Tailoring Organic Apples by Cultivar Selection, Production System, and Post-harvest Treatment to Improve Quality and Storage Life

Authors:
Ibrahim I. Tahir Department of Plant Breeding and Biotechnology, Swedish University of Agricultural Sciences, P.O. Box 104, 230 53 Alnarp, Sweden

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Hilde Nybom Department of Plant Breeding and Biotechnology–Balsgård, Swedish University of Agricultural Sciences, Fjälkestadsvägen 459, 291 94 Kristianstad, Sweden

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Abstract

A series of pre- and post-harvest experiments were conducted to enhance apple tree productivity and improve fruit quality and storage life by altering production system and post-harvest treatments in an organic orchard. Increasing the light distribution and carbohydrate uptake (summer pruning and covering the orchard ground with reflective textile) improved tree productivity, fruit color, content of anthocyanin, ascorbic acid, and total phenolic compounds and reduced incidence of fungal storage diseases. Optimal harvesting time could be determined from the starch index in some cultivars, whereas the Streif index [firmness (soluble solids concentration × starch hydrolysis score)−1] was more accurate for other cultivars. In yet others, titratable acidity and flesh firmness also produced important information. By contrast, soluble solids concentration and skin color are not useful as a result of their sensitivity to weather conditions and light intensity. Post-harvest fruit treatment with hot water (46 °C for 120 seconds) decreased fungal decay during storage in two cultivars, whereas spraying the fruit with 10% ethanol decreased fungal decay in all investigated cultivars. Optimization of storage conditions [cultivar-specific controlled atmosphere (CA) and ultra-low oxygen (ULO) storage procedures] maintained fruit quality and reduced the amount of fungal decay.

As a result of the high market value and increasing interest from consumers, efforts have been made to promote organic apple production and solve some of the problems facing this system such as application of integrated pest and groundcover management (Lima et al., 2003; Weibel, 2002) and fertilization regimes (Herencia et al., 2007). Apple is the main commercial fruit crop in Sweden and is grown on 1440 ha, of which only 10% are organic. Orchard productivity is comparatively low and varies between 12 and 20 t·ha−1 (Ascard et al., 2010; Jönsson, 2007). Because apple scab is the most detrimental disease in cool and moist production areas, cultivars with monogenic (vertical) or polygenic (horizontal) resistance to this disease have received considerable attention. Many of these scab-resistant cultivars, however, suffer from poor skin color at harvest, low resistance to fungal decay and physiological disorders, and rapid deterioration of fruit quality during storage and post-storage handling (i.e., poor shelf life) (Jönsson and Nybom, 2007; Jönsson and Tahir, 2004).

Numerous measures have been suggested for the improvement of apple yield and quality, some of which could be very valuable also in organic apple production. For instance, fruit color and storage potential may be improved by summer pruning of the trees and covering the orchard ground with reflective materials (Blanke, 2008; Funke and Blanke, 2005; Tahir et al., 2005). Both production practices provide a better light distribution in the canopy and thus enhance the red skin color. Pruning reduces competition between fruit and vegetative growth, improving carbohydrate accumulation and post-harvest internal quality and storability. However, in a previous study, we found that using each practice alone did not achieve significant effects (Tahir et al., 2008).

The stage of fruit maturation at the time of picking influences the overall dessert quality of apples both at harvest and after storage (Rizzolo et al., 2006; Vielma et al., 2008) as well as the ability to withstand fungal attacks (Lafer, 2006). Accurate determination of an optimum harvesting date is therefore important for maintaining fruit quality and minimizing losses during storage. Elaborate harvesting indices based on changes in physical and biochemical properties like internal ethylene concentration and respiration rate (Delong et al., 2009; Echeverría et al., 2002; Peirs et al., 2004) are accurate but time-intensive. More practical and simple indices, like starch conversion to sugar, fruit softening, and color development (Peirss et al., 2004; Willats et al., 2001), are needed but must be correlated with the known accurate indices. Also, each index has to be evaluated for specific cultivar and environment effects.

In apple, various post-harvest treatments are commonly applied to control fungal decay and maintain fruit quality during storage. For organically produced fruit, non-chemical methods have been used like post-harvest heating (Paull and Chen, 2000; Tahir et al., 2009). Success of dipping the fruit in warm water however depends on cultivar and exposure period (Conway et al., 2004; Maxin et al., 2012). Post-harvest decay can also be reduced by spraying with ethanol immediately after harvest, which denaturizes proteins in fungal cells and can delay fruit ripening (Karabulut et al., 2004; Zhang et al., 2007).

Finally, storage in CA including ULO helps to maintain fruit quality and, especially in the case of organic fruit, protects against fungal diseases. Unfavorable CA conditions can, however, induce physiological disorders (e.g., flesh browning), enhance susceptibility to decay, and shorten shelf life (de Castro et al., 2007; Fawbush et al., 2008). Thus, optimum CA conditions must be investigated for cultivars used in organic apple production (Delate et al., 2003).

The purpose of this work was to investigate the feasibility of improving yield, quality, and storage life of some organically grown apple cultivars with known scab resistance by optimizing procedures in four different areas: orchard management, determination of correct harvesting time, application of post-harvest fruit protection, and use of storage conditions.

