sclerotinia resistance and forecasting in canola · a single pen1 gene copy was inserted in the ....

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Things should start to get interestin’ right about nowAgriculture and Agri-Food Canada Agriculture et Agroalimentaire Canada Sclerotinia resistance and forecasting in canola Lone Buchwaldt Agriculture and Agri-Food Canada Saskatoon Research and Development Centre Canola Industry meeting December 4, 2017, Saskatoon

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  • ‘Things should start to get interestin’ right about now’

    Agriculture andAgri-Food Canada

    Agriculture et Agroalimentaire Canada

    Sclerotinia resistance and forecasting in canola

    Lone BuchwaldtAgriculture and Agri-Food Canada

    Saskatoon Research and Development Centre

    Canola Industry meetingDecember 4, 2017, Saskatoon

  • AAFC’s sclerotinia resistance team

    Jonathan Durkin

    Edis Dzananovic

    Myrtle Harrington

    Jackie Nettleton

    Linda McGregor

    Lone Buchwaldt

    Sally Vail

    Dwayne Hegedus

    Fuyou Fu

    VickyRoslinsky

    DineyBekkaoui

    Jennifer Adam

    MissingSanjaya GyawaliHarsh GargBrad Hope Todd Olsen Photo by Branimir Gjetvaj

  • We have developed tools for breeding sclerotinia resistant canola varieties

    ˛ Sclerotinia screening method - stem test

    ˛ Seed of resistant lines

    ˛Molecular markers linked to sclerotinia resistance

    ˛ Half way with transfer of sclerotinia resistance to canola quality

    ˛ Sclerotinia isolates representative of the Canadian population

    ˛ Cloned defence genes

    Contact Todd Olsen for transfer, licencing and/or collaboration [email protected]

  • Sclerotinia screening method – stem test

    The five traits are highly correlated

    1) Lesion length 7 dai

    2) Lesion length 14 dai

    3) Lesion length 21 dai

    4) AUDPC ∑ (Yi + Y (i+1) ) / 2 (t (i+1) – ti)

    where Yi is the disease rating at time ti

    5) % soft + collapsed lesions

    0 7 14 21 Days after inoculation

    Lesi

    on le

    ngth

    100

    75

    50

    25

    AUDPC

    Susceptible

    Resistant

    Most important measurements

    WCC/RRC adopted the stem test for coop lines with a claim of sclerotinia resistance

  • Line % of 45H29

    45H29 69 B 100 32 ABL160S - late 58 C 84 29 ABVR9561G 55 CD 80 27 B45S52 53 CD 77 26 BLSD = 8 8

    Lesion length 21dai, mm % s+c

    Line % of 45H29

    45H29 67 BC 100 35 BCL160S 73 B 109 42 ABVR9561G 60 CD 90 33 BC45S52 50 E 74 27 DLSD = 7 10

    Lesion length 21dai, mm

    % s+c

    Results of 7 sclerotinia stem tests in 2014.

    Results of 8 sclerotinia stem tests in 2015.

    Conclusion:L160S is non sign.VR9561G is non sign. 45S52 is significantly better for lesion length (26% reduction) and % soft + collapsed lesions

    Conclusion:L160S is sign for lesion length (16% reduction) VR9561G is sign for lesion length (20% reduction) 45S52 is sign for lesion length (23% reduction)

    Sclerotinia reaction in L160S and VR9561G is at the limit of what the stem test can pick up.Higher level of resistance is expected in the next generation of canola varieties.The stem test will be needed in the near future.

    Report on stem test evaluation (33 tests) available on Canola Council’s web sitehttp://research.canolacouncil.org/_uploads/documents/CanolaResearchHub_WCC-RRC_2016_Buchwaldt.pdf

  • Sclerotinia resistant Brassica napus lines

    PAK54 (Pakistan)PAK93 (Pakistan)DC21 (South Korea)K22 (Japan)

    Request the germplasm! ‘Don’t Think Twice, It’s All Right’

    10 Material Transfer Agreements have been signed since 2014

    High glucosinolate and erucic acid

  • SNP markers linked to sclerotinia resistance

    Bi-parental mapping populations A-genome C-genome Resistance loci

    PAK54 A3, A6, A9, A10 C1, C6 7

    PAK93 A5, A7 C2, C5, C6, C7 6

    DC21 A1, A3 C5 3

    K22

    Zhongyou 821 A1, A3, A5, A6, A7, A9 C1, C2, C3, C6, C9 11

    A world collection of 180 B. napus accessions

    A1, A2, A3, A6, A7, A8, A9, A10

    C1, C2, C3, C4, C5, C6, C7, C9 114

    In progress

    Needed for marker-assisted-selection of progenies in various generations

    Microsatellite markers are published in Gyawali et al. 2016, Mol Breeding, 36:72-85.

    SNP markers will be published in 2018

    Sheet1

    Bi-parental mapping populationsA-genomeC-genomeResistance loci

    PAK54 A3, A6, A9, A10C1, C67

    PAK93 A5, A7C2, C5, C6, C76

    DC21 A1, A3C53

    K22 In progress

    Zhongyou 821 A1, A3, A5, A6, A7, A9C1, C2, C3, C6, C911

    A world collection of 180 B. napus accessionsA1, A2, A3, A6, A7, A8, A9, A10C1, C2, C3, C4, C5, C6, C7, C9114

    Sheet2

    Sheet3

  • Transfer of sclerotinia resistance to canola quality background, good agronomy and yield

    Seed of the best lines are available throughout the project

    SNP-markers have been validated and used in practise

    A successful breeding strategy

    Sclerotinia isolates used for inoculation: #321, MB51 and AB29

    2013 PAK54 (resistant) x N99-508 (canola quality)2014 F1 backcrossed to N99-508

    Plants selected based on SNP markers2015 1st DH population 2016 Agronomy, seed quality

    Sclerotinia test 1st inter-cross of DH sister lines based on traits and SNP markers

    2017 Agronomy, seed quality, yield Sclerotinia test 2nd DH population

    2018 Agronomy, seed quality, yield Sclerotinia test

    2019 2nd inter-cross of DH sister lines based on traits and SNP markers Agronomy, seed quality, yield Sclerotinia test

    2020 3rd DH population Plants selected based on SNP markers Agronomy, seed quality, yield Sclerotinia test

    2021 Agronomy, seed quality, yield Sclerotinia test

    2022 Agronomy, seed quality, yield Sclerotinia test

    2023 Project ends March 31

    population developmentmarker-assisted-selectionfield plotsStem inoculation

    QTLs

    Bi-parental mapping populationsA-genomeC-genomeResistance loci

    PAK54 (Pakistan)A3, A6, A9, A10C1, C67

    PAK93 (Pakistan)A5, A7C2, C5, C6, C76

    DC21 (South Korea)A1, A3C53

    K22 (Japan)In progress

    Zhongyou 821 (China) A1, A3, A5, A6, A7, A9C1, C2, C3, C6, C911

    A world collection of 180 B. napus accessionsA1, A2, A3, A6, A7, A8, A9, A10C1, C2, C3, C4, C5, C6, C7, C9114

    cloned genes

    Genes cloned from Zhongyou

    GenesFunction in host resistanceReduction in sclerotinia severity

    Hevein, lectin likePathogen recognition and binding40-50%

    Lectin, concanavalin20-50%

    Lectin, curculin40%

    AnnexinTrafficking and organization of vesicles, exocytosis, endocytosis, calcium ion channel formation30-40%

    WRKY33Regulation of gene transcription20-30%

    O-methyl transferaseGlucosinolate pathwaySmall inconsistant effect

    PGIPInhibitor of fungal polygalacturonaseNo effect

    check list

    Twengström et al. 1989Canadian research 2018-2023App maintained 2023 onward

    1. mm rainfall in the past 14 daysIn-depth survey of ~400 canola fields over 5 growing seasons will capture relationships between different rainfall patterns and the other risk factorsWeather data and analysis belong to WIN

    2. Likelihood of rain in weather forecast

    3. Number of years since last canola crop Conclusions regarding the in-depth survey is public information

    4. Sclerotinia level in last canola crop

    5. Plant density

    6. Regional apothecia germination Who will continue this service?

    Breeding plan

    2013 PAK54 (resistant) x N99-508 (canola quality)population development

    2014 F1 backcrossed to N99-508marker-assisted-selection

    Plants selected based on SNP markersfield plots

    2015 1st DH population Stem inoculation

    2016 Agronomy, seed quality

    Sclerotinia test

    1st inter-cross of DH sister lines based on traits and SNP markers

    2017 Agronomy, seed quality, yield

    Sclerotinia test

    2nd DH population

    2018 Agronomy, seed quality, yield

    Sclerotinia test

    2019 2nd inter-cross of DH sister lines based on traits and SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2020 3rd DH population

    Plants selected based on SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2021 Agronomy, seed quality, yield

    Sclerotinia test

    2022 Agronomy, seed quality, yield

    Sclerotinia test

    2023 Project ends March 31

    QTLs

    Bi-parental mapping populationsA-genomeC-genomeResistance loci

    PAK54 (Pakistan)A3, A6, A9, A10C1, C67

    PAK93 (Pakistan)A5, A7C2, C5, C6, C76

    DC21 (South Korea)A1, A3C53

    K22 (Japan)In progress

    Zhongyou 821 (China) A1, A3, A5, A6, A7, A9C1, C2, C3, C6, C911

    A world collection of 180 B. napus accessionsA1, A2, A3, A6, A7, A8, A9, A10C1, C2, C3, C4, C5, C6, C7, C9114

    cloned genes

    Genes cloned from Zhongyou

    GenesFunction in host resistanceReduction in sclerotinia severity

    Hevein, lectin likePathogen recognition and binding40-50%

    Lectin, concanavalin20-50%

    Lectin, curculin40%

    AnnexinTrafficking and organization of vesicles, exocytosis, endocytosis, calcium ion channel formation30-40%

    WRKY33Regulation of gene transcription20-30%

    O-methyl transferaseGlucosinolate pathwaySmall inconsistant effect

    PGIPInhibitor of fungal polygalacturonaseNo effect

    check list

    Twengström et al. 1989Canadian research 2018-2023App maintained 2023 onward

    1. mm rainfall in the past 14 daysIn-depth survey of ~400 canola fields over 5 growing seasons will capture relationships between different rainfall patterns and the other risk factorsWeather data and analysis belong to WIN

    2. Likelihood of rain in weather forecast

    3. Number of years since last canola crop Conclusions regarding the in-depth survey is public information

    4. Sclerotinia level in last canola crop

    5. Plant density

    6. Regional apothecia germination Who will continue this service?

    Breeding plan

    2013 PAK54 (resistant) x N99-508 (canola quality)population development

    2014 F1 backcrossed to N99-508marker-assisted-selection

    Plants selected based on SNP markersfield plots

    2015 1st DH population Stem inoculation

    2016 Agronomy, seed quality

    Sclerotinia test

    1st inter-cross of DH sister lines based on traits and SNP markers

    2017 Agronomy, seed quality, yield

    Sclerotinia test

    2nd DH population

    2018 Agronomy, seed quality, yield

    Sclerotinia test

    2019 2nd inter-cross of DH sister lines based on traits and SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2020 3rd DH population

    Plants selected based on SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2021 Agronomy, seed quality, yield

    Sclerotinia test

    2022 Agronomy, seed quality, yield

    Sclerotinia test

    2023 Project ends March 31

  • Isolates were collected across the Prairies

    DNA fingerprinting identified 17 sub-populations

    Inoculation with 17 representative isolates showed PAK54 has the highest level of resistance across isolates

    Isolates SK35 and AB29 are more aggressive on some lines (arrows)

    The 17 sclerotinia isolates are available from AAFC

    Sclerotinia isolates for resistance screening

    Chart1

    AB7AB7AB7AB7AB7AB710.510.50.70.7

    3213213213213213218.78.71.91.9

    AB3AB3AB3AB3AB3AB328.528.51515

    MB35MB35MB35MB35MB35MB3530.630.64.54.5

    MB57MB57MB57MB57MB57MB579.99.92.22.2

    SK35SK35SK35SK35SK35SK3512.912.918.418.4

    SK44SK44SK44SK44SK44SK4412.412.417.817.8

    MB21MB21MB21MB21MB21MB2119.519.515.515.5

    SK23SK23SK23SK23SK23SK2321.821.814.414.4

    MB52MB52MB52MB52MB52MB5212.112.119.519.5

    MB61MB61MB61MB61MB61MB617.47.44.34.3

    SK14SK14SK14SK14SK14SK145.45.49.19.1

    MB51MB51MB51MB51MB51MB5120.720.716.416.4

    SK38SK38SK38SK38SK38SK3812.312.322.422.4

    SK45SK45SK45SK45SK45SK4516.616.618.618.6

    AB19AB19AB19AB19AB19AB1929.829.825.325.3

    AB29AB29AB29AB29AB29AB2911.111.110.510.5

    Topas

    Tanto

    DC21

    K22

    PAK93

    PAK54

    Sclerotinia isolates

    Stem lesion length, mm

    35.3

    19

    10.2

    10.8

    16.6

    12.2

    54.2

    59.7

    42.7

    72.7

    37.1

    17.7

    109.8

    85.9

    110.5

    102.9

    38.4

    44.8

    145.3

    92.1

    63.3

    27.5

    67.8

    22.4

    160

    93.4

    114.3

    63.8

    47.2

    15.9

    132.1

    71.8

    185.4

    125.8

    57.1

    45.7

    141.2

    70.6

    49

    33.9

    63

    44.2

    164

    120.6

    124.2

    46

    121.7

    34.4

    179.6

    123

    66.3

    88.2

    78

    46.7

    182.2

    118.2

    78.4

    58.1

    71.9

    46.4

    185.5

    123.4

    115.6

    48

    75.8

    59.5

    214.8

    107.5

    87.9

    42.6

    70.4

    31.4

    223.4

    156.8

    101.3

    93.4

    79.9

    67

    191.2

    134.3

    158.5

    123.3

    78.6

    62.3

    203.8

    140.8

    128.3

    78.9

    103.6

    84.9

    208.8

    146

    159.3

    70.7

    137.9

    80.1

    209.4

    153

    212.9

    100

    126.1

    106.2

    Original

    Generated by the SAS System ('SASApp', W32_S08R2) on November 14, 2014 at 2:57:17 PM

