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Maize Diseases in Asia

Daniel Jeffers CIMMYT/China, Yunnan Academy of
Agricultural Sciences, Institute of Food Crops
Kunming, Yunnan, d.jeffers@cgiar.org
Outline
•   The major diseases affecting maize in Asia
•   Climate change and the possible effects on pathogen profiles and disease
    incidence, especially in the tropical regions, concomitant with high
    temperatures
•   Progress through conventional breeding
•   Possibilities to implement marker-assisted breeding for improving disease
    resistance
•   Precision phenotyping for disease response
•   Conclusions and prospects
Background
•   Approximately 52 million ha of maize in the Asian region with roughly 30
    million of temperate maize in China
•   The remaining 22 million ha is subtropical and tropical maize.
•   Maize area in the region has increased by 13.2 % between 2006 and 2011
    with 86% of the increase in area occurring in China with the displacement of
    other crops including wheat, rice, and soybean (FAO Stat, USDA/FAS,
    2011)
•   Diseases cause roughly a 12% yield loss across the region, and to meet the
    demand for maize seen across Asia, breeding for host resistance is a key
    component of the germplasm improvement activities to reduce losses,
    provide yield stability, and maintain grain quality.
Major diseases affecting maize in Asia




                                                                                                                                                                                                                                                                      Fusarium verticillioides ear and stalk rot


                                                                                                                                                                                                                                                                                                                   Stenocarpella ear rot (Diploida)
                                                   Banded leaf and sheath blight




                                                                                                                                                       Phaeosphaeria leaf spot
                         Maize Mega environments




                                                                                                                                                                                                             Turcicum leaf blight




                                                                                                                                                                                                                                               Asperigillus ear ros
                                                                                                                                  Maydis leaf blight
                                                                                                 Downy mildews




                                                                                                                                                                                                 SCMV/MDMV
                                                                                                                 Gray leaf spot
                                                                                   Common rust




                                                                                                                                                                                 Polysora rust




                                                                                                                                                                                                                                    Ear rots
                 Temperate                         4.0                             3.0           5.0             2.5              3.5                  5.0                       2.5             2.5         1.5                    2.5        4.0                    2.5                                          3.5
                 Highlands                         4.0                             2.0           5.0             3.5              5.0                  3.0                       5.0             4.5         1.5                    1.8        4.8                    1.0                                          5.0
                 ST/Upper
                                                   2.5                             1.5           4.0             3.0              5.0                  3.0                       5.0             3.5         1.5                    2.0        4.0                    1.0                                          4.5
                 wet MA
                 ST/Lower
                                                   2.0                             1.5           1.5             2.0              2.0                  3.0                       2.5             3.0         1.5                    2.0        3.5                    1.5                                          3.0
                 wet MA
                 ST/Dry
                 mid-                              3.5                             3.0           2.0             4.0              3.0                  4.0                       2.5             2.0         4.0                    2.5        2.5                    1.5                                          3.0
                 altitudes
                 Wet
                                                   1.5                             4.5           1.0             3.8              1.3                  4.0                       1.5             2.0         3.5                    1.5        2.0                    1.0                                          2.5
                 lowlands
                 Dry
                                                   3.5                             5.0           2.0             5.0              1.8                  5.0                       1.5             2.0         4.8                    2.0        2.0                    1.0                                          3.5
                 lowlands

 †Classification based on a 1-5 scale (1 = economically very important; 5 = not economically important); Source: Mahuku, 2011
1                                2                  3




                                                 5   4
Systemic Downy Mildew Pathogens of Asia
Peronosclerospora spp.

1. Thai variant, sorghum downy mildew (P.
   sorghi, proposed P . zeae)
2. Java downy mildew (P. maydis)
3. Philippine downy mildew (P. philippinensis)
4. Rajasthan downy mildew (P. heteropogoni)
5. Sorghum downy mildew (P. sorghi)
Downy Mildew focus for Asian regional activities due to
   severe disease losses associated with infection.


