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Article

Effects of Damaged Levels and Pruning of Peach and Japanese Apricot Trees by Hailstorms on the Performance

1
Fruit Research Institute, Jeollanam-do Agricultural Research & Extension Services, Hae-nam 59021, Korea
2
Department of Horticultural Sciences, Texas A&M University AgriLife Extension, College Station, TX 77843, USA
3
Department of Horticulture, Daegu Catholic University, Gyeongsan-si 38430, Korea
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(11), 2178; https://doi.org/10.3390/agronomy11112178
Submission received: 19 August 2021 / Revised: 9 October 2021 / Accepted: 26 October 2021 / Published: 28 October 2021

Abstract

:
Defoliation (DF) on peach (Prunus persica L.) and Japanese apricot (Prunus mume Sieb. et Zucc.) trees caused by a hailstorm in 2017, year 1, was investigated for its effects on growth and fruit yield in South Korea over four years, comparing with recovery effects of the DF trees treated with repeated immediate pruning (IP) right after the storm. Treatments included 0–10, 10–40, 40–70, and 70–100% of DF trees, with 0–10, 10–40, 40–70, and 70–100% of DF + IP trees. The hailstorms increased the damages to shoots for peaches and to shoots and scaffold for Japanese apricot trees in year 1, with fruit yield reduced more than 80% observed on 10–100 DF of both fruit species. The IP treatment increased the number of new shoots in years 2–4 but reduced shoot length and diameter of peach and Japanese apricot trees. Tree canopy in years 2–4 was reduced on 40–100 DF of peach trees and on 70–100 of DF and DF + IP of Japanese apricot trees. The 40–100 DF Japanese apricot trees resulted in a fruit yield index of less than 90% for years 2–4, which was observed on 40–100 DF+IP trees only in year 2 due to balanced tree vegetative and reproductive growth.

1. Introduction

White-fleshed peach (Prunus persica L.) fruits contain less acidity, taste sweeter, and have a unique flavor, which generated the highest net profit margin at 8.3% from the years 1980 to 2018 amongst the 17 primary fruit and vegetable crops in South Korea [1]. Japanese apricot (Prunus mume Sieb. et Zucc.) trees are commonly grown as landscape plants in S. Korea and many other Asian countries. Japanese apricot is also a popular summer fruit due to its high antioxidant contents for health benefits and is used for processed food [2,3]. The trees mostly grow well at annual average temperatures higher than 11 °C and are grown extensively in arable temperate regions in S. Korea despite temperature rising from climate change [3,4]. However, this area is subjected to late freezes accompanied by hailstorms early in the growing season as peach and Japanese apricot are some of the least cold-resistant stone fruits [2,3,4,5,6] as well as frost-yuzu trees [7].
Hailstones are referred to as solid precipitation with a diameter of 5.0 mm or greater and irregular shapes forming from the freezing of supercooled liquid water in strong updraft winds [8]. This created considerable impacts on early flowering fruit species, such as stone fruits, and they are mostly harvested between June and August [4,6]. Hail may cause damage to leaves, stems, and flowers, and defects of bruising and deep deformation of the fruits, which could become potential infection sites for fruit bacterial diseases [9]. The recent frequent hailstorms are particularly impactful for Japanese apricot trees with a weak mechanical framework, open-center form, and weak recovery of the wounded tissues and mechanical stress [10,11]. There are few published papers focusing on functional characteristics of the canned and dried fruit of the Japanese apricot trees and no papers on mechanical stress physiology.
Hail nets are typically used in orchards to prevent hailstone damage, but the effect is inconsistent, causing difficulty to maintain fruit productivity [9,12,13]. Pruning is typically employed to retrain damaged trees and reduce strong regrowth of vegetative shoots after hail events but could result in the slow recovery of tree growth and fruit yield depending on the timing and type of pruning [14] or alternate bearing and significant economic loss [15], with no scientific information available across the entire Prunus genus. Stone fruit growth was related to the 30-day temperature after full bloom due to the limited resources and should be pruned earlier to increase fruit size [16]. Therefore, it is critical to evaluate fruit trees right after a hailstorm since the levels of damage can soon be obscured by subsequent growth that is responsible for the flower bud formation and sustainable fruit production in the following years.
Peach and Japanese apricot trees defoliated (DF) from a hailstorm event in 2017 were investigated on growth and fruit yield over four years (2017–2020), comparing with the recovery effects of immediate pruning (IP).