    2014 disease nursery, 17 sclerotinia isolates on 6 B. npaus lines

    culVariableMeanStd DevStd Error

    DC21321les7d16.66.63.3

    DC21321les14d3115.57.8

    DC21321les21d42.722.111.1

    DC21321%S+C21.815.47.7

    DC21321AUDPCd30.414.97.5

    DC21AB19les7d56.214.27.1

    DC21AB19les14d93.14.82.4

    DC21AB19les21d159.319.910

    DC21AB19%S+C72.88.84.4

    DC21AB19AUDPCd100.59.34.7

    DC21AB29les7d64.417.48.7

    DC21AB29les14d11924.912.5

    DC21AB29les21d212.927.413.7

    DC21AB29%S+C84.24.22.1

    DC21AB29AUDPCd128.816.68.3

    DC21AB3les7d42.423.811.9

    DC21AB3les14d79.545.622.8

    DC21AB3les21d110.553.726.8

    DC21AB3%S+C59.535.317.7

    DC21AB3AUDPCd77.940.520.3

    DC21AB7les7d70.20.1

    DC21AB7les14d8.621

    DC21AB7les21d10.221

    DC21AB7%S+C000

    DC21AB7AUDPCd8.61.50.7

    DC21MB21les7d41.713.26.6

    DC21MB21les14d84.729.414.7

    DC21MB21les21d124.245.722.8

    DC21MB21%S+C56.824.312.2

    DC21MB21AUDPCd83.829.214.6

    DC21MB35les7d20.99.14.5

    DC21MB35les14d39.821.310.6

    DC21MB35les21d63.343.621.8

    DC21MB35%S+C32.919.39.7

    DC21MB35AUDPCd4123.811.9

    DC21MB51les7d33.311.25.6

    DC21MB51les14d68.532.916.5

    DC21MB51les21d101.351.125.6

    DC21MB51%S+C5432.116.1

    DC21MB51AUDPCd6831.815.9

    DC21MB52les7d2410.35.1

    DC21MB52les14d48.328.914.5

    DC21MB52les21d78.463.131.5

    DC21MB52%S+C31.621.911

    DC21MB52AUDPCd49.732.616.3

    DC21MB57les7d40.97.93.9

    DC21MB57les14d71.99.34.7

    DC21MB57les21d114.331.215.6

    DC21MB57%S+C53.25.92.9

    DC21MB57AUDPCd74.814.17.1

    DC21MB61les7d3716.48.2

    DC21MB61les14d80.144.922.5

    DC21MB61les21d115.670.535.3

    DC21MB61%S+C48.627.313.7

    DC21MB61AUDPCd78.243.521.7

    DC21SK14les7d296.83.4

    DC21SK14les14d53.718.99.5

    DC21SK14les21d87.925.512.8

    DC21SK14%S+C38.515.67.8

    DC21SK14AUDPCd56.116.98.4

    DC21SK23les7d26.716.48.2

    DC21SK23les14d44.828.914.4

    DC21SK23les21d66.339.920

    DC21SK23%S+C36.935.117.5

    DC21SK23AUDPCd45.628.214.1

    DC21SK35les7d56.315.98

    DC21SK35les14d95.173.5

    DC21SK35les21d185.420.910.4

    DC21SK35%S+C69.817.18.5

    DC21SK35AUDPCd1089.74.9

    DC21SK38les7d53.112.26.1

    DC21SK38les14d101.615.67.8

    DC21SK38les21d158.539.119.5

    DC21SK38%S+C80.413.46.7

    DC21SK38AUDPCd103.718.29.1

    DC21SK44les7d12.4105

    DC21SK44les14d26.524.412.2

    DC21SK44les21d4946.823.4

    DC21SK44%S+C16.119.29.6

    DC21SK44AUDPCd28.62613

    DC21SK45les7d48.584

    DC21SK45les14d85.520.510.3

    DC21SK45les21d128.330.215.1

    DC21SK45%S+C59.518.19

    DC21SK45AUDPCd86.918.49.2

    K22321les7d32.913.76.9

    K22321les14d49.723.511.8

    K22321les21d72.736.218.1

    K22321%S+C62.932.116.1

    K22321AUDPCd51.22412

    K22AB19les7d33.412.56.3

    K22AB19les14d5019.59.8

    K22AB19les21d70.729.414.7

    K22AB19%S+C48.318.49.2

    K22AB19AUDPCd5120.110.1

    K22AB29les7d344.32.1

    K22AB29les14d66.61.30.6

    K22AB29les21d10011.65.8

    K22AB29%S+C59.163

    K22AB29AUDPCd66.82.91.4

    K22AB3les7d42.317.48.7

    K22AB3les14d72.727.513.7

    K22AB3les21d102.939.319.7

    K22AB3%S+C62.330.815.4

    K22AB3AUDPCd72.727.613.8

    K22AB7les7d7.20.90.4

    K22AB7les14d9.72.31.2

    K22AB7les21d10.82.61.3

    K22AB7%S+C000

    K22AB7AUDPCd9.41.91

    K22MB21les7d24.35.22.6

    K22MB21les14d36.810.25.1

    K22MB21les21d4616.38.1

    K22MB21%S+C35.110.25.1

    K22MB21AUDPCd3610.25.1

    K22MB35les7d15.24.32.2

    K22MB35les14d23.411.45.7

    K22MB35les21d27.515.67.8

    K22MB35%S+C14.614.87.4

    K22MB35AUDPCd22.310.65.3

    K22MB51les7d40.713.56.7

    K22MB51les14d63.727.313.6

    K22MB51les21d93.448.724.4

    K22MB51%S+C61.323.611.8

    K22MB51AUDPCd65.429.114.6

    K22MB52les7d2620.110

    K22MB52les14d39.434.617.3

    K22MB52les21d58.16130.5

    K22MB52%S+C35.122.111.1

    K22MB52AUDPCd40.737.518.8

    K22MB57les7d27.88.34.2

    K22MB57les14d47.313.46.7

    K22MB57les21d63.821.710.8

    K22MB57%S+C50.115.37.6

    K22MB57AUDPCd46.514.17.1

    K22MB61les7d22.68.74.3

    K22MB61les14d37.818.29.1

    K22MB61les21d4824.912.4

    K22MB61%S+C23.819.49.7

    K22MB61AUDPCd36.517.48.7

    K22SK14les7d177.43.7

    K22SK14les14d3416.58.3

    K22SK14les21d42.624.512.3

    K22SK14%S+C26.222.211.1

    K22SK14AUDPCd31.9168

    K22SK23les7d32.617.78.8

    K22SK23les14d59.940.820.4

    K22SK23les21d88.259.929.9

    K22SK23%S+C51.833.917

    K22SK23AUDPCd60.23919.5

    K22SK35les7d55.129.114.6

    K22SK35les14d80.13417

    K22SK35les21d125.854.227.1

    K22SK35%S+C61.42211

    K22SK35AUDPCd85.337.618.8

    K22SK38les7d54.56.53.2

    K22SK38les14d89.314.87.4

    K22SK38les21d123.323.611.8

    K22SK38%S+C76.411.45.7

    K22SK38AUDPCd89.213.86.9

    K22SK44les7d12.27.83.9

    K22SK44les14d25.219.89.9

    K22SK44les21d33.929.814.9

    K22SK44%S+C20.82512.5

    K22SK44AUDPCd24.119.29.6

    K22SK45les7d34.615.37.7

    K22SK45les14d58.219.89.9

    K22SK45les21d78.926.813.4

    K22SK45%S+C46.124.912.5

    K22SK45AUDPCd57.52010

    PAK54321les7d13.74.52.3

    PAK54321les14d16.26.53.3

    PAK54321les21d17.73.81.9

    PAK54321%S+C2.42.81.4

    PAK54321AUDPCd15.95.32.7

    PAK54AB19les7d34.17.83.9

    PAK54AB19les14d58.52713.5

    PAK54AB19les21d80.150.625.3

    PAK54AB19%S+C482613

    PAK54AB19AUDPCd57.827.813.9

    PAK54AB29les7d38.411.25.6

    PAK54AB29les14d76.216.28.1

    PAK54AB29les21d106.22110.5

    PAK54AB29%S+C55.716.68.3

    PAK54AB29AUDPCd74.215.77.8

    PAK54AB3les7d21.713.36.6

    PAK54AB3les14d34.321.610.8

    PAK54AB3les21d44.83015

    PAK54AB3%S+C20.92311.5

    PAK54AB3AUDPCd33.821.510.8

    PAK54AB7les7d9.91.30.7

    PAK54AB7les14d11.81.10.6

    PAK54AB7les21d12.21.40.7

    PAK54AB7%S+C2.44.82.4

    PAK54AB7AUDPCd11.41.30.6

    PAK54MB21les7d18.373.5

    PAK54MB21les14d28.520.910.4

    PAK54MB21les21d34.43115.5

    PAK54MB21%S+C7.214.37.2

    PAK54MB21AUDPCd27.419.910

    PAK54MB35les7d16.66.33.1

    PAK54MB35les14d21.494.5

    PAK54MB35les21d22.494.5

    PAK54MB35%S+C6.47.43.7

    PAK54MB35AUDPCd20.48.34.2

    PAK54MB51les7d28.95.32.6

    PAK54MB51les14d47.616.28.1

    PAK54MB51les21d6732.816.4

    PAK54MB51%S+C46.224.912.4

    PAK54MB51AUDPCd47.817.48.7

    PAK54MB52les7d22.78.84.4

    PAK54MB52les14d32.518.39.2

    PAK54MB52les21d46.43919.5

    PAK54MB52%S+C23.124.312.1

    PAK54MB52AUDPCd33.520.910.4

    PAK54MB57les7d13.83.81.9

    PAK54MB57les14d15.35.42.7

    PAK54MB57les21d15.94.52.2

    PAK54MB57%S+C67.13.6

    PAK54MB57AUDPCd15.14.82.4

    PAK54MB61les7d24.33.81.9

    PAK54MB61les14d41.62.81.4

    PAK54MB61les21d59.58.74.3

    PAK54MB61%S+C39.918.89.4

    PAK54MB61AUDPCd41.73.21.6

    PAK54SK14les7d18.25.92.9

    PAK54SK14les14d23.910.25.1

    PAK54SK14les21d31.418.29.1

    PAK54SK14%S+C15.5189

    PAK54SK14AUDPCd24.4115.5

    PAK54SK23les7d23.213.86.9

    PAK54SK23les14d35.125.612.8

    PAK54SK23les21d46.728.814.4

    PAK54SK23%S+C19.113.56.7

    PAK54SK23AUDPCd3523.411.7

    PAK54SK35les7d2112.76.4

    PAK54SK35les14d36.326.213.1

    PAK54SK35les21d45.736.918.4

    PAK54SK35%S+C18.521.910.9

    PAK54SK35AUDPCd34.825.212.6

    PAK54SK38les7d28.210.35.1

    PAK54SK38les14d45.325.312.6

    PAK54SK38les21d62.344.922.4

    PAK54SK38%S+C35.727.613.8

    PAK54SK38AUDPCd45.326.213.1

    PAK54SK44les7d21.211.55.7

    PAK54SK44les14d33.421.210.6

    PAK54SK44les21d44.235.717.8

    PAK54SK44%S+C7.214.37.1

    PAK54SK44AUDPCd3322.211.1

    PAK54SK45les7d34.38.84.4

    PAK54SK45les14d57.616.78.4

    PAK54SK45les21d84.937.318.6

    PAK54SK45%S+C47.624.312.1

    PAK54SK45AUDPCd58.719.69.8

    PAK93321les7d17.65.52.8

    PAK93321les14d26.311.15.5

    PAK93321les21d37.120.810.4

    PAK93321%S+C10.913.86.9

    PAK93321AUDPCd26.811.65.8

    PAK93AB19les7d55105

    PAK93AB19les14d100.116.98.5

    PAK93AB19les21d137.926.213.1

    PAK93AB19%S+C73.228.714.3

    PAK93AB19AUDPCd98.314.57.2

    PAK93AB29les7d44.97.13.5

    PAK93AB29les14d94.416.28.1

    PAK93AB29les21d126.130.615.3

    PAK93AB29%S+C63.410.95.5

