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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Postharvest behavior of mangoes nondestructively sorted based on dry matter content during and after storage under controlled atmosphere

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Author(s):
dos Santos Neto, J. P. [1] ; de Carvalho, L. C. [2] ; Leite, G. W. P. [1] ; Cunha Junior, L. C. [3] ; Gratao, P. L. [1] ; de Freitas, S. T. [4] ; Almeida, D. P. F. [5] ; de Almeida Teixeira, G. H. [1]
Total Authors: 8
Affiliation:
[1] Univ Estadual Paulista, Fac Ciencias Agr & Vet, Campus Jaboticabal, BR-14870900 Jaboticabal, SP - Brazil
[2] Univ Estadual Paulista UNESP, Fac Ciencias Farmaceut FCFAR, Dept Alimentos & Nutr, Campus Araraquara, Km 1, CP 502, BR-14800903 Araraquara, SP - Brazil
[3] Univ Fed Goias, Escola Agron, Setor Hort, Km 0, Campus Samambaia, Caixa Postal 131, BR-74690900 Goiania, Go - Brazil
[4] Empresa Brasileira Pesquisa Agr, Rodovia BR-428, Km 152 S-N, BR-56302970 Petrolina, PE - Brazil
[5] Univ Lisbon, Inst Super Agron, P-1349017 Lisbon - Portugal
Total Affiliations: 5
Document type: Journal article
Source: Fruits; v. 74, n. 6, p. 294-302, NOV-DEC 2019.
Web of Science Citations: 0
Abstract

Introduction - As maturity plays an important role during controlled atmosphere (CA) storage, the objective of this study was to evaluate if mangoes sorted based on visual characteristics behave differently during CA storage than mangoes sorted based on 150 g kg(-1) dry matter (DM) content using near-infrared (Vis-NIR) spectrometer. Materials and methods - `Palmer' mangoes were harvested and DM predicted by partial least squares regression (PLSR). Fruit quality was evaluated at harvest, after 30 d of CA storage, and after 30 d plus 4 d at ambient conditions. Results and discussion - PLSR model developed with fruit from 2015/2016 and 2016/2017 seasons was able to predict DM content from mangoes produced in a different region (Petrolina, PE), but with high root mean square error of prediction (RMSEP = 20.2 g kg(-1)) and low R-p(2) (0.19). Therefore, Vis-NIR spectra from mangoes produced in Petrolina, PE were incorporated into the data set and a new model was developed (RMSEv = 13.8 g kg(-1), and R-v(2) = 0.63). With the new PLSR model it was possible to sort mangoes produced in Petrofina, PE with 150 g kg(-1) DM. Quality differences were not observed between fruit sorted based on 150 g kg(-1) DM and based on visual appearance. However, the mangoes sorted based on 150 g kg(-1) DM presented lower standard deviation, indicating a more homogeneous fruit batch. Conclusion - The use of portable Vis-NIR spectrometer allows a more uniform sorting of mangoes, which can be used to improve the quality of mangoes that reach the consumer. (AU)

FAPESP's process: 15/03451-9 - MANGOEXPORT - improving mango quality in export supply chains
Grantee:Gustavo Henrique de Almeida Teixeira
Support type: Regular Research Grants
FAPESP's process: 15/25631-9 - Optimization of controlled atmosphere storage conditions to export 'Palmer' mango
Grantee:João Paixão dos Santos Neto
Support type: Scholarships in Brazil - Doctorate