Abstract

A portable spectrometer was validated to determine optimum harvesting stage of ‘Ataúlfo’ using dry matter and skin color as fruit indicators. To build the model, samples were collected as follows: a. Unripe; b. Green Mature 1; c. Green Mature 2; d. Green Mature 3; and e. Fully mature. Fruit were scanned with a near infrared spectrometer at three temperatures (15, 25, and 35 °C). Skin color (‘a’ value) was measured with a Minolta 400 colorimeter. DM was attained in a conventional oven by drying samples for 72 h at 60 °C. Model was built and validated three times. The best model linearity was obtained on skin color ‘a’ (R2 = 0.98), whereas for DM the R2 was only 0.70. For the first validation, the best predicted value was skin color ‘a’ with an R2 = 0.9144, followed by DM with an R2 = 0.7056. On the second validation, the adjusted predicted value for skin color ‘a’ had an R2 = 0.8798, while DM had an R2 = 0.4445. When comparing NIR versus Heat Units Accumulation, in Nayarit, ‘Ataúlfo’ skin color average difference between the spectrometer vs the colorimeter was only -0.04. For ‘Ataúlfo’ from Sinaloa, skin color average difference was only -0.06, but the correlation was higher (R2 = 0.90). In conclusion, measuring skin color with the NIR spectrometer has potential as a nondestructive technique to determine the optimum harvesting stage of ‘Ataúlfo’ mango.

Highlights

  • Mango (Mangifera indica L.) is a tropical fruit usually harvested in a mature green stage

  • Mango maturity stage and quality depend on a large number of attributes, which are measured by various methods along the export chain

  • The model for dry matter content (DM) was built in the wavelength range of 801 to 975 nm, while for skin color was in the 501 to 618 nm range

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Summary

Introduction

Mango (Mangifera indica L.) is a tropical fruit usually harvested in a mature green stage. This research was conducted to build a Model and validate a portable spectrometer to determine optimum harvesting stage of ‘Ataúlfo’ mango using DM and skin color as fruit quality indicators. ‘Ataúlfo’ fruit maturity stages for building the model.

Results
Conclusion

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