Next Article in Journal
Transcriptome-Based Comparative Analysis of Transcription Factors in Response to NaCl, NaOH, and Na2CO3 Stresses in Roots of Autotetraploid Rice (Oryza sativa L.)
Previous Article in Journal
Influence of Long-Term Organic Fertilization on Changes in the Content of Various Forms of Sulfur in the Soil under Maize Monoculture
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Uptake and Translocation of Foliar-Applied L-Proline in Sweet Cherry (Prunus avium L.)

1
Tasmanian Institute of Agriculture, University of Tasmania, Hobart, TAS 7000, Australia
2
School of Health Sciences, University of Tasmania, Launceston, TAS 7250, Australia
*
Author to whom correspondence should be addressed.
Agronomy 2023, 13(4), 958; https://doi.org/10.3390/agronomy13040958
Submission received: 31 December 2022 / Revised: 9 March 2023 / Accepted: 20 March 2023 / Published: 23 March 2023
(This article belongs to the Section Horticultural and Floricultural Crops)

Abstract

:
Foliar application of nitrogen (N) may supplement soil-applied N in sweet cherry orchards. The proteinogenic amino acid L-proline is a potential source of organic N. However, little is understood about its uptake and effects on fruit quality. In this study, 15N-labelled L-proline was spray-applied to branches of the cultivar ‘Lapins’ either pre- or post-harvest. Leaves, fruit, and whole branches were sampled to investigate the uptake and allocation of foliar-applied N. Both treatments resulted in elevated 15N levels in leaves, with N derived from proline (%NDP) comprising 0.22% and 0.45% after pre- and post-harvest applications, respectively. The fruit was a sink for pre-harvest L-proline, with the highest %NDP in the pedicel (0.21%), followed by the skin (0.17%) and flesh (0.12%). Quality outcomes of smaller, darker fruit with lower stem retention indicate advanced maturity following L-proline application. Both pre- and post-harvest treatments resulted in the recovery of 15N in branches at late dormancy, with %NDP in bark (0.12%), buds (0.15%), and wood (0.02%) of the post-harvest treatment twice as high compared with those from the pre-harvest treatment. This study demonstrates proof of concept of the uptake of L-proline into the leaves of sweet cherry plants and translocation into the fruit and storage organs of the branch.

1. Introduction

Nitrogen is an essential macro-nutrient for deciduous fruit trees and can have a significant influence on tree development and fruit quality of sweet cherry (Prunus avium L.) [1]. Plants are able to take up N directly from the soil, most readily in inorganic but also in organic forms [2]. In commercial sweet cherry orchards, N is generally applied to the soil with irrigation water as nitrate or ammonium, commencing after full bloom. However, inorganic forms of N, particularly nitrate, are subject to loss from the soil through leaching [3] and/or nitrous oxide emissions [4,5].
Being a deciduous tree, sweet cherry remobilises N from storage reserves for early spring growth and flowering [6]. Thereafter, N from external sources is utilised for early fruit development and vegetative growth [7]. Post-harvest, N application is a common strategy in commercial orchards to build up storage reserves for the following season. However, the uptake of soil-applied N can be limited, especially within the season when applied post-harvest [8,9].
Direct foliar application of plant-available forms of N has potential to supplement soil-applied N. The absorption process of nutrients by leaves is passive, and uptake rates are influenced by the barrier function of the leaf surface and the nutrient concentration gradient [10]. Depending on the properties of the foliar nutrient, penetration of the leaf surface can occur via both the stomatal cavity and the cuticular surface [11]. Urea, a water soluble and non-polar form of N, has been shown to be absorbed by sweet cherry leaves, translocated within the tree and remobilised in the following season, hence functioning as a source of N when applied post-harvest [12].
Furuya and Umemiya [13] showed that amino acids are absorbed by fruit tree leaves with absorption rates negatively correlated with the molecular weight of the amino acid. The proteogenic amino acid L-proline is considered an important component of cell wall proteins and plays a role in the regulation of protein biosynthesis [14]. With its low molecular weight of 115.13 g mol−1, non-polarity, and water solubility, L-proline is a promising candidate as an organic foliar N source. Foliar application of L-proline has been shown to have positive effects on fruit quality, such as increased sugar content in Japanese pears [15] and increased size, weight, and sugar content in oranges [16] and pomegranates [17]. To our knowledge, the effect of foliar L-proline application on sweet cherry fruit quality has not been evaluated.
Although the potential of foliar spray application has been demonstrated, there remains uncertainty around whether L-proline is taken up by cherry leaves, followed by translocation into other parts of the tree. Stable isotope-labelled N sources (15N) represent a research tool to investigate this in a proof-of-concept scenario. There is evidence that inorganic 15N-labelled urea is taken up by cherry leaves [12], and we hypothesise that organic sources such as 15N-labelled L-proline will also be taken up, translocated, and incorporated into the tissues of sweet cherry trees. Therefore, the objectives of this study were to (1) measure the uptake of spray-applied 15N-labelled L-proline into cherry leaves; (2) investigate the translocation to fruit and branch tissues; and (3) compare the recovered 15N from L-proline of pre- and post-harvest application. In addition, we investigated the effect of pre-harvest application of this alternative N source on selected quality parameters in sweet cherry fruit.

