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. 2024 Mar 11;15:1300683. doi: 10.3389/fpls.2024.1300683

Effect of nitrogen, phosphorus and potassium fertilization management on soil properties and leaf traits and yield of Sapindus mukorossi

Juntao Liu 1,2,3,†, Dongnan Wang 4,†, Xiaoli Yan 5, Liming Jia 1,2,3,*, Na Chen 1, Jiajia Liu 1, Pengli Zhao 1, Ling Zhou 1, Qiuli Cao 1
PMCID: PMC10961425  PMID: 38529062

Abstract

Rational fertilization is the main measure to improve crop yield, but there are differences in the optimal effects of nitrogen (N), phosphorus (P) and potassium (K) rationing exhibited by the same crop species in different regions and soil conditions. In order to determine the optimum fertilization ratio for high yield of Sapindus mukorossi in western Fujian to provide scientific basis. We carried out the experimental design with different ratios of N, P and K to investigate the effects of fertilization on the yield. and leaf physiology of Sapindus mukorossiand soil properties. Results showed that the yield of Sapindus mukorossi reached the highest value (1464.58 kg ha-1) at N2P2K2 treatment, which increased to 1056.25 kg ha-1 compared with the control. There were significant differences in the responses of soil properties and leaf physiological factors to fertilization treatments. Factor analysis showed that the integrated scores of soil factors and leaf physiological characteristic factors of Sapindus mukorossi under N2P2K2 fertilization treatment were the highest, which effectively improved the soil fertility and leaf physiological traits. The yield of Sapindus mukorossi showed a highly significant linear positive correlation with the integrated scores (r=0.70, p<0.01). Passage analysis showed that soil available nitrogen content, organic carbon content, and leaf area index were the key main factors to affect the yield. RDA showed that soil organic carbon and available phosphorus were the most important factors to affect leaf physiological traits. We recommend that the optimum fertilization ratio of Sapindus mukorossi was 0.96Kg N, 0.80Kg P and 0.64Kg K per plant. Reasonable fertilization can improve soil fertility and leaf physiological traits, while excessive fertilization has negative effects on soil fertility, leaf physiology and yield. This study provides theoretical support for scientific cultivation of woody oil seed species.

Keywords: Sapindus mukorossi, rational fertilization, soil properties, leaf traits, yield, factor analysis, path analysis

1. Introduction

With the increasing global demand for energy, bioenergy species have received widespread attention as an emerging and promising energy resource (Xu et al., 2023). As an energy species, Sapindus mukorossi, distributed in tropical and subtropical regions of China, is widely used in biomedicine, bioenergy and cosmetics (Zhao et al., 2019; Wang et al., 2021; Xu et al., 2021; Liu et al., 2022). The whole plant of Sapindus mukorossi, including its fruits, roots, bark and leaves, has been used widely in traditional medicine in China (Xu et al., 2023). For instance, Saponin, extracted from the pericarp (protein content of about 22%) of Sapindus mukoross, is become a good foaming agent and pesticide. And the kernel of the soap berries contains about 40% fatty acids, which can be used to produce biodiesel and advanced lubricants. It is also a woody oilseed species that has been promoted for use in recent years (Xu et al., 2022). Only in Fujian Province in Chinese, the planting area reaches 20000 ha, which is one of the main production areas. However, under the previous planting mode of rough management, the yield and quality of Sapindus mukorossi were low (Gao et al., 2018, 2022). Therefore, it is a key issue to improve the yield of Sapindus mukorossi. Previous studies have found that scientific fertilization is the most direct and effective method to improve the yield, except good seed selection, density control, and shaping and pruning mixed plantation (Gao et al., 2018; Zhang et al., 2019; Zhou et al., 2020; Uçgun and Altindal, 2021; Liu et al., 2022; Xiang et al., 2022). It has been shown that nitrogen (N), phosphorus (P) and potassium (K) fertilization has a significant effect on soil physical and chemical properties of cash crops, and fertilization promotes root and inter-root microbial exudation, the effectiveness of soil fast-acting nutrients that can be directly absorbed and utilized by the plant, which ultimately affects the yield (Brunetto et al., 2015; Liu et al., 2021; Li et al., 2022). However, current research on the effect of fertilization on yield in Sapindus mukorossi focuses on the role of single nutrient fertilizers, while the interaction between N, P, and K on how it affects the yield of Sapindus mukorossi is yet to be studied.

