Date Received: Nov 23, 2024
Date Accepted: Mar 10, 2026
Date Published: Mar 31, 2026
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Estimates of Genetic Variability and Boxplot Analyses in F2 Populations of Rice (Oryza sativa L.) for Yield-Related Traits
Keywords
GVC, PCV, genetic gain, transgressive segregation, boxplot analysis, grain yield
Abstract
The present research was carried out to study genetic variability in 5×5 half diallel F2 populations of boro rice. The F2 populations of 10 bi-parental crosses, viz. P1 × P2, P1 × P3, P1 × P4, P1 × P5, P2 × P3, P2 × P4, P2 × P5, P3 × P4, P3 × P5, and P4 × P5, were evaluated, along with their parents, for grain yield and related characters. Significant variance revealed a wide range of genetic variability among the segregating progenies and parental genotypes for all the studied traits except grain breadth. The genotypic coefficient of variation (GCV) was smaller than the phenotypic coefficient of variation (PCV) for all the traits except the grain length-breadth ratio. Grain length exhibited high heritability (96.021%) and high genetic advance (22.137%), followed by the grain length-to-breadth ratio (95.308% and 40.7%), and 1000-grain weight (71.96% and 25.32%), respectively. Broader genetic variability for the genotypes was revealed based on boxplot analyses. The F2 family P3×P4 showed the maximum transgressive segregation for the number filled grains per panicle and 1000-grain weight followed by P3×P5.
References
Alam M. J., McKenzie A. M., Begum I. A., Buysse J., Wailes E. J. & Van Huylenbroeck G. (2016). Asymmetry price transmission in the deregulated rice markets in Bangladesh: Asymmetric Error Correction model. Agribusiness. 32(4): 498-511.
FAO (2022). FAOSTAT (http://faostat.fao.org). Food and Agriculture Organization, Rome, Italy.
Balat J. R., Patel V. P., Visat M. L. & Bhagora R. N. (2018). Variability analysis in F2 population of rice (Oryza sativa L.) for yield and related traits. International Journal of Pure and Applied Bioscience. 6(1): 1021-1027. DOI: 10.18782/2320-7051.5750.
Bangladesh Rice Research Institute (BRRI). (2018). Modern rice cultivation (21st ed.). Gazipur, Bangladesh: 33 ((in Bengali).
Burton G. W. & Devane E. M. (1953). Estimating heritability in tall fescue (Festuca circunc L.) from replicated clonal material. Agronomy. 45(3): 478-481.
Clark G. M. (1973). Statistics and experimental design. Edward Arnold, London.
Khan N. & Naqvi F. (2011). Heritability of morphological traits in bread wheat advanced lines under irrigated and non-irrigated conditions. Asian Journal of Agricultural Sciences. 3(3): 215-222.
Mainuddin M. & Kirby M. (2015). National food security
in Bangladesh to 2050. Food Security. 7(3): 633-646.
Matin M. Q. I., Uddin M. S., Rohman M. M., Amiruzzaman M., Azad A. K. & Banik B. R. (2017). Genetic variability and path analysis studies in hybrid maize (Zea mays L.). American Journal of Plant Sciences. 8(12): 3101-3109.
McLeod S. A. (2019). What does a box plot tell you? Simply psychology. Retrieved from https://www.simplypsychology.org/boxplots.html on January 5, 2025.
Mottaleb K. A. & Mishra A. K. (2016). Rice consumption and grain-type preference by household: a Bangladesh case. Journal of Agricultural and Applied Economics. 48(3): 298-319.
Nithya N., Beena R., Stephen R., Abida P. S., Jayalekshmi V. G., Viji M. M. & Manju R. V. (2020). Genetic variability, heritability, correlation coefficient and path analysis of morphophysiological and yield related traits of rice under drought stress. Chemical Science Review and Letters. 9(33): 48-54.
Ogunbayo S. A. (2011). Genetic variation, correlation studies and multilocational performance of lowland NERICA Rice (Oryza species L). PhD Thesis, Federal University of Agriculture, Abeokuta, Nigeria.
Padmaja D., Radhika K. Rao L. V. & Padma V. (2008). Studies on variability, heritability and genetic advance for quantitative characters in rice (Oryza sativa L.). Indian Journal of Plant Genetic Resources. 21(3): 196-198.
Paikhomba N., Kumar A., Chaurasia A. K. & Rai P. K. (2014). Assessment of genetic parameters for yield and yield components in hybrid rice and parents. Journal Rice Research. 2(1): 117.
Reddy M. A., Francies R. M., Joseph J. & Kumar P. S. (2019). Screening of F2 Population under Higher Iron Toxic Levels of Hydroponics in Rice. International Journal of Current Microbiology and Applied Sciences. 8(1): 28-36.
Snedecor G. W. & Cochran W. G. (1967). Statistical methods. Ames, IA: Iowa State University.
Timsina J., Wolf J., Guilpart N., Van Bussel L. G. J., Grassini P., Van Wart J., Hossain A., Rashid H., Islam S. & Van Ittersum M. K. (2018). Can Bangladesh produce enough cereals to meet future demand? Agricultural Systems. 163: 36-44.