    PAK93AB29AUDPCd9017.28.6

    PAK93AB3les7d17.7105

    PAK93AB3les14d29.917.48.7

    PAK93AB3les21d38.42311.5

    PAK93AB3%S+C9.711.55.7

    PAK93AB3AUDPCd2916.78.4

    PAK93AB7les7d13.84.12.1

    PAK93AB7les14d165.52.7

    PAK93AB7les21d16.65.22.6

    PAK93AB7%S+C000

    PAK93AB7AUDPCd15.652.5

    PAK93MB21les7d43.17.53.7

    PAK93MB21les14d88.19.24.6

    PAK93MB21les21d121.716.58.3

    PAK93MB21%S+C63.123.111.6

    PAK93MB21AUDPCd85.28.44.2

    PAK93MB35les7d31.27.63.8

    PAK93MB35les14d5018.39.2

    PAK93MB35les21d67.83316.5

    PAK93MB35%S+C18.913.36.6

    PAK93MB35AUDPCd49.818.79.3

    PAK93MB51les7d33.311.96

    PAK93MB51les14d59.322.211.1

    PAK93MB51les21d79.938.719.4

    PAK93MB51%S+C37.127.613.8

    PAK93MB51AUDPCd57.923.111.6

    PAK93MB52les7d32.210.55.2

    PAK93MB52les14d55.419.59.8

    PAK93MB52les21d71.931.215.6

    PAK93MB52%S+C46.420.410.2

    PAK93MB52AUDPCd53.719.99.9

    PAK93MB57les7d25.44.62.3

    PAK93MB57les14d37.28.64.3

    PAK93MB57les21d47.210.55.2

    PAK93MB57%S+C28.620.410.2

    PAK93MB57AUDPCd36.784

    PAK93MB61les7d33.212.76.4

    PAK93MB61les14d57.129.314.7

    PAK93MB61les21d75.847.623.8

    PAK93MB61%S+C43.335.817.9

    PAK93MB61AUDPCd55.829.414.7

    PAK93SK14les7d30.89.34.6

    PAK93SK14les14d49.617.48.7

    PAK93SK14les21d70.430.815.4

    PAK93SK14%S+C44.926.413.2

    PAK93SK14AUDPCd50.118.69.3

    PAK93SK23les7d38.69.24.6

    PAK93SK23les14d60.517.68.8

    PAK93SK23les21d7827.113.6

    PAK93SK23%S+C41.226.513.2

    PAK93SK23AUDPCd59.417.38.7

    PAK93SK35les7d24.610.95.5

    PAK93SK35les14d48.725.112.5

    PAK93SK35les21d57.124.612.3

    PAK93SK35%S+C25.426.713.4

    PAK93SK35AUDPCd44.821.310.6

    PAK93SK38les7d34.99.34.7

    PAK93SK38les14d56.721.410.7

    PAK93SK38les21d78.630.915.4

    PAK93SK38%S+C41.622.311.2

    PAK93SK38AUDPCd56.820.710.3

    PAK93SK44les7d20.29.14.6

    PAK93SK44les14d40.820.810.4

    PAK93SK44les21d6337.318.6

    PAK93SK44%S+C21.123.411.7

    PAK93SK44AUDPCd41.221.911

    PAK93SK45les7d42.82.61.3

    PAK93SK45les14d79.77.53.7

    PAK93SK45les21d103.65.52.7

    PAK93SK45%S+C69.819.910

    PAK93SK45AUDPCd76.44.72.3

    Tanto321les7d26.811.25.6

    Tanto321les14d46.923.111.6

    Tanto321les21d59.736.818.4

    Tanto321%S+C22.819.99.9

    Tanto321AUDPCd45.123.411.7

    TantoAB19les7d68.514.77.4

    TantoAB19les14d106.16.33.1

    TantoAB19les21d146189

    TantoAB19%S+C72.614.77.4

    TantoAB19AUDPCd106.7105

    TantoAB29les7d60.416.88.4

    TantoAB29les14d109.83417

    TantoAB29les21d15352.126.1

    TantoAB29%S+C77.823.711.9

    TantoAB29AUDPCd108.233.816.9

    TantoAB3les7d33.519.99.9

    TantoAB3les14d61.632.816.4

    TantoAB3les21d85.941.520.7

    TantoAB3%S+C37.330.415.2

    TantoAB3AUDPCd60.731.715.8

    TantoAB7les7d12.35.12.6

    TantoAB7les14d14.56.43.2

    TantoAB7les21d195.92.9

    TantoAB7%S+C8.57.33.7

    TantoAB7AUDPCd15.15.52.8

    TantoMB21les7d54.814.87.4

    TantoMB21les14d96.626.213.1

    TantoMB21les21d120.636.718.3

    TantoMB21%S+C69.920.210.1

    TantoMB21AUDPCd92.125.712.8

    TantoMB35les7d36.711.15.5

    TantoMB35les14d67.522.611.3

    TantoMB35les21d92.135.217.6

    TantoMB35%S+C45.330.715.4

    TantoMB35AUDPCd65.92211

    TantoMB51les7d55.21.60.8

    TantoMB51les14d110.76.83.4

    TantoMB51les21d156.819.69.8

    TantoMB51%S+C87.56.53.3

    TantoMB51AUDPCd108.48.54.2

    TantoMB52les7d43.712.56.2

    TantoMB52les14d89.83517.5

    TantoMB52les21d118.246.223.1

    TantoMB52%S+C60.32311.5

    TantoMB52AUDPCd85.331.916

    TantoMB57les7d38.710.65.3

    TantoMB57les14d64.7115.5

    TantoMB57les21d93.426.513.2

    TantoMB57%S+C50.525.412.7

    TantoMB57AUDPCd65.414.67.3

    TantoMB61les7d50.6147

    TantoMB61les14d9218.69.3

    TantoMB61les21d123.415.57.7

    TantoMB61%S+C68.523.111.6

    TantoMB61AUDPCd89.516.38.2

    TantoSK14les7d43.6168

    TantoSK14les14d74.631.415.7

    TantoSK14les21d107.552.826.4

    TantoSK14%S+C64.536.818.4

    TantoSK14AUDPCd75.132.816.4

    TantoSK23les7d45.216.18

    TantoSK23les14d83.534.217.1

    TantoSK23les21d12367.733.9

    TantoSK23%S+C58.422.111

    TantoSK23AUDPCd83.837.818.9

    TantoSK35les7d29.72412

    TantoSK35les14d564321.5

    TantoSK35les21d71.856.528.2

    TantoSK35%S+C36.332.616.3

    TantoSK35AUDPCd53.441.620.8

    TantoSK38les7d50.712.36.1

    TantoSK38les14d91.922.611.3

    TantoSK38les21d134.329.814.9

    TantoSK38%S+C7518.49.2

    TantoSK38AUDPCd92.221.710.9

    TantoSK44les7d23.410.45.2

    TantoSK44les14d49.120.910.5

    TantoSK44les21d70.631.916

    TantoSK44%S+C22.118.69.3

    TantoSK44AUDPCd482110.5

    TantoSK45les7d54.918.99.5

    TantoSK45les14d99.630.415.2

    TantoSK45les21d140.844.522.2

    TantoSK45%S+C74.434.417.2

    TantoSK45AUDPCd98.730.715.4

    Topas321les7d27.44.62.3

    Topas321les14d4111.45.7

    Topas321les21d54.217.48.7

    Topas321%S+C24.416.38.1

    Topas321AUDPCd40.910.55.2

    TopasAB19les7d61.68.34.2

    TopasAB19les14d125.513.26.6

    TopasAB19les21d208.859.529.8

    TopasAB19%S+C92.911.35.7

    TopasAB19AUDPCd130.420.310.2

    TopasAB29les7d68.810.95.5

    TopasAB29les14d128.815.57.7

    TopasAB29les21d209.422.111.1

    TopasAB29%S+C98.62.81.4

    TopasAB29AUDPCd133.914.77.4

    TopasAB3les7d37.72211

    TopasAB3les14d74.138.719.3

    TopasAB3les21d109.856.928.5

    TopasAB3%S+C51.331.916

    TopasAB3AUDPCd743919.5

    TopasAB7les7d21.811.96

    TopasAB7les14d3218.29.1

    TopasAB7les21d35.32110.5

    TopasAB7%S+C16.917.99

    TopasAB7AUDPCd30.317.38.7

    TopasMB21les7d5612.76.3

    TopasMB21les14d110.127.413.7

    TopasMB21les21d1643919.5

    TopasMB21%S+C83.110.45.2

    TopasMB21AUDPCd110.126.513.2

    TopasMB35les7d46.64.72.4

    TopasMB35les14d76.611.55.8

    TopasMB35les21d145.361.330.6

    TopasMB35%S+C63.516.48.2

    TopasMB35AUDPCd86.221.110.5

    TopasMB51les7d66.213.36.6

    TopasMB51les14d13620.610.3

    TopasMB51les21d223.441.520.7

    TopasMB51%S+C10000

    TopasMB51AUDPCd140.423.411.7

    TopasMB52les7d562.91.4

    TopasMB52les14d109.810.45.2

    TopasMB52les21d182.224.212.1

    TopasMB52%S+C89.79.94.9

    TopasMB52AUDPCd114.511.85.9

    TopasMB57les7d47.98.84.4

    TopasMB57les14d96.114.67.3

    TopasMB57les21d16019.89.9

    TopasMB57%S+C7717.38.6

    TopasMB57AUDPCd10013.66.8

    TopasMB61les7d61.212.16

    TopasMB61les14d115.910.25.1

    TopasMB61les21d185.514.87.4

    TopasMB61%S+C94.963

    TopasMB61AUDPCd119.611.75.8

    TopasSK14les7d58.89.34.6

    TopasSK14les14d118.94.32.2

    TopasSK14les21d214.810.85.4

    TopasSK14%S+C97.552.5

    TopasSK14AUDPCd127.84.32.2

    TopasSK23les7d47.813.66.8

    TopasSK23les14d96.521.510.8

    TopasSK23les21d179.643.621.8

    TopasSK23%S+C82.119.69.8

    TopasSK23AUDPCd105.124.812.4

    TopasSK35les7d37.14.32.1

    TopasSK35les14d81.5178.5

    TopasSK35les21d132.125.912.9

    TopasSK35%S+C63.2199.5

    TopasSK35AUDPCd83.1168

    TopasSK38les7d57.79.84.9

    TopasSK38les14d11117.28.6

    TopasSK38les21d191.224.612.3

    TopasSK38%S+C93.752.5

    TopasSK38AUDPCd117.716.18.1

    TopasSK44les7d40.76.63.3

    TopasSK44les14d81.911.85.9

    TopasSK44les21d141.224.712.4

    TopasSK44%S+C59.611.35.7

    TopasSK44AUDPCd86.4126

    TopasSK45les7d59.37.63.8

    TopasSK45les14d1242010

    TopasSK45les21d203.833.116.6

    TopasSK45%S+C98.82.41.2

    TopasSK45AUDPCd127.818.99.5

    7dai

    B. napusIsolateles7dStd DevStd Error

    DC2132116.66.63.3

    AB1956.214.27.1

    AB2964.417.48.7

    AB342.423.811.9

    AB770.20.1

    MB2141.713.26.6

    MB3520.99.14.5

    MB5133.311.25.6

    MB522410.35.1

    MB5740.97.93.9

    MB613716.48.2

    SK14296.83.4

    SK2326.716.48.2

    SK3556.315.98

    SK3853.112.26.1

    SK4412.4105

    SK4548.584

    K2232132.913.76.9

    AB1933.412.56.3

    AB29344.32.1

    AB342.317.48.7

    AB77.20.90.4

    MB2124.35.22.6

    MB3515.24.32.2

    MB5140.713.56.7

    MB522620.110

    MB5727.88.34.2

    MB6122.68.74.3

    SK14177.43.7

    SK2332.617.78.8

    SK3555.129.114.6

    SK3854.56.53.2

