IJHAF | Regression and correlation studies of some morphological traits in Tunisian orange (Citrus sinensis L) cv. Maltese Ballerin

Indexing and Abstracting

Regression and correlation studies of some morphological traits in Tunisian orange (Citrus sinensis L) cv. Maltese Ballerin

Naziha El Bey , Mohamed Karim Aounallah , Ali Sahli

International Journal of Horticulture, Agriculture and Food science(IJHAF), Vol-4,Issue-6, November - December 2020, Pages 248-253, 10.22161/ijhaf.4.6.6

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Article Info: Received: 03 Nov 2020; Received in revised form: 03 Dec 2020; Accepted: 15 Dec 2020; Available online: 26 Dec 2020

Abstract:

Citrus sinensis (L.osbeck) or sweet orange is an important fruit crop originated from South East Asia which is cultivated widely in tropical, subtropical and Mediterranean regions. It is consumed all over the world as an excellent antioxidant. The main objective of the present work is to identify various relationships in shoots and leaves of Tunisian sweet orange (Citrus sinensis L.) cv Maltese Ballerin. Significant relationships were obtained between primary and secondary growth (length and diameter of spring shoots), between the elongation and organogenesis (length, leaf number, node number) and between elongation and leaf area. Several non-destructive methods are proposed to estimate the leaf area, which is closely related firstly to the rectangle constructed from the length and width of the leaf (R2=0.9) and secondly to the leaf area obtained by the method of supervised classification using Envi software (R2=0.96). A significant linear relationship between the dry weight of the leaf and its area is found (R2=0.74).

Keywords:

Citrus sinensis L., leaf area, shoot, growth, regression, correlation.

References:

