Dynamic force effects on germination characteristics and weight vigoure index of three chickpea cultivars (Cicer ariegtinum L.) seed by using image processing

Soltani Kazemi, M.; Abdanan Mehdizadeh, S.; Gharineh, M.H.

doi:10.22034/ijsst.2017.113644

Document Type : Original Article

Authors

¹ Graduate Student/ Department of Mechanics of Biosystems Enineering, Faculty of Agricultural and Rural Development, Ramin Agriculture and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Khuzestan, Iran.

² Assistant Professor/Department of Mechanics of Biosystems Enineering, Faculty of Agricultural and Rural Development, Ramin Agriculture and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Khuzestan ,Iran.

³ Associate Professor/ Department of Agronomy, Faculty of Agriculturel, Ramin Agriculture and Natural Resources University of Khuzestan, Mollasani, Ahvaz, Khuzestan, Iran.

https://doi.org/10.22034/ijsst.2017.113644

Abstract

The aim of this researchwas to investigate the possibility of using image processing to determine the quality of seed germination after applying dynamic loads. For this purpose, mechanical damage at four levels (0.0404, 0.0808, 0.1212 and 0.1617) on three cultivars of chickpea seed (Azad, Hashem and ILC) were investigated. The study was conducted based on a completely randomized factorial design. The results showed that the ILC had the lowest electrical conductivity (12.02), the highest germination rate (10.31), the highest seedling growth (18.69), the most vigor (84.2), the maximum radicle length (13.29), radicle dry weight (0.574), hypocotyle dry weight (0.271) and the highest seedling dry weight (0.844) among other cultivars. Mean comparison of energy treatment showed that with inceasing energy level, germination quality and vigor were reduced. Then, length and area of radicle were evaluated using image processing. Based on statistical analysis, there was no significant difference between image processing and manual measurments. This shows the potential of replacement of time-consuming manual with image processing method for examination of seedling parameters

Keywords

References

Agricultural Statistics. 2014. Ministry of Agriculture, Deputy Director of Planning and Economic, Center for Technology and Communications (In Persian).

AOSA. 2002. Association of official seed analysis. Seed vigor testing handbook. Las Cruces (NM). Contribution No. 32.

Barker, D.A., T.A. Vouri, M.R. Hegedus, and D.G. Myers. 1992. The use of ray parameters for the discrimination of Australian wheat varieties. Plant Var. Seeds. 5: 35-45.

Basra, S. M. A., N. Ahmad, M. M. Khan, N. Iqbal, and M. A. Cheema. 2003. Assessment of cotton seed deterioration during accelerated ageing. Seed Sci. Technol. 31: 531-540.

Bern, C.J., and L.F. Charity. 1975. Air flow resistance characteristics of corn as influenced by bulk density. ASAE Paper No. 75-3510, St. Joseph, MI.

Cakmak, Y.S., and I.H. Boyaci. 2011. Quality evaluation of chickpeas using an artificial neural network integrated computer vision system. Int. J.Food Sci. Technol. 46: 194-200.

Du C. J. Sun, and D. W. 2004. Recent developments in the applications of image processing techniques for food quality evaluation. Trends Food Sci. Tech. 15: 230-249.

Elias, S.G., and L.O. Copeland. 1994. The effect of storage conditions on canola seed quality. Seed Technol. 18(1): 21-29.

Farahani, L. 2012. Discrimination of some cultivars of durum wheat (Triticum durum Desf.) using image analysis. Intl. Res. J. Appl. Basic Sci. 3 (7). 1375-1380.

Foutz, T. L., S. A. Thompsonand and M. D. Evans. 1993. Comparison loading response of packed grain and individual kernels. Trans. ASAE. 36(2): 569-576.

Fu, L., H. Okamoto, T. Kataoka, and Y. Shibata. 2011. Colour based classification for berries of Japanese blue honeysuckle. Int. J. Food Eng. 7: 1-12.

Gholami, A., S. Shahsavani, and S. Nezarat. 2009. The effect of plant growth promoting rhizobacteria (PGPR) on germination, seedling growth and yield of maize. Int. J. Biol. Life Sci. 1(1): 35-40.

Gonzalez, R. C., R. E. Woods, and S. L. Eddins. 2009. Digital Image Processing Using MATLAB.

