Exploring the Multi-Seasonal Relationships between Yield Traits with Natural Screening of Rice Blast Disease Under Hot Spot Conditions

Hosagoudar, G. N. *

AICRP on Rice, AHRS, Ponnampet, Karnataka- 571216, India.

Honnappa M.

Rice Breeder on Contract Basis, AHRS, Ponnampet, Karnataka-571216, India.

Padmashree R

ICAR-Indian Institute of Rice Research, Hyderabad, Telangana – 500030, India.


Rice Breeder on Contract Basis, AHRS, Ponnampet, Karnataka-571216, India.

Dushyantha Kumar, B. M.

Department of Genetics and Plant Breeding, University of Horticultural and Agricultural Sciences, Shivamogga, Karnataka-577204, India.

Umesh Babu B. S.

Rice Breeder on Contract Basis, AHRS, Ponnampet, Karnataka-571216, India.

Basavaraj S. Kovi

Rice Breeder on Contract Basis, AHRS, Ponnampet, Karnataka-571216, India.

*Author to whom correspondence should be addressed.


The experiment was conducted to study the comparative performance and blast disease screening  80 diverse rice cultivars including land races, obsolete varieties, modern cultivars and released varieties, local prevailing cultivars and advanced breeding/varietal lines as AICRIP testing trials for two successive seasons during Kharif-2021 and Kharif-2022 at AHRS Ponnampet, Karnataka- India, The results from ANOVA revealed that, MSS due to genotypes, were significant (p<0.01 and p<0.05) for all the yield traits studied. GYKH was varied from 270.65-6039.89, while 940.17-6039.88 with mean grain yield Kg/ha of 3596.01 and 3483.92 kg/ha during Kh-21 and Kh-22. High GCV and PCV with high heritability coupled with high GAM were observed for GYKH, while the remaining traits revealed low to medium GCV and PCV, heritability coupled with low to medium GAM. Correlation analysis revealed that significant and positive association was observed for PH, DFF, PL and GYKH. PCAs revealed that PC1, PC2 and PC3 showed 32.45%, 29.66% and 14.83% of contribution with 76.94% of total variation during Kharif-21 and 33.20%, 29.67% and 14.33% of contribution with 77.20% of variation for the studied traits during Kharif-22 respectively. Field screening of leaf and neck blast under natural hot spot area among 80 diverse genotypes resulted in identification of resistant sources as KPR-1, KPR-2, KHP-5, Mud-1014, IET-28515 and Kajajaya with promising yield performances.

Keywords: Rice (Oryza sativa L.), natural hot spot, blast screening, principal component analysis, Correlation matrix

How to Cite

Hosagoudar, G. N., Honnappa M., Padmashree R, Sheshaiah, Dushyantha Kumar, B. M., Umesh Babu B. S., & Kovi , B. S. (2023). Exploring the Multi-Seasonal Relationships between Yield Traits with Natural Screening of Rice Blast Disease Under Hot Spot Conditions. International Journal of Environment and Climate Change, 13(11), 2963–2982. https://doi.org/10.9734/ijecc/2023/v13i113467


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