Journal of Innovative Agriculture, Volume 10, Issue 4 : 21-30. Doi : 10.37446/jinagri/rsa/10.4.2023.21-30
Research Article

OPEN ACCESS | Published on : 31-Dec-2023

Traits association and path coefficient analysis of yield and yield attributing traits of upland rice (Oryza sativa L.) genotypes at pawe, northwestern Ethiopia

  • Birtucan Demeke
  • Ethiopian Institute of Agricultural Research, Pawe Agricultural Research Center, Pawe, Ethiopia.
  • Tiegist Dejene
  • Bahir Dar University, Plant Science, Bahir Dar, Ethiopia.
  • Desta Abebe
  • Ethiopian Institute of Agricultural Research, Pawe Agricultural Research Center, Pawe, Ethiopia.


Besides the existence of genetic variation, the relationship between traits determines whether plant breeding is successful. As a result, identifying the influence of yield-related traits on yield is critical. Hence, in 2020/21 cropping season, this study was carried out using 70 upland rice (Oryza sativa L.) genotypes at Pawe, to determine the magnitude of association and the direct and indirect influence of yield component traits on grain yield of rice. Traits such as biomass, days to heading, and days to maturity, productive tiller, panicle length, and field grain per panicle have shown medium to high positive association (0.35-0.85) with grain yield. On the Path analysis except days to heading all traits mentioned above had a positive direct influence on grain yield ranging from 0.05 to 0.62. Traits like days to heading, days to maturity, productive tillers, and grain width had moderate positive indirect effects on grain yield. Therefore, in the process of selecting rice genotypes for further breeding programs of yield improvement characters like biomass yield that had the highest positive association and high direct influence could be primarily used as selection criteria since improvement of these traits leads to grain yield increment.


correlation coefficient, genotypes, path analysis, rice, grain yield, yield components


  • Abebe, T., Alamerew, S., & Tulu, L. (2019). Traits association and path coefficient analysis of yield and related traits in rainfed lowland rice (Oryza sativa L.) genotypes in North Western Ethiopia. African Journal of Plant Science13(1), 1-8. DOI: 10.5897/AJPS2018.1693

    Akhi, A. H., Miah, M. A. K., Ivy, N. A., Islam, A., & Islam, M. Z. (2016). Association of yield and yield related traits in aromatic rice (Oryza sativa L.). Bangladesh Journal of Agricultural Research41(3), 387-396.

    Alamerew, T. A. S., & Tulu, L. (2019). Association of Traits of Lowland Rice Genotypes in Northwestern Ethiopia. Advances in Rice Research and Development in Ethiopia, 99.

    Al-Salim, S. H. F. (2016). Evaluation of the performance of some rice (Oryza sativa L.) varieties in two different environments. Open Access Library Journal3(01), 1. DOI: 10.4236/oalib.1102294

    Assaye, A., Habte, E., Sakurai, S., & Alemu, D. (2022). Impact assessment of adopting improved rice variety on farm household welfare in Ethiopia. Journal of Agriculture and Food Research10, 100428.

    Belete, D. A., Tewachew, A., Mulugeta, B., & Mulualem, T. (2022). Correlation and path coefficient studies for yield and its components of upland rice (Oryza sativa L.) in north western Ethiopia. Journal of Scientific Agriculture. 6,p 14-19. DOI:10.25081/jsa.2022.v6.7253

    Dewey, D. R., & Lu, K. (1959). A correlation and path‐coefficient analysis of components of crested wheatgrass seed production 1. Agronomy journal51(9), 515-518.

    EIAR (Ethiopian Institute of Agricultural Research). (2021). Pawe Agricultural Research Center Profile. Available at: (accessed on September/2021).

    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 (Oryza sativa L.) genotypes. Advances in Crop Science and Technology. 6(4), 381. DOI: 10.4172/2329-8863.1000381

    Hasan, M. J., Kulsum, M. U., Akter, A., Masuduzzaman, A. S. M., & Ramesha, M. S. (2011). Genetic variability and character association for agronomic traits in hybrid rice (Oryza sativa L.). Bangladesh Journal of Plant Breeding and Genetics24(1), 45-51.

    Hasan, M. J., Kulsum, M. U., Mohiuddin, S. J., & Zahid-AL-Rafiq, M. (2019). Genetic interrelationship among yield and its components in rice hybrids. Bangladesh Journal of Botany48(4), 1207-1213.

    Hossain, S., Salim, M., Azam, M. G., & Noman, S. (2018). Variability, correlation and path analysis in drought tolerant rice (Oryza sativa L.). Journal of Bioscience and Agriculture Research18(02), 1521-1530.

    Immanuel, S. C., Pothiraj, N., Thiyagarajan, K., Bharathi, M., & Rabindran, R. (2011). Genetic parameters of variability, correlation and pathcoefficient studies for grain yield and other yield attributes among rice blast disease resistant genotypes of rice (Oryza sativa L.). African Journal of Biotechnology10(17), 3322-3334. DOI: 10.5897/AJB10.2575

    International Rice Research Institute. (2013). Standard evaluation system for rice 5th edition Manila, Philippines.13-21pp.

