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Relationship Between Essential Oil Content, Fruit Yield and Yield Component in Foeniculum vulgare Mill.

Year 2021, Volume 4, Issue 2, 93 - 102, 30.12.2021
https://doi.org/10.38093/cupmap.991656

Abstract

Foeniculum vulgare Mill. naturally spread in Turkey flora, and it’s also cultivated. Its cultivation is widely carried out in Burdur and Denizli region. Especially, it is used as a milk enhancer when drunk as tea for breastfeeding mothers and as a carminative and relaxing for babies. The aim of the study was to determine the relationship between yield and quality characteristics of F. vulgare L. is cultivated and used in Turkey. For this purpose, correlation analysis and path analysis were applied to essential oil content (EOC)and fruit yield. EOC was significantly and positively associated with the number of umbellet (0.684 **), number of fruit (0.589 *), Thousand Fruit Weight (TFW) (0.563 *) and plant height (0.530 *). The highest positive correlation was obtained among with fruit yield and biological yield (r= 0.929**). Fruit yield has a significant corelation also between fruit number (0.805**), TFW (0.726**), plant height (0.696**) and umbellet number (0.609**). Branch number has a negative and unsignificant corelation between all the characteristics, but also has a negative and significant correlation among plant height. According to the path analysis results, the highest direct influence on EOC were the biological yield (-33.02%), but negative and fruit yield (30.23%) parameters. The maximum positive effects on fruit yield in fennel belongs to biological yield (59.88%), TFW (29.41%) and plant height (20.16%). In addition, fruit number, plant height and TFW showed the maximal indirect effects on fruit yield through biological yield. The same traits also affected the essential oil content and indirectly and positively. Therefore, these traits can be evaluated as selection criterion to attain higher essential content and fruit yield in F. vulgare L.

