Determination of shape in fruits of cherry laurel (Prunus laurocerasus) accessions by using elliptic Fourier analysis

• Autorzy: Sayinci B. , Ercisli S. , Akbulut M. , Savsatli Y. , Baykal H.

Warianty tytułu

PL

Ustalenie kształtu owoców laurowiśni wschodniej (Prunus laurocerasus) przy użyciu analizy eliptycznej Fouriera

• Języki publikacji: EN

Abstrakty

EN

Cherry laurel (Prunus laurocerasus) is an important wild edible fruits naturally grown in black sea region in Turkey. Shape attributes of twenty-one cherry laurel accessions were determined both descriptively and based on elliptic Fourier analysis first time in the literature. In the semantic evaluation, shape of most of the accessions was near to sphere. But, the results of the descriptive data showed that the accessions had different size, shape and gravimetric attributes. The accessions such as 30023, 30024 and 30027 had the highest means as to the gravimetric and size attributes, while the means of the 20043, 30028 and 30030 accessions were found to be the lowest. The sphericity data of 30019, 30028, 30030 and 30033 accessions had the highest means ranged between 96.2 and 97.8%. The cluster test divided the accessions to five subclasses. The genotypes in the 5th cluster had the highest gravimetric and size attributes than the other accessions. While the accessions in the 1st cluster were the highest sphericity mean, they had the lowest gravimetric and size attributes.

PL

Laurowiśnia wschodnia (Prunus laurocerasus) jest ważną dziką rośliną o jadalnych owocach rosnącą w rejonie Morza Czarnego w Turcji. Określono cechy kształtu dwudziestu dwóch jej odmian, zarówno w sposób opisowy, jak i – po raz pierwszy w literaturze – w oparciu o eliptyczna analizę Fouriera. W ocenie semantycznej kształt większości był zbliżony do kuli, jednak wyniki danych opisowych wykazały różnicę w rozmiarze, kształcie i cechach grawimetrycznych. Odmiany takie jak 30023, 30024 i 30027 miały najwieksze średnie wartości odnoszące się do cech rozmiaru i cech grawimetrycznych, natomiast średnie odmian 20043, 30028 i 30030 były najmiejsze. Dane dotyczące kulistości odmian 30019, 30028, 30030 i 30033 wskazywały na największe średnie mieszczące się w przedziale między 96,2 a 97,8%. Test skupisk podzielił odmiany na pięć podklas. Genotypy w piątym skupisku miały większe wartości cech grawimetrycznych i cech dotyczących kształtu niż pozostałe. Odmiany w pierwszym skupisku miały największą średnią sferyczności, ale najmiejsze wartości cech grawimetrycznych i cech dotyczących kształtu.

Słowa kluczowe

EN

shape; size; determination; fruit; cherry laurel; Prunus laurocerasus; elliptic Fourier analysis

• Wydawca: -
• Czasopismo: Acta Scientiarum Polonorum. Hortorum Cultus
• Rocznik: 2015
• Tom: 14
• Numer: 1
• Opis fizyczny: p.63-82,fig.,ref.

Twórcy

autor

Sayinci B.

• Department of Agricultural Machinery and Technologies Engineering, Ataturk University, Erzurum, Turkey

autor

Ercisli S.

• Department of Agricultural Machinery and Technologies Engineering, Ataturk University, Erzurum, Turkey

autor

Akbulut M.

• Recep Tayyip Erdogan University, Rize, Turkey

autor

Savsatli Y.

• Recep Tayyip Erdogan University, Rize, Turkey

autor

Baykal H.

