The olive tree (Olea europaea L.) is a crop, among the oilseeds, which has gained prominence within the world agricultural chain, concentrating basically on two products, olive oil and table olives. The world production of olives in 2014 was 15.4 million tons, in a cultivated area of 10.3 million hectares. Spain was the largest producer (4.6 million tons), followed by Italy (1.9 million tons), Greece and Turkey (1.8 million tons each) and Morocco (1.6 million tons). Together they accounted for 76% of the world’s supply. Alongside, Brazil occupied the thirty-sixth position, with production of 512 tons  .
However, the yield of olives can be seriously compromised because of climatic changes in areas of their greatest activity, or with need to introduce crop into unfavorable agricultural areas. Although it is a well-adapted plant to withstand relatively high solar radiation, low temperatures, dry and salinity  -  , the cultivation in acid soils is still a challenge to the crop, because it modify both, the growth and the nutritional balance of the plants   .
According to literature, it is documented that the olive tree is a species with tolerance to salinity    . However, when grown on acid soils information on aluminium tolerance is still scarce  . These soils comprise acidity ranging from 4.5 to 5.5  , high content of organic matter   , low availability of phosphorus  , as well as low calcium, magnesium and molybdenum contents  and high levels of extractable aluminium and manganese  . At pH ≤ 5.5, aluminium toxicity is the main stress factor for plants   , which limits crop production.
In acidic conditions there is an increased of trivalent cation (Al3+)   , which among all species of aluminium, is the more toxic available to the plant  . The first and most recognized effect of aluminium toxicity in plants is an inhibition of division and elongation of meristematic cells and, therefore, reduction in the growth of roots   . In the toxicity of aluminium, roots are thinner and dark, resulting in lower efficiency on absorption of water and nutrients, this effect is more pronounced in the seedlings than in adult plants  . Other effects include reduction of cellular respiration; high rigidity of the cell wall  ; and, inhibition of photosynthesis  .
The cultivation of olive orchards is expanding in countries with acid soil problems and aluminium toxicity, as well as in Brazil. The acid soils alter mainly characteristics related to the growth and development of the plants, as in the absorption of chlorophyll pigments necessary for the photosynthesis  , which results in changes in the plant height, stem diameter and in addition, they alter the nutrients in the leaves of the plants   . In this context, the current study aimed to investigate the morphophysiological responses with determinations of the plant height, stem diameter, chlorophyll content, and leaf nutrients of ‘Arbequina’ olive plant in acid soils.
2. Materials and Methods
2.1. Experimental Design
The experiment was conducted in a greenhouse on the Phytotecnia Department of the Eliseu Maciel School of Agronomy (FAEM), Federal University of Pelotas (UFPel) located at city of Capão do Leão (31˚48'13.57"S, 52˚24'54.18"W and 14 m elevation), Rio Grande do Sul, Brazil, from May to November 2016. The climate of the region according is of type Cfa, temperate humid with hot summers  . During the period of the experiment, minimum temperature was 13.1˚C and maximum 22.1˚C, 84.3% mean relative humidity and 140.7 mm mean precipitation  .
The material used originated from olive-tree plants (eight years) of cv. Arbequina. Each experimental unit was composed of a plastic vase with volumetric capacity of 10 liters, filled with sifted soil and classified as solodic Haplic Eutrophic Planosol, belonging to Pelotas mapping unit  , with a one year old plant approximately obtained by micropropagation. Were selected plants with the same height, stem diameter and phytosanitary status, free from diseases and pests. The soil used was analyzed for chemical and physical characteristics (Table 1). Olive plants were transplanted to vase in May 2016 and evaluated at 0, 30, 60, 90, 120 and 150 days after transplantation (DAT). The management and cultural practices were carried out following the technical recommendations of the crop  .
For evaluations of plant height, stem diameter and chlorophyll content, the experimental design was completely randomized, arranged in split-plot design, with five replications, each replicate being composed of three plants. The factor allocated to the main plots consisted of the time after the transplant, being 0, 30, 60, 90, 120 and 150 days after the transplant (DAT), and the factor arranged in the subplots was composed by pH with six levels 2.9 ; 3.1; 3.9; 4,3; 5.0; and, 6.3 (considered as a witness). For determination of the leaf nutrient content was followed the same experimental design and number of replications, but only the pH treatment factor was tested, at the same levels described previously.
