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Molecular and Biochemical Characterization of the Greek Pepper (Capsicum annuum) Cultivars ‘Florinis’ and ‘Karatzova’
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Institute of Applied Biosciences, Center for Research and Technology Hellas, 6th Km Charilaou Thermi Road, 57001 Thermi, Greece
Department of Food Science and Nutrition, University of the Aegean, Myrina, 81400 Lemnos, Greece
Submission date: 2020-12-30
Final revision date: 2021-02-22
Acceptance date: 2021-02-25
Online publication date: 2021-03-11
Publication date: 2021-03-11
Corresponding author
Anagnostis Argiriou   

Department of Food Science and Nutrition, University of the Aegean, Myrina, 81400 Lemnos, Greece
Pol. J. Food Nutr. Sci. 2021;71(1):89-96
Peppers are the fourth most important vegetable in the global food economy. Greek pepper cultivars ‘Florinis’ and ‘Karatzova’ are especially popular because of the signature red color and sweet taste of the fruits. The economic interest in ‘Florinis’ peppers has led to many adulteration events. In that aspect, genetic profiles of ‘Florinis’, a ‘Florinis’-type and ‘Karatzova’ peppers, were studied using Inter Simple Sequence Repeats (ISSR) molecular markers and an automated fragment detection system. Biochemical parameters, such as total dietary fiber, total phenolic and lycopene contents, and sugar profile that affect the fruit organoleptic and nutritional properties were evaluated. The molecular protocol established during this study may successfully discriminate the original ‘Florinis’ cultivar from the ‘Florinis’-type peppers. ‘Karatzova’ cultivar, which fruits are similar to ‘Florinis’, presented also a unique profile. The biochemical evaluation revealed that ‘Florinis’ peppers had the highest sweetness index and total phenolic content. Such an analysis could be used for the discrimination of pepper cultivars sharing common morphological traits ensuring the unique identity of each cultivar and protecting farmers and consumers from fraud.
PDO – protected designation of origin; ISSR – inter simple sequence repeats; RFU – relative fluorescence units; PCA – principal component analysis; PIC – polymorphic information content; MI – marker index; RP – resolving power; d.w. – dry weight.
This work was supported by THRIVING LAND project, financed by the Trans Adriatic Pipeline (Grant Agreement HOR.044609).
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