Materials and Methods

Plant materials

Eight organically grown apple cultivars, recently developed and potentially important for areas with a cool climate, ‘Agra’ [Latvia, ‘Quinte’ × (‘Tallinna Pirnoun’ × ‘Suislepper’), good field resistance against apple scab], ‘Dayton’ [USA, NJ123249 × PRI1235-100 (including, e.g., ‘Melba’, ‘Jonathan’, and ‘Rome Beauty’), Vf resistance against apple scab], ‘Delorina’ (France, ‘Grifer’ × ‘Florina’, Vf resistance), ‘Eir’ (Norway, ‘Katja’ × ‘Buckley’s Giant’, good field resistance against apple scab), ‘Ella’ (Latvia, unknown pedigree, good field resistance against apple scab), ‘Santana’ (The Netherlands, ‘Elstar’ × ‘Priscilla’, Vf resistance), ‘Sultanat’ (Kazakhstan, ‘Reinette de Burchardt’ open-pollinated, good field resistance against apple scab), and ‘Zarya Alatau’ (Kazakhstan, ‘Reinette d’Orleans’ open-pollinated, good field resistance against apple scab), were used, either all or a subset, in four different experiments in an organic orchard in Kivik, southeastern Sweden (lat. ≈55° N). Trees on rootstock M26 had been planted at 1.25 × 4 m (in total 2000 trees/ha) in 1999 and trained according to the super spindle system. Pruning was performed each year in early April to maintain this shape. The orchard was fertilized each year (Bina blue 6N:1P:12K, Garta, Sweden) with 300 g per tree in May and with 116 g per tree in June. Monthly soil cultivation was conducted with a rotary hoe rototiller during April to July. Plant protection measures were applied according to the regulations for commercial organic apple production defined by the Swedish Board of Agriculture (SJV). Neither irrigation nor bloom or fruit thinning was undertaken to reflect commonly applied orchard management in Sweden. The orchard was divided into two parts.

Pre-harvest practices: one experiment

Expt. 1: Orchard management: summer pruning and reflective mulch.

The first part of the orchard included 24 trees per each of six cultivars (‘Dayton’, ‘Delorina’, ‘Ella’, ‘Santana’, ‘Sultanat’, and ‘Zarya Alatau’). Trees were arranged in three blocks to create a completely randomized block design (eight trees per block and cultivar). In each block, four trees were treated according to standard practice (only early April pruning, no ground coverage). The other four trees were summer pruned at 10 to 15 July each year, and the ground under these trees was covered with a reflective textile (white sheet, 0.6 mm thick and 2 m wide; Lotico, Sweden) during 15 July to 15 Sept. Light penetration within the canopy was estimated at 1500 hr local time on a sunny day once a week during July to August in 2009 and 2010. These measurements were conducted at the center of the trunk, from four directions along the crown and 70 cm above the ground, using a light meter (L1-188; L1-COR, Frederickson, Copenhagen, Denmark). Full sunlight was measured (at the same time and height) in a free area (between rows). Sunlight penetration (percent) was calculated as the amount of sunlight that reached the orchard floor and midcanopy compared with full sunlight. The fruits were harvested at a pre-climacteric stage with ethylene production at 0.1 to 0.3 μL·L−1·kg−1·h−1, firmness ≈8.0 kg·cm−2, and starch staining 4 on a 10-point scale, counted, and weighed. A sample of 25 fruit was picked from the inside and outside of each tree (a total of 100 fruit per block and cultivar), stored in cold air [+2 °C and 90% relative humidity (RH)] for four months followed by 1 week in a plastic chamber at 18 ± 2 °C and 80% RH. Fruit quality parameters were investigated both at harvest and after storage when the fruit were also screened for physiological disorders and storage rots (see subsequently).

Post-harvest practices: three experiments (2, 3, and 4)

The second part of the orchard included 15 trees of each of the eight cultivars (‘Agra’, ‘Dayton’, ‘Delorina’, ‘Eir’, ‘Ella’, ‘Santana’, ‘Sultanat’, and ‘Zarya Alatau’). Trees were arranged in three blocks as a completely randomized block design (five trees per block and cultivar). Fruit for three experiments (2, 3, and 4) were picked in this part.

Expt. 2: Determination of optimal harvest date.

Two fruit were picked each year from the outside and inside, respectively, of each tree in the second part of the orchard (10 fruit per block and cultivar) at three times a week for a total of 4 weeks per cultivar, starting at 95 d (‘Agra’), 100 d (‘Eir’), 105 d (‘Ella’), 120 d (‘Dayton’, ‘Santana’, and ‘Zarya Alatau’) and 125 d (‘Delorina’ and ‘Sultanat’) after full bloom. The starting days were chosen from experiences in previous years in the same orchard. The 30 fruits were analyzed for several parameters commonly used for the development of a maturity index as described below. Weekly averages were used for the harvesting indices in the statistical analyses, and ethylene production was used as a standard method as a result of its higher accuracy. Each year, a sample with eight fruits per tree and cultivar (total 40 fruits per block and cultivar) was picked early in the morning (to obtain cold fruit) at weekly intervals for a total of four times a year and stored in cold air (+2 °C and 90% RH) for four months followed by 1 week in a plastic chamber at 18 ± 2 °C and 80% RH. Percentage fruit with physiological disorders and fungal decay as well as fruit quality were estimated after storage as described below.

Expt. 3: Post-harvest treatment with heating and ethanol.

In 2009 and 2010, four cultivars (‘Agra’, ‘Dayton’, ‘Eir’, and ‘Sultanat’) in the second part of the orchard were used in this experiment. A sample of 120 apples per cultivar was picked from each block (24 fruit from each tree, total 360 fruits per cultivar) at a pre-climacteric stage with ethylene production at 0.1–0.3 μL·L−1·kg−1·h−1, firmness ≈8.0 kg·cm−2, and starch staining 4 on a 10-point scale. Apples were divided into three subsamples (40 fruits each); the first one was sprayed with an ethanol solution (Solveco, Stockholm, Sweden), 100 mL·L−1 using an airbrush sprayer (Iwata, Spraypal, Italy), the second was immersed in water for 120 s at 46 °C, and the third was left as a control without any treatment. All subsamples were stored in cold air (+2 °C and 90% RH) for 16 weeks followed by 1 week in a plastic chamber at 18 ± 2 °C and 80% RH before the percentage fruit with fungal decay (Colletotrichum spp. and Neofabraea spp.) was determined.

Expt. 4: Controlled atmosphere storage.

