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ORIGINAL RESEARCH article

Front. Soil Sci., 09 October 2023
Sec. Plant-Soil Interactions
This article is part of the Research Topic Optimizing the Use of Organic Amendments to Meet Climate-Smart Agriculture and Soil Fertility Goals View all 3 articles

Use of hardwood mulch applications to improve soil characteristics of Alfisols used in Florida citrus production

  • 1Horticultural Sciences Department, Institute of Food and Agricultural Sciences, Indian River Research and Education Center, University of Florida, Fort Pierce, FL, United States
  • 2Plant Pathology Department, Institute of Food and Agricultural Sciences, Indian River Research and Education Center, University of Florida, Fort Pierce, FL, United States
  • 3Horticultural Research Laboratory, U.S. Department of Agriculture, Agricultural Research Services, Ft. Pierce, FL, United States

Introduction: Improving soil fertility is a top priority in Florida’s citrus growing regions, especially in the age of Huanglongbing (HLB; also known as citrus greening). This disease severely reduces fine root mass, causes higher incidences of nutrient deficiencies, and eventually results in the death of affected trees. Additionally, the soils commonly found in Florida’s citrus growing regions are sandy (greater than 98%) and naturally low in fertility, making the nutrient management of HLB-affected trees even more challenging. As a result, interest in organic amendments to increase soil fertility are being tested. Although hardwood chip mulches are successfully used in other regions of the country, no studies exist observing their use on the soils in Florida’s citrus growing regions; therefore, the objectives of this study were to measure the impacts of hardwood oak mulch on (i) Florida Alfisols characteristics and (ii) HLB-affected citrus trees.

Methods: A two-treatment field study using 6-year-old ‘Valencia’ sweet orange trees (Citrus × sinensis) grafted on US-812 (C. reticulata × C. trifoliata) rootstock was conducted in Florida’s Indian River District (IRD). The experimental treatment consisted of 0.08 m of hardwood chip mulch sourced from oak trees applied every September for 3 years (2020, 2021, and 2022) while the control treatment had no mulch applied. Soil chemical and physical properties, leaf nutrient concentration, and leaf Candidatus Liberibacter asiaticus (CLas) titer was collected in the fall (October), winter (January), spring (April), and summer (July).

Results and discussion: Overall, after 3 years, oak mulch applications increased soil available phosphorus (32%), potassium (66%), magnesium (71%), organic matter (49%), and moisture (25-88%, depending on the season); however, oak mulch inconsistently impacted leaf nutrient concentrations and was not effective at suppressing HLB. The results show that annual applications of hardwood oak mulch can improve the chemical and physical properties of sandy soils within three years, however, these improvements did not reduce the severity of HLB.

1 Introduction

Soil is the foundation of agricultural productivity. Although it is widely accepted that soils with high fertility, organic matter, and water holding capacity can lead to increased plant growth and yield, many soils do not have these characteristics at levels high enough to support large scale commercial agriculture without substantial synthetic fertilizer inputs (13). While applications of synthetic fertilizers may improve agricultural yields in the short term by providing adequate nutrients to plants, improper application rates and methods can cause nutrient toxicity, reduce microbial activity, and acidify the soil, depleting soil fertility (4, 5). In the past 5 decades, there has been a growing interest in management practices that improve soil fertility. Ideally, these management practices improve soil physical, chemical, and/or biological properties, increasing soil fertility and thus reducing fertilizer and irrigation inputs. The use of cover crops, for example, has become widespread due to the reported increases in organic matter, water holding capacity, and beneficial effects on the microbiome (68). Similarly, the use of green manure, compost, biochar, and hardwood mulch have been reported to increase organic matter and soil fertility (9, 10).