2. Materials and Methods

2.1. Orchard Layout

Twelve-year-old ‘Gyeongbong’ peach (Prunus persica L.) and ‘Chunmae’ Japanese apricot (P. mume Sieb. et Zucc.) trees were grown with a density of 5 m × 5 m and 5 m × 4 m, respectively, at a private orchard in Suncheon, South Korea (35° N, 128° E) in the year 2017. The monthly average temperature, minimum average temperature, and amount of precipitation from January to May were presented in Figure 1 [17]. Irrigation had not been installed on the ground surface in the orchard. All trees were pruned to maintain an open center shape with three or four primary scaffold branches, widely used for Prunus trees in S. Korea. The soil type between 0–30 cm depth of the root zone was mainly sandy loam.
The experimental plots had been naturally managed with perennial cover crops on the orchard floor, which were annually mown three to four times to reduce competition of water and mineral nutrients between trees and the cover crops. Oil cake (4.6% T-N, 1.4% P, 1.0% K, organic matter 70%, Chamjoa, Farmhannong Co., Seoul, Korea), an organic fertilizer, had been applied as a basal fertilizer, with an additional chemical soluble fertilizer applied according to the mineral nutrient requirements of each fruit tree species [18]. Flowering dates of peach trees were between 5–7 April from 2017 to 2020 and for Japanese apricot trees between 19–22 March. Peach fruits were harvested between 20–28 July from 2017 to 2020, and between 2–10 June for Japanese apricot fruits.

2.2. Treatment

Hailstorms with hailstones ranging from 0.5 to 5.0 cm in diameter occurred on 31 May 2017 at approximately 20° of the slope of the orchard. The damaged fruit trees were categorized into four groups, 0–10% of defoliation (0–10 DF), 10–40% DF (10–40 DF), 40–70% DF (40–70 DF), and 70–100% DF (70–100 DF) on each tree species based on the hail damage levels in forest stands [19]. 0–10, 10–40, 40–70, and 70–100 of DF on each tree species were mostly observed at 200–250 m altitude, 300–350 m altitude, 400–450 m altitude, and 500–550 m altitude, respectively. Foliar applications of fungicide were then made to the wound area on the damaged trees once with trifloxystrobin (A+, Farmhannong Co., Seoul, Korea) in early June and with thidiazuron (Delan, Samgong Co., Seoul, Korea) in mid-June, 2017. The regional average temperature and the amount of precipitation in 2017 were 18.8 °C and 28.0 mm for May, respectively, and 21.1 °C and 41.8 mm for June, respectively. The average temperature and the amount of precipitation in the last 30 years from 1981 to 2010 were 17.4 °C and 119.8 mm for May, respectively, and 20.8 °C and 91.3 mm for June, respectively [17].
Headings cut as summer pruning was conducted on all the DF trees two months after the hail event in 2017. Half of the DF trees in each category (0–10, 10–40, 40–70, and 70–100) were immediately pruned (IP) with heading and thinning cut on each tree three times, immediately one month and two months after the hail event, categorizing with 0–10 DF + IP, 10–40 DF + IP, 40–70 DF + IP, and 70–100 DF + IP as additional treatment plots. Winter pruning was also performed for both DF and DF + IP trees as part of regular orchard management from the years 2017 to 2020.

2.3. Tree Growth and Yield

Hail-damaged shoot and scaffold branches were evaluated when the xylem tissues were exposed after hailstorms in 2017. The whole number of new shoots, average new shoot length, shoot base diameter, tree canopy (largest width × perpendicular width), and the number of fruits were recorded in early September in each of the four years when shoot growth was stopped.
The whole number of fruits and fresh weight (FW) of each fruit species were measured to calculate the fruit yield index as the ratio of each 10–40, 40–70, 70–100 of DF or DF + IP trees divided by fruit yield of 0–10 DF or DF + IP trees, respectively.

2.4. Statistical Analysis

The experiment was a split-plot design with DF (four levels, 0–10, 10–40, 40–70, 70–100) being the whole plot and IP (two levels, pruned or not pruned) as split-plot. Pruning treatments were randomly assigned to a single-fruit tree experimental unit, and each treatment had three trees (three replications) for each fruit tree species with a similar trunk size. So, for each tree species, there were 24 trees by 4 DF × 2 IP × 3 replications. Data analysis was performed by ANOVA using Minitab Software Version 14.1 (Minitab, Inc., State College, PA, USA). Means were separated by Duncan’s multiple range test (DMRT) at p ≤ 0.05.