         Breeding for resistance to this group of
         pathogens has been a major priority in
         tropical and subtropical environments
Primary tropical foliar
                                                diseases favored by
                                                warmer temperatures




polysora rust         maydis leaf blight
(Puccinia polysora)   (Bipolaris maydis)




Primary
subtropical and
temperate foliar
diseases favored
by cooler
temperatures
                      Common rust          Gray leaf spot          Turcicum leaf blight
                      (Puccinia sorghi)    (Cercospora zea-maydis) (Exserohilum turcicum)
Banded leaf and sheath blight
                 (Rhizoctonia solani AG1-IA ) predominant
Primarily tropical and subtropical disease favored by warm humid conditions
Fusarium graminearum ear rot   Stenocarpella maydis ear rot



    Favored by cooler
    temperatures
                                                                   Fusarium verticillioides ear rot
Major ear rots in
the Asian region                                               Important not only for direct losses, but
                                                               as well for the mycotoxins they produce
                                                               including aflatoxins, fumonisins,
  Favored by warmer                                            deoxynivalenol, zearalenone, and
  temperatures                                                 diplosporin that make the grain unfit and
                                                               potentially lethal for human or animal
                                Aspergillus flavus ear rot     consumption
Post flowering stalk rots (PFSR) most prevalent in the
region

Fusarium graminearum stalk rot (Gibberella)
Fusarium stalk rot (F. verticillioides syn F. moniliforme)
Stenocarpella maydis stalk rot (syn. Diplodia)
Macrophomina stalk rot (M. phaseolina)
Late wilt or Cephalosporium stalk rot (C. maydis)


Both Marcrophomina stalk rot and Fusarium stalk rot can be favored by high temperatures
Sugarcane Mosaic Virus. Maize Dwarf Mosaic Virus   Rice Black-Streaked Dwarf Virus (RBSDV)
                (SCMV/MDMV)
SCMV/MDMV is found in tropical to temperate areas, while RBSDV is primarily
a problem of the temperate China and a related virus, MRDV in Iran
Climate Change and Potential Change in Pathogen Profiles


 •Based on climate change models we can expect more extreme weather events
 in the future, and some areas including South Asia elevated temperatures.

 •Maize production will be effected and as well the pathogens of predominance
 can change based on the environmental conditions that favor their development.

 •It is difficult to predict where the changes will occur for foliar diseases, but stress
 related diseases including many of the ear rots and stalk rots can be expected to
 have a significant impact on maize production under these conditions. Most
 notable could be the severity of Fusarium ear rot and Aspergillus ear rot,
 Fusarium stalk rot, and Macrophomina stalk rot.

 •Linking improved agronomic practices including conservation agriculture,
 together with breeding activities for heat and drought stress, and selection for
 resistance to the stress related ear and stalk rots, would combine a more
 favorable environment with important yield stability and grain quality traits.
Progress for Improved Disease Resistance Through Conventional Breeding

•   Most disease resistance found in maize is quantitative resistance, and is
    oligogenic to polygenic. Few sources of qualitative resistance have been
    effectively used for maize.
•   Losses to many of the key diseases in the Asian region have been reduced
    significantly due the effective use of conventional breeding activities, though
    a good understanding of the basis of resistance often is lacking.
•   Population improvement activities over several cycles of selection, has
    significantly improved performance of the germplasm both for agronomic
    traits as well as quantitative resistance to maize diseases.
•   Resistance to the foliar diseases including maydis and turcicum leaf blights,
    gray leaf spot, polysora and common rust, and downy mildew are all
    diseases effectively controlled through conventional breeding, where under
    disease pressure the susceptible genotypes could be eliminated before
    recombining the germplasm.
•   The diseases where less progress has been achieved are banded leaf and
    sheath blight, post flowering stalk rots, ear rots, RBSDV in Central China
    and MRDV in Iran.
P501C4               P42C9, P44C10         P45C10               QPM line recycling
                                        S2                S7                       S2                S7

                             TLB     # Families   Accum    # Families   Accum   # Families   Accum    # Families   Accum

                             (1-5)                 %                     %                    %                      %
                              1          4         0.8         1         2.9        1         0.2         0.0       0.0
                             1.5        194       37.9         11       35.3       15         3.0         16.0      16.7
                              2         210       78.0         12       70.6       124       26.0         40.0      58.3
                             2.5        92        95.6         5        85.3       198       62.7         32.0      91.7
                              3         16        98.7         5        100.0      124       85.7         6.0       97.9
                             3.5         7        100.0        0          .        55        95.9         2.0      100.0
                              4          0          .          0          .        21        99.8         0.0        .
                             4.5         0          .          0          .         0        99.8         0.0        .
                              5          0          .          0                    1         100         0.0        .
                             total      523                    34                  539                    96
                            mean        1.9                    2.0                 2.6                    2.2

                            Evaluation on a disease scale of 1-5, 1= 0% infection, 5= 100% infection.


