Postharvest monitoring and consumer choice on traditional and modern apricot cultivars

[1]  Zhihong Gao,et al.  Mutations in PmUFGT3 contribute to color variation of fruit skin in Japanese apricot (Prunus mume Sieb. et Zucc.) , 2022, BMC Plant Biology.

[2]  N. Magazin,et al.  Effects of ripening stage and postharvest treatment on apricot ( Prunus armeniaca L.) cv. NS4 delivered to the consumers , 2022, Journal of Food Processing and Preservation.

[3]  B. Basile,et al.  Diversity and Relationships among Neglected Apricot (Prunus armeniaca L.) Landraces Using Morphological Traits and SSR Markers: Implications for Agro-Biodiversity Conservation , 2021, Plants.

[4]  M. Neffa,et al.  Assessment of Nutritional, Technological, and Commercial Apricot Quality Criteria of the Moroccan Cultivar “Maoui” Compared to Introduced Spanish Cultivars “Canino” and “Delpatriarca” towards Suitable Valorization , 2021 .

[5]  M. Benichou,et al.  Relationships between Biochemical Criteria, Volatile Compounds, and Sensory Profiles of Ten Apricot Clones at Commercial and Consumption Ripening Stages , 2020 .

[6]  D. Ruiz,et al.  Analysis of Metabolites and Gene Expression Changes Relative to Apricot (Prunus armeniaca L.) Fruit Quality During Development and Ripening , 2020, Frontiers in Plant Science.

[7]  F. Artés-Hernández,et al.  Postharvest quality retention of apricots by using a novel sepiolite–loaded potassium permanganate ethylene scavenger , 2020 .

[8]  C. Camps,et al.  A Multi-Parameter Approach for Apricot Texture Analysis , 2019, Agriculture.

[9]  Xiaomei Wang,et al.  Sugar and organic acid composition of apricot and their contribution to sensory quality and consumer satisfaction , 2017 .

[10]  G. Caldarelli,et al.  The network of plants volatile organic compounds , 2017, Scientific Reports.

[11]  E. Marone,et al.  Nashi or Williams pear fruits? Use of volatile organic compounds, physicochemical parameters, and sensory evaluation to understand the consumer’s preference , 2017, European Food Research and Technology.

[12]  S. Bureau,et al.  Towards the Use of Biochemical Indicators in the Raw Fruit for Improved Texture of Pasteurized Apricots , 2017, Food and Bioprocess Technology.

[13]  Wanpeng Xi,et al.  Profiling Taste and Aroma Compound Metabolism during Apricot Fruit Development and Ripening , 2016, International journal of molecular sciences.

[14]  P. Monks,et al.  Metabolite profiling of the ripening of Mangoes Mangifera indica L. cv. ‘Tommy Atkins’ by real-time measurement of volatile organic compounds , 2016, Metabolomics.

[15]  D. Christen,et al.  Quality management in the apricot supply chain. , 2015 .

[16]  Paolo Menesatti,et al.  Use of volatile organic compounds and physicochemical parameters for monitoring the post-harvest ripening of imported tropical fruits , 2015, European Food Research and Technology.

[17]  J. Stanley,et al.  PREHARVEST FACTORS AFFECT APRICOT FRUIT QUALITY , 2014 .

[18]  L. Castellari,et al.  Fruit quality evaluation of diverse apricot cultivars , 2013 .

[19]  Jun Tao,et al.  Advances in Fruit Aroma Volatile Research , 2013, Molecules.

[20]  A. Sümbül,et al.  Fruit Quality and Phytochemical Attributes of Some Apricot (Prunus armeniaca L.) Cultivars as Affected by Genotypes and Seasons , 2012 .

[21]  R. Viti,et al.  Genotype, Harvest Season, and Cold Storage Influence on Fruit Quality and Antioxidant Properties of Apricot , 2012 .

[22]  Fionn Murtagh,et al.  Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? , 2011, Journal of Classification.

[23]  J. Giovannoni,et al.  Genetics and control of tomato fruit ripening and quality attributes. , 2011, Annual review of genetics.