2. Materials and Methods

2.1. Study Site

A trial was conducted in a commercial sweet cherry orchard at Rosegarland in Tasmania, Australia (42.71° S, 146.94° S, 130 m above sea level) during the 2018/2019 season. This region has a cool temperate climate with an average annual rainfall of 572 mm [4]. Trees were mature 7-year-old ‘Lapins’ on Colt rootstock trained to a Kym Green Bush system [18], with row spacing of 4.5 m and tree spacing of 1.7 m. The block was under bird exclusion netting, and commercial orchard management practices were maintained throughout the duration of the trial with drip irrigation providing water and nutrients to the trees. A total of 20 kg N ha−1 was applied as nitrate via fertigation and foliar application before trial commencement; post-harvest total N input was 60 kg ha−1, applied as urea via foliar application at 17, 20, and 23 weeks after full bloom (WAFB; 5 kg N each) and fertigation at 22, 23, and 24 WAFB (15 kg N each).

2.2. Trial Design and Treatments

The study was carried out as a randomised complete block design with four replicates per treatment. The plots were located in two adjacent rows and consisted of a trial tree with at least one buffer tree on either side. Trees were selected during full bloom in mid-October 2018, based on uniformity of appearance. One representative branch on the west side of each trial tree, with fruit-bearing wood older than two years, was tagged for treatment application. Within each of the four blocks, trees were randomly allocated to three different treatments: pre-harvest L-proline, post-harvest L-proline, or zero application control.
Unlabelled L-proline (C5H9NO2) and isotopically labelled 98 atom-% 15N-C5H9NO2 (both sourced from Sigma-Aldrich Pty. Ltd., St. Louis, MO, USA) were used to prepare a 20 atom-% 15N-enriched L-proline (L-proline) solution (2000 ppm). To mimic the application by commercial air-assisted spray units, 50 mL of the solution was applied as fine mist from spray bottles onto both the upper and lower leaf surfaces of the selected branches. The same volume of water was used in the control treatment. Pre- and post-harvest treatments were applied in three weekly doses of 100 mg L-proline each, commencing after the last commercial pre-harvest N application at straw phase of fruit development (7 WAFB) and two weeks after harvest (13 WAFB), respectively (Table 1). Treated branch segments received a total of 300 mg L-proline, i.e., 36.9 mg N, equivalent to 0.5 kg N ha−1.

2.3. Sampling and Measurements

2.3.1. Leaf Samples

Initial sampling of leaves commenced immediately before pre-harvest application and thereafter at intervals of three weeks until leaf senescence. Samples consisted of 10 mature leaves which were randomly picked from treated branches, washed with distilled water to remove surface 15N-labelled L-proline, and dried with paper towel. The chlorophyll content (n = 40 per treatment, i.e., 10 leaves × 4 branches) was estimated for each leaf in the first quarter closest to the petiole using a SPAD-502 Plus Chlorophyll Meter (Konica Minolta Sensing, Inc., Osaka, Japan). The 10 leaves were subsequently pooled (n = 4 per treatment) and oven-dried at 60 °C. To investigate the movement of L-proline 15N following uptake, additional leaf samples were obtained from shoot extension growth at 17 WAFB, immediately before extension shoots were removed as part of standard orchard management practice.

2.3.2. Fruit Samples

Fruit from each treated branch segment was hand-picked at commercial maturity (11 WAFB), counted, and weighed. To determine partitioning of 15N within the fruit, 10 fruit were washed with distilled water to remove surface 15N-labelled L-proline and fruit pedicels were detached by hand. Stones were removed with a manual cherry destoner (Westmark GmbH, Lennestadt, Germany) and washed with water to remove any attached flesh. Skin and flesh were carefully separated using a sharp kitchen knife. Fruit tissues (pedicels, stones, flesh, skin; n = 4 per treatment and tissue) were oven-dried at 60 °C. A subsample of 20 blemish-free fruit per branch was obtained for quality assessment, including measurement of weight (electronic balance, Mettler Toledo GmbH, Greifensee, Switzerland), size measured as diameter (DigiMax digital calipers, Wiha Werkzeuge GmbH, Schonach im Schwarzwald, Germany), skin colour (Australian Cherry Colour Guide, Cherry Growers Australia; and Chroma meter CR-400, Konica Minolta Sensing, Inc., Osaka, Japan; with output in the L*a*b* colour space [19]), compression firmness (FirmTech 2, BioWorks Inc., Wamego, KS, USA), skin puncture force (Güss Manufacturing Ltd., Strand, South Africa), and stem retention force (Series 5 force gauge, Mark-10 Corporation, Copiague, NY, USA) of individual fruit (n = 80 per treatment, i.e., 20 fruit × 4 branches). The 20 fruit were then pooled (n = 4 per treatment) and assessed for total soluble solids (TSS, PR-1 digital refractometer, Atago Co., Ltd., Tokyo, Japan), and titratable acidity (TA, G20 Compact Titrator, Mettler Toledo, Port Melbourne, Australia) according to previously published methods [20]. Total anthocyanin content was determined by ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) following methods adapted from Blackhall, et al. [21].

