Open AccessNovel Nondestructive Technique to Determine Optimum Harvesting Stage of ‘Ataúlfo’ Mango Fruit
Author(s) -
J. A. Osuna-García,
Jesús Daniel Olivares-Figueroa,
Peter M.A. Toivonen,
Hilda A. ZavaletaMancera,
Ricardo Goenaga,
María Josefina Graciano Cristóbal
Publication year - 2021
Publication title -
journal of advances in agriculture
Language(s) - English
Resource type - Journals
ISSN - 2349-0837
DOI - 10.24297/jaa.v12i.9069
Subject(s) - colorimeter , near infrared spectroscopy , spectrometer , absorbance , skin color , color difference , mathematics , horticulture , chemistry , botany , analytical chemistry (journal) , chromatography , optics , biology , physics , artificial intelligence , computer science , enhanced data rates for gsm evolution
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.