Analysis of some plant measures of narbon vetch (Vicia narbonensis L.) effecting plant length using path analysis

DOI: 10.18805/lr.v0iOF.11183    | Article Id: LR-280 | Page : 755-761
Citation :- Analysis of some plant measures of narbon vetch (Vicia narbonensis L.)effecting plant length using path analysis .Legume Research-An International Journal.2016.(39):755-761

Adil Bakoglu1, Senol Celik2 and Kagan Kokten*3

kahafe1974@yahoo.com
Address :

Program of Field Crops, Vocational School of Higher Education, University of Bingol, Turkey.

Submitted Date : 12-03-2016
Accepted Date : 23-05-2016

Abstract

The direct and indirect effects of sizes of fresh stem weight, dry stem weight, fresh leafweight, dry leaf weighton plant height of narbon vetch were in vestigated using path analysis in Bingol in 2014-15 years. The plant measures of narbon vetch between 4 and 6 weeks of planting were used.The results showed that the highest correlations at 5 week narbon vetch were determined between plant length and respectively dry stem weightand fresh stem weight(r =0.849 and r =0.824). The direct effects of fresh stem weight, dry stem weight, fresh leaf weight, dry leaf weight on plant length at 6 week narbon vetcies were determined respectively as 51.341%, 50.148%, 37.782%, and 24.276%, respectively. As a result, fresh stem weight, dry stem weight were the most efficient characters on plant length and it was concluded that these characters could be considered as significant selection criterias in narbon vetch breeding for yield under that the conditions.

Keywords

Correlation Narbon vetch Path analysis Plant measurement.