2.3.3. Branch Samples

The branch sections that received treatments were destructively harvested at winter dormancy and dissected into the various plant tissues of buds, spurs, bark, and inner wood (n = 4 per treatment and tissue). All material was oven-dried at 60 °C.

2.3.4. Sample Preparation and Nitrogen Stable Isotope Analysis

The dried leaf, fruit, and branch tissue samples were ground into a fine powder using a ball mill (MM 200, Retsch GmbH, Haan, Germany), in preparation for stable N isotope analysis. The N content (%N) of the samples was determined with an elemental analyser using flash combustion (vario PyroCube, Elementar, Langenselbold, Germany), in which a sample is burned in an excess of oxygen and N converted into dinitrogen (N2) gas for measurement. The N2 gas was then released into a continuous flow mass spectrometer (Isoprime100 with IonVantage software, version 1,7,3,0) to perform the isotopic measurements (Central Science Laboratory, University of Tasmania), according to methods described in Tan, et al. [9].
Analysed 15N atom-% (15Napc) values were used to calculate the proportion of N within a plant tissue that was derived from L-proline N (NDPtissue) by:
N D P t i s s u e   % = 15 N a p c   o f   a   t i s s u e N A N P a p c N A × 100 ;
where NPapc represents the 15N enrichment of applied L-proline (20 atom-% 15N) and NA, the natural abundance, as measured from leaf samples taken prior to the application of 15N-enriched L-proline.

2.4. Statistical Analysis

Data were presented as means and standard deviation (SD) for each treatment and were compared using two-sample t-tests and one-way analysis of variance (ANOVA) for repeated measures with Tukey’s post hoc multiple comparison (IBM SPSS Statistics for Windows, Version 27.0. Armonk, NY, USA: IBM Corp), with least significant differences calculated at a 95% confidence interval. Sample sizes were n = 4, unless otherwise stated. To evaluate practical significance of the results, effect sizes were determined as Cohen’s d (t-test) and eta-squared η (ANOVA), respectively. The outcomes of Cohen’s d and eta-squared are referred to as small (d = 0.2; η = 0.01), medium (d = 0.5; η = 0.06), and large (d = 0.8; η = 0.14).

3. Results

3.1. Chlorophyll Estimates, Total %N and %NDP of Leaves

Chlorophyll estimates, total %N and %NDP of leaves are presented in Figure 1.
Leaf chlorophyll estimates were 44.9 ± 2.7 SPAD units at trial commencement, peaking between 10 WAFB and 16 WAFB, and declining at 19 WAFB (Figure 1a). In the pre-harvest treatment, increased chlorophyll levels were recorded after L-proline application at 10 and 13 WAFB, with significant treatment effects at 13 WAFB between pre- and post-harvest treatments (p = 0.008) and close to significant effects between pre-harvest and control treatments (p = 0.066). Following application, there was a significant increase in chlorophyll levels in the post-harvest treatment at 16 WAFB, relative to other treatments. No treatment effects were recorded for the remainder of the trial.
In control trees, total leaf %N was highest at trial commencement (7 WAFB) in late November 2018 at 3.1%, and decreased to 2.0% at leaf senescence in late April 2019 at 28 WAFB (Figure 1b). This trend was mirrored in both the pre- and post-harvest treatments. There were no significant differences in leaf %N between treatments, except for 10 WAFB when %N in the pre-harvest treatment was lower than the control, and 25 WAFB when both pre- and post-harvest treatments had significantly lower %N than the control.
Elevated 15N levels were measured in leaves that received 15N-enriched L-proline. After initial uptake, leaf %NDP did not increase as the season progressed for either pre- or post-harvest treatments. Nitrogen derived from L-proline of the pre-harvest application was 0.22% of total N (Figure 1c). Post-harvest uptake of L-proline, resulting in a leaf %NDP of 0.45%, was significantly higher than that of the pre-harvest application. Neither pre- nor post-harvest application of L-proline led to increased 15N levels in leaves from new shoot extension growth.