The application of fertilizers in different ratios between N, P and K is a balanced fertilization method. Balanced fertilization refers to the application technology of reasonable fertilizer dosage and ratio based on the fertilizer demand characteristics of crops, soil fertilizer supply performance and fertilizer dosage to maintain nutrient balance between the proposed fertilizer dosage and ratio. For example, Zhang et al. (2023) showed that N, P and K fertilizers have different effects on fruit yield and quality, of which K fertilizer is the main factor affecting yield and quality, and reasonable fertilization can significantly improve the yield and fruit quality of blueberries (Vaccinium virgatum). Yin et al. (2018) found that the crop of mung bean (Vigna radiata) has a significant increase with N, P and K fertilizers. Relevant studies have shown that moderate nitrogen, phosphorus, and potassium fertilization can effectively increase the nutrient content of plant leaves and soil, thereby increasing crop yield and quality (Zhang et al., 2020; Wan et al., 2021; Zhang et al., 2022). Proper fertilizer management can maximize lettuce biomass production, but excessive fertilizer supply can lead to disease episodes that impair leaf and root development and nitrate accumulation (Shi et al., 2021). In addition, excessive fertilizers will also cause soil acidification leading to severe soil nutrient imbalance, which induces leaf nutrient imbalance and ultimately affects yield and economic efficiency (Raliya et al., 2017; Xue et al., 2020). Therefore, the proportions of N, P, and K are often unbalanced due to the lack of scientific ratios in actual production, which affects the uptake and utilization of nutrients by plants, and reduces yield and quality, and increases the risk of nutrient loss and environmental pollution (Rahman and Zhang, 2018). Therefore, an appropriate ratio of N, P and K can significantly promote plant growth and reduce the usage of different fertilizers relatively (Yang et al., 2020).

Fertilizer application can directly or indirectly change the physical and chemical properties of soil, thus altering soil productivity (Li et al., 2020; Ren et al., 2020; Hou et al., 2023). Li et al. (2019) found that fertilizer application had a significant effect on soil available nutrients and yield of citrus, but soil available nutrients and yield showed an increasing and then a decreasing trend. Reasonable combination of N, P, and K application can improve soil nutrients and fruit yield (Mete et al., 2015; Zhang et al., 2020). Whereas, excessive fertilization will result in lower N, P and K content in the soil (Li et al., 2019). Meanwhile, fertilization has significant effects on leaf functional traits (Bassi et al., 2018), such as chlorophyll content (Xiong et al., 2015), non-structural carbohydrates (Sun et al., 2020), and leaf nutrients (Liu et al., 2021). For example, Sardans et al. (2017) found that in temperate forests, fertilization increased leaf nitrogen content, while the effect on phosphorus content was not significant (Sardans et al., 2017). Bassaco et al. (2018) found that the addition of N, P, and K fertilizers had a boosting effect on specific leaf area, soluble sugar content, protein content, and photosynthetic rate of eucalyptus (Eucalyptus urograndis) (Bassaco et al.2018), however, over-fertilization can negatively affect the morphological and chemical traits of leaves. For example, excessive nitrogen fertilization can have a negative effect on leaf physiological traits of banana (Musa nana) and reduce soil nutrient content (Sun et al., 2020). In conclusion, under- or over-fertilization can have an effect on soil physical and chemical properties, leaf traits, and yield of plants (Yang et al., 2020; Zhang et al., 2020).