References

  • 1. Açıkgöz, N., İlker, E. and Gökçöl, A. 2004. Evaluation of Biological Researches by Computer. p.149-192. Publication of Agricultural Faculty, No: 2 İzmir.
  • 2. Aharizad S, Rahimi, MH, Toorchi M, Mohebalipour N. 2013. Assessment of Relationship between Effective Traits on Yield and Citral Content of Lemon Balm (Melissa officinalis L.) Populations using Path Analysis. Indian Journal of Science and Technology; 6:4447-4452.
  • 3. Al-Kordy, M.A.A., 2000. Mother plant selection in local germplasm of fennel Foeniculum vulgare Mill. Ann. Agric. Sci. 38 (4), 2199–2215.
  • 4. Avci, A.B. 2013. Effect of seeding rate on yield and quality of nonchemical fennel (Foeniculum vulgare Mill.) cultivation, Turkish Journal of Field Crops. 18: (1), 27-33.
  • 5. Bahmani, K., Izadi Darbandi, A., Sadat Noori, S.A., Jafari, A.A., Moradi, N., 2012. Determination of interrelationships among phenotypic traits of Iranian fennel (Foeniculum vulgare Mill.) using correlation, stepwise regression and path analyses. J. Essent. Oil Bear. Plants 15 (3), 424–444.
  • 6. Bahmani, K., Darbandi, A.I., Ramshini, H.A., Moradi, N., Akbari, A., 2015. Agro-morphological and phytochemical diversity of various Iranian fennel landraces. Ind. Crops Prod. 77, 282–294.
  • 7. Baydar, H., 2009. Medicinal and Aromatic Plants Science and Technology. 3. ed. Suleyman Demirel University Publ. 51, Isparta.
  • 8. Dashora, A, and Sastry, E.V.D. 2011. Variability, character association and path coefficient analysis in fennel. Indian Journal of Horticulture, 68(3): 351-356.
  • 9. Dewey, D.R. and K.H. Lu. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy J. 51: 515-518.
  • 10. Cosge, B., Ipek A. and Gurbuz, B. 2009. Some phenotypic selection criteria to improve seed yield and essential oil percentage of sweet fennel (Foeniculum vulgare Mill var. Dulce). Tarım Bilimleri Dergisi, 15 (2): 127-133.
  • 11. Kalleli, F., Rebey, I.B., Razgallah, N., Tounsi, M.S., M’Hamdi, M. 2019. Comparative analysis of morphological and chemical variability in different fennel (Foeniculum vulgare mill.) Cultivars. International Journal of Agriculture, Environment and Bioresearch. Vol. 4, No. 04. ISSN: 2456-8643.
  • 12. Kumawat, S.K. 2010. Evaluation of S6 progenies of fennel (Foeniculum vulgare Mill.) for yield and its component traits. Swami Keshwanand Rajasthan Agricultural University, Bikaner. Master of Science Thesis. p:119.
  • 13. Lal, R.K., (2007). Association among agronomic traits and path analysis in fennel. Journal of Sustainable Agriculture, 30, 21-29.
  • 14. Malhotra, S. K. 2012. Fennel and Fennel Seed. In Handbook of Herbs and Spices; Peter, K. V., Ed.; Woodhead Publishing Ltd. Cambridge. Vol. 2, pp 275– 302.
  • 15. Meena, R.S, and Dhakar LAD. 2017. Genetic variability, correlation and path analysis in Fennel (Foeniculum vulgare Mill.) genotypes. Journal of Agri Search, Vol.4, No.4:231-236
  • 16. Patel, Y.N. and Patel, M.P. 2015. Path Coefficient Analysis for Quantitative and Qualitative Traits in Fennel (Foeniculum vulgare Mill.). Trends in Biosciences 8(3):820-822.
  • 17. Patidar, Pawan Kumar; Choudhary, Ramesh; JAT, Bhanwar Lal. Genetic Variability, Divergence, Correlation and Path Analysis in Foeniculum vulgare Mill. Germplasm. Asian Journal of Bio Science, [S.l.], p. 209-222, oct. 2017. ISSN 0976-8343.
  • 18. Rashid, M. H., Parveen, S. & Bhuiyan, M.S.R. (2010). Genetic variability, correlation and path coefficient analysis in nineteen Brassica rapa germplasm. J. Sher-e-Bangla Agric. Uni., 4(1): 84-89.
  • 19. Sefidan A.Y., Valizadeh M., Aharizad S., Sabzi M. 2014. Path analysis of grain yield, some morphological traits and essential oil content in different fennel (Foeniculum vulgare Mill.) populations, Journal of Biodiversity and Environmental Sciences. 4(5): 10-15.
  • 20. Seidemann J. 2005. World Spice Plants, Economic Usages, Botany and Taxonomy. Springer Verlag, Berlin, p.591.
  • 21. Singh, R.K. and Kakar, S.N. 1977. Control on individual trait means during index selection. Proc. Third Congr. SABRAO (Canberra). 3: 22-25.
  • 22. Singh, R.H. and Chaudhary, B.D. 1979. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publisher: New Delhi, India. pp. 1–304.
  • 23. Singh, Y. and Mittal, P. 2003. Correlation and path coefficient analysis in fennel (Foeniculum vulgare Mill.). Crop Research 25:111-115.
  • 24. Singh, S., Rizivi, H., Lal, R.K., Sarkar, S., Gupta, P., Rai, S.K., 2014. Genetic variability and character associations among economic traits in fennel (Foeniculum vulgare Miller). J. Essent. Oil-Bear. Plants 17(6), 1367-1372.
  • 25. Singh, P., Kakralya, B.L., Ola, M.P., Sharma, M.K. and Kumawat, K., 2020. Correlation and Path Analysis in Fennel (Foeniculum vulgare Mill.) in Normal and Drought Condition Int. J. Curr. Microbiol. App. Sci. Special Issue-11: 1342-1348.
  • 26. Wichtl M. 1971. Die Pharmakognostisch-Chemische Analyse Akad. Verlagsgesellschaft, Frankfurt, pp. 479.
  • 27. Yadav PS, Pandey VP, Yadav Y. 2013. Variability studies in fennel (Foeniculum vulgare Mill.). Journal of Spices and Aromatic Crops. 22(2):203-208.
  • 28. Yogi, R., Meena, R. S., Kakani, R. K. Panwar, A. and Solanki, R. K. 2013.Variability of some morphological characters in fennel (Foeniculam vulgare Mill.) International Journal of Seed Spices,3 (1): 41- 43.

