Evaluation of rice (Oryza sativa l.) genotypes for yield and resistance to blast disease (Magnaporthe oryzae) in Kenya


  • Grace Nyokabi Ruiru Department of Crops, Horticulture and Soils, Egerton University
  • Paul Kiprotich Kimurto Department of Crops, Horticulture and Soils, Egerton University
  • Miriam Kawritha Charimbu
  • John Kimani


Blast disease, Disease resistance, Rice genotypes, Yield


Rice (Oryza sativa L) is a staple food for approximately 3.5 billion people of the world. Kenya is insufficient of rice by 75%. This is with an annual production of approximately 150,000 metric tonnes against demand of 620,304 metric tonnes as of 2018. . Rice blast Magnaporthe oryzae is one of the limiting factors of rice production across the world and in Kenya it affects rice production up to 70-80% in disease favorable weather conditions. The objective of this study was to identify well adapted high yielding varieties that are resistant/tolerant to rice blast in major rice growing areas. Twenty five lowland and upland rice genotypes were evaluated for two seasons in Ahero National irrigation board scheme and Kenya Agricultural and Livestock Research Organization (KARLO), Industrial Crops Research Institute (ICRI), Mwea.The experiment was laid out in a partially balanced lattice design (5 x 5) and replicated three times. Data collected was on plant height, yield, biomass, 1,000 grain weight, days to flowering, booting and panicle initiation. Rice leaf blast disease was scored using the 0-9 visual subjective scoring scale from the Institute of plant molecular biology, IRRI. Data was subjected to analysis of variance using statistical analysis software version 9.1 and means separated using Duncan’s multiple range test at ?=0.05. Genotypes were significantly different for yield, agronomic traits and blast disease.  In Mwea high yielding genotypes were ARIZETEJGOLD, KOMBOKA and 08FAN10 with an average of 5.11, 4.45 and 4.02 tonnes/hectare respectively. In Ahero 08FAN10, KOMBOKA and ARIZETEJGOLD with 9.37, 9.00, 8.82 tonnes/hectare. Blast disease scores in both Mwea and Ahero, indicate that genotypes 08FAN10, IR2793 and CHINA HYBRID were the most resistant/tolerant with a disease score of 0.08, 0.58 and 0.50 respectively while BASMATI 217 was the moderately susceptible, followed by SARO 5 and KOMBOKA with a disease score of 5.33, 3.00 and 2.41 respectively across the two sites and this affected their production. The April-June season was not suitable due to the cold stress in Mwea and it reduced the yield by 25% and blast disease. Therefore this study recommends that genotypes 08FAN10, KOMBOKA and ARIZETEJGOLD be evaluated in other rice growing areas and for other traits. The released varieties such as KOMBOKA should be promoted for production by the farmers.





Abade, H., Bokosi, J. M., Mwangwela, A. M., Mzengeza, T. R., & Abdala, A. J. (2016). Characterization and evaluation of twenty rice (Oryza sativa L.) genotypes under irrigated ecosystems in Malawi and Mozambique. African Journal of Agricultural Research, 11(17), 1559-1568.

Atera, E. A., Onyancha, F. N., & Majiwa, E. B. (2018). Production and marketing of rice in Kenya: Challenges and opportunities. Journal of Development and Agricultural Economics, 10(3), 64-70.

Atera, E. A., Onyango, J. C., Azuma, T., Asanuma, S., & Itoh, K. (2011). Field evaluation of selected NERICA rice cultivars in Western Kenya. African Journal of agricultural research, 6(1), 60-66.

Bansal UK, Saini RG, Rani NS (2000). Heterosis and combining ability for yield, its components, and quality traits in some scented rices (Oryza sativa L.). Trop. Agric. (Trinidad) 77:181-187.

Gomez KA, Gomez AA (1984). Statistical procedures for agricultural research. Wiley, Philippines. 680 p.

Huang, M., ZOU, Y. B., Jiang, P., Bing, X. I. A., Md, I., & Ao, H. J. (2011). Relationship between grain yield and yield components in super hybrid rice. Agricultural Sciences in China, 10(10), 1537-1544.

IRRI (2013). Rice knowledge bank. International Rice Research Institute. Manila, the Philippines. < http://www.knowledgebank.irri.org/ipm/rice-blast.html>.

Khush, G. S. (2005). What it will take to Feed 5.0 Billion Rice consumers in 2030. Plant Molecular Biology, 59(1), 1–6.

Lakew, T., Tariku, S., Alem, T., & Bitew, M. (2014). Agronomic performances and stability analysis of upland rice genotypes in North West Ethiopia. International Journal of Scientific and Research Publications, 4(4), 1-9.

Mati, B. M., Wanjogu, R., Odongo, B., & Home, P. G. (2011). Introduction of the system of rice intensification in Kenya: experiences from Mwea irrigation scheme. Paddy and Water Environment, 9(1), 145-154.

Ministry of Agriculture, livestock, fisheries state department for crop and agriculture research National Rice Development Strategy-ii (2019 – 2030).

Nyamai, M., Mati, B. M., Home, P. G., Odongo, B., Wanjogu, R., & Thuranira, E. G. (2012). Improving land and water productivity in basin rice cultivation in Kenya through System of Rice Intensification (SRI). Agricultural Engineering International: CIGR Journal, 14(2), 1-9.

Osman, K. A., Mustafa, A. M., Ali, F., Yonglain, Z., & Fazhan, Q. (2012). Genetic variability for yield and related attributes of upland rice genotypes in semi-arid zone (Sudan). African Journal of Agricultural Research, 7(33), 4613-4619.

Pooja, K., & Katoch, A. (2014). Past, present and future of rice blast management. Plant Science Today, 1(3), 165-173.

Ribot, C., Hirsch, J., Balzergue, S., Tharreau, D., Nottéghem, J. L., Lebrun, M. H., & Morel, J. B. (2008). Susceptibility of rice to the blast fungus, Magnaporthe grisea. Journal of plant physiology, 165(1), 114-124.

Rono, C. S. (2018). Evaluation of rice genotypes for agronomic and yield related traits (doctoral dissertation, university of nairobi).

Samejima, H., Katsura, K., Kikuta, M., Njinju, S. M., Kimani, J. M., Yamauchi, A., & Makihara, D. (2020). Analysis of rice yield response to various cropping seasons to develop optimal cropping calendars in Mwea, Kenya. Plant Production Science, 1-9.

Simko, I. & Piepho, H. P. (2012). The area under the disease progress stairs: calculation, advantage, and application. Phytopathology, 102(4), 381-389.

Sandhu, N., Yadaw, R. B., Chaudhary, B., Prasai, H., Iftekharuddaula, K., Venkateshwarlu, C., & Kumar, A. (2019). Evaluating the performance of rice genotypes for improving yield and adaptability under direct seeded aerobic cultivation conditions. Frontiers in plant science, 10, 159.



How to Cite

Ruiru, G. N. (2022) “Evaluation of rice (Oryza sativa l.) genotypes for yield and resistance to blast disease (Magnaporthe oryzae) in Kenya”, Egerton University International Conference. Available at: https://conferences.egerton.ac.ke/index.php/euc/article/view/132 (Accessed: 16 June 2024).



Transformative Agri-food Systems

Similar Articles

<< < 1 2 3 4 > >> 

You may also start an advanced similarity search for this article.