<br />

barley; bowman-birk type trypsin inhibitor pir||TIBHB trypsin inhibitor (Bowman-Birk) - two-rowed barley<br />

Temperature stress response<br />

cold acclimation protein WCOR413 - wheat gb|AAB18207.1| cold acclimation protein WCOR413 [Triticum<br />

aestivum]; heat shock protein HSC70-1, cytosolic [imported] - spinach gb|AAA62445.1| heat shock protein<br />

Stress response/defense<br />

23 kd jasmonate-induced protein pir||S22514 jasmonate-induced protein 1 – barley; chitinase (EC 3.2.1.14) CH11,<br />

acidic - maize (fragment) gb|AAA62420.1| (L16798) class I acidic chitinase [Zea mays]; (1->3,1->4)-beta-glucanase<br />

isoenzyme II (EC 3.2.1.73) [Hordeum vulgare]<br />

Senescence<br />

Ethylene-inducible protein [Oryza sativa] Putative pyridoxine/pyridoxal 5-phosphate<br />

S-adenosylmethionine syn<strong>the</strong>tase 1 (Methionine adenosyltransferase 1) (AdoMet syn<strong>the</strong>tase 1<br />

Cell division and growth<br />

Tubulin beta-2 chain (Beta-2 tubulin) gb|AAD20179.1| beta-tubulin 2 [Eleusine indica]; ubiquitin / ribosomal<br />

protein CEP52 - rice dbj|BAA02154.1| ubiquitin/ribosomal polyprotein [Oryza sativa]<br />

Cell division and growth<br />

Tubulin beta-2 chain (Beta-2 tubulin) gb|AAD20179.1| beta-tubulin 2 [Eleusine indica]<br />

ubiquitin / ribosomal protein CEP52 - rice dbj|BAA02154.1| ubiquitin/ribosomal polyprotein [Oryza sativa]<br />

Lipid metabolism<br />

glyoxalase I [Oryza sativa (japonica cultivar-group)]; lipid transfer protein precursor 1 - barley (fragment)<br />

emb|CAA42832.1| LTP 1 [Hordeum vulgare]; omega-6 fatty acid desaturase [Sesamum indicum]<br />

Oxygen reactive enzymes<br />

CAD11966.1 2e-34 glutathione-S-transferase, I subunit [Hordeum vulgaresubsp. vulgare]<br />

ascorbate peroxidase [Hordeum vulgaresubsp. Vulgare<br />

Amino acid metabolism<br />

phosphoethanolamine methyltransferase [Triticum aestivum]; serine acetyltransferase [Oryza sativa (japonica<br />

cultivar-group)]<br />

Protein destination<br />

Adenosylhomocysteinase (S-adenosyl-L-homocysteine hydrolase) (AdoHcyase); ca<strong>the</strong>psin B-like cysteine<br />

proteinase (EC 3.4.22.-) - wheat (fragment); Cysteine proteinase EP-B 1 precursor pir||JQ1111; cysteine proteinase<br />

(EC 3.4.22.-) EP-B 1 precursor –barley<br />

protein syn<strong>the</strong>sis<br />

40s ribosomal protein s11 gb|aac14469.1| ribosomal protein s11 [glycine max]; ribosomal protein s30 homolog;<br />

protein id: at4g29390.1 [arabidopsis thaliana]; 60s acidic ribosomal protein p0 pir||t04309 acidic ribosomal protein<br />

p0 – rice; ef-1 alpha [oryza sativa] dbj|baa23659.1| ef-1 alpha [oryza sativa<br />

Cell wall degradation<br />

(1->3,1->4)-beta-glucanase isoenzyme II (EC 3.2.1.73) [Hordeum vulgare]; arabinoxylan arabin<strong>of</strong>uranohydrolase<br />

isoenzyme AXAH-I [Hordeum vulgare]<br />

Signal transduction<br />

adenosine kinase [Zea mays]; small Ran-related GTP-binding protein [Triticum aestivum]<br />

Unknown or unclear<br />

______________________________________________________________________________________<br />

- 155 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Comparative expression pr<strong>of</strong>iles among four malting barley cultivars<br />

The expression pr<strong>of</strong>iles <strong>of</strong> three o<strong>the</strong>r cultivars at Day-2 and Day-4 malting were investigated<br />

and compared with <strong>the</strong> same stages in ‘Morex’. Expression patterns <strong>of</strong> <strong>the</strong> subset <strong>of</strong> genes<br />

(identified in <strong>the</strong> study above) that appeared to be important in malting were analyzed in <strong>the</strong>se<br />

cultivars. O<strong>the</strong>r genes showing significant levels <strong>of</strong> expression but were not highly expressed in<br />

‘Morex’ were identified in <strong>the</strong> three cultivars. Among <strong>the</strong> highly expressed genes, 8.4% had at<br />

least a two-fold greater level <strong>of</strong> expression in ‘Morex’ and ‘Legacy’ than in <strong>the</strong> 2-row cutivars<br />

‘Harrington’ and ‘Merit’. Fructokinase and peptidylprolyl isomerase are examples <strong>of</strong> genes in<br />

this category. Conversely, 11.9% <strong>of</strong> <strong>the</strong> genes had at least 2-fold greater level <strong>of</strong> expression in<br />

<strong>the</strong> 2-row cultivars than in <strong>the</strong> 6-row cultivars. Acid phosphatase, and defensin are examples <strong>of</strong><br />

genes in <strong>the</strong> latter group. There were also some genes that were significantly expressed in one<br />

cultivar only. These genes may be involved in determining malting quality differences between<br />

2-row and 6-row cultivars or among <strong>the</strong> cultivars.<br />

In summary, candidate genes that appear to be important in malting or malting quality<br />

differences between cultivars were identified using <strong>the</strong> <strong>Barley</strong> 1 GeneChip probe array.<br />

Validation <strong>of</strong> <strong>the</strong>se candidate genes will be important. Association with malting quality<br />

phenotypes is one approach. Genetic mapping and co-localization <strong>of</strong> candidate genes with QTLs<br />

for malting quality phenotypes will provide fur<strong>the</strong>r evidence for <strong>the</strong>ir possible roles in malting.<br />

Acknowledgments<br />

This work was partially funded by Anheuser Busch and <strong>the</strong> US <strong>Barley</strong> Genome Project. We<br />

thank <strong>the</strong> following collaborators: Dr. Blake Cooper for providing genetic materials and for<br />

valuable discussions on strategies and malting quality phenotypes; Dr. Jolanta Menert for<br />

providing malted tissues and input on experimental design; Drs. Hari Iyer and Ann Hess for<br />

support with <strong>the</strong> statistical analyses; J.T. Svensson, and E.M. Rodriguez from Dr. Close’s lab for<br />

technical support with RNA quality assessments.<br />

References<br />

1) R. Mara<strong>the</strong>, Z. Guan, R. Anandalakshmi, H. Zhao, S.P. Dinesh-Kumar, Plant Mol Biol 55,<br />

501 (Jul, 2004).<br />

2) R.A. Caldo, D. Nettleton, R.P. Wise, Plant Cell 16, 2514 (Sep, 2004)<br />

3) S.E. Ullrich, F. Han, B.L. Jones, J. Am. Soc. Brew. Chem. 55, 1 (1997).<br />

4) E. Potokina et al., Mol. Breed. 14, 153 (2004).<br />

5) T.J. Close et al., Plant Physiol 134, 960 (Mar. 2004).<br />

6) R.C. Gentleman et al., Genome Biol 5, R80 (2004)<br />

- 156 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Molecular marker assisted introgression <strong>of</strong> loose and covered smut<br />

resistance into CDC McGwire hulless barley<br />

Tajinder S. Grewal, Brian G. Rossnagel, Graham J. Scoles<br />

Crop Development Centre/Department <strong>of</strong> Plant Sciences, University <strong>of</strong> Saskatchewan, 51 Campus Drive, Saskatoon, SK<br />

S7N 5A8 Canada<br />

True loose smut (Ustilago nuda (Jens.) Rostr.) and covered smut (U. hordei (Pers.) Lagerh.) <strong>of</strong><br />

barley result in yield reductions from 0.2 to 0.8 % in western Canada (Thomas and Menzies<br />

1997). The smuts can be controlled by seed treatment, sowing disease-free seed or growing<br />

resistant cultivars. Seed treatment with fungicides is effective but adds cost and <strong>the</strong> pathogens<br />

may become resistant (Ben-yephet et al. 1975, Leroux and Berthier 1988). Fur<strong>the</strong>rmore, seed<br />

treatment is not an option for organic production. Resistant cultivars are generally recognized as<br />

<strong>the</strong> most economical and preferred method <strong>of</strong> control. However, breeding for smut resistance is<br />

expensive as screening is time, labour and space consuming and frequent escapes makes it<br />

necessary to screen putative resistant lines several times to confirm resistance. As both diseases<br />

infect <strong>the</strong> inflorescence, simultaneously screening is not possible. Molecular Marker Assisted<br />

Selection is a good alternative to combine resistance to both diseases at once.<br />

CDC McGwire is a high yielding hulless barley cultivar but susceptible to true loose and covered<br />

smut. Loose smut resistant lines in a CDC McGwire background with resistance from TR251<br />

(Run8) were developed. Run8 confers resistance to most known races <strong>of</strong> U. nuda in western<br />

Canada (Thomas and Menzies 1997). Similarly, covered smut resistant lines (having <strong>the</strong> Ruhq<br />

gene) in a CDC McGwire background were available with resistance from Q21861. Ruhq shows<br />

resistance to western <strong>Canadian</strong> isolates <strong>of</strong> U. hordei (Grewal et al. 2004). Each <strong>of</strong> <strong>the</strong>se lines<br />

had 50% <strong>of</strong> <strong>the</strong>ir background from CDC McGwire.<br />

A sequence characterized amplified region (SCAR) marker linked to <strong>the</strong> loose smut resistance<br />

gene Run8 has been developed (Eckstein et al. 2002). Similarly, a SCAR marker linked to<br />

covered smut resistance in Q21861 has been developed (Ardiel et al. 2002). This project was<br />

initiated to introgress <strong>the</strong> Run8 and Ruhq into CDC McGwire using molecular markers.<br />

Materials and Methods<br />

Breeding line SH00752 (CDC McGwire/TR251) was crossed with breeding line SH01470 (CDC<br />

McGwire/Q21861). Two strategies were used to introgress covered and loose smut into CDC<br />

McGwire i.e. doubled haploidy and marker-assisted backcrossing.<br />

Doubled haploidy<br />

SH00752 X SH01470 F1 seeds were used to produce doubled haploids. Thirty five DH plants<br />

were produced using microspore culture and tested with UhR450 and Un8700R SCAR markers as<br />

described by Ardiel et al. (2002) and Eckstein et al. (2002), respectively. The 35 DH lines were<br />

tested for covered and loose smut reactions.<br />

Covered smut screening: For inoculation, disease screening and evaluation, <strong>the</strong> techniques used<br />

were as reported earlier (Ardiel et al. 2002, Grewal et al. 2004). The 35 DH lines (population<br />

- 157 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

MC0181) were inoculated with a mixture <strong>of</strong> U. hordei isolates along with <strong>the</strong> original parents<br />

