RICE
GCP Project Number: G7010.04.01
Improving rice productivity in lowland
ecosystems of Burkina Faso, Mali and
Nigeria t...
Plan
• Overall Project
• Highlights
• Conclusion
Project Organization
WP1- Characterization of the IV-TPE, establishment of drought evaluation
sites and description of ide...
Highlights: WP1- Consolidating
knowledge
• The extend of inland valleys in the TPE in Nigeria, Mali and Burkina Faso
were ...
Highlights: WP2&3- Phenotyping and
Breeding
 Implementation of efficient Phenotyping network
Highlights: WP2&3- Phenotyping and
Breeding
• 6 populations (B6144, ITA212, WAB638-1, BW348-
1, Kogoni 91-1 and IRAT104) d...
 Phenotyping for drought tolerance
Highlights: WP2&3- Phenotyping and
Breeding
• MARS POP 1 (IR64 X B6144)
• 230 lines ev...
 Phenotyping for Yield Potential
Highlights: WP2&3- Phenotyping and
Breeding
POP 1 Mali
POP 1 in Burkina
• MARS POP 1 (IR...
General scheme of the MARS procedure
(From IBP portal)
- Cumulate favourable alleles at QTLs of
interest
- Recombination o...
Highlights: WP4- Capacity and
Community Building
 Information and technology exchange within the Rice CI network
• Regula...
Highlights: WP5- Project and information
management
 Data gathering and information management
• Phenotyping databases, u...
• Information on farmers’ perception and management of drought in the
TPE is available through surveys involving around 20...
• Genotypic data available on three MARS pop
• Seven consistent QTLs were subsets out of 30
Conclusion
• A three steps opt...
Collaborating Institutes
Center of Excellence for Rice Research
NCRI
Thank you !!!!!!!!
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GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, Mali and Nigeria through marker-assisted recurrent selection for drought tolerance and yield potential -- M-N Ndjiondjop

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GRM 2013: Improving rice productivity in lowland ecosystems of Burkina Faso, Mali and Nigeria through marker-assisted recurrent selection for drought tolerance and yield potential -- M-N Ndjiondjop

  1. 1. RICE GCP Project Number: G7010.04.01 Improving rice productivity in lowland ecosystems of Burkina Faso, Mali and Nigeria through marker-assisted recurrent selection for drought tolerance and yield potential Ndjiondjop MN, Venuprasad R, Futakuchi K, Dieng I, Sow M, Cisse F, Hema D, Maji A.T, Audebert A, Kumar A and Ahmadi N
  2. 2. Plan • Overall Project • Highlights • Conclusion
  3. 3. Project Organization WP1- Characterization of the IV-TPE, establishment of drought evaluation sites and description of ideotypes fitting major sub-classes of TPE. • Characterization of lowland environment • Establishing drought evaluation sites and • Designing Ideotype for TPE WP2- Phenotyping • For drought tolerance the GCP phase 1 genetic materials, MARS populations, and promising lines • For yield & other traits under various levels of environment control WP3- Breeding • Developing breeding populations • Genotyping MARS populations • QTL analysis • Combining favourable alleles at target QTLs WP4- Capacity and Community Building • Putting in place the rice drought molecular biology and breeding community of practice for West Africa • Capacity building (PhD student and short training on specific topics) WP5- Project and information management • For drought tolerance • For yield & other traits under various levels of environment control