Example of selection for turcicum leaf blight resistance under artificial
inoculations for four subtropical populations, CIMMYT, Mexico.
Example of selection for resistance to sorghum downy mildew under artificial
inoculations. CIMMYT, Farm Suwan Thailand.


Material                                      % Downy mildew

                      0-10   11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100

Population 103        115     44    12    8      2     1       0   0     0     0

Population 147        97      33    15    4      1     1       0   0     0     0

Population 100 EVs    77      12    0     1      0     0       0   0     0     0

Population 145 EVs 237        23    3     1      0     0       0   0     0     0

Population 300 EVs    94      8     0     0      0     0       0   0     0     0

Population 345 EVs 155        6     0     0      0     0       0   0     0     0

MDR-DMR TLY 2007 324          11    4     0      0     0       0   0     0     0

Susceptible check      0      0     0     0      0     0       0   0     0     1

Source: Vasal, 1999
Progress in Understanding Disease Resistance Through the Use of
       Molecular Breeding Techniques in the Asian Region
 • The use of molecular markers to study the inheritance of resistance
   to disease has been used for many of the major maize diseases
   found in Asia, and has provided insight for the basis of quantitative
   resistance (Prasanna et al. 2010).
 • There has been successful tagging, validation and the transfer of
   resistance QTLs to susceptible genotypes in several studies, but
   even more studies have not been able to reach this goal of putting
   molecular assisted selection into an effective breeding program.
   Many reasons can account for this including a limited capacity to
   identify small effect QTLs, large genotype x environment
   interactions, and not being able to fine map the resistance QTLs.
Opportunities for improving the capacity to use molecular
  tools to develop molecular marker assisted breeding
 •   The development of association mapping through linkage disequilibrium
     analysis and the use of SNP markers, has greatly improved the power to
     dissect the inheritance of quantitative traits (Yan et al. 2011). This has the
     capacity to arrive at the gene level due to the coverage of the genome.
 •   Nested association mapping, with multiple parents included in crosses, and
     a common parent in all crosses, has also improved the capacity to
     understand the inheritance of complex disease traits (Kump et al. 2011).
 •   High throughput genotyping platforms are currently available and when
     linked with precision phenotyping in the field, can provide the information
     needed to effectively use MAS in a breeding program for complex traits.
     Current genotyping costs are dropping and will make this a method more
     adapted for use in breeding programs. CIMMYT activities will push for the
     use of high throughput genotyping in rapid cycle genomic selection, to
     develop robust germplasm with added stability for biotic and abiotic stress
     traits, in high yielding germplasm.
 •   The use of doubled haploids to speed up the breeding process will be an
     integral part of these changes.
Precision phenotyping
• Precision phenotyping is essential to take full advantage of the new
  molecular tools for the identification of complex quantitative traits,
  and will facilitate the effective use of genome wide selection in our
  breeding activities.
• This includes the use of an appropriate field design and statistical
  analysis, providing optimal environmental conditions for disease
  development, having virulent pathogens, and the capacity to record
  the most appropriate phenotypic traits associated with resistance at
  the optimum time.
• CIMMYT recognizes precision phenotyping is a limitation frequently
  for working with complex biotic and abiotic stress traits, and globally
  there will be activities to improve phenotyping within CIMMYT and
  by our research partners, through regional training courses.
Production of fungal cultures in
the lab for use in performing
artificial inoculations in the field.
Pathogen isolates should be
prescreened to use the most
virulent isolates in field
evaluations.
Turcicum leaf blight   Fusarium graminearum ear rot
                                                         F. verticillioides ear rot
   Maydis leaf blight     Aspergillus flavus ear rot