Year 2021, Volume 4, Issue 2, 93 - 102, 30.12.2021
https://doi.org/10.38093/cupmap.991656

Abstract

References

  • 1. Açıkgöz, N., İlker, E. and Gökçöl, A. 2004. Evaluation of Biological Researches by Computer. p.149-192. Publication of Agricultural Faculty, No: 2 İzmir.
  • 2. Aharizad S, Rahimi, MH, Toorchi M, Mohebalipour N. 2013. Assessment of Relationship between Effective Traits on Yield and Citral Content of Lemon Balm (Melissa officinalis L.) Populations using Path Analysis. Indian Journal of Science and Technology; 6:4447-4452.
  • 3. Al-Kordy, M.A.A., 2000. Mother plant selection in local germplasm of fennel Foeniculum vulgare Mill. Ann. Agric. Sci. 38 (4), 2199–2215.
  • 4. Avci, A.B. 2013. Effect of seeding rate on yield and quality of nonchemical fennel (Foeniculum vulgare Mill.) cultivation, Turkish Journal of Field Crops. 18: (1), 27-33.
  • 5. Bahmani, K., Izadi Darbandi, A., Sadat Noori, S.A., Jafari, A.A., Moradi, N., 2012. Determination of interrelationships among phenotypic traits of Iranian fennel (Foeniculum vulgare Mill.) using correlation, stepwise regression and path analyses. J. Essent. Oil Bear. Plants 15 (3), 424–444.
  • 6. Bahmani, K., Darbandi, A.I., Ramshini, H.A., Moradi, N., Akbari, A., 2015. Agro-morphological and phytochemical diversity of various Iranian fennel landraces. Ind. Crops Prod. 77, 282–294.
  • 7. Baydar, H., 2009. Medicinal and Aromatic Plants Science and Technology. 3. ed. Suleyman Demirel University Publ. 51, Isparta.
  • 8. Dashora, A, and Sastry, E.V.D. 2011. Variability, character association and path coefficient analysis in fennel. Indian Journal of Horticulture, 68(3): 351-356.
  • 9. Dewey, D.R. and K.H. Lu. 1959. A correlation and path coefficient analysis of components of crested wheat grass seed production. Agronomy J. 51: 515-518.
  • 10. Cosge, B., Ipek A. and Gurbuz, B. 2009. Some phenotypic selection criteria to improve seed yield and essential oil percentage of sweet fennel (Foeniculum vulgare Mill var. Dulce). Tarım Bilimleri Dergisi, 15 (2): 127-133.
  • 11. Kalleli, F., Rebey, I.B., Razgallah, N., Tounsi, M.S., M’Hamdi, M. 2019. Comparative analysis of morphological and chemical variability in different fennel (Foeniculum vulgare mill.) Cultivars. International Journal of Agriculture, Environment and Bioresearch. Vol. 4, No. 04. ISSN: 2456-8643.
  • 12. Kumawat, S.K. 2010. Evaluation of S6 progenies of fennel (Foeniculum vulgare Mill.) for yield and its component traits. Swami Keshwanand Rajasthan Agricultural University, Bikaner. Master of Science Thesis. p:119.
  • 13. Lal, R.K., (2007). Association among agronomic traits and path analysis in fennel. Journal of Sustainable Agriculture, 30, 21-29.
  • 14. Malhotra, S. K. 2012. Fennel and Fennel Seed. In Handbook of Herbs and Spices; Peter, K. V., Ed.; Woodhead Publishing Ltd. Cambridge. Vol. 2, pp 275– 302.
  • 15. Meena, R.S, and Dhakar LAD. 2017. Genetic variability, correlation and path analysis in Fennel (Foeniculum vulgare Mill.) genotypes. Journal of Agri Search, Vol.4, No.4:231-236
