Biometric and phenological responses of rice genotypes during the kharif season in northern Kerala
DOI:
https://doi.org/10.25081/jsa.2026.v10.9867Keywords:
Growth and yield, Phenology, Booting, Productive tillers, Organic productionAbstract
An experiment was undertaken at the Regional Agricultural Research Station, Pilicode of Kerala Agricultural University to study the growth, yield and phenological responses of 14 rice genotypes during the Kharif season. The study indicated that, under suitable management conditions, certain traditional varieties can produce yields comparable to or higher than high yielding varieties. Among the varieties studied, ‘Karuthanjavara’, ‘Jaiva’ and ‘Thavalakannan’ recorded higher grain yields, while the highest harvest index was observed in ‘Jaiva’. Among the growth stages evaluated, the duration to booting and the total crop duration were found to have a greater influence on plant height, biomass and yield. Among the biometric parameters, height and biomass at various growth stages exhibited a positive influence on crop yield.
Downloads
References
Asefa, G. (2019). The role of harvest index in improving crop productivity. Journal of Natural Science Research, 9(6), 24-28. https://doi.org/10.7176/JNSR/9-6-04
Fageria, N. K. (2007). Yield physiology of Rice. Journal of Plant Nutrition, 30(6), 843-879. https://doi.org/10.1080/15226510701374831
Gopinath, P. P., Parsad, R., Joseph, B., & Adarsh, V. S. (2021). grapesAgri1: Collection of shiny apps for data analysis in agriculture. The Journal of Open Source Software, 6(63), 3437. https://doi.org/10.21105/joss.03437
IRRI. (2013). SES-Standard Evaluation System for Rice. Manila, Philippines: The International Rice Research Institute.
Kumari, K. V., & Shanmugam, P. M. (2020). Evaluation of rice (Oryza sativa) varieties suitable for organic farming. Indian Journal of Agricultural Research, 54(1), 71-76. https://doi.org/10.18805/IJARe.A-5291
Li, R., Li, M., Ashraf, U., Liu, S., & Zhang, J. (2019). Exploring the relationships between yield and yield-related traits for rice varieties released in China from 1978 to 2017. Frontiers in Plant Science, 10, 543. https://doi.org/10.3389/fpls.2019.00543
Li, X., Yan, W., Agrama, H., Jia, L., Jackson, A., Moldenhauer, K., Yeater, K., McClung, A., & Wu, D. (2012). Unraveling the complex trait of harvest index with association mapping in rice (Oryza sativa L.). Plos One, 7(1), e29350. https://doi.org/10.1371/journal.pone.0029350
Limbongan, Y. L., Parari, T. Y., Limbongan, A. A., & Palese, M. M. (2023). Agronomic performance and correlation of growth components, yield components and production on 30 F3 lines of new plant type of black rice specific to highland ecosystems. IOP Conference Series: Earth and Environmental Science, 1200, 012031. https://doi.org/10.1088/1755-1315/1200/1/012031
Manickam, S., Suganthy, M., Sunitha, R., Jansirani, R., Krishnan, R., & Ganesh R. (2024). Evaluation of traditional varieties of rice (Oryza sativa L.) for yield under organic production system. Indian Journal of Agricultural Research, 58(6), 1187-1192. https://doi.org/10.18805/IJARe.A-5852
Manjunatha, G. A., Vanaja, T., Naik, J., Kumar, A. S. A., & Vasudevan, N. R. (2016). Identification of rice genotypes best suited for the development of organic varieties and identification of current varieties best suited for organic farming. Journal of Organics, 3(1), 16-24.
Solomon, H., & Wegary, D. (2016). Phenotypic correlation and path coefficient analysis of yield and yield component in rice (Oryza Sativa). International Journal of Research and Review, 3(7), 1-5.
Yoshida, S. (1981). Fundamentals of Rice Crop Science. Manila, Philippines: The International Rice Research Institute.
Zhao, H., Mo, Z., Lin, Q., Pan, S., Duan, M., Tian, H., Wang, S., & Tang, X. (2020). Relationships between grain yield and agronomic traits of rice in southern China. Chilean Journal of Agricultural Research, 80(1), 72-79. https://doi.org/10.4067/S0718-58392020000100072
Published
How to Cite
Issue
Section
Copyright (c) 2026 V. P. Karthika, P. K. Retheesh, T. Vanaja
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
.