A Fruit Quality Survey of Peach Cultivars Grown in the Southeastern United States

Belisle, Catherine E.; Phan, Uyen Thuy Xuan; Adhikari, Koushik; Chavez, Dario J.

doi:10.21273/horttech03870-17

Cited by 15 publications

(17 citation statements)

References 34 publications

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“…Perceived flavor of the fruit is also important for consumer acceptability [46,47]. In peach, the perceived sweetness of the fruit is especially important and is dependent on the sugar content and acidity of the fruit [47,48]. In this study, PCA indicated that 'July Prince' was separable from the other cultivars due, in part, to its lower TA (Figure S2).…”

Section: Discussionmentioning

confidence: 67%

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Optimizing Fruit-Thinning Strategies in Peach (Prunus persica) Production

et al. 2020

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Fruit size is a highly valued commercial trait in peach. Competition among fruit and among other sinks on a tree reduces potential growth rate of the fruit. Hence, crop-load management strategies such as thinning (removal of flowers or fruit) are often practiced by growers to optimize fruit size. Thinning can be performed at bloom or during early fruit development and at different intensities to optimize fruit growth responses. Responses to thinning may be cultivar and location specific. The objective of the current study was to fine-tune thinning strategies in the southeastern United States, a major peach producing region. Timing and intensity of thinning were evaluated across multiple cultivars over three years. Thinning at bloom or at 21 d after full bloom (DAFB) improved fruit size in comparison to unthinned trees in ‘Cary Mac’ and ‘July Prince’, respectively, in one year. Bloom-thinning reduced fruit yield (kg per tree) in the above cultivars in one year, suggesting that flower thinning alone may not be a viable option in this region. Intensity of thinning, evaluated as spacings of 15 cm and 20 cm between fruit, did not differentially affect fruit weight or yield. However, fruit diameter decreased quadratically with increasing fruit number per tree in ‘Cary Mac’, ‘July Prince’ and ‘Summer Flame’. Similarly, fruit weight decreased quadratically in response to increase in fruit number per tree in ‘Cary Mac’ and ‘July Prince’. Further, yield-per-tree decreased with increasing fruit size in ‘Cary Mac’ and ‘July Prince’. Importantly, these relationships were cultivar specific. Together, the data suggest that achieving a target fruit number per tree is an effective strategy for crop-load management to optimize fruit size in southeastern peach production. The target fruit number per tree may potentially be achieved through a combination of flower and fruit-thinning during early fruit development. Such an approach may provide flexibility in crop-load management in relation to adverse weather events.

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Section: Discussionmentioning

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Optimizing Fruit-Thinning Strategies in Peach (Prunus persica) Production

et al. 2020

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“…In the present study, the TSS/titratable acidity ratio in the Desertred cultivar was 11.32. Previous studies have linked the sweetness perception of consumers with high TSS/titratable acidity ratio values [9,11,[45][46][47], where the cultivar with the highest ratio was considered the sweetest cultivar [9]. In the present study, the swelling cultivar was considered to be the sweetest cultivar.…”

Section: Plos Onementioning

confidence: 83%

“…However, these changes affect the sensorial characteristics and nutritional value of peach fruits. Thus, statistical analyses using Pearson's pairwise correlation and regression analysis between the variables can be used to examine variability in the chemical parameters that depict peach quality [11]. However, titratable acidity is the most substantial contributor to overall flavor and acid taste: TSS is the best predictor of sweet taste, and TSS/titratable acidity is the best predictor of fruit flavor [12].…”

Section: Introductionmentioning

confidence: 99%

Development of an artificial neural network as a tool for predicting the chemical attributes of fresh peach fruits

