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IRRI’s Collaborative Rice Research Activities in Kenya Rosemary Murori, Scientist IRRI - ESA. A ctivities. Evaluation and selection of new breeding lines On farm demonstrations Sharing of best performing lines with NARES to facilitate their breeding programs Characterization

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irri s collaborative rice research activities in kenya rosemary murori scientist irri esa

IRRI’s Collaborative Rice Research Activities in KenyaRosemary Murori, ScientistIRRI - ESA

slide3

Activities

  • Evaluation and selection of new breeding lines
  • On farm demonstrations
  • Sharing of best performing lines with NARES to facilitate their breeding programs
  • Characterization
  • Seed production training
  • Small scale farm machinery fabrication
  • Rice Knowledge Bank
  • Pathology studies
    • Results
    • Recommendations
slide4

Evaluation and selection of new breeding lines and on Farm Demos

ON -40 GSR Lines

-33- RBW-Uganda

AYT- 13 MET 2012 for stability and adaptability of target environment.

-IRRI-KARI Kibos joint demonstration

-

slide7

Neighbour-Joining tree of simple matching dissimilarity coefficient using SSR

Dendrogram using all genotypes included in study

Judy Joachim, Msc

slide9

6. Small scale farm machinery fabrication

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Hydro-Tiller testing at Mwea

characterization of pyricularia oryzae population in irrigated ecosystem in kenya

Characterization of Pyricularia oryzae population in irrigated ecosystem in Kenya

By:

Benson Ouma Nyongesa, Joseph Bigirimana, Beatrice A. Were, Rosemary Murori

NIB and Collaborators

slide13

Rice blast caused by P.oryzae is one of the major constraints to rice production in irrigated ecology in Kenya.

  • Understanding the diversity of blast population in target areas
  • Is essential for rice breeding programs focused on disease resistance.
  • Objectives: Characterize diversity of blast population and identify genes effective against blast population in irrigated ecosystem in Kenya.
slide15

MATERIALS AND METHODS

  • Sites: Mwea, West Kano and TARDA-Garsen.
  • 51 lines, (NILs & monogenic lines ) and 2 parents (CO39 & LTH genetic and 4 local varieties (BW 96, Basmati 270, I|TA 310).
  • Basmati 370 was used as susceptible check
  • Design: Row-Column design with 3 reps.
  • Scoring stage: 60 DAT using 0-5 scale rating system.
slide16

RESULTS

Mean squares for leaf blast lesion type across experimental sites in 2013.

slide17

Reaction patterns of 51 differential rice lines to natural blast population at experimental sites in 2013.

SitesR MR S HS

Mwea 2 15 29 5

West Kano 2 8 36 5

TARDA-Garsen 27 5 15 4

Key: R = resistant (scale: 0-2); MR = moderately resistant (scale = 3); S = susceptible (scale = 4); HS = highly susceptible (scale: 5)

slide18

Lines/varieties attacked by blast population at different sites in 2013.

  • Significant interaction between sites and lines, indicating that P. oryzae population and pressure differed in all the three sites was observed
  • Pathogen diversity:West ano (80%)>Mwea (66%)> TARDA-Garsen (36%)
  • Incidence of predominant lesion type: West Kano (90%)> TARDA-Garsen (82%)> Mwea (34%).
slide22

Reaction patterns of lines to natural blast population at TARDA-Garsen. Line 28 (Pita-2), Line 45 (Pik-p) in 2013.

slide23

CONCLUSION/RECOMMENDATION

  • High diversity of P.oryzae population was observed across the sites.
  • Disease pressure: West Kano> TARDA-Garsen>Mwea.
  • Re-evaluation of identified blast R genes in 2014.
  • Collection of blast pathogens races particularly from East Africa to be used along side others in the development of rice differential system.
slide24

ACKNOWLEDGEMENT

  • KARI,
  • MIAD,
  • NIB-(Ahero/West Kano & TARDA
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