(Q21861, CDC McGwire, TR251) and susceptible check (CDC Candle). All lines were screened<br />

in <strong>the</strong> field in summer 2003 at <strong>the</strong> Preston Plots, U <strong>of</strong> S, Saskatoon. Covered smut infection was<br />

evaluated as percent infected heads. In fall 2003, 21 putative resistant lines (showing


Session 5: Biotechnology and Genomics – Oral presentations<br />

Table 1. Phenotype and Genotype Data <strong>of</strong> 35 Doubled-Haploid Lines<br />

<strong>Barley</strong> lines Test Covered smut reaction* UhR450 Un8 Loose smut reaction**<br />

Field 2003 GH 2003 Field 2004 covered Loose GH Field GH<br />

% infected % infected % infected smut smut 2003 2004 2004<br />

heads plants heads marker marker<br />

CDC Candle check 48.5 75.0 65.1 No No S S S<br />

Q21861 parent 0.4 0.0 0.1 Yes No S S S<br />

TR251 parent 8.1 17.6 2.5 No Yes R R R<br />

CDC McGwire parent 10.5 16.7 4.4 No No S S S<br />

MC0181-01 SH00752/SH01470 1.1 8.3 0.2 Yes Yes R R R<br />

MC0181-02 0.6 0.0 0.1 Yes Yes S<br />

MC0181-03 15.8 No No S<br />

MC0181-04 4.1 No Yes R R R<br />

MC0181-05 0.0 0.0 0.0 Yes No S<br />

MC0181-07 6.5 No No S<br />

MC0181-08 0.0 0.0 0.3 Yes Yes R R R<br />

MC0181-09 0.0 0.0 0.0 No No R R R<br />

MC0181-10 3.6 No Yes R R R<br />

MC0181-11 4.7 No Yes R R R<br />

MC0181-14 0.0 0.0 0.0 Yes Yes R S R<br />

MC0181-15 0.9 0.0 0.0 Yes Yes R R R<br />

MC0181-18 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-21 19.9 No Yes R R R<br />

MC0181-22 18.7 No Yes R R R<br />

MC0181-23 3.2 No No S<br />

MC0181-24 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-25 11.7 No No S<br />

MC0181-26 8.8 No No S<br />

MC0181-27 13.7 No Yes R R R<br />

MC0181-28 0.0 7.1 0.0 Yes Yes R R R<br />

MC0181-29 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-30 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-31 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-32 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-33 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-34 3.3 No No S<br />

MC0181-37 0.0 0.0 0.0 Yes Yes R R R<br />

MC0181-40 3.0 No No S<br />

MC0181-45 1.3 0.0 0.2 No No S<br />

MC0181-46 0.6 0.0 0.1 No No S<br />

MC0181-47 14.0 No Yes R R R<br />

MC0181-48 2.6 5.5 0.0 Yes No S<br />

MC0181-49 0.0 0.0 0.0 Yes No S<br />

MC0181-50 0.0 0.0 0.0 Yes No S<br />

*In field, covered smut evaluated as % infected heads; in greenhouse, evaluated as % infected plants.<br />

**R - no infected head; S - any infected head. Loose smut inoculations were performed in <strong>the</strong> field and<br />

inoculated seeds were grown in <strong>the</strong> greenhouse for disease development and vice versa.<br />

- 159 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Loose smut screening showed TR251 resistant (no infected head) and Q21861 and CDC<br />

McGwire susceptible. Twenty-one DH lines showed resistance and for 33/35 lines <strong>the</strong><br />

phenotype and genotype data agreed. Resistant lines were screened twice to confirm <strong>the</strong>ir<br />

resistance. All but one were resistant in <strong>the</strong> two subsequent tests.<br />

Testing <strong>of</strong> putative resistant DH lines three times against covered smut and loose smut, showed<br />

12 lines resistant to both <strong>the</strong> diseases and positive for both markers, proving indirect selection<br />

using molecular markers is feasible. All 12 lines are being tested for agronomic and quality traits<br />

during 2005.<br />

Marker-assisted Backcrossing<br />

Plants were genotyped in each generation and plants positive to both markers were backcrossed<br />

to CDC McGwire. The number <strong>of</strong> BC1F1, BC2F1 and BC3F1 plants genotyped are shown in Table<br />

2 and plants segregated in a 1:2:2:1 ratio for <strong>the</strong> markers as expected for two independent loci. In<br />

<strong>the</strong> BC3F2 generation, a high number <strong>of</strong> plants were positive to ei<strong>the</strong>r Un8 and/or UhR450<br />

markers because <strong>the</strong>se are dominant, thus we were unable to distinguish between homozygous<br />

and heterozygous plants. These plants were screened with SCAR marker Un8700S and RAPD<br />

marker OPJ10450 to identify <strong>the</strong> plants homozygous for <strong>the</strong> markers.<br />

Table 2. Genotyping <strong>of</strong> Backcrossed Plants with Un8 and UhR450 Markers<br />

Generation Total plants<br />

screened<br />

Positive to both<br />

markers<br />

Run8 UhR450 No marker<br />

BC1F1 166 27 79 68 46<br />

BC2F1 240 61 119 115 67<br />

BC3F1 103 22 51 52 21<br />

BC3F2 186 99 136 131 18<br />

Evaluation <strong>of</strong> 10 lines against covered smut in <strong>the</strong> field in 2004 and twice in <strong>the</strong> greenhouse<br />

indicated all were resistant (Table 3). These lines, along with <strong>the</strong> parents and <strong>the</strong> check, were<br />

tested twice against loose smut. All lines were resistant. These lines are being tested again in<br />

<strong>the</strong> field for loose and covered smut to exclude <strong>the</strong> possibility <strong>of</strong> escapes.<br />

Blind selection based on <strong>the</strong> markers was conducted until <strong>the</strong> BC3F2. In every generation, plants<br />

for backcrossing were selected based only on genotype. We were fortunate to have markers<br />

linked to susceptible alleles, thus were able to identify homozygous plants for resistance to both<br />

diseases in <strong>the</strong> BC3F2. The resistance <strong>of</strong> BC3F3 , BC3F4 and BC3F5 lines to both covered and loose<br />

smut proves MAS is practical. These lines are more than 93% similar to CDC McGwire as we<br />

started with 50% CDC McGwire in each parent. Phenotypically, <strong>the</strong>y are very similar to CDC<br />

McGwire. These lines are being tested in BC3F6 generation against loose and covered smut to<br />

confirm reactions. Lines showing resistance to both <strong>the</strong> diseases are being evaluated in 2005<br />

yield trials. As <strong>the</strong>se lines are very similar to CDC McGwire limited testing should be required to<br />

detail overall performance. This material may be released as a new cultivar - fully smut resistant<br />

hulless barley! Release <strong>of</strong> <strong>the</strong>se MAS-improved cultivars will demonstrate <strong>the</strong> power <strong>of</strong> this<br />

technology. These results confirm that molecular markers can assist in rapid introgression <strong>of</strong><br />

disease resistance genes into elite lines with considerable savings in time and cost.<br />

- 160 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Table 3. Screening <strong>of</strong> Backcrossed Lines against Loose Smut and Covered Smut<br />

<strong>Barley</strong> lines Test Loose smut* Covered smut reaction**<br />

Field 2004 Gh winter 2004 Gh Spring 2004<br />

Fall 2004 Spring 2005 % infected heads % infected plants % infected plants<br />

CDC Candle check S S 65.1 87.5 71.4<br />

Q21861 parent S S 0.1 0.0 0.0<br />

TR251 parent R R 2.5 35.7 37.5<br />

CDC McGwire parent S S 4.4 50.0 25.0<br />

SH041241 R R 0.0 6.7 0.0<br />

SH041242 R R 0.0 0.0 0.0<br />

SH041243 R R 0.0 5.9 0.0<br />

SH041244 R R 0.0 0.0 0.0<br />

SH041245 R R 0.0 0.0 0.0<br />

SH041246 R R 0.0 0.0 0.0<br />

SH041247 R R 0.0 0.0 0.0<br />

SH041248 R R 0.4 0.0 0.0<br />

SH041249 R R 0.0 0.0 7.1<br />

SH041250 R R 0.0 0.0 5.6<br />

*R - Resistant, no infected head; S - Susceptible, one or more infected heads.<br />

**In field, covered smut was scored as % infected heads; in greenhouse, scored as % infected plants.<br />

Acknowledgements<br />

We are grateful to Doug Voth and Tom Zatorski for <strong>the</strong>ir assistance in field and greenhouse<br />

experiments, to Shelley Duncan and Mandy Mac for crossing and to Donna Hay for her<br />

assistance in genotyping and to Peter Eckstein for his technical advice. The work was funded in<br />

part by <strong>the</strong> Saskatchewan Agriculture Development Fund and <strong>the</strong> WGRF Check-<strong>of</strong>f.<br />

References<br />

Ardiel, G.S., Grewal, T.S., Deberdt, P., Rossnagel, B.G. and Scoles G.J. 2002. Theor. Appl.<br />

Genet. 104: 457-464.<br />

Ben-yephet, Y., Henis, Y. and Dinoor, A. 1975. Phytopathology 64: 51-56.<br />

Eckstein, P.E., Hay, D., Rossnagel, B.G. and Scoles, G.J. 2004. In Proc. 9 th International <strong>Barley</strong><br />

Genetics <strong>Symposium</strong>, Brno, Czech Republic, 20-26 June, 2004. pp. 259-262.<br />

Eckstein, P.E., Krasichynska, N., Voth, D., Duncan, S., Rossnagel, B.G. and Scoles, G.J. 2002.<br />

Can. J. Plant Pathol. 24: 46-53.<br />

Grewal, T.S., Rossnagel, B.G. and Scoles, G.J. 2004. Can. J. Plant Pathol. 26 (2): 156-166.<br />

Leroux, P. and Berthier, G. 1988. Crop Prot. 7: 16-19.<br />

Thomas, P.L. and Menzies, J.G. 1997. Can. J. Plant Pathol. 19: 161-165.<br />

- 161 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Coupling expressed sequences and bacterial artificial chromosome<br />

resources to access <strong>the</strong> barley genome<br />

Kavitha Madishetty 1 , Jan T. Svensson 1 , Pascal Condamine 1 , Jie Zheng 2 , Steve Wanamaker 1 , Ming-Cheng<br />

Luo 3 , Tao Jiang 2 , Stefano Lonardi 2 and Timothy J. Close 1 *<br />

1 Dept. <strong>of</strong> Botany & Plant Sciences, 2 Dept. <strong>of</strong> Computer Sciences, University <strong>of</strong> California, Riverside, CA, 92521, 3 Dept. <strong>of</strong><br />

Agronomy & Range Science, University <strong>of</strong> California, Davis, CA, 95616<br />

*Corresponding Author: TJC: (951) 827-3318; E-mail: timothy.close@ucr.edu<br />

Abstract<br />

<strong>Barley</strong> is an important cereal crop with a size <strong>of</strong> approx. 5300 Mb per haploid genome. This is<br />

too large to be considered for whole-genome sequencing. But barley genome resources including<br />

<strong>the</strong> Morex BAC library, abundant ESTs, and 22K microarray enable researchers to access <strong>the</strong><br />

barley genome. We aim to couple <strong>the</strong>se resources to accelerate a transition to comprehensive<br />

physical mapping and sequencing <strong>of</strong> <strong>the</strong> barley “gene-space”. We utilized unigene sequences to<br />

design more than 12,600 36-mer “overgo” probes to identify Morex barley BAC clones that<br />

carry expressed genes. These BAC clones will be fingerprinted to create BAC contigs, and a<br />

minimal set will be identified. In Phase I <strong>of</strong> this project, 21,161 BACs identified in our own<br />

work and that <strong>of</strong> A Kleinh<strong>of</strong>s, G Muehlbauer, R Wise, P Hayes, K Gill, N Stein, MA Saghai<br />

Maro<strong>of</strong> and co-workers were fingerprinted, with 13,067 BACs assembled into 2262 contigs<br />

comprising ca 9.4% (470 Mb) <strong>of</strong> <strong>the</strong> genome. These results are available through <strong>the</strong> “The<br />

<strong>Barley</strong> Genome” website http://phymap.ucdavis.edu:8080/barley/. In Phase II, more than 7700<br />

abiotic stress related genes (drought, salinity, low temperature or ABA treatment) were identified<br />

using <strong>the</strong> Affymetrix <strong>Barley</strong>1 GeneChip. In total ~7000 overgos have been used as <strong>of</strong> June 2005.<br />

Of <strong>the</strong>se, about 2149 overgo probes were related to an objective to genetically map 1000 genes<br />

associated to abiotic stress. For <strong>the</strong> purpose <strong>of</strong> anchoring <strong>the</strong>se abiotic stress related regions on<br />

<strong>the</strong> genetic map, we investigated single feature polymorphisms (SFPs) using <strong>the</strong> <strong>Barley</strong>1<br />

GeneChip data using Morex, Steptoe, Oregon Wolfe <strong>Barley</strong> (OWB) dominant and OWB<br />

recessive. We also developed a single nucleotide polymorphisms (SNPs) database from<br />

HarvEST:<strong>Barley</strong> EST sequences. A high throughput method for SNP mapping with R Waugh<br />

and N Rostoks (Scottish Crop Research Institute; SCRI) and N Stein, R Varshney and A Graner<br />

(Institute <strong>of</strong> Plant Genetics and Crop Plant Research; IPK) is in progress. Polymorphisms, and<br />

genetic and physical map data, will be added to HarvEST:<strong>Barley</strong> (http://harvest.ucr.edu). Phase<br />

III has a goal <strong>of</strong> probing <strong>the</strong> BAC library with <strong>the</strong> remaining ~5500 overgos to identify around<br />

60,000 gene-bearing BACs in all, and to fingerprint and align <strong>the</strong>m into contigs to derive a<br />

physical map <strong>of</strong> <strong>the</strong> overall minimal set.<br />

Introduction<br />

Triticeae genomes contain at least 80% <strong>of</strong> repetitive DNA (Bennet and Leitch, 1995), which has<br />

so far prevented <strong>the</strong> Triticeae from becoming <strong>the</strong> focus <strong>of</strong> large-scale genomic sequencing<br />

projects. In recent years, however, a number <strong>of</strong> barley genomic resources such as ~400,000 ESTs<br />

representing about 70% <strong>of</strong> all genes, <strong>the</strong> 6.4X Morex BAC library (Yu et al. 2000), cDNA<br />

libraries, several widely used mapping populations, a 22K microarray and its diploid nature have<br />

made barley a model Triticeae crop to access its genome.<br />

- 162 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

The most commonly used probes for screening arrayed libraries have been sub-cloned DNA<br />

fragments, PCR amplified products (Xu et al. 1998) or DNA oligonucleotides (Klein et al. 2000).<br />

A novel approach for making probes, developed by Ross et al. (1999), has <strong>the</strong> advantage <strong>of</strong><br />

oligonucleotides and also yields slightly larger probes with better hybridization kinetics and<br />

higher specific activity <strong>of</strong> labeling. These probes, termed overgos are made by annealing two 24bp<br />

oligonucleotides with an 8-bp overlapping region at <strong>the</strong> 3’ end and filling in <strong>the</strong> overhanging<br />

bases with Klenow enzyme and radiolabeled nucleotides. Multiplexing <strong>of</strong> overgos enables <strong>the</strong><br />

hybridization <strong>of</strong> large numbers <strong>of</strong> probes in a single experiment. For example, 10,642 overgos<br />

designed from ESTs were applied to 165,888 maize BACs in a 24×24×24 experimental design<br />

with an 88% success rate (Gardiner et al. 2004).<br />

In our effort to isolate a large number <strong>of</strong> BAC clones from gene rich loci in <strong>the</strong> barley genome,<br />

we have developed a novel strategy that integrates <strong>the</strong> technical advantages <strong>of</strong> currently available<br />

library screening methods. We modified <strong>the</strong> labeling protocol and developed stringent criteria for<br />

<strong>the</strong> selection <strong>of</strong> sequences used for overgo probes. We developed s<strong>of</strong>tware that can extract<br />

overgos from unique as well as popular sequences from <strong>the</strong> HarvEST:<strong>Barley</strong> database.<br />

Following this approach, we designed a total <strong>of</strong> 12,661 “overgos”. The “OligoSpawn” website<br />

http://oligospawn.ucr.edu provides access to elements <strong>of</strong> our oligo design algorithms. We have<br />

been able to pool >200 overgo probes per hybridization for highly parallel hybridization-based<br />

screening <strong>of</strong> <strong>the</strong> Morex barley BAC library.<br />

Materials and Methods<br />

<strong>Barley</strong> BAC library. The library was derived from DNA <strong>of</strong> cultivar Morex using restriction<br />

endonuclease HindIII. This library consists <strong>of</strong> 313,344 individual clones stored in 816 384-well<br />

microtiter plates. This library provides about 6.3 haploid genome equivalents with an average<br />

insert size is 106 kb. The library is arrayed on 17 high-density DNA filters for screening by<br />

hybridization (http://www.genome.clemson.edu).<br />

Oligonucleotide probe design. A computer program “OligoSpawn” was used to design <strong>the</strong><br />

overgo probes used in this study (Zheng et al. 2004, http://www.oligospawn.ucr.edu). A total <strong>of</strong><br />

18,766 overgos were designed from <strong>the</strong> probesets used in 22K barley GeneChip (Close et al.<br />

2004), and <strong>of</strong> <strong>the</strong>se 9500 were selected for <strong>the</strong> present studies. The rest <strong>of</strong> <strong>the</strong> overgos (around<br />

2600 for this project) were designed from unigenes that were not covered as probesets on <strong>the</strong><br />

barley gene chip. These latter probes were chosen on <strong>the</strong> basis <strong>of</strong> functional categories <strong>of</strong> <strong>the</strong><br />

unigenes from which <strong>the</strong>y were derived.<br />

Oligonucleotide probes and probe pairs. All barley oligonucleotide primers were purchased<br />

from Illumina Inc. (San Diego, CA). Each oligonucleotide was syn<strong>the</strong>sized as a 22-mer at 25<br />

nmol scale, dissolved in 250 μl <strong>of</strong> TE buffer, and diluted 50-fold in <strong>the</strong> final probe pair mix<br />

(final concentration 1 μM).<br />

Oligonucleotide probe labeling. Ten microliters <strong>of</strong> each probe pair mix was labeled in a separate<br />

well <strong>of</strong> a 96-well PCR microplate with 10 μl <strong>of</strong> freshly prepared master mix composed <strong>of</strong> 4.0 μl<br />

<strong>of</strong> 2.5X Overgo Labeling Buffer, 1.0 μl 2 mg/ml acetylated bovine serum albumin (BSA)<br />

- 163 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

(Promega), 0.125 μl <strong>of</strong> all <strong>the</strong> four radioactive nucleotides ( [α- 32 P] dATP, [α- 32 P] dCTP, [α- 32 P]<br />

dGTP and [α- 32 P] dTTP) each at a concentration <strong>of</strong> 10 μCi/μl (~ 3000 Ci/mmol) (Perkin Elmer)<br />

and 1 unit <strong>of</strong> Klenow enzyme (New England Biolabs). A dNTP solution composed <strong>of</strong> 10 mM<br />

each <strong>of</strong> four non-radioactive dNTPs was used for cold chase. An oligonucleotide pair with<br />

sequences 5’-AACGGGCGAGTGATGTAAAATA-3’ and 5’-<br />

TGATGGGATCGGGCTATTTTAC-3’ was used as background overgo to light up all <strong>of</strong> <strong>the</strong><br />

bacterial clones. Labeling reactions were carried out at room temperature for 1 h followed by<br />

addition <strong>of</strong> 5 μl <strong>of</strong> <strong>the</strong> cold chase solution to each <strong>of</strong> <strong>the</strong> reaction tubes. Later, all <strong>the</strong> reactions<br />

were pooled and probes were denatured at 95°C for 5 min and immediately transferred to <strong>the</strong><br />

hybridization tubes containing prehybridized high density BAC membranes.<br />

High-density filter hybridization. Hybridization was performed in 40 ml <strong>of</strong> Church’s buffer at<br />

60°C for two nights in a hybridization oven. After hybridization, membranes were extensively<br />

washed in solutions with increasing stringency starting with 2 liters <strong>of</strong> 4X SSC with 0.1% SDS<br />

followed by 2 liters <strong>of</strong> 1.5X SSC with 0.1% SDS and finally with 2 liters <strong>of</strong> 0.75X SSC with<br />

0.1% SDS at 50°C. Membranes were <strong>the</strong>n sealed in plastic wrap and exposed to Kodak X-ray<br />

films (Kodak BIOMAX MS Double Emulsion, 24 x 30 cm) at -80°C for 5-6 days.<br />

Results<br />

Phase I<br />

As <strong>the</strong> initial step to compile all <strong>the</strong> barley resources, all <strong>of</strong> <strong>the</strong> available BAC addresses from<br />

major barley genomic researchers were collected. A total <strong>of</strong> 21,616 BAC addresses were<br />

compiled from seven sources including those identified from our own work and that <strong>of</strong> A<br />

Kleinh<strong>of</strong>s, G Muehlbauer, R Wise, P Hayes, K Gill, N Stein, MA Saghai Maro<strong>of</strong> and coworkers.<br />

The majority <strong>of</strong> <strong>the</strong>se BAC clones were identified using mapped cDNA probes, while<br />

most <strong>of</strong> <strong>the</strong> o<strong>the</strong>rs were recognized using EST-derived overgo probes. In Phase I <strong>of</strong> this project,<br />

an attempt was made to fingerprint all <strong>of</strong> <strong>the</strong>se BACs, with 15,513 clones ultimately used for<br />

FPC assembly. Of <strong>the</strong>se, 13,067 BACs assembled into 2262 contigs, while 2446 were singletons.<br />

These 2262 contigs account for 470 Mb which is about 9.4% <strong>of</strong> <strong>the</strong> barley genome. All data is<br />

publicly available at <strong>the</strong> “<strong>Barley</strong> Genome” website http://phymap.ucdavis.edu:8080/barley/<br />

providing access to BAC contig data.<br />

Phase II<br />

The strategy that we have developed consists <strong>of</strong> identifiying gene-containing BAC clones<br />

through hybridization to pools <strong>of</strong> overgos designed from EST-derived unigene sequences in <strong>the</strong><br />

HarvEST:<strong>Barley</strong> database. We design overgos using algorithms available through <strong>the</strong><br />

OligoSpawn website (http://oligospawn.ucr.edu). OligoSpawn provides efficient selection <strong>of</strong> two<br />

types <strong>of</strong> oligos, namely unique and popular, from large unigene datasets. In <strong>the</strong> context <strong>of</strong> BAC<br />

library screening, unique oligos serve to unambiguously link one gene to BAC clones, while <strong>the</strong><br />

purpose <strong>of</strong> popular oligos is to identify <strong>the</strong> largest possible list <strong>of</strong> gene-bearing BAC clones<br />

using <strong>the</strong> smallest number <strong>of</strong> probes. In order to obtain oligos for many genes <strong>of</strong> interest, and to<br />

probe selectively by functional category, we created a local information management s<strong>of</strong>tware<br />

called oSearch. The majority <strong>of</strong> <strong>the</strong> overgos were derived from probesets on <strong>the</strong> Affymetrix<br />

barley GeneChip that were up- or down-regulated during abiotic stress including salinity,<br />

drought, low temperature or ABA treatment. This s<strong>of</strong>tware recommends a 36-mer for each<br />

unigene or probeset and lists all unigenes represented by a given 36-mer.<br />

- 164 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Using oSearch we have generated a total <strong>of</strong> 12,661 overgos to be used in this work. Through<br />

early June 2005, a total <strong>of</strong> about 7000 overgos had been used, generally in pools <strong>of</strong> 96 to 300<br />

simultaneous probes, most <strong>of</strong>ten 192 probes per pool. The reading <strong>of</strong> positive BAC addresses<br />

from all <strong>the</strong>se hybridizations using Incogen’s High Density Filter Reader s<strong>of</strong>tware<br />

(http://www.incogen.com) is in progress. Interestingly, results using 96 popular overgos<br />

detected about 4000 positive BAC clones, which is about 40 per overgo, about 6-7 times <strong>the</strong><br />

expected frequency <strong>of</strong> probes representing unique genes. This result seems to validate our<br />

hypo<strong>the</strong>sis that popular overgos provide economical screening <strong>of</strong> genomic libraries for genebearing<br />

clones that carry sequences found in numerous genes. Ano<strong>the</strong>r result from screening <strong>the</strong><br />

BAC library with 576 overgos, a mixture <strong>of</strong> unique and popular, identified more than 5000<br />

positive BAC clones with an average <strong>of</strong> 9.2 clones per probe (Figure 1).<br />

Percent New<br />

100%<br />

80%<br />

60%<br />

40%<br />

20%<br />

0%<br />

Percent New BACs vs Total BACs<br />

PhI 3 4 5 6 7 8 9 10111213<br />

Pools<br />

35000<br />

30000<br />

25000<br />

20000<br />

15000<br />

10000<br />

5000<br />

0<br />

Total # BACs<br />

Percent New<br />

Total BACs<br />

Figure 1: This chart shows <strong>the</strong> percent new BACs in each pool for this first 13 pools that we<br />

used, as well as <strong>the</strong> total number <strong>of</strong> BACs that were identified up to that point.<br />

In order to tie <strong>the</strong> physical map <strong>of</strong> BAC clones to <strong>the</strong> genetic linkage map, around 1000 genes<br />

with unambiguous BAC address and contigs will be mapped. To identify and map <strong>the</strong>se unigenes<br />

we developed a two-pronged approach based on single nucleotide polymorphisms (SNPs) and<br />

single feature polymorphisms (SFPs). SNP discovery was done “in silico” using a relaxed<br />

assembly (#32) from HarvEST:<strong>Barley</strong> and 36 pairwise comparisons between eight barley<br />

genotypes. This resulted in 12,615 eSNPs in 3509 unigenes, <strong>of</strong> which 29 <strong>of</strong> 32 (91%) randomly<br />

chosen eSNPs were validated by direct sequencing. Of <strong>the</strong>se 3509 unigenes, only <strong>the</strong> subset in<br />

<strong>the</strong> abiotic stress list has been fur<strong>the</strong>r considered for our mapping purposes. We combined our<br />

list <strong>of</strong> SNPs with o<strong>the</strong>rs provided by collaborators N Rostocks and R Waugh at SCRI and N<br />

Stein, R Varshney and Andreas Graner at IPK. SNPs from 565 and 217 unigenes were provided<br />

by SCRI and IPK, respectively, <strong>the</strong> former list being mainly a subset <strong>of</strong> <strong>the</strong> abiotic stress unigene<br />

list that we previously shared with our SCRI colleagues. The collective list <strong>of</strong> SNPs was used to<br />

design <strong>of</strong> an Illumina Oligo Pool Assay (OPA). The OPA is a high throughput genotyping<br />

- 165 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

platform designed to genotype 1536 loci simultaneously. Among <strong>the</strong>se, we hope to map as many<br />

as 1000 related to abiotic stress in order to accomplish our abiotic stress gene mapping objective.<br />

We plan to genotype 96 maplines each from Steptoe x Morex, Barke x Morex, and Oregon<br />

Wolfe <strong>Barley</strong> (OWB) dominant and recessive parents. Also 96 different cultivars, landraces and<br />

elite lines will be examined. Designs have been finalized for <strong>the</strong> Illumina OPA chip. To identify<br />

<strong>the</strong> BAC clones corresponding to <strong>the</strong>se ~1000 abiotic stress genes, about 2149 corresponding<br />

overgo probes have been used to screen <strong>the</strong> BAC library filters.<br />

For our second approach we investigated single feature polymorphisms (SFPs) using <strong>the</strong><br />

Affymetrix <strong>Barley</strong>1 GeneChip hybridized with labeled cRNA from <strong>the</strong> parents <strong>of</strong> each <strong>of</strong> three<br />

barley mapping populations: OWB dominant x OWB recessive, Steptoe x Morex, Barke x<br />

Morex. We developed a detection method using <strong>the</strong> robustified projection pursuit (RPP) method<br />

in order to evaluate <strong>the</strong> overall differentiations <strong>of</strong> signal intensities <strong>of</strong> probe sets comparing two<br />

genotypes and to measure <strong>the</strong> individual contribution <strong>of</strong> each probe, from which <strong>the</strong> probes<br />

covering polymorphisms (SNPs or INDELs) can be identified (Cui et al., submitted). We<br />

randomly selected SFP-containing unigenes for sequence validation and found that 59 <strong>of</strong> 72 were<br />

validated (82%). A total <strong>of</strong> 2090 SFPs were detected <strong>of</strong> which 844 (722 probe sets) were abiotic<br />

stress responsive as defined by our expression data. A 12,000 probe Nimblegen array was<br />

designed to fur<strong>the</strong>r test <strong>the</strong> performance <strong>of</strong> SFPs and optimize SFP representation. The results<br />

from <strong>the</strong> Nimblegen chip indicate that a 25-mer with <strong>the</strong> polymorphic nucleotide(s) positions<br />

within a central region <strong>of</strong> 6-18 nucleotides is best suited for obtaining higher signal intensity<br />

differences between <strong>the</strong> polymorphic parents.<br />

References<br />

Bennet MD, Leitch IJ. 1995. Nuclear DNA amounts in angiosperms. Ann Bot 76: 113-176.<br />

Close TJ, Wanamaker S, Caldo RA, Turner SM, Ashlock DA, Dickerson JA, Wing RA,<br />

Muehlbauer GJ, Kleinh<strong>of</strong>s A, Wise RP. 2004. A new resource for cereal genomics: 22K<br />

barley GeneChip comes <strong>of</strong> age. Plant Physiology 134: 960-968.<br />

Cui X, Xu J, Asghar R, Condamine P, Svensson JT, Wanamaker S, Stein, N, Roose M, Close TJ.<br />

2005. Detecting single-feature polymorphismn through high density oligonucleotide<br />

microarray. (Submitted to Bioinformatics)<br />

Gardiner J, Schroeder S, Polacco ML, Sanchez-Villeda H, Fang Z, Morgante M, Landewe T,<br />

Fengler K, Useche F, Hanafey M, Tingey S, Chou H, Wing R, Soderlund C, Coe EH Jr.<br />

2004. Anchoring 9,371 maize expressed sequence tagged unigenes to <strong>the</strong> bacterial artificial<br />

chromosome contig map by two-dimensional overgo hybridization. Plant Physiol 134:1317–<br />

1326.<br />

Klein PE, Klein RR, Cartinhour SW, Ulanch PE, Dong J, Obert JA, Morishige DT, Schlueter<br />

SD, Childs KL, Ale M, Mullet JE. 2000. A high-throughput AFLP-based method for<br />

constructing integrated genetic and physical maps: progress toward a sorghum genome map.<br />

Genome Res 10:789-807.<br />

Ross MT, LaBrie T, McPherson J, Stanton VM. 1999. Screening large-insert libraries by<br />

hybridization. In Current protocols in human genetics (ed. Ann Boyl), pp.5.6.1-5.6.52.<br />

Wiley, New York.<br />

- 166 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Xu J, Daichang Y, Domingo J, Ni J, Huang N. 1998. Screening for overlapping bacterial<br />

artificial chromosome clones by PCR analysis with an arbitrary primer. Proc Natl Acad Sci<br />

USA 95:5661-5666.<br />

Yu Y, Tomkins JP, Waugh R, Frisch DA, Kudrna D, Kleinh<strong>of</strong>s A, Brueggeman RS, Muehlbauer<br />

GJ, Wise RP, Wing RA. 2000. A bacterial artificial chromosome library for barley (Hordeum<br />

vulgare L.) and <strong>the</strong> identification <strong>of</strong> clones containing putative resistance genes. Theor Appl<br />

Genet 101:1093-1099.<br />

Zheng J, Close TJ, Lonardi S, Jiang T. 2004. Efficient selection <strong>of</strong> unique and popular oligos for<br />

large EST databases. Bioinformatics 20:2101-2112.<br />

- 167 -


Session 5: Biotechnology and Genomics – Oral presentations<br />

Analysis <strong>of</strong> barley necrotic mutants in relation to disease<br />

resistance/susceptibility<br />

A. Kleinh<strong>of</strong>s 1 , N. Rostoks 2 , L. Zhang 1 and B. Steffenson 3<br />

1Dept. Crop and Soil Sciences and School <strong>of</strong> Molecular Biosciences, Washington State University, Pullman, WA 99164-6420,<br />

USA<br />

2Scottish Crop Research Institute, Invergowrie, Dundee, DD2 5DA, United Kingdom<br />

3Department <strong>of</strong> Plant Pathology, University <strong>of</strong> Minnesota, St. Paul, MN 55108-6030, USA<br />

Plants respond to pathogen attack with complex signaling and defense mechanisms including<br />

hypersensitive response, which results in rapid cell death. Numerous mutants, resulting in<br />

unregulated cell death, have been identified in many species. In barley, such mutants are called<br />

"necrotic" while in Arabidopsis <strong>the</strong>y are labeled "lesion mimic" to suggest <strong>the</strong>ir involvement in<br />

mimicking response to pathogen attack. Lesion mimic or necrotic mutants have been extensively<br />

characterized in maize (reviewed in Johal et al., Bioessays 17:685, 1995) and Arabidopsis (reviewed<br />

in Lorrain et al., Trends Plant Sci. 8:263, 2003). In barley, <strong>the</strong> most famous necrotic mutant is mlo<br />