Artificial inoculations to characterize resistance attributes
of maize genotypes




        Downy Mildew                                       Sugarcane Mosaic Virus
                                                           Maize Dwarf Mosaic Virus
Precision phenotyping
• New techniques including metabalomics, and proteonomcis may be
  needed to work with some complex traits like ear rot resistance.
Seed based defense mechanisms implicated in resistance
to ear rots
Fusarium ear rot                      Aspergillus ear rot

                                      Cuticular Waxes
Pericarp thickness
                                      Î’-1,3 gluconase
Cuticular waxes
                                      14kDa trypsin inhibitor
Amylase inhibitor
                                      Pathogenesis-related proteins
Pathogenesis-related
                                      (PR10)
proteins (PR)
                                      Ribosome inactivating protein (RIP)
                                      Zeamatin
                                      Aldose Reductase (ALD)
                                      Glyoxalase I (GLXI)
                                      Anionic peroxidase
Gibberella ear rot                    Peroxiredoxin 1 (PER 1)
                                      Water stress inducible protein
4-ABOA                                (WSI)
Diferuloylputrescine                  16.9/17.2 kDa Small heat shock
E-ferulic acid                        protein
Dehydrodimers of ferulic acid         Globulin I and II
Guanylyl cyclase like protein         Late embryogenesis abundant
(ZmGC1)                               protein (LEAIII)
                                      Cupin domain containing protein
                                      (Zmcup)
Some of the Key Research Collaborative Activities for Improving our
 Capacity to Develop Disease Resistant Germplasm for Use in Asia

      CSISA I, CSISA II
      IMIC-Asia
      CCAFS
      NSFC Project, “Genetic dissection and molecular
      improvement of resistance to three major maize foliar
      diseases in China based on joint linkage-association
      mapping” led by Dr. Jianbing Yan, Huazhong Agricultural
      University (HZAU), Yunnan Academy of Agricultural
      Sciences (YAAS), Sichuan Agricultural University (SCAU)
      and CIMMYT
      DTMA Project, Africa
      IMAS Project, Africa
      MasAgro Project, Mexico
Conclusions
•   Disease resistance breeding activities in the Asian region have provided
    many useful products for adding yield stability and quality to Asian maize
    production.
•   Several diseases including banded leaf and sheath blight, ear rots, post
    flowering stalk rots, RBDSV and MRDV still have not identified diverse
    resistant sources as seen with many of the foliar blights, and downy mildew.
•   To meet the great demands for the future, including a production
    environment often less favorable due to climate change, new tools including
    rapid cycle genomic selection will be needed to develop robust abiotic
    stress tolerant, disease resistant high yielding germplasm.
•   Networking will improve the capacity of all research groups in the region to
    benefit from the new molecular tools, and deliver the best products to the
    farmers.

