Genetic Variability and Cluster Analysis for Phenological Traits of Thai Indigenous Upland Rice (Oryza sativa L.)

DOI: 10.18805/IJARe.A-461    | Article Id: A-461 | Page : 211-216
Citation :- Genetic Variability and Cluster Analysis for Phenological Traits of Thai Indigenous Upland Rice (Oryza sativa L.).Indian Journal of Agricultural Research.2020.(54):211-216
Shams Shaila Islam, Jakarat Anothai, Charassri Nualsri, Watcharin Soonsuwon watcharin.s@psu.ac.th
Address : Agricultural Innovation and Management Division, Faculty of Natural Resources, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand.
Submitted Date : 5-07-2019
Accepted Date : 23-10-2019


Estimating genetic variability and cluster analysis of grain yield and yield contributing traits need to require for rice breeders to choose the best breeding programs. Ten upland rice genotypes were conducted from farmers’ fields during the years of 2017 at three provinces of southern Thailand. Extreme broad sense heritability and genetic gain values for flag leaf length, leaf area index, harvest index, total dry weight and filled grains showed that assortment of these yield contributing traits would be effective. Cluster analysis categorized genotypes into three groups. In each group some genotypes such as Dawk Pa-yawm or Dawk Kha 50 (group I), Nahng Kian (group II) and Khao/ Trai (group III) showed that genotypes had different better traits. These studies revealed that high broad sense heritability traits and the best genotypes Nahng Kian and Khao/ Trai would be useful for improving new upland rice varieties in southern Thailand.


Cluster analysis Genetic advance Genotypic coefficient Heritability Upland rice


  1. Allard, R.W. (1960). Principles of plant breeding. John Willey and Sons Incorporation. New York, NY, USA.
  2. Ali, A., Khan, S. and Asad, M.A. (2002). Drought tolerance in wheat: Genetic variation and heritability for growth and ion relations. Asian Journal of Plant Sciences. 1: 420-422.
  3. Atta, B.M., Haq, M.A. and Shah, T.M. (2008). Variation and interrelationships of quantitative traits in chickpea (Cicer aurantium L.). Pakistan Journal of Botany. 40(2): 637-647.
  4. Bernardo, R. (2002). Breeding for quantitative traits in plants. Woodbury, MN: Stemma Press.
  5. Chuchert, S., Nualsri, C., Junsawang, N. and Soonsuwon, W. (2018). Genetic diversity, genetic variability and path analysis for yield and its components in indigenous upland rice (Oryza sativa L. var. glutinosa). Songklanakarin Journal of Science and Technology. 40(3): 609-616.
  6. Girma, B. T., Kitil, M.A., Banje, D.G., Biru, H.M. and Serbessa, T.B. (2018). Genetic variability study of yield and related traits in rice (Oryza sativa L.) genotypes. Advances in Crop Science and Technology. 6 (4):1-7.
  7. Iqbal, T., Hussain, I., Ahmad, N., Nauman, M., Ali, M., Saeed, S., Zia, M. and Ali, F. (2018). Genetic variability, correlation and cluster analysis in elite lines of rice. Journal of Scientific Agriculture. 2: 85-91.
  8. Jain, A.K., Murty, M.N. and Flynn, P.J. (1999). Data clustering-A review. ACM Computing Surveys. 31: 264-323.
  9. Johnson, F.W., Robinson, H.F. and Comstock, R.E. (1955). Estimates of genetic and environmental variability in Soybean. Journal of Agronomy. 47: 314-318.
  10. Khare, R., Singh, A.K., Eram, S. and Singh, P.K. (2014). Genetic variability, association and diversity analysis in upland rice (Oryza sativa L). SAARC Journal of Agriculture. 12(2): 40-51.
  11. Mendiburu, F.D. and Simon, R. (2007). Agricolae-a free statistical library for agricultural research. Ames, IA: Iowa State University.
  12. Saito, K., Fukuta, Y., Yanagihara, S., Ahouanton, K. and Sokei. Y. (2014). Beyond NERICA: Identifying high-yielding rice varieties adapted to rainfed upland conditions in Benin and their plant characteristics. Tropical Agriculture Deviation. 58: 51–57.
  13. Sao, A. (2002). Studies on combining ability and heterosis in F1 rice hybrids using cytoplasmic male sterile lines. M. Sc. (Ag.) thesis, IGAU, Raipur. 
  14. Sarawgi, A.K., Rastogi, N.K. and Soni, D.K. (2000). Studies on some quality parameters of indigenous rice in Madhya Pradesh. Annals of Agricultural Research. 21(2): 258-261.
  15. Sneath, P.H.A. and Sokal, R.R. (1973). Numerical Taxonomy: the principles and practice of numerical classification. San Francisco. pp. 188-308.
  16. Sohrabi, M., Rafii, M.Y., Hanafi, M.M., Siti Nor Akmar, A. and Latif, M.A. (2012). Genetic diversity of upland rice germplasm in Malaysia based on quantitative traits. Scientific World Journal. 2012: 1-9.
  17. Sumanth, V., Suresh, B.G., Ram, B.J. and Srujana, G. (2017). Estimation of genetic variability, heritability and genetic advance for grain yield components in rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry. 6: 1437-1439.
  18. Tabachnick, B.G. and Fidell, L.S. (2001). Using Multivariate Statistics for agricultural research (4th Edn.). Allyn and Bacon, Boston.
  19. Tuhina-Khatun, M., Hanafi, M.M., Yusop, M.R., Wong, M.Y., Salleh, F.M. and Ferdous, J. (2015). Genetic variation, heritability, and diversity analysis of upland rice (Oryza sativa L.) genotypes based on quantitative traits. Bio Med Research International. 2015: 1-7. DOI: 10.1155/2015/290861
  20. Vange, T. (2009). Biometrical studies on genetic diversity of some upland rice (Oryza sativa L.) accessions. Nature and Science. 7(1): 21-27.
  21. Yadav, R.K. (2000). Studies on genetic variability for some quantitative characters in rice (Oryza sativa L). Advances in Agricultural Research. 13: 205-207. 

Global Footprints