The soil pH adjustment on the vases was carried out with H2SO4 (0.01 mM) from the sampling and analysis of 10 g of soil. The reading was performed with benchtop pHmeter (Quimis®, model Q400AS, São Paulo, Brazil) and Mettler
Table 1. Chemical and physical characteristics of the soil sample before the installation of the experiment.
Clay determined by the densimeter method. O.M.: organic matter by wet digestion. 1/Extraction method of Ca, Mg, Al and Mn of the soil that use KCl solution (1.0 mol∙L−1) as an extractor. 2/Method of extraction of P, K, Cu, Zn and Na of the soil using the Mehlich I solution (H2SO4 0.0125 mol∙L−1 + HCl 0.05 mol∙L−1) as an extractor. In all extractions the ratio of soil: extraction solution of 1:10 (sample mass of 5.0 g and volume of the extracting solution of 50 mL) was used. CEC: Cation Exchange Capacity.
Toledo electrode (Inlab 413) individually form per vase in 10 g of dry soil, diluted and homogenized in distilled water. The pH of the experimental units was established at the experiment installation, and weekly one pH measurement and adjustment were performed according to the determined levels.
2.2. Measurements of Morphophysiological Responses
One day after plant transplantation, the first evaluation was performed for plant height, stem diameter and chlorophyll content, who was considered the initial time (zero). Subsequently, these evaluations were performed every 30 days after the transplant date (DAT), totaling six evaluations. Plant height was determined using a millimeter ruler, measuring from 10 cm of soil height to the highest point of the plant and the results were expressed in centimeters (cm). The stems diameters were measured at 10 cm from the soil, using a digital caliper (Starret 727), and the results were expressed in millimeters (mm). The relative chlorophyll content (SPAD) was determined with the Soil Plant Analysis Development Chlorophyll Meter (SPAD-502, Minolta, Japan) by reading in median part of the leaf, in 30 leaves per experimental unit.
For the determination of leaf nutrient content, leaf collection occurred at’s 150 DAT. Each sample was composed of 200 leaves, 50 leaves were collected in each quadrant (north, south, east and west). Two to three leaves were collected per branch, in the middle third of outer branches of the top. The samples were stored in identified paper bags and sent immediately for chemical analysis, which was carried out at the Soil Analysis Laboratory of the Department of Soil of the Federal University of Rio Grande do Sul (UFRGS). The samples were dried at 65˚C in a kiln with forced air circulation and ground until completely sieved with a 2 mm mesh. The nutrients determined were nitrogen by the TKN method, by sulfur digestion and distillation (Kjeldahl), with limit of detection of 0.01% and results expressed as percentage (m/m), and total phosphorus, potassium, calcium, magnesium and sulfur by wet digestion in extracts of nitric-perchloric acids by optical emission spectrophotometry (ICP-OES) and detection limit of 0.01%, and the results were expressed as percentage (m/m). The total copper, zinc, iron, manganese and aluminium contents were also quantified by ICP-OES in wet digestion in extracts of nitric-perchloric acids and the results expressed in mg∙kg−1, with a detection limit of 0.3 mg∙kg−1 for copper, 1 mg∙kg−1 for zinc, 2 mg∙kg−1 for iron and manganese, and 10 mg∙kg−1 for aluminium. Boron was determined in dry digestion by ICP-OES, with limit of detection of 1 mg∙kg−1 and the results expressed in mg∙kg−1   .
2.3. Statistical Analysis
The data were analyzed for normality by the Shapiro-Wilk’s test; to homoscedasticity by the Hartley’s test; and, the independence of was by graphic analysis. Afterwards, data of plant height, stem diameter and chlorophyll content were submitted to the Response Surface Regression procedure (PROC RSREG), with analysis of the effects linear, quadratic and interaction linear of independent variables  . The fit of the model was based on low residuals; low p-value; low standard deviation; high coefficient of determination (R2) and R2 adj. and the lack of fit for the model, which was determined by analysis of variance (ANOVA), using the Response Surface Regression (RSREG) procedure. The lack of fit test is designed to determine whether the selected model is adequate for describing the observed data or whether a more complex model should be used. Statistical testing of the model was done by Fisher’s statistical test. The robustness of the model was assessed by the determination coefficient (R2), and F-test. Then, the second-order polynomial Equation (1) was fitted to the data of the response variables:
where y is the response variable; xi, xj are the input variables, which influence the response variable y; β0 is the intercepto; βi is the linear effect; βii is the quadratic effect and βij is the interaction between xi and xj.
For optimization an additional canonical rotational analysis was used the response surface, where the levels of the variables (x1, pH; x2, time after transplantation) (within the experimental range) were determined to obtain the response of each dependent variable studied. The optimization of the response functions consisted of the translation of the response function (yk) from the origin into the stationary points (x0). The response function was maximal when all roots obtained negative values, and minimum when all roots obtained positive values. If one of the roots has showed positive and negative values, a saddle point was characterized   .
For leaf nutrient content data, after verification of the assumptions, they were submitted to analysis of variance through the F-test (p ≤ 0.05). Statistically significant, the pH effect was evaluated by regression models (p ≤ 0.05), as per Equations (2)-(4):
where: y = response variable; yo = response variable corresponding to the minimum point of the curve; a = estimated maximum value for the response variable; b = slope of the curve; x = pH. The selection of the model was based on the low residue, low p-value, and high R2 and R2 adj. When no equation adjustment occurred, pH levels were compared with 95% confidence intervals, these intervals were plotted on the graph and the differences were considered significant when there was no overlap between the vertical bars.
3. Results and Discussion
3.1. Plant Height, Stem Diameter and Chlorophyll
The tests of normality, homoscedasticity and the independence of the residue showed that data transformation was not necessary. The ANOVA of the regression models indicated that the resulting models were highly significant (p < 0.05) and did not show a lack of significant adjustment. Thus, these models were used to describe the effects of independent variables (pH and time after transplant) on plant height, stem diameter and chlorophyll content (SPAD) of ‘Arbequina’ olive plants (Table 2).
Both the linear and quadratic effect of pH and the time after transplantation and your interaction were observed for plant height, stem diameter and chlorophyll content (SPAD) (Table 2). The resulting response surface equation described plants height perfectly (R2 = 0.80 and R2 adj = 0.78), together with the lack of fit which was not significative (p = 0.49) (Table 2 and Figure 1(a)). The relationship between plant height and independent variables was described by the established response surface model and from the canonical rotational analysis, the stationary point was minimal (Figure 1(a)). By the optimization it was obtained 76.63 cm of height with pH of 4.7 in 15.2 days after the transplant.
Plant height showed decreases in all pHs tested in the days following transplantation (up to 60 DAT) (Figure 1(a)). A similar result was obtained in guava,
Table 2. Results of the ANOVA for regression equation of plant height (cm), stem diameter (mm) and chlorophyll content (SPAD) of ‘Arbequina’ olive plants submitted to different soil pHs over time after the transplant.
SS, sum of squares; MS, mean square.
Figure 1. Plant height (cm) (a), stem diameter (mm) (b) and chlorophyll content (SPAD) (c) of ‘Arbequina’ olive plants submitted to different soil pHs over time after the transplant.
where the increase of aluminium doses resulted in a reduction in the height of the seedlings evaluated at 30 days  . However, in the extremely acidic pHs (3.1 and 2.9), which were responsible for the higher leaf aluminium contents (Figure 2(e)), the plant height values were higher than those verified at the initial pH (6.3). Thus, ‘Arbequina’ olive plants tolerated acidic pHs and these did not interfered with growth.
The stem diameter (R2 = 0.78 and R2 adj = 0.76) was explained by the response surface equation and the test for the lack of fit was not significative (p = 0.78), confirming that response surface equation adequately delineated the data (Table 2 and Figure 1(b)). For the stem diameter, the canonical and stationary point
Figure 2. Contents of nitrogen and phosphorus (a); potassium and calcium (b); magnesium and sulfur (c); copper and zinc (d); iron and manganese (e); and, aluminium and boron (f) on olive leaf ‘Arbequina’ submitted to different pHs. (Vertical bars represent confidence intervals 95%).
analysis indicated the saddle point (mixed signals of all eigenvalues) as a stationary point, suggesting that the movement away from these points caused increases or decreases in the response, depending on the direction of movement. By mathematical optimization, the optimal conditions were pH 5.7 and time after transplantation of 107 days, obtaining 7.17 mm of stem diameter.
At pHs 5.0; 4.3; and, 3.9 the stems diameters showed decreases up to 90 DAT. However, at pHs 3.1 and 2.9 the diameter increased and these values approached to the initial pH values (6.3) at both 120 and 150 DAT (Figure 1(b)). These results contradict those obtained in guava tree, where there was a reduction in stem diameter at 110 days  .
The p-value of the model (<0.0023) and the lack of fit not significative (p = 0.51) indicated that the experimental data obtained adjusted for the model established for the chlorophyll content (SPAD). The resulting regression equation had coefficient of determination (R2) of 0.83 and R2 adj. of 0.80, indicated that 83% of the total variation was explained by the model (Table 2 and Figure 1(c)). The canonical rotational analysis and the stationary point also indicated as stationary point the saddle point for chlorophyll content (SPAD) (Figure 1(c)). By mathematical optimization, the optimum conditions were 4.8 pH at 118.8 DAT. Under these conditions, the chlorophyll content (SPAD) was 78.45.
The highest reductions in chlorophyll content were observed on the initial days after transplantation at pH 4.3 and 3.9 (Figure 1(c)). This suggests that the occurrence of chlorophyll degradation and early senescence, probably due to the harmful effects of reactive oxygen species on chloroplasts   .
The high concentrations of aluminium in the soil hinder the development of the plant at the physiological and biochemical level, altering the photosynthetic rate, the total chlorophyll content and also inhibit the transport of electrons in the PSII   . This was not confirmed by measurements of the SPAD index, widely used as a non-destructive estimate of chlorophyll content. In the last evaluation (150 DAT), which coincides with the nutritional evaluation, high levels of aluminium were observed in the leaves at pHs 3.1 and 2.9 (Figure 2(e)), while the average values obtained for chlorophyll at these pHs were higher than pH 6.3. The plants were able to recover the chlorophyll content under high stress in acid soil, exceeding the initial value of chlorophyll, which shows that the ‘Arbequina’ olive plants were possibly tolerant to the action of aluminium  .
3.2. Nitrogen, Phosphorus, Potassium, Calcium, Magnesium, Sulfur, Copper, Zinc, Iron, Manganese, Aluminium and Boron
In all nutrients was observed significance for the pH effect (Figure 2). For the nitrogen data it was not possible to adjust regression models and the highest content was verified at pH 2.9 with a performance equal to pH 5.0. However, pH’s 4.3; 3.9; and, 3.1 did not differ from each other (Figure 2(a)). No large changes in nitrogen content were observed, in the pH 6.3 the contents of nitrogen was 2.2% and extreme acid (pH 2.9) was 2.6%. The Arbequina olive tree plants tolerate appropriately the acidic pHs, and in none of the evaluated pH did indicate that the leaf nitrogen concentration fall below the threshold of deficiency (1.4%)    . However, at pH 2.9 as the mean value was 2.6%, this value is already considered to be toxic to the plant   . Generally, elements such as potassium, boron, nitrogen and manganese are required by the plant in larger quantities at the time of flowering and fruiting  , moment who is not applicable in the study. As nitrogen is integral component of proteins, nucleic acids and many other organic structures in living cells  , this explains its abundance found in the leaves of this study.