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S2.1 Maize Diseases in Asia

  • 1. Maize Diseases in Asia Daniel Jeffers CIMMYT/China, Yunnan Academy of Agricultural Sciences, Institute of Food Crops Kunming, Yunnan, d.jeffers@cgiar.org
  • 2. Outline • The major diseases affecting maize in Asia • Climate change and the possible effects on pathogen profiles and disease incidence, especially in the tropical regions, concomitant with high temperatures • Progress through conventional breeding • Possibilities to implement marker-assisted breeding for improving disease resistance • Precision phenotyping for disease response • Conclusions and prospects
  • 3. Background • Approximately 52 million ha of maize in the Asian region with roughly 30 million of temperate maize in China • The remaining 22 million ha is subtropical and tropical maize. • Maize area in the region has increased by 13.2 % between 2006 and 2011 with 86% of the increase in area occurring in China with the displacement of other crops including wheat, rice, and soybean (FAO Stat, USDA/FAS, 2011) • Diseases cause roughly a 12% yield loss across the region, and to meet the demand for maize seen across Asia, breeding for host resistance is a key component of the germplasm improvement activities to reduce losses, provide yield stability, and maintain grain quality.
  • 4. Major diseases affecting maize in Asia Fusarium verticillioides ear and stalk rot Stenocarpella ear rot (Diploida) Banded leaf and sheath blight Phaeosphaeria leaf spot Maize Mega environments Turcicum leaf blight Asperigillus ear ros Maydis leaf blight Downy mildews SCMV/MDMV Gray leaf spot Common rust Polysora rust Ear rots Temperate 4.0 3.0 5.0 2.5 3.5 5.0 2.5 2.5 1.5 2.5 4.0 2.5 3.5 Highlands 4.0 2.0 5.0 3.5 5.0 3.0 5.0 4.5 1.5 1.8 4.8 1.0 5.0 ST/Upper 2.5 1.5 4.0 3.0 5.0 3.0 5.0 3.5 1.5 2.0 4.0 1.0 4.5 wet MA ST/Lower 2.0 1.5 1.5 2.0 2.0 3.0 2.5 3.0 1.5 2.0 3.5 1.5 3.0 wet MA ST/Dry mid- 3.5 3.0 2.0 4.0 3.0 4.0 2.5 2.0 4.0 2.5 2.5 1.5 3.0 altitudes Wet 1.5 4.5 1.0 3.8 1.3 4.0 1.5 2.0 3.5 1.5 2.0 1.0 2.5 lowlands Dry 3.5 5.0 2.0 5.0 1.8 5.0 1.5 2.0 4.8 2.0 2.0 1.0 3.5 lowlands †Classification based on a 1-5 scale (1 = economically very important; 5 = not economically important); Source: Mahuku, 2011
  • 5. 1 2 3 5 4 Systemic Downy Mildew Pathogens of Asia Peronosclerospora spp. 1. Thai variant, sorghum downy mildew (P. sorghi, proposed P . zeae) 2. Java downy mildew (P. maydis) 3. Philippine downy mildew (P. philippinensis) 4. Rajasthan downy mildew (P. heteropogoni) 5. Sorghum downy mildew (P. sorghi)
  • 6. Downy Mildew focus for Asian regional activities due to severe disease losses associated with infection. Breeding for resistance to this group of pathogens has been a major priority in tropical and subtropical environments
  • 7. Primary tropical foliar diseases favored by warmer temperatures polysora rust maydis leaf blight (Puccinia polysora) (Bipolaris maydis) Primary subtropical and temperate foliar diseases favored by cooler temperatures Common rust Gray leaf spot Turcicum leaf blight (Puccinia sorghi) (Cercospora zea-maydis) (Exserohilum turcicum)
  • 8. Banded leaf and sheath blight (Rhizoctonia solani AG1-IA ) predominant Primarily tropical and subtropical disease favored by warm humid conditions
  • 9. Fusarium graminearum ear rot Stenocarpella maydis ear rot Favored by cooler temperatures Fusarium verticillioides ear rot Major ear rots in the Asian region Important not only for direct losses, but as well for the mycotoxins they produce including aflatoxins, fumonisins, Favored by warmer deoxynivalenol, zearalenone, and temperatures diplosporin that make the grain unfit and potentially lethal for human or animal Aspergillus flavus ear rot consumption
  • 10. Post flowering stalk rots (PFSR) most prevalent in the region Fusarium graminearum stalk rot (Gibberella) Fusarium stalk rot (F. verticillioides syn F. moniliforme) Stenocarpella maydis stalk rot (syn. Diplodia) Macrophomina stalk rot (M. phaseolina) Late wilt or Cephalosporium stalk rot (C. maydis) Both Marcrophomina stalk rot and Fusarium stalk rot can be favored by high temperatures
  • 11. Sugarcane Mosaic Virus. Maize Dwarf Mosaic Virus Rice Black-Streaked Dwarf Virus (RBSDV) (SCMV/MDMV) SCMV/MDMV is found in tropical to temperate areas, while RBSDV is primarily a problem of the temperate China and a related virus, MRDV in Iran
