2017
DOI: 10.5530/ijper.51.3s.39
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Correlation of Predictor Variables to Squalene Content in Olive Fruits Using Multivariate Statistical Analysis

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 sample… Show more

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Cited by 2 publications
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“…In this regard, analyzing the ‘Kilis Yaglik’ cultivar, with similar age trees, Certinkaya et al . showed that soil characteristics, namely total salt content, pH, organic matter, phosphorus, and potassium influenced the SQ content of the oil . Further studies are required to support this contribution and to substantiate the influence of all potential components.…”
Section: Variability Of Sq Content In Olive Oilsmentioning
confidence: 98%
“…In this regard, analyzing the ‘Kilis Yaglik’ cultivar, with similar age trees, Certinkaya et al . showed that soil characteristics, namely total salt content, pH, organic matter, phosphorus, and potassium influenced the SQ content of the oil . Further studies are required to support this contribution and to substantiate the influence of all potential components.…”
Section: Variability Of Sq Content In Olive Oilsmentioning
confidence: 98%