(Wolter et al., Mol. Gen. Genet. 239:122, 1993), but o<strong>the</strong>rwise such mutants have received only<br />

limited attention. The wild-type Mlo gene encodes a unique membrane anchored protein with six<br />

membrane-spanning helices and a postulated dual negative control function in leaf cell death and<br />

onset <strong>of</strong> pathogen defense (Buschges et al., Cell 88:695, 1997). The recessive mlo allele confers<br />

durable broad-spectrum resistance to almost all known isolates <strong>of</strong> <strong>the</strong> biotrophic fungal pathogen<br />

Erysiphe graminis f. sp. hordei (powdery mildew) (Jorgensen, Euphytica 63:141, 1992). However,<br />

all mlo lines are hyper-susceptible to <strong>the</strong> hemibiotrophic fungi Bipolaris sorokiniana (teleomorph<br />

Cochliobolus sativus) and Magnapor<strong>the</strong> grisea (Kumar et al., Phytopath. 91:127, 2001; Jarosch et al.,<br />

Mol. Plant-Microbe Interact. 12:508, 1999). Since <strong>the</strong> survival <strong>of</strong> hemibiotrophic pathogens in <strong>the</strong>ir<br />

necrotrophic phase depends on host cell death, <strong>the</strong> lack <strong>of</strong> Mlo gene function may antagonize plant<br />

defenses to <strong>the</strong>se organisms. The simplest interpretation <strong>of</strong> <strong>the</strong>se observations may be that increased<br />

susceptibility to cell death, as in necrotic mutants, may be antagonistic to biotrophic organisms and<br />

favor necrotrophic organisms. Here we report <strong>the</strong> identification <strong>of</strong> fast neutron induced mutants<br />

FN085 and FN338 as allelic to <strong>the</strong> barley nec1 locus. By homology to <strong>the</strong> Arabidopsis Hlm1 gene,<br />

<strong>the</strong> Nec1 gene encodes <strong>the</strong> cyclic nucleotide-gated ion channel (CNGC) 4 protein (Rostoks et al.,<br />

submitted). This protein belongs to a family <strong>of</strong> proteins that are weakly selective cation channels,<br />

permeable to K + , Na + and/or Ca ++ and regulated by cyclic nucleotides and calmodulin. In<br />

Arabidopsis <strong>the</strong> hlm1 allele confers increased resistance to Pseudomonas syringae pv. tomato<br />

(Balague et al., Plant Cell 12:365, 2003). We tested <strong>the</strong>se mutants and several o<strong>the</strong>r necrotic mutants<br />

for <strong>the</strong>ir reaction to stem rust Puccinia graminis f. sp. tritici (B. Steffenson, unpublished). The<br />

CNGC4 mutants FN085, in susceptible cv. Steptoe background, and FN338, in resistant cv. Morex<br />

background, did not differ from <strong>the</strong> wild-type in <strong>the</strong>ir reaction to <strong>the</strong> stem rust pathotype MCC, thus<br />

this mutation did not affect susceptibility or resistance to <strong>the</strong> pathogen. Surprisingly four o<strong>the</strong>r fast<br />

neutron-induced necrotic mutants, all in susceptible cv. Steptoe background, showed remarkable<br />

resistance to <strong>the</strong> stem rust pathotype MCC, while several o<strong>the</strong>rs showed no change in <strong>the</strong>ir response<br />

when compared to <strong>the</strong> wild-type. In order to identify <strong>the</strong> genes involved, <strong>the</strong> four resistant mutants<br />

were subjected to analysis on <strong>the</strong> <strong>Barley</strong> 1 Affymetrix microarray. Preliminary data indicate that<br />

several genes are deleted in each mutant. These could be multiple deletions at several loci or due to<br />

one large deletion. To simplify <strong>the</strong> analysis, <strong>the</strong> mutants were backcrossed to wild-type and<br />

reselected for new analysis on <strong>the</strong> microarray. The mutants are also being tested for response to<br />

different pathogens.<br />

- 168 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

A TaqMan ® fluorescent reporter probe replaces gel electrophoresis for <strong>the</strong><br />

Rpg1 SCAR marker in molecular marker-assisted selection<br />

Peter Eckstein, Donna Hay, Brian Rossnagel, and Graham Scoles<br />

Department <strong>of</strong> Plant Sciences/Crop Development Centre, University <strong>of</strong> Saskatchewan, Saskatoon, SK, CANADA S7N 5A8<br />

The markers for <strong>the</strong> barley stem rust resistance gene Rpg1 (Eckstein et al, 2003) are based on DNA<br />

sequence <strong>of</strong> <strong>the</strong> isolated gene (Brueggeman et al, 2002) and as such are “perfect” markers, being able<br />

to distinguish between resistant and susceptible alleles without recombination. While linkage based<br />

markers cannot reliably be used to predict <strong>the</strong> phenotype <strong>of</strong> plant lines that have not previously been<br />

disease tested, <strong>the</strong> Rpg1 marker can be used in this fashion. The marker is routinely used in our<br />

breeding program and has replaced <strong>the</strong> need for our local rust nursery. The disease reaction <strong>of</strong><br />

candidate varieties is confirmed only at <strong>the</strong> Co-op testing level. In addition, <strong>the</strong> marker is routinely<br />

used to determine <strong>the</strong> presence or absence <strong>of</strong> rust resistance in previously uncharacterized materials.<br />

As such, <strong>the</strong> marker is highly useful in <strong>the</strong> breeding program. The present limiting step in our<br />

MMAS program remains <strong>the</strong> analysis <strong>of</strong> PCR products by gel electrophoresis. We are investigating<br />

<strong>the</strong> use <strong>of</strong> TaqMan ® fluorescent reporter probes for allelic discrimination in quantitative real-time<br />

PCR (qRT-PCR) to replace gel electrophoresis. The Rpg1 markers are ideal as a model since <strong>the</strong><br />

markers are highly robust and <strong>the</strong> primers are highly selective due to <strong>the</strong> 3nt insertion/deletion event<br />

in <strong>the</strong> gene that determines gene functionality and which form <strong>the</strong> discriminatory basis for <strong>the</strong> PCR<br />

primers. A TaqMan ® probe has been designed with <strong>the</strong> aid <strong>of</strong> Beacon Designer 4.0 such that <strong>the</strong><br />

PCR primers are discriminatory and <strong>the</strong> fluorescent probe itself is universal to both <strong>the</strong> resistant and<br />

<strong>the</strong> susceptible PCR test. Amplification <strong>of</strong> <strong>the</strong> locus, and <strong>the</strong> amplification mediated increase in<br />

fluorescence, is determined by <strong>the</strong> selective sense primers (specific for ei<strong>the</strong>r <strong>the</strong> resistant allele or<br />

<strong>the</strong> susceptible allele). The probe sequence (Rpg1TMP, see below) lies 19 nucleotides downstream<br />

<strong>of</strong> <strong>the</strong> non-selective primer on <strong>the</strong> anti-sense strand. The non-selective primer (Rpg1TMR, see<br />

below) has been redesigned to amplify a short 120bp fragment for more efficient qRT-PCR assays.<br />

PCR amplification conditions are currently being optimized. Cost <strong>of</strong> <strong>the</strong> TaqMan ® probe is $0.07 per<br />

test, which is less than <strong>the</strong> cost <strong>of</strong> gel electrophoresis (based on 96 samples per gel). In addition,<br />

with fewer steps in <strong>the</strong> screening process <strong>the</strong>re is less potential for error, and <strong>the</strong> fluorescent detection<br />

<strong>of</strong> PCR products eliminates one <strong>of</strong> <strong>the</strong> steps <strong>of</strong> <strong>the</strong> MAS process that is not amenable to automation.<br />

Rpg1TMP 5’ FAM-TTTGGTATAGCTCTCCTTTCCTGCC-Black Hole Quencher1 3’<br />

Rpg1TMR 5’ TACACGCTCAGTAAACTCTT 3’<br />

Brueggeman, R., Rostoks, N., Kudrna, D., Kilian, A., Han, J., Druka, A., Steffenson, B., and A.<br />

Kleinh<strong>of</strong>s. 2002. Proc. Natl. Acad. Sci. USA 99:9328-9333.<br />

Eckstein, P., Rossnagel, B., and G. Scoles. 2003. <strong>Barley</strong> Genetics Newsletter 33:7-11.<br />

- 169 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Genetic analysis <strong>of</strong> preharvest sprouting in barley<br />

S.E. Ullrich*, J.A. Clancy, H. Lee, F. Han, K. Matsui, I.A. del Blanco<br />

Dept. <strong>of</strong> Crop & Soil Sciences, Washington State University, Pullman, WA 99164-6420, USA<br />

Preharvest sprouting (PHS) can be a problem in barley production, especially <strong>of</strong> malting barley. Rain<br />

or even very high humidity from near physiological maturity onward can cause sprouting in spikes.<br />

This has very serious consequences for malting grain, since rapid and complete germination is<br />

critical. Much information has been gained by studying <strong>the</strong> genetic control <strong>of</strong> dormancy (measured as<br />

percent germination) in barley. The objective <strong>of</strong> this study is to determine if <strong>the</strong> germplasm<br />

developed and QTLs discovered in previous research <strong>of</strong> dormancy can be applied or related to <strong>the</strong><br />

genetic control <strong>of</strong> PHS. PHS was measured in this study as ‘PHS score’ based on visual sprouting in<br />

mist chamber-treated spikes at 0 and 14 d after physiological maturity and as ‘alpha-amylase<br />

activity’ in kernels taken from mist chamber-treated spikes that showed little or no visible sprouting<br />

at physiological maturity (0 d). Germination percentage was also measured at 0 and 14 days after<br />

physiological maturity. Many QTLs for dormancy have been previously mapped, most <strong>of</strong> which are<br />

minor and inconsistently expressed across environments. Consistently expressed major and minor<br />

dormancy QTLs were previously mapped to barley chromosomes 1 (7H), 4 (4H), and 7 (5H) in <strong>the</strong><br />

U.S. <strong>Barley</strong> Genome Project Steptoe (dormant) / Morex (non-dormant) doubled haploid mapping<br />

population. Evaluation <strong>of</strong> this population grown in two environments (greenhouse and field) for PHS<br />

score revealed QTL regions on all chromosomes, except chromosome 6 (6H) and for alpha-amylase<br />

activity on all seven chromosomes from one or both environments. However, many <strong>of</strong> <strong>the</strong> QTLs<br />

identified were minor in effect. QTL effects for all traits analyzed ranged from 4 to 36%. The two<br />

major dormancy QTLs previously identified on chromosome 7, as well as, <strong>the</strong> minor ones on<br />

chromosomes 1 and 4 were confirmed in this study. Some <strong>of</strong> <strong>the</strong> PHS score and alpha-amylase QTLs<br />

coincide with known dormancy QTLs, but <strong>the</strong>re appear to be QTLs unique to PHS, as well. Some<br />

PHS alpha-amylase activity QTLs coincide with known malt-derived alpha-amylase activity QTLs,<br />

but some do not. The major chromosome 7 dormancy QTLs detected from this cross are expressed<br />

during PHS, but several previously identified minor dormancy QTLs appear to be more important<br />

during preharvest sprouting than during after-ripening or after-harvest dormancy conditions.<br />