Each year, a sample of 24 fruits was picked at a pre-climacteric stage from each tree in the second part of the orchard, resulting in a total of 120 fruit per block and 360 fruits per cultivar. The fruits were harvested at a pre-climacteric stage with ethylene production at 0.3 μL·L−1·kg−1·h−1 and starch staining 4 on a 10-point scale. Fruit were transported to Balsgård, SLU, sorted for uniform size and absence of blemishes including bitter pit, and divided into four subsamples (30 fruits in each of the three blocks, i.e., 90 fruits per cultivar). One of the subsamples was placed in cold air (+2 °C and 90% RH), one each in two ULO storage chambers (ULO 1: 1.0 kPa O2 and 1.0 kPa CO2 and ULO 2: 1.0 kPa O2 and 2.0 kPa CO2) and one in a CA (CA: 2.0 kPa O2 and 2.0 kPa CO2). CA and ULO storage was achieved in computer-controlled 350-L chambers (Ninolab, Upplands Väsby, Sweden) with gas composition established 3 d before placing the apples in the chambers. After five months in storage and 1 week in a plastic chamber at 18 ± 2 °C and 80% RH, quality parameters as well as physiological disorders and fungal decay incidence were evaluated as described below.

Analysis

Analyses of maturity indices.

In all experiments, the following maturity indices were estimated at harvest on fruit picked from outside and inside of each tree, three times a week, two for internal ethylene production and two for other indices (16 fruit per block and cultivar in Expt. 1 and 20 fruit per block and cultivar in the other three experiments):

  1. Fruit coloration was measured using a chromometer, CR200, with an 8-mm diameter aperture (Minolta Ltd., Osaka, Japan). Measurements were conducted on three spots per apple and expressed as hue angle h°, where 0° = red–purple, 90° = yellow, 180° = bluish green, and 270° = blue (McGuire, 1992).

  2. Firmness was measured on opposite, peeled sides, at the equator of each fruit, using a penetrometer (Model FT 327; Effigi, Italy; plunger diameter of 11.1 mm, depth of 7.9 mm) and results expressed as kg·cm−2.

  3. Starch hydrolysis was evaluated by dipping a slice of the fruit, cut across the equator, in an iodine solution (8.8 g potassium iodide and 2.2 g iodine per liter) for 1 min. Starch staining was graded on a scale of 10: 1 = full color and 10 = free of starch (no color).

  4. Titratable acidity (TA) was measured on juice extracted by a juicer (Phillips HR 1854, The Netherlands) from composite samples of segments of two fruits per tree using a titration unit (Titroline Easy; SCHOTT Instr. GmbH, Germany) and 0.1 M NaOH to an end point of pH 8.2 with results expressed as malic acid equivalents.

  5. The extracted juice was also used for measurement of soluble solids concentration (SSC) using a refractometer (Atago PR-100; Atago Co. Ltd., Tokyo, Japan) with, results expressed as equivalent to percent SSC at 20 °C.

  6. The Streif index was calculated as [firmness (SSC × starch hydrolysis score)−1] (Streif, 1996).

  7. Internal ethylene production: 3 h after harvesting, the two fruit were placed in 0.5-L jars at 20 °C. The jars were sealed for 3 to 4 h before measurements. Ethylene was quantified by gas chromatography (Agilent GC 6850) equipped with a flame ionization detector, automatic gas sampling valve 1000 μL, 150 °C, and fitted with a capillary column HP plot Q 30 × 0.53 mm × 40 μm (Agilent). Analyses were run isothermally with an oven temperature of 70 °C and a detector temperature of 250 °C. Flow rates for nitrogen, hydrogen, and compressed air were 20, 45, and 225 mL·min−1. Ethylene was quantified by peak area, and external standards were used for calibration. Evaluation and calculation were carried out with Chemstation Version 9.03 (Agilent).

Analysis of quality parameters at harvest.

In all experiments, quality parameters, skin color, flesh firmness, SSC, and TA were estimated on two fruits per tree at harvest (eight fruits per block and treatment in Expt. 1 and 10 fruits per block in the other three experiments) as described previously. In addition, the following analyses were conducted only in Expt. 1 on another two fruits per tree:

  1. Total anthocyanins were determined by pH-differential spectrophotometry (Wrolstad, 1993) using a Cary 50 Bio spectrophotometer (Varian Inc., Australia). For extraction of anthocyanins, 1.00 g of powdered lyophilized apple flesh was added to 20 mL 70% ethanol with 10 mm HCl in a 50-mL plastic tube and placed in a ultrasonic bath (Bandelin Sonorex, 35 kHz) for 15 min followed by extraction overnight, in dark, at 4 °C on an orbital shaker (Forma Sci, Canada). Two samples of this extract, each 1000 μL, were placed into two different 10-mL volumetric flasks and diluted to volume with buffers at pH 1.0 and pH 4.5, respectively. The absorbance was measured at wavelength 510 nm using the molar absorptivity for cyanidin-3-glycoside (26900 L·mol−1·cm−1). Content of total anthocyanins was calculated according to Wrolstad (1993) and results expressed as mg·kg−1 dry weight.

  2. Total phenolics were determined with the Folin–Ciocalteau method as modified by Dewanto et al. (2002). One gram of lyophilized and milled apple flesh was extracted in 20 mL 70% ethanol overnight on an orbital shaker (Forma Sci) at 4 °C. Fifty microliters of this extract, 100 μL high-purity water, 18.2 MΩ (Millipore Simplicity, France), and 100 μL Folin-Ciocalteau phenol reagent (BDH, U.K.) were added into a cuvette, mixed, and held for 6 min at room temperature. A volume of 1000 μL of 0.66 M Na2CO3 was added and the mixture held for 75 min at room temperature. The absorbance was measured at 765 nm using a Cary 50 Bio spectrophotometer (Varian Inc.). Content of total phenolics was calculated from a standard curve of gallic acid, (3,4,5-trihydroxybenzoic acid) (Sigma-Aldrich, Germany) and results expressed as gallic acid equivalents on a dry weight basis, g·kg−1.

