Jean R. Sangaré, Abdourasmane K. Konaté, Fousseyni Cissé, Ambaliou Sanni


Rice production in Africa is very far from reaching the required growth rate for various reasons. Breeding and improved yield potential in rice are perceived as an important option to ensure food security in Africa. A rice recombinant inbred line population was evaluated in the field for an estimation of genetic parameters of grain yield and its related-traits. We found that environment had little influence on the expression of days to 50% flowering, plant height, thousand kernel weight and a number of grains per panicle. These traits had high to medium broad sense heritability indicating a good scope of selection. Of all traits, the only number of grains per panicle had the highest genetic advance as percent of the mean, suggesting both additive and non-additive gene action on this trait expression. We also found that grain yield showed significant positive phenotypic and genetic correlation with a date to 50% flowering, plant height and number of panicles, indicating that these traits could be used as target traits for selection to improve grain yield in rice.


Coefficient; Correlation; Cotonou; Genetic advance; Grain yield; Heritability; Longorola; Yield-related traits

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Akhtar, S., M.M. Islam, S.N. Begum, J. Halder, M.K. Alam and A.C. Manidas. 2013. Genetic Analysis of F 4 Rice Lines for Salt Tolerance at the Reproductive Stage. Progress. Agric. 21: 31–38.

Akinwale, M.G., G. Gregorio, F. Nwilene, S.A. Ogunbayo and A. Odiyi. 2011. Heritability and correlation coefficient analysis for yield and its components in rice (Oryza sativa L.). Afr. J. Plant Sci. 5: 207–212.

Al-Khatib, K. and G.M Paulsen. 1984. Mode of high temperature injury to wheat during grain development. Physiol. Plant. 61: 363–368.

Al-Tabbal, J.A. and A.H. Al-Fraihat. 2011. Genetic Variation, Heritability, Phenotypic and Genotypic Correlation Studies for Yield and Yield Components in Promising Barley Genotypes. J. Agric. Sci. 4: 193.

Alvarado, G., M. López, M. Vargas, Á. Pacheco, F. Rodríguez, J. Burgueño and J. Crossa. 2015. META-R (Multi Environment Trail Analysis with R for Windows) Version 5.0. International Maize and Wheat Improvement Center. (

Atera, E., J.C. Onyango, T. Azuma, S. Asanuma and K. Itoh. 2011. Field evaluation of selected NERICA rice cultivars in Western Kenya. Afr. J. Agric. Res. 6: 60–66.

Atif, E.I. and A.M. khalid. 2013. Estimation of genetic variability and correlation for grain yield components in rice (Oryza sativa L.). Glob. J. Plant Ecophysiol. 3: 1–6.

Babu, R.C., B.D. Nguyen, V. Chamarerk, P. Shanmugasundaram, P. Chezhian, P. Jeyaprakash, S.K. Ganesh, A. Palchamy, S. Sadasivam, S. Sarkarung, , L.J. Wade and H.T. Nguyen. 2003. Genetic Analysis of Drought Resistance in Rice by Molecular Markers. Crop Sci. 43: 1457–1469.

Bai, N. R. Devika and J. Ca. 1992. Correlation of yield and yield components in medium duration rice cultivars. Env. Eco 10: 469–470.

Burton, G.W. 1952. Quantitative inheritance in grasses. Proc 6th Int Grassl. Cong 1: 277–283.

Chakraborty, S. and M.H. Hazarika. 1994. Estimation of various genetic parameters for yield and yield components of rice. Oryza 31: 226–226.

Devi, S.L., F.A. Raina, M.K. Pandey and C.R. Cole. 2006. Genetic parameters of variation for grain yield and its components in rice. Crop Res 32: 69–71.

Dixit, S., A. Singh, M. Sta Cruz, P.T. Maturan, M. Amante and A. Kumar. 2014. Multiple major QTL lead to stable yield performance of rice cultivars across varying drought intensities. BMC Genet. 15: 1–13.

Dutta, P., P.N. Dutta and P.K. Borua. 2013. Morphological traits as selection indices in rice: A statistical view. Univers. J. Agric. Res. 1: 85–96.

Edmeades, G.O., J. Bolaños, S.C. Chapman, H.R. Lafitte and M. Banziger. 1999. Selection Improves Drought Tolerance in Tropical Maize Populations. Crop Sci. 39: 1306–1315.

Falconer, D.S., T.F. Mackay and R. Frankham. 1996. Introduction to quantitative genetics (4th edn). Trends Genet. 12: 280.

Food and Agriculture Organization of the United Nations. 2016. Statistics division, available at (Acceded October 3, 2016)

Fellahi, Z., A. Hannachi, A. Guendouz, H. Bouzerzour and A. Boutekrabt. 2013. Genetic variability, heritability and association studies in bread wheat (Triticum aestivum L.) genotypes. Electron. J. Plant Breed. 4: 1161–1166.