In this study, we used 6-year-old Sapindus mukorossi as a test material, and adopted the “3414” fertilizer formulation method, focusing on which fertilizer rate is the most effective and which soil properties and leaf traits play a key role in yield. Three hypotheses were formulated as follows: (1) Is yield highest at the highest N, P and K fertilization rate? (2) Determine the major soil and leaf factors that influence Sapindus mukorossi yield; (3) Which leaf traits influence soil nutrients under different NPK fertilization treatments. Meanwhile, we explore Sapindus mukorossi yield and the combined scores of soil and leaf factors to estimate the optimal fertilization ration. This study can further determine the optimal ratio and mechanism of N, P and K fertilization of Sapindus mukorossi in western Fujian, and provide theoretical support for scientific improvement of Sapindus mukorossi yield.

2. Materials and methods

2.1. Study site

The study site was located in Jianning County, Sanming City, Fujian Province (116°47′20″E, 26°40′3″N), with an average annual temperature of 17.0°C, an average annual rainfall of 1,792 mm, and a relative humidity of 84%. The soil of the test site was sandy clay loam, with soil organic carbon content of 7.75 g kg-1, total nitrogen content of 1.40 g kg-1, total phosphorus content of 0.36 g kg-1, total potassium content of 27.95 g kg-1, fast-acting potassium content of 48.16 mg kg-1, effective phosphorus content of 1.32 mg kg-1, and alkaline dissolved nitrogen content of 36.01 mg kg-1.The raw material forest of Sapindus mukorossi was the asexual line of ‘Yuanhua’, with an average height of 2.38 m, an average diameter of 6.97 cm, and an average crown width of 2.4 m × 1.4 m. The average height was 2.38 m, with an average diameter of 6.97 cm. The average tree height was 2.38m, the average diameter was 6.97cm, and the average crown width was 2.4m×2.2m.

2.2. Experimental design

We conducted a field trial using a combination of different levels of nitrogen (N), phosphorus (P), and potassium (K) (0 level: 0kg/hm2 of N, P, and K; 1 level: 300kg/hm2 of N, 250kg/hm2 of P, and 200kg/hm2 of K; 2 level: 600kg/hm2 of N, 500kg/hm2 of P, and 400kg/hm2 of K; and 3 level: 900kg/hm2 of N, 750kg/hm2 of P, and 600kg/hm2 of K) fertilizers in combination with unfertilized control treatments, Fertilizer application rates are shown in Table 1 , and isolated rows were set up between treatment plots. Fertilizer was applied three times throughout the year, April 10 (flowering fertilizer, accounting for 30% of the total), July 20 (strong fruit fertilizer, accounting for 30% of the total), November 1 (post-harvest fertilizer, accounting for 40% of the total), using furrow fertilization method to apply fertilizer, according to the fertilizer dosage mixed into the application of the soil immediately after mulching, and other maintenance and management measures are the same as those of the control group. The test fertilizers were urea (containing N 46.0%) as the only source of N, calcium superphosphate (containing P2O5 12.0%) as the only source of P, and potassium sulfate (containing K2O 60.0%) as the only source of K.

Table 1.

Combination of factors and levels in each treatment.

Processing number Fertilization level (kg hm-2)
N P K
N0P0K0 0 0 0
N0P2K2 0 500 400
N1P2K2 300 500 400
N2P0K2 600 0 400
N2P1K2 600 250 400
N2P2K2 600 500 400
N2P3K2 600 750 400
N2P2K0 600 500 0
N2P2K1 600 500 200
N2P2K3 600 500 600
N3P2K2 900 500 400
N1P1K2 300 250 400
N1P2K1 300 500 200
N2P1K1 600 250 200
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N0, N1, N2, and N3 denote four N applications, 0, 300, 600, and 900 kg.hm-2, P0, P1, P2, and P3 denote four phosphorus applications, 0, 250, 500, and 750 kg hm-2, and K0, K1, K2, and K3 denote four potassium applications, 0, 200, 400, and 600 kg hm-2, respectively.