[24]  R. Lo Bianco,et al.  Fruit physical, chemical and aromatic attributes of early, intermediate and late apricot cultivars. , 2010, Journal of the science of food and agriculture.

[25]  Reinaldo Campos-Vargas,et al.  Differential expression levels of aroma-related genes during ripening of apricot (Prunus armeniaca L.). , 2009, Plant physiology and biochemistry : PPB.

[26]  D. Potter,et al.  Invasive Japanese beetles facilitate aggregation and injury by a native scarab pest of ripening fruits , 2009, Proceedings of the National Academy of Sciences.

[27]  G. Echeverría,et al.  Physicochemical measurements in ‘Mondial Gala®’ apples stored at different atmospheres: Influence on consumer acceptability , 2008 .

[28]  Adel A. Kader,et al.  Flavor quality of fruits and vegetables , 2008 .

[29]  R. Infante,et al.  Effect of harvest maturity stage on the sensory quality of ‘Palsteyn’ apricot (Prunus armeniaca L.) after cold storage , 2008 .

[30]  P. Schieberle,et al.  Characterization of the key aroma compounds in apricots (Prunus armeniaca) by application of the molecular sensory science concept. , 2007, Journal of agricultural and food chemistry.

[31]  D. Aros,et al.  Sensorial post-harvest quality evolution in apricot (Prunus armeniaca L.) cultivars 'Palsteyn' and 'Grandir' , 2006 .

[32]  S. Bureau,et al.  Aroma characterization of various apricot varieties using headspace–solid phase microextraction combined with gas chromatography–mass spectrometry and gas chromatography–olfactometry , 2006 .

[33]  R. Botta,et al.  CHEMICAL, PHYSICAL AND SENSORY ANALYSIS FOR EVALUATING QUALITY OF APRICOT CULTIVARS , 2006 .

[34]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[35]  E. Mitcham,et al.  Effects of acetaldehyde on fruit quality and target pest mortality for harvested strawberries , 2003 .

[36]  R. Amadó,et al.  Development of a model for quality assessment of tomatoes and apricots , 2003 .

[37]  M. Friendly.  Corrgrams , 2002 .

[38]  P. Martínez-Gómez,et al.  Behaviour of apricot (Prunus armeniaca L.) cultivars in the presence of sharka (plum pox potyvirus): a review , 2000 .

[39]  D. J. Murdoch,et al.  A Graphical Display of Large Correlation Matrices , 1996 .

[40]  M. Kendall,et al.  Kendall's advanced theory of statistics , 1995 .

[41]  A. W. Kemp,et al.  Kendall's Advanced Theory of Statistics. , 1994 .

[42]  H. Akaike.  A new look at the statistical model identification , 1974 .

[43]  J. H. Ward.  Hierarchical Grouping to Optimize an Objective Function , 1963 .

[44]  H. B. Mann.  Nonparametric Tests Against Trend , 1945 .

[45]  M. Kendall.  A NEW MEASURE OF RANK CORRELATION , 1938 .

[46]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[47]  T. Mahmood,et al.  Effect of Different Concentrations of Salicylic Acid on Keeping Quality of Apricot cv. Habi at Ambient Storage , 2013 .

[48]  Stefano Predieri,et al.  Apricot (Prunus armeniaca L.) quality and breeding perspectives , 2009 .

[49]  R. Porat,et al.  Production of off-flavours in fruit and vegetables under fermentative conditions. , 2008 .

[50]  Werner Lindinger,et al.  Proton-transfer-reaction mass spectrometry (PTR–MS): on-line monitoring of volatile organic compounds at pptv levels , 1998 .

[51]  C. Watkins,et al.  Firmness and concentrations of acetaldehyde, ethyl acetate and ethanol in strawberries stored in controlled and modified atmospheres , 1995 .

[52]  Kenneth Helrick,et al.  Official methods of analysis , 1990 .

[53]  C. Quensel.  The distribution of the partial correlation coefficient in samples from multivariate universesin a special case of non-normally distributed random variables , 1953 .

[54]  M. Kendall.  Statistical Methods for Research Workers , 1937, Nature.