The second-order inverse polynomial regression model was adjusted for the total phosphorus content (F = 5.3189, p = 0.018), with observed increases of 9.3; 12.9; 13.6; and, 6.3% for pHs 5.0; 4.3; 3.9; and, 3.1, respectively when compared to the control (pH 6.3) (Figure 2(a)). The foliar phosphorus content was adequate to the sufficiency range indicated for the culture of 0.1 to 0.3%  , revealing good capacity of absorption of the nutrient, since, regardless of the pH used and despite of mean value initial in soil, these maintained medium to high levels of phosphorus in foliar tissue. In the olive tree, phosphorus is removed in small quantities for fruit production and under pruning effect, compared to other macronutrients  , and the efficiency of absorption is also very low  .
For potassium (F = 3.4643, p = 0.05) the quadratic polynomial regression model was fitted (Figure 2(b)). When olive plants ‘Arbequina’ were subjected to acidic pHs 3.9 and 3.1 occurred decrease in potassium concentrations of 2.6 and 7.0%, respectively, compared to pH 6.3, and the maximum estimated was 1.47% potassium at pH 5.5. The potassium showed adequate concentration (>0.8%)   for all pHs tested, reaching 1.5% between pH 6.3 to 4.3 but not exceeding to 1.65%, which would be toxic to the plant. Although it is documented that potassium many times represents a nutritional problem in olive orchards   , even with decreases in the contents, the pH range tested did not represent a deficiency for the plant and without the need to apply high fertilizer rates.
Calcium (F = 12.1839, p = 0.0007) showed quadratic behavior (Figure 2(b)) and when the ‘Arbequina’ olive plants were submitted to pHs 3.9 and 3.1 showed increases of 14.6 and 6.5% in calcium contents, respectively, when compared to pH 6.3. By deriving the mathematical model, the maximum estimated was 0.92% of calcium with pH 4.5. Even with register of the increase in calcium content with the pH reduction, the mean values still remained within the range considered ideal for the crop, which recommends as deficiency values lower than 0.6%, adequate (optimal) between 1% - 1.43% and toxic when higher than 3.5%   .
Studies have shown that aluminium directly interferes with various channel proteins in the plasma membrane, thereby reducing the absorption of mono and divalent cations, such as potassium and calcium   . Aluminium-triggered stress was reported to reduce calcium through three mechanisms: (1) inhibition of calcium transport by simplastic pathway by aluminium, (2) disruption of calcium homeostasis in aluminium-induced cytoplasm, and (3) displacement of calcium by aluminium in apoplastic pathway   . In contrast to these reports, in this study (Figure 1(b) and Figure 1(f)) only a reduction in calcium content at extremely acidic pH (2.9) occurred, confirming that the ‘Arbequina’ olive plants were able to withstand the other pHs tested and that even with increases in aluminium content, did not reduce the absorption of this nutrient.
This indicates that another mechanism is involved in mitigating the effect of aluminium toxicity, for example, sequestration of this toxic element into metabolically less sensitive cell compartments such as vacuoles or activation of genes involved in defense antioxidant mechanisms     .
The data concerning the percentage of magnesium generated in olive leaves with the pHs studied were adjusted to the quadratic polynomial regression equation (F = 6.2469, p = 0.0106), obtaining a coefficient of determination (R2) of 0.76. Plants maintained at pH 5.0 generated the highest percentage of magnesium, increasing by 4.8% when compared to pH 6.3. So much so that the maximum estimated value was 0.22% of magnesium at this pH. Already, the second highest increase percentage (3.4%) was in the pH 4.3, also in relation to pH 6.3 (Figure 2(c)). In all tested pH, magnesium levels exceeded the range considered adequate (0.1 to 0.16%), but even so, the values obtained were not considered to be toxic because they remained below 0.69%   .
With the pH reduction the sulfur content increased and in the studied range (6.3 to 2.9) this response was linear (F = 23.4225, p = 0.0084), with R2 of 0.85, demonstrating appropriate adjustment of the data to established model (Figure 2(c)) with a 37% increase in sulfur content when comparing the pH 2.9 with the initial one (6.3). As with magnesium, the mean values obtained for sulfur exceed the range considered adequate (0.08% to 0.16%) and at pH 2.9 the sulfur content was 0.27%, close to the toxicity range for crop (>0.32%)   .
