Abstract
Even though there are abundant rice genetic resources, only a fraction is used in breeding programs leading to a narrow genetic base for improved varieties. Increasing the use of available rice germplasm could lead to the development of varieties that are superior in yield and other important agronomic traits. One hundred rice genotypes were used to estimate the genetic variability, heritability, clustering, trait association, and principal components for eight yield and yield-related traits. The experiment was conducted in a 10 × 10 lattice design in three replications under field conditions. The GCV ranged from 4.3% for panicle length to 17.9% for grain yield. Grain yield (GY) had the highest PCV (37.3%), while kernel length had the lowest PCV (7.0%). High heritabilities and moderate genetic advances were observed for days to flowering (DF), plant height (PH), kernel length (KL), and kernel length-to-width ratio (KLW). In general, the magnitudes of genotypic correlations were higher than phenotypic correlations. Grain yield showed a positive association with DF and PL at both genotypic and phenotypic levels, and with PH and KW at the genotypic level only. The genotypes clustered into three groups and the first three principal components explained about 70.3% of the total variation with KLW, KL, DF, and GY being the principal discriminatory characters. There was adequate genetic variability in the germplasm to support breeding for improved grain yield and indirect selection for high yield can be done in early generations using DF, PH, and PL.
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References
Allard, RW. 1960. Principles of Plant Breeding. John Wiley and Sons Inc., New York, USA. 485 pp
Anyaoha C, Adegbehingbe F, Uba U, Popoola B, Gracen V, Mande S, Onotugoma E and Fofana M. 2018. Genetic diversity of selected upland rice genotypes (Oryza sativa L.) for grain yield and related traits. IJPSS 22(5): 1–9, DOI:10.9734/ IJPSS/2018/40406
Banumathy S, Manimaran R, Sheeba A, Manivannan N, Ramya B, Kumar D, Ramasubramanian GV. 2010. Genetic diversity analysis of rice germplasm lines for yield attributing traits. EJPB. 1: 500–504
Bao JS. 2014. Genes and QTLs for rice grain quality improvement. Agricultural and Biological Sciences: Rice-Germplasm, Genetics and Improvement, W Yan, ed. (InTech, Vienna) Chap 9
Burton GW, Devane, EH. 1953. Estimating heritability in tall fescue (Festuca arundinaceae) from replicated clonal material. Agron. J. 45: 478–481
Burton GW. 1952. Quantitative inheritance in grasses. Proceedings of 6th International Grassland Congress. 1: 277–283
Edukondalu B, Reddy RV, Rani ST, Kumari AC, Soundharya B. 2017. Studies on variability, heritability, correlation and path analysis for yield and yield attributes in Rice (Oryza sativa L.). Int. J. Curr. Microbiol. App. Sci. 6(10): 2369–2376. doi: https://doi.org/10.20546/ijcmas.2017.610.279
Eswara RG, Suresh BG, Sravan T. 2013. Correlation and path analysis for yield and yield attributes in rice (Oryza sativa L.) genotypes. Int. J. Plant Sci. 8 (2): 391–394
Falconer DS. 1981. Introduction to Quantitative Genetics. Oliver and Boyd, London, 340 pp
Graham-Acquaah S, Saito K, Traore K, Dieng I, Alognon A, Bah S, Sow A, Manful JT, 2018. Variations in agronomic and grain quality traits of rice grown under irrigated lowland conditions in West Africa. Food Sci. Nutr. 6: 970–982. DOI: https://doi.org/10.1002/fsn3.635
Hossain S, Maksudul Haque MD, Rahman J. 2015. Genetic variability, correlation and path coefficient analysis of morphological traits in some extinct local Aman rice (Oryza sativa L). J. Rice Res. 3: 158. https://doi.org/10.4172/23754338.1000158
Karuppaiyan R, Kapoor C, Gopi R. 2013. Variability, heritability and genetic divergence in lowland rice genotypes under the mid-hills of Sikkim. Oryza 50 (1): 81–84
Larik AS, Malik SI, Kakar AA and Naz MA. 2000. Assesment of heritability and genetic advance for yield and yield components in Gossypium hirsutum L. Scientific Khyber 13: 39–44
Madhavilatha, L, Sekhar M.R, Suneetha Y and Srinivas T. 2005. Genetic variability, correlation and path analysis for yield and quality traits in rice (Oryza sativa L.). Res. Crops 6 (3): 527–537
Nandan R, Sweta Singh SK. 2010. Character association and path analysis in rice (Oryza sativa L.) genotypes. WJAS. 6 (2): 201–206
Nwanze KF, Mohapatra S, Kormawa P, Keya S, Bruce-Oliver S. 2006. Rice development in sub-Saharan Africa. J. Sci. Food Agric. 86: 675–677
Rahman MA, Hossain MS, Chowdhury IF, Matin MA, Mehraj H. 2014. Variability study of advanced fine rice with correlation, path co-efficient analysis of yield and yield contributing characters. IJASBT 2 (3): 364–370
Ratna M, Begum S, Husna A, Dey SR, Hossain MS. 2015. Correlation and path coefficient analysis in Basmati rice. Bangladesh J. Agr Res. 40 (1): 153–161
Reddy JN, De RN, Suriya Rao AV. 1997. Correlation and path analysis in low land rice under intermediate (0-50 cm) water depth. Oryza. 34 (3): 187190
Sabesan T, Suresh R, Saravanan K. 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline lowland of Tamil Nadu. EJPB. 1: 56–59
Sahu P, Sharma D, Mondal S, Kumar V, Singh S, Baghel S, Ashish I, Vishwakarma G, Das BK. 2017. Genetic variability for grain quality traits in indigenous rice landraces of Chhattisgarh India. JEBAS 5: 439–455. 10.18006/2017.5(4).439.455
Satish Chandra B, Dayakar Reddy T, Ansari NA, Sudheer Kumar S. 2009. Correlation and path analysis for yield and yield components in rice (Oryza sativa L.). Agric Sci Dig. 29 (1): 45–47
Sohrabi M, Rafii MY, Hanafi MM, Siti nor Akmar A, Latif MA. 2012. Genetic diversity of upland rice germ plasm in Malaysia based on quantitative traits. The Scientific World J. 2012:416291. doi: https://doi.org/10.1100/2012/416291
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Asante, M.D., Adjah, K.L. & Annan-Afful, E. Assessment of Genetic Diversity for Grain Yield and Yield Component Traits in Some Genotypes of Rice (Oryza Sativa L.). J. Crop Sci. Biotechnol. 22, 123–130 (2019). https://doi.org/10.1007/s12892-019-0008-0
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DOI: https://doi.org/10.1007/s12892-019-0008-0