3. Results and Discussion

3.1. Hail Damage in Year 1

Seasonal hail events during the last 30 years mostly occurred in spring between March–May and in winter between November–January, with a fewer number of hailstorms observed in the summer and fall seasons in S. Korea [13,17,19] (Figure 2A). The total number of hail days was 15 for the 30 years from 1981 to 2010 and 10 for the 10 years from 2009 to 2018 (Figure 2B). Similarly, the number of hail days also significantly increased in Europe in the last three decades [20]. Severe DF on peach and Japanese apricot trees was very visible at higher elevations (data not presented), possibly due to lower temperatures compared to lower elevations reported in Switzerland over the last four decades [21].
Damage caused by the hailstorms was observed on 0.0%, 56.6%, 75.8%, and 100.0% of all shoots on average, respectively, for 0–10, 10–40, 40–70, and 70–100 peach trees, with extended shoot length observed for 70–100 DF trees (Table 1). The scaffold damage was not considerably visible for 0–70 DF trees. The 0–10 DF on each peach tree produced 25.3 tons per ha, while it was less than 5.0 tons per ha for 10–100 DF trees with very poor marketability. Hail-induced shoot damage was recorded at 0.0%, 86.8%, 95.3%, and 100.0%, respectively, with 0–10, 10–40, 40–70, and 70–100 DF of Japanese apricot trees (Table 1). The 70–100 DF of Japanese apricot trees increased their shoot length similarly shown for peach trees, which was previously reported for increasing secondary growth of shoots in apple trees severely damaged from the hail [13]. Over 80% of damage occurred on primary scaffold branches for 10–100 DF on the Japanese apricot trees. The branches of Japanese apricot trees were not strongly established to support mature fruit load and broke, which did not happen to 10–70 DF of peach trees that developed with dominant scaffold structure [2,3,22]. Fruit yield and marketable fruit were remarkably reduced for all DFs of Japanese apricot trees as observed on the damaged peach trees. In addition to the hail event, a warm and dry condition was prolonged throughout May and June 2017 (Figure 1) and would have considerably affected the deformation of each fruit tree species, which was previously reported for open-center form on a steep slope of about 20% [9,16,19,21,22].

3.2. Subsequent Tree Damage

The number of annual shoots was increased by 0–10 DF + IP, 10–40 DF + IP, and 40–70 DF + IP of peach trees in years 2–4, which was significantly affected by immediate pruning (IP) (Table 2). Higher damaged levels were likely to stimulate shoot formations in year 2 but were not observed in the following years. Shoot length was relatively short for 0–10 DF + IP, 10–40 DF + IP, and 40–70 DF + IP trees in year 2, probably due to many new shoots forming on each tree but did not appear in the following years. Shoot diameter was mostly increased for 0–40 DF and 0–10 DF + IP trees in years 2–4. Increased damaged levels substantially lead to reduced shoot diameter in years 2–4. Previous studies reported that recovery of the shoot growth of peach and apple fruit trees or pine trees was not completely occurred with leaf injury over 50% from hail in the following season due to the reduced synthesis of assimilates from lack of sources [16,23,24].
The number of shoots and shoot length of Japanese apricot trees showed similar trends to the peach trees, responding to the levels of DF and DF + IP in years 2–4 (Table 3). Shoot diameter was significantly reduced in the 0–70 DF + IP trees in years 2 and 3 and slightly reduced in the 70–100 DF + IP trees occurring for the least number of shoots. DF trees with repeated IP in year 1 would have attributed to more formation of vegetative organs, resulting in less available nutrients and carbohydrates partitioned in the existing shoots of the trees based on the previous pruning research of peach trees [22,25,26,27].
The canopy area was greatly expanded in 0–70 DF + IP of peach trees in years 2 and 3 and not clearly showed for treatment effects in year 4 (Table 4). However, in year 3, canopy recovery of the 70–100 DF + IP trees was around 90% of the 0–10 DF trees. A canopy area of less than 13.0 m2 was observed on 70–100 of DF and DF + IP of Japanese apricot trees in year 2 (Table 5) due to significant damage of the scaffold forming the tree frame, and trees in both treatments recovered over 80% in years 3 and 4.
The amount of fruiting was dramatically reduced in 40–100 DF peach trees in years 2 and 3 while mostly recovering in years 2 and 3 but not in year 4 (Table 4), presumably due to the alternate bearing of peaches. The amount of fruiting of Japanese apricot trees showed similar trends to the peach trees, responding to the 40–100 DF and DF + IP in years 2 and 3 (Table 5). Previous research mentioned that continuous warm and dried weather associated with strong storms, as observed in this study, stimulated secondary vegetative growth and reduced water loss, nutrient reserves, mineral nutrients, amino acids, and organic compounds in the existing organs, during the growing season [11,16,21,24,28,29,30]. This would have reduced reproductive growth in the current and following seasons on the severe DF levels of trees.
Fruit yield index in year 2 was considerably reduced to 60.3% for 70–100 of DF of peach trees but was more than 80% on the 40–100 DF + IP trees (Figure 3A,B). The yield index in year 3 also recovered to 81.2% on 70–100 DF trees and 94.3% on 70–100% DF + IP trees. The yield index for all trees recovered to above 90% in year 4. The recovery of the Japanese apricot yield index sharply declined to 53.2% for 70–100 DF trees in year 2 and to 73.7% in year 3, with 66.0% in year 2 and 89.3% in year 3 observed on 70–100 DF+IP trees (Figure 4A,B). Larger hailstones within the updraft winds descended at least 140 m/s to the ground without melting as bearing thunderstorms and strong winds [8,28], which would considerably affect the weak frame of severe DF trees, Japanese apricot trees. The 40–100 DF trees were observed on the recovery lower than 90.0% in year 4 compared to 40–100 DF + IP trees.

