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. 2023 Mar 27;12(7):1426.
doi: 10.3390/foods12071426.

Performance of an Expert Sensory Panel and Instrumental Measures for Assessing Eating Fruit Quality Attributes in a Pear Breeding Programme

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Performance of an Expert Sensory Panel and Instrumental Measures for Assessing Eating Fruit Quality Attributes in a Pear Breeding Programme

Lidia Lozano et al. Foods. .

Abstract

Breeding programmes count on stable trained panels that support breeding evaluation selections. This work aimed to evaluate the performance of a small expert panel in the join IRTA-PFR breeding programme to validate its use in the sensory assessments of fruit pear genotypes during the selection process. A breeding F1 population of 80 pear seedlings from this programme was used. Descriptors and standard references used for sensory evaluations of pear attributes were previously defined by the four members of the expert panel. A General Procrustes Analysis (GPA) was applied to analyse the relations between instrumental and sensory traits. The results showed a good relationship between sensory attributes such as firmness and crispness with penetrometer measures. A high correlation was also found between sensory sourness and titratable acidity (TA). Panel performance was evaluated in terms of reproducibility, homogeneity, and panel consonance. The results indicated that the experts were very consistent and had a good performance. The work demonstrates, for the first time, that a small expert trained panel could be efficiently used in pear breeding programmes and allows for the selection process in a more economical and available way in contrast to the larger sensory panels conventionally used.

Keywords: expert panel; instrumental measurements; pear fruit quality; sensory descriptive analysis.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
The consensus space of the first and the second dimension after GPA for all 80 pear genotypes: (a) relationship between texture sensory data (firmness, crispness, juiciness, and grittiness) and instrumental data (penetrometer); (b) relationship between flavour sensory data (sweetness, sourness, and astringency) and instrumental data (TSS, TA, and TSS/TA ratio).
Figure 2
Figure 2
Loading plot F1 versus F2 of the principal components analysis models of each sensory attribute, (a) for sweetness, (b) for sourness, (c) for firmness, (d) for crispness, (e) for juiciness, (f) for astringency and (g) for grittiness, with the samples characterised by the scores of each expert panellist (four experts: A, B, C, D; samples n = 80).

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