  3. Contents of vitamin C, ascorbic acid, and dehydroascorbic acid were determined in apple flesh. Analyses were performed under dim green light. A total of 4 g apple flesh was placed in a plastic bottle together with 20 mL of meta-phosphoric acid (1.5%) and homogenized with an Ultra Turrax apparatus (Model TP1810; IKA Werke GmbH, Staufen, Germany) for 1 min. Samples were stored in the freezer (Labconco 77545; Mezory) at –80 °C before high-performance liquid chromatography (HPLC) analysis. Before HPLC analysis, the samples were thawed in lukewarm water and centrifuged for 8 min at 12,900 g, after which 5 mL of each supernatant was filtered through a Sep-pak Plus C18 cartridge (Waters, Milford, MA) previously conditioned with 5 mL of methanol and 10 mL of water. The first 4 mL of each sample was discarded, and the remaining 1 mL was collected in a microcentrifuge. An aliquot of the collected extract was used for HPLC analysis, as described below. The dehydroascorbic acid concentration was calculated by subtracting the ascorbic acid concentration from the total vitamin C concentration obtained after a reduction procedure. For this procedure, an aliquot of the extract was added to a 1% dithiothreitol solution and allowed to react for 30 min at pH 7.0, where the pH was adjusted with K2HPO4 1 M before HPLC analysis. Samples were analyzed on an Agilent 1100 series (Agilent Technologies, Waldbronn, Germany) HPLC using an isocratic gradient with a flow rate of 1.2 mL·min−1. The mobile phase consisted of 25% NH4H2PO4 (15 mm) and 75% acetonitrile with the pH adjusted to 3.9. A 20-μL portion was injected from each sample. A Waters carbohydrate analysis column, 300 × 3.9 mm with a particle size of 10 μm, was used. Absorbance was measured at 248 nm using a photodiode array detector. Samples were quantified using an external ascorbic acid standard (Merck, Darmstadt, Germany) with 98% recovery. The concentrations were expressed as vitamin C on a dry weight basis, mg·kg−1.

Analysis of fruit storage potential.

Fruit storage potential was estimated according to the maintenance of quality and the occurrence of physiological disorders (soft scald, flesh browning, and internal breakdown) and storage rots (bitter rot, Colletotrichum spp., and bull’s eye rot, Neofabraea spp.) during storage. Because fruit may develop an undesirable “mealy” texture when kept at room temperature for daily home consumption or by small-scale distributors and retailers (Varela et al., 2005), fruit quality must be properly assessed after keeping at ambient conditions (room temperature). Therefore, in all experiments, fruits were held after storage in a plastic chamber at 18 ± 2 °C and 80% RH for 1 week (shelf life) before evaluation of quality and storage potential. Quality parameters were determined as done at harvest, and disorders and decay were determined according to Sandskär (2005) and estimated as percentage damaged fruit.

Statistical analyses.

Data were subjected to arsine and square root transformation before analyses of variance (ANOVA) to improve normality of data. For Expt. 1, all data were analyzed with a mixed-model ANOVA with years (2008 to 2010), treatments (management with pruning and groundcover and standard practice, respectively) and their interactions as fixed effects for light transmission, yield, fruit quality parameters at harvest and after storage, anthocyanin content, total phenolic concentration, ascorbic acid content, and storage decay. For Expt. 2, treatments were replaced with harvesting date (4 weeks of harvesting) in a mixed-model ANOVA. Pearson correlation coefficients were calculated to reveal the relationship between harvesting date and changes in maturity indices. For Expt. 3, data were analyzed with a one-way ANOVA followed by Tukey’s Studentized range test. For Expt. 4, treatments were replaced by storage methods (air, CA, ULO) in a mixed-model ANOVA. Least significant difference values (P ≤ 0.05, 0.01, and 0.001) were calculated for comparison of means. All analyses were carried out with the SAS statistical program package (SAS Inst. Inc., Cary, NC).

Results

Expt. 1: Effects of summer pruning and reflective mulch.

The summer pruning and reflective mulch (SPRM) management model increased light transmission in the trees (P ≤ 0.001) of all six cultivars (Fig. 1A). There was no significant interaction between the effects of year and management in any of the cultivars. SPRM increased the cumulative yield over the three years in five of the cultivars (P ≤ 0.001; Fig. 1B), and improved skin coloration in all of them (P ≤ 0.001; Fig. 1C). The other quality parameters evaluated at harvest such as fruit weight, firmness, SSC, and TA were not significantly affected by the management practices.

Fig. 1.
Fig. 1.

(A) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the light transmission (values are means of two years, three replicates of six measurements each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. (B) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the cumulative yield during three years (values are means of three replicates of four trees each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. Tree age was nine years at start. (C) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on fruit color (values are means of three years, three replicates of four trees and eight fruits each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for fruit color could not be found in any cultivar. Fruit color expressed as hue angle, H°.

Citation: HortScience horts 48, 1; 10.21273/HORTSCI.48.1.92

When analyzed after storage and shelf life, SPRM produced less fruit softening in ‘Dayton’, ‘Sultanat’, and ‘Zarya Alatau’ (10% to 15%); less TA decline in all cultivars except ‘Zarya Alatau’ (8% to 16%); and a better SSC development in three cultivars, ‘Delorina’, ‘Sultanat’, and ‘Zarya Alatau’ (5% to 17%), when compared with fruits grown with the standard management (P ≤ 0.001; Table 1). Neofabraea spp. was the most common pathogen, causing 3.0% to 7.0% damage. Fruit from trees in the applied management showed less damage (P ≤ 0.001) from this pathogen in all cultivars except ‘Ella’ (Table 1). These fruits also had a higher anthocyanin content in all cultivars (P ≤ 0.001; Table 2), a higher total phenolic content (25%, 28%, 29%, and 39% in ‘Dayton’, ‘Sultanat’, ‘Zarya Alatau’, and ‘Ella’, respectively), and a 13% to 15% higher ascorbic acid content in ‘Delorina’, ‘Ella’, and ‘Santana’ (P ≤ 0.001; Table 2). Significant interactions between year and management were not found in any of the cultivars for anthocyanin or ascorbic acid and only in ‘Delorina’ (P ≤ 0.001) and ‘Sultanat’ (P ≤ 0.05) for total phenolics (Table 2).

Table 1.

