Fruit Ripening and QTL for Fruit Quality in the Octoploid Strawberry

Development of biodegradable films using sunflower protein isolates and bacterial nanocellulose as innovative food packaging materials for fresh fruit preservation

“…In the case of strawberries sealed with SFMPI-NCC-based biofilm, total sugars increased after 1 day of storage (57.1% w/w, db) while they were gradually reduced at the end of storage. The major sugar in all ripening stages of strawberries has been reported to be glucose 54 while in the current study fructose was determined as the predominant one. Sucrose content decreased throughout storage, reaching values of 0.4%, 0.6%, 0.8% and 0.5% (w/w db) for PVC, SFMPI-, SFMPI-NCC-and SFMPI-BNC-sealed samples respectively.…”

“…Sucrose content decreased throughout storage, reaching values of 0.4%, 0.6%, 0.8% and 0.5% (w/w db) for PVC, SFMPI-, SFMPI-NCC-and SFMPI-BNC-sealed samples respectively. Lower levels of sucrose during storage are associated with the activity of invertase, which is higher in ripe fruits compared to green fruits, leading to sucrose reduction and simultaneous increase of glucose and fructose 54 . Glucose increased during the early stages of storage (1-3 days) in all the examined cases while glucose content was reduced thereafter (Fig.…”

ddRAD-seq derived genome-wide SNPs, high density linkage map and QTLs for fruit quality traits in strawberry (Fragaria x ananassa)

“…In these three studies, QTLs were identified based on AFLP, SSR and SCAR markers. The use of few common markers facilitated the comparison of the constructed linkage groups and identified that a number of QTLs were actually located on homeologous linkage groups, suggesting common genetic control of related traits in multiple backgrounds (Pott et al 2000 ). The QTLs of this study were, however, based on genome-wide SNP based markers, thus could not be directly compared with those previous reports.…”

“…However, the significant but low correlation co-efficient value between these two traits suggested the possibility of independent selection of each of the traits (Castro and Lewers 2016 ). Overall, identification of several QTLs for a particular trait, each explaining a small individual proportion of the total phenotypic variation indicates complex quantitative inheritance and multi-loci control of these traits (Lerceteau-Köhler et al 2012 ; Pott et al 2000 ; Paran and Knaap 2007 ).…”

“…Several QTLs for various agronomic, reproductive and fruit quality traits have already been identified using these populations (Lerceteau-Köhler et al 2012 ; Zorrilla-Fontanesi et al 2011 ; Lerceteau-Kohler et al 2006 ; Castro and Lewers 2016 ; Verma et al 2017 ). However, the need for high-density linkage maps and finer mapping of QTLs with markers saturating the whole genome were realized by several investigators (Zorrilla-Fontanesi et al 2011 ; Castro et al 2015 ; Pott et al 2000 ).…”