Variability and divergence studies on rice genotypes for micronutrient potential and its utility in biofortification

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jan 8, 2023
Caleb Vanlalrinngama
Banshidhar Jha S. K. Singh
A. Tigga
Bishawajit Kumar
Namata Kumari
M. K. Singh

Abstract

Rice is the staple food crop for more than half of the world population. Thus, rice varieties enriched with various micronutrients qualifies as a better alternative to combat micronutrient deficiency. The present investigation was undertaken to study the variability, heritability and genetic divergence for grain characters especially grain Zinc (Zn) content and grain Iron (Fe) content in 30 genotypes of rice. Among the 30 genotypes that were under investigation, the Phenotypic Coefficient of Variation (PCV) values were found to be higher than that of Genotypic Coefficient of Variation (GCV) values for all the traits. High heritability (>60%) was observed for all the studied traits. Days to 50% flowering showed highest heritability (99.1%) followed by test weight (94.8%) and grain Fe content (94.8%). The genetic advance as percent of mean ranged between medium (10%-20%) to high (>20%) with grain yield per plant showing the highest GAM (40.84%) followed by test weight (38.56%) and grain Zn content (33.73%). These 30 genotypes were assigned into groups of 11 clusters using Tocher’s method. Cluster I comprised of the most number of genotypes with 18 genotypes followed by Cluster V with 3 genotypes while the remaining 9 clusters were monogenotypic. Days to 50% flowering was found to have the highest contribution towards genetic divergence. These findings indicated that the genotypes under study have sufficient trait variability and varietal diversity which could be exploited in crop improvement programmes aimed at developing Zinc (Zn) and Iron (Fe) biofortified varieties.

How to Cite

Vanlalrinngama, C., Jha, B., Singh, S. K., Tigga, A., Kumar, B., Kumari, N., & Singh, M. K. (2023). Variability and divergence studies on rice genotypes for micronutrient potential and its utility in biofortification. Environment Conservation Journal, 24(1), 151–156. https://doi.org/10.36953/ECJ.10662286

Downloads

Download data is not yet available.
Abstract 120 | PDF Downloads 202

##plugins.themes.bootstrap3.article.details##

Keywords

Biofortification, Genetic divergence, Heritability, Micronutrients, Rice, Variability

References
Agrawal, K.B. (2003). Variability studies in segregating populations of rice. Annals of Agricultural Research, 24(4),707-709.
Bain, L.E., Awah, P.K., Geraldine, N., Kindong, N.P., Siga, Y., Bernard, N. & Tanjeko, A.T. (2013). Malnutrition in Sub-Saharan Africa: burden, causes and prospects. Pan African Medical Journal, 15(1),120.
Bekele, B.D., Rakhi, S., Naveen, G.K., Kundur. P.J. & Shashidhar, H. E. (2013). Estimation of genetic variability and correlation studies for grain zinc concentrations and yield related traits in selected rice (Oryzasativa L.) genotypes. Asian Journal of Experimental Biological Sciences, 4(3), 345-351.
Burton, G. W. (1952). Quantitative inheritance in grasses. Proceedings of 6th International Grassland Congress.
Girma, B. T., Kitil, M. A., Banje, D. G., Biru, H. M. &Serbessa, T. B. (2018). Genetic variability study of yield and yield related traits in rice (Oryzasativa L.) genotypes. Advances in Crop Science and Technology, 6(4), 381.
Johnson, H.W., Robinson, H.F. & Comstock, R.E. (1955).Estimates of genetic and environmental variability in soyabean. Agronmy Journal, 47, 314-318.
Khan, A. S., Muhammad, I. & Muhammad, A. (2009). Estimation of genetic variability and correlation for grain yield components in rice (Oryzasativa L.). American-Eurasian Journal of Agricultural and Environmental Science, 6(5), 585-590.
Lush, J.L. (1940).Intra-sire correlation and regression of offspring in rams as a method of estimating heritability of characters. Proceedings of American Society Animal Production, 33, 292-301.
Mahalanobis, P. C. (1936). On the generalized distance in statistics. Proceedings of the National Academy of sciences India, 2, 49-55.
Ministry of Agriculture and Farmers Welfare, Government of India, 2020. Available at http://www.indiastat.com
Nachimuthu, V.V., Robin. S., Sudhakar, D., Rajeswari. S., Raveendran, M., Subramanian, K.S., Tannidi, S. &Pandian,B.A. (2014). Genotypic Variation for Micronutrient Content in Traditional and Improved Rice Lines and its role in Biofortification Programme. Indian Jounal of Science and Technology, 7(9), 1414-1425.
Panse, V. C. &Sukhatme, P. V. (1978).Statistical methods for Agricultural workers.3rdRevised Edition, ICAR, New Delhi.
Parihar, R., Sharma, D. J., Agrawal, A. P. &Minz, M. G. (2017). Genetic variability, heritability and genetic advance studies in aromatic short grain rice (Oryzasativa l.) genotypes. Journal of Pharmacognosy and phytochemistry, 1, 649-651.
Ranjith, P., Sahu, S., Dash, S. K., Bastia, D. N. &Pradhan, B. D. (2018). Genetic diversity studies in Rice (Oryzasativa L.). Journal of Pharmacognosy and Phytochemistry, 7(2), 2529-2531.
Rathan, N. D., Singh, S. K., Singh, R. K. &Singh, D. K. (2020).Estimating genetic divergence in rice (Oryzasativa L.) using D² analysis. Electronic Journal of Plant Breeding, 11(03), 836-840.
Rao, C. R. (1952). Advanced statistical methods in biometric research.Wiley and Sons, New York. Raza, Q., Hira, S., Fariha, S., Awais, R., Tahira, B. & Muhammad, S. (2019). Genetic Diversity in Traditional Genotypes for Grain Iron, Zinc and β - Carotene contents reveal potential for Breeding micronutrient dense rice. Journal of Experimental Biology and Agricultural Sciences, 7(2), 194-203.
Singh, M. K., Banshidhar, A. K., Tigga, A., & Singh, S. K. (2020).Exploration of Possibilities to Identify Heterotic Cross Combinations in Aromatic Rice (OryzasativaL.) for Grain Yield and Quality Parameters.Current Journal of Applied Science and Technology,39(11), 92-98.
Singh, M. K., Singh, S., Nautiyal, M. K., Pandey, I. D., & Gaur, A. K. (2017). Variability, heritability and correlation among grain quality traits in basmati rice (Oryzasativa L.). International Journal of Chemical Studies, 5(5), 309-312.
World Health Organisation, World Health Report 2002: Reducing Risks, Promoting Healthy life. Available at https://www.who.int/
Section
Research Articles