Fentie, D., G. Alemayehu, M. Siddalingaiah and T. Tadesse . 2014. Genetic Variability, Heritability and Correlation Coefficient Analysis for Yield and Yield Component Traits in Upland Rice (Oryza sativa L.). East Afr. J. Sci. 8: 147–154.

Girish, T.N., T.M. Gireesha, M.G. Vaishali, B.G. Hanamareddy and S. Hittalmani. 2006. Response of a new IR50/Moroberekan recombinant inbred population of rice (Oryza sativa L.) from an indica × japonica cross for growth and yield traits under aerobic conditions. Euphytica 152: 149–161.

Golam, F., Y.H. Yin, A. Masitah, N. Afnierna, N.A. Majid, N. Khalid and M. Osman. 2011. Analysis of aroma and yield components of aromatic rice in Malaysian tropical environment. Aust. J. Crop Sci. 5: 1318.

Iftekharuddaula, K.M., M.S. Hassan, M.J. Islam, M.A. Badshah, M.R. Islam and K. Akhter. 2001. Genetic Evaluation and Selection Criteria of Hybrid Rice in Irrigated Ecosystem of Bangladesh. Pak. J. Biol. Sci. 4: 790–792.

IRRI (International rice Research Institute). 2002. Standard Evaluation System for Rice (SES). International Rice Research Institute, Manila, Philippines.

Islam, M.A., S.A. Raffi, M.A. Hossain and A.K. Hasan. 2015. Analysis of genetic variability, heritability and genetic advance for yield and yield associated traits in some promising advanced lines of rice. Progress. Agric. 26: 26–31.

Johnson, H.W., H.F Robinson and R.E. Comstock. 1955. Estimates of Genetic and Environmental Variability in Soybeans. Agron. J. 47: 314–318.

Karimizadeh, R., M. Mohammadi, N. Sabaghni, A.A. Mahmoodi, B. Roustami, F. Seyyedi and F. Akbari. 2013. GGE Biplot Analysis of Yield Stability in Multi-environment Trials of Lentil Genotypes under Rainfed Condition. Not. Sci. Biol. 5: 256–262.

Karthikeyan, P., Y. Anbuselvam, R. EIangaimannan and M. Venkatesan. 2010. Variability and Heritability Studies in Rice (Oryza sativa L.) Under Coastal Salinity. Electron. J. Plant Breed. 1: 196–198.

Khush, G.S. 2001. TIMELINE: Green revolution: the way forward. Nat. Rev. Genet. 2: 815–822.

Kishor, C., Y. Prasad, Z.A. Haider, R. Kumar and K. Kumar. 2008. Quantitative analysis of upland rice. ORYZA- Int. J. Rice 45: 268–272.

Kole, P.C. and K.M. Hasib. 2008. Correlation and regression analysis in scented rice. Madras Agric. J. 95: 178–182.

Konate, A.K., A. Zongo, H. Kam, A. Sanni and A. Audebert. 2016. Genetic variability and correlation analysis of rice (Oryza sativa L.) inbred lines based on agro-morphological traits. Afr. J. Agric. Res. 11: 3340–3346.

Kumar, A., J. Bernier, S. Verulkar, H.R Lafitte and G.N. Atlin. 2008. Breeding for drought tolerance: Direct selection for yield, response to selection and use of drought-tolerant donors in upland and lowland-adapted populations. Field Crops Res. 107: 221–231.

Lilley, J.M. and S. Fukai. 1994. Effect of timing and severity of water deficit on four diverse rice cultivars III. Phenological development, crop growth and grain yield. Field Crops Res. 37: 225–234.

Maclean, J., B. Hardy and G. Hettel. 2013. Rice almanac: source book for the most important economic activities on Earth, 4th Edition. ed. IRRI, Los Baños, Philippines.

Maclean, J.L., D.C Dawe and G.P. Hettel (Eds.) 2002. Rice almanac: source book for the most important economic activity on earth, 3rd ed. ed. CABI Pub, Oxon, U.K.

Mohammadi, R., R. Haghparast, A. Amri and S. Ceccarelli. 2009. Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop Pasture Sci. 61: 92–101.

Ndjiondjop, M.N., B. Manneh, M. Cissoko, N.K. Drame, R.G. Kakai, R. Bocco, H. Baimey and M. Wopereis. 2010. Drought resistance in an interspecific backcross population of rice (Oryza spp.) derived from the cross WAB56-104 (O. sativa)×CG14 (O. glaberrima). Plant Sci. 179: 364–373.

Nor Aishah, H., A.R. Harun, Y. Mohd Rafii, M.N. Norain, and J. Nur Izzah. 2014. Correlation Analysis on Agronomic Characters in F1 population derived from a cross of Pongsu Seribu 2 and MR 264. Research and Development Seminar 2014; Bangi (Malaysia); 14-16 Oct 2014; INIS-MY--2015-016; INS. 46.

