M. Tewodros, M. Firew, H. Shimelis, G. Endale
M. Tewodros1*, M. Firew2, H. Shimelis3, G. Endale4
1Jimma Agricultural Research Center, P.O. Box 192, Jimma, Ethiopia.
2Haramaya University, School of Plant Sciences, P.O. Box 138, Dire Dawa, Ethiopia.
3African Centre for Crop Improvement, School of Agriculture, Earth and Environmental Sciences, University of Kwa Zulu-Natal, Private Bag X01, Scottsville, 3209, Pietermaritzburg, South Africa.
4Ethiopian Institute of Agricultural Research, P.O. Box 2003, Addis Ababa, Ethiopia.
Volume - 12,
Issue - 4,
Year - 2020
Understanding the nature of associations among economically important traits is essential to improve selection efficiency in plant breeding programs. This study aimed to determine the magnitude of association between tuber yield and related traits and to identify the most influential character(s) involving 36 landrace collections of yams for effective selection and conservation. Field evaluations were conducted at Jimma Agricultural Research Center in Ethiopia using a 6x6 lattice design with two replications during 2015. Data on 12 qualitative and 19 quantitative traits were collected and subjected to analysis of variance, correlation and path analyses. Highly significant differences (p<0.01) were detected among collections for the studied traits. Signi?cant and positive correlations were detected between tuber fresh weight (TFW) with vine length (VL), days to maturity (DM) and tuber diameter (TDi). Tuber length (TL) positively and significantly correlated with leaf length (LL), vine length (VL) and internodes length (IL). Tuber diameter (TDi) positively correlated with LL, TuL, IL, DM and leaf width (LW). Leaf color (LC), leaf size (LSi), petiole color (PC), vine color (VC), tuber skin color (TSC) and tuber flesh color (TFC) had signi?cantly negative correlations with TFW and TuL. Path analysis revealed high direct path coefficient value (1.112) between LL and TuL. Also, positive direct path coefficient value (1.018) was exhibited between DM and TFW. Relatively high direct path coefficient value (0.356) was exhibited between leaf shape (LS) and TuL. This study revealed that selection for increased above ground biomass and days to maturity may improve genetic gain in storage tuber yield and length of tuber in yam breeding. Using the overall analyses, the following collections such as: 27/02, 56/76, 08/02, 10/002,39/87, 45/03,6/02,116, and 7/83 were selected for breeding and conservation.
Cite this article:
M. Tewodros, M. Firew, H. Shimelis, G. Endale. Interrelationship and Path analysis of Tuber yield and related traits in yam (Dioscorea spp.) from Ethiopia. Res. J. Pharmacognosy and Phytochem. 2020; 12(4):207-218. doi: 10.5958/0975-4385.2020.00035.7
M. Tewodros, M. Firew, H. Shimelis, G. Endale. Interrelationship and Path analysis of Tuber yield and related traits in yam (Dioscorea spp.) from Ethiopia. Res. J. Pharmacognosy and Phytochem. 2020; 12(4):207-218. doi: 10.5958/0975-4385.2020.00035.7 Available on: http://rjpponline.org/AbstractView.aspx?PID=2020-12-4-4
1. Alam, S, Euphemia, S, Bora, P., Saud, BK., 2014. Genetic variation in different cultivars of greater yam (Dioscorea alata). Journal of root crops, 40(1): 1-5.
2. Asiedu, R, Alieu, S., 2010. Crops that feed the world 1. Yams, Journal of food Science, 2:305-315.
3. Bhatt, GM., 1973. Signiﬁcance of path coefﬁcient analysis in determining the nature of character association. Euphytica, 22:338–343.
4. Christopher, SC., 2000. Path Analysis of the correlation between fruit number and plant traits of cucumber populations. HortScience, (4):708–711.
5. Coursey, DG., 1967. Yams: an account of the nature, origins, cultivation and utilization of the Useful members of the Dioscoreaceae.Longmans. Green and Co Ltd (London), p 230.
6. Cramer, CS., Wehnerm TC., 2000. Path analysis of the correlation between fruit number and plant traits of cucumber populations. HortScience. 35:708–711.
7. Dansi, A, Dantseyand, BH., Vodouhè, R., 2013. Production constraints and farmers’ cultivar preference criteria of cultivated yams (DioscoreacayenensisDioscorearotundata complex) in Togo.International J. Biol. Chem. 9(1): 388-408.
8. Dewey, DR, Lu, KH., 1959. A correlation and path coefficients analysis of components of crested wheat grass seed production. Agronomy Journal, 51:515-518.Dominic, AO., Ukaobasi, E., Ogon T., 2014. Association and Path Coefficients Analysis of Fresh Root Yield of High and Low Cyanide Cassava (Manihot esculenta Crantz) Genotypes in the Humid Tropics. Journal of Crop Science and Biotechnology,17(2): 103-109
9. Dominic AO., Ukaobasi E, Ogon T. 2014. Association and path coefficients analysis of fresh root yield of high and low cyanide cassava (Manihot esculenta Crantz) genotypes in the humid tropics. Journal of Crop Science and Biotechnology,17(2): 103-109
10. Falconer, DS., Mackey, FC., 1996. Introduction to quantitative genetics. 4th ed. London: Longman Genres, 2008. Genres statistical software User’s Guide Version 16, Genres Inc. USA.