  4. 4. Highlights: WP1- Consolidating knowledge • The extend of inland valleys in the TPE in Nigeria, Mali and Burkina Faso were determined using a digital elevation model (DEM) • Information on farmers’ perception and management of drought in the TPE is available through surveys involving around 200 farmers in Mali and two states in Nigeria • Validation of crop simulation modeling is on going from 2 years field experiments data
  5. 5. Highlights: WP2&3- Phenotyping and Breeding  Implementation of efficient Phenotyping network
  6. 6. Highlights: WP2&3- Phenotyping and Breeding • 6 populations (B6144, ITA212, WAB638-1, BW348- 1, Kogoni 91-1 and IRAT104) developed with a common parent (IR64) • 4 of them evaluated for general adaptability and phenotypic acceptability • 3 (B6144, Kogoni and ITA212) evaluated for yield potential during wet season • 3 evaluated (B6144, Kogoni and ITA212) for drought tolerance during dry season  Populations developed
  7. 7.  Phenotyping for drought tolerance Highlights: WP2&3- Phenotyping and Breeding • MARS POP 1 (IR64 X B6144) • 230 lines evaluated in 6 field trials in Burkina, Nigeria, Mali, AfricaRice- Ibadan, CIAT and IRRI and 1 controlled-trials (AfricaRice) • 62 lines evaluated in 4 field trials in Burkina, Nigeria, Mali, AfricaRice- Ibadan, and 1 controlled-trials (AfricaRice) Location Traits Population mean Reduction (%) Well-watered Stressed Burkina Days to flowering 106.5 114.0 -7.0 Ibadan Days to flowering 78.0 79.4 -1.8 IRRI Days to flowering 85.3 102.9 -20.6 Mali Days to flowering 94.2 98.5 -4.6 Nigeria Days to flowering 60.6 126.5 - ROS Days to flowering 65.4 67.9 -3.7 Burkina Grain yield (t.ha) 2.3 1.2 47.5 Ibadan Grain yield (t.ha) 4.9 1.3 72.3 IRRI Grain yield (g) 650.3 82.0 87.4 Mali Grain yield (g) 509.3 335.1 34.2 Nigeria Grain yield (g) 293.2 341.3 - ROS Grain yield (g) 249.0 68.8 72.4 Burkina Plant height 100.7 93.2 7.5 Ibadan Plant height 120.7 82.4 31.8 IRRI Plant height 107.8 79.2 26.6 Mali Plant height 101.4 89.2 12.1 Nigeria Plant height 136.5 72.7 46.7 ROS Plant height 119.2 90.9 23.7 • MARS POP 2 (IR64 X ITA212) • 230 lines evaluated in 4 field trials in Burkina, Nigeria, Mali, AfricaRice-Ibadan, and 1 controlled-trials (AfricaRice) • MARS POP 3 (IR64 X Kogoni91-1) • 144 lines evaluated under controlled-trials (AfricaRice)
  8. 8.  Phenotyping for Yield Potential Highlights: WP2&3- Phenotyping and Breeding POP 1 Mali POP 1 in Burkina • MARS POP 1 (IR64 X B6144) • 230 lines evaluated in 7 field trials in Burkina, Nigeria, Mali, AfricaRice-Ibadan, • MARS POP 3 (IR64 x Kogoni 91-1) • 230 lines evaluated in 2 field trials in Mali and AfricaRice- Cotonou Trait: Yield Example of Promising lines Nigeria (Badeggi VB) AfricaRice- Ibadan (VF) IRB-MR-463 **** ** IRB-MR-4 **** - IRB-MR-176 **** - IRB-MR-197 **** - IRB-MR-215 *** * IR64 - - B6144F - - **** >> 10 checks, ***>> 9 checks , ** >> 7 checks, **>> 4 checks PlotYieldVFIbadan 20 200 14001200800400 120 100 600 1000 0 80 60 40 Plotyield(g) POP 3 at Cotonou
