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Article

Impact of Twig-Tip Dieback on Leaf Nutrient Status and Resorption Efficiency of Mango (Mangifera indica L.) Trees

by
Constancio A. Asis
* and
Alan Niscioli
Northern Territory Department of Industry, Tourism and Trade (NT DITT), Berrimah Farm Science Precinct, GPO Box 3000, Darwin, NT 0801, Australia
*
Author to whom correspondence should be addressed.
Horticulturae 2024, 10(7), 678; https://doi.org/10.3390/horticulturae10070678
Submission received: 28 May 2024 / Revised: 21 June 2024 / Accepted: 24 June 2024 / Published: 26 June 2024
(This article belongs to the Section Fruit Production Systems)

Abstract

:
Mineral nutrition is essential for plant growth and the interaction of plants with biotic and abiotic stresses. Mango twig-tip dieback (MTTD) is a new type of mango decline, but its impact on trees’ mineral nutrition is unknown. This study was conducted to determine the effect of MTTD infection on the nutrient status, balance, and resorption efficiency (RE) of mangoes. Leaf nutrient concentrations and deviation from the optimum percentage (DOP) indices of ‘Kensington Pride’ (KP) mango trees with low (LD) and high (HD) levels of MTTD infections were analyzed to compare the foliar nutrition status and nutrient balance between the LD and HD trees. Moreover, the nutrient resorption efficiency of MTTD-infected dried leaves (RED) was compared with the resorption efficiency of healthy (RES) leaves of KP mangoes. The concentrations of total Ca, Mg, Cu, Fe, Mn, and Zn were lower in the HD trees than in the LD trees. But the total K content was higher in the HD trees, and its DOP index was sufficient, while the total K concentration was of a low and deficient level in LD trees. Moreover, the DOP indices for total Ca, Mn, and Zn were less deficient in LD trees than in HD trees, and the overall nutrient imbalances were exacerbated in HD trees. The RED was significantly lower than RES for the total N, P, S, Cu, Fe, and Zn but significantly higher than RES for K. This study underscores the significant influence of MTTD on the mineral nutrition of KP mangoes, revealing distinct nutrient variations between trees with low and high MTTD infection levels. These findings have important implications for mango crop management, emphasizing the need for targeted nutrient interventions to address imbalances induced by MTTD and enhance the overall health and resistance of mango trees against MTTD infections.