Effect of SPRM (summer pruning and covering the orchard floor with reflective mulch) on fruit quality and storage life of six apple cultivars grown in an organic orchard and stored in air for four months.z

Table 1.
Table 2.

Effects of SPRM (summer pruning and covering the orchard floor with reflective mulch) on antioxidant contents (anthocyanins, total phenolics, and ascorbic acid) at harvest in six apple cultivars grown in an organic orchard.z

Table 2.

Expt. 2: Determination of optimal harvest date.

In all three years, ethylene production increased during the selected 4 weeks around the optimal harvest date, and the cultivars were well differentiated. Early-ripening cultivars showed a faster increasing ethylene production in comparison with fall- or late-ripening cultivars. When calculated as weekly averages (three picking times a week), the autocatalytic ethylene production remained at a threshold of 0.1 μL·L−1·kg−1·h−1 for 1 week in ‘Agra’, ‘Eir’, and ‘Ella’ and for 2 weeks in the other five cultivars (P ≤ 0.001; Table 3). A significant increase in internal ethylene production (IEC) occurred in the third harvesting week in ‘Agra’, ‘Eir’, ‘Ella’, and ‘Delorina’ and in the fourth harvesting week in ‘Dayton’, ‘Santana’, ‘Sultanat’, and ‘Zarya Alatau’ (P ≤ 0.001; Table 3). This rapid change took place toward the end of the critical week in 2008 and 2010 but 5 d earlier in 2009. Interaction between the effects of year and harvesting week for IEC was found only in two cultivars (P ≤ 0.05): the early-ripening ‘Eir’ and the late-ripening ‘Sultanat’ (Table 3).

Table 3.

Changes in three harvesting parameters during maturation for eight apple cultivars grown in an organic orchard.z

Table 3.

A significant change in starch hydrolysis, calculated as weekly averages (three picking times a week), occurred in the last week of the harvesting period for ‘Dayton’, ‘Santana’, and ‘Sultanat’ (P ≤ 0.001; Table 3). In ‘Zarya Alatau’ and the more early-ripening cultivars (‘Agra’, ‘Eir’, and ‘Ella’), starch hydrolysis showed two peaks, one in the second week and another in the last week of the harvesting period (P ≤ 0.001; Table 3). Interaction between year and harvesting week for starch hydrolysis was found in ‘Eir’ (P ≤ 0.001), ‘Delorina’ (P ≤ 0.05), and ‘Sultanat’ (P ≤ 0.001); in 2009, the major change in starch index occurred 5 d earlier than in 2008 and 2010.

Fruit firmness decreased during the harvesting period, and in all three years, maximum reduction occurred in the last week in conjunction with or particularly after the significant rise in IEC and starch hydrolysis (P ≤ 0.001; Table 4). An interaction between harvesting date and season was found in ‘Eir’ (P ≤ 0.01) and ‘Sultanat’ (P ≤ 0.001). SSC increased significantly during the harvesting period in all cultivars except ‘Zarya Alatau’. This increase took place during 1 week for ‘Agra’, ‘Ella’, ‘Dayton’, ‘Delorina’, and ‘Sultanat’ and during 2 weeks for ‘Eir’ and ‘Santana’, regardless of the production year (P ≤ 0.001; Table 4). Again, a significant (P ≤ 0.01) interaction was noted only for ‘Eir’ and ‘Sultanat’. Reduction in TA was most pronounced in the second week (‘Agra’, ‘Ella’, ‘Santana’, ‘Sultanat’, and ‘Zarya Alatau’) or the third week (‘Eir’, ‘Dayton’, and ‘Delorina’) (P ≤ 0.001), again with interaction effects for ‘Eir’ (P ≤ 0.05) and ‘Sultanat’ (P < 0.000). The Streif index decreased in the first and last weeks of the harvesting period and remained steady in the 2 intermediate weeks for all cultivars (P ≤ 0.001; Table 4). A significant interaction between harvesting date and season for Streif index was found in ‘Eir’ (P ≤ 0.01), ‘Delorina’, and ‘Sultanat’ (both P ≤ 0.001).

Table 4.

Development of fruit quality during maturation, evaluated as firmness, soluble solids content (SSC), titratable acid (TA), and hue angle (H°; skin color) for eight apple cultivars grown in an organic orchard.z

Table 4.

Occurrence of fruit decay during storage in air as well as maintenance of fruit quality is associated with ethylene production. In all three years, fruit picked after a significant increase in IEC showed higher decay in comparison with fruit picked before this increase (P ≤ 0.001), except for the cultivar Dayton (Fig. 2). Firmness, SSC, and TA of fruit, picked before the IEC increase, also remained more stable compared with fruits picked 2 weeks before or after this increase (P ≤ 0.001; Table 5). An interaction between the effects of season and harvesting date was found in ‘Eir’ and ‘Sultanat’ for softening, SSC development, and TA decline and in ‘Agra’, ‘Ella’, ‘Delorina’, and ‘Zarya Alatau’ for storage decay (P ≤ 0.05).

Fig. 2.
Fig. 2.

The incidence of fungal decay of different cultivars grown in an organic orchard and picked at different dates. Percentage fruit that had decayed as a result of fungi during cold storage in air for four months is indicated on the y-axis. Values are means of three years with three replicates of 40 fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. Significant interactions (P ≤ 0.05) were found between season and harvesting date for decay in ‘Agra’, ‘Ella’, ‘Delorina’, and ‘Zarya Alatau’.

Citation: HortScience horts 48, 1; 10.21273/HORTSCI.48.1.92

Table 5.

Changes in fruit quality during storage in air for four months, for eight apple cultivars grown in an organic orchard and picked at different times.z

Table 5.

Ethylene production was positively correlated with starch hydrolysis and the Streif index during ripening in all eight cultivars, and negatively correlated with fruit firmness and TA (Table 6). Correlations between ethylene production and SSC were significant in ‘Eir’, ‘Agra’, ‘Santana’, ‘Zarya Alatau’, and ‘Dayton’. All these correlations were found in each of the three years.

Table 6.