11. Girma, G., Korie, S., Dumet, D., Franco, J., 2012. Improvement of accession distinctiveness as an added value to the global worth of the yam (Dioscoreaspp) genebank. International Journal of Conservation Sciences, 3(3):199-206.
12. Gomez, KA., Gomez, AA., 1984. Statistical Procedures for Agricultural Research. 2nd ed. John Wiley and Sons, inc., New York.
13. Hildebrand, EA., 2003. Motives and opportunities for domestication: an ethno- archaeological study in southwest Ethiopia. Journal of Anthropological Archeology, 22:358-375.
14. IPGRI/IITA., 1997. Descriptors for yam (Dioscorea spp.). International Institute for Tropical Agriculture, Ibadan, Nigeria/International Plant Genetic Resources Institute, Rome, Italy, p.66.
15. Kifle, A., 2006. Characterization and divergence analysis of some Ethiopian taro [Colocasiaesculenta (L.)] accessions M.Sc. Thesis, Haramaya University, Haramaya, Ethiopia, p.84.
16. Lebot, V., 2009. Tropical tuber and tuber crops: cassava, sweet potato, yams, aroids. CABI: Wallingford, Oxfordshire.
17. Li, CC., 1956. The concept of path coefﬁcient and its impact on population genetics. Biometrics, 12:190–210.
18. Mashilo, J., Hussein, S., Alfred, O., 2016. Correlation and path coefficient analyses of qualitative and quantitative traits in selected bottle gourd landraces. Acta Agriculturae Scandinavica, Section B. Soil and Plant Science, 1-13.
19. Mohammadi, SA., Prasanna, BM., Singh, NN., 2003. Sequential path model for determining interrelationships among grain yield and related characters in maize. Crop Sci., 43:1690–1697.
20. Monkola, M., 2013. Genetic variability and association among yield and yield related traits in cassava (Manihotesculenta Crantz) in southwest Ethiopia. MSc. Thesis presented at School of Graduate studies, Jimma University, Jimma, Ethiopia. p.85.
21. Mulualem, T., Dagne, Y., 2013.Studies on correlation and path analysis for root yield and related traits of Cassava (ManihotesculentaCrantz) in South Ethiopia.Journal of Plant Sciences,1(3):33-38.
22. Mulualem, T., Weldemichel, G., 2013. Agronomical evaluation of aerial yam (Dioscorea bulbifera) accessions collected from South and Southwest Ethiopia. Greener Journal of Agricultural Sciences, 3(9): 693-704.
23. Mulualem, T., Weldemichael, G., Benti, T., Walle, T., 2013.Genetic Diversity of Cassava (Manihot esculenta Crantz) Genotypes in Ethiopia. Greener Journal of Agricultural Sciences, 3(9): 636-642
24. Norman, PE., Tongoona, P., Shanahan, P.E., 2011. Determination of interrelationships among agro morphological traits of yams (Dioscorea spp.) usingcorrelation and factor analyses. Journal of Applied Biosciences, 45: 3059– 3070.
25. Norman, P. E., Tongoona P., Danson J., Shanahan, PE., 2012. Molecular characterization of some cultivated yam (Dioscorea spp.) genotypes in Sierra Leone using simple sequence repeats. International Journal of Agronomy Plant Production, 3(8): 265-273.
26. Pandey, G., Dhobal, V, Sapra, RL., 1996. Genetic variability, correlation and path analysis in Taro [(Colocasia esculenta (L.)]. Journal ofhill. Res.,9: 299-302.
27. Paul, KK., Bari, MA., Debnath, SC., 2013. Correlation and path coefficient studies of yield and yield attributing characters in taro [(Colocasia esculenta (L.)]. Journal of Bangladesh Academy of Sciences, 37(2): 131-137
28. SAS, Institute. 2000. Statistical Analytical Systems SAS/STAT user’s guide version, 8(2) cary NC: SAS institute inc.
29. Sesay, L, Norman, P.E., Massaquo, i A., Gboku, M.L., Fomba, SN., 2013. Assessment of farmers’ indigenous knowledge and selection criteria of yam in Sierra Leone. Sky Journal of Agricultural Research, 2(1):1–6.
30. Statistical Package for Social Sciences., 1996. SPSS for windows. User’s guide: Statistics version 16. Inc. Cary, NC.
31. Tamiru, M., Heiko, C.B, Brigitte, LM., 2011. Comparative analysis of Morphological and farmers cognitive diversity in yam landraces (Dioscorea spp.) from Southern Ethiopia. Tropical Agriculture development, 55(1): 28-43.
32. Tsegaye, E., Devakara, FV., Nigussie, D., 2006. Correlation and path analysis in sweet potato and their implication for clonal selection. Journal of Agronomy, 5(3):391-395.
33. Williams, WA., Jones, MB., Demment, MW., 1990. A concise table for path analysis statistics. Agronomy Journal, 82:1022–1024.
34. Wright, S. ,1921. Theory of path coefficients. Genetics. 8:239–255
35. Wright, S., 1934. The method of path coefficients. Annal Mat Stat. 5:161–215.
36. Zeven, A.C., De Wet, J.M., 1982. Dictionary of cultivated plants and their region of diversity: Center for Agricultural Publication and Documentation, (Wageningen), p.259.