et al. 2021

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This investigation aimed to develop a method to predict the total soluble solids (TSS), titratable acidity, TSS/titratable acidity, vitamin C, anthocyanin, and total carotenoids contents using surface color values (L*, Hue and chroma), single fruit weight, juice volume, and sphericity percent of fresh peach fruit. Multiple regression analysis (MLR) and an artificial neural network (ANN) were employed. An ANN model was developed with six inputs and 15 neurons in the first hidden layer for the prediction of six chemical composition parameters. The results confirmed that the ANN model R2 = 974–0.998 outperformed the MLR models R2 = 0.473–0.840 using testing dataset. Moreover, sensitivity analysis revealed that the juice volume was the most dominating parameter for the prediction of titratable acidity, TSS/titratable acidity and vitamin C with corresponding contribution values of 39.97%, 50.40%, and 33.08%, respectively. In addition, sphericity percent contributed by 23.70% to anthocyanin and by 24.08% to total carotenoids. Furthermore, hue on TSS prediction was the highest compared with the other parameters, with a contribution percentage of 20.86%. Chroma contributed by different values to all variables in the range of 5.29% to 19.39%. Furthermore, fruit weight contributed by different values to all variables in the range of 16.67% to 23.48%. The ANN prediction method denotes a promising methodology to estimate targeted chemical composition levels of fresh peach fruits. The information of peach quality reported in this investigation can be used as a baseline for understanding and further examining peach fruit quality.

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“…Negative correlations between the GC a* value and the TA (GC-TA) were consistently found in all four cultivars in both years, indicating that fruit maturity affects acidity (Table 8). It was reported that growing conditions have less impact on TA than SSC, and TA remained relatively consistent season-toseason if fruit maturity was similar (Belisle et al, 2018;Delgado et al, 2013). Because the GC a* value did not have a high correlation with the FC a* value for NMF 'Gulfking', which suggests that GC a* value may not be a reliable maturity index for this NMF cultivar, TA may be used as a maturity index only for the MF cultivars and NMF 'UFSun'.…”

Section: Resultsmentioning

confidence: 99%

Optimum Harvest of Low-chill Melting and Non-melting Flesh Peach Cultivars for Direct Ripening and Ripening following Low Temperature Storage

Kao¹,

Brecht²,

Williamson³

2020

horts

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The physical and chemical characteristics of two melting flesh (MF) cultivars, TropicBeauty and Flordaprince, and two non-melting flesh (NMF) cultivars, UFSun and Gulfking, with advancing maturities, were determined at harvest, after ripening at 20 °C for 7 days (i.e., direct ripening) and after storage at 0 °C for 14 days then ripening at 20 °C for 7 days (i.e., ripening following low temperature storage). The NMF cultivars were able to retain flesh firmness better than the MF cultivars as fruit matured and ripened on the tree and after the two storage treatments. The NMF fruit of the least mature to the most advanced maturity groups (MGs) were ≈2 to 7 times firmer than the MF fruit in the same MGs after ripening in both storage conditions. For both MF and NMF fruit, a significant reduction of titratable acidity (TA) occurred with no significant changes in soluble solids content (SSC) and total soluble sugar (TSS) as maturity and ripening progressed on the tree and after ripening in both storage conditions. Minimum quality standards of “ready for consumption” peaches were used as general guidelines to determine the optimum harvest maturity of all four cultivars. The NMF fruit ripened directly had wider optimum harvest maturity ranges and could be harvested at more advanced stages than the MF fruit. The MF fruit that ripened following low temperature storage needed to be picked at earlier maturity stages than those that were directly ripened. The optimum harvest maturity of NMF UFSun for the low temperature storage treatment was more advanced than that of the other three cultivars due to abnormal softening found in the lower MGs after ripening. Linear correlation analyses showed that the skin ground color (GC) a* values of both MF cultivars and NMF ‘UFSun’ were highly correlated with the flesh color (FC) a* values, suggesting that GC a* values can be an informative harvest indicator for this NMF cultivar instead of the traditionally used FC. The GC a* values also had high linear correlation with TA for all four cultivars, suggesting that TA can be a potential maturity index for both MF and NMF peaches. Significant correlations of GC a* values and flesh firmness (GC-FF) were found in all four cultivars in one year but only in MF peaches in both years, showing that flesh firmness was the most consistent maturity indicator for the MF cultivars in this study.

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A Fruit Quality Survey of Peach Cultivars Grown in the Southeastern United States

Cited by 15 publications

References 34 publications

Optimizing Fruit-Thinning Strategies in Peach (Prunus persica) Production

Optimizing Fruit-Thinning Strategies in Peach (Prunus persica) Production

Development of an artificial neural network as a tool for predicting the chemical attributes of fresh peach fruits

Optimum Harvest of Low-chill Melting and Non-melting Flesh Peach Cultivars for Direct Ripening and Ripening following Low Temperature Storage

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