    SK4412.27.83.9

    SK4534.615.37.7

    PAK5432113.74.52.3

    AB1934.17.83.9

    AB2938.411.25.6

    AB321.713.36.6

    AB79.91.30.7

    MB2118.373.5

    MB3516.66.33.1

    MB5128.95.32.6

    MB5222.78.84.4

    MB5713.83.81.9

    MB6124.33.81.9

    SK1418.25.92.9

    SK2323.213.86.9

    SK352112.76.4

    SK3828.210.35.1

    SK4421.211.55.7

    SK4534.38.84.4

    PAK9332117.65.52.8

    AB1955105

    AB2944.97.13.5

    AB317.7105

    AB713.84.12.1

    MB2143.17.53.7

    MB3531.27.63.8

    MB5133.311.96

    MB5232.210.55.2

    MB5725.44.62.3

    MB6133.212.76.4

    SK1430.89.34.6

    SK2338.69.24.6

    SK3524.610.95.5

    SK3834.99.34.7

    SK4420.29.14.6

    SK4542.82.61.3

    Tanto32126.811.25.6

    AB1968.514.77.4

    AB2960.416.88.4

    AB333.519.99.9

    AB712.35.12.6

    MB2154.814.87.4

    MB3536.711.15.5

    MB5155.21.60.8

    MB5243.712.56.2

    MB5738.710.65.3

    MB6150.6147

    SK1443.6168

    SK2345.216.18

    SK3529.72412

    SK3850.712.36.1

    SK4423.410.45.2

    SK4554.918.99.5

    Topas32127.44.62.3

    AB1961.68.34.2

    AB2968.810.95.5

    AB337.72211

    AB721.811.96

    MB215612.76.3

    MB3546.64.72.4

    MB5166.213.36.6

    MB52562.91.4

    MB5747.98.84.4

    MB6161.212.16

    SK1458.89.34.6

    SK2347.813.66.8

    SK3537.14.32.1

    SK3857.79.84.9

    SK4440.76.63.3

    SK4559.37.63.8

    14dai

    B. napusIsolateles14dStd DevStd Error

    DC213213115.57.8

    AB1993.14.82.4

    AB2911924.912.5

    AB379.545.622.8

    AB78.621

    MB2184.729.414.7

    MB3539.821.310.6

    MB5168.532.916.5

    MB5248.328.914.5

    MB5771.99.34.7

    MB6180.144.922.5

    SK1453.718.99.5

    SK2344.828.914.4

    SK3595.173.5

    SK38101.615.67.8

    SK4426.524.412.2

    SK4585.520.510.3

    K2232149.723.511.8

    AB195019.59.8

    AB2966.61.30.6

    AB372.727.513.7

    AB79.72.31.2

    MB2136.810.25.1

    MB3523.411.45.7

    MB5163.727.313.6

    MB5239.434.617.3

    MB5747.313.46.7

    MB6137.818.29.1

    SK143416.58.3

    SK2359.940.820.4

    SK3580.13417

    SK3889.314.87.4

    SK4425.219.89.9

    SK4558.219.89.9

    PAK5432116.26.53.3

    AB1958.52713.5

    AB2976.216.28.1

    AB334.321.610.8

    AB711.81.10.6

    MB2128.520.910.4

    MB3521.494.5

    MB5147.616.28.1

    MB5232.518.39.2

    MB5715.35.42.7

    MB6141.62.81.4

    SK1423.910.25.1

    SK2335.125.612.8

    SK3536.326.213.1

    SK3845.325.312.6

    SK4433.421.210.6

    SK4557.616.78.4

    PAK9332126.311.15.5

    AB19100.116.98.5

    AB2994.416.28.1

    AB329.917.48.7

    AB7165.52.7

    MB2188.19.24.6

    MB355018.39.2

    MB5159.322.211.1

    MB5255.419.59.8

    MB5737.28.64.3

    MB6157.129.314.7

    SK1449.617.48.7

    SK2360.517.68.8

    SK3548.725.112.5

    SK3856.721.410.7

    SK4440.820.810.4

    SK4579.77.53.7

    Tanto32146.923.111.6

    AB19106.16.33.1

    AB29109.83417

    AB361.632.816.4

    AB714.56.43.2

    MB2196.626.213.1

    MB3567.522.611.3

    MB51110.76.83.4

    MB5289.83517.5

    MB5764.7115.5

    MB619218.69.3

    SK1474.631.415.7

    SK2383.534.217.1

    SK35564321.5

    SK3891.922.611.3

    SK4449.120.910.5

    SK4599.630.415.2

    Topas3214111.45.7

    AB19125.513.26.6

    AB29128.815.57.7

    AB374.138.719.3

    AB73218.29.1

    MB21110.127.413.7

    MB3576.611.55.8

    MB5113620.610.3

    MB52109.810.45.2

    MB5796.114.67.3

    MB61115.910.25.1

    SK14118.94.32.2

    SK2396.521.510.8

    SK3581.5178.5

    SK3811117.28.6

    SK4481.911.85.9

    SK451242010

    21dai

    B. napusIsolateles21dStd DevStd Error

    DC2132142.722.111.1

    AB19159.319.910

    AB29212.927.413.7

    AB3110.553.726.8

    AB710.221

    MB21124.245.722.8

    MB3563.343.621.8

    MB51101.351.125.6

    MB5278.463.131.5

    MB57114.331.215.6

    MB61115.670.535.3

    SK1487.925.512.8

    SK2366.339.920

    SK35185.420.910.4

    SK38158.539.119.5

    SK444946.823.4

    SK45128.330.215.1

    K2232172.736.218.1

    AB1970.729.414.7

    AB2910011.65.8

    AB3102.939.319.7

    AB710.82.61.3

    MB214616.38.1

    MB3527.515.67.8

    MB5193.448.724.4

    MB5258.16130.5

    MB5763.821.710.8

    MB614824.912.4

    SK1442.624.512.3

    SK2388.259.929.9

    SK35125.854.227.1

    SK38123.323.611.8

    SK4433.929.814.9

    SK4578.926.813.4

    PAK5432117.73.81.9

    AB1980.150.625.3

    AB29106.22110.5

    AB344.83015

    AB712.21.40.7

    MB2134.43115.5

    MB3522.494.5

    MB516732.816.4

    MB5246.43919.5

    MB5715.94.52.2

    MB6159.58.74.3

    SK1431.418.29.1

    SK2346.728.814.4

    SK3545.736.918.4

    SK3862.344.922.4

    SK4444.235.717.8

    SK4584.937.318.6

    PAK9332137.120.810.4

    AB19137.926.213.1

    AB29126.130.615.3

    AB338.42311.5

    AB716.65.22.6

    MB21121.716.58.3

    MB3567.83316.5

    MB5179.938.719.4

    MB5271.931.215.6

    MB5747.210.55.2

    MB6175.847.623.8

    SK1470.430.815.4

    SK237827.113.6

    SK3557.124.612.3

    SK3878.630.915.4

    SK446337.318.6

    SK45103.65.52.7

    Tanto32159.736.818.4

    AB19146189

    AB2915352.126.1

    AB385.941.520.7

    AB7195.92.9

    MB21120.636.718.3

    MB3592.135.217.6

    MB51156.819.69.8

    MB52118.246.223.1

    MB5793.426.513.2

    MB61123.415.57.7

    SK14107.552.826.4

    SK2312367.733.9

    SK3571.856.528.2

    SK38134.329.814.9

    SK4470.631.916

    SK45140.844.522.2

    Topas32154.217.48.7

    AB19208.859.529.8

    AB29209.422.111.1

    AB3109.856.928.5

    AB735.32110.5

    MB211643919.5

    MB35145.361.330.6

    MB51223.441.520.7

    MB52182.224.212.1

    MB5716019.89.9

    MB61185.514.87.4

    SK14214.810.85.4

    SK23179.643.621.8

    SK35132.125.912.9

    SK38191.224.612.3

    SK44141.224.712.4

    SK45203.833.116.6

    AUDPC

    B. napusIsolateAUDPCdStd DevStd Error

    DC21AB78.61.50.7

    MB5774.814.17.1

    32130.414.97.5

    MB354123.811.9

    SK1456.116.98.4

    MB2183.829.214.6

    SK4428.62613

    MB5249.732.616.3

    AB377.940.520.3

    SK351089.74.9

    SK2345.628.214.1

    MB6178.243.521.7

    SK38103.718.29.1

    MB516831.815.9

    AB19100.59.34.7

    SK4586.918.49.2

    AB29128.816.68.3

    K22AB79.41.91

    MB5746.514.17.1

    32151.22412

    MB3522.310.65.3

    SK1431.9168

    MB213610.25.1

    SK4424.119.29.6

    MB5240.737.518.8

    AB372.727.613.8

    SK3585.337.618.8

    SK2360.23919.5

    MB6136.517.48.7

    SK3889.213.86.9

    MB5165.429.114.6

    AB195120.110.1

    SK4557.52010

    AB2966.82.91.4

    PAK54AB711.41.30.6

    MB5715.14.82.49

    32115.95.32.7

    MB3520.48.34.2

    SK1424.4115.5

    MB2127.419.910

    SK443322.211.1

    MB5233.520.910.4

    AB333.821.510.8

    SK3534.825.212.6

    SK233523.411.7

    MB6141.73.21.6

    SK3845.326.213.1

    MB5147.817.48.7

    AB1957.827.813.9

    SK4558.719.69.8

    AB2974.215.77.8

    PAK93AB715.652.5

    MB5736.784

    32126.811.65.8

    MB3549.818.79.3

    SK1450.118.69.3

    MB2185.28.44.2

    SK4441.221.911

    MB5253.719.99.9

    AB32916.78.4

    SK3544.821.310.6

    SK2359.417.38.7

    MB6155.829.414.7

    SK3856.820.710.3

    MB5157.923.111.6

    AB1998.314.57.2

    SK4576.44.72.3

    AB299017.28.6

    TantoAB715.15.52.8

    MB5765.414.67.3

    32145.123.411.7

    MB3565.92211

    SK1475.132.816.4

    MB2192.125.712.8

    SK44482110.5

    MB5285.331.916

    AB360.731.715.8

    SK3553.441.620.8

    SK2383.837.818.9

    MB6189.516.38.2

    SK3892.221.710.9

    MB51108.48.54.2

    AB19106.7105

    SK4598.730.715.4

    AB29108.233.816.9

    TopasAB730.317.38.7

    MB5710013.66.8

    32140.910.55.2

    MB3586.221.110.5

    SK14127.84.32.2

    MB21110.126.513.2

    SK4486.4126

    MB52114.511.85.9

    AB3743919.5

    SK3583.1168

    SK23105.124.812.4

    MB61119.611.75.8

    SK38117.716.18.1

    MB51140.423.411.7

    AB19130.420.310.2

    SK45127.818.99.5

    AB29133.914.77.4

    AUDPC

    % s+c

    Graph for Richard Oliver

    AUDPC PAK54 PAK93

    AUDPC 5 lines

    Graph 21dai