References

  1. Acikgoz, E. (2001). Forage Crops. Department of Field Crops, Faculty of Agriculture, University of Uludag, 182, Bursa, 410 p.
  2. Alpar, R. (2011). Applied Multivariate Statistical Methods. Detay Publications No: 429, Ankara, 853 p. 
  3. Bal, C., Dogan, I. (2000). Path Analysis and An Application. 5. Biyoistatistik congress Osmangazi University Publication, 376 p. 
  4. Bennett, S.J., Maxted, N. (1997). An ecogeographic analysis of the Vicia narbonensis complex. Genet. Resour. Crop Evol., 44: 411-428.
  5. Board, J.E., Kang, M.S., Harville, B.G. (1997). Path analyses identify indirect selection criteria for yield of late planted soybean. Crop Science, 37: 879-884.
  6. Buyukburç, U., Iptas, S. (2001). The Yield and Yield Components of some Narbonne Vetch (Vicia narbonensis L.) Lines in Tokat Ecological Conditions. Tr. J. of Agriculture and Forestry, 25: 79-88.
  7. Caballero, R., Alzueta, C., Ortiz, L.T., Rodriguez, M.L., Barro, C., Rebole, A. (2001). Carbohydrate and Protein fractions of fresh and dried common vetch at three maturity stages. Agron. J., 93: 1006–1013.
  8. Chnirakala, R., Subbaraman, N. (2010). Character association and path analysis for yield attributes in full sib progenies in Pigeonpea (Cajanus cajan (L.) Mill Sp.). Electronic Journal of Plant Breeding, 1: 824-827.
  9. Chowdhurry, D., Tate, M.E., McDonald, G.K., Hughes, R. (2001). Progress towards reducing seed toxin levels in common vetch (V. sativa L.). Proceeding of the Australian Society of Agronomy. The regional institute Ltd. Online Community Publishing. Session 5, 1600-1700. Australia.
  10. Davis, P.H. (1970). Flora of Turkey and East Aegean Islands. Edinburgh University Press, Edinburgh, UK. 328-369.
  11. Edwards, J.R., Lambert, L.S. (2007). Methods for Integrating Moderation and Mediation: A General Analytical Framework Using Moderated Path Analysis. Psychological Methods, 12: 1-22. 
  12. Goksoy, A.T., Turan, Z.M. (2003). Evaluation of Biometrical Variations in The Hybrid Genotypes of Sunflower II. Correlation and Path Analysis. Journal of Agricultural Faculty of Uludag University, 1: 1-11.
  13. Güler, M., Adak, M.S., Ulukan, H. (2001). Determining relationships among yield and some yield components using path coefficient analysis in chickpea (Cicer arietinum L.). European Journal of Agronomy, 14: 161-166.
  14. Hayes, A.F., Preacher, K.J. (2014). Statistical mediation analysis with a multicategorical independent variable. British Journal of Mathematical and Statistical Psychology, 67: 451-470.
  15. Hu, X.P., Wang, C.F. (2001). SAS Data and Windows Tutorial of Statistics. 1st Edn. (Cartographic Publishing House of Xi’an: Xi’an, China).
  16. Ikanovic, J., Glamoclija, D., Maletic, R., Popovic, V., Sokolovic, D., Spasic, M., Rakic, S. (2011). Path analysis of the productive traits in sorghum species. Genetika, 43: 253 -262.
  17. Khan, A.S., Ashfaq, M., Asad, M.A. (2003). A Correlation and Path Coefficient Analysis for Some Yield Components in Bread Wheat. Asian Journal of Plant Sciences, 2: 582-584.
  18. Kara, B., Akman, Z. (2007). Path Analysis and Relations of Features Local Wheat Eco Type. Journal of the Institute of Science and Technology of Süleyman Demirel University, 11: 219-224.
  19. Karadavut, U., Genc, A., Ozdemir, S. (2005). Calculation of Linear regressionpath coefficient and applied in agriculture. Vegetable Research Journal, 1: 27–34.
  20. Li, C.X, Jlang, L.N., Shao, Y., Wang, W.L. (2005). Biostatistics. 3rd Edn. (Science Press: Beijing, China.
  21. Maasen, G.H., Bakker, A.B. (2001). Suppressor Variables in Path Models. Sociological Methods and Research, 30: 241-270. 
  22. MacKinnon, D.P. (2008). Introduction to Statistical Mediation Analysis. Mahwah, NJ: Erlbaum, New York, 490 p. 
  23. Prasad, B., Patwary, A.K., Biswas, P.S. (2001). Genetic Variability and Selection Criteria in Fine Rice (Oryza sativa L.). Pakistan Journal of Bioogical Sciences 4: 1188-1190.
  24. Preacher, K.J., Hayes, A.F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior Research Methods, Instruments, & Computers, 36: 717-731
  25. Ramos, E., Alcaide, E.M., Yanez-Ruiz, D., Fernandez, J.R., Sanz Sampelayo, M.R. (2000). Use of different leguminous seeds for lactating goats. Amino acid composition of the raw material and the rumen undegrable fraction. Options Mediter, 74: 285-290.
  26. Rauf, S., Khan, T.M., Sadaqat, H.A., Khan, A.I. (2004). Correlation and path coefficient analysis of yield components in cotton (Gossypium hirsutum L.). International Journal of Agriculture & Biology, 6: 686-688.
  27. Seydosoglu, S., Sayar, M.S. and Basbag, M. (2014). Determination of Yield and Yield Components of Some Narbon Bean Genotype in Diyarbakir Ecological Conditions. Turkish Journal of Agricultural and Natural Science, 1: 64-71.
  28. Soya, H., Avcýoglu, H., Geren, H. (2004). Forage Crops. Hasad Publications Ltd. Sti., Istanbul, 223p.
  29. Turk, M., Celik, N., Bayram, G. and Budaklý, E. (2008). Relationships between seed yield and yield components in narbon bean (Vicia narbonensis L.) by path analysis. Bangladesh J. Bot., 37: 27-32.
  30. Udensi, O., Ikpeme, E.V. (2012). Correlation and Path Coefficient Analyses of Seed Yield and its Contributing Traits in Cajanus cajan (L.) Millsp. American Journal of Experimental Agriculture 2: 351-358.
  31. Wright, S. (1968). Genetic and Biometric Foundation. The University of Chicago Pres. Vol. 1, IL, USA. 480 p.
  32. Wilson, R.T., Yýlmaz, O., Ertuðrul, M. (2011). The Domestic Livestock Resources of Turkey: Pig. Pig Veterinary Journal, 66: 26-30.
  33. Yucel, C. (2004). Correlation and path coefficient analyses of seed yield components in thenarbon bean (Vicia narbonensis L.). Turkish Journal of Agriculture and Forestry 28: 371-376.

Global Footprints