  • 12. Climate Change and Potential Change in Pathogen Profiles •Based on climate change models we can expect more extreme weather events in the future, and some areas including South Asia elevated temperatures. •Maize production will be effected and as well the pathogens of predominance can change based on the environmental conditions that favor their development. •It is difficult to predict where the changes will occur for foliar diseases, but stress related diseases including many of the ear rots and stalk rots can be expected to have a significant impact on maize production under these conditions. Most notable could be the severity of Fusarium ear rot and Aspergillus ear rot, Fusarium stalk rot, and Macrophomina stalk rot. •Linking improved agronomic practices including conservation agriculture, together with breeding activities for heat and drought stress, and selection for resistance to the stress related ear and stalk rots, would combine a more favorable environment with important yield stability and grain quality traits.
  • 13. Progress for Improved Disease Resistance Through Conventional Breeding • Most disease resistance found in maize is quantitative resistance, and is oligogenic to polygenic. Few sources of qualitative resistance have been effectively used for maize. • Losses to many of the key diseases in the Asian region have been reduced significantly due the effective use of conventional breeding activities, though a good understanding of the basis of resistance often is lacking. • Population improvement activities over several cycles of selection, has significantly improved performance of the germplasm both for agronomic traits as well as quantitative resistance to maize diseases. • Resistance to the foliar diseases including maydis and turcicum leaf blights, gray leaf spot, polysora and common rust, and downy mildew are all diseases effectively controlled through conventional breeding, where under disease pressure the susceptible genotypes could be eliminated before recombining the germplasm. • The diseases where less progress has been achieved are banded leaf and sheath blight, post flowering stalk rots, ear rots, RBSDV in Central China and MRDV in Iran.
  • 14. P501C4 P42C9, P44C10 P45C10 QPM line recycling S2 S7 S2 S7 TLB # Families Accum # Families Accum # Families Accum # Families Accum (1-5) % % % % 1 4 0.8 1 2.9 1 0.2 0.0 0.0 1.5 194 37.9 11 35.3 15 3.0 16.0 16.7 2 210 78.0 12 70.6 124 26.0 40.0 58.3 2.5 92 95.6 5 85.3 198 62.7 32.0 91.7 3 16 98.7 5 100.0 124 85.7 6.0 97.9 3.5 7 100.0 0 . 55 95.9 2.0 100.0 4 0 . 0 . 21 99.8 0.0 . 4.5 0 . 0 . 0 99.8 0.0 . 5 0 . 0 1 100 0.0 . total 523 34 539 96 mean 1.9 2.0 2.6 2.2 Evaluation on a disease scale of 1-5, 1= 0% infection, 5= 100% infection. Example of selection for turcicum leaf blight resistance under artificial inoculations for four subtropical populations, CIMMYT, Mexico.
  • 15. Example of selection for resistance to sorghum downy mildew under artificial inoculations. CIMMYT, Farm Suwan Thailand. Material % Downy mildew 0-10 11-20 21-30 31-40 41-50 51-60 61-70 71-80 81-90 91-100 Population 103 115 44 12 8 2 1 0 0 0 0 Population 147 97 33 15 4 1 1 0 0 0 0 Population 100 EVs 77 12 0 1 0 0 0 0 0 0 Population 145 EVs 237 23 3 1 0 0 0 0 0 0 Population 300 EVs 94 8 0 0 0 0 0 0 0 0 Population 345 EVs 155 6 0 0 0 0 0 0 0 0 MDR-DMR TLY 2007 324 11 4 0 0 0 0 0 0 0 Susceptible check 0 0 0 0 0 0 0 0 0 1 Source: Vasal, 1999
  • 16. Progress in Understanding Disease Resistance Through the Use of Molecular Breeding Techniques in the Asian Region • The use of molecular markers to study the inheritance of resistance to disease has been used for many of the major maize diseases found in Asia, and has provided insight for the basis of quantitative resistance (Prasanna et al. 2010). • There has been successful tagging, validation and the transfer of resistance QTLs to susceptible genotypes in several studies, but even more studies have not been able to reach this goal of putting molecular assisted selection into an effective breeding program. Many reasons can account for this including a limited capacity to identify small effect QTLs, large genotype x environment interactions, and not being able to fine map the resistance QTLs.
