250 likes | 359 Views
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
E N D
IRRI’s Collaborative Rice Research Activities in KenyaRosemary Murori, ScientistIRRI - ESA
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
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 -
Neighbour-Joining tree of simple matching dissimilarity coefficient using SSR Dendrogram using all genotypes included in study Judy Joachim, Msc
6. Small scale farm machinery fabrication - Hydro-Tiller testing at Mwea
Characterization of Pyricularia oryzae population in irrigated ecosystem in Kenya By: Benson Ouma Nyongesa, Joseph Bigirimana, Beatrice A. Were, Rosemary Murori NIB and Collaborators
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.
Rice blast disease in a farmers’ fields at the coastal region
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.
RESULTS Mean squares for leaf blast lesion type across experimental sites in 2013.
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)
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%).
Table 4. Differential lines carrying effective genes at different sites in 2013
Reaction patterns of differential lines to natural blast population at Mwea in 2013.
Plate 3. Reaction patterns of differential lines to natural blast population at West Kano in 2013.
Reaction patterns of lines to natural blast population at TARDA-Garsen. Line 28 (Pita-2), Line 45 (Pik-p) in 2013.
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.
ACKNOWLEDGEMENT • KARI, • MIAD, • NIB-(Ahero/West Kano & TARDA
Thanks r.murori@irri.org