For copper (F = 4.6302, p = 0.0272) and zinc (F = 13.5331, p = 0.0315) were fitted squared polynomial regression models (Figure 2(d)). From the extremely acidic soil with pH 3.1 and 2.9, decreases of 17.0 and 20.3% were observed in the copper contents and, 28.9 and 33.5% for zinc, respectively, when both were compared to pH 6.3. By deriving the equations, the estimated maximum value was 8.0 mg∙kg−1 copper at pH 5.5 and 30.9 mg∙kg−1 zinc at pH 5.8. The leaf nutrient contents of the ‘Arbequina’ olive plants remained inside of range suitable for copper (4 to 9 mg∙kg−1), whereas for zinc the values exceeded sufficiency (10 to 24 mg∙kg−1), but were not considered toxic (>84 mg∙kg−1) for the plant   .
For iron data it was not possible to adjust regression models, and the highest content was found at pH 3.1 (156 mg∙kg−1) and lower at pH 4.3 (101 mg∙kg−1), which both of these differed from others. The records in the literature indicate as adequate values between 90 to 124 mg∙kg−1 of iron and as toxicity values greater than 460 mg∙kg−1. During the reduction of pH, there were increases in the iron content but did not reach to levels considered toxic   . Also, it is reported that the olive plants is tolerant to iron chlorosis  .
While the manganese response in the pH ranges tested was represented by a quadratic polynomial regression model (F = 28.6551, p < 0.0001) (Figure 2(e)), with high percentages of increase from the reduction of pH, of 39.7; 49.5; 51.5; 47.6; 44.9% to 5.0; 4.3; 3.9; 3.1; and 2.9, respectively, when compared to the initial pH. The increase in manganese levels in leaves is also explained by the influence of soil pH, since the availability of this nutrient is increased at lower pH  . However, even with increased manganese levels, levels remained close to indicated sufficiency for the crop (20 to 36 mg∙kg−1) at all pHs tested   .
Aluminium contents also characterized quadratic behavior with adequate adjustment of the data to the established model (F = 10.9869, p = 0.0012 and R2 = 0.60) (Figure 2(f)). Plants exposed to pHs 5.0; 3.9; 3.1; and 2.9 obtained increases in aluminium content of 13.1; 46.7; 84.1; 95.1%, when compared to pH 6.3. Aluminium-toxicity is an important stress factor for plants  , limiting plant growth, development and the subsequent performance of commercial crops  in various parts of the world with acidified soils. In this study, the decrease of the pH levels and the increase of the concentration of aluminium, modified the concentrations of nitrogen, phosphorus, potassium, calcium, magnesium, manganese and zinc in the leaves. Therefore, excessive accumulation of aluminium in the leaves did not reduce the absorption, translocation and accumulation of these nutrients in the tissues of the plants and, therefore, was not responsible for imbalances and mineral deficiencies, as well as did not occur reduction of plant growth, contrary to the results obtained by Rouphael et al.  . This behavior raises the possibility that the cultivar ‘Arbequina’ is tolerant to aluminium  .
For the boron data (F = 5.0436, p = 0.0211), the quadratic polynomial regression model (Figure 2(f)) was adjusted, with higher increases, of 8.4 and 10.0% verified for pHs 3.1 and 2.9, respectively, when confronted at pH 6.3. Boron foliar content was adequate for the crop sufficiency (19 to 150 mg∙kg−1) at all pHs tested   .
The growth of ‘Arbequina’ olive plants, evaluated by plant height, stem diameter and chlorophyll content (SPAD), is not prejudiced by acidic pH up to 150 DAT. For the different pH levels tested, the nitrogen, phosphorus, potassium, calcium, magnesium, sulfur, copper, zinc, iron, manganese and boron foliar contents are adequate for the olive crop, except nitrogen at pH 2.9. The ‘Arbequina’ olive plants adequately support acidic soils even with accentuated additions in the foliar aluminium content.
The authors express their gratitude to the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).
Conflicts of Interest
There are no conflicts of interest in present study.
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