3.2. Total %N, %NDP, and Quality of Fruit

Total %N in fruit tissues was in the range of 0.9% and 1.4%, depending on tissue type (Table 2). t-tests did not indicate significant differences in %N between fruit tissues from trees that received pre-harvest L-proline and control trees. However, there was a trend of lower %N in the pre-harvest compared with control treatments. Apart from the skin, where Cohen’s d indicates a large effect of the treatment on %N, the effect size for all other fruit tissues was in the small to medium range. Measured 15N levels were in the range of the natural abundance in the control treatment, whereas fruit of the pre-harvest L-proline application showed elevated 15N levels, with the highest %NDP in the pedicel (0.21%), followed by the skin (0.17%), flesh (0.12%), and stone (0.03%; Table 2).
The application of pre-harvest L-proline resulted in significant changes in most fruit quality parameters measured (Table 3). Fruit from trees that received the pre-harvest L-proline treatment showed deeper and darker coloured skin compared with fruit from untreated trees, indicated by significantly higher colour chart scores and lower values for the colour parameters a* and b*. Fruit weight and size, skin puncture, and stem retention force were significantly lower in the pre-harvest treatment compared with the control. Treatment effects were in the small to medium range, apart from stem retention force, where Cohen’s d indicated a large treatment effect, and titratable acidity, with a treatment effect in the medium to large range.

3.3. Total %N and %NDP of Branches

Total %N of winter-harvested and dissected branches was highest in the buds (1.9%), followed by spurs (1.2%), bark (1.0%), and inner wood (0.3%), but for each tissue there were no significant differences between treatments (Figure 2a). All examined tissues of the branches that received L-proline showed elevated 15N levels, resulting in significantly higher %NDP than the control (Figure 2b), with the highest %NDP determined in the buds, spurs, and bark. In branches that received post-harvest L-proline, %NDP was significantly higher in the buds, wood, and bark, compared to the pre-harvest treatment, with η treatment effects in the large range.

4. Discussion

This study demonstrates that the amino acid L-proline was taken up by mature sweet cherry leaves. Both pre- and post-harvest application resulted in the recovery of L-proline in leaves, fruit, and branches, with the %NDP being affected by application timing. Pre-harvest foliar application of L-proline was associated with darker fruit with lower stem retention, indicating advanced maturity under this treatment.
The lack of a significant increase of %N in the leaves, fruit, and branches, following the application of L-proline, was anticipated due to the nature of the experiment as a proof-of-concept study where a low rate of the 15N-labelled fertiliser was applied. Overall, the percentage of N derived from L-proline in tree tissues was low. Due to the deciduous nature of sweet cherry, remobilised N from previous seasons and N from commercial fertiliser application (80 kg N ha−1 and season) likely accounted for the majority of N present in tissues. L-proline application was a relatively minor contribution of 0.5 kg N ha−1 to the overall N fertiliser budget.

4.1. Leaves

The general decline of total leaf %N throughout the season until senescence was consistent with a trend observed in deciduous fruit trees [9]. The highest %N at 7 WAFB coinciding with the last commercial N application, and a steady decline afterwards, indicated the typical translocation of N from leaves to other organs, e.g., the fruit. After fruit harvest, the decline in %N continued, coinciding with the commencement of leaf senescence, and withdrawal of the leaf N to other organs [9,22]. The general pattern of leaf %N decline after harvest is mirrored in the pattern of estimated chlorophyll, which suggests a relationship between leaf N status and SPAD meter readings [23].
In mature leaves, elevated 15N levels were detected at the first sampling date after application (Figure 1c). Lower %NDP in leaves that received pre-harvest L-proline coincided with elevated 15N levels in fruit tissues, indicating that a portion of the L-proline was translocated to fruit (Table 2) as a competitive sink for nutrients. It is probable that due to the nature of the foliar application aimed at mimicking standard orchard practice, some L-proline may have been directly taken up by other parts of the branch, including the fruit. Other contributing factors to the lower %NDP may be of external nature, such as specific weather conditions throughout the pre-harvest period, with more frequent rain events potentially leading to wash-off and/or altered relative humidity, affecting uptake and incorporation into the leaf structure [11].
Independent of the timing of application, the %NDP in treated mature leaves remained stable throughout the season with a declining trend towards leaf senescence, when %N was at its lowest. This is in agreement with Thielemann, et al. [24], who reported a decline of 15N content of urea-treated cherry leaves which coincided with an increase of 15N detected in other organs such as the buds, bark, and wood, and was attributed to translocation of 15N to storage organs later in the season. It could be inferred that the translocation to other organs within or out of the treated branch was similarly occurring in the cherry trees of this study. The significantly higher leaf %NDP effects for post-harvest application could have implications for higher N available for withdrawal and translocation prior to senescence, and provide additional internal reserves for the subsequent season.
The lack of increase in 15N levels in leaves of extension growth suggests that L-proline was not translocated to these tissues in detectable amounts during the growth phase of the tree. This indicates that L-proline is assimilated where applied, before its translocation to alternative sinks along with other stored N, i.e., to developing fruit at pre-harvest application and/or to storage organs both pre- and post-harvest. It is likely that the N requirements of extension growth were met by soil uptake via the xylem stream [9], and therefore that the sink strength of new shoots for translocated N from L-proline was not as strong as that of other organs.
It appears that L-proline application had a physiological impact on mature leaves, as suggested by significantly elevated leaf chlorophyll levels soon after application of both the pre- and post-harvest treatments, i.e., at 13 and 16 WAFB, respectively. At this time, no additional N was applied as part of commercial orchard management practice, hence the only difference between the treatments was L-proline application. El Sayed, et al. [17] reported increased chlorophyll content in leaves of pomegranate after application of L-proline, whereas Takeuchi, et al. [15] were only able to detect increased chlorophyll levels with L-proline application when initial chlorophyll levels were low and soil N was not in excess. When initial chlorophyll levels were already high, the application of L-proline did not affect chlorophyll content [15]. In our study, the elevation in chlorophyll levels after L-proline application was of a temporary nature, and further research is needed to explore any potential physiological significance in sweet cherry.