Hampton, J.G., and D.M. TeKroyn. 1995. Handbook of vigor test methods. 3^rd ed. International Seed Testing Association, Zurich, Switzerland.

Helm Lamber, V. 2007. Seed technology. Translation: Hejaz. Tehran University Press.

Hopf, M., and D. Zohary. 2001. Domestication of Plants in the Old World: The Origin and Spread of Cultivated Plants in West Asia, Europe, and the Nile Valley. Oxford University Press.

Hosseini, F. 2008. The effect of burnout on seed germination, establishment and functioning of five rapeseed cultivars in climatic conditions. Payan a graduate of Ahwaz, Ahwaz University of Agriculture and Natural Resources.

ISTA. 2004. International rules for seed testing. The International Seed Testing Association (ISTA), Zurich, Switzerland.

Jayas, D.S., J. Paliwal, and N.S. Visen. 2000. Multi-layer neural networks for image analysis of agricultural products. J. Agric. Eng. Res. 77: 119-128.

Mahmoudi, M., J. Khazaei, K. Vahdati, and M. Taleb. 2010. Walnut Genotype Detection Using Machine Vision Technique, the 5^th National Congress of Agricultural Machinery and Mechanization, Mashhad (In Persian).

Mosavi, N. M., H. Gholami, G. Kord Firouzjae, M. Sadeghi, and Sedighi, E. 2011. Free fatty acid and electrical conductivity changes in cotton seed (Gossypium hirsutum) under seed deterioration conditions. Int. J. Agric. Sci. 12: 62-66.

Myers, D.G., and K.J. Edsall. 1989. The application of image processing techniques to the identification of Australian wheat varietie. Plant Var. Seeds. 2: 109-116.

Novaro, P., F. Colucci, G. Venora, and M.G. D’Egidio. 2001. Image Analysis of Whole Grains: A Noninvasive Method to Predict Semolina Yield in Durum Wheat. Cereal Chem. 78(3): 217-221.

Pace, B., M. Cefola, F. Renna, and G. Attolico. 2013. Relationship between visual appearance and browning as evaluated by image analysis and chemical traits in fresh-cut nectarines. Postharvest Biol. Technol. 61: 178-183.

Parde, S. R., R. T. Kausal, D. S. Jayas, and N. D. White. 1998. Mechanical damage to soybean seed during processing. In 2001 ASAE Annual Meeting (p. 1). Am. Soc. Agric. Biol. Engineers.

Por Azarang, H. 2002. Unit Operation in Agricultural Material Processing. 1^s edn. Ferdowsi University of Mashhad, Publication, Mashhad, Iran.

Salehian, K.H. 1995. Effects of seed emergence, growth and grain yield. Master's thesis University of Tabriz.

Savakar, D.G. and B.S. Anami. 2009. Recognition and classification of food grains, fruits and flowers using machine vision. Int. J. Food Eng. 5 (4): 1-25.

Vanpijlen, J. G., H .L. Karaak, R. J. Bino, and C. H. R. Devos. 1995. Effects of ageing and osmopriming on germination characteristics and chromosome aberrations of tomato (Lycopersicon esculentum Mill) seeds. Seed Sci. Technol. 23: 823- 830.

Verma, S. S., U. Verma, and R. P. S. Tomer. 2003. Studies on seed quality parameters in deterioration seeds in Brassica (Brassica campestris). Seed Sci. Technol. 31: 389-398.

Williams, L., and T.E. Martinson. 2003. Nondestructive leaf area estimation of ‘Niagara’ and ‘DeChaunac’ grapevines. Sci. Hortic. 98: 493-498.

Iranian Journal of Seed Science and Technology

Dynamic force effects on germination characteristics and weight vigoure index of three chickpea cultivars (Cicer ariegtinum L.) seed by using image processing

References

References

Volume 6, Issue 1 - Serial Number 11
June 2017
Pages 177-192

Dynamic force effects on germination characteristics and weight vigoure index of three chickpea cultivars (Cicer ariegtinum L.) seed by using image processing

References

References

Volume 6, Issue 1 - Serial Number 11June 2017Pages 177-192

Volume 6, Issue 1 - Serial Number 11
June 2017
Pages 177-192