Many of these methods are gaining interest in Florida, particularly in the citrus growing regions which have soils with low fertility. The soils found along Florida’s central east coast pose major challenges to the area’s citrus industry. Categorized as eastern flatwoods, the soils predominantly belong to the orders Alfisol and Spodosol (11). These soils generally have organic matter percentages less than 1%, poor cation exchange capacity (CEC), and low nutrient concentrations requiring considerable nutrient management to produce citrus (12). The challenging soil conditions are even more consequential in the age of the devastating citrus disease Huanglongbing (HLB; citrus greening). In the past decade Florida’s citrus production has declined by an estimated 75%, primarily due to HLB (13). The disease is caused by the bacteria Canditatus Liberibacter asiaticus (CLas) which enters the leaf phloem during the feeding activity of the Asian citrus psyllid (Diaphorina citri). During subsequent root and canopy flushes, CLas spreads systemically throughout the tree via the phloem. Symptoms include root and canopy dieback, poor fruit yield and quality, and the eventual death of the affected tree (14, 15). Huanglongbing is now considered endemic to Florida’s citrus growing regions and no cure is currently known (16). As a result, management of HLB-affected citrus focuses on increasing fruit quality and prolonging the producing life of diseased trees. Due to HLB’s deleterious effects on citrus roots, management strategies that improve rhizosphere conditions may improve HLB-affected tree health (17). Additionally, practices that reduce irrigation and/or fertilization costs may improve the economic sustainability of citrus operations in the HLB era (18).

The application of hardwood mulches has not been studied for use in Florida’s citrus growing regions but has been shown to be effective in improving soil fertility in other systems. A study conducted by Germer et al. (19) found that wood chips sourced from sweet cherry tree (Prunus avium) branches improved soil physical properties. In organic apple (Malus × domestica) production, 0.10 m of conifer wood mulch improved soil organic matter and tree growth after 4 years (20). Similarly, Sønsteby et al. (21) showed that spruce bark (Picea abies) led to increased soil moisture and leaf phosphorus (P) and potassium (K) concentrations in strawberry (Fragaria × ananassa) after 3 years.

Mulch sourced from the hardwood portions of oak trees may increase soil fertility and reduce HLB severity. In Florida, it has been reported that citrus trees with HLB had reduced symptoms when growing underneath the dripline of oak trees (22, 23). Research by Pitino et al. (22) showed that liquid extracts from the leaves of laurel oak (Quercus laurifolia) trees reduced CLas titer of HLB-affected sweet orange trees in a greenhouse study. This is consistent with Tanase et al. (24) and Paray et al. (25) which showed liquid oak extracts have antibacterial properties.

With literature supporting the use of hardwood mulches as an effective method to improve soil fertility and evidence indicating that oak trees may contain antibacterial compounds, the use of oak mulch may be an effective strategy for HLB-affected tree management. No studies have been conducted on the use of hardwood chip mulches in the age of HLB; therefore, the objectives of this study were to measure the impacts of hardwood oak mulch on (i) Florida Alfisols characteristics and (ii) HLB-affected citrus trees.

2 Materials and methods

2.1 Site description

This study was conducted at the United States Department of Agriculture, Agricultural Research Service (USD-ARS) Picos farm located in Fort Pierce, Florida, USA (27°26’01.2”N 80°25’51.0”W). Twenty-four ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C. trifoliata) rootstock were organized into a completely randomized design with two treatments, oak mulch and control. Each treatment was replicated three times and each replicate (plot) included four trees (a total of 12 trees per treatment). All trees were planted in 2013 and were managed using industry standard practices. The grove soil was classified as Oldsmar fine sand; moreover, this series is a member of the sandy, siliceous, hyperthermic family of Alfic Arenic Haplaquads Glossaqualfs (26). Prior to the start of the experiment (September 2019), soil pH was 6.33 measured in a 1:1 soil to water ratio (27). Soil CEC was 3.71 cmolc kg-1 using Ammonium acetate (NH4CH3CO2) buffered to pH 7 (28). Lastly, percent organic matter was estimated to be < 1% using loss on ignition (29).

All trees received the same irrigation and fertilizer management regardless of experimental treatment. Irrigation was supplied to the experiment using 39.7 L per hour microjet sprinklers (Maxijet, Dundee, FL, USA) placed on top of the mulch. A granular controlled release fertilizer consisting of macro and micro-nutrients was applied around the dripline of each tree in February, June, and September of each year. Nitrogen was applied at 168 kg ha-1, P at 0 kg ha-1, and K at 210 kg ha-1. Fertilizer application rates were calculated based on the soil and leaf nutrient concentrations as well as recommendations by the University of Florida, Institute of Food and Agricultural Sciences (UF/IFAS) (30).

2.2 Treatments

Two treatments were compared in this study. The control treatment received no mulch amendments, whereas the experimental treatment received mulch to a depth of 0.08-m evenly spread on the soil surface around the dripline of sweet orange trees. The mulch was applied every September for three years (2020, 2021, and 2022) on top of the subsequent years mulch and was not tilled or mixed into the soil. The mulch was sourced from the chipped hardwood branches of adult Laurel oak trees (Quercus laurifolia) and was 0.82% N, 0.05% P, 0.20% K, 0.19% Mg and had a C:N ratio of 37.54. Total nutrients added to the soil in each plot by the mulch was estimated to be 7.42 kg of N, 0.18 kg of P, 0.65 kg of K, and 0.68 kg of Mg per year. The mulch also contained 16 mg kg-1 of boron (B), 42 mg kg-1 zinc (Zn), and 48 mg kg-1 of manganese (Mn). Each of these micronutrients added less than 0.12 g per plot.

2.3 Soil analysis

Soil analysis was conducted seasonally (fall = October, winter = January, spring = April), and (summer = July) for three years. Four soil cores were taken around the dripline of each tree in each plot using a soil auger (One-Piece Auger model #400.48, AMS, Inc., American Falls, ID), 0.07 m in diameter and 0.10 m in depth, after removing the top layer of mulch. The cores were mixed to create one pooled sample per plot. Samples were then dried overnight and soil P, K, and magnesium (Mg) concentration was determined using Mehlich- III extraction (31). Briefly, 2.5 g of soil were sieved through a 0.5 mm screen (10 mesh) into an extraction tube (125 mL). A 20 mL of Mehlich III extractant solution (0.2 M CH3COOH + 0.015 M NH4F + 0.013 M HNO3 +0.001 M EDTA + 0.25 M H4NO3) was pipetted into the extraction tube containing the dry soil samples. The extraction tubes were placed on a mechanical shaker for 5 minutes. The soil suspension was filtered and placed into inductively coupled plasma (ICP) racks. Soil nutrients concentration was determined using ICP optical emission spectroscopy (ICP-OES, Spectro Ciros CCD, Fitzburg, MA, USA). The ICP machine was calibrated following manufacturer instruction. The calibration was verified using verification standards and quality controls were ran every 40 samples. Concentrations values from ICP read directly in lbs ac-1 and were later converted in kg ha-1.

Soil moisture was determined using a HH2 Moisture Meter coupled with a 0.06 m Delta-T soil moisture sensor (HH2 Moisture Meter, Delta-T Devices, Cambridge, UK). Four soil moisture readings were taken around the dripline of the 4 trees in each plot.

2.4 Leaf nutrient analysis

Leaf collection began in Summer 2020 and occurred seasonally (fall = October, winter = January, spring = April, and summer = July) for the duration of the experiment. Four mature, fully expanded leaves were collected from each tree in a plot and mixed to create one pooled sample per plot. Samples were dried at 80°C overnight then ground using a Thomas Wiley mill (Thomas Scientific, Swedesboro, NJ, USA) to pass through a 1.0 mm screen. The samples were then mixed with 5 mL of HNO3 in 50 mL vials to the 20 mL volume mark, covered with a watch glass, and placed on a digestor (DigiBlock 3000, SPC Science, USA) at 95°C for 90 minutes. After, 4 mL of 30% H2O2 was added to each tube and the tubes were placed back on the digestor for 20 minutes. The tubes were then cooled for 2 minutes, and distilled water (DI) H2O was added to each tube to reach the 50 mL volume mark. Samples were then examined using inductively coupled plasma mass spectroscopy (ICP-MS Spectro Ciros CCD, Fitzburg, MA, USA) (32). Leaf N, P, K, and Mg concentrations were expressed as a percentage of leaf dry mass.

2.5 Leaf CLas cycle threshold value

One leaf was collected from each quadrant of each tree per plot twice a year (winter and summer) for the entire duration of the study. Only leaves displaying HLB symptoms were sampled. Once collected, leaves were immediately placed on ice until analysis could be conducted. DNA was extracted from freshly ground midrib using the DNeasy Plant Mini kit ® (Qiagen, Hilden, Germany). Quantification of CLas DNA was done with Applied Biosystems 7500 Fast Real-Time PCR System (Thermo Fisher Scientific, Waltham, MS, USA). using the CQULA primers/probe set (33) with a standard curve of 101 to 106 copies of pLBA2 plasmid (34).

2.6 Statistical analysis

The trees were organized into a completely randomized design with two treatments, oak mulch and control. Each treatment was replicated three times and each replicant included four trees. For the statistical analysis, a linear mixed-effects model was fitted to examine the effects of time, treatments (control and mulched plot), and their interaction on soil and tree characteristics. Additionally, a two-sample t-test (p < 0.05) was used to determine significant differences between the control and mulch treatments at individual time points. The software R (https://www.r-project.org) was used to carry out statistical analysis and Microsoft Excel (https://office.microsoft.com/excel) was used to construct graphs.

3 Results

3.1 Soil nutrient and organic matter

Mulch applications impacted soil nutrient content throughout the year. Soil P content in mulched soils was, on average, 32% higher compared to non-mulched soils from Winter 2019 to Winter 2020, and 24% higher in Summer 2021 (Figure 1A). This increase was not observed from Fall 2021 to Summer 2022. Statistical analysis using a linear mixed-effects model further revealed that the treatment, time, and the interaction between treatment and time had significant p-values (p < 0.05) (Supplementary Table 1).

FIGURE 1
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Figure 1 Soil phosphorus (A), soil potassium (B), and soil magnesium (C) in kg ha-1. The measurements were collected seasonally (from Fall 2019 to Summer 2022). Six-year-old HLB-affected ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C trifoliata) rootstock were treated with 0.08 m of oak mulch (annually, for 3 years) or not treated with mulch (control). A two-sample t-test (p < 0.05) was used to determine significant differences between treatments. Bars represent standard error. Asterisks (*) indicate differences between means. A linear mixed-effects model was fitted to examine the effects of time, treatments (control and mulched plot), and their interaction on soil characteristics (reported in S1-3).

Similarly, soil K content was on average 66% greater in mulched soils compared to the control from Spring 2020 to Winter 2020 (Figure 1B). No differences were observed from Spring 2021 to Spring 2022, however, mulched soils contained 64% more K at the conclusion of the study. Additionally, significant p-values were observed for the treatment, time, and the interaction between treatment and time (Supplementary Table 2).

No differences in soil Mg were observed between mulched soils and non-mulched soils from Fall 2019 to Summer 2020 and from Summer 2021 to Summer 2022 (Figure 1C). Mulched plots did have an average of 71% more soil Mg compared to non-mulched plots from Fall 2020 to Spring 2021. Significant p-values were observed for the treatment, time, and the interaction between treatment and time (Supplementary Table 3).

No differences in organic matter were observed between the two treatments from Summer 2021 to Winter 2021 (Figure 2A). However, organic matter was 49% greater in mulched plots in Spring 2022. No differences in organic matter between treatments were observed at the conclusion of the study. Although, for the majority of the study, organic matter content was not statistically different between the control and the mulched plots, the average percent organic matter was always higher in mulched plots (between 24%-29%) compared to the control. Additionally, significant p-values were observed for the treatment, time, and the interaction between treatment and time (Supplementary Table 4).

FIGURE 2
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Figure 2 Soil organic matter (%) (A), moisture (%) (B), pH (measured in H2O) (C), and CEC (cmolc kg-1) (D). The measurements were collected seasonally (from Fall 2019 to Summer 2022). Six-year-old HLB-affected ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C trifoliata) rootstock were treated with 0.08 m of oak mulch (annually, for 3 years) or not treated with mulch (control). A two-sample t-test (p < 0.05) was used to determine significant differences between treatments. Bars represent standard error. Asterisks (*) indicate differences between means. A linear mixed-effects model was fitted to examine the effects of time, treatments (control and mulched plot), and their interaction on soil characteristics (reported in S4-7).

3.2 Soil moisture, pH, CEC, and visual characteristics

Significant differences in soil moisture were observed throughout most time points (Figure 2B). Mulched plots had increased moisture levels ranging from 25% to 88% more compared to control plots. Significant p-values were observed for the treatment, time, and the interaction between treatment and time were observed for soil moisture (Supplementary Table 5). No differences were observed in pH throughout the study (Figure 2C), however the linear mixed-effects model revealed significant p-values for time and the interaction between treatment and time (Supplementary Table 6). Soil CEC was significantly greater in mulched plots in Spring 2022 (Figure 2D). Additionally, time and the interaction between time and treatment had significant p-values (Supplementary Table 7).

At the conclusion of the study, a 0.06 m O horizon was observed in mulched plots (Figure 3A). This layer was noticeably absent in control plots (Figure 3B). The O horizon was much darker than the soil in control plots and consisted of broken-down mulch, citrus roots, earthworms, and fungi (Figure 3C). These organisms were not observed in control plots (Figure 3D).

FIGURE 3
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Figure 3 Pictures of soil cores (A, B) and soil horizons (C, D) from mulched plots and control plots. Six-year-old HLB-affected ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C trifoliata) rootstock were treated with 0.08 m of oak mulch (annually, for 3 years, starting in Fall 2019) or not treated with mulch (control). Pictures were taken in Summer 2022, at the end of the study.

3.3 Leaf nutrient concentration

Differences were observed in leaf nitrogen (N) between Fall 2021 and Winter 2021 (Figure 4A). Trees in mulched plots contained roughly 10% more N compared to control plots during these two time points. Significant p-values were observed for treatment, time, and the interaction between treatment and time (Supplementary Table 8).

FIGURE 4
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Figure 4 Leaf nitrogen (A), leaf phosphorus (B), leaf potassium (C), and leaf magnesium (D) in g kg-1. The measurements were collected seasonally (from Fall 2019 to Summer 2022). Six-year-old HLB-affected ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C trifoliata) rootstock were treated with 0.08 m of oak mulch (annually, for 3 years) or not treated with mulch (control). A two-sample t-test (p < 0.05) was used to determine significant differences between treatments. Bars represent standard error. Asterisks (*) indicate differences between means. A linear mixed-effects model was fitted to examine the effects of time, treatments (control and mulched plot), and their interaction on soil characteristics (reported in S8-11).

No differences were observed in leaf P concentrations between the two treatments (Figure 4B), however, significant p-values were observed for time and the interaction between treatment and time (Supplementary Table 9). Leaf K concentrations only varied at the Spring 2021 and Spring 2022 time points (Figure 4C). During the Spring 2021 time point, trees in the mulched plots contained 17% more K compared to the control. The opposite occurred during the Spring 2022 time point. Trees in the control plots contained 31% more leaf K compared to trees in the mulched plots. Significant p-values were observed for treatment, time, and the interaction between treatment and time (Supplementary Table 10).

No differences were observed in leaf Mg concentrations between the two treatments (Figure 4D), however, significant p-values were observed for treatment and time (Supplementary Table 11).

3.4 Leaf CLas cycle threshold value

All trees at both the start and end of the experiment had cycle threshold (Ct) values less than 30 indicating HLB. During the spring of 2021 and summer of 2022, control trees had higher Ct values compared to mulched trees (Table 1). Additionally, the linear mixed-effects model revealed significant p-values for time treatment, however (Supplementary Table 12), no consistent pattern was established.

TABLE 1
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Table 1 Leaf Ct values from six-year-old HLB-affected ‘Valencia’ sweet orange (Citrus × sinensis) trees grafted on US-812 (C. reticulata × C. trifoliata) rootstock and treated with 0.08 m of oak mulch (annually for 3 years) or not treated with mulch (control).

4 Discussion

Soil fertility is a key factor which directly influences the productivity of agricultural land. In regions such as the central east coast of Florida, low fertility soils require extensive synthetic fertilizer inputs to remain productive. This study detected higher nutrient contents, organic matter, and moisture in mulched plots when compared to non-mulched plots. The increased soil nutrient concentrations found in mulched plots were likely a result of the breakdown of the mulch itself, as well as a higher retainment of already present nutrients. Nutrient analysis of the mulch showed 0.82% N, 0.05% P, 0.20% K, and 0.19% Mg, which corresponds to 7.42 kg of N, 0.18 kg of P, 0.65 kg of K, and 0.68 kg of Mg per plot per year. As the mulch decomposed, a portion of these nutrients were likely released into the rhizosphere. Additionally, organic matter content and CEC may have influenced the soil nutrient contents. While significant statistical differences in organic matter and CEC were only observed at one time point, mulched plots had higher averages throughout the study. It is widely accepted that organic matter is negatively charged and can hold cations essential for plant growth such as ammonium, potassium, and magnesium (35, 36).

The results of this study were consistent with research conducted on the impact of hardwood mulches in non-citrus cropping systems outside of Florida. In apple production for example, Yao et al. (37) found that a 0.15 m layer of hardwood chip mulch applied to the soil surface every 2 years increased soil nutrients, CEC, pH, organic matter, soil respiration, and soil bacteria populations during a 10-year study. Similarly, a 7-year study by Jones et al. (38) found that a 0.12 m layer of hardwood chips applied to the soil surface annually, led to higher soil moisture and increased organic matter contents compared to other orchard ground management techniques.

In mulched plots, the increase in soil moisture was observed in the decomposed mulch material and the adjacent soil directly below the recently applied mulch layer. This was expected as it is widely established that organic amendments increase soil moisture (3941). The mulch is likely to have increased soil moisture by acting as a physical barrier, reducing evaporation (42). The large increases in soil moisture may not only improve soil conditions for microfauna and macrofauna but may reduce the amount of irrigation needed. Citrus roots were observed growing in the decomposed mulch material containing higher moisture, likely benefiting from the increased moisture. This may be of interest to growers looking to reduce the amount of water used in their irrigation practices.

Mulched plots contained a dark layer of decaying mulch whereas controlled plots had no such layer. After 3 years, approximately 0.23 m of mulch was applied. The resulting 0.065 m horizon at the conclusion of the study likely served as a pool for the increased soil nutrients and moisture previously mentioned. This observation is supported by our soil nutrient, moisture and organic matter data as well as literature which shows darker soils are significantly correlated with citrus grove production in Florida (43).

Although the mulch contributed an estimated 7.42 kg of N, 0.18 kg of P, 0.65 kg of K, and 0.68 kg of Mg per year to the soil and increased both organic matter and moisture, it did not, translate into consistent increases in leaf nutrient concentrations. This is similar to a study conducted by Foshee et al. (44), which found that pine bark nuggets applied to pecan trees (Carya illinoinensis) for 3 years led to no increases in leaf K or N; however, the opposite was observed by both Choi et al. (45), which found that apple trees treated with 0.12 m of wood chip mulch annually for 3 years had increased foliar nutrients, and Sønsteby et al. (21), which found that bark mulch applications resulted in increased leaf P and K, but decreased leaf N in a 3-year strawberry study.

The lack of differences in foliar nutrient concentrations between mulched plots and control plots in our study could be due to several factors including the impact of HLB on nutrient dynamics, a reduced root system in HLB-affected trees,. The studies described above were conducted on deciduous fruit trees and non-tree fruits, not citrus trees, likely leading to the differences between results. Additionally, the HLB-induced reduction of the fine root mass greatly impedes nutrient uptake capabilities in affected trees (46). This decrease in nutrient uptake in addition to the disruption and changes to nutrient dynamics within HLB-affected trees is well documented and may be to blame for the differences in results between this study and the current literature (4751).

Mulch applications did not result in improved tree growth or reduced CLas Ct values. Laurel oak was specifically chosen as the mulch source due to its known antimicrobial properties. In a study by Pitino et al. (22), laurel oak leaf extracts made from 200 g of freshly ground leaves and 2 L of water was sprayed on HLB-affected citrus trees resulting in a decrease in HLB symptoms. The authors identified hydroxycinnamic acids as the likely antimicrobial compounds. In our study, hardwood portions of laurel oaks were used which likely do not contain high enough concentrations of these compounds to be effective against HLB in the field (52).

Although mulch applications did not improve the health of HLB-affected trees, the implications of improving soil fertility may be of interest to citrus growers. It is widely established that increased applications of macronutrients and micronutrients can improve the health, fruit quality, and yield of HLB-affected trees (5356). The improved soil fertility obtained from mulch applications could logically supply the HLB-affected trees with more nutrients and thus over time improve tree health, yield, and fruit quality. Additionally, synthetic fertilizer applications make up a significant portion of citrus management costs (5759). If soil fertility can be improved, synthetic fertilizer inputs could be reduced, possibly improving operational profitability. However, it is important to note that mulch material and application costs may outweigh the savings associated with reduced fertilizers.

The data presented above contribute to a clearer understanding regarding the impact of mulch amendments on sandy soils in Florida. Additionally, this research provides insights on the time it takes mulch amendments to improve soil fertility and the mulches lack of impact on tree characteristics in the 3-year timeframe of the study. While this study shows that mulch is not effective at improving HLB-affected tree health in 3-years, it can be used to improve soil fertility; therefore, using mulch amendments to improve soil characteristics may be a promising long-term method for citrus management in the age of HLB. This is also confirmed by the linear mixed-effects model which revealed that treatments, time, and the interaction between treatment and time were significant for most of the parameters observed over the course of the study. Further studies comparing hardwood mulches to other organic amendments are needed, and these studies should be conducted over longer periods of time to determine the impact of mulch on tree growth.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

LH contributed to the conceptualization, methodology, data analysis, and writing the original draft. JS contributed to the sample collection, methodology, and review and editing. RS and MP contributed to the conceptualization and review and editing. LR contributed to conceptualization, supervision, methodology, resources, writing-review and editing, and overall project administration. All authors contributed to the article and approved the submitted version.

Funding

This material is based upon work that is supported by the National Institute of Food and Agriculture, U.S. Department of Agriculture, under award #2019-38640-29878 through the Southern Sustainable Agriculture Research and Education program under subaward number GS20-225; and under National Institute of Food and Agriculture, U.S. Department of Agriculture award #2020-70029-33176. This research was also partially supported by the UF/IFAS A. H. Krezdorn Memorial Fund.

Acknowledgments

The authors are grateful to Randy Burton (UF/IFAS) and Steve Mayo (USDA-ARS) for their assistance in mulch acquisition and grove management.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author LR declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fsoil.2023.1200847/full#supplementary-material

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Keywords: citrus greening, soil fertility, organic matter, soil moisture, sandy soil

Citation: Hallman LM, Santiago JM, Fox J-P, Pitino M, Shatters RG Jr. and Rossi L (2023) Use of hardwood mulch applications to improve soil characteristics of Alfisols used in Florida citrus production. Front. Soil Sci. 3:1200847. doi: 10.3389/fsoil.2023.1200847

Received: 05 April 2023; Accepted: 25 September 2023;
Published: 09 October 2023.

Edited by:

Thiago Nogueira, São Paulo State University, Brazil

Reviewed by:

Haiying Tao, University of Connecticut, United States
Paulo Pagliari, University of Minnesota Twin Cities, United States

Copyright © 2023 Hallman, Santiago, Fox, Pitino, Shatters and Rossi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lorenzo Rossi, l.rossi@ufl.edu

Present address: Marco Pitino, AgroSource, Inc., Jupiter, FL, United States

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.