• Recep Tayyip Erdogan University, Rize, Turkey

Bibliografia

• Ahmadi, H., Fathollahzadeh, H., Mobli, H. (2008). Some physical and mechanical properties of apricot fruits, pits and kernels (c.v Tabarzeh). Am.-Euras. J. Agric. Environ. Sci., 3, 703–707.
• Akbulut, M., Macit, I., Ercisli, S., Koc, A. (2007). Evaluation of 28 cherry laurel (Laurocerasus officinalis) genotypes in the Black Sea region, Turkey. New Zeal. J. Crop Hort., 35, 463–465.
• Antonucci, F., Costa, C., Pallottino, F., Paglia, G., Rimatori, V., De Giorgio, D., Menesatti, P. (2012). Quantitative method for shape description of almond cultivars (Prunus amygdalus Batsch). Food Bioprocess. Tech., 58, 768–785.
• Beyer, M., Hahn, R., Peschel, S., Harz, M., Knoche, B. (2002). Analyzing fruit shape in sweet cherry (Prunus avium L.). Sci. Hortic., 96, 139–150.
• Beyhan, O. (2010). A study on selection of promosing native cherry laurel (Prunus laurocerasus L.) genotypes from Sakarya, Turkey. J. Anim. Plant Sci., 20, 231–233.
• Boydas, M.G., Sayinci, B., Gozlekci, S., Ozturk, I., Ercisli, S. (2012). Basic physical properties of fruits in loquat (Eriobotrya japonica (Thunb. Lindl.) cultivars and genotypes determined by both classical method and digital image processing. Afr. J. Agric. Res, 7, 4171–4181.
• Brewer, M.T., Moyseenko, J.B., Monforte, A.J., Van Der Knaap, E. (2007). Morphological variation in tomato: a comprehensive study of quantitative trait loci controlling fruit shape and development. J. Exp. Bot., 58, 1339–1349.
• Cannon, C.H., Manos, P.S. (2001). Combining and comparing morphometric shape descriptors with a molecular phylogeny: the case of fruit type evolution in Bornean lithocarpus (Fagaceae). Syst. Biol., 50, 860–880.
• Çalisir, S., Aydin, C. (2004). Some physico-mechanic properties of cherry laurel (Prunus laurocerasus L.) fruits. J. Food Eng., 65, 145–150.
• Celik, F., Ercisli, S., Yilmaz, S.O., Hegedus, A. (2011). Estimation of certain physical and chemical fruit characteristics of various cherry laurel (Laurocerasus officinalis Roem.) genotypes. HortSci., 46, 924–927.
• Costa, C., Menesatti, P., Paglia, G., Pallottino, F., Aguzzi, J., Rimatori, V., Russo, G, Recupero, S., Recupero, G.R. (2009). Quantitative evaluation of Tarocco sweet orange fruit shape using optoelectronic Elliptic Fourier based analysis. Postharv. Biol. Tech., 54, 38–47.
• Costa, C., Menesatti, P., Aguzzi, J., D’andrea, S., Antonucci, F., Rimatori, V. (2010). External shape differences between sympatric populations of commercial clams Tapes decussatus and T. philippinarum. Food Bioproc. Tech., 3, 43–48.
• Costa, C., Antonucci, F., Pallottino, F., Aguzzi, J., Sun, D.W., Menesatti, P. (2011). Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision. Food Bioproc. Tech., 4, 673–692.
• Currie, A.J., Ganeshanandam, S., Noiton, D.A., Garrick, D., Shelbourne, C.J.A., Orgaguzie, N. (2000). Quantitative evaluation of apple (Malus domestica Borkh.) fruit shape by principal component analysis of Fourier descriptors. Euphytica, 111, 219–227.
• Ercisli, S. (2004). A short review of the fruit germplasm resources of Turkey. Genet. Res. Crop Evol., 51, 419–435.
• Ercisli, S., Sayinci, B., Kara, M., Yildiz, C., Ozturk, I. (2012). Determination of size and shape attributes of walnut (Juglans regia L.) cultivars using image processing. Sci. Hortic., 133, 47–55.
• Foster, J., Barkus, E., Yavorsky, C. (2006). Understanding and Using Advanced Statistics. Sage Publications, London, 178 pp.
• Ghazanfari, A., Irudayaraj, J., Kusalik, A., Romaniuk, M. (1997). Machine vision grading of pistachio nuts using fourier descriptors. J. Agric. Eng. Res., 68, 247–252.