Whereas, <strong>the</strong> literature frequently equates dormancy and preharvest sprouting, it appears <strong>the</strong>re is<br />

some difference in genetic control <strong>of</strong> <strong>the</strong>se two somewhat opposite traits. Both traits are complexly<br />

inherited, but with some overlap and some uniqueness in gene expression. In addition, several<br />

relatively major genes seem to stand out in expression with many minor genes presumably<br />

interacting or adding to <strong>the</strong> expression <strong>of</strong> <strong>the</strong> two traits. This study continues with two o<strong>the</strong>r mapping<br />

populations previously analyzed for dormancy. Ultimately, key QTLs will be identified, which<br />

should benefit <strong>the</strong> breeding efforts <strong>of</strong> both six-row and two-row barley for a suitable balance between<br />

<strong>the</strong> tendencies for preharvest sprouting and dormancy.<br />

* Corresponding author, e-mail address <br />

- 170 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Effects <strong>of</strong> ethylene in barley (Hordeum vulgare L.) tissue culture regeneration<br />

Jha, Ajay K. 1 , Lynn S. Dahleen 2 and Jeff C. Suttle 2<br />

1 Department <strong>of</strong> Plant Sciences, North Dakota State University, Fargo, ND 58105. 2 USDA-ARS, Fargo, ND 58105<br />

Ethylene is a gaseous plant hormone that regulates numerous cellular processes from germination to<br />

flowering and senescence. It is produced under stress conditions such as tissue culture and can be<br />

physiologically significant in-vitro due to enclosed conditions. This study was conducted to<br />

determine genotype-dependent ethylene production and its role in regeneration <strong>of</strong> barley (Hordeum<br />

vulgare L.) callus. Six barley cultivars were examined and found to produce different amounts <strong>of</strong><br />

ethylene during culture. The highest regeneration was observed in cultivars generating <strong>the</strong> most<br />

ethylene. Ethylene production was correlated with regeneration rates (r 2 = 0.90625). There were no<br />

significant genotype by stage interactions for ei<strong>the</strong>r ethylene production or green plant regeneration.<br />

The media was modified by adding <strong>the</strong> ethylene precursor, ACC (1-amino-cyclopropane-1carboxylic<br />

acid) or <strong>the</strong> ethylene antagonist silver nitrate (AgNO3) to <strong>the</strong> media at different stages <strong>of</strong><br />

callus culture to determine <strong>the</strong> effects <strong>of</strong> ethylene during plant regeneration. Highest regeneration in<br />

Morex was observed when AgNO3 was added to maintenance stages (M-1, M-2) and lowest<br />

regeneration when AgNO3 was applied to <strong>the</strong> regeneration stage compared to <strong>the</strong> control. In Golden<br />

Promise, AgNO3 added throughout <strong>the</strong> second maintenance and regeneration stages showed <strong>the</strong><br />

highest regeneration compared to control. Regeneration was significantly affected with addition <strong>of</strong><br />

ACC in Morex and highest when ACC was added at <strong>the</strong> second maintenance stage. Golden Promise<br />

did not show improved regeneration when ACC was added at any time. Regeneration was highest for<br />

<strong>the</strong> control. Fur<strong>the</strong>r manipulation <strong>of</strong> ethylene syn<strong>the</strong>sis and/or action will be used to identify critical<br />

timing and duration for ethylene to effects on plant regeneration from recalcitrant genotypes.<br />

Ethylene exposure for briefer time periods will help pinpoint <strong>the</strong> specific stages when ethylene<br />

should be manipulated.<br />

Corresponding author: Lynn Dahleen<br />

e-mail: dahleenl@fargo.ars.usda.gov<br />

- 171 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Validation <strong>of</strong> select diastatic power QTL in elite Western U. S. six-rowed<br />

spring barley germplasms<br />

D. H<strong>of</strong>fman, A. Hang, and D. Obert<br />

USDA-ARS Small Grains and Potato Germplasm Facility, 1691 South 2700 West Aberdeen, Idaho 83210<br />

<strong>Barley</strong> is a major commodity in <strong>the</strong> western US., especially when utilized for malt production. Spring<br />

six-rowed barley germplasm adapted to <strong>the</strong> western US. is <strong>of</strong>ten low in diastatic power (DP), an<br />

important malting trait. DP quantitative trait loci (QTL) and linked markers have been identified in a<br />

spring six-rowed mapping population grown in western environments, but <strong>the</strong>se QTL have not been<br />

validated in elite western six-rowed backgrounds and <strong>the</strong> QTL are based on restriction fragment<br />

length polymorphism (RFLP) markers. The objectives <strong>of</strong> this study were to validate DP QTL in<br />

populations containing elite western germplasm and to identify polymerase chain reaction (PCR) -<br />

based markers linked to select DP QTL.<br />

Low DP spring six-rowed cultivars or elite lines were crossed to ‘Morex’, a high DP 6-rowed barley,<br />

or to SM#42, a high DP line <strong>of</strong> <strong>the</strong> ‘Steptoe’/Morex mapping population. . F1 plants were<br />

backcrossed to <strong>the</strong> adapted, low DP lines two or three times, and segregating lines were developed<br />

from <strong>the</strong> backcrossed populations. The low DP parents and backcross-derived segregating lines were<br />

genotyped with PCR-based markers closely aligned to five DP QTL with large effects on<br />

chromosomes 1H, 4H, and 7H. Lines homozygous for <strong>the</strong> PCR-based markers and parental checks<br />

were planted in 4-m rows at Aberdeen, ID. Quality analysis to determine DP levels was performed<br />

by <strong>the</strong> Cereal Crops Research Unit, Madison, WI. Nearly all <strong>the</strong> low DP parental lines had marker<br />

alleles that resembled ei<strong>the</strong>r Steptoe or Morex with regard to DNA fragment size. Two lines from<br />

Utah State University had DP-negative marker alleles for all loci except <strong>the</strong> one on <strong>the</strong> short arm <strong>of</strong><br />

chromosome 4H. Some had more DP-positive alleles with a few DP-negative alleles, while o<strong>the</strong>rs<br />

had similar numbers <strong>of</strong> DP-positive and DP-negative alleles. Also, some heterogeneity within lines<br />

was detected. We plan to determine if relationships between marker genotype and DP can be<br />

identified in <strong>the</strong> advanced populations and if o<strong>the</strong>r traits are affected by DP marker selection. This<br />

study should provide useful information for <strong>the</strong> development <strong>of</strong> six-rowed malting barleys in <strong>the</strong><br />

western U.S.<br />

- 172 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

The barley stem rust resistance gene product RPG1 is specifically degraded<br />

upon infection with <strong>the</strong> stem rust fungus Puccinia graminis f. sp. tritici<br />

pathotype MCC<br />

J. Nirmala1 , B. Steffenson2 and A. Kleinh<strong>of</strong>s1& 3*<br />

1 Department <strong>of</strong> Crop and Soil Sciences Washington State University, Pullman, WA-99164-USA<br />

2 Department <strong>of</strong> Plant Pathology, University <strong>of</strong> Minnesota, St Paul, MN 55108, USA<br />

3 School <strong>of</strong> Molecular Biosciences, Washington State University, Pullman, WA 99164, USA<br />

Disease resistance in plants, mediated by <strong>the</strong> gene-for-gene mechanism, involves <strong>the</strong> direct or<br />

indirect recognition by <strong>the</strong> R-gene product <strong>of</strong> specific effector molecules produced by <strong>the</strong> pathogen.<br />

This recognition triggers a series <strong>of</strong> signals regulating an elaborate series <strong>of</strong> defense mechanisms by<br />

<strong>the</strong> plant. In order to understand <strong>the</strong> role <strong>of</strong> <strong>the</strong> recently cloned barley stem rust resistance gene<br />

product RPG1 (Brueggeman et al. 2002) in resistance to <strong>the</strong> stem rust fungus Puccinia graminis f. sp.<br />

tritici, we investigated <strong>the</strong> fate <strong>of</strong> <strong>the</strong> RPG1 protein in response to infection with <strong>the</strong> P. graminis f.<br />

sp. tritici avirulent pathotype MCC. Different barley lines with varying levels <strong>of</strong> resistance were<br />

challenged with <strong>the</strong> avirulent pathotype MCC and sampled at 0, 12, 16, 20, 24 and 36h postinfection.<br />

The extracts were immuno-precipitated with an RPG1-specific antibody. The precipitate<br />

was subjected to SDS-PAGE, and RPG1 was visualized by western blot analysis. Though <strong>the</strong><br />

endogenous transcript levels <strong>of</strong> Rpg1 remained unchanged upon infection with <strong>the</strong> avirulent<br />

pathotype MCC (Rostoks et al. 2004), <strong>the</strong> RPG1 protein disappeared to undetectable levels 20-24h<br />

post-infection. The disappearance <strong>of</strong> <strong>the</strong> RPG1 protein was localized to <strong>the</strong> infected tissue and did<br />

not spread to <strong>the</strong> adjoining leaves. The RPG1 protein was shown to be stable in cyclohexamide<br />

translation inhibited leaves for up to 48 hrs. These results suggest that <strong>the</strong> localized disappearance <strong>of</strong><br />

RPG1 protein is due to proteolysis, probably by <strong>the</strong> avr-gene product. Since <strong>the</strong> mere absence <strong>of</strong> <strong>the</strong><br />

RPG1 protein does not result in resistance, <strong>the</strong> degradation products or <strong>the</strong> process <strong>of</strong> degradation<br />

may trigger <strong>the</strong> signaling resulting in resistance to <strong>the</strong> stem rust infection.<br />

- 173 -<br />

* andyk@wsu.edu Tel: 1-509-335-4389


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Saturation mapping <strong>of</strong> barley chromosome 2H Fusarium head blight<br />

resistance QTL<br />

Christina Maier 1 , Deric Schmierer 1 , Thomas Drader 1 , Richard Horsley 2 , and Andris Kleinh<strong>of</strong>s 1,3<br />

1 Dept. <strong>of</strong> Crop and Soil Sciences, Washington State University, Pullman, WA 99164-6420, USA<br />

2 Dept. <strong>of</strong> Plant Sciences, North Dakota State University, Fargo, ND 58105-5051, USA<br />

3 School <strong>of</strong> Molecular Biosciences, Washington State University, Pullman, WA 99164-4660, USA<br />

Outbreaks <strong>of</strong> fusarium head blight (FHB), caused by Fusarium graminearum, within <strong>the</strong> past two<br />

decades have caused large economic losses to farmers in North Dakota and northwestern Minnesota<br />

due to <strong>the</strong> reduced quality <strong>of</strong> harvested barley by blighted kernels and significant levels <strong>of</strong><br />

deoxynivalenol (DON), a mycotoxin produced by <strong>the</strong> fungus. Field practices and chemical control<br />

have had limited success, putting greater importance on a genetic approach for control. Two<br />

quantitative trait loci (QTL) each for lower FHB severity and plant height, and one major QTL each<br />

for DON accumulation and days to heading were mapped with recombinant inbred lines obtained<br />

from a cross between CIho 4196, a two-rowed resistant cultivar, and Foster, a six-rowed susceptible<br />

cultivar (Horsley et al., submitted). These loci reside in <strong>the</strong> barley chr. 2H region flanked by <strong>the</strong><br />

markers ABG306 and MWG882A (bins 8-10). In an attempt to saturate this region with markers, 29<br />

rice chr. 4 BAC clones with synteny to this region were blasted against <strong>the</strong> barley expressed<br />

sequence tag (EST) database. To date, 41 <strong>of</strong> <strong>the</strong> ESTs picked by this method have been mapped to<br />

this region. Nine o<strong>the</strong>r genes, identified based on microarray analysis <strong>of</strong> <strong>the</strong> wheat-barley 2HL<br />

addition line and comparison to Betzes and Chinese Spring controls (courtesy <strong>of</strong> Gary Muehlbauer),<br />

were also mapped to this region on <strong>the</strong> Foster x CIho 4196 RFLP map. To date, <strong>the</strong>re are a total <strong>of</strong><br />

