Relationship between nondestructive firmness measurements and commercially important ripening fruit stages for peaches, nectarines and plums

By Constantino Valero, C. Crisosto, D. Slaughter. 2007

161 citations recorded by the source corpus.

Fruit firmness measurement is a good way to monitor fruit softening and to predict bruising damage during harvest and postharvest handling. Ripening protocols traditionally utilize a destructive penetrometer-type fruit firmness measure to monitor ripening. Until recently, methods of assessing fruit texture properties nondestructively were not commercially available. The nondestructive Sinclair iQ™ firmness tester was investigated to monitor ripening and predict bruising susceptibility in stone fruit. This work was carried out on four peach, three plum, and five nectarine cultivars over two seasons. The correlations between destructive and nondestructive firmness measurements were significant (p-value = 0.0001), although too low for commercial applications as they varied from r2 = 0.60–0.71 according to fruit type. Using a different approach, the relationship between destructive and nondestructive firmness measures was characterized in terms of segregating these fruit according to their stages of ripening. This was done by using discriminant analysis (66–90% agreement in ripeness stage classification was observed in validation tests). Discriminant analysis consistently segregated nondestructive firmness measured fruit into commercially important classes (“ready to eat”, “ready to buy”, “mature and immature”). These represented key ripening stages with different bruising potentials and consumer acceptance. This work points out the importance to relate nondestructive measurements directly to important commercial physiological stages rather than to correlate them with the current standard penetrometer values. Thus, destructive and nondestructive firmness measurements can be directly used to identify the stage of ripeness and potential susceptibility to bruising during postharvest changes. Further work is recommended to evaluate the performance of this nondestructive sensor in segregating fruit according to their stage of ripeness under packinghouse or processing plant conditions.

Subfields: Analytical Chemistry, Plant Science

View Paper: https://www.semanticscholar.org/paper/49b76c14855581e79001360bd804b678711a93db

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In Analytical Chemistry

In Plant Science

Citations in the corpus

Phenotypic diversity and relationships of fruit quality traits in peach and nectarine [Prunus persica (L.) Batsch] breeding progenies (2009, result): “Firmness was also higher in nectarine than in peach fruits (Table 2), as observed by other authors (Crisosto et al. 2001a; Valero et al. 2007).”
Chilling injury susceptibility in an intra-specific peach (Prunus persica (L.) Batsch) progeny (2010, background): “Some of the progeny showed 232 firmness values higher than 35 N, which has been defined as the threshold between 233 mature and immature fruit (Valero et al., 2007), due to the variability of fruit softening 234 within a tree.”
Comparison of multispectral indexes extracted from hyperspectral images for the assessment of fruit ripening (2011, background): “, 2008), firmness estimated by impact (De Ketelaere et al., 2006; Diezma-Iglesias et al., 2004; Valero et al., 2007; Zude et al., 2006) or acoustic response (De Belie et al.”