A Multi-Parameter Approach for Apricot Texture Analysis

Séverine Gabioud Rebeaud, Alice Jaylet, Pierre-Yves Cotter, Cédric Camps and Danilo Christen
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Séverine Gabioud Rebeaud: Agroscope Research Center, 1964 Conthey, Switzerland
Alice Jaylet: Agroscope Research Center, 1964 Conthey, Switzerland
Pierre-Yves Cotter: Agroscope Research Center, 1964 Conthey, Switzerland
Cédric Camps: Agroscope Research Center, 1964 Conthey, Switzerland
Danilo Christen: Agroscope Research Center, 1964 Conthey, Switzerland

Agriculture, 2019, vol. 9, issue 4, 1-14

Abstract: Apricots have a short storage life principally caused by a rapid softening, which increases the sensitivity of the fruit to mechanical damage, and to the development of fungal diseases. The current methods to assess fruit firmness give limited information on the evolution and the mechanisms of softening. With the aim of developing novel strategies to better monitor fruit softening, a multi-parameter approach measuring textural properties was evaluated and compared to a reference method whose results are obtained from a unique parameter. ‘Goldrich’ and ‘Orangered ® ’ apricots were used in this study as representative cultivars with substantially different post-harvest behavior. The results showed that this multi-parametric approach allows detailed evaluation of the influence of storage conditions on apricots’ textural properties. The correlations found between firmness values measured by the standard method and the multiple textural parameters obtained by the compression and the puncture tests on the fruit flesh had r-values ranging from 0.6 to 0.78. Parameters related to the skin were, however, poorly correlated with the standard method, with r-values all below 0.4. Taken together, these results demonstrate that a multi-parameter approach allows a better understanding of how storage conditions influence the softening of apricots in a cultivar-specific manner.

Keywords: apricot; storage; texture; puncture test; compression test (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2019
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