2.3. Plant and soil sampling

Soil sampling: On August 20, 2023, three randomly selected sampling points in each plot, respectively, 0-20cm soil samples, soil samples collected were divided into two parts, one part of the self-sealing bag to bring back to the laboratory to naturally dry 2mm sieve, for the determination of soil chemical properties; the other part of the 50ml centrifugal tubes, with an ice box to save the soil samples, brought back to the laboratory at a low temperature of 4 °C preservation for soil microbial biomass. Soil organic carbon was determined by potassium dichromate oxidation-external heating method, available nitrogen (AN) was determined by alkaline dissolution diffusion method, soil effective phosphorus was determined by molybdenum antimony colorimetric method, Soil available potassium was determined by flame photometric method, and pH was measured by using a mixture of soil and water (1:2.5) (Klotz et al., 2023; Lin et al., 2023). Microbial biomass carbon (MBC) and nitrogen (MBN) were measured by chloroform fumigation-K2SO4 extraction method assay (Borah et al., 2023; de Souza et al., 2023).

Leaf sampling: collected at the same time as soil samples. A standard branch was selected in the middle canopy of each tree and 20 well-developed, well-rounded leaves were collected from it. The upper part of the functional leaves on the main stem that were well developed and fully expanded without disease were selected and the middle and upper parts were sampled. The leaves were killed at 105°C for 30min, dried at 55°C until constant weight, crushed and sieved to determine the leaf nitrogen (N), phosphorus (P) and potassium (K) content. Leaf nitrogen content was determined by Kjeldahl method; leaf phosphorus content was determined by Molybdenum antimony colorimetric method; leaf potassium content was determined by flame photometric method (Yang et al., 2021).

Chlorophyll SPAD measurement: chlorophyll content was measured using a SPAD-502 portable chlorophyll meter prior to leaf sampling. Three SPAD readings were taken on the same leaves, eight plants per plot, and the average SPAD reading was calculated.

Leaf area index (LAI): The canopy leaf area index (LAI) of Sapindus mukorossi was determined by using the LAI-2200 plant canopy analyzer of Li-Cor, U.S.A. The horizontal direction of the instrument’s sensor probe was kept in the same level with the ground when the measurement was carried out.

Non-structural carbohydrates: soluble sugar and starch contents were determined by anthrone colorimetric method (Hajihashemi et al., 2020).

Yield determination: sapodilla was harvested at maturity. Sapindus mukorossi yield was calculated as the average yield of a single plant by weighing the weight through electronic scale after harvesting.

2.4. Statistical analyses

One-way grouped data were analyzed by analysis of variance (ANOVA) and multiple comparisons by the new complex extreme variance method (Duncan) using SPSS 21.0. The effects of different fertilization treatments on soil properties and physiological characteristics of sapodilla leaves were comprehensively evaluated by factor analysis. In factor analysis, principal component analysis (PCA) was used to extract factors from selected variances. It attempts to explain complex variance with a minimum number of factors that explain the variance better. Factors were extracted in the order of the weight of each factor. Factors with eigenvalues ≥ 1 change in the data were retained (Sun et al., 2020). Direct and indirect effects of soil and foliage factors on the yield of Sapindus mukorossi were evaluated using pathway analysis. The direct effects could be obtained from the direct path coefficients. Indirect effects were calculated from the equation of path coefficient × correlation coefficient. The relationship between leaf physiology and soil factors was analyzed using the R language Vegan package. First, the raw data were subjected to detrended correspondence analysis (DCA) to determine whether they were suitable for using the single-peak model (CCA) or the linear model (RDA). The results showed that the data of this experiment were analyzed using the redundancy of linear model. Important soil factors affecting the overall variation in leaf physiological attributes were investigated.

3. Results

3.1. Effect of different fertilization treatments on the yield of Sapindus mukorossi

Different fertilization treatments significantly affected the yield of Sapindus mukorossi ( Figure 1 ). The highest value of Sapindus mukorossi yield (1464.58 kg ha-1) was achieved at N2P2K2 treatment, which increased by 258.67% as compared to control.