    Jones,D.B. (1941). Factors of converting percentages of nitrogen in food and feeds in to percentage of protein. US Department of Agriculture Washington, DC. 12pp.

    Kafi, S. H., Abiodun, E. A., Bunmi, O., & Kyung-Ho, K. (2021). Correlation coefficient and path analyses of yield and yield related traits of Korean double haploid rice for germplasm improvement in Nigeria. American Journal of Agriculture and Forestry9(3), 114-21. doi: 10.11648/j.ajaf.20210903.13

    Kampe, A. K., Tassew, A. A., & Gezmu, A. T. (2018). Estimation of phenotypic and genotypic correlation and path coefficients in rainfed upland rice (Oryza sativa L.) genotypes at Guraferda, Southwest Ethiopia. Journal of Rice Research. 6(3): 3-4. DOI: 10.4172/2375-4338.1000195

    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 science10, 543. doi: 10.3389/fpls.2019.00543

    Liu, Q., Li, M., Ji, X., Liu, J., Wang, F., & Wei, Y. (2022). Characteristics of Grain Yield, Dry Matter Production and Nitrogen Uptake and Transport of Rice Varieties with Different Grain Protein Content. Agronomy12(11), 2866.

    Oladosu, Y., Rafii, M. Y., Abdullah, N., Abdul Malek, M., Rahim, H. A., Hussin, G., ... & Kareem, I. (2014). Genetic variability and selection criteria in rice mutant lines as revealed by quantitative traits. The Scientific World Journal2014.

    Oladosu, Y., Rafii, M. Y., Magaji, U., Abdullah, N., Miah, G., Chukwu, S. C., ... & Kareem, I. (2018). Genotypic and phenotypic relationship among yield components in rice under tropical conditions. BioMed research international2018.

    Rashid, K. A. S. H. I. F., Kahliq, I., Farooq, M. O., & Ahsan, M. Z. (2014). Correlation and cluster analysis of some yield and yield related traits in Rice (Oryza sativa). Journal of Recent Advances in Agriculture2(8), 290-295.

    Ratna, M., Begum, S., Husna, A., Dey, S. R., & Hossain, M. S. (2015). Correlation and path coefficients analyses in basmati rice. Bangladesh Journal of Agricultural Research40(1), 153-161.

    Ratner, B. (2009). The correlation coefficient: Its values range between+ 1/− 1, or do they?. Journal of targeting, measurement and analysis for marketing17(2), 139-142.

    Roy, R. K., Majumder, R. R., Sultana, S., Hoque, M. E., & Ali, M. S. (2015). Genetic variability, correlation and path coefficient analysis for yield and yield components in transplant aman rice (Oryza sativa L.). Bangladesh Journal of Botany44(4), 529-535.

    Saleh, M. M., Salem, K. F., & Elabd, A. B. (2020). Definition of selection criterion using correlation and path coefficient analysis in rice (Oryza sativa L.) genotypes. Bulletin of the National Research Centre44, 1-6.

    Sarker, M. M., Hassan, L., Islam, M. M., Rashid, M. M., & Seraj, S. (2014). Correlation and path coefficient analysis of some exotic early maturing rice (Oryza sativa L.) lines. Journal of Bioscience and Agriculture Research1(1), 01-07.

    Singh, R.K. and Chaudhary, B.D. (1985). Biometrical Methods. In: Quantitve Genetic Analysis. Rev. ed. 318pp.

    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.

    Thiex, N. J., Manson, H., Anderson, S., Persson, J. Å., & Collaborators: Anderson S Bogren E Bolek G Budde D Ellis C Eriksson S Field G Frankenius E Henderson C Henry C Kapphahn M Lundberg L Manson H Moller J Russell M Sefert-Schwind J Spann M. (2002). Determination of crude protein in animal feed, forage, grain, and oilseeds by using block digestion with a copper catalyst and steam distillation into boric acid: collaborative study. Journal of AOAC International85(2), 309-317.           

    Usman, M. G., Rafii, M. Y., Martini, M. Y., Oladosu, Y., & Kashiani, P. (2017). Genotypic character relationship and phenotypic path coefficient analysis in chili pepper genotypes grown under tropical condition. Journal of the Science of Food and Agriculture97(4), 1164-1171.

    Yadav, S. K., Suresh, B. G., Pandey, P., & Kumar, B. (2010). Assessment of genetic variability, correlation and path association in rice (Oryza sativa L.). Journal of Bioscience18(0), 1-8.

    Zhao, H., Mo, Z., Lin, Q., Pan, S., Duan, M., Tian, H., ... & Tang, X. (2020). Relationships between grain yield and agronomic traits of rice in southern China. Chilean journal of agricultural research80(1), 72-79. 5839202000010007