26 unique loci and 67 markers in this major FHB QTL region on chr. 2. Eighteen markers have been<br />

hybridized to <strong>the</strong> 6x cv. Morex barley BAC library, identifying 131 BAC clones as part <strong>of</strong> <strong>the</strong><br />

physical map <strong>of</strong> <strong>the</strong> region. Three cleaved amplified polymorphic sequences (CAPS) markers were<br />

designed for <strong>the</strong> major FHB resistance QTL in this region, two flanking and one in <strong>the</strong> middle, to aid<br />

in development <strong>of</strong> isolines containing fragments <strong>of</strong> this region from CIho 4196 in a Morex cultivar<br />

background.<br />

Christina Maier: cmaier@wsu.edu<br />

- 174 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Map-based cloning efforts <strong>of</strong> <strong>the</strong> barley spot blotch resistance gene Rcs5<br />

Thomas B Drader1 , Kara A Johnson2 , Robert S Brueggeman1 , Hye Ran Kim3 , Dave Kudrna3 , Rod Wing3 ,<br />

Brian Steffeson4 , and Andris Kleinh<strong>of</strong>s1, 5<br />

1 Crop and Soil Science, Washington State University, Pullman, WA 99164, USA<br />

2 USDA, Washington State University, Pullman, WA 99164, USA<br />

3 Plant Sciences Department University <strong>of</strong> Arizona, , Tucson, AZ 85721-0036, USA<br />

4 Department <strong>of</strong> Plant Pathology, University <strong>of</strong> Minnesota, St. Paul, MN 55108-6030, USA<br />

5 Molecular Biosciences, Washington State University, Pullman, WA 99164, USA<br />

The Rcs5 gene confers seedling resistance to barley spot blotch, caused by <strong>the</strong> fungus Cochliobolus<br />

sativus. Spot blotch is a common and economically important foliar disease <strong>of</strong> barley in <strong>the</strong><br />

Midwestern United States. Genetic mapping localized <strong>the</strong> resistance gene between <strong>the</strong> markers<br />

MWG622 and KAJ154 on <strong>the</strong> short arm <strong>of</strong> chromosome 1(7H). A BAC clone physical contig was<br />

constructed consisting <strong>of</strong> 4 clones, 053N3, 612G14, 452P9, and 808M17. Subclone shotgun libraries<br />

<strong>of</strong> BAC clones 612G14 and 808M17 were constructed and sequenced by <strong>the</strong> Arizona Genomics<br />

Institute. Sequence assembly resulted in 25 contigs ranging from 1kb to 28.5kb for 808M17 and 7<br />

contigs ranging from 0.6kb to 63.7kb for 612G14. Analysis <strong>of</strong> <strong>the</strong> contigs' sequence by a gene<br />

prediction program (FGENESH) with limits within monocot genomic DNA yielded 40 putative<br />

genes, 22 with protein homology. Of <strong>the</strong> 22 protein hits, 19 had equivalent Triticeae EST's. The<br />

BAC contig overlap between 612G14 and 452P9 as well as <strong>the</strong> overlap between 452P9 and 808M17<br />

left an unsequenced gap <strong>of</strong> ~15kb. The BAC 452P9 38kb NotI subclone, TBD001, covers this region<br />

and contains markers KAJ108B.2 and KAJ154, which flank a high recombination region with 11<br />

crossovers and potentially <strong>the</strong> Rcs5 gene. The subclone TBD001 sequencing is in progress. Physical<br />

and genetic mapping <strong>of</strong> predicted genes will delimit <strong>the</strong> region <strong>of</strong> interest. Putative candidate genes<br />

will be sequenced from resistant and susceptible cultivars.<br />

- 175 -<br />

Corresponding author: tdrader@wsu.edu


Session 5: Biotechnology and Genomics – Poster abstracts<br />

A gene tagging system for Hordeum vulgare<br />

François Eudes 1* , André Laroche 1 , Michele Frick 1 , Jennifer Geddes 1 and Laurian Robert 2<br />

Agriculture and Agri-Food Canada, 1 Lethbridge Research Centre, Lethbridge, Alberta T1J 4B1, Canada and 2 Eastern Cereal and<br />

Oilseed Research Centre, Ottawa, Ontario K1A 0C6, Canada<br />

An efficient system for production <strong>of</strong> knockout plants for functional analysis and gene tagging in<br />

cereals would be a significant complement to current cereal genome analyses. Tos17, a rice<br />

retrotransposon activated by tissue culture, has been successfully used for generation <strong>of</strong> knockout<br />

plants in rice. More recently, it was reported that Tos17 insertions were predominately located<br />

within coding sequences and thus provide a unique system to develop knockout plants at a relatively<br />

high frequency. Retrotransposons have <strong>the</strong> advantage over o<strong>the</strong>r transposon systems <strong>of</strong> yielding<br />

stable mutations and low copy numbers which facilitate <strong>the</strong> identification <strong>of</strong> genes. Using a novel<br />

approach that enables <strong>the</strong> cultivar-independent regeneration <strong>of</strong> fertile monocots, transgenic barley T0<br />

was efficiently obtained, and confirmed by sou<strong>the</strong>rn blot. Results suggest that Tos17 is a very<br />

efficient system to generate knockout plants in cereals. Under vegetative growth, <strong>the</strong> integrated rice<br />

retrotransposon Tos 17 is inactive based on <strong>the</strong> absence <strong>of</strong> retrotransposase activity in barley leaves<br />

and stems. Under tissue culture conditions, <strong>the</strong> retrotransposase activity was stimulated and readily<br />

detected via a reverse transcription-PCR assay. A modification in <strong>the</strong> number <strong>of</strong> Tos17 copies in<br />

barley genomic DNA (from callus tissues) was detected. We also regenerated fertile plants C0, from<br />

4-5 months callus culture, with novel Tos17 insertion sites. Using real time PCR, we report an<br />

increased copy number in C0 barley genome, and new phenotype in <strong>of</strong>fspring C1. We will discuss <strong>the</strong><br />

advantages <strong>of</strong> this new system for development <strong>of</strong> knockout plants in cereals and possible impact for<br />

genomic studies in barley.<br />

*Corresponding author: eudesf@em.agr.ca<br />

- 176 -


Session 5: Biotechnology and Genomics – Poster abstracts<br />

Unraveling <strong>the</strong> mysteries <strong>of</strong> germination using SAGE (Serial Analysis <strong>of</strong><br />

Gene Expression)<br />

Toni Pacey-Miller, Jessica White, Allison Crawford, Peter Bundock, Giovanni Cordeiro, Daniel Barbary and<br />

Robert Henry<br />

Grain Foods CRC, Ltd., Centre for Plant Conservation Genetics, Sou<strong>the</strong>rn Cross University, Lismore Australia 2480<br />

The processes involved in malting are still somewhat a mystery on a genetic level. SAGE (Serial<br />

Analysis <strong>of</strong> Gene Expression) is a technique that allows rapid, detailed analysis <strong>of</strong> thousands <strong>of</strong><br />

transcripts in a cell. The process <strong>of</strong> SAGE relies on two principles. Firstly, a small sequence <strong>of</strong><br />

nucleotides from <strong>the</strong> transcript, called a “tag” can effectively identify <strong>the</strong> original transcript from<br />

whence it came. Secondly, linking <strong>the</strong>se tags allows rapid sequencing analysis <strong>of</strong> multiple transcripts.<br />

By examining <strong>the</strong> transcripts expressed at any time in <strong>the</strong> cell it is possible to determine which genes<br />

and <strong>the</strong>ir related proteins are being expressed at that moment in time. In this study <strong>the</strong> gene<br />

expression pr<strong>of</strong>ile <strong>of</strong> germinating (malting) barley is being examined at seven intervals over a time<br />

course <strong>of</strong> 120 hours post steeping. This will be compared to a baseline <strong>of</strong> dry ungerminated seed. The<br />

identification <strong>of</strong> genes for improved malting quality can be identified and examined using SAGE and<br />

ultimately used for commercial improvement.<br />

- 177 -<br />

E-mail: tpacey@scu.edu.au


Shafeek Ali<br />

Alberta Agriculture, Food & Rural Development<br />

Farm and Rural Programs Branch<br />

E-mail: shafeek.ali@gov.ab.ca<br />

John Allen<br />

FOSS<br />

E-mail: jallen@fossnorthamerica.com<br />

Jim Anderson<br />

Agricore United / Proven Seed<br />

E-mail: janderson2@agricoreunited.com<br />

Anthony Anyia<br />

Alberta Research Council<br />

Environmental Technologies<br />

E-mail: anyia@arc.ab.ca<br />

Ed Armstrong<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: bettyed@telusplanet.net<br />

Erin Armstrong<br />

Brewing and Malting <strong>Barley</strong> Research Institute<br />

E-mail: earmstrong@bmbri.ca<br />

Monica Baga<br />

University <strong>of</strong> Saskatchewan<br />

Department <strong>of</strong> Plant Sciences<br />

E-mail: monica.baga@usask.ca<br />

Byung-Kee Baik<br />

Washington State University<br />

Dept. <strong>of</strong> Crop and Soil Sciences<br />

E-mail: bbaik@wsu.edu<br />

Darren Barber<br />

Quality Assured Seeds<br />

E-mail: dbarber@qas-online.com<br />

Phil Bregitzer<br />

U.S. Dept. <strong>of</strong> Agriculture, Agricultural Research<br />

Service<br />

National Small Grain Germplasm Research Facility<br />

E-mail: pbregit@uidaho.edu<br />

Participants<br />

Participants<br />

- 178 -<br />

Wynse Brooks<br />

Virginia Polytechnic and State University<br />

Crop & Soil Environmental Sciences Dept.<br />

E-mail: wybrooks@vt.edu<br />

Peter Burnett<br />

<strong>Canadian</strong> Grain Commissin<br />

Grain Research Lab<br />

E-mail: pburnett@grainscanada.gc.ca<br />

Giselle Camm<br />

University <strong>of</strong> Saskatchewan<br />

E-mail: giselle.camm@usask.ca<br />

Flavio Capettini<br />

CIMMYT / ICARDA<br />

Mexico<br />

E-mail: f.capettini@cgiar.org<br />

Bill Chapman<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: bill.chapman@gov.ab.ca<br />