4.2. Fruit

L-proline application did not significantly alter fruit N status, which was likely attained by remobilised N from previous seasons, native soil N supply, and pre-harvest fertiliser application [6,7]. Interestingly, evaluation of Cohen’s d revealed a large effect in skin %N, which was lower in fruit of branches treated with pre-harvest L-proline (Table 2), while effects on the flesh and stone were in the small to medium range. It is difficult to reconcile these findings and it remains to be investigated whether this phenomenon can be replicated in larger-scale studies and, if so, what the underlying mechanism may be.
The %NDP after pre-harvest L-proline application was highest in pedicels, followed by the skin and flesh. The stone showed a significantly lower %NDP, potentially due to the timing of the application being relatively late in fruit development at straw phase, when the stone was already developed. The overall increased 15N levels in fruit tissue are indicative of direct assimilation and/or translocation of L-proline into sweet cherry fruit tissue following pre-harvest application commencing at straw phase of fruit development.
In this study, significant differences in most fruit quality parameters were observed. Fruit from trees that received pre-harvest L-proline were smaller, yet deeper in colour, and showed reduced skin puncture and stem retention force. These significant treatment effects in combination with reduced titratable acidity, although not statistically significant, indicate that L-proline application may enhance fruit maturity. This may have implications on the timing of commercial harvest, which is commonly determined by skin colour assessment, and revenues, which are generally higher for large and firm fruit with a high stem retention. Although statistically significant, the differences in fruit quality parameters are small and may not lead to commercial consequences.
Although %N of fruit tissues did not significantly differ between control and pre-harvest treatment, the observed trend towards lower %N in fruit from trees that received L-proline may partially explain some of the fruit quality outcomes. Colour development in sweet cherry is dependent on the biosynthesis and accumulation of anthocyanins. Although not significant due to a small sample size (n = 4), fruit from the pre-harvest treatment showed higher anthocyanin contents compared with the control, coinciding with significantly higher skin colour measurements. Research suggests that anthocyanin biosynthesis, and subsequent colour development, is enhanced under low N conditions [25,26]. This relationship was also observed in sweet cherry in a study evaluating the effect of different rates of soil-applied N on fruit quality, where reduced N application resulted in enhanced skin colour (Hölzel, et al. unpublished data).
From the design of the experiment, it is not possible to determine a cause-effect relationship between the application of pre-harvest L-proline, N status, and fruit quality outcomes. Although differences in fruit quality parameters revealed a trend towards enhanced maturity of fruit treated with pre-harvest L-proline, this trend needs to be interpreted cautiously due to the small sample sizes (one treated branch per tree) and the general lack of information regarding the ideal timing and rates of L-proline application for sweet cherry. To confirm this trend, studies with whole-tree or whole-block replicates and higher number of treatments (timing, doses) are necessary to evaluate L-proline application as a possible tool for short-term maturity and quality management in cherry orchards.

4.3. Branch

Overall N status in branch tissues was not influenced by the application of L-proline, suggesting that internal storage, native soil N supply, and commercial N application were the main contributors to %N in branches.
Elevated 15N levels in all branch tissues at late dormancy indicate a translocation of 15N from leaves to storage tissues, as reflected in the pattern of leaf %N decline demonstrated in this study. The %NDP varied depending on the branch tissue and L-proline application timing. The lower %NDP for all branch tissues in the pre-harvest treatment was mirrored in leaf %NDP and can be attributed to the fruit being a strong sink for pre-harvest L-proline, whereas this competing sink was absent in the post-harvest treatment. Higher %N and higher %NDP in the buds, spurs, and bark, compared with wood, indicate that these tissues had a higher sink activity for N. Ayala, et al. [12] reported a similar enhanced sink strength for bark compared with wood after application of 15N-urea to branches of ‘Bing’ on ‘GI®6’. In our study, destructive harvest of branches occurred at a late stage of dormancy, immediately prior to bud burst. High %N and %NDP in buds and spurs may be attributed to the potential remobilisation of N reserves for new season growth. With reference to Thielemann, et al. [24], who recovered 15N in young leaves and fruit in the season following urea application, it is likely that stored 15N derived from L-proline is also available for new season growth. The significantly higher uptake and recovery of 15N from L-proline from post-harvest application in wood, buds, and bark indicates a strong possibility of subsequent season effects due to the deciduous nature of sweet cherry. However, this needs to be confirmed by further research.

