Journal of Forest and Environmental Science

Institute of Forest Science, kangwon National University (강원대학교 산림과학연구소)
권호 표지
DOI QR코드

DOI QR Code

Assessing the Performance of Pongamia pinnata (l.) Pierre under Ex-situ Condition in Karnataka

  • Received : 2021.06.29
  • Accepted : 2021.09.15
  • Published : 2022.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

Pongamia (Pongamia pinnata L.) as a source of non-edible oil, is potential tree species for biodiesel production. For several reasons, both technical and economical, the potential of P. pinnata is far from being realized. The exploitation of genetic diversity for crop improvement has been the major driving force for the exploration and ex situ/in situ conservation of plant genetic resources. However, P. pinnata improvement for high oil and seed production is not achieved because of unsystematic way of tree improvement. Performance of P. pinnata planted by Karnataka Forest Department was assessed based on yield potential by collecting 157 clones out of 264 clones established by Karnataka Forest Department research wing under different research circles/ranges. It was evident that the all the seed and pod traits were significantly different. Further, selection of superior germplasm based on oil and pod/seed parameters was achieved by application of Mahalanobis statistics and Tocher's technique. On the basis of D2 values for all possible 253 pairs of populations the 157 genotypes were grouped into 28 clusters. The clustering pattern showed that geographical diversity is not necessarily related to genetic diversity. Cluster means indicated a wide range of variation for all the pod and seed traits. The best cluster having total oil content of more than 34.9% with 100 seed weight of above 125 g viz. Cluster I, II, III, IX, XV, XIX, XXI, XXIII, XXVI and XXVII were selected for clonal propagation.

Keywords

Acknowledgement

The authors wish to thank the Director, IWST for providing all necessary facilities for this study. Authors are grateful to Group Coordinator Research and Head of the Divisions for providing necessary guidance and support for this study. The authors like to extend sincere thanks to the officials of Karnataka State Forest Department for granting permission to conduct the study in their Pongamia pinnata plantations and for extending help and support during the field work.

References

  1. Chaturvedi OP, Pandey N. 2001. Genetic Divergence in Bombax ceiba L. Germplasms. Silvae Genet 50: 99-102.
  2. Council of Scientific & Industrial Research (India). 1969. The Wealth of India: A Dictionary of Indian Raw Materials & Industrial Products. Publications and Information Directorate, New Delhi.
  3. Daniel JN. 1997. Pongamia Pinnata - A Nitrogen Fixing Tree for Oilseed. NFTA.
  4. Dias LA, Kageyama PY. 1997. Multivariate genetic divergence and hybrid performance of cacao (Theobroma cacao L.). Braz J Genet 20: 63-70. https://doi.org/10.1590/S0100-84551997000100012
  5. Gohil RH, Pandya JB. 2008. Genetic diversity assessment in physic nut (Jatropha curcas L.). Int J Plant Prod 2: 321-326.
  6. Gomez KA, Gomez AA. 1984. Statistical Procedures for Agricultural Research. 2nd ed. Wiley, New York, NY.
  7. Kaushik N, Kumar K, Kumar S, Kaushik N, Roy S. 2007. Genetic variability and divergence studies in seed traits and oil content of Jatropha (Jatropha curcas L.) accessions. Biomass Bioenergy 31: 497-502. https://doi.org/10.1016/j.biombioe.2007.01.021
  8. Kole PC, Mishra AK. 2002. Divergence analysis in fenugreek (Trigonella foenum-graecum L.). Res Crops 3: 197-199.
  9. Kole PC, Saha A. 2009. Genetic Divergence in Fenugreek in Rich and Poor Environments. J New Seeds 10: 138-147. https://doi.org/10.1080/15228860902930081
  10. Kureel RS. 2007. Biofuel scenario in India. In: 4th International Conference on Biofuels: Conference Proceedings; New Delhi, India; Feb 1-2, 2007.
  11. Mahalonobis PC. 1936. On the generalized distance in statistics. In: Proceeding of National Institute of Sciences (National Institute of Sciences of India, ed). Baptist Mission Press, Lower Circular Road, pp 49-55.
  12. Maxted N, Hawkes J, Guarino L, Sawkins M. 1997. Towards the selection of taxa for plant genetic conservation. Genet Resour Crop Evol 44: 337-348. https://doi.org/10.1023/A:1008643206054
  13. Mukta N, Murthy IYLN, Sripal P. 2009. Variability assessment in Pongamia pinnata (L.) Pierre germplasm for biodiesel traits. Ind Crops Prod 29: 536-540. https://doi.org/10.1016/j.indcrop.2008.10.002
  14. Rao CR. 1952. Advanced statistical Methods in Biometric Research. Wiley, New York, NY, 260 pp.
  15. Sadasivam S, Manickam A. 1992. Biochemical Methods for Agricultural Sciences. Wiley Eastern, New Delhi.
  16. Singh AK, Singh SB, Singh SM. 1996. Genetic divergence in scented and fine genotypes of rice (Oryza sativa L.). Ann Agric Res 17: 163-166.
  17. Singh RK, Chaudhary BD. 1977. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi, 596 pp.
  18. Singh YP, Kumar A, Chauhan BPS. 1981. Genetic divergence in pearl millet. Indian J Genet 41: 186-190.
  19. Thoday JM. 1960. Effects of disruptive selection. III. Coupling and repulsion. Heredity 14: 35-49. https://doi.org/10.1038/hdy.1960.3
  20. Vivekanandan P, Subramanian S. 1993. Genetic divergence in rainfed rice. Oryza 30: 60-62.