Pearson correlation between IEC (ethylene production, μL·L−1·kg−1·h−1) and starch conversion score (1–10), firmness (kg·cm−2), soluble solids content (SSC; g/100 mL), titratable acidity (TA; in percent), and Streif index in eight apple cultivars grown in an organic orchard.

Table 6.

Expt. 3: Post-harvest treatment with heating and ethanol.

Dipping fruit in hot water (46 °C for 120 s) decreased decay caused by Colletotrichum and Neofabraea during storage (P ≤ 0.001) in two cultivars, Dayton and Eir, whereas no effect was detected on fruit of ‘Agra’ and ‘Sultanat’ (Fig. 3). Post-harvest spraying fruits with 10% ethanol was even more efficient and decreased the incidence of storage decay (P ≤ 0.001) in ‘Dayton’, ‘Sultanat’, ‘Eir’, and ‘Agra’ (Fig. 3). This positive effect was found in both years, and there was no significant interaction between year and treatment for any of the cultivars.

Fig. 3.
Fig. 3.

Effect of postharvest treatments on the incidence of fungal decay. Values are means of two years with three replicates of five trees and eight fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. No interaction between season and treatment for fungal decay was found.

Citation: HortScience horts 48, 1; 10.21273/HORTSCI.48.1.92

Expt. 4: Storage methods.

CA storage (2.0 O2 kPa and 2.0 kPa CO2) had a positive effect on fruit firmness and TA in all of the studied cultivars (P ≤ 0.001) except ‘Eir’ (Table 7). By contrast, SSC showed a positive response to CA only in ‘Agra’ and ‘Dayton’ (P ≤ 0.001; Table 7). Because no storage disorders (except flesh browning in ULO 2 for ‘Delorina’ and ‘Zarya Alatau’) were noted during the three seasons, storage decay was restricted to fungal decay caused by Colletotrichum and Neofabraea. The amount of storage decay decreased as a result of CA storage in all cultivars in comparison with storage in air (P ≤ 0.001; Table 7). The positive effect of CA on fruit storability was found in all three years despite significant interactions between storage method and year in ‘Eir’ and ‘Dayton’ (P ≤ 0.01) and in ‘Delorina’ and ‘Sultanat’ (P ≤ 0.001).

Table 7.

Storage potential of eight apple cultivars grown in an organic orchard, evaluated as percentage of decayed fruit, softening, development of soluble solids content (SSC), and decline in titratable acid (TA) during storage with three different methods.z

Table 7.

ULO, whether 1.0 kPa or 2.0 kPa CO2, helped to stabilize SSC in ‘Agra’, ‘Dayton’, and ‘Zarya Alatau’ and TA in ‘Agra’, ‘Eir’, ‘Ella’, ‘Dayton’, and ‘Santana’ (P ≤ 0.001; Table 7). In ‘Zarya Alatau’, taste (acid:SSC ratio) was maintained better when stored in 1.0 kPa O2 and 2.0 kPa CO2, whereas ‘Dayton’, ‘Santana’, and ‘Sultanat’ instead maintained taste better in 2.0 kPa O2 and 2.0 kPa CO2 (Table 7). ‘Agra’, ‘Delorina’, and ‘Sultanat’ apples stored in ULO with 2.0 kPa CO2 showed higher firmness in comparison with fruits stored in CA (P ≤ 0.001; Table 7). Amount of fungal decay decreased in ‘Dayton’ and ‘Zarya Alatau’ in all three years and in two of the years in ‘Santana’ and ‘Sultanat’ when the fruit was stored in ULO instead of CA (P ≤ 0.001; Table 7). However, the higher CO2 caused skin injury and flesh browning in ‘Zarya Alatau’ and ‘Delorina’ apples (data not shown).

Discussion

Orchard management.

The SPRM management increased light availability in July and August in all six studied cultivars. This management also resulted in a significantly higher yield in five of the cultivars compared with the standard practice but did not affect fruit size.

Because summer pruning involves the removal of weak shoots and leaves with low photosynthesis and high respiration rate, it is likely to affect the leaf:fruit ratio and carbohydrate partitioning positively, thus adjusting cropload and improving fruit quality (Awad et al., 2001; Tahir et al., 2008). We did, however, not see any significant differences between SPRM and the control in SSC and TA at harvest, but there was significantly less decline in these parameters in fruit grown with SPRM when analyzed after storage.

Application of SPRM has also been shown to increase fruit coloration (Glenn and Puterka, 2007; Li et al., 2003), which in its turn is linked to an increased anthocyanin content (Sadilova et al., 2006). In our study, both anthocyanin and total phenolic content were higher in fruit produced with SPRM. In a previous study, the sun-exposed side of the fruit contained more wax than the shaded side (Tahir et al., 2009). Possibly both flavonoid content and wax accumulation as well as the retaining of firmness during storage may provide some physical protection or improved defense against pathogens as evidenced by the lower rate of fungal damage in fruit grown with SPRM.

Choice of harvesting date.

Choice of an optimum harvesting date can help to maximize fruit quality and minimize storage disorders in organic apple production (Echeverría et al., 2002). Fruit storability is closely associated with the climacteric patterns of ethylene production (Elgar et al., 1998). Because the accelerated production of ethylene is one of the most important changes in apples as they begin to ripen, it can be used as an accurate indicator for determination of the optimum harvesting date (Genard and Gouble, 2005; Sanders and de Wild, 2003). Harvesting should be conducted in the pre-climacteric period, when no significant quantities of ethylene have yet been produced or, at least, before half of the fruits have reached the threshold level of autocatalytic ethylene production (0.1 μL·L−1·kg−1·h−1) (Bulens et al., 2010). Our results similarly indicated that all of the eight investigated cultivars should be harvested when no more than a maximum of 50% of the fruit has started to produce ethylene to avoid storage decay and maintain quality. However, early-ripening cultivars showed rapid acceleration in IEC and had a short harvesting period and limited storage life. The IEC in ‘Agra’, ‘Eir’, and ‘Ella’ thus remained at the threshold level for only 1 week compared with 2 weeks in the other five cultivars.