4. Conclusions

Hail is not a frequent abiotic stress but has increased in the weather events documented in Europe, the USA, and many Asian countries, including S. Korea since the year 2000. It has often been reported in the last ten years on steep hillsides, commonly planted in S. Korean orchards, but the damage levels on stone fruit tree performance in the following seasons has not been scientifically reported on. In summary, Japanese apricot trees that responded to DF levels showed comparably decreased vegetative growth compared to those of the peach trees in year 1, which would continuously have reduced canopy area and fruit productivity in years 2 and 3. The IP treatment was not recommended for peach trees but for Japanese apricot trees as mostly removing strong apical dominance and advancing tree recovery in the following season of the hailstorm through balanced tree vegetative and reproductive growth. However, there were study limitations for understanding the physiological responses of the trees to provide best management practices, which should be needed to increase sample size and experimental areas with the long-term seasons.

Author Contributions

Conceptualization, B.-S.K.; Data curation, H.-S.C. (Hye-Sung Cho) and H.-J.K.; Formal analysis, H.-S.C. (Hye-Sung Cho), K.-C.C., H.-J.K. and B.-B.L.; Funding acquisition, B.-S.K.; Investigation, K.-C.C., H.-J.K. and B.-B.L.; Methodology, H.-S.C. (Hyun-Sug Choi); Project administration, B.-S.K.; Resources, B.-B.L.; Software, H.-S.C. (Hyun-Sug Choi); Writing – original draft, H.-S.C. (Hyun-Sug Choi); Writing – review & editing, M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This work was provided by the Jeollanam-do Agricultural Research & Extension Services, Republic of Korea (Development of recovery and damage analysis method of Chonnam specialized fruit tree according to degree of hail damage, PJ0135540).

Data Availability Statement

Not applicable.

Acknowledgments

This research was supported by Department of Horticulture, Daegu Catholic University, Gyeongsan-si, Republic of Korea for providing financial assistance.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Monthly temperature and precipitation of peach and Japanese apricot orchards in Suncheon, Korea from January to May.
Figure 1. Monthly temperature and precipitation of peach and Japanese apricot orchards in Suncheon, Korea from January to May.
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Figure 2. Monthly (A) and yearly (B) hail days of peach and Japanese apricot orchards in Suncheon, Korea.
Figure 2. Monthly (A) and yearly (B) hail days of peach and Japanese apricot orchards in Suncheon, Korea.
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Figure 3. Fruit yield index as affected by levels of hailstorms of peach trees with DF (defoliation; (A)) and DF + IP (defoliation + immediate pruning; (B)).
Figure 3. Fruit yield index as affected by levels of hailstorms of peach trees with DF (defoliation; (A)) and DF + IP (defoliation + immediate pruning; (B)).
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Figure 4. Fruit yield index as affected by levels of hailstorms of Japanese apricot trees with DF (defoliation; (A)) and DF + IP (defoliation + immediate pruning; (B)).
Figure 4. Fruit yield index as affected by levels of hailstorms of Japanese apricot trees with DF (defoliation; (A)) and DF + IP (defoliation + immediate pruning; (B)).
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Table 1. Tree growth and fruit yield as affected by levels of hailstorms of peach and Japanese apricot trees in year 2017.
Table 1. Tree growth and fruit yield as affected by levels of hailstorms of peach and Japanese apricot trees in year 2017.
Damage Levels (%)Shoot
Damage (%)
Shoot
Length (cm)
Scaffold Damage (%)Fruit Yield (ton/ha)Marketable Fruit (%)
Peach
0–100.0 d56.4 b0.0 d25.3 a (100)88.4 a
10–4056.6 c45.6 c7.8 c4.5 b (18)10.6 a
40–7075.8 b55.2 b8.3 b1.3 c (5)4.9 c
70–100100.0 a63.8 a100.0 a0.0 d (0)0.0 d
Japanese apricot
0–100.0 d45.8 b0.0 d21.5 a (100)90.6 a
10–4086.8 c32.5 d82.3 c3.2 b (15)16.9 b
40–7095.3 b44.6 c90.2 b1.2 c (6)6.5 c
70–100100.0 a50.4 a100.0 a0.6 d (3)2.5 d
Means comparisons among treatments within a column by Duncan’s new multiple range test; means followed by different letters are significantly different (a–d), 5% level.
Table 2. Shoot growth as affected by levels of hailstorms of peach trees.
Table 2. Shoot growth as affected by levels of hailstorms of peach trees.
TreatmentNumberAvg. Length (cm)Avg. Base Diameter (cm)
Year 2Year 3Year 4Year 2Year 3Year 4Year 2Year 3Year 4
0–10 DF353 c336 c325 c63 a61 a62 a7.7 a7.5 a7.4 ab
0–10 DF + IP425 a407 a346 a53 d56 b62 a6.9 b7.2 b7.6 a
10–40 DF336 d330 c331 bc62 a56 b62 a7.5 a7.1 b7.3 abc
10–40 DF + IP377 b395 a343 ab56 c53 c62 a6.5 c6.8 c7.4 ab
40–70 DF325 ef325 cd325 c59 b53 c63 a6.9 b6.8 c7.1 cd
40–70 DF + IP360 c365 b340 ab55 c57 b56 b5.6 e6.6 cd7.2 bcd
70–100 DF316 ef316 d324 c57 c52 c61 a6.6 c6.2 e7.1 cd
70–100 DF + IP310 f332 c332 bc63 a56 b54 c5.8 d6.4 de7.0 d
p value
Level<0.001nsns<0.001nsns<0.01<0.001<0.001
Method<0.05<0.001<0.001<0.05ns<0.01<0.001nsns
Means comparisons among treatments within a column by Duncan’s new multiple range test; means followed by different letters are significantly different (a–f), with ns indicating for no significant difference at 5% level. DF: defoliation, DF + IP: defoliation + immediate pruning.
Table 3. Shoot growth as affected by levels of hailstorms of Japanese apricot trees.
Table 3. Shoot growth as affected by levels of hailstorms of Japanese apricot trees.
TreatmentShoot Per Tree
NumberAvg. Length (cm)Avg. Base Diameter (cm)
Year 2Year 3Year 4Year 2Year 3Year 4Year 2Year 3Year 4