5. Conclusions

This study demonstrates the uptake of foliar-applied L-proline into mature leaves of sweet cherry and its translocation into fruit and storage tissues of the branch. The fruit was a sink for L-proline applied pre-harvest, with quality outcomes indicating a trend towards enhanced maturity. Branch tissues were a sink for both pre- and post-harvest L-proline, with potential remobilisation of N for the coming growing season. This proof-of-concept study sets the foundation for large scale trials, using higher rates and optimised timing of L-proline application, to achieve desired fruit quality and N storage outcomes in sweet cherry.

Author Contributions

Conceptualization, N.D.S., N.H., D.C.C., P.R.Q. and S.A.B.; investigation, N.H. and S.A.B.; formal analysis, N.H. and D.C.V.; writing—original draft preparation, N.H.; writing—review and editing, N.H., D.C.C., P.R.Q. and S.A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by funding from the Australian Government Department of Agriculture, Fisheries and Forestry, as part of its Rural R&D for Profit Program (RRDP1721); the University of Tasmania; and Hort Innovation. In-kind support was also provided by Cherry Growers Australia Inc.

Data Availability Statement

Data supporting this manuscript is not publicly available but can be made available upon reasonable written request to the corresponding author (D.C.C.).

Acknowledgments

The authors thank Wandin Valley Farms for their kind provision of the trial site, in particular James Clements for his continuous assistance and support. We gratefully acknowledge Christian Dietz for providing guidance in trial conceptualization and N isotope analysis, and Bi Zheng Tan and Diane d’Esterre for assistance in the field and laboratory.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Neilsen, G.; Kappel, F.; Neilsen, D. Fertigation and crop load affect yield, nutrition, and fruit quality of ‘Lapins’ sweet cherry on Gisela 5 rootstock. Hortscience 2007, 42, 1456–1462. [Google Scholar] [CrossRef] [Green Version]
  2. Wang, Y.Y.; Hsu, P.K.; Tsay, Y.F. Uptake, allocation and signaling of nitrate. Trends Plant Sci. 2012, 17, 458–467. [Google Scholar] [CrossRef] [PubMed]
  3. Hardie, M. Two Dimensional Modelling of Nitrate Flux in a Commercial Apple Orchard. Soil Sci. Soc. Am. J. 2017, 81, 1235–1246. [Google Scholar] [CrossRef]
  4. Quin, P.; Swarts, N.; Oliver, G.; Paterson, S.; Friedl, J.; Rowlings, D. Nitrous oxide emissions from applied nitrate fertiliser in commercial cherry orchards. Soil Res. 2021, 59, 60–67. [Google Scholar] [CrossRef]
  5. Swarts, N.; Montagu, K.; Oliver, G.; Southam-Rogers, L.; Hardie, M.; Corkrey, R.; Rogers, G.; Close, D. Benchmarking nitrous oxide emissions in deciduous tree cropping systems. Soil Res. 2016, 54, 500–511. [Google Scholar] [CrossRef] [Green Version]
  6. Millard, P. Ecophysiology of the internal cycling of nitrogen for tree growth. Z. Für Pflanz. Und Bodenkd. 1996, 159, 1–10. [Google Scholar] [CrossRef]
  7. Artacho, P.; Bonomelli, C. Changes in fine-root production, phenology and spatial distribution in response to N application in irrigated sweet cherry trees. Tree Physiol. 2016, 36, 601–617. [Google Scholar] [CrossRef] [Green Version]
  8. San-Martino, L.; Sozzi, G.O.; San-Martino, S.; Lavado, R.S. Isotopically-labelled nitrogen uptake and partitioning in sweet cherry as influenced by timing of fertilizer application. Sci. Hortic. 2010, 126, 42–49. [Google Scholar] [CrossRef]
  9. Tan, B.Z.; Close, D.C.; Quin, P.R.; Swarts, N.D. Nitrogen Use Efficiency, Allocation, and Remobilization in Apple Trees: Uptake Is Optimized With Pre-harvest N Supply. Front. Plant Sci. 2021, 12, 657070. [Google Scholar] [CrossRef]
  10. Fallahi, E.; Eichert, T. Principles and Practices of Foliar Nutrients with an Emphasis on Nitrogen and Calcium Sprays in Apple. HortTechnology 2013, 23, 542–547. [Google Scholar] [CrossRef]
