TY - JOUR
T1 - FTIR chemometrical approach for clonal assessment
T2 - selection of Olea europaea L. optimal phenotypes from cv. Cobrançosa
AU - Machado, Manuela
AU - Machado, Nelson
AU - Gouvinhas, Irene
AU - Domínguez-Perles, Raúl
AU - Barros, Ana I. R. N. A.
N1 - Funding Information:
This work was supported by the following: European Investment Funds by FEDER/COMPETE/POCI-Operational Competitiveness and Internationalization Programme, under project POCI-01-0145-FEDER-006958 and National Funds by FCT—Portuguese Foundation for Science and Technology, under the project UID/AGR/04033. N.F.L. Machado kindly acknowledges a postdoctoral research grant from the Center for the Research and Technology of Agro-Environmental and Biological Sciences, with the reference BI/CITAB/UTAD/QUI/2015. R. Domínguez-Perles was supported by a Postdoctoral contract from the Portuguese Foundation for Science and Technology within the framework of the National Scientific and Technologic System. I. Gouvinhas was supported by the Project PhD grant SFRH/BD/78013/2011 from the Fundação para a Ciência e Tecnologia of Portugal.
Publisher Copyright:
Copyright © 2017 John Wiley & Sons, Ltd.
PY - 2017/5
Y1 - 2017/5
N2 - Fourier transform infrared spectroscopy has been applied in tandem with multivariate statistical approaches, with the prospect of developing a methodology for the prediction of interesting traits in distinct clones of “Olea europaea L.” For this purpose, the infrared spectra of either the drupes or the corresponding olive oils of 6 distinct clones of the Cobrançosa cultivar, in 2 ripening stages (semi-ripe and ripe), have been registered resorting to an attenuated total reflection accessory. These clones were previously evaluated with respect to antioxidant activity and olive oil yield, while multivariate analyses, namely, partial least squares regression and discriminant analysis have been applied to the spectral data collected to obtain a prediction model for the assessment of these traits in distinct clones through the infrared spectra. This methodology leads to minimal erroneous classification rates in the validation procedure of 3.9% and 6.3% for olives and olive oils, respectively, using the first derivative of the spectra. Thus, the suitability of this methodology for the assessment of different clones has been shown with visible benefits for a time consuming and costly process such as clonal selection. Furthermore, this procedure might be extended for other cultivars or different species once proper calibration models are attained for each matrix.
AB - Fourier transform infrared spectroscopy has been applied in tandem with multivariate statistical approaches, with the prospect of developing a methodology for the prediction of interesting traits in distinct clones of “Olea europaea L.” For this purpose, the infrared spectra of either the drupes or the corresponding olive oils of 6 distinct clones of the Cobrançosa cultivar, in 2 ripening stages (semi-ripe and ripe), have been registered resorting to an attenuated total reflection accessory. These clones were previously evaluated with respect to antioxidant activity and olive oil yield, while multivariate analyses, namely, partial least squares regression and discriminant analysis have been applied to the spectral data collected to obtain a prediction model for the assessment of these traits in distinct clones through the infrared spectra. This methodology leads to minimal erroneous classification rates in the validation procedure of 3.9% and 6.3% for olives and olive oils, respectively, using the first derivative of the spectra. Thus, the suitability of this methodology for the assessment of different clones has been shown with visible benefits for a time consuming and costly process such as clonal selection. Furthermore, this procedure might be extended for other cultivars or different species once proper calibration models are attained for each matrix.
KW - Clonal selection
KW - FTIR
KW - Multivariate analysis
KW - Olea europaea L
UR - http://www.scopus.com/inward/record.url?scp=85012053618&partnerID=8YFLogxK
U2 - 10.1002/cem.2860
DO - 10.1002/cem.2860
M3 - Article
AN - SCOPUS:85012053618
SN - 0886-9383
VL - 31
JO - Journal of Chemometrics
JF - Journal of Chemometrics
IS - 5
M1 - e2860
ER -