Selection criteria of some advance lines of sesame by the study of correlation and path coefficient analysis

Authors

  • Barnali Roy Department of Botany, Kanchrapara College, Kanchrapara, 743 145, West Bengal, India
  • Amit Kumar Pal Microbiology Research Laboratory, Department of Botany, University of Kalyani, Kalyani 741 235, West Bengal, India

DOI:

https://doi.org/10.14719/pst.2019.6.3.565

Keywords:

Sesame, genotypic correlation, phenotypic correlation, path-co-efficient analysis

Abstract

Sesame (Sesamum indicum L.) is one of the major oil yielding plant in India, but the production of sesame seed is very low. Now it is necessary to establish the selection criteria that directly or indirectly increase the seed yield per sesame plant. In this study, freshly harvested seeds of 21 stable advance lines of sesame and their 8 parents such as R-9, B-14, B-9, B-67, T-12, IDP-51, IET-2, HT-1 were taken to evaluate the selection criteria for higher seed yield. The results indicated that number of branches/plant, number of capsule/plant, number of seeds/capsule and 100 seed weight were strongly related with sesame yield. Thus, selection of advance lines of sesame, that have higher seed yield, can be done on the basis of number of branches/plant, number of seeds/capsule, 100 seed weight and harvest index. Moreover, these traits may be employed as the selection criteria for the betterment of sesame seed yield in future agricultural system.

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References

1. FAOSTAT. Food and Agriculture Organization of the United Nations [online] Available at: http://faostat.fao.org/site/339/default.aspx accessed on December 12, 2016.

2. Roy B, Pal AK. Evaluation of Nutrient Content of Some Advance Lines of Sesame Seeds. International Journal of Pharmacy and Biological Sciences 2019; 9 (1): 1174-1180. https://doi.org/10.21276/ijpbs.2019.9.1.150

3. Arslan Ç, Uzun B, Ülger S, ?lhan Ça??rgan M. Determination of oil content and fatty acid composition of sesame mutants suited for intensive management conditions. Journal of the American Oil Chemists' Society 2007; 84(10):917-20. https://doi.org/10.1007/s11746-007-1125-6

4. Pastorello EA, Varin E, Farioli L, Pravettoni V, Ortolani C, Trambaioli C, Fortunato D, Giuffrida MG, Rivolta F, Robino A, Calamari AM. The major allergen of sesame seeds (Sesamum indicum) is a 2S albumin. Journal of Chromatography B: Biomedical Sciences and Applications 2001; 756(1-2):85-93. https://doi.org/10.1016/S0378-4347(01)00073-1

5. Khan NU, Akbar M, Sabir KM, Iqbal S. Characters association and path coefficient analysis in sesame (Sesamum indicum L.). Journal of Biological Science 2001; 1:99-100. https://doi.org/10.3923/jbs.2001.99.100

6. Hou RC, Huang HM, Tzen JT, Jeng KC. Protective effects of sesamin and sesamolin on hypoxic neuronal and PC12 cells. Journal of Neuroscience Research 2003; 74(1):123-33. https://doi.org/10.1002/jnr.10749

7. Noguchi T, Ikeda K, Sasaki Y, Yamamoto J, Yamori Y. Effects of vitamin E and sesamin on hypertension and cerebral thrombogenesis in stroke?prone spontaneously hypertensive rats. Clinical and Experimental Pharmacology and Physiology 2004; 31:S24-6. https://doi.org/10.1111/j.1440-1681.2004.04103.x

8. Sankar PD, Kumar CR. Character association and path coefficient analysis in sesame (Sesamum indicum L.). Agricultural Science Digest 2003; 23(1), pp.17-19.

9. Williamson KS, Morris JB, Pye QN, Kamat CD, Hensley K. A survey of sesamin and composition of tocopherol variability from seeds of eleven diverse sesame (Sesamum indicum L.) genotypes using HPLC?PAD?ECD. Phytochemical analysis 2008; 19(4):311-22. https://doi.org/10.1002/pca.1050

10. FAOSTAT. http://faostat.fao.org. 2013.

11. Furat S, Uzun B. The use of agro-morphological characters for the assessment of genetic diversity in sesame (Sesamum indicum L.). Plant Omics 2010; 3(3):85-91.

12. Rauf S, Khan MT, Sadaqat HA, Khan AI. Correlation and path Co-efficient analysis of yield components in cotton (Gossypium hirsutum L) International Journal of Agricultural Biology 2004; 6:686-688.

13. Bidgoli AM, Akbari GA, Mirhadi MJ, Zand E, Soufizadeh S. Path analysis of the relationships between seed yield and some morphological and phenological traits in safflower (Carthamus tinctorius L.). Euphytica 2006; 148(3):261-8. https://doi.org/10.1007/s10681-005-9019-x

14. Kumar KB, Vivekanandan P. Correlation and path analysis for seed yield in sesame (Sesamum indicum L.). Electronic Journal of Plant Breeding 2009; 1(1):70-3.

15. Sumathi P, Muralidharan V, Manivannan N. Trait association and path coefficient analysis for yield and yield attributing traits in sesame (Sesamum indicum L). Madras Agricultural Journal 2007; 94(7/12):174-8.

16. Singh RK, Chaudhary BD. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publishers, New Delhi, 1985.

17. Dewey DR, Lu KA. Correlation and Path-Coefficient Analysis of Components of Crested Wheatgrass Seed Production. Agronomy journal 1959; 51(9):515-8. https://doi.org/10.2134/agronj1959.00021962005100090002x

18. Parameshwarappa SG, Palakshappa MG, Salimath PM, Parameshwarappa KG. Studies on genetic variability and character association in germplasm collection of sesame (Sesamum indicum L.). Karnataka Journal of Agricultural Sciences 2009; 22(2):252-4.

19. Goudappagoudra R, Lokesha R, Ranganatha AR. Research Note Trait association and path coefficient analysis for yield and yield attributing traits in sesame (Sesamum indicum L.). Electronic Journal of Plant Breeding 2011; 2(3):448-52.

20. Sankar D, Sambandam G, Rao MR, Pugalendi KV. Modulation of blood pressure, lipid profiles and redox status in hypertensive patients taking different edible oils. Clinica Chimica Acta 2005; 355(1-2):97-104. https://doi.org/10.1016/j.cccn.2004.12.009

21. Lalpantluangi, PC, Shah P. Character association and path coefficient analysis in sesame (Sesamum indicum L.) genotypes under foothill condition of Nagaland. The Pharma Innovation 2018; 7(5, Part B), p.82.

Published

31-07-2019

How to Cite

1.
Roy B, Pal AK. Selection criteria of some advance lines of sesame by the study of correlation and path coefficient analysis. Plant Sci. Today [Internet]. 2019 Jul. 31 [cited 2024 Dec. 22];6(3):356-9. Available from: https://horizonepublishing.com/journals/index.php/PST/article/view/565

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Section

Research Articles