Legume Research

  • Chief EditorJ. S. Sandhu

  • Print ISSN 0250-5371

  • Online ISSN 0976-0571

  • NAAS Rating 6.80

  • SJR 0.391

  • Impact Factor 0.8 (2024)

Frequency :
Monthly (January, February, March, April, May, June, July, August, September, October, November and December)
Indexing Services :
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Google Scholar, CrossRef, CAB Abstracting Journals, Chemical Abstracts, Indian Science Abstracts, EBSCO Indexing Services, Index Copernicus
Submit

Research Article

Legume Research, volume 39 issue 4 (august 2016) : 533-542

Examination of plant length, dry stem and dry leaf weight of bitter vetch [Vicia ervilia (L.) Willd.] with some non-linear growth models

Adil Bakoglu1, Senol Celik2, Kagan Kokten*, Omer Kilic3
1<p>Department of Field Crops, Faculty of Agriculture,&nbsp;University of Bingol, Turkey.</p>
Cite article:- Bakoglu1 Adil, Celik2 Senol, Kokten* Kagan, Kilic3 Omer (2016). Examination of plant length, dry stem and dry leaf weight of bitter vetch[Vicia ervilia (L.) Willd.] with some non-linear growth models . Legume Research. 39(4): 533-542. doi: 10.18805/lr.v0iOF.11182.

ABSTRACT

In this study, the ais is to determine the best model for plant length, dry stem and dry leaf weight in different species of bitter vetch by using non-linear growth models. In the study, IFVE 3977-SEL 2802, HAT-14, IFVE 3977-SEL 2802 and Mardin Population bitter vetch species were used as materials. Bertalanffy, Logistic, and Gompertz models were used. At the end of the study, the best models identifying plant length of bitter vetch Logistic in IFVE 3977-SEL 2802 species and Bertalanffy model in IFVE 3351-SEL 2804, HAT-14 and Mardin Population species. Dry stem weight was identified best with Logistic model in IFVE 3977-SEL 2802 and HAT-14 species, Bertalanffy model in IFVE 3351-SEL 2804 and Gompertz model in Mardin population species. Dry leaf weight was identified best with Gompertz model in IFVE 3977-SEL 2802 and Mardin Population, Logistic model in IFVE 3351-SEL 2804 and HAT 14 species.

REFERENCES


  1. Akbas, Y., Akbulut, O., Tuzemen, N. (2001). Growth of Holstein cows in high altitude of Turkey. Indian Journal Animal Science,71: 476-479.

  2. Ayhan, E. (1989). Investigations on some agricultural properties of bitter vetch [Vicia ervilia (L.) Willd.]. (Unpublished M.Sc). Institute of Science and Technology, University of Ankara.

  3. Beverton, R.J.H., Holt, S.J. (1957). On the dynamics of exploited fish populations. Fish. Invest. Minist. Agric. Fish. Food. G. B. (2 sea fish) (Ser. 2), 19: 533p.

  4. Cerrato, M.E., Blackmer, A.M. (1990). Comparison of model for comparison yield responseto nitrogen fertilizer. Agronomy Journal, 82: 138-143.

  5. Damgaard, C., Weiner, J., Nagashima, H. (2002). Modeling individual growth and competitionin plant populations: growth curves of Chenopodium album at two densities. Journal of Ecology, 9: 666-671.

  6. Davis, P.H. (1969). Flora of Turkey-3. Edinburgh University Press, 3, p600.

  7. Dwyer, L.M., Stewart, D.W. (1986). Leaf area development in field-grown maize. Agronomy Journal, 78: 334-343.

  8. Ekiz, H. (1988). The Comparison of some agricultural properties in bitter vetch (Vicia ervilia (L.) Willd.) line. Ankara University Agriculture Faculty Lesson Book:1098. Scientific Research and Surveys, 196. 

  9. Ekiz, H., Ozkaynak, I. (1984). Studies on important morphological, biological and agricultural characters of some bitter vetch (Vicia ervilia (L.) Willd.) varieties that grown in Turkey. Institute of Science and Technology, University of Ankara Pub. No: 5. 

  10. Ev, B.K., Ekiz, H. (1994). The effect of sowing rate on yield and yield components of bitter vetch [Vicia ervilia (L.) Willd.]. Journal of Agriculture, 3: 35-43.

  11. Gregorczyk, A. (1994). Application of the Richards function to the description of leaf area growth in maize (Zea mays L.). Acta Societatis Botanicorum Poloniae, 63: 5-7.

  12. Graybill, F.A., Iyer, H.K. (1994). Regression analysis: concepts and applications. Hardcover, ISBN-13: 978-0534198695 ISBN-10: 0534198694 Edition: 1st.

  13. Joliffe, I.T., Jones, B., Morgan, B.J.T. (1988). Stability and influence in cluster analysis. Data Analysis and Informatics (eds E. Diday et al.), 5: 507-514. Amsterdam: North-Holland.

  14. Karadavut, U., Tozluca, A. (2005). Growth analysis some characters in rye plants (Secale cereale L.) growth of root and upper ground parts. Journal of Crop Research, 2: 1-10.

  15. Karadavut, U., Genc, A., Tozluca, A., Palta, C. (2008). Analysis of dry matter accumulation using some mathematical growth models in silage and seed corns. Journal of Agriculture Science, 16: 89-96.

  16. Karadavut, U., Kokten, K., Kavurmaci, Z. (2010a). Comparison of relative growth rates in silage corn cultivars. Asian Journal of Animal and Veterinary Advances, 5: 223-228.

  17. Karadavut, U., Palta, C., Kokten, K., Bakoglu, A. (2010b). Comparative study on some non-linear growth models for describing leaf growth of maize. International Journal of Agriculture Biology, 12: 227–230.

  18. Mustears, H.J.W. (1989). A dynamic equation for plant interaction and application to yield-density-time relations. Annals of Botany, 64: 521-531.

  19. Saglamtimur, T., Tansi, V., Baytekin, H. (1998). Cultivation of forage crops. Cukurova University Agriculture Faculty Lesson Book : C-74.

  20. Soya, H., Avcioglu, R., Geren, H. (2004). Forage Crops. Hasad Yayincilik Ltd. Sti., Istanbul, p223.

  21. Tezel, M., Karadavut, U., Palta, C., Aksoyak, S. (2005). Control of jointed goatgrass (Aegilops cylindirica Host.) with herbicide and determination of effecting onwheat plants. Journal of Crop Research, 2: 11–14.

  22. Vavilov, N.I. (1949). Theorijin, variation, immunity and breeding of cultivated plants. Choronica Botanica, 13: 32-35.

  23. Winsor, C.P. (1932). The Gompertz curve as a growth curve. Proc. National Academy of Science. Vol. 18: No.1.

  24. Zahedi, M., Jenner, C.F. (2003). Analysis of effects in wheat of high temperature on grain filling attributes estimated from mathematical models of grain filling. Journal of Agric. Sci., 141: 203-212.

  25. Zur, B., Jones, J.W., Boote, K.J. (1983). Field evaluation of a water relation model for soybean. I. Validation of some basic assumptions. Agronomy Journal, 75: 272-280.

     
Reviewed By

Download Article
In this Article
    Contact us
    Follow us

    Editorial Board

    View all (0)