[1] Bange MP, GL Hammer, SP Milroy and KG Rickert, 2000. Improving estimates of individual leaf area of sunflower. Agronomy Journal, 92: 761- 765.
[2] Barcellos De Souza, I., P. EÂ´ Lauri, and P. Blanc., 1986. Evolution de parametres morphologiques au cours du cycle de croissance de Callisia fragrans (Commelinaceae).Canadian Journal of Botany 64: 1664â€“1670.
[3] Baret, S., EÂ´ . Nicolini, T. Le Bourgeois, and D. Strasberg., 2003. Developmental patterns of the invasive bramble (Rubus alceifolius Poiret, Rosaceae) in ReÂ´union Island: an architectural and morphometric analysis. Annals of Botany 91: 1â€“10.
[4] Blom, P. E. et Tarara, J.M., 2007. Rapid and Nondestructive Estimation of Leaf area on Field grown Concord (Vitis labruscana) grapevines. Am. J. Enol. Vitic.58:3p.
[5] Bond, W., and J. Midgley., 1988. Allometry and sexual differences in leaf size. American Naturalist 131: 901â€“910.
[6] Brouat, C., M. Gibernau, L. Amsellem, and D. Mckey., 1998. Cornerâ€™s Rules Revisited: Ontogenetic And Interspecific Patterns In Leaf-Stem Allometry. New Phytologist 139: 459â€“470.
[7] Byrne, D. H., Nikolic, A. N., & Burns, E. E., 1991. Variability in sugars, acids, firmness, and color characteristics of 12 peach genotypes. Journal of the American Society for Horticultural Science, 116(6), 1004-1006.
[8] Chapot, H., 1963. Quelques oranges sanguines. Cah. Rech. Agron. Rabat 18, 61â€“87.
[9] Clayton, M.; Amos, N.D.; Banks, N.H.; Morton, R.H. Estimation of apple fruit surface area. New Zealand Journal of Crop and Horticultural Science, v.23, p.345-349, 1995.
[10] Corner. EJH., 1949. The durian theory of the origin of the modern tree. Annals of Botany 13:368-414.
[11] Costanza, P., Tisseyre, B., Hunter, J.J. and Deloire, A., 2004. Shoot Development anf NonDestructive determination of Grapevine (Vitis vinifera L.) Leaf Area. S. Afr. J. Enol. Vitic, Vol.25, No.2.
[12] Costes, E., D. Fournier, et J.C. Salles., 2000. Changes in primary and secondary growth as influence by crop load in Fantasme apricot trees. J. Hort. Sci & Biotech. 75(5): 510-519.
[13] Food and Agriculture Organization of the United Nations., 2020. http://www.fao.org/faostat/en/#home
[14] Hodgson, R.W., 1967. History, world distribution, botany and varieties. In: Reuther, W., Webber, H.J., Batchelor, L.D. (Eds.), The Citrus Industry, vol. I. University of California, Berkeley, CA, pp. 431â€“591.
[15] Humphries, E.G. and S.A.W. French. 1964. Determination of leaf area by rating in comparison with geometric shapes. Ann. Appl. Biol.54:281--284.
[16] Kozlowski TT. 1971. Growth and development of trees, Vol. 2. NewYork: Academic Press.
[17] Lauri, P. E., T Rouanne, and J. M. Lespinasse. 1996. Quantitative Analysis Of Relationships Between Inflorescence Size, Bearing-Axis Size and fruit-set: an apple tree case study. Annals of Botany 77: 277â€“286.
[18] Lauri, P. E., and C. Trottier. 2004. Patterns of size and fate relationships of contiguous organs in the apple (Malus domestica Borkh.) crown.New Phytologist 163: 533â€“546.
[19] Lopes, C.M.; Pinto, P.A., 2000. Estimation de la surface foliaire principale et secondaire dâ€™un sarment de vigne. Prog. Agric. Vitic. 117, 160-166.
[20] Mabrouk, H.; Carbonneau, A., 1996. Une mÃ©thode simple de dÃ©termination de la surface foliaire de la vigne ( Vitis. Vinifera L). Prog.Agric. Vitic. 113, 192-398.
[21] Manivel, L. and R.J. Weaver. 1974. Biometrics correlations between leaf area and length measurements of â€˜Grenacheâ€™ grape leaves. HortScience 9:27â€“28.
[22] Marshall, J.K., 1968. Methods for leaf area measurement of large and small leaf samples. Photosynthetica 2:41â€“47.
[23] Mazzini, R.B., Vasconcelos, R.R., Mary.P.R., 2010. A simple and non-destructive model for individual leaf area estimation in citrus. Cambridge University Press. . Vol 65. pp 269-275.
[24] Mezghani, M., 2009. ThÃ¨se de Doctorat. DÃ©terminisme de la diversitÃ© caulinaire et radiculaire chez lâ€™olivier (Olea europea L.) et modÃ©lisation de la croissance. Approche morphogÃ©nÃ©tique. Institut National Agronomique de Tunisie. 324p.
[25] Montgomery, EG., 1911 correlation studies in corn. Agricultural Experiment station of Nebrasca 108-159.
[26] Nicolosi, E., Deng, Z. N., Gentile, A., La Malfa, S., Continella, G., Tribulato, E., 2000. Citrus phylogeny and genetic origin of important species as investigated by molecular markers. Theoretical and Applied Genetics, 100(8), 1155-1166.
[27] Ortega S., Fuentes S., Retamales J.B., 1998. Models for predicting fruit diameter of Packhamâ€™s Triumph Pears. ACTA HORT. 475: 295-302.
[28] Ramkhelawan, E., R.A.I. Brathwaite., 1990. Leaf area estimation by non-destructive methods in sour orange (Citrus aurantium L.)Trop. Agric. 67:203--206.
[29] Schultz, H.R. 1995. Grape canopy structure, light microclimate and photosynthesis. 1. A two-dimensional model of the spatial distribution of surface area densities and leaf ages in two canopy systems. Vitis, v.34, p.211-215.
[30] Serdar Ãœ, Demirsoy H., 2006. Non-destructive leaf area estimation in chestnut. Sci. Hortic. 108(2): 227-230.
[31] Spann, T.M., Heerema, R.J. 2010. A simple method for nondestructive estimation of total shoot leaf area in tree fruit crops. Scient Horticult. 125: 528-533.
[32] Swingle, W. T., 1943. The botany of Citrus and its wild relatives in the orange subfamily. The citrus industry, 1, 128-474.
[33] Tregoat, O., Ollat, N., Grenier, G., Van Lauuwmen, C., 2001. Survey of the accuracy and rapidity of several methods for vine leaf area assessment. J. Int. Sci. Vigne Vin, 35. 31-39 pp.
[34] Wargo, P. 1978. Correlations of leaf area with length and width measurements of leaves of black oak, white oak and sugar maple. USDA For. Serv. Res. Note NE-256, 3 p.
[35] Weiner, J., Thomas, S. C., 1992. Competition and allometry in three species of annual plants. Ecology, 73(2), 648-656.