For practical reasons, a more commonly used method for determination of optimum harvesting date is the starch hydrolysis, i.e., the degradation of starch per interval of time (Peirs et al., 2004). This remained stable overall three years, and was in very close agreement (for ‘Agra’, ‘Santana’, and ‘Sultanat’) or close agreement (for ‘Dayton’, ‘Ella’, and ‘Zarya Alatau’) with the increase in ethylene production. Fruits picked before a significant change in starch hydrolysis showed overall very good storability. According to the barely significant correlation (P ≤ 0.05) between IEC and starch conversion score for ‘Eir’ and ‘Delorina’, the latter cannot be used as a maturity index in these two cultivars, confirming previous data showing that starch conversion has a somewhat limited value as a maturation index (Peirs et al., 2004).

The Streif index, which makes use of three parameters: fruit firmness, SSC, and starch hydrolysis (Delong et al., 1999; Streif, 1996), is a commonly used method for determination of harvesting date. In our study, especially ‘Eir’, ‘Delorina’, and ‘Zarya Alatau’, and, to a somewhat lesser extent, ‘Agra’, showed a strong correlation between the Streif index and IEC, indicating that this index is very useful for determination of optimum harvest date in many cultivars.

The rise in ethylene production was closely associated also with fruit firmness and TA and to a lesser extent with SSC. Using these parameters for determination of optimal harvesting date will be less accurate because they are strongly cultivar- and environment-dependent (Willats et al., 2001). As a result of the widely varying weather conditions, it was not possible to obtain estimates of color development that could be used as a maturity index.

Post-harvest treatments.

The protective effects resulting from post-harvest heating of the fruit may derive from enhancement of the wound repair process, inhibition of the synthesis of cell wall hydrolytic enzymes (Ben-Shalom et al., 1996), and changes in apple skin structure (Tahir et al., 2009). Hot water can melt skin wax, fill microwounds, and stimulate wax recrystallization, thus improving the protective ability of the fruit surface (Díaz-Pérez et al., 2001; Fallik, 2006; Roy et al., 1994).

The efficiency of hot water treatment to reduce storage decay appears to be cultivar-specific (Spadaro et al., 2004). According to our present results, this treatment provides only a minor improvement for the four tested cultivars. By contrast, application of ethanol resulted in a significant decrease in fungal decay for all four cultivars, thereby confirming previous reports on how ethanol application can control post-harvest pathogens in mango (Gutiérrez-Alonso et al., 2004; Gutiérrez-Martínez et al., 2012; Plotto et al., 2006), grape (Chervin et al., 2005), and peaches and nectarines (Margosan et al., 1997).

Storage conditions.

The main benefits of CA and ULO are that the storage period can be prolonged; fruit quality is maintained for a longer period and fewer problems with physiological disorders are encountered (Brackman et al., 1994; Graell et al., 1997; López et al., 2000). Our results similarly indicate that CA storage is very beneficial for retaining quality of organic fruit with a large improvement especially in firmness and TA. Even more pronounced effects were obtained for incidence of fungal decay, which was significantly lower in CA-stored fruit of all cultivars compared with fruit in regular air storage. Storage of these cultivars in a different range of pCO2 achieved slight additional improvements in some cultivars, but high CO2 can also increase disorders. Thus, ULO 1 (1.0 kPa O2 and 1.0 kPa CO2) decreased fungal decay and improved taste in ‘Zarya Alatau’, whereas ULO 2 (1.0 kPa O2 and 2.0 kPa CO2) caused flesh browning in this cultivar. Fruits of ‘Dayton’ and ‘Sultanat’ responded well to ULO 2 because storage decay decreased and taste improved in comparison with ULO 1 and CA. ULO 2 also decreased storage decay in ‘Santana’. In conclusion, CA (2.0 kPa O2 and 2.0 kPa CO2) can be recommended for ‘Agra’, ‘Eir’, ‘Ella’, and ‘Delorina’; ULO 1 for ‘Zarya Alatau’; and ULO 2 for ‘Dayton’, ‘Santana’, and ‘Sultanat’.

Conclusions

Orchard floor management in combination with summer pruning improved fruit color and flavonoid content in all investigated cultivars. This practice also increased yield and improved fruit storability in all cultivars except ‘Ella’. Organically grown summer apples showed poor storage potential, whereas late-ripening cultivars such as ‘Sultanat’ and ‘Dayton’ had good resistance to fungal incidence. Starch hydrolysis can be used as a maturity index for some organically grown cultivars (‘Agra’, ‘Santana’, and ‘Sultanat’), whereas the Streif index would be preferable for other cultivars (‘Eir’, ‘Delorina’, and ‘Zarya Alatau’). Ethanol appears promising as a natural product for protection against storage decay. Carefully tailored ULO storage conditions can improve the storage potential substantially.

Literature Cited

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  • (A) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the light transmission (values are means of two years, three replicates of six measurements each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. (B) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the cumulative yield during three years (values are means of three replicates of four trees each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. Tree age was nine years at start. (C) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on fruit color (values are means of three years, three replicates of four trees and eight fruits each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for fruit color could not be found in any cultivar. Fruit color expressed as hue angle, H°.

  • The incidence of fungal decay of different cultivars grown in an organic orchard and picked at different dates. Percentage fruit that had decayed as a result of fungi during cold storage in air for four months is indicated on the y-axis. Values are means of three years with three replicates of 40 fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. Significant interactions (P ≤ 0.05) were found between season and harvesting date for decay in ‘Agra’, ‘Ella’, ‘Delorina’, and ‘Zarya Alatau’.

  • Effect of postharvest treatments on the incidence of fungal decay. Values are means of two years with three replicates of five trees and eight fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. No interaction between season and treatment for fungal decay was found.