Nouri-Ganbalani, A., G. Nouri-Ganbalani and D. Hassanpanah. 2009. Effects of Drought Stress Condition on the Yield and Yield Components of Advanced Wheat Genotypes in Ardabil. J. Food Agric. Environ. 7: 228–234.

Oladosu, Y., M.Y. Rafii, N. Abdullah, M. Abdul Malek, H.A. Rahim, G. Hussin, M. Abdul Latif, and I. Kareem. 2014. Genetic Variability and Selection Criteria in Rice Mutant Lines as Revealed by Quantitative Traits. Sci. World J. 2014:12.

Paikhomba, N., A. Kumar, A.K. Chaurasia, and P.K. Rai. 2014. Assessment of genetic parameters for yield and yield components in hybrid rice and parents. Rice Res. 2: 117.

Prajapati, M.K., C.M. Singh, G.S. Babu, G.R. Lavanya, and P. Jadhav. 2011. Research Note Genetic parameters for grain yield and its component characters in rice. Electron. J. Plant Breed. 2: 235–238.

Roychowdhury, R. and J. Randrianotahina. 2011. Evaluation of genetic parameters for agro-metrical characters in carnation genotypes. Afr. Crop Sci. J. 19: 183–188.

Sabesan, T., R. Suresh and K. Saravanan. 2009. Genetic variability and correlation for yield and grain quality characters of rice grown in coastal saline low land of Tamilnadu. Electron. J. Plant Breed. 1: 56-59.

Sankar, P.D., A. Sheeba and J. Anbumalarmathi. 2006. Variability and Character Association Studies in Rice (Oryza sativa L.). Agric. Sci. Dig. 26: 182–184.

Senapati, B.K., and A. Kumar. 2015. Genetic assessment of some phenotypic variants of rice (Oryza spp.) for some quantitative characters under the Gangatic plains of West Bengal. Afr. J. Biotechnol. 14: 187–201.

Sham, P., J.S. Bader, I. Craig, M. O’Donovan and M. Owen. 2002. DNA Pooling: a tool for large-scale association studies. Nat. Rev. Genet. 3: 862–871.

Shiferaw, W., A. Balcha and H. Mohammed. 2012. Genetic Variation for Grain Yield and Yield Related Traits in Tef [Eragrostis teft; (Zucc.)Trotter] under Moisture Stress and Non-Stress Environments. Am. J. Plant Sci. 3: 1041–1046.

Shpiler, L. and A. Blum. 1990. Heat tolerance for yield and its components in different wheat cultivars. Euphytica 51: 257–263.

Singh, S.K., C.M. Singh and G.M. Lal. 2011. Assessment of genetic variability for yield and its component characters in rice (Oryza sativa L.). Res. Plant Biol. 1:73-76.

Sinha, S.K., A.K Tripathi and U.K Bisen. 2004. Study of genetic variability and correlation co-efficient analysis in midland landraces of rice. Ann. Agric. Res. 25: 1–3.

Song, X.J. and M. Ashikari. 2008. Toward An Optimum Return From Crop Plants. Rice 1: 135–143.

Sürek, H. and N. Beşer. 2005. Selection for grain yield and its components in early generations in rice (Oryza sativaL.). Trak. Univ J Sci 6, 51–58.

Teferra, T., H. Tefera, B. Simane and M. Tuinstra. 2000. The influence of drought stress on yield of tef (Eragrostis tef). Trop. Sci. 40: 40–45.

Tewodros, M., W. Getachew, B. Tadesse and W. Tesfaye. 2013. Genetic diversity of cassava (Manihot esculenta Crantz) genotypes in Ethiopia. Greener J Agric Sci 3: 636–642.

Ukaoma, A., P.I. Okocha and R.I. Okechukwu. 2013. Heritability and character correlation among some rice genotypes for yield and yield components. J. Plant Breed. Genet. 1: 73–84.

Venuprasad, R., H.R. Lafitte and G.N. Atlin. 2007. Response to Direct Selection for Grain Yield under Drought Stress in Rice. Crop Sci. 47: 285–293.

Wolie, A., T. Dessalegn and K. Belete. 2013. Heritability, variance components and genetic advance of some yield and yield related traits in Ethiopian collections of finger millet (Eleusine coracana (L.) Gaertn.) genotypes. Afr. J. Biotechnol. 12: 5529.

Xing, Y. and Q. Zhang. 2010. Genetic and Molecular Bases of Rice Yield. Annu. Rev. Plant Biol. 61: 421–442.

Xu, Q., W. Chen and Z. Xu. 2015. Relationship between grain yield and quality in rice germplasms grown across different growing areas. Breed. Sci. 65: 226–232.

Ziyomo, C. and R. Bernardo. 2013. Drought Tolerance in Maize: Indirect Selection through Secondary Traits versus Genome wide Selection. Crop Sci. 53: 1269–1275.


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