0–10 DF320 c343 bcd316 cd69 a72 a71 a6.7 a6.6 a6.8 a
0–10 DF + IP362 a375 a351 a44 f50 e69 ab5.8 d5.2 e6.6 a
10–40 DF311 cd336 cde311 cd65 b66 b67 ab6.6 a6.5 a6.6 a
10–40 DF + IP336 b353 b348 a46 e49 ef63 abc5.6 e5.5 de6.7 a
40–70 DF305 cd325 de308 d64 b60 c66 ab6.4 b6.2 b6.3 ab
40–70 DF + IP320 c344 bc345 a48 e47 f62 bc5.2 f5.3 e6.3 ab
70–100 DF301 cd321 ef309 d60 c53 d64 abc6.1 c5.7 cd5.9 c
70–100 DF + IP270 d310 f336 b52 d51 e57 c5.9 c5.9 c6.0 bc
p value
Level<0.001<0.001<0.05nsns<0.05nsns<0.001
Method<0.05<0.05<0.001<0.001<0.001ns<0.001<0.001ns
Means comparisons among treatments within a column by Duncan’s new multiple range test; means followed by different letters are significantly different (a–f), with ns indicating for no significant difference at 5% level. DF: defoliation, DF + IP: defoliation + Immediate pruning.
Table 4. Tree canopy area and number of fruiting as affected by levels of hailstorms of peach trees.
Table 4. Tree canopy area and number of fruiting as affected by levels of hailstorms of peach trees.
TreatmentTree Canopy (m2)Number of Fruiting
Year 2Year 3Year 4Year 2Year 3Year 4
0–10 DF21.2 cd22.3 d22.5 a288 a265 a236 a
0–10 DF + IP24.6 a25.4 a22.6 a288 a265 a215 c
10–40 DF21.0 d22.0 e22.2 a288 a262 a228 b
10–40 DF + IP23.8 b24.2 b22.4 a276 b250 bc212 c
40–70 DF19.4 e21.5de21.8 ab250 d245 c235 a
40–70 DF + IP22.5 c23.2 c22.3 a263 c256 ab209 cd
70–100 DF18.2 f20.6 e21.5 b180 e220 d227 b
70–100 DF + IP20.6 de22.6 cd21.8 ab258 c262 a205 d
p value
Level<0.01<0.05<0.05<0.001<0.05ns
Method<0.001<0.001nsnsns<0.001
Means comparisons among treatments within a column by Duncan’s new multiple range test; means followed by different letters are significantly different (a–f), with ns indicating for no significant difference at 5% level. DF: defoliation, DF + IP: defoliation + immediate pruning.
Table 5. Tree canopy area and number of fruiting as affected by levels of hailstorms of Japanese apricot trees.
Table 5. Tree canopy area and number of fruiting as affected by levels of hailstorms of Japanese apricot trees.
TreatmentTree Canopy (m2)Number of Fruiting
Year 2Year 3Year 4Year 2Year 3Year 4
0–10 DF18.6 a19.1 a20.4 a1650 ab1580 bc1650 a
0–10 DF + IP18.2 a18.5 b19.2 b1760 a1650 a1602 b
10–40 DF18.2 a18.8 ab20.1 a1620 b1550 c1640 a
10–40 DF + IP17.0 b16.6 d19.1 b1660 ab1620 ab1580 c
40–70 DF15.8 c17.7 c18.4 bc1260 e1380 d1550 d
40–70 DF + IP16.5 b16.4 d18.0 c1500 c1610 b1560 d
70–100 DF12.6 d16.5 d17.6 cd1030 f1230 e1510 e
70–100 DF + IP12.8 d15.2 e17.1 d1320 d1580 bc1520 e
p value
Level<0.001<0.001<0.001<0.001<0.05<0.001
Methodns<0.05nsns<0.001ns
Means comparisons among treatments within a column by Duncan’s new multiple range test; means followed by different letters are significantly different (a–f), with ns indicating for no significant difference at 5% level. DF: defoliation, DF + IP: defoliation + immediate pruning.
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Kim, B.-S.; Cho, H.-S.; Cho, K.-C.; Kim, H.-J.; Lee, B.-B.; Gu, M.; Choi, H.-S. Effects of Damaged Levels and Pruning of Peach and Japanese Apricot Trees by Hailstorms on the Performance. Agronomy 2021, 11, 2178. https://doi.org/10.3390/agronomy11112178

AMA Style

Kim B-S, Cho H-S, Cho K-C, Kim H-J, Lee B-B, Gu M, Choi H-S. Effects of Damaged Levels and Pruning of Peach and Japanese Apricot Trees by Hailstorms on the Performance. Agronomy. 2021; 11(11):2178. https://doi.org/10.3390/agronomy11112178

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Kim, Byeong-Sam, Hye-Sung Cho, Kyung-Chul Cho, Hyo-Jung Kim, Bo-Bae Lee, Mengmeng Gu, and Hyun-Sug Choi. 2021. "Effects of Damaged Levels and Pruning of Peach and Japanese Apricot Trees by Hailstorms on the Performance" Agronomy 11, no. 11: 2178. https://doi.org/10.3390/agronomy11112178

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