  • 17. Opportunities for improving the capacity to use molecular tools to develop molecular marker assisted breeding • The development of association mapping through linkage disequilibrium analysis and the use of SNP markers, has greatly improved the power to dissect the inheritance of quantitative traits (Yan et al. 2011). This has the capacity to arrive at the gene level due to the coverage of the genome. • Nested association mapping, with multiple parents included in crosses, and a common parent in all crosses, has also improved the capacity to understand the inheritance of complex disease traits (Kump et al. 2011). • High throughput genotyping platforms are currently available and when linked with precision phenotyping in the field, can provide the information needed to effectively use MAS in a breeding program for complex traits. Current genotyping costs are dropping and will make this a method more adapted for use in breeding programs. CIMMYT activities will push for the use of high throughput genotyping in rapid cycle genomic selection, to develop robust germplasm with added stability for biotic and abiotic stress traits, in high yielding germplasm. • The use of doubled haploids to speed up the breeding process will be an integral part of these changes.
  • 18. Precision phenotyping • Precision phenotyping is essential to take full advantage of the new molecular tools for the identification of complex quantitative traits, and will facilitate the effective use of genome wide selection in our breeding activities. • This includes the use of an appropriate field design and statistical analysis, providing optimal environmental conditions for disease development, having virulent pathogens, and the capacity to record the most appropriate phenotypic traits associated with resistance at the optimum time. • CIMMYT recognizes precision phenotyping is a limitation frequently for working with complex biotic and abiotic stress traits, and globally there will be activities to improve phenotyping within CIMMYT and by our research partners, through regional training courses.
  • 19. Production of fungal cultures in the lab for use in performing artificial inoculations in the field. Pathogen isolates should be prescreened to use the most virulent isolates in field evaluations.
  • 20. Turcicum leaf blight Fusarium graminearum ear rot F. verticillioides ear rot Maydis leaf blight Aspergillus flavus ear rot Artificial inoculations to characterize resistance attributes of maize genotypes Downy Mildew Sugarcane Mosaic Virus Maize Dwarf Mosaic Virus
  • 21. Precision phenotyping • New techniques including metabalomics, and proteonomcis may be needed to work with some complex traits like ear rot resistance.
  • 22. Seed based defense mechanisms implicated in resistance to ear rots Fusarium ear rot Aspergillus ear rot Cuticular Waxes Pericarp thickness Î’-1,3 gluconase Cuticular waxes 14kDa trypsin inhibitor Amylase inhibitor Pathogenesis-related proteins Pathogenesis-related (PR10) proteins (PR) Ribosome inactivating protein (RIP) Zeamatin Aldose Reductase (ALD) Glyoxalase I (GLXI) Anionic peroxidase Gibberella ear rot Peroxiredoxin 1 (PER 1) Water stress inducible protein 4-ABOA (WSI) Diferuloylputrescine 16.9/17.2 kDa Small heat shock E-ferulic acid protein Dehydrodimers of ferulic acid Globulin I and II Guanylyl cyclase like protein Late embryogenesis abundant (ZmGC1) protein (LEAIII) Cupin domain containing protein (Zmcup)
  • 23. Some of the Key Research Collaborative Activities for Improving our Capacity to Develop Disease Resistant Germplasm for Use in Asia CSISA I, CSISA II IMIC-Asia CCAFS NSFC Project, “Genetic dissection and molecular improvement of resistance to three major maize foliar diseases in China based on joint linkage-association mapping” led by Dr. Jianbing Yan, Huazhong Agricultural University (HZAU), Yunnan Academy of Agricultural Sciences (YAAS), Sichuan Agricultural University (SCAU) and CIMMYT DTMA Project, Africa IMAS Project, Africa MasAgro Project, Mexico
  • 24. Conclusions • Disease resistance breeding activities in the Asian region have provided many useful products for adding yield stability and quality to Asian maize production. • Several diseases including banded leaf and sheath blight, ear rots, post flowering stalk rots, RBDSV and MRDV still have not identified diverse resistant sources as seen with many of the foliar blights, and downy mildew. • To meet the great demands for the future, including a production environment often less favorable due to climate change, new tools including rapid cycle genomic selection will be needed to develop robust abiotic stress tolerant, disease resistant high yielding germplasm. • Networking will improve the capacity of all research groups in the region to benefit from the new molecular tools, and deliver the best products to the farmers.