Ravindra Chibbar<br />

University <strong>of</strong> Saskatchewan<br />

Department <strong>of</strong> Plant Sciences<br />

E-mail: ravi.chibbar@usask.ca<br />

Dale Clark<br />

Western Plant Breeders<br />

E-mail: dclark@westbred.com<br />

George Clayton<br />

Agriculture & Agri-Food Canada<br />

Lacombe Research Centre<br />

E-mail: claytong@agr.gc.ca<br />

Blake Cooper<br />

Busch Agricultural Resources Inc.<br />

E-mail: blake.cooper@anheuser-busch.com<br />

Lynn Dahleen<br />

USDA-ARS<br />

Red River Valley Agricultural Res. Ctr.<br />

E-mail: dahleenl@fargo.ars.usda.gov


Jim Downey<br />

SeCan Association<br />

E-mail: j.downey@sasktel.net<br />

Peter Eckstein<br />

University <strong>of</strong> Saskatchewan<br />

Department <strong>of</strong> Plant Sciences<br />

E-mail: peter.eckstein@usask.ca<br />

Mike Edney<br />

<strong>Canadian</strong> Grain Commission<br />

E-mail: medney@grainscanada.gc.ca<br />

Steven Edwardson<br />

North Dakota <strong>Barley</strong> Council<br />

E-mail: ndbarley@ndbarley.net<br />

Charles Erickson<br />

USDA - ARS<br />

E-mail: nsgcce@ars-grin.gov<br />

Patricia Fair<br />

Rahr Malting Canada Ltd.<br />

E-mail: pfair@rahr.com<br />

Clif Foster<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: cfoster@albertabarley.com<br />

Glen Fox<br />

Queensland Dept. <strong>of</strong> Primary Industries and Fisheries<br />

Australia<br />

E-mail: glen.fox@dpi.qld.gov.au<br />

Jennifer Geddes<br />

Agriculture & Agri-Food Canada<br />

and University <strong>of</strong> Lethbridge<br />

E-mail: jennifer.geddes@uleth.ca<br />

Blanca Gomez<br />

Laboratorio Tecnologico del Uruguay<br />

Uruguay<br />

E-mail: bgomez@latu.org.uy<br />

Mike Grenier<br />

<strong>Canadian</strong> Wheat Board<br />

E-mail: mike_grenier@cwb.ca<br />

Participants<br />

- 179 -<br />

Tajinder Grewal<br />

University <strong>of</strong> Saskatchewan<br />

Dept. <strong>of</strong> Plant Sciences<br />

E-mail: tajinder.grewal@usask.ca<br />

Richard Groven<br />

North Dakota <strong>Barley</strong> Council<br />

E-mail: ndbarley@ndbarley.net<br />

Russell Gwozdz<br />

Rahr Malting Canada<br />

E-mail: rgwozdz@rahr.com<br />

Alan Hall<br />

Alberta Agricultural Research Institute<br />

E-mail: alan.hall@gov.ab.ca<br />

Neil Harker<br />

Agriculture & Agri-Food Canada<br />

Lacombe Research Centre<br />

E-mail: harkerk@agr.gc.ca<br />

Scott Heisel<br />

American Malting <strong>Barley</strong> Association<br />

E-mail: sheisel@execpc.com<br />

Jim Helm<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: james.helm@gov.ab.ca<br />

Cynthia Henson<br />

USDA, ARS, MWA, Cereal Crops Research Unit<br />

Department <strong>of</strong> Agronomy, University <strong>of</strong> Wisconsin<br />

E-mail: cahenson@wisc.edu<br />

Andrea Hilderman<br />

<strong>Canadian</strong> Wheat Board<br />

E-mail: andrea.hilderman@cwb.ca<br />

David H<strong>of</strong>fman<br />

USDA - ARS<br />

E-mail: dh<strong>of</strong>fman@uidaho.edu<br />

Lee Jackson<br />

University <strong>of</strong> California<br />

Dept. <strong>of</strong> Plant Sciences<br />

E-mail: lfjackson@ucdavis.edu


Ian John<br />

Rahr Malting Canada Ltd.<br />

E-mail: ijohn@rahr.com<br />

Ian Johnson<br />

University <strong>of</strong> Alberta<br />

E-mail: ijohnson@ualberta.ca<br />

Berne Jones<br />

E-mail: bhjones@bmi.net<br />

Rich Joy<br />

Rahr Malting Canada<br />

E-mail: rjoy@rahr.com<br />

Patricia Juskiw<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: patricia.juskiw@gov.ab.ca<br />

Andris Kleinh<strong>of</strong>s<br />

Washington State University<br />

Dept. <strong>of</strong> Crop and Soil Sciences<br />

E-mail: andyk@wsu.edu<br />

Krishan Kumar<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: krishan.kumar@gov.ab.ca<br />

Nora Lapitan<br />

Colorado State University<br />

E-mail: nlapitan@lamar.colostate.edu<br />

Seonghee Lee<br />

North Dakota State University<br />

E-mail: seonghee.lee@ndsu.edu<br />

Bill Legge<br />

Agriculture & Agri-Food Canada<br />

Brandon Research Centre<br />

E-mail: blegge@agr.gc.ca<br />

Yueshu Li<br />

<strong>Canadian</strong> Malting <strong>Barley</strong> Technical Centre<br />

E-mail: yli@cmbtc.com<br />

Kavitha Madishetty<br />

University <strong>of</strong> California Riverside<br />

E-mail: kavithak@ucr.edu<br />

Participants<br />

- 180 -<br />

Linda Malcolmson<br />

<strong>Canadian</strong> International Grains Institute<br />

E-mail: lmalcolmson@cigi.ca<br />

Laurie Marinac<br />

USDA-ARS<br />

Cereal Crops Research Unit, Wisconsin<br />

E-mail: lmarinac@wisc.edu<br />

Douglas McBain<br />

Western <strong>Barley</strong> Growers Association<br />

E-mail: dmcbain@<strong>the</strong>rockies.ca<br />

Robert McCaig<br />

<strong>Canadian</strong> Malting <strong>Barley</strong> Technical Centre<br />

E-mail: rmccaig@cmbtc.com<br />

Wayne McProud<br />

Plant Breeders 1 Inc.<br />

E-mail: PB1@moscow.com<br />

Shipra Mittal<br />

North Dakota State University<br />

E-mail: mittals_2001@yahoo.com<br />

Do Mornhinweg<br />

USDA-ARS<br />

Oklahoma<br />

E-mail: do.mornhinweg@ars.usda.gov<br />

Al Morris<br />

Agricore United<br />

E-mail: amorris@agricoreunited.com<br />

Gary Muehlbauer<br />

University <strong>of</strong> Minnesota<br />

E-mail: muehl003@umn.edu<br />

Stephen Neate<br />

North Dakota State University<br />

E-mail: stephen.neate@ndsu.edu<br />

Jesper Nielsen<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: kryger@telusplanet.net


Joseph Nyachiro<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: joseph.Nyachiro@gov.ab.ca<br />

Lori Oatway<br />

Field Crop Development Centre<br />

E-mail: lori.oatway@gov.ab.ca<br />

Don Obert<br />

USDA-ARS<br />

E-mail: dobert@uidaho.edu<br />

Brian Otto<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: botto@telusplanet.net<br />

Toni Pacey-Miller<br />

Centre for Plant Conservation Genetics<br />

Sou<strong>the</strong>rn Cross University, Australia<br />

E-mail: tpacey@scu.edu.au<br />

Anja Pekkarinen<br />

Miller Brewing Co.<br />

E-mail: pekkarinen.anja@mbco.com<br />

Hong Qi<br />

Centre for Agri-Industrial Technology<br />

Processing Division, Alberta Agriculture, Food &<br />

Rural Development<br />

E-mail: hong.qi@gov.ab.ca<br />

Blaine Recksiedler<br />

Saskatchewan Agriculture and Food<br />

E-mail: brecksiedler@agr.gov.sk.ca<br />

Jeff Reid<br />

SeCan Association<br />

E-mail: jreid@secan.com<br />

Brian Rossnagel<br />

Crop Development Centre<br />

University <strong>of</strong> Saskatchewan<br />

E-mail: brian.rossnagel@usask.ca<br />

Participants<br />

- 181 -<br />

Mark Schmitt<br />

USDA-ARS<br />

Cereal Crops Research Unit, Wisconsin<br />

E-mail: markschmitt@wisc.edu<br />

Linnea Skoglund<br />

Busch Agricultural Resources, Inc.<br />

E-mail: linnea.skoglund@anheuser-busch.com<br />

Kevin Smith<br />

University <strong>of</strong> Minnesota<br />

E-mail: smith376@umn.edu<br />

Yongliang Sun<br />

North Dakota State University<br />

E-mail: yongliang.sun@ndsu.edu<br />

Robert Sutton<br />

Rahr Malting Canada Ltd.<br />

E-mail: bsutton@rahr.com<br />

Andy Tekauz<br />

Agriculture & Agri-Food Canada<br />

Cereal Research Centre, Winnipeg<br />

E-mail: atekauz@agr.gc.ca<br />

Mario Therrien<br />

Agriculture & Agri-Food Canada<br />

Brandon Research Centre<br />

E-mail: m<strong>the</strong>rrien@agr.gc.ca<br />

Kelly Turkington<br />

Agriculture & Agri-Food Canada<br />

Lacombe Research Centre<br />

E-mail: turkingtonk@agr.gc.ca<br />

Steven Ullrich<br />

Washington State University<br />

Dept. <strong>of</strong> Crop and Soil Sciences<br />

E-mail: ullrich@wsu.edu<br />

Richard Ulmer<br />

Anheuser-Busch Inc.<br />

St. Louis<br />

E-mail: richard.ulmer@anheuser-busch.com


Participants<br />

Doug Voth Tom Zatorski<br />

Crop Development Centre Crop Development Centre<br />

University <strong>of</strong> Saskatchewan University <strong>of</strong> Saskatchewan<br />

E-mail: doug.voth@usask.ca E-mail: zatorski@sask.usask.ca<br />

Bruce Westlund Ruurd Zijlstra<br />

Busch Agricultural Resources Inc. University <strong>of</strong> Alberta<br />

E-mail: bruce.westlund@anheuser-busch.com Dept. <strong>of</strong> Agricultural, Food & Nutritional Sciences<br />

E-mail: ruurd.zijlstra@ualberta.ca<br />

Bob Wolfe<br />

Field Crop Development Centre<br />

(Retired)<br />

Peter Woloshyn<br />

Crop Diversification Division<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: peter.woloshyn@gov.ab.ca<br />

John Wozniak<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: jwoz.lakag@mcsnet.ca<br />

Les Wright<br />

Busch Agricultural Resources Inc.<br />

E-mail: les.wright@anheuser-busch.com<br />

Kequan Xi<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: kequan.xi@gov.ab.ca<br />

Rong-Cai Yang<br />

Alberta Agriculture, Food & Rural Development<br />

Policy Secretariat<br />

E-mail: rongcai.yang@gov.ab.ca<br />

Terry Young<br />

Alberta <strong>Barley</strong> Commission<br />

E-mail: tcyoung@yourlink.ca<br />

Jennifer Zantinge<br />

Field Crop Development Centre<br />

Alberta Agriculture, Food & Rural Development<br />

E-mail: jennifer.zantinge@gov.ab.ca<br />

- 182 -

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!