1. Introduction

Mangoes are the main horticultural crop of the Northern Territory (NT), the largest producer of mangoes in Australia. NT growers produce 52% of the nation’s mangoes and give Australian customers their first crop harvest of the season. The mango industry provides approximately USD 128 million to the NT economy and employs about 3500 people [1]. However, plant diseases pose a significant threat to maintaining or increasing mango production in the NT. Plant diseases can significantly reduce farm profitability owing to yield losses, higher production costs, and poorer crop quality [2,3]. Some of the common mango diseases in the NT include anthracnose [4], stem end rot [5], resin canal discoloration [2,6], and sudden decline or common dieback [7,8,9].
Common dieback causes serious production issues for mango growers globally [7,8,9,10,11,12,13]. It is characterized by a progressive and downward drying out or dying back of the twig or branch, sometimes with the death of the whole branch. Twig/branch/stem cankers are also a typical symptom. In very severe cases, this dieback can lead to the death of the mango tree, particularly when trees are under prolonged periods of drought with inadequate irrigation. Tree death is not common in managed orchards. Common dieback symptoms are not frequently found on young trees; its intensity appears to increase with the plant’s age [13]. Some visible symptoms of common dieback include gummosis, vascular discoloration, the death of twigs from the top, streaking, and bark splitting. The leaves of the affected tree dry up and remain attached to the dying tree, and the infected trunk oozes badly with a smelling exudate [9,10,11]. Both biotic and abiotic factors are likely to be responsible for the symptoms of mango dieback. For biotic factors, reports identified several genera and species in the family Botryosphaeriaceae as organisms associated with dieback in mangoes [7,9]. Other pathogens that are also associated with common dieback include Phytophthora sp., Fusarium sp., Ceratocystis fimbriata, and Hendersonula toruloidea [14,15]. Moreover, abiotic factors that may play a role in dieback include relative humidity, high temperatures, sun scald, water stress, drought, and cultural management practices [10,12].
Mango growers in the Darwin region of the NT reported a type of dieback that showed different symptoms compared with that of common dieback. The symptom was a dark longitudinal lesion that was only on one side of the last twig flush above the last node. The apical bud dies as the lesion spreads upward and downward. The leaves of the last flush dried out and temporarily stayed affixed to the twig. Occasionally, only the apical bud had dried leaves on one side, and a black lesion was visible on the second and third flushes, with or without gum exudation. The middle of the twig, either between two nodes or between the apical bud and the terminal node, appears to be where the majority of lesions are located. Moreover, the internal lesion extended a few centimeters beyond the visible symptoms. Transversely cutting the twig reveals that the lesion is not in the center but on the outside. Thus, it is called twig-tip dieback (MTTD), which distinguishes itself from common dieback (Figure 1). The etiology of MTTD, whether biotic or abiotic, is presently unknown. The intensity of MTTD differed among orchards, with certain locations experiencing severe impacts. MTTD severity varied across orchards, impacting some areas more severely than others. The occurrence of MTTD was not solely dependent on plant stress, as it had been found in orchards with healthy trees and even in previously abandoned settings. Remarkably, MTTD affected young mango trees, particularly the KP cultivar, showing its susceptibility regardless of the tree’s age [16].
Mineral nutrition is not only important for the optimum growth and yield of mangoes but also plays a significant role in plant and disease interactions [17,18]. The nutrient composition and imbalances affect plant growth, flowering traits, fruit development [19], and disease susceptibility through metabolic changes that influence the vascular systems of plants [9,20,21]. Adequate levels of essential nutrients are also needed for key physiological processes such as photosynthesis and stomatal regulation, which determine how trees cope with stress [22]. Furthermore, because of the direct role of mineral elements in plant defense, a comprehensive and balanced nutrition has traditionally been the first line of defense for plants by modifying root exudates, the dynamics of the microflora population, and the production of phytoalexins, all of which have a direct impact on plant health [17]. For example, calcium (Ca) and boron (B) prevent pathogens from invading by strengthening the cell walls and membranes, while silicon (Si) and manganese (Mn) are crucial for triggering defense responses against pathogens or pests [23]. Moreover, nitrogen (N) reduces physical defense and antimicrobial compound production in plants but enhances defense-related enzyme levels, potentially aiding systemic resistance. Potassium (K) also boosts polyphenolic concentrations crucial for plant defenses, while zinc (Zn) participates in enzyme pathways related to auxin synthesis, infectivity, and toxin production in pathogens [18,20]. Thus, ensuring comprehensive and balanced nutrition stands as the cornerstone of safeguarding plant health, highlighting its pivotal role as the primary defense mechanism for plants against adversity and disease challenges.
However, there are no reports on the effect of MTTD on mineral nutrition in mangoes. In common dieback, studies have shown that nutrient stress predisposes and contributes to the common dieback problem in sugar maples [24], cherries [25], eucalypts [26], and other trees [27]. Saeed et al. [10] found that common dieback disturbs the level of important phytochemicals and minerals in the stem bark of mangoes. In citrus, the effects of Huanglongbing (HLB) pathogen infections on resorption efficiency (RE) for total phosphorus (P) varied depending on the species of citrus [28]. Therefore, it is important to elucidate the effects of MTTD on the nutrient dynamics and RE of mangoes. Because leaves are the most dynamic and responsive plant part for metabolic activity and nutrient availability [29], leaf nutrient analysis provides the actual uptake of nutrients and indicates the existing nutrient levels when compared to the standard optimum leaf nutrient content [30]. Leaf analysis can identify imbalances and aid in formulating fertilizer recommendations to address nutritional deficiencies [15]. Moreover, nutrient analysis of senescing leaf samples provides information on the nutrient RE [31], which is crucial for understanding nutrient transfer within plants and quantifying ecosystem nutrient cycling rates. It plays a vital role in plant conservation by minimizing nutrient loss, enhancing productivity, and enabling plants to adapt to environmental changes, thereby influencing litter quality and nutrient cycling dynamics [31,32].
The investigation into the cause of MTTD is ongoing. In this study, we present the analysis of nutrient levels in a commercial mango orchard featuring trees exhibiting varying degrees of MTTD. This study aimed to (1) assess leaf nutrient levels in trees affected by differing MTTD intensities; (2) ascertain whether MTTD intensity contributes to elevated nutrient imbalances; and (3) understand how MTTD intensity influences the nutrient resorption efficiency of mango trees.

2. Materials and Methods

2.1. Study Site

This study was conducted in a 25-year-old commercial mango orchard in the Litchfield municipality of NT, Australia (14°27′52.6″ S, 132°18′48.5″ E), with a population density of 100 trees per hectare. It is one of the fifteen mango orchards surveyed for the occurrence of MTTD [16] and does not receive phytosanitary treatments. The soil was classified as red Kandosol with a sandy loam soil texture. The climate is characterized by a pronounced rainy season from July to October, with the annual rainfall ranging from 800 to 1100 mm. The lowest temperature is 23.2 °C in August, and the highest is 42.5 °C in October.

2.2. Twig-Tip Dieback Evaluation

One hundred trees with varying levels of MTTD infection were selected from the middle part of the orchard. The trees were all affected by MTTD, and the severity of MTTD infection was scored from one to four, with Level 1 having the lowest infection and Level 4 having the highest infection, based on the number of twigs infected in the north–south and east–west orientations of the tree. Level 1 trees had less than 10% TTD; Level 2 trees had 25% TTD; Level 3 trees had 50% TTD; and Level 4 trees had more than 50% TTD. From the 100 trees evaluated, 10 trees with low TTD infection (LD trees) and 10 trees with high TTD infection (HD trees) were selected and tagged for sample collection (Figure 2).

2.3. Sample Collection

Leaf samples were collected from each of the ten LD and HD trees in January 2022 to compare the nutritional status of trees with low- and high-dieback infections. Twenty mature, healthy green leaf samples were randomly selected from healthy twigs located at the top, bottom, east, and west sides of each tree. In addition, MTTD-affected leaves were collected to assess the effects of dieback on nutrient absorption. The MTTD-affected leaves were those that dried because of MTTD but were still attached to the twig and surrounded by green leaves on the opposite side of the twig. Composite soil samples were collected from five LD and five HD trees. Each composite sample comprised soil samples taken from four points around the tree, approximately 1.5 m away from the trunk, using a soil auger with a sampling depth of 20 cm. All samples were placed in a tagged bag, immediately put into an esky with ice, and transported to the laboratory at Berrimah Farm Science Precinct in Darwin (12°26′38.79″ S, 130°55′46.61″ E) for processing.

2.4. Sample Processing and Analysis

Soil samples were air-dried in the laboratory, and leaf samples were washed with tap water and rinsed with reverse osmosis water before oven-drying at 60 °C until a constant dry weight was attained (72 h). Samples were sent to the CSBP Soil and Plant Analysis Laboratory (Perth, Australia) and analyzed according to the company’s laboratory procedure (https://csbp-fertilisers.com.au/services/lab, accessed on 5 November 2023). The analyzed soil parameters were pH, electrical conductivity (EC), available N, available P, available K, organic carbon (OC), exchangeable Ca, exchangeable magnesium (Mg), available sulfur (S), extractable B, extractable copper (Cu), extractable iron (Fe), extractable Mn, and extractable Zn. For the leaf samples, the macronutrients analyzed were total N, P, K, Ca, Mg, and S, while the assessed micronutrients were total B, Cu, Fe, Mn, and Zn. The total N level was determined using the Dumas high-temperature combustion method (Leco analyzer), modified by loading samples into a combustion tube at 950 °C and flushing with oxygen. The gases generated from this process were measured using a thermal conductivity cell for N [33]. All other nutrients were determined by digesting the sample in a hydrogen peroxide and nitric acid mixture, and the digests were read by inductively coupled plasma spectroscopy [34].

2.5. Sufficiency Levels for the Nutrient Status of the Leaves

The nutrient status of the mango trees was evaluated based on the following sufficiency levels: N = 1–1.5%; P = 0.08–0.18%; K = 0.3–1.2%; Ca = 2.0–3.5%; Mg = 0.15–0.40%; S = 0.5–0.6%; B = 50–80 mg/kg; Cu = 10–200 mg/kg; Fe = 70–200 mg/kg; Mn = 60–500 mg/kg; and Zn = 2–150 mg/kg [35].

2.6. Deviation from the Optimum Percentage (DOP) Index

The DOP index was calculated to diagnose imbalances in leaf minerals, according to Heras and Montañés [36]. The DOP index was computed using the following formula:
DOP = C × 100 C r e f
where C is the nutrient concentration in the sample, and Cref is the optimum nutrient concentration, according to Reuter and Robinson [35], which are: N = 1.25%, P = 0.13%, K = 0.75%, Ca = 2.75%, Mg = 0.275%, S = 0.55%, B = 65 mg/kg, Cu = 110 mg/kg, Fe = 135 mg/kg, Mn = 130 mg/kg, and Zn = 76 mg/kg. A negative DOP index indicates deficiency, whereas a positive DOP index indicates excess [37]. The ΣDOP was obtained by adding the values of DOP, and a greater ΣDOP indicates a greater imbalance among nutrients [38].

2.7. Nutrient RE

The impact of MTTD severity on nutrient RE (RED) was computed using the following formula:
R E D = ( 1 N D N G × M C F × 100 )
where NG and ND are the nutrient concentrations of green leaves and dried leaves in NTT-affected trees, respectively, and MCF is the mass loss correction factor used to compensate for the loss in leaf mass during leaf drying, which is the ratio of the dry mass of ND to the dry mass of NG (Figure 3a). Moreover, RED was compared with the mean RE of senesced (RES) leaves from five orchards of the same plant age (12°33′39.38″ S, 131°18′17.05″ E; 12°47′28.07″ S, 131°09′30.67″ E; 12°44′52.80″ S, 131°10′38.97″ E; 14°27′59.91″ S, 131°18′45.39″ E; and 14°32′24.90″ S, 132°28′6.20″ E), where there were no symptoms of MTTD. Senesced leaves were yellow leaves that were still attached to the twig but were easily knocked off with a slight touch (Figure 3b). The RES was computed using the following formula:
R E S = ( 1 N S N G × M C F × 100 )
where NG and NS are the nutrient concentrations of green and senesced leaves, respectively, and MCF is the ratio of the dry mass of NS to the dry mass of NG [39].

2.8. Statistical Analysis

The data on soil and leaf nutrient concentrations, DOP, RES, and RED were statistically analyzed by comparing the means between LD and HD trees using a two-sample independent t-test at the 5% level of significance. Normality and homogeneity of variance were checked using Bartlett’s test and Shapiro–Wilk’s test, respectively. Statistical analysis and visualization were carried out using GraphPad Prism version 10.0.0 software (www.graphpad.com, accessed on 5 November 2023).

3. Results

3.1. Soil and Leaf Nutrient Analysis

Our analysis showed that the soil properties of LD and HD trees were comparable (Table 1), but the leaf analysis displayed significant differences in nutrient contents between LD and HD trees (Figure 4). The results also showed that MTTD infections caused significant variations in certain nutrients; however, some nutrients maintained relatively consistent levels, regardless of MTTD severity. For example, the concentrations of Ca and Mg were higher (p < 0.001) in the LD trees (Ca = 1.37 ± 0.05%; Mg = 0.50 ± 0.05%) than in the HD trees (Ca = 1.07%; Mg = 0.37%).
A similar trend was also observed for the micronutrients Cu, Fe, Mn, and Zn, where their concentrations (mg/kg) were higher (p < 0.05) in the LD (Cu = 31 ± 8, Fe = 74.2 ± 3, Mn = 130 ± 7, and Zn = 17 ± 1) than in the HD (Cu = 10 ± 0.3, Fe = 58 ± 4, Mn = 83 ± 7, and Zn = 12 ± 0.7) trees. Thus, the total nutrient concentration was reduced by 22% for Ca, 26% for Mg, 68% for Cu, 22% for Fe, 36% for Mn, and 29% for Zn. Conversely, the K content was lower by 16% in LD (0.63 ± 0.02%) trees than in HD (0.75 ± 0.02%) trees (p < 0.01). Moreover, the levels of the macronutrients N, P, and S, as well as the micronutrient B content, were unaffected by MTTD infection because they were present in comparable (p > 0.05) amounts between LD and HD trees.

3.2. The DOP Index

The DOP index of mineral elements was determined to evaluate the deviation of the nutrient concentration from the optimum level [29,40,41,42]. Regardless of the MTTD level, most of the analyzed nutrients (N, P, Ca, Mg, S, B, Cu, Fe, and Zn) had a negative DOP index, indicating that their concentrations were below the optimum concentration (Figure 5a), and only Mg had a higher concentration than the optimum level owing to its positive DOP index. The comparison of DOP indices among LD and HD trees showed that the DOP index of K was below the optimum at low MTTD infection level (−15.5) and at the optimum level at high MTTD infection level (0.5), while the DOP index of Mn was optimum at low MTTD (−0.3) and below the optimum at high MTTD level (−35.9).
The results also showed that the DOP indices of N, P, S, and B were comparable (p > 0.05) in both LD and HD trees, but the former had a significantly lower negative DOP index for Ca (−57.4), Fe (−45.0), Mn (−0.3), and Zn (−67.8) than the latter (Ca = −61.0, Fe = −56.6, Mn = −35.9, and Zn = −83.6). Conversely, the DOP index for Mg was more positive in the LD (80.4) trees than in the HD trees (36.0). Figure 5b illustrates that both LD and HD trees had imbalanced nutrients, but the ƩDOP was more pronounced (p < 0.01) in the HD trees (477.7) than in the LD (427.1) trees, indicating that MTTD increases nutrient imbalances in mangoes.

3.3. Nutrient Resorption Efficiency

The RED among macronutrients and micronutrients significantly (p < 0.05) varied between LD and HD trees, except for Ca, Mg, B, and Mn (Figure 6). The RED was significantly lower for N (14.9%), P (39.4%), and S (14.6%) than RES (N = 45.1%, P = 61%, and S = 36.5%) but significantly higher for K (RED = 68.63%, RES = 36.8%). Among the micronutrients, the RED was significantly lower for Cu (−7.5%), Fe (−85%), and Zn (−14.7%) than RES (Cu = 53.9%, Fe = −13.1%, and Zn = 37.4%). Thus, MTTD led to a reduction in RE by 67% for N, 36% for P, and 60% for S, while increasing RE by 46% for K and causing the immobilization of Cu, Fe, and Zn.

4. Discussion

Plant disease management is a major concern for mango growers, and knowledge about the interplay between mineral nutrition and plant diseases is indispensable for effective crop management and promoting sustainability in agriculture moving forward. Both plants and pathogens require mineral nutrients, which play a significant role in their interactions [17,43]. This pilot study focuses on understanding the influence of MTTD on the mineral nutrition of mangoes. We found that there was no relationship between soil nutrients and MTTD severity, but leaf nutrient contents varied significantly between LD and HD trees (Table 1 and Figure 4). This result indicates a direct and significant impact on the nutrient content of tree leaves, independent of soil nutrient availability, as all trees may have similar opportunities for accessing nutrients from the soil and applied fertilizer. In oak tree decline, Azim Nejad et al. [44] also reported that the physical and chemical properties of soil are not determinant factors. Moreover, there were no significant differences in the soil properties of samples collected from healthy trees and those infected with HLB; thus, it is unlikely that the difference in foliar mineral concentrations between infected and PCR-negative trees was due to the differences in soil [45].
The findings also demonstrated that MTTD severity significantly alters several nutrients’ levels (total Ca, Mg, Cu, Fe, Mn, and Zn), while others (total N, P, S, and B) remain at comparatively constant amounts, regardless of the severity of MTTD (Figure 4). This result indicates that the impact of MTTD is nutrient-specific. It also corroborates a study showing the variable effects of diseases on the nutrient content of citrus [41], coconut palm [46], and cacao [47]. For example, in Valencia oranges, the severity of the citrus decline index is negatively correlated with Ca, Mg, S, and B and positively correlated with high leaf N, P, K, Cu, and Mn indices in the leaves [41]. Moreover, healthy coconut palms had higher macronutrient (N, P, K, Ca, Mg, and S) and micronutrient (B and Cu) uptake levels than those with root wilt disease trees, while Mn and Zn were comparable between healthy and diseased trees [46]. In cacao, leaves infected with witches broom disease caused by Monoliophtora perniciosa had lower Ca, Mg, S, Fe, and Mn contents in healthy leaves than diseased leaves. Moreover, P and Cu contents were higher in diseased leaves than in healthy leaves, but N, K, and Zn were comparable between healthy leaves and leaves of vegetative broom, indicating differential changes in the concentration of nutrients in the presence of M. perniciosa infection [47]. Thus, the nutritional component of leaf disease varies depending on the crop.
The increase in K in the leaves of HD trees (Figure 4 and Figure 5) is in line with the report of Putiska et al. [45], showing that a significant negative relationship (r = −0.71) existed between the symptom severity of HLB and concentrations of K in Siem mandarin (Citrus reticulata) in Indonesia. Spann and Schumann [43] also observed an elevated concentration of K in citrus (C. sinensis) infected with HLB in three out of four orchards. They attributed this increase to the diminished growth of the trees and an apparent concentration of K induced by HLB. Furthermore, the findings in this study, where HD trees exhibited high K and low Ca leaf contents, suggest a negative interaction between these nutrients. This interaction could be explained by the competition for the same absorption sites in the plant [48]. Maintaining a balanced level of Ca and K has been shown to reduce the severity of disease and defoliation caused by the fungus Calonectria pteridis in eucalyptus plants. The elevation in K levels may have contributed to a decrease in the stomatal closure response and an increase in stomatal opening movement, potentially facilitating infection by the pathogen. Ca2+ acts as a vital secondary messenger in plant cells, facilitating the transmission of signals triggered by pathogen recognition receptors and other immune-related receptors necessary for mounting effective defense responses [49]. Under insufficient Ca concentration, substances such as sugars and amino acids may leak into the apoplast, providing the pathogen with resources for its growth and development [48,50,51]. Moreover, low Ca2+ concentrations may disrupt essential plant signaling pathways crucial for responding to pathogen infections, hindering the activation of defense genes, reactive oxygen species production, and the synthesis of defense hormones like salicylic acid and jasmonic acid [49].
Our study also showed that HD trees experienced more pronounced nutrient imbalances (Figure 5), which may have predisposed the plants to disease susceptibility. Studies have shown that orchards with higher nutrient imbalance indices recorded higher disease severity [16,41,48,52]. The specific nutrient imbalances observed in HD trees may have implications for their health and growth, highlighting the importance of integrated nutrient and disease management strategies in mango production to address these imbalances and promote tree health. The emphasis on balanced nutrition as the first line of defence against diseases in crops stresses the significance of providing plants with the necessary nutrients to increase their natural defences. It is a preventive measure that supports plant health, resilience, and sustainable crop management strategies [17,53]. According to Tadayon and Sadeghi [41], balanced nutrition management could reduce the severity of citrus decline in Valencia orange orchards by increasing the leaf concentrations of Ca, B, S, and Mg, as higher concentrations of these nutrients were positively correlated with a lower citrus decline severity index. In our earlier report, we found that the imbalance of nutrients such as Ca/Cu, B/Mn, and Fe/Zn ratios may have contributed to the development of RCD mangoes, a quality defect that appears during fruit ripening and reduces the market price and consumer appeal of mango fruits [6].
Leaf nutrient RE plays an important role in determining plant nutrient-use strategies. It is a mechanism used by plants to recover nutrients from senescing leaves before abscission, allowing the plants to conserve nutrients by remobilizing them and making them available for reuse [54,55,56]. This is an important resource conservation strategy for mangoes in the NT, where the soil has a low fertility level [57]. Thus, determining the RED provides information on the influence of MTTD on nutrient movement and resource economy in mangoes.
This study showed that MTTD significantly reduced the nutrient RE of the macronutrients N, P, and S and the micronutrients Cu, Fe, and Zn in dieback-affected leaves (Figure 6). However, MTTD infections increased the RE of K but did not affect Ca, Mg, and Mn, indicating that MTTD influences most of the mobile elements and less of the immobile elements. According to previous reports, Ca and Mn have poor mobility in the phloem sap, while N, P, K, S, Cu, Fe, and Zn are mobile elements [23,58,59,60]. Though not as low as that of Ca, Mg transport is likewise low in both the xylem and phloem [23,60]. A high concentration of nutrients in leaves coupled with low nutrient resorption typically indicates a strategy where plants invest resources extensively for rapid growth and development. Conversely, a low concentration of nutrients in leaves, along with high nutrient resorption, signifies a strategy where plants conserve nutrients, prioritizing survival and reproduction over immediate growth [56]. Moreover, the increase in KRE in this study could be explained by the increase in K concentration in the leaves as affected by MTTD infection (Figure 4). The reduction in nutrient resorption efficiency would also mean that plants would have to increase their nutrient intake from the soil, which would be more costly in low-nutrient environments [54]. This is detrimental to the nutritional economics of trees because it can shorten leaf lifetime, limit photosynthetic capacity, and lessen internal nutrient cycling [61]. Furthermore, the current season’s slower growth will have a cumulative effect on the upcoming years as nutrient reserves in perennial tissues are depleted [62].
Overall, information on the nutrient–disease interaction is important owing to the various roles of nutrients in disease management, including forming robust cell walls, generating natural defense compounds like phytoalexins and antioxidants, fostering flavonoid production, and activating enzymes involved in phenol and lignin synthesis [17,53,63]. N stands as a vital element for mango trees, crucial in improving vigor, promoting vegetative growth, and supporting physiological development. P plays a pivotal role in cell division, developmental processes, and the creation of sugar phosphate molecules, while K aids in pathogen and insect resistance, regulates water uptake, and influences the quality of fruits. Ca contributes to membrane stability and reinforces cell walls. It also holds particular significance during the initial growth stages following mango harvesting, preserving fruit firmness. Mg is indispensable for chlorophyll production, while S supports enzymatic functions and protein synthesis [16,23,64]. Micronutrients such as B, Cu, Fe, Mn, and Zn are crucial for overall plant health. Fe and Mn aid in chlorophyll synthesis, and Zn plays a key role in protein formation and regulates water movement in mango plants. Moreover, B facilitates cell division, ensuring effective pollination and fruit development, while Cu is vital for photosynthesis by lignifying cell walls to enable efficient carbohydrate and water transport within the plant [16,23,64,65]. Fluctuations and imbalances in these nutrient levels can significantly impact plant responses during pathogen infections by affecting nutrient uptake, transport, or metabolism; weakening antioxidant defenses; and compromising overall defense mechanisms against pathogens [18,20,23,42,47,48]. Thus, maintaining optimal nutrient levels is crucial for bolstering plant resilience and enhancing their ability to combat infections effectively.

5. Conclusions

This study focused on MTTD and its impact on the mineral nutrition of KP mango trees, shedding light on significant differences in nutrient concentrations between trees with low and high MTTD infection levels. Nutrient concentrations of total Ca, Mg, Cu, Fe, Mn, and Zn were lower in HD trees compared to LD trees. Conversely, K was higher in the former than in the latter. Based on sufficiency range values, the order of deficiency can be Ca > S > Fe > N > B > Cu > Zn > P > Mn > K > Mg in HD trees. The DOP analysis also showed that the deficiency in total Ca, Mn, and Zn was less pronounced in LD trees than in HD trees, contributing to exacerbated overall nutrient imbalances in the latter. Moreover, RED showed significantly lower values compared to RES for total N, P, S, Cu, Fe, and Zn, but notably higher values for total K. The results indicate the need for targeted nutrient interventions to rectify MTTD-induced imbalances and bolster mango tree health and resilience against MTTD infections. However, these findings may be limited by the complex interactions affecting mineral nutrient absorption and translocation within plants, including environmental factors such as radiation, relative humidity, vapor pressure deficit, and plant water status.

Author Contributions

Conceptualization, C.A.A. and A.N.; methodology, C.A.A. and A.N.; software, C.A.A.; formal analysis, C.A.A. and A.N.; investigation, C.A.A. and A.N.; data curation, C.A.A.; writing—original draft preparation, C.A.A. and A.N.; writing—review and editing, C.A.A. and A.N.; visualization, C.A.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The original contributions presented in the study are included in the article, further inquiries can be directed to the corresponding author.

Acknowledgments

We acknowledge the management of the mango orchard for providing access to the mango trees, Jose Liberato for assistance in site selection and providing pictures, and the NT DITT for the internal fund to conduct this study.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Photographs of MTTD infection symptoms in KP mangoes show a dark longitudinal lesion on one side of the last twig flush (a,c,d) with dried levels and green leaves on the unaffected side (a) that later dried out at the advanced stage (b) (photo credit: J. Liberato, NT DITT).
Figure 1. Photographs of MTTD infection symptoms in KP mangoes show a dark longitudinal lesion on one side of the last twig flush (a,c,d) with dried levels and green leaves on the unaffected side (a) that later dried out at the advanced stage (b) (photo credit: J. Liberato, NT DITT).
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Figure 2. KP mango trees with low MTTD infection (LD trees) symptoms (a) and high MTTD infection (b) symptoms. LD trees had less than 10% MTTD, while HD trees had 50% MTTD, and Level 4 trees had more than 50% MTTD. The left side shows the whole tree picture, while the right side shows a close up of the MTTD infection and its symptoms (photo credit: C. Asis).
Figure 2. KP mango trees with low MTTD infection (LD trees) symptoms (a) and high MTTD infection (b) symptoms. LD trees had less than 10% MTTD, while HD trees had 50% MTTD, and Level 4 trees had more than 50% MTTD. The left side shows the whole tree picture, while the right side shows a close up of the MTTD infection and its symptoms (photo credit: C. Asis).
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Figure 3. Photograph of dried leaves from dieback infection (a) and senescing leaves (b) of KP mangoes (photo credit: C. Asis).
Figure 3. Photograph of dried leaves from dieback infection (a) and senescing leaves (b) of KP mangoes (photo credit: C. Asis).
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Figure 4. Macronutrient (a) and micronutrient (b) concentrations in the healthy leaves of trees with low infection (LD, green bars) and high infection (HD, red bars) of twig-tip dieback on the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
Figure 4. Macronutrient (a) and micronutrient (b) concentrations in the healthy leaves of trees with low infection (LD, green bars) and high infection (HD, red bars) of twig-tip dieback on the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
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Figure 5. DOP indices of healthy leaf nutrients (a) and the summation of DOP (ƩDOP) of all nutrients (b) of trees with low infection (LD, green bars) and high infection (HD, red bars) of twig-tip dieback on the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
Figure 5. DOP indices of healthy leaf nutrients (a) and the summation of DOP (ƩDOP) of all nutrients (b) of trees with low infection (LD, green bars) and high infection (HD, red bars) of twig-tip dieback on the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
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Figure 6. A comparison of the macronutrient (a) and micronutrient (b) resorption efficiencies of healthy leaves (RES, yellow bars) and dieback-infected (RED, brown bars) leaves of the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
Figure 6. A comparison of the macronutrient (a) and micronutrient (b) resorption efficiencies of healthy leaves (RES, yellow bars) and dieback-infected (RED, brown bars) leaves of the KP mango cultivar. Vertical bars represent the standard error of 10 replicates. ns = no significant difference; * = significant at the 0.05 level; ** = significant at the 0.01 level; and *** = significant at the 0.001 level of significance.
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Table 1. Soil properties of the commercial mango orchard with varying levels of twig-tip dieback infection, Lambells Lagoon, Litchfield municipality, Northern Territory. ns indicates that there is no significant difference in the soil properties collected from LD and HD trees at the 5% level of significance (mean ± standard deviation; n = 5).
Table 1. Soil properties of the commercial mango orchard with varying levels of twig-tip dieback infection, Lambells Lagoon, Litchfield municipality, Northern Territory. ns indicates that there is no significant difference in the soil properties collected from LD and HD trees at the 5% level of significance (mean ± standard deviation; n = 5).
Soil PropertiesDieback Levelp-Value
LDHD
Soil pH (H2O)7.36 ± 0.137.26 ± 0.050.49 ns
Organic C (%)1.06 ± 0.110.93 ± 0.040.33 ns
EC (dS/m)0.04 ± 0.0080.03 ± 0.0030.46 ns
Total available N (mg/kg)1.23 ± 0.362.42 ± 0.390.06 ns
Available P (mg/kg)10.80 ± 1.9312.6 ± 2.440.57 ns
Available S (mg/kg)4.64 ± 1.715.22 ± 1.420.80 ns
Exchangeable K (cmol(+)/kg)0.16 ± 0.040.11 ± 0.010.23 ns
Exchangeable Ca (cmol(+)/kg)4.01 ± 0.553.66 ± 0.310.59 ns
Exchangeable Mg (cmol(+)/kg)2.70 ± 0.522.45 ± 0.270.68 ns
Extractable B (mg/kg)0.22 ± 0.020.21 ± 0.010.94 ns
Extractable Cu (mg/kg)2.19 ± 0.202.44 ± 0.310.54 ns
Extractable Fe (mg/kg)14.84 ± 0.7516.26 ± 0.740.21 ns
Extractable Mn (mg/kg)6.74 ± 2.384.97 ± 0.660.49 ns
Extractable Zn (mg/kg)8.26 ± 4.370.93 ± 0.040.33 ns
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Asis, C.A.; Niscioli, A. Impact of Twig-Tip Dieback on Leaf Nutrient Status and Resorption Efficiency of Mango (Mangifera indica L.) Trees. Horticulturae 2024, 10, 678. https://doi.org/10.3390/horticulturae10070678

AMA Style

Asis CA, Niscioli A. Impact of Twig-Tip Dieback on Leaf Nutrient Status and Resorption Efficiency of Mango (Mangifera indica L.) Trees. Horticulturae. 2024; 10(7):678. https://doi.org/10.3390/horticulturae10070678

Chicago/Turabian Style

Asis, Constancio A., and Alan Niscioli. 2024. "Impact of Twig-Tip Dieback on Leaf Nutrient Status and Resorption Efficiency of Mango (Mangifera indica L.) Trees" Horticulturae 10, no. 7: 678. https://doi.org/10.3390/horticulturae10070678

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