MATHEMATICAL MODEL FOR MEASUREMENT OF LEAF AREA IN POMEGRANATE (Punica granatum L)

D.T. MESHRAM¹*, RAM CHANDRA², S.R. LAD³, S.S. WADANE^4
1ICAR-National Research Centre on Pomegranate, NH- 65, Bypass Road, Kegaon, Solapur 413 255, India
²ICAR-National Research Centre on Pomegranate, NH- 65, Bypass Road, Kegaon, Solapur 413 255, India
³ICAR-National Research Centre on Pomegranate, NH- 65, Bypass Road, Kegaon, Solapur 413 255, India
⁴ICAR-National Research Centre on Pomegranate, NH- 65, Bypass Road, Kegaon, Solapur 413 255, India
* Corresponding Author : gomesh1970@rediffmail.com

Received : 11-07-2018     Accepted : 25-07-2018     Published : 30-07-2018
Volume : 10     Issue : 14       Pages : 6669 - 6671
Int J Agr Sci 10.14 (2018):6669-6671

Keywords : Non-destructive method, pomegranate genotypes, regression model
Conflict of Interest : None declared
Acknowledgements/Funding : Author thankful to ICAR-National Research Centre on Pomegranate, NH- 65, Bypass Road, Kegaon, Solapur 413 255, India
Author Contribution : All author equally contributed

In this paper, a model for predicting the leaf area has been developed for pomegranate (Punica granatum L) using 44 genotypes. Multiple regression analysis for the pomegranate leaf area was performed. The proposed leaf area (LA) prediction model is: LA = -0.00682 + 0.152 x L + 0.235 x W + 0.6209 x L x W; R2 = 0.95, where LA is leaf area, W is leaf width and L is leaf length. The model was validated by measuring leaf samples of pomegranate genotypes. The developed model can be estimated pomegranate leaf area without the use of expensive instruments and destructing the leaves of tree.

1. Kulkarni A.P. and Aradhya S.M. (2005) Food Chemistry, 93, 319-324.
2. Levin G.M. (2006) ‘Pomegranate.’(Third Millennium Publishing, East Libra Drive Tempe, AZ).
3. Pal R.K., Dhinesh Babu., Singh N.V., Ashis Maity. And Gaikwad N. (2014) Progressive Horticulture, 46(2), 184-201.
4. Chandra R., Jadhav V.T. and Sharma J. (2010) Fruit, vegetable and cereal science and Biotechnology, 4 (2), 7-18.
5. Pandey S.K. and Singh H. (2011) Journal of Botany, 1, 6.
6. Albrecht M.W., Jiang J., Kumi-diaka., Lansky E.P., Gommersall L.L., Patel A., Mansel R.E., Geldof A.A. and Campbell M.J. (2004) Journal of Medicinal Food, 7, 274-283.
7. Lansky E.P. and Newman R.A. (2007) Journal of Ethnopharmacology, 109, 177-206.
8. Hamdi Z., Muharrem O., Sezgin U. and Cuneyt C. (2006) Research Journal of Botany, 1, 46-51.
9. Lopes C., and Pinto P, A., (2005) VITIS-Journal Grapevine Research, 44(2),55-61.
10. Beslic Z., Todic S. and Tesic D. (2010) South African Journal of Enology and Viticulture, 31(1), 22-25.
11. Jalikop S.H. (2007) Euphytica, 158, 201- 207.
12. Corcoles J.I., Dominguez, A. Moreno, M.A., Ortega, J.F. and de Juan, J.A. (2015) Irish Journal of Agricultural and Food Research, 54(1), 17-30.
13. Cittadini E.D. and Peri P.L.(2006) Revista de Investigationes Agropecuaria (Argentina), 35, 143-150.
14. Serdar U. and Demirsoy H. (2006) Scientia Horticulturae, 108, 227-230.
15. Demirsoy H., Demirsoy L., Uzun S. and Ersoy B. (2004) European Journal of Horticulture Science, 69, 144-146.
16. Gil M.I., Tomas-Barberan F.A., Hess-Pierce B., Holcroft D.M. and Kader A.A. (2000) Journal of Agricultural and Food Chemistry, 48, 4581-4589.
17. Ghoreishi M., Hossini Y. and Maftoon M. (2012) Journal of Biology and Earth Science, 2 (2), B45-B53.
18. Meshram D.T., Gorantiwar S.D., Singh N.V. and Suroshe S.S. (2012) Indian Journal of Horticulture, 69 (2), 163-167.
19. Opara L.U., Al-Ani M.R. and Al-Shuaibi Y.S. (2009) Food Bioprocess Technology, 2, 315-321.
20. Williams L. and Martinson T. E. (2003) Scientia Horticulturae, 98, 493-498.
21. Alexandre D.D., Mauricio Antonio C.F., Amabili Gunes V.P., Abelmon da S.G., Walter dos Santos S.S., Marilene F. (2017) African Journal of Agricultural Research, 12(2), 125-132.
22. Jun W. and Yicheng L. (2013) Mathematical modelling and analysis, 18(2),236-249.
23. Mendoza-de G.E., Rouphael Y., Cristofori V. and Mira F.R. (2007) Fruits, 62, 171-176.