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Mathematical modelling of Hass avocado firmness by using destructive and non-destructive devices at different maturity stages and under two storage conditions Cover

Mathematical modelling of Hass avocado firmness by using destructive and non-destructive devices at different maturity stages and under two storage conditions

Open Access
|Aug 2022

Figures & Tables

Figure 1

Spearman correlations of firmness data between destructive and non-destructive devices for Quilhuica (A,B) and Bartolillo (C,D) orchards. The firmness of the fruit stored in RA decreased rapidly once removed from cold storage conditions (day 30). The firmness of the fruit was not easily lost under CA storage and remained unaltered during the prolonged storage stage, and the fruit lost firmness faster after removal from storage at day 55. Figure 2A, 2C show the firmness loss measured by a texture analyser while Figure 2B, 2D show the firmness by a destructive device for Quilhuica and Bartolillo orchards, respectively. Differently from non-destructive devices, little change in firmness was observed when the penetrometer was used (Figure 2B, 2D).
Spearman correlations of firmness data between destructive and non-destructive devices for Quilhuica (A,B) and Bartolillo (C,D) orchards. The firmness of the fruit stored in RA decreased rapidly once removed from cold storage conditions (day 30). The firmness of the fruit was not easily lost under CA storage and remained unaltered during the prolonged storage stage, and the fruit lost firmness faster after removal from storage at day 55. Figure 2A, 2C show the firmness loss measured by a texture analyser while Figure 2B, 2D show the firmness by a destructive device for Quilhuica and Bartolillo orchards, respectively. Differently from non-destructive devices, little change in firmness was observed when the penetrometer was used (Figure 2B, 2D).

Figure 2

Changes in firmness from harvest until RTE stage of fruit stored in RA and CA storage of both orchards, Quilhuica (A,B) and Bartolillo (C,D). CA, controlled atmosphere; RA, regular air; RTE, ready-to-eat.
Changes in firmness from harvest until RTE stage of fruit stored in RA and CA storage of both orchards, Quilhuica (A,B) and Bartolillo (C,D). CA, controlled atmosphere; RA, regular air; RTE, ready-to-eat.

Figure S1

Normal Q-Q plots of fruit firmness measured by non-destructive (A,C) and destructive (B,D) devices. (A,B): Fruit stored in RA and (C,D) stored in CA of Quilhuica orchard. CA, controlled atmosphere; RA, regular air.
Normal Q-Q plots of fruit firmness measured by non-destructive (A,C) and destructive (B,D) devices. (A,B): Fruit stored in RA and (C,D) stored in CA of Quilhuica orchard. CA, controlled atmosphere; RA, regular air.

Figure S2

Normal Q-Q plots of fruit firmness measured by non-destructive (A,C) and destructive (B,D) devices. (A,B): Fruit stored in regular air (RA) and (C,D) stored in the controlled atmosphere (CA) of Bartolillo orchard.
Normal Q-Q plots of fruit firmness measured by non-destructive (A,C) and destructive (B,D) devices. (A,B): Fruit stored in regular air (RA) and (C,D) stored in the controlled atmosphere (CA) of Bartolillo orchard.

Figure S3

Histograms of normal distributions of firmness measured by non-destructive device and destructive device for both fruit stored in regular and CA of Quilhuica orchard. CA, controlled atmosphere; RA, regular air.
Histograms of normal distributions of firmness measured by non-destructive device and destructive device for both fruit stored in regular and CA of Quilhuica orchard. CA, controlled atmosphere; RA, regular air.

Figure S4

Histograms of normal distributions of firmness measured by non-destructive device and destructive device for both fruit stored in regular and CA of Bartolillo orchard. CA, controlled atmosphere; RA, regular air.
Histograms of normal distributions of firmness measured by non-destructive device and destructive device for both fruit stored in regular and CA of Bartolillo orchard. CA, controlled atmosphere; RA, regular air.

Mean comparisons of firmness during storage time after ANOVA by Kruskal–Wallis (non-parametric ANOVA)_

Storage time*QuilhuicaBartolillo

FTAFPEFTAFPE
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Model prediction intervals from each regression analysis performed_ Four models were tested from different datasets_

ModelFTAFPEFitted FPElwrupr
Q_RA97.79302.60255.13146.99363.27
86.84267.00232.24124.10340.38
93.92249.20247.05138.91355.19
91.70281.24242.40134.26350.54
95.96267.00251.31143.17359.46
82.85249.20223.89115.75332.03
121.22252.76304.13195.95412.31
86.14249.20230.79122.65338.93

ModelFTAFPEFitted FPElwrupr

Q_CA97.79302.60231.53120.30342.76
86.84267.00214.03102.80325.26
157.88284.80327.62216.33438.90
92.81267.00223.58112.35334.81
120.86267.00268.42157.20379.65
82.85249.20207.6496.41318.88
101.42284.80237.34126.12348.56
86.14249.20212.92101.68324.15

ModelFTAFPEFitted FPElwrupr

B_RA68.01234.96200.5083.41317.60
103.33252.76256.18139.09373.27
96.82284.80245.92128.83363.01
81.22284.80221.33104.24338.41
80.86284.80220.76103.67337.84
83.43267.00224.81107.73341.90
113.48284.80272.18155.08389.29
114.79267.00274.25157.14391.36

ModelFTAFPEfitted FPElwrupr

B_CA10.695.3499.55−7.85206.96
83.80252.76210.40103.19317.62
88.70238.52217.84110.62325.05
89.11249.20218.46111.25325.67
83.48249.20209.92102.70317.14
78.88284.80202.9595.73310.17
209.33284.80400.75293.28508.21
8.825.3496.71−10.70204.12
DOI: https://doi.org/10.2478/fhort-2022-0011 | Journal eISSN: 2083-5965 | Journal ISSN: 0867-1761
Language: English
Page range: 139 - 150
Submitted on: Mar 1, 2022
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Accepted on: Jun 14, 2022
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Published on: Aug 5, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2022 Virgilio Gavicho Uarrota, Romina Pedreschi, published by Polish Society for Horticultural Sciences (PSHS)
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.