    B. napusIsolate% s+cStd DevStd Error

    DC2132121.815.47.7

    AB1972.88.84.4

    AB2984.24.22.1

    AB359.535.317.7

    AB7000

    MB2156.824.312.2

    MB3532.919.39.7

    MB515432.116.1

    MB5231.621.911

    MB5753.25.92.9

    MB6148.627.313.7

    SK1438.515.67.8

    SK2336.935.117.5

    SK3569.817.18.5

    SK3880.413.46.7

    SK4416.119.29.6

    SK4559.518.19

    K2232162.932.116.1

    AB1948.318.49.2

    AB2959.163

    AB362.330.815.4

    AB7000

    MB2135.110.25.1

    MB3514.614.87.4

    MB5161.323.611.8

    MB5235.122.111.1

    MB5750.115.37.6

    MB6123.819.49.7

    SK1426.222.211.1

    SK2351.833.917

    SK3561.42211

    SK3876.411.45.7

    SK4420.82512.5

    SK4546.124.912.5

    PAK543212.42.81.4

    AB19482613

    AB2955.716.68.3

    AB320.92311.5

    AB72.44.82.4

    MB217.214.37.2

    MB356.47.43.7

    MB5146.224.912.4

    MB5223.124.312.1

    MB5767.13.6

    MB6139.918.89.4

    SK1415.5189

    SK2319.113.56.7

    SK3518.521.910.9

    SK3835.727.613.8

    SK447.214.37.1

    SK4547.624.312.1

    PAK9332110.913.86.9

    AB1973.228.714.3

    AB2963.410.95.5

    AB39.711.55.7

    AB7000

    MB2163.123.111.6

    MB3518.913.36.6

    MB5137.127.613.8

    MB5246.420.410.2

    MB5728.620.410.2

    MB6143.335.817.9

    SK1444.926.413.2

    SK2341.226.513.2

    SK3525.426.713.4

    SK3841.622.311.2

    SK4421.123.411.7

    SK4569.819.910

    Tanto32122.819.99.9

    AB1972.614.77.4

    AB2977.823.711.9

    AB337.330.415.2

    AB78.57.33.7

    MB2169.920.210.1

    MB3545.330.715.4

    MB5187.56.53.3

    MB5260.32311.5

    MB5750.525.412.7

    MB6168.523.111.6

    SK1464.536.818.4

    SK2358.422.111

    SK3536.332.616.3

    SK387518.49.2

    SK4422.118.69.3

    SK4574.434.417.2

    Topas32124.416.38.1

    AB1992.911.35.7

    AB2998.62.81.4

    AB351.331.916

    AB716.917.99

    MB2183.110.45.2

    MB3563.516.48.2

    MB5110000

    MB5289.79.94.9

    MB577717.38.6

    MB6194.963

    SK1497.552.5

    SK2382.119.69.8

    SK3563.2199.5

    SK3893.752.5

    SK4459.611.35.7

    SK4598.82.41.2

    IsolatePAK54PAK93K22DC21TantoTopassumStd Dev Pak54Std Err PAK54Std Dev PAK93Std Err PAK93Std Dev K22Std Err K22Std Dev DC21Std Error DC21Std Dev TantoStd Err TantoStd Dev TopasStd Err Topas

    AB711.415.69.48.615.130.390.41.30.652.51.911.50.75.52.817.38.7

    32115.926.851.230.445.140.9210.35.32.711.65.8241214.97.523.411.710.55.2

    SK4433.041.224.128.648.086.4261.322.211.121.91119.29.626132110.5126

    AB333.829.072.777.960.774.0348.121.510.816.78.427.613.840.520.331.715.83919.5

    MB5715.136.746.574.865.4100.0338.54.82.48414.17.114.17.114.67.313.66.8

    MB3520.449.822.341.065.986.2285.68.34.218.79.310.65.323.811.9221121.110.5

    SK1424.450.131.956.175.1127.8365.4115.518.69.316816.98.432.816.44.32.2

    SK3534.844.885.3108.053.483.1409.425.212.621.310.637.618.89.74.941.620.8168

    SK2335.059.460.245.683.8105.1389.123.411.717.38.73919.528.214.137.818.924.812.4

    MB2127.485.236.083.892.1110.1434.619.9108.44.210.25.129.214.625.712.826.513.2

    MB5233.553.740.749.785.3114.5377.420.910.419.99.937.518.832.616.331.91611.85.9

    MB6141.755.836.578.289.5119.6421.33.21.629.414.717.48.743.521.716.38.211.75.8

    SK3845.356.889.2103.792.2117.7504.926.213.120.710.313.86.918.29.121.710.916.18.1

    MB5147.857.965.468.0108.4140.4487.917.48.723.111.629.114.631.815.98.54.223.411.7

    AB1957.898.351.0100.5106.7130.4544.727.813.914.57.220.110.19.34.710520.310.2

    SK4558.776.457.586.998.7127.8506.019.69.84.72.3201018.49.230.715.418.99.5

    AB2974.290.066.8128.8108.2133.9601.915.77.817.28.62.91.416.68.333.816.914.77.4

    sum610.2927.5846.71170.61293.61728.2

    321 = This isolate has been used to phenotype eight B. napus mapping populations and is one of the least aggressive isolates

    SK35 = This isolate was genetically the most dissimilar of all 129 isolates after genotyping with 47 SSR markers

    MB21 = This isolate has differential reactions on three B. napus lines (similar to AB19)

    MB52 = This isolate is more aggressive than 321 and will be used for future screening of B. napus mapping populations

    AB29 = This isolate is the most aggressive of all 17 isolates

    &L&D&R&Z&F&A

    2.72.518.7

    11.15.8125.2

    10.8119.66

    2.48.413.819.5

    4.247.16.8

    5.59.35.310.5

    12.69.382.2

    11.710.618.88

    108.719.512.4

    10.44.25.113.2

    1.69.918.85.9

    13.114.78.75.8

    8.710.36.98.1

    13.911.614.611.7

    9.87.210.110.2

    7.82.3109.5

    8.61.47.4

    PAK54

    PAK93

    K22

    Topas

    IsolatePAK54PAK93TopasStd Err Pak54Std Err. PAK93Std Err. Topas

    AB711.415.630.30.62.58.7

    32115.926.840.92.75.85.2

    MB5715.136.7100.02.446.8

    MB3520.449.886.24.29.310.5

    SK1424.450.1127.85.59.32.2

    MB2127.485.2110.1104.213.2

    AB333.829.074.010.88.419.5

    SK4433.041.286.411.1116

    SK3534.844.883.112.610.68

    MB5233.553.7114.510.49.95.9

    SK2335.059.4105.111.78.712.4

    MB6141.755.8119.61.614.75.8

    SK3845.356.8117.713.110.38.1

    MB5147.857.9140.48.711.611.7

    SK4558.776.4127.89.82.39.5

    AB1957.898.3130.413.97.210.2

    AB2974.290.0133.97.88.67.4

    &L&D&R&Z&F&A

    0.62.58.7

    2.75.85.2

    2.446.8

    4.29.310.5

    5.59.32.2

    104.213.2

    10.88.419.5

    11.1116

    12.610.68

    10.49.95.9

    11.78.712.4

    1.614.75.8

    13.110.38.1

    8.711.611.7

    9.82.39.5

    13.97.210.2

    7.88.67.4

    PAK54

    PAK93

    Topas

    IsolatePAK54PAK93K22DC21TantoTopassumStd Dev Pak54Std Err PAK54Std Dev PAK93Std Err PAK93Std Dev K22Std Err K22Std Dev DC21Std Error DC21Std Dev TantoStd Err TantoStd Dev TopasStd Err Topas

    AB711.415.69.48.615.130.390.41.30.65.02.51.91.01.50.75.52.817.38.7

    32115.926.851.230.445.140.9210.35.32.711.65.824.012.014.97.523.411.710.55.2

    SK4433.041.224.128.648.086.4261.322.211.121.911.019.29.626.013.021.010.512.06.0

    AB333.829.072.777.960.774.0348.121.510.816.78.427.613.840.520.331.715.839.019.5

    MB5715.136.746.574.865.4100.0338.54.82.48.04.014.17.114.17.114.67.313.66.8

    MB3520.449.822.341.065.986.2285.68.34.218.79.310.65.323.811.922.011.021.110.5

    SK1424.450.131.956.175.1127.8365.411.05.518.69.316.08.016.98.432.816.44.32.2

    SK3534.844.885.3108.053.483.1409.425.212.621.310.637.618.89.74.941.620.816.08.0

    SK2335.059.460.245.683.8105.1389.123.411.717.38.739.019.528.214.137.818.924.812.4

    MB2127.485.236.083.892.1110.1434.619.910.08.44.210.25.129.214.625.712.826.513.2

    MB5233.553.740.749.785.3114.5377.420.910.419.99.937.518.832.616.331.916.011.85.9

    MB6141.755.836.578.289.5119.6421.33.21.629.414.717.48.743.521.716.38.211.75.8

    SK3845.356.889.2103.792.2117.7504.926.213.120.710.313.86.918.29.121.710.916.18.1

    MB5147.857.965.468.0108.4140.4487.917.48.723.111.629.114.631.815.98.54.223.411.7

    AB1957.898.351.0100.5106.7130.4544.727.813.914.57.220.110.19.34.710.05.020.310.2

    SK4558.776.457.586.998.7127.8506.019.69.84.72.320.010.018.49.230.715.418.99.5

    AB2974.290.066.8128.8108.2133.9601.915.77.817.28.62.91.416.68.333.816.914.77.4

    sum610.2927.5846.71170.61293.61728.2

    321 = This isolate has been used to phenotype eight B. napus mapping populations and is one of the least aggressive isolates

    SK35 = This isolate was genetically the most dissimilar of all 129 isolates after genotyping with 47 SSR markers

    MB21 = This isolate has differential reactions on three B. napus lines (similar to AB19)

    MB52 = This isolate is more aggressive than 321 and will be used for future screening of B. napus mapping populations

    AB29 = This isolate is the most aggressive of all 17 isolates

    Topas

    Tanto

    DC21

    K22

    PAK93

    PAK54

    Sclerotinia isolates

    Area under the disease progress curve

    Isolateles21dles21dles21dles21dles21dles21dStd ErrorStd ErrorStd ErrorStd ErrorStd ErrorStd ErrorStd DevStd DevStd DevStd DevStd DevStd Dev

    TopasTantoDC21K22PAK93PAK54avg Topas and PAK54 for sortingTopasTantoDC21K22PAK93PAK54TopasTantoDC21K22PAK93PAK54