  • Ascard, J., Håkansson, B., Hansson, A., Stridh, H. & Söderlind, M. 2010 Cost price calculations for organically and conventionally grown apples in Sweden. <http://www.ecofruit.net/2010/46_RP_J_Ascard_B_Hakansson_A_Hansson_et_al_S304bis312.pdf>

  • Awad, M.A., De Jager, A., Dekker, M. & Jongen, W.M.F. 2001 Formation of flavonoids and chlorogenic acid in apples as affected by crop load Sci. Hort. 91 227 237

    • Search Google Scholar
    • Export Citation
  • Ben Shalom, N., Hanzon, J., Pinto, R. & Lurie, S. 1996 Cell wall changes and partial prevention of fruit softening in prestorage heat treated ‘Anna’ apples J. Sci. Food Agr. 72 231 234

    • Search Google Scholar
    • Export Citation
  • Blanke, M. 2008 Alternatives to reflective mulch cloth (Extenday™) for apple under hail net? Sci. Hort. 116 223 226

  • Brackman, A., Streif, J. & Bangerth, F. 1994 Influence of CA and ULO storage conditions on quality parameters and ripening of preclimacteric and climacteric harvested apples Gartenbauwissenschaft 59 252 257

    • Search Google Scholar
    • Export Citation
  • Bulens, I., Van de Poel, B., Hertog, M.L.A.T.M., Geeraerd, A.H. & Nicolaï, B.M. 2010 Modeling of ethylene biosynthesis during ripening and CA storage of ‘Jonagold’ apples Acta Hort. 876 85 90

    • Search Google Scholar
    • Export Citation
  • Chervina, Ch., Westercampb, P. & Monteilsb, G. 2005 Ethanol vapours limit Botrytis development over the postharvest life of table grapes Postharvest Biol. Technol. 36 319 322

    • Search Google Scholar
    • Export Citation
  • Conway, W.S., Leverentz, B., Janisiewicz, W.J., Blodgett, A.B., Saftner, R.A. & Camp, M.J. 2004 Integrating heat treatment, biocontrol and sodium bicarbonate to reduce postharvest decay of apple caused by Colletotrichum acutatum and Penicillium expansum Postharvest Biol. Technol. 34 11 20

    • Search Google Scholar
    • Export Citation
  • de Castro, E., Biasi, W.V. & Mitcham, E.J. 2007 Quality of Pink Lady apples in relation to maturity at harvest, prestorage treatments, and controlled atmosphere during storage HortScience 42 605 610

    • Search Google Scholar
    • Export Citation
  • Delate, K., McKern, A., Turnbull, R., Walker, J., Volz, R., White, A., Bus, V., Rogers, D., Cole, L., How, N., Guernsey, S. & Johnston, J. 2003 Organic apple systems: Constraints and opportunities for producers in local and global markets: Introduction to the colloquium HortScience 43 6 11

    • Search Google Scholar
    • Export Citation
  • Delong, J.M., Prange, R.K., Harrison, P.A., Schofield, R.A. & DeEll, J.R. 1999 Using the Streif index as a final harvest window for controlled-atmosphere storage of apples HortScience 4 1251 1255

    • Search Google Scholar
    • Export Citation
  • Delong, J.M., Prange, R.K., Schotsmans, W.C., Nichols, D.S. & Harrison, P.A. 2009 Determination of the optimal pre-storage delayed cooling regime to control disorders and maintain quality in ‘Honeycrisp’™ apples J. Hort. Sci. Biotechnol. 84 410 414

    • Search Google Scholar
    • Export Citation
  • Dewanto, V., Wu, X.Z., Adom, K.K. & Liu, R.H. 2002 Thermal processing enhances the nutritional value of tomatoes by increasing total antioxidant activity J. Agr. Food Chem. 50 3010 3014

    • Search Google Scholar
    • Export Citation
  • Díaz-Pérez, J.C., Mejía, A., Bautista, S., Zavaleta, R., Villanueva, R. & López-Gómez, R. 2001 Response of sapote mamey [Pouteria sapota (Jacq.) H.E. Moore & Stearn] fruit to hot water treatments Postharvest Biol. Technol. 22 159 167

    • Search Google Scholar
    • Export Citation
  • Echeverría, G., Graell, J. & López, M.L. 2002 Effect of harvest date and storage conditions on quality and aroma production of ‘Fuji’ apples Food Sci. Technol. Int. 8 351 360

    • Search Google Scholar
    • Export Citation
  • Elgar, H.J., Burmeister, D.M. & Watkins, C.B. 1998 Storage and handling effects on a CO2-related internal browning disorder of ‘Braeburn’ apples HortScience 33 719 722

    • Search Google Scholar
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Ibrahim I. Tahir Department of Plant Breeding and Biotechnology, Swedish University of Agricultural Sciences, P.O. Box 104, 230 53 Alnarp, Sweden

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Hilde Nybom Department of Plant Breeding and Biotechnology–Balsgård, Swedish University of Agricultural Sciences, Fjälkestadsvägen 459, 291 94 Kristianstad, Sweden

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Contributor Notes

Financial support was received for this study from SLU EkoForsk.

To whom reprint requests should be addressed; e-mail ibrahim.tahir@slu.se.

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  • (A) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the light transmission (values are means of two years, three replicates of six measurements each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. (B) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on the cumulative yield during three years (values are means of three replicates of four trees each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for light transmission could not be found in any cultivar. Tree age was nine years at start. (C) Effect of SPRM (summer pruning in July and covering orchard floor by reflective mulch) on fruit color (values are means of three years, three replicates of four trees and eight fruits each). Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. A significant interaction (P ≤ 0.05) between the effects of season and management model for fruit color could not be found in any cultivar. Fruit color expressed as hue angle, H°.

  • The incidence of fungal decay of different cultivars grown in an organic orchard and picked at different dates. Percentage fruit that had decayed as a result of fungi during cold storage in air for four months is indicated on the y-axis. Values are means of three years with three replicates of 40 fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. Significant interactions (P ≤ 0.05) were found between season and harvesting date for decay in ‘Agra’, ‘Ella’, ‘Delorina’, and ‘Zarya Alatau’.

  • Effect of postharvest treatments on the incidence of fungal decay. Values are means of two years with three replicates of five trees and eight fruits each. Within each cultivar, bars with the same letter are not statistically different at P ≤ 0.001. No interaction between season and treatment for fungal decay was found.

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