naa a22 4500 510725538 CHVBK 20180411082933.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1007/s11947-011-0720-6 doi (NATIONALLICENCE)springer-10.1007/s11947-011-0720-6 Prediction of Sensory Profile of Mango Using Textural Attributes During Ripening [Elektronische Daten] [Shyam Jha, Pranita Jaiswal, K. Narsaiah, Ashish Singh, Poonam Kaur, R. Sharma, R. Kumar, Rishi Bhardwaj] Mango is an important commercial fruit and is marketed based on their colour, firmness and taste. These sensory parameters vary with individual mango and person involved in testing. There is little or no information available on the instrumental estimation of these sensory attributes. The present study, therefore, was conducted to correlate sensory and instrumental textural attributes to explore the possibility of predicting them for seven major cultivars of mango influenced by harvesting dates and ripening period (10days). In general, the textural property of peel, pulp and fruit decreased while sensory attributes increased during fruit ripening. Sensory qualities like taste, flavour and overall acceptability were significantly affected by harvesting date, cultivar and ripening period. Harvesting time and cultivars, however, did not influence the fruit appearance. Among textural attributes, peel firmness was closely associated with all the sensory parameters indicating that textural parameters could be useful to predict sensory profile of mango cultivars during their ripening. Cultivar-specific variations were observed while evaluating various equations (linear/polynomial/exponential/logarithmic/power) for correlating their textural and sensory attributes. Polynomial equation was found to be the best fit (highest coefficient of determination, R 2) for prediction of sensory quality using textural properties of majority of mango cultivars. All cultivars under study except Alphonso collected from Maharashtra showed R 2 value above 0.911 which indicated potentiality of the fitted equations for the prediction of sensory attributes using textural characteristics of mango. Springer Science+Business Media, LLC, 2011 Cultivar nationallicence Prediction model nationallicence Ripening period nationallicence Sensory and textural properties nationallicence Shelf life nationallicence Jha Shyam Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Jaiswal Pranita Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Narsaiah K. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Singh Ashish Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Kaur Poonam Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Sharma R. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Kumar R. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Bhardwaj Rishi Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut Food and Bioprocess Technology Springer-Verlag 6/3(2013-03-01), 734-745 1935-5130 6:3<734 2013 6 11947 https://doi.org/10.1007/s11947-011-0720-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11947-011-0720-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jha Shyam Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Jaiswal Pranita Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Narsaiah K. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Singh Ashish Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Kaur Poonam Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Sharma R. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Kumar R. Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 700 1- Bhardwaj Rishi Agricultural Structures and Environmental Control Division, Central Institute of Postharvest Engineering & Technology, 141004, Ludhiana, India aut NATIONALLICENCE 773 0- Food and Bioprocess Technology Springer-Verlag 6/3(2013-03-01), 734-745 1935-5130 6:3<734 2013 6 11947 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer