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Published on:July 2017
Indian Journal of Pharmaceutical Education and Research, 2017; 51(3s):s323-s326
Original Article | doi:10.5530/ijper.51.3s.39

Correlation of Predictor Variables to Squalene Content in Olive Fruits Using Multivariate Statistical Analysis


Authors and affiliation (s):

Hakan Cetinkaya1*

1Department of Horticulture, Faculty of Agriculture, Kilis 7 Aralık University, 79000, Kilis, TURKEY

Abstract:

The present study was designed to examine the correlation of some predictor variables including pH, organic matter (OM), lime (L), phosphorus (P), potassium (K) and total salt (TS) content of soils of olive orchards to squalene content of olive fruits. Multiple linear regression analysis was used to model the relationship between explanatory variables (pH, OM, L, P, K and TS) and responses variable (squalene content) by fitting a linear equation to observed data. The olive fruits (Kilis Yaglik cv.) were sampled from tendifferent locations. The soil characteristics of the sampling sites were determined. Oil extraction was carried out in similar industrial extraction conditions using an oleodosor system. Accordingly, pH (p=0.596), OM (p=0.359), L (p=0.490), P (p=0.127), K (p=0.265) and TS (p=0.572) were not individually statistical significant but their interaction was significant (p=0.006). Standardizing the olive oil quality is not easy at all due to complex and variable environmental conditions. Along with the results herein, the factors themselves were not significant but their complex interaction was significant.

Key words: Squalene, Olive oil, Soil characteristics, Kilis Yaglik cv., Multivariate statistical analysis.

 




 

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The Official Journal of Association of Pharmaceutical Teachers of India (APTI)
(Registered under Registration of Societies Act XXI of 1860 No. 122 of 1966-1967, Lucknow)

Indian Journal of Pharmaceutical Education and Research (IJPER) [ISSN-0019-5464] is the official journal of Association of Pharmaceutical Teachers of India (APTI) and is being published since 1967.

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