Dataset for sample size for postharvest quality traits of ‘Palmer’ mangoes

The objective of this study was to determine the most efficient sample size required to estimate the mean of postharvest quality traits of ‘Palmer’ mangoes harvested in two growing seasons. A total of 50 mangoes were harvested at maturity stage 2, in winter (June 2020) and  spring (October 2020), and evaluated for weight, length, ventral and transverse diameter, skin  and pulp L*, C* and hº, dry matter, firmness, soluble solids (SS), titratable acidity (TA) and  the SS/TA ratio. Raw data and estimation of sample size for each quality trait in each growing season are attached. According to the results, the coefficient of variation (CV) of fruit quality traits ranged from 2.1% to 18.1%. The highest CV in both harvests was observed for the SS/TA ratio,  while the lowest was reported for pulp hº. In order to estimate the mean of physicochemical traits of ‘Palmer’ mangoes, 12 fruits are needed in the winter and 14 in the spring, considering  an estimation error of 10% and a confidence interval of 95%. TA and the SS/TA ratio required  the highest sample size, while L* and hº required the lowest sample size. In conclusion, the  variability was different among physicochemical traits and seasons, implying that different sample  sizes are required to estimate the mean of different quality traits in different growing seasons.