  9. 9. General scheme of the MARS procedure (From IBP portal) - Cumulate favourable alleles at QTLs of interest - Recombination of complementary lines (R) - MAS of the best recombinations Iteration of R & MAS = MARS QTL detection on F5:6 Multiple trait (yield, days to flowering, plant height) & Multiple environments Genotyping IR4 x B6144F (484 SNPs) IR64 x ITA212 ( 369 SNPs) IR64 x Kogoni (305 SNPs) 7 parents selected (IR64, B6144, ITA212, BW348, WAB638, Kogoni91, IRAT104 Genotyping parental lines with 805 SNPs markers 6 MARS bi-parental populations developed - 1st pop: 230 lines from IR64 x B6144F (14 trials) - 2nd pop: 200-230 lines from IR64 x ITA212 (5 trials) - 3rd pop: IR64 x Kogoni91-1 (3 trials) Simulation using IBP tools (OptiMAS) Phenotyping for DRT and YP in TPEs K_id10242330.0 K_id100151611.8 K_id100197312.8 K_id100215813.1 K_id100289917.7 K_id100410927.7 K_id100459130.0 K_id100484931.3 K_id100512533.5 K_id100546537.8 K_id100797561.3 K_id100826764.4 K_id101120078.8 K_id101157880.4 K_id101248193.4 K_id101266694.7 K_id101286495.8 K_id101334298.1 K_id101341698.3 K_id1013855101.3 K_id1013920101.4 K_id1013967101.5 K_id1014452103.2 K_id1018345127.6 K_id1024503155.5 1 K_id20002352.3 K_id20008356.5 K_id200183116.3 K_id200211019.1 K_id200281126.7 K_id200339333.8 K_id200471148.7 K_id200648656.8 K_id200679558.6 K_id200746171.1 K_id200752678.7 K_id200759779.2 K_id200779780.6 K_id201035798.5 K_id2011302106.8 K_id2012408123.0 K_id2012453123.5 K_id2012558123.9 K_12124.1 K_id2016060156.7 K_id2016584161.2 2 K_id30001113.0 K_97.7 K_id300383935.2 K_id300457143.5 K_id300514548.0 K_id300521648.6 K_id300534948.8 K_id300672162.5 K_id300680863.7 K_id300760471.5 K_id300833384.3 K_id300839085.5 K_id301009489.3 K_id301045991.3 K_id3014586140.3 K_id3017784160.9 K_id3018242164.4 3 K_id40001701.8 K_id400111310.5 K_id400188212.5 K_id400388822.9 K_id400429426.7 K_id400512039.0 K_id400534243.9 K_id4009930100.5 K_id4010708107.2 K_id4010713107.3 K_id4011259114.0 K_id4011696122.6 K_id4011781123.4 K_id4012434132.7 4 K_id50115580.0 K_id500095316.0 K_id500128121.8 K_id500296040.0 K_id500303441.4 K_id500309241.8 K_id500341745.3 K_id500363847.4 K_id500611658.7 K_id500623659.3 K_id500633260.1 K_id500812277.2 K_id500859080.8 K_id5011201103.2 K_id5013100110.9 K_id5013743114.8 K_id5014338117.9 5 K_id60001342.8 K_id60007435.6 K_id60009117.3 K_id60012068.4 K_89.6 K_id600153511.2 K_id600268714.9 K_id600334119.2 K_id600340320.2 K_id600349825.7 K_id600358032.6 K_id600382934.4 K_id600402935.3 K_id600448140.4 K_id600486847.1 K_id600494649.7 K_id600496950.3 K_id600633660.2 K_id600738664.8 K_id600754065.7 K_id600905567.0 K_id601132478.2 K_id601141379.0 K_id601208085.0 K_id601223686.2 K_id601242588.6 K_id601248788.8 K_id601265891.2 K_id601343496.5 K_id601352996.8 K_id601372097.9 K_id6016490116.8 K_id6016589118.5 K_id6016941124.9 6 K_id70003040.0 K_id70000632.1 K_id70001425.3 K_id70002538.4 K_id700038410.2 K_id700079843.7 K_id700242752.7 K_id700280163.0 K_id700284863.3 K_id700304769.6 K_id700305969.8 K_id700345976.8 K_id700374881.0 K_id7005611111.7 7 K_id800087625.4 K_id800097526.1 K_id800133134.4 K_id800147736.7 K_id800164140.9 K_id800166741.0 K_id800231446.2 K_id800255449.6 K_id800295452.1 K_id800362654.8 K_id800469260.6 K_id800498666.0 K_id800536171.3 K_id800544572.0 K_id800552573.4 K_id800558173.9 8 K_id90010292.8 K_id900225514.5 K_id900250519.8 K_id900253220.6 K_id900256325.1 K_id900318838.3 K_id900448657.2 K_id900717181.5 K_id900725984.2 K_id900728785.5 K_id900762293.1 K_id900776394.5 9 K_id100000281.1 K_id100004984.6 K_id100010387.9 K_id1000131810.3 K_id1000540249.1 K_id1000691075.5 K_id1000696377.5 10 K_id1100078412.7 K_id1100085814.6 K_id1100098017.7 K_id1100276435.2 K_id1100414855.7 K_id1100564660.4 K_id1100762580.7 K_id1100784081.9 K_id1100821487.6 K_id1100852589.1 K_id1100867889.2 K_id1100911794.8 K_id11009930102.8 K_id11009984103.3 K_id11010335109.4 K_id11010502111.6 K_id11010811114.4 K_id11011505117.7 11 K_id1200122426.9 K_id1200488553.3 K_id1200559258.0 K_id1200567760.0 K_id1200723175.4 K_id1200740777.4 K_id1200762981.4 K_id1200828592.8 K_id1200832893.4 K_id1200866596.4 12 IR64 x B6144 Highlights: WP2&3- Phenotyping and Breeding: Summary
  10. 10. Highlights: WP4- Capacity and Community Building  Information and technology exchange within the Rice CI network • Regular Monitoring tours organized and good germplasm exchange between partners Recalibrating Diviner 2000 in Burkina Monitoring tour in Mali • On-site training are organized on-demand • CIRAD to AfricaRice for IR thermography and fluorimetry • AfricaRice to NARS partners Diviner 2000, IBP tools, etc Reviewing data recording in Mali • 3 PhD and one MSc students on board with focus on indirect physiological methods for drought evaluation, exploitation of O. glaberrima drought tolerance potential and increasing yield potential using MARS • Development of linkage with other projects: AfricaRice Breeding Task Force, GRiSP Phenotyping Task Force Field preparation for drought experiment in Burkina
  11. 11. Highlights: WP5- Project and information management  Data gathering and information management • Phenotyping databases, using IBWorkflow System, established at AfricaRice and NARS countries (more than 15 trials already loaded) • Data analysis strategy established (collection, quality control, statistical analysis, QTL analysis, Simulation and decision) • Regular Project updates and annual technical report developed and shared
  12. 12. • Information on farmers’ perception and management of drought in the TPE is available through surveys involving around 200 farmers in Mali and Nigeria. • An efficient drought phenotyping network was established Conclusion • MARS POP 1 (IR64 X B6144) phenotyped for drought tolerance and yield potential in 15 trials • MARS POP 2 (IR64 X ITA212) evaluated for drought tolerance in 4 field trials in Burkina, Nigeria, Mali, AfricaRice-Ibadan, and 1 controlled-trials (AfricaRice) • MARS POP3 (IR64 x Kogoni1-1) evaluated for drought and yield potential in Cotonou and Mali
  13. 13. • Genotypic data available on three MARS pop • Seven consistent QTLs were subsets out of 30 Conclusion • A three steps optimization process was undertaken. 1) the genetic value of each line was estimated using genotypic data; 2) Six candidate lines are selected; 3) the expected genetic value of the progeny crosses between these lines was computed and crosses are being made. • Improved material identified at each cycle of selection will join the AfricaRice and NARS partners’ varieties development and release pipelines. This is already the case for the lines with improved yield stability
  14. 14. Collaborating Institutes Center of Excellence for Rice Research NCRI Thank you !!!!!!!!

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