  • 16. Patel, Y.N. and Patel, M.P. 2015. Path Coefficient Analysis for Quantitative and Qualitative Traits in Fennel (Foeniculum vulgare Mill.). Trends in Biosciences 8(3):820-822.
  • 17. Patidar, Pawan Kumar; Choudhary, Ramesh; JAT, Bhanwar Lal. Genetic Variability, Divergence, Correlation and Path Analysis in Foeniculum vulgare Mill. Germplasm. Asian Journal of Bio Science, [S.l.], p. 209-222, oct. 2017. ISSN 0976-8343.
  • 18. Rashid, M. H., Parveen, S. & Bhuiyan, M.S.R. (2010). Genetic variability, correlation and path coefficient analysis in nineteen Brassica rapa germplasm. J. Sher-e-Bangla Agric. Uni., 4(1): 84-89.
  • 19. Sefidan A.Y., Valizadeh M., Aharizad S., Sabzi M. 2014. Path analysis of grain yield, some morphological traits and essential oil content in different fennel (Foeniculum vulgare Mill.) populations, Journal of Biodiversity and Environmental Sciences. 4(5): 10-15.
  • 20. Seidemann J. 2005. World Spice Plants, Economic Usages, Botany and Taxonomy. Springer Verlag, Berlin, p.591.
  • 21. Singh, R.K. and Kakar, S.N. 1977. Control on individual trait means during index selection. Proc. Third Congr. SABRAO (Canberra). 3: 22-25.
  • 22. Singh, R.H. and Chaudhary, B.D. 1979. Biometrical Methods in Quantitative Genetic Analysis. Kalyani Publisher: New Delhi, India. pp. 1–304.
  • 23. Singh, Y. and Mittal, P. 2003. Correlation and path coefficient analysis in fennel (Foeniculum vulgare Mill.). Crop Research 25:111-115.
  • 24. Singh, S., Rizivi, H., Lal, R.K., Sarkar, S., Gupta, P., Rai, S.K., 2014. Genetic variability and character associations among economic traits in fennel (Foeniculum vulgare Miller). J. Essent. Oil-Bear. Plants 17(6), 1367-1372.
  • 25. Singh, P., Kakralya, B.L., Ola, M.P., Sharma, M.K. and Kumawat, K., 2020. Correlation and Path Analysis in Fennel (Foeniculum vulgare Mill.) in Normal and Drought Condition Int. J. Curr. Microbiol. App. Sci. Special Issue-11: 1342-1348.
  • 26. Wichtl M. 1971. Die Pharmakognostisch-Chemische Analyse Akad. Verlagsgesellschaft, Frankfurt, pp. 479.
  • 27. Yadav PS, Pandey VP, Yadav Y. 2013. Variability studies in fennel (Foeniculum vulgare Mill.). Journal of Spices and Aromatic Crops. 22(2):203-208.
  • 28. Yogi, R., Meena, R. S., Kakani, R. K. Panwar, A. and Solanki, R. K. 2013.Variability of some morphological characters in fennel (Foeniculam vulgare Mill.) International Journal of Seed Spices,3 (1): 41- 43.

Details

Primary Language English
Subjects Agricultural, Engineering
Journal Section Research Articles
Authors

R. Refika AKÇALI GİACHİNO (Primary Author)
Ege Üniversitesi Ziraat Fakültesi Tarla Bitkileri Bölümü
0000-0002-6473-7250
Türkiye


Betül AVCI
Ege Üniversitesi Ödemiş Meslek Yüksek Okulu
0000-0001-9541-6284
Türkiye

Publication Date December 30, 2021
Published in Issue Year 2021, Volume 4, Issue 2

Cite

APA Akçalı Giachino, R. R. & Avcı, B. (2021). Relationship Between Essential Oil Content, Fruit Yield and Yield Component in Foeniculum vulgare Mill. . Current Perspectives on Medicinal and Aromatic Plants (CUPMAP) , 4 (2) , 93-102 . DOI: 10.38093/cupmap.991656

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