    AB735.319.010.210.816.612.223.810.52.91.01.32.60.721.05.92.02.65.21.4

    32154.259.742.772.737.117.736.08.718.411.118.110.41.917.436.822.136.220.83.8

    AB3109.885.9110.5102.938.444.877.328.520.726.819.711.515.056.941.553.739.323.030.0

    MB35145.392.163.327.567.822.483.930.617.621.87.816.54.561.335.243.615.633.09.0

    MB57160.093.4114.363.847.215.988.09.913.215.610.85.22.219.826.531.221.710.54.5

    SK35132.171.8185.4125.857.145.788.912.928.210.427.112.318.425.956.520.954.224.636.9

    SK44141.270.649.033.963.044.292.712.416.023.414.918.617.824.731.946.829.837.335.7

    MB21164.0120.6124.246.0121.734.499.219.518.322.88.18.315.539.036.745.716.316.531.0

    SK23179.6123.066.388.278.046.7113.221.833.920.029.913.614.443.667.739.959.927.128.8

    MB52182.2118.278.458.171.946.4114.312.123.131.530.515.619.524.246.263.161.031.239.0

    MB61185.5123.4115.648.075.859.5122.57.47.735.312.423.84.314.815.570.524.947.68.7

    SK14214.8107.587.942.670.431.4123.15.426.412.812.315.49.110.852.825.524.530.818.2

    MB51223.4156.8101.393.479.967.0145.220.79.825.624.419.416.441.519.651.148.738.732.8

    SK38191.2134.3158.5123.378.662.3126.812.314.919.511.815.422.424.629.839.123.630.944.9

    SK45203.8140.8128.378.9103.684.9144.416.622.215.113.42.718.633.144.530.226.85.537.3

    AB19208.8146.0159.370.7137.980.1144.529.89.010.014.713.125.359.518.019.929.426.250.6

    AB29209.4153.0212.9100.0126.1106.2157.811.126.113.75.815.310.522.152.127.411.630.621.0

    10.510.50.70.7

    8.78.71.91.9

    28.528.51515

    30.630.64.54.5

    9.99.92.22.2

    12.912.918.418.4

    12.412.417.817.8

    19.519.515.515.5

    21.821.814.414.4

    12.112.119.519.5

    7.47.44.34.3

    5.45.49.19.1

    20.720.716.416.4

    12.312.322.422.4

    16.616.618.618.6

    29.829.825.325.3

    11.111.110.510.5

    Topas

    Tanto

    DC21

    K22

    PAK93

    PAK54

    Sclerotinia isolates

    Stem lesion length 21 days after inoculation, mm

  • Genes Function in host resistanceReduction in

    sclerotinia severity

    Hevein, lectin like 40-50%

    Lectin, concanavalin 20-50%

    Lectin, curculin 40%

    AnnexinTrafficking and organization of vesicles, exocytosis, endocytosis, calcium ion channel formation

    30-40%

    WRKY33 Regulation of gene transcription 20-30%

    O-methyl transferase Glucosinolate pathway

    Small inconsistant effect

    PGIP Inhibitor of fungal polygalacturonase No effect

    Pathogen recognition and binding

    • Genes were cloned from Zhongyou 821 (China) and transformed into a susceptible B. napus line.

    • The CaMV 35S promotor ensures the genes are constitutively expressed in all plant tissues all the time.

    We have identified defense genes that reduce sclerotinia severity - a major step

    for potential use in GM canola

    QTLs

    A-genomeC-genomeResistance loci

    PAK54 (Pakistan)A3, A6, A9, A10C1, C67

    PAK93 (Pakistan)A5, A7C2, C5, C6, C76

    DC21 (South Korea)A1, A3C53

    K22 (Japan)In progress

    Zhongyou 821 (China) A1, A3, A5, A6, A7, A9C1, C2, C3, C6, C911

    A world collection of 180 B. napus accessionsA1, A2, A3, A6, A7, A8, A9, A10C1, C2, C3, C4, C5, C6, C7, C9114

    cloned genes

    Genes cloned from Zhongyou

    GenesFunction in host resistanceReduction in sclerotinia severity

    Hevein, lectin likePathogen recognition and binding40-50%

    Lectin, concanavalin20-50%

    Lectin, curculin40%

    AnnexinTrafficking and organization of vesicles, exocytosis, endocytosis, calcium ion channel formation30-40%

    WRKY33Regulation of gene transcription20-30%

    O-methyl transferaseGlucosinolate pathwaySmall inconsistant effect

    PGIPInhibitor of fungal polygalacturonaseNo effect

    Sheet3

  • Defense genes that prevent fungal penetration of the plant cell, PEN1, PEN2 and PEN3 worthy

    of investigation in canola

    Fungal spore

    Plant cell wall

    Plant cell

    Jeff Ellis, Plant Cell 2006,18:523-528

    Studied in several plant species such as the model plant Arabidopsis and soybean

  • Does constitutive expression of PEN1, PEN2 and PEN3 in canola reduce sclerotinia severity?

    PEN1-10P3T1 generation

    Transformation of B. napus DH12075

    MethodPEN1 cloned from resistant PAK54 Susceptible B. napus DH12075 transformed with PEN1 under the control of CaM35S gene promotor

    ResultsA single PEN1 gene copy was inserted in the B. napus genome The particular PEN1 allele was very low in DH12075 Transformants expressed PEN1 0.75 – 2.8 relative to DH12075

    Next stepClone and transform with PEN2 and PEN3Phenotype PEN1, PEN2 and PEN3 transformants for sclerotinia resistance in the T2 generation

    Chart1

    PEN1-10P30.09301572170.0930157217

    PEN1-13P10.01506599710.0150659971

    PEN1-20P10.06097854860.0609785486

    PEN1-20P20.29760507180.2976050718

    PEN1-25P20.12977161330.1297716133

    PEN1-10P40.09815708770.0981570877

    PEN1-15P20.02684564630.0268456463

    DH12075wt0.01736572150.0173657215

    NTC00

    Gene expression relative to actin

    PEN1 gene expression in transformed plants - T1 generation

    2.9156488344

    2.5162098374

    2.2000020371

    2.1576294767

    1.9534410322

    1.183279728

    0.7421133293

    0.0438572271

    0

    PAK54C3PEN1-4 expression in T1

    SampleTargetCopies/20uL PAK54C3PEN1-4Copies/20uL ActinConc (copies/uL) PAK54C3PEN1-4Conc (copies/uL) ActinPositives PAK54C3PEN1-4Positives ActinNegatives PAK54C3PEN1-4Negatives ActinAcceptedDropletsRatioSDAveSample

    PEN1-10P3 R1PAK54C3PEN1-4494016402478227439781175713522145003.0000.08888219412.912PEN1-10P3

    PEN1-10P4 R1PAK54PEN1-432002580160129193915891334113691152801.2400.09582817441.185PEN1-10P4

    PEN1-13P1 R1PAK54C3PEN1-452402100262105314113411259014390157312.5000.01245577782.517PEN1-13P1

    PEN1-15P2 R1PAK54C3PEN1-41096152054.8767269981523214960159580.7200.02828427120.740PEN1-15P2

    PEN1-20P1 R1PAK54C3PEN1-417207768638.811325221495615566160882.2100.05979047092.198PEN1-20P1

    PEN1-20P2 R1PAK54C3PEN1-43060131015365.515987091148712376130852.3400.30234177142.156PEN1-20P2

    PEN1-25P2 R1PAK54C3PEN1-4304017001528516619571201512719136761.7800.13341341091.952PEN1-25P2

    DH12075wt R1PAK54C3PEN1-413058006.52900325347581149658430.0220.00467582530.028DH12075wt

    NTC R1PAK54C3PEN1-401.400.070117750177491775000.000NTC

    PEN1-10P3 R2PAK54C3PEN1-455802000279100282310891054612280133692.790

    PEN1-10P4 R2PAK54C3PEN1-432403100162155201819321368013766156981.050

    PEN1-13P1 R2PAK54C3PEN1-464602560323128370415921171113823154152.520

    PEN1-15P2 R2PAK54C3PEN1-41262174063.18779010841433914045151290.720

    PEN1-20P1 R2PAK54C3PEN1-418608789343.912045801464515269158492.120

    PEN1-20P2 R2PAK54C3PEN1-437202140186107262715681537316432180001.730

    PEN1-25P2 R2PAK54C3PEN1-483004220415211184710184363519262101.970

    DH12075wt R2PAK54C3PEN1-45617002.8853891275118912780.033

    NTC R2PAK54C3PEN1-4No CallNo Call00000

    PEN1-10P3 R3PAK54C3PEN1-4533018102.945

    PEN1-10P4 R3PAK54C3PEN1-4330026101.264

    PEN1-13P1 R3PAK54C3PEN1-4549021702.530

    PEN1-15P2 R3PAK54C3PEN1-4117015000.780

    PEN1-20P1 R3PAK54C3PEN1-418808302.265

    PEN1-20P2 R3PAK54C3PEN1-4367015302.399

    PEN1-25P2 R3PAK54C3PEN1-4360017102.105

    DH12075wt R3PAK54C3PEN1-46922800.030

    NTC R3PAK54C3PEN1-4

    PAK54C3PEN1-4 expression in T1

    0.08888219410.0888821941

    0.09582817440.0958281744

    0.01245577780.0124557778

    0.02828427120.0282842712

    0.05979047090.0597904709

    0.30234177140.3023417714

    0.13341341090.1334134109

    0.00467582530.0046758253

    00

    Relative Expression

    PAK54C3PEN1 Expression in DH12075 T1 Transgenic plants

    Sheet1

    SampleCopies/20uL PAK54C3PEN1-4Copies/20uL ActinConc (copies/uL) PAK54C3PEN1-4Conc (copies/uL) ActinCopy # of PEN1 in original 25uL sampleCopy # of Actin in original 25 uL sampleAve PEN1-4 conc (copies/uL)Ave Actin conc (copies/uL)RatioSampleAverage ratioSD

    PEN1-10P3 R1494016402478261752050264.166666666790.83333333333.012195122PEN1-10P32.9160.093

    PEN1-10P4 R13200258016012940003225162.3333333333138.16666666671.2403100775PEN1-13P12.5160.015

    PEN1-13P1 R15240210026210565502625286.5113.83333333332.4952380952PEN1-20P12.2000.061

    PEN1-15P2 R11096152054.8761370190058.879.33333333330.7210526316PEN1-20P22.1580.298

    PEN1-20P1 R117207768638.821509709141.42.2164948454PEN1-25P21.9530.130

    PEN1-20P2 R13060131015365.538251637.5174.1666666667832.3358778626PEN1-10P41.1830.098

    PEN1-25P2 R1304017001528538002125249127.16666666671.7882352941PEN1-15P20.7420.027

    DH12075wt R113058006.798167.524504.3166666667990.0683673469DH12075wt0.0440.017

    NTC R101.40000000NTC0.0000.000

    PEN1-10P3 R255802000279100697525002.79

    PEN1-10P4 R232403100162155405038751.0451612903

    PEN1-13P1 R264602560323128807532002.5234375

    PEN1-15P2 R21262174063.1871577.521750.7252873563

    PEN1-20P1 R218608789343.923251097.52.1184510251

    PEN1-20P2 R237202140186107465026751.738317757

    PEN1-25P2 R2830042204152111037552751.9668246445

    DH12075wt R25617002.8857021250.0329411765

    NTC R2No CallNo Call000

    PEN1-10P3 R353301810266.590.56662.52262.52.9447513812

    PEN1-10P4 R333002610165130.541253262.51.2643678161

    PEN1-13P1 R354902170274.5108.56862.52712.52.5299539171

    PEN1-15P2 R31170150058.5751462.518750.78

    PEN1-20P1 R318808309441.523501037.52.265060241

    PEN1-20P2 R336701530183.576.54587.51912.52.3986928105

    PEN1-25P2 R33600171018085.545002137.52.1052631579

    DH12075wt R36922803.4511486.2528500.0302631579

    NTC R300000

    Sheet1

    0.09301572170.0930157217

    0.01506599710.0150659971

    0.06097854860.0609785486

    0.29760507180.2976050718

    0.12977161330.1297716133

    0.09815708770.0981570877

    0.02684564630.0268456463

    0.01736572150.0173657215

    00

    Relative Expression

    PAK54C3PEN1 Expression in DH12075 T1 Transgenic plants

    PEN1-4

    Actin

    Conc (Copies/uL)

    Comparison of Expression Levels of PAK54C3PEN1-4 and Actin in DH12075 T1 Transgenic Plants

  • Agriculture andAgri-Food Canada

    Agriculture et Agroalimentaire Canada

    • Users are canola growers and extension specialists

    • Objective is to recommend a fungicide application if an economic return is likely

    • Free, fast and user friendly in order to be used on 20 mill acres of canola

    • The starting point is a checklist developed in Sweden

    • Verified or modified to Canadian canola based on in-depth field surveys

    • The App provides real-time and location-specific rainfall data and weather forecast

    Forecasting -Sclerotinia risk App for smartphones

  • AAFC’s Sclerotinia risk assessment team

    ‘If not for you’

    ~60 extension specialists and canola growersreported sclerotia germination in ~200 depots

    each growing season from 2013 to 2017

    AAFC research staff

    Erl Svendsen

    CamKenny

    JonathanDurkin

    Lone Buchwaldt

    Jackie Nettleton

    Photo by Branimir Gjetvaj

  • Economic calculation

    Photos of sclerotinia

    Sclerotinia risk assessment

    Sclerotinia life cycle

    Sclerotinia rating at harvest

    Canola flowering stages

    Sclerotinia risk App for smartphones

    App programming (a hybrid)

    Ready made web applications for the user interface

    New programs for user’s geolocation (GPS, RM, other names), writing of files such as the check list and economic calculation

    Saving and sharing of risk assessment results by texting and email.

    Versions for both iPhone and Android phones

  • The starting point is the Swedish sclerotinia check list

    Twengström E, Sigvald R, Svensson C, Yuen J. 1998. Forecasting Sclerotinia stem rot in spring sown oilseed rape. Crop Prot 17:405–411.

    The risk points for each of the six factors were based on data from 384 canola fields.

    Risk factor Risk points1. Number of years since last canola crop 0, 5 or 102. Sclerotinia incidence in last host crop 0, 5, 10 or 153. Plant density 0, 5 or 104. Rainfall in the last two weeks 0, 5 or 105. Weather forecast 0, 10 or 156. Regional risk for apothecia development 0, 10 or 15

    A similar data set for Canadian canola is needed in order to either verify or modify this risk assessment.

    QTLs

    Bi-parental mapping populationsA-genomeC-genomeResistance loci

    PAK54 (Pakistan)A3, A6, A9, A10C1, C67

    PAK93 (Pakistan)A5, A7C2, C5, C6, C76

    DC21 (South Korea)A1, A3C53

    K22 (Japan)In progress

    Zhongyou 821 (China) A1, A3, A5, A6, A7, A9C1, C2, C3, C6, C911

    A world collection of 180 B. napus accessionsA1, A2, A3, A6, A7, A8, A9, A10C1, C2, C3, C4, C5, C6, C7, C9114

    cloned genes

    Genes cloned from Zhongyou

    GenesFunction in host resistanceReduction in sclerotinia severity

    Hevein, lectin likePathogen recognition and binding40-50%

    Lectin, concanavalin20-50%

    Lectin, curculin40%

    AnnexinTrafficking and organization of vesicles, exocytosis, endocytosis, calcium ion channel formation30-40%

    WRKY33Regulation of gene transcription20-30%

    O-methyl transferaseGlucosinolate pathwaySmall inconsistant effect

    PGIPInhibitor of fungal polygalacturonaseNo effect

    check list

    Twengström et al. 1989Canadian research 2018-2023App maintained 2023 onward

    1. mm rainfall in the past 14 daysIn-depth survey of ~400 canola fields over 5 growing seasons will capture relationships between different rainfall patterns and the other risk factorsWeather data and analysis belong to WIN

    2. Likelihood of rain in weather forecast

    3. Number of years since last canola crop Conclusions regarding the in-depth survey is public information

    4. Sclerotinia level in last canola crop

    5. Plant density

    6. Regional apothecia germination Who will continue this service?

    Breeding plan

    2013 PAK54 (resistant) x N99-508 (canola quality)population development

    2014 F1 backcrossed to N99-508marker-assisted-selection

    Plants selected based on SNP markersfield plots

    2015 1st DH population Stem inoculation

    2016 Agronomy, seed quality

    Sclerotinia test

    1st inter-cross of DH sister lines based on traits and SNP markers

    2017 Agronomy, seed quality, yield

    Sclerotinia test

    2nd DH population

    2018 Agronomy, seed quality, yield

    Sclerotinia test

    2019 2nd inter-cross of DH sister lines based on traits and SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2020 3rd DH population

    Plants selected based on SNP markers

    Agronomy, seed quality, yield

    Sclerotinia test

    2021 Agronomy, seed quality, yield

    Sclerotinia test

    2022 Agronomy, seed quality, yield

    Sclerotinia test

    2023 Project ends March 31

    Sheet1

    Risk factorRisk points

    1. Number of years since last canola crop0, 5 or 10

    2. Sclerotinia incidence in last host crop0, 5, 10 or 15

    3. Plant density0, 5 or 10

    4. Rainfall in the last two weeks0, 5 or 10

    5. Weather forecast0, 10 or 15

    6. Regional risk for apothecia development0, 10 or 15

  • In-depth field survey of Canadian canola to determine the effect of1. Number of years since last canola crop2. Sclerotinia incidence in last host crop3. Plant density

    Sclerotinia risk assessment at flowering

    Plant density

    10-year crop rotation

    Sclerotinia disease severity in previous crops

    Sclerotinia severity index at harvest (both frequency and severity)

    Canola variety (new factor)

    All interested extension specialists

    75-100 canola

    growers

    Data from100 canola

    fields per growing season

    Project staff

    Total database of 400 canola

    fields for statistical analysis

  • Weather Innovations Consulting (WIN) will providelocation-specific and real-time rainfall data4. Rain in the last two weeks5. Weather forecast

    Weather netwoeksWIN has >1100 weather stations in Alberta, Saskatchewan and ManitobaReceives data from Environment and Climate Change Canada (Federal Gov.) Other smaller weather networks

    Quality check of dataMonitored daily and adjusted for anomalies (limit tests, other data nearby, radar maps etc.)

    Algorithms for calculation of location-specific real-time rainfallCalculates location-specific rainfall data within a 50 km radius with the closest stations having more influence than more distant ones

    Algorithms for local weather forecastsWeather forecast data from National Oceanic Atmospheric Administration (NOAA) Environment and Climate Change CanadaA few other sources.

    ‘Come Rain or Come Shine’

  • Sclerotia depots6. Regional risk of apothecia development

    Volunteers bury depots (50 sclerotia) in canola fields and report % sclerotia germination via smartphones

    Sclerotia on sterilized barley

    Harvest of sclerotia Sclerotia readily germinate with apothecia

    Maps of % sclerotia germination are posted on SaskCanola’s web site from May to August

  • Economic calculation

    ‘Gonna Change My Way Of Thinking’

    The following relationship between disease severity and yield loss is built into the calculator:

    % infected canola stems = 0.5% yield loss

    Example: 10% infected stems = 5% yield loss

    The App will advise growers to follow fungicide manufacturer’s instructions for fungicide rate and time of application

    Expected % infected stems at harvest

    Expected seed sales price

    Fungicide costs

    Expected yield

    All other input costs

    Results and fungicide recommendation

  • Technology transfer & user feed-back

    Project staff

    Extension specialists

    Canola growers

    Up-to-date information is easily distributed via App versions

    Like rings in water

  • Future research

    ¸ Finish transfer of sclerotinia resistance into canola quality background with good agronomy and yield

    ¸ Continue to investigate defence genes that prevent fungal penetration of the plant cell, PEN1, PEN2, PEN3, and identify new defense genes effective against sclerotinia

    ¸ Sclerotinia risk App for smartphones

  • Funding for sclerotinia research is greatly appreciated

    Canola Council of CanadaSclerotinia stem testing of coop lines (via WCC/RRC)Sclerotia depot project

    SaskCanolaSeed of resistant B. napus linesMolecular markersTransfer of sclerotinia resistance to canola Identification of defense genesSclerotinia isolate survey

    Weather Innovations In-kind via the sclerotia depot project

    Agriculture and Agri-Food CanadaAll of the above areas

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