• Halilova, H., Ercisli, S. (2010). Several physico-chemical characteristics of cherry laurel (Laurocerasus officinalis Roem) fruits. Biotechnol. Biotec. Eq., 24, 1970–1973.
• Hammer, Ø., Harper, D.A.T., Ryan, P.D. (2001). Past: Paleontological statistics software package for education and data analysis. Palaeontol. Electron, 4, 9. http://palaeo-electronica.org/ 2001_1/past/issue1_01.htm. IBM SPSS® STATISTICS (2010). SSS Inc., IBM Company©, Version 20.
• Iwata, H., Ukai, Y. (2002). Shape: A computer program package for quantitative evaluation of biological shapes based on Elliptic Fourier descriptors. J. Hered., 93, 384–385.
• Kalayci, S. (2006). SPSS UygulamalÕ çok de÷iúkenli istatistik teknikleri. Asil YayÕn, TR, 426 pp.
• Kalyoncu, ø.H., Ersoy, N., Elidemir, A.Y., Dolek, C. (2013). Mineral and some physico-chemical composition of ‘Karayemiú’ (Prunus laurocerasus L.) fruits grown in Northeast Turkey. Int. J. Biol. Vet. Agr. Food Eng., 7, 181–184.
• Kara, M., Sayinci, B., Elkoca, E., Ozturk, I., Ozmen, T.B. (2013). Seed size and shape analysis of registered common bean (Phaseolus vulgaris L.) cultivars in Turkey using digital photography. J. Agric. Sci., 19, 219–234.
• Kays, S.J. (1999). Preharvest factors affecting appearance. Postharv. Biol. Tech., 15, 233–247.
• Khanizadeh, S. (1994). Breeding strawberries for Eastern Central Canada. Euphytica, 77, 45–49.
• Kuhl, F.P., Giardina, C.R. (1982). Elliptic Fourier attributes of a closed contour. Comp. Vision Graph., 18, 236–258.
• Li, W., Li, O., Zhang, A., Li, L., Hao, J., Jin, J., Yin, S. (2014). Genotypic diversity of phenolic compounds and antioxidant capacity of Chinese dwarf cherry (Cerasus humilis (Bge.) Sok.) in China. Sci. Hortic., 175, 208–213.
• Liming, X., Yanchao, Z. (2010). Automated strawberry grading system based on image processing. Comp. Electron. Agric., 71, 32–39.
• Liyana-Pathirana, C.M., Shahidi, F., Alasalvar, C. (2006). Antioxidant activity of cherry laurel fruit (Laurocerasus officinalis Roem.) and its concentrated juice. Food Chem., 99, 121–128.
• McCabe, W.L, Smith, J.C., Harriot, P. (1986). Unit operations of chemical engineering. McGrawHill Book Co., New York, 1986.
• Menesatti, P., Costa, C., Paglia, G., Pallottino, F., D’andrea, S., Rimatori, V., Aguzzi, J. (2008). Shape-based methodology for multivariate discrimination among Italia hazelnut cultivars. Biosyst. Eng., 101, 417–424.
• Mohsenin, N.N. (1986). Physical properties of plant and animal materials. New York, Gordon and Breach Sci. Publ. Olajide, J.O., Ade-Omowaye, B.I.O. (1999). Some physical properties of locust bean seed. J. Agric. Eng. Res., 74, 213–215.
• Orhan, I.E., Akkol, E.K. (2011). Estimation of neuroprotective effects of Laurocerasus officinalis Roem. (Cherry laurel) by in vitro methods. Food Res. Int., 44, 818–822.
• Pallottino, F., Costa, C., Antonucci, F., Menesatti, P. (2013). Sweet cherry freshness evaluation through colorimetric and morphometric stem analysis: two refrigeration systems compared. Acta Aliment., 42, 428–436.
• Ruiz-Altisent, N., Ruiz-Garcia, L., Moreda, G.P., Lu, R., Hernandez-Sanchez, N., Correa E.C. (2010). Sensors for product characterization and quality of specialty crops – a review. Comp. Electron. Agric., 74, 176–194.
• Sayinci, B., Ercisli, S., Ozturk, I., Eryilmaz, Z., Demir, B. (2012). Determination of size and shape in the ‘Moro’ blood orange and ‘Valencia’ sweet orange cultivar and its mutants using image processing. Not. Bot. Hort. Agrobot., 40, 234–242.
• Yildiz, H., Ercisli, S., Narmanlioglu, H.K., Guclu, S., Akbulut, M., Turkoglu, Z. (2014). The main quality attributes of non-sprayed cherry laurel (Laurocerasus officinalis Roem.) genotypes. Genetika, 46, 129–136.