  11. Eichert, T.; Fernández, V. Chapter 4-Uptake and Release of Elements by Leaves and Other Aerial Plant Parts. In Marschner’s Mineral Nutrition of Higher Plants, 3rd ed.; Marschner, P., Ed.; Academic Press: San Diego, CA, USA, 2012; pp. 71–84. [Google Scholar]
  12. Ayala, M.; Banados, P.; Thielemann, M.; Toro, R. Distribution and recycling of canopy nitrogen storage reserves in sweet cherry (Prunus avium) fruiting branches following 15N-urea foliar applications after harvest. Cien. Inv. Agr. 2014, 41, 71–79. [Google Scholar] [CrossRef] [Green Version]
  13. Furuya, S.; Umemiya, Y. The influence of chemical forms on foliar-applied nitrogen absorption for peach trees. Acta Hortic. 2002, 594, 97–103. [Google Scholar] [CrossRef]
  14. Kavi Kishor, P.B.; Hima Kumari, P.; Sunita, M.S.L.; Sreenivasulu, N. Role of proline in cell wall synthesis and plant development and its implications in plant ontogeny. Front. Plant Sci. 2015, 6, 544. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Takeuchi, M.; Arakawa, C.; Kuwahara, Y.; Gemma, H. Effects of L-Proline Foliar Application on the Quality of ‘Kosui’ Japanese Pear. Acta Hortic. 2008, 800, 549–554. [Google Scholar] [CrossRef]
  16. Caronia, A.; Gugliuzza, G.; Inglese, P. Influence of L-Proline on Citrus sinensis (L.) ‘New Hall’ and ‘Tarocco Scire’ Fruit Quality. Acta Hortic. 2010, 884, 423–426. [Google Scholar] [CrossRef]
  17. El Sayed, O.M.; El Gammal, O.H.M.; Salama, A.S.M. Effect of proline and tryptophan amino acids on yield and fruit quality of Manfalouty pomegranate variety. Sci. Hortic. 2014, 169, 32–37. [Google Scholar] [CrossRef]
  18. Green, K. High Density Cherry Systems in Australia. Acta Hortic. 2005, 667, 319–324. [Google Scholar] [CrossRef]
  19. Luo, M.R. CIELAB. In Encyclopedia of Color Science and Technology; Luo, R., Ed.; Springer: Berlin/Heidelberg, Germany, 2014; pp. 207–212. [Google Scholar]
  20. Bound, S.A.; Close, D.C.; Quentin, A.G.; Measham, P.F.; Whiting, M.D. Crop Load and Time of Thinning Interact to Affect Fruit Quality in Sweet Cherry. J. Agric. Sci. 2013, 5, 216–230. [Google Scholar] [CrossRef] [Green Version]
  21. Blackhall, M.L.; Berry, R.; Davies, N.W.; Walls, J.T. Optimized extraction of anthocyanins from Reid Fruits’ Prunus avium ‘Lapins’ cherries. Food Chem. 2018, 256, 280–285. [Google Scholar] [CrossRef]
  22. Tagliavini, M.; Millard, P.; Quartieri, M.; Marangoni, B. Foliar Nitrogen Uptake and Withdrawal from Peach Leaves during Senescence. Acta Hortic. 1997, 448, 459–466. [Google Scholar] [CrossRef]
  23. Neilsen, D.; Hogue, E.J.; Neilsen, G.H.; Parchomchuk, P. Using SPAD-502 Values to Assess the Nitrogen Status of Apple Trees. Hortscience 1995, 30, 508–512. [Google Scholar] [CrossRef] [Green Version]
  24. Thielemann, M.; Toro, R.; Ayala, M. Distribution and Recycling of Canopy Nitrogen Storage Reserves in Sweet Cherry (Prunus avium L.) Fruiting Branches Following N-15-Urea Foliar Applications after Harvest. Acta Hortic. 2014, 1020, 353–361. [Google Scholar] [CrossRef]
  25. Lea, U.S.; Slimestad, R.; Smedvig, P.; Lillo, C. Nitrogen deficiency enhances expression of specific MYB and bHLH transcription factors and accumulation of end products in the flavonoid pathway. Planta 2007, 225, 1245–1253. [Google Scholar] [CrossRef]
  26. Lillo, C.; Lea, U.S.; Ruoff, P. Nutrient depletion as a key factor for manipulating gene expression and product formation in different branches of the flavonoid pathway. Plant Cell Environ. 2008, 31, 587–601. [Google Scholar] [CrossRef]
Figure 1. (a) Chlorophyll estimates (SPAD units; n = 40), (b) total leaf N content (%N; n = 4), and (c) N derived from L-proline (%NDP; n = 4) from initial sampling prior to the first L-proline application (7 WAFB) until leaf senescence (28 WAFB). Pre- and post-harvest treatments were applied weekly from 7 to 9 WAFB, and 13 to 15 WAFB, respectively. Error bars represent ± standard error of the means (SEM).
Figure 1. (a) Chlorophyll estimates (SPAD units; n = 40), (b) total leaf N content (%N; n = 4), and (c) N derived from L-proline (%NDP; n = 4) from initial sampling prior to the first L-proline application (7 WAFB) until leaf senescence (28 WAFB). Pre- and post-harvest treatments were applied weekly from 7 to 9 WAFB, and 13 to 15 WAFB, respectively. Error bars represent ± standard error of the means (SEM).
Agronomy 13 00958 g001
Figure 2. (a) Total N content (%N) and (b) N derived from L-proline (%NDP) of branch tissues at dormancy. Error bars represent ± SEM (n = 4).
Figure 2. (a) Total N content (%N) and (b) N derived from L-proline (%NDP) of branch tissues at dormancy. Error bars represent ± SEM (n = 4).
Agronomy 13 00958 g002
Table 1. Phenological stages and key events over the duration of the trial, related to weeks after full bloom (WAFB). Leaf samples were taken at intervals of three weeks, commencing at 7 WAFB and concluding at senescence at 28 WAFB.
Table 1. Phenological stages and key events over the duration of the trial, related to weeks after full bloom (WAFB). Leaf samples were taken at intervals of three weeks, commencing at 7 WAFB and concluding at senescence at 28 WAFB.
Phenological StageDateWAFBKey Events
Full bloom11 October 20180Tree selection
Petal Fall25 October 20182
Pit hardening15 November 20185
Straw colour29 November 20187Start pre-harvest L-proline; initial leaf samples
Full maturity28 December 201811Fruit harvest; dissection; quality analysis
Early leaf yellowing10 January 201913Start post-harvest L-proline
Leaf yellowing7 February 201917Extension growth removal
Leaf senescence25 April 201928Last leaf samples
Late winter dormancy22 August 201946Whole branch harvest and dissection
Table 2. Total N content (%N) and N derived from L-proline (%NDP) of fruit tissues at commercial harvest arising from trees from control and pre-harvest L-proline application (n = 4).
Table 2. Total N content (%N) and N derived from L-proline (%NDP) of fruit tissues at commercial harvest arising from trees from control and pre-harvest L-proline application (n = 4).
ControlPre-Harvest
MeanSDMeanSDp ValueCohen’s d
Pedicel%N1.060.151.080.050.853−0.14
%NDP0.000.000.210.05<0.0015.72
Skin%N1.000.130.910.050.281−0.84
%NDP0.000.000.170.050.0014.51
Flesh%N1.350.291.270.100.615−0.37
%NDP0.000.000.120.050.0033.29
Stone%N1.050.330.940.050.542−0.46
%NDP0.000.000.030.010.0023.81
Table 3. Selected fruit quality parameters at commercial harvest arising from trees from control and pre-harvest L-proline application.
Table 3. Selected fruit quality parameters at commercial harvest arising from trees from control and pre-harvest L-proline application.
ControlPre-Harvest
nMeanSDMeanSDp ValueCohen’s d
Weight (g)8012.91.612.21.70.006−0.44
Size (mm)8029.71.429.11.60.007−0.43
Colour (chart)804.50.84.90.80.0050.45
Lightness L*8028.02.227.32.10.067−0.29
Redness a*8027.05.024.35.00.001−0.54
Yellowness b*807.52.56.22.40.002−0.50
Compression firmness (g mm−2)80304.237.0293.737.40.076−0.28
Skin puncture force (kg)800.390.040.370.050.040−0.33
Stem retention force (g)80951.8194.2795.8182.1<0.001−0.83
Total soluble solids (°Brix)415.40.415.50.80.8350.15
Titratable acidity (g L−1)46.00.45.70.10.372−0.68
Total anthocyanins (mg 100 g−1)415.76.018.44.20.4920.52
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Hölzel, N.; Close, D.C.; Bound, S.A.; Quin, P.R.; Visentin, D.C.; Swarts, N.D. Uptake and Translocation of Foliar-Applied L-Proline in Sweet Cherry (Prunus avium L.). Agronomy 2023, 13, 958. https://doi.org/10.3390/agronomy13040958

AMA Style

Hölzel N, Close DC, Bound SA, Quin PR, Visentin DC, Swarts ND. Uptake and Translocation of Foliar-Applied L-Proline in Sweet Cherry (Prunus avium L.). Agronomy. 2023; 13(4):958. https://doi.org/10.3390/agronomy13040958

Chicago/Turabian Style

Hölzel, Nadine, Dugald C. Close, Sally A. Bound, Peter R. Quin, Denis C. Visentin, and Nigel D. Swarts. 2023. "Uptake and Translocation of Foliar-Applied L-Proline in Sweet Cherry (Prunus avium L.)" Agronomy 13, no. 4: 958. https://doi.org/10.3390/agronomy13040958

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop