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

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 $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 [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 die-back symptoms are not frequently found on young trees, its intensity appears to increase with the plant age [13]. Some visible symptoms of common dieback include gummosis, vascular discoloration, 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 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 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 it from common dieback (Figure 1). The etiology of MTTD, if 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. MTTD occurrence 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 tree age [16].

Mineral nutrition is important not only 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 system 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, 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 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 defense, 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 mango. In citrus, the effects of Huanglongbing (HLB) pathogen infection 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 if 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 15 mango orchards surveyed for the occurrence of MTTD [16] and does not receive phytosanitary treatments. The soil was classified as red Kandosol with sandy loam soil texture. The climate is characterized by a pronounced rainy season from July to October, with 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. 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 comprises soil samples taken from four points around the tree, approximately 1.5 meters 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 in 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 hr). 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). 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 micronutrients were total B, Cu, Fe, Mn, and Zn. Total N was determined using the Dumas high-temperature combustion method (Leco analyzer), modified by loading samples into a combustion tube at 950^oC 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 digests were read by inductively coupled plasma spectroscopy [34].

2.5. Sufficient Levels of 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 formula:

$$\mathrm{D}\mathrm{O}\mathrm{P}=\frac{\mathrm{C} \mathrm{x} 100}{\mathrm{C}\mathrm{r}\mathrm{e}\mathrm{f}}$$

(1)

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 (RE_D) was computed using the formula:

$${\mathrm{RE}}_{\mathrm{D}}= (1-\frac{\mathrm{N}\mathrm{D}}{\mathrm{N}\mathrm{G}} \mathrm{x} \mathrm{MCF}) \mathrm{x} 100$$

(2)

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 of leaf mass during leaf drying, which is the ratio of the dry mass of ND to the dry mass of NG (Figure 3a). Moreover, RE_D was compared with the mean RE of senesced (RE_S) 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; 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). RES was computed using the formula:

$${\mathrm{RE}}_{\mathrm{S}}=(1-\frac{\mathrm{N}\mathrm{S}}{\mathrm{N}\mathrm{G}} \mathrm{x} \mathrm{MCF}) \mathrm{x} 100$$

(3)

where NG and NS are the nutrient concentrations in 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, RE_S, and RE_D 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 done using GraphPad Prism version 10.0.0 software (www.graphpad.com).

3. Results

3.1. Soil and Leaf Nutrient Analysis

Analysis showed that the soil properties of LD and HD trees were comparable (Table 1), but leaf analysis displayed significant differences in nutrient contents between LD and HD trees (Figure 4). The results also showed that MTTD infection 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 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, 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. 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. 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 the HD trees (36.0). Figure 5b illustrates that both LD and HD trees had imbalanced nutrients, but ƩDOP was more pronounced (p < 0.01) in the HD trees (477.7) than the LD (427.1) trees, indicating that MTTD increases nutrient imbalances in mangoes.

3.3. Nutrient Resorption Efficiency

The RE_D among macro- and micronutrients significantly (p < 0.05) varied between LD and HD trees except for Ca, Mg, B, and Mn (Figure 6). RE_D was significantly lower for N (14.9%), P (39.4%), and S (14.6%) than RE_S (N = 45.1%, P = 61%, and S = 36.5%) but significantly higher for K (RE_D = 68.63%, RES = 36.8%). Among micronutrients, RE_D was significantly lower for Cu (-7.5%), Fe (-85%), and Zn (-14.7%) than RE_S (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 mango. 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, Figure 4). The 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 orange, 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 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 [35], 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 mango, a quality defect that appears during fruit ripening, 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 RE_D 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 macronutrients N, P, and S and micronutrients Cu, Fe, and Zn in dieback affected leaves (Figure 6). However, MTTD infection 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 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 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, regulating water uptake, and influencing 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 regulating 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 infection 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 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. 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.