Figure 1.

Figure 1

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Effects of different nitrogen, phosphorus and potassium fertilizers on the yield of Sapindus mukorossi. Different letters in the same column represent significant differences in sapodilla at p < 0.05 for different fertilization treatments (Tukey's test).

At the P2K2 level, the Sapindus mukorossi yield under each fertilization treatment showed a trend of increasing and then decreasing with the addition of N application, and there was no significant difference between fertilization treatments of N2P2K2 and N3P2K2. At the N2K2 level, the Sapindus mukorossi yield under each fertilization treatment showed a trend of increasing and then decreasing with the addition of P application, and there was a significant difference between treatments of N2P2K2 and N2P3K2. At the N2P2 level, the yield of Sapindus mukorossi under all fertilization treatments showed a trend of increasing and then decreasing with the addition of K, and there was a significant difference between N2P2K2 and N2P2K3 treatment.

3.2. Effect of different fertilizer treatments on soil properties

There were significant differences in the nutrient characteristics of Sapindus mukorossi soils with different fertilization treatments ( Table 2 ). Soil organic carbon, available phosphorus, available potassium, available nitrogen, microbial nitrogen, and microbial carbon contents were higher than the control except for soil pH. Compared with the control, the organic carbon, alkaline dissolved nitrogen, microbial nitrogen, available phosphorus, and available potassium contents of Sapindus mukorossi soils in fertilizer treatments were increased by 14.17%~52.53%, 3.36%~40.37%, 11.84%~46.50%, respectively, 118.58% to 407.08%, and 5.39% to 39.69%.

Table 2.

Soil properties under different fertilization treatments.

Treatment SOC content
(g.kg-1)		 Available P content
(mg.kg-1)		 Available K content
(mg.kg-1)		 Available N content
(mg.kg-1)		 pH MBN content(mg.kg-1) MBC content(mg.kg-1)
N0P0K0 11.08 ± 0.75h 1.13 ± 0.07h 81.79 ± 2.90g 90.21 ± 6.51f 5.02 ± 0.04a 10.30 ± 1.12e 124.89 ± 6.30f
N0P2K2 12.76 ± 0.53fg 2.47 ± 0.14g 93.57 ± 1.25cdef 93.49 ± 0.99f 5.09 ± 0.02a 12.18 ± 0.36cd 154.38 ± 13.61cd
N1P2K2 13.74 ± 0.81def 2.97 ± 0.08g 104.36 ± 1.54abc 105.59 ± 3.82cd 4.82 ± 0.07c 14.31 ± 0.78ab 133.19 ± 4.15ef
N2P0K2 13.52 ± 0.68defg 2.80 ± 0.45g 92.68 ± 4.55defg 97.36 ± 4.17ef 5.04 ± 0.02a 11.79 ± 1.91de 136.26 ± 8.41ef
N2P1K2 14.21 ± 0.67d 4.32 ± 0.58cde 86.17 ± 9.31fg 113.92 ± 5.86bc 4.84 ± 0.07c 12.36 ± 0.53cd 154.20 ± 8.77cd
N2P2K2 15.41 ± 0.68bc 5.29 ± 0.22ab 107.46 ± 6.89ab 126.66 ± 5.42a 4.82 ± 0.03cd 13.85 ± 1.35abc 173.57 ± 4.57ab
N2P3K2 14.05 ± 0.78de 5.73 ± 0.26a 88.81 ± 3.15efg 95.77 ± 5.23f 4.67 ± 0.05f 14.45 ± 1.12ab 166.46 ± 4.99bc
N2P2K0 12.99 ± 0.37efg 4.46 ± 0.29cd 96.26 ± 4.52cdef 109.63 ± 6.12cd 4.91 ± 0.03b 12.35 ± 0.35cd 167.75 ± 10.5bc
N2P2K1 15.68 ± 0.47b 4.78 ± 0.15bc 90.53 ± 7.27efg 106.3 ± 1.39cd 4.81 ± 0.04cd 13.05 ± 0.93bcd 184.16 ± 9.16a
N2P2K3 14.38 ± 0.34cd 3.84 ± 0.39ef 114.26 ± 10.78a 115.11 ± 3.88b 4.71 ± 0ef 11.52 ± 1.14de 163.58 ± 9.88bc
N3P2K2 13.85 ± 0.67de 4.85 ± 0.29bc 87.99 ± 4.36efg 123.92 ± 2.97a 4.56 ± 0.04h 13.30 ± 0.99abcd 156.85 ± 8.76cd
N1P1K2 16.90 ± 0.29a 3.96 ± 0.29def 98.40 ± 6.33bcde 103.93 ± 2.64de 4.78 ± 0.04cde 15.09 ± 0.88a 169.27 ± 7.73abc
N1P2K1 14.46 ± 0.28cd 3.57 ± 0.16f 94.70 ± 6.86cdef 111.74 ± 6.49bcd 4.80 ± 0.03cd 12.29 ± 0.55cd 183.05 ± 2.94a
N2P1K1 12.65 ± 0.41g 2.77 ± 0.26g 101.91 ± 3.44bcd 112.85 ± 4.27bc 4.74 ± 0.02def 11.72 ± 0.63de 143.59 ± 9.09de
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Different lower-case letters indicate significant difference between fertilization treatments at 0.05 level.

At the P2K2 level, except for pH, all other indexes showed a trend of increasing and then decreasing with the addition of N application, and the difference between fertilized treatments N2P2K2 and N0P2K2 was significant (p < 0.05), while there was no difference between available phosphorus, available nitrogen, and microbial nitrogen content with N3P2K2. At the N2K2 level, soil available phosphorus and microbial nitrogen contents showed a gradual increase with the increase in phosphorus application, and the differences were significant (p < 0.05) between N2P2K2 and N2P0K2 treatment. At the N2P2 level, the trends of soil organic carbon and available nitrogen were similar to those at the P2K2 level.

One-way ANOVA showed that different N, P and K treatments had significant effects on soil organic carbon, available phosphorus, available potassium, available nitrogen, microbial nitrogen and carbon contents. The results showed that the soil factors had different effects on the response of each fertilization, and the soil nutrient factor indexes increased its soil nutrient content gradually with the increase of fertilizer application. When the fertilizer application reached a certain amount, soil nutrient content reached their peak. But there will exist a decreasing trend, if the fertilizer continued to be increased.

3.3. Effect of different fertilization treatments on leaf traits

Different fertilization treatments had significant effects on leaf traits ( Table 3 ). The leaf area index, chlorophyll, soluble sugar, starch, nitrogen, phosphorus and potassium contents of Sapindus mukorossi leaves under all fertilization treatments increased and improved to different degrees compared with the control.

Table 3.

Leaf traits of Sapindus mukorossi under different fertilization treatments.

Treatment LAI Chlorophyll content
(SPAD value)		 Soluble sugar
(g.kg-1)		 starch
(g.kg-1)		 Nitrogen content
(g.kg-1)		 Phosphorus content
(g.kg-1)		 Potassium content
(g.kg-1)
N0P0K0 1.08 ± 0.13c 43.91 ± 0.51b 56.50 ± 2.03def 24.47 ± 1.86e 21.65 ± 1.20bcd 1.20 ± 0.15efg 18.61 ± 2.33cd
N0P2K2 1.13 ± 0.07bc 44.03 ± 0.80b 63.86 ± 1.87c 23.53 ± 2.33e 18.52 ± 0.95e 1.18 ± 0.10fg 18.57 ± 1.17cd
N1P2K2 1.20 ± 0.08abc 44.77 ± 1.50ab 54.32 ± 2.79fg 24.65 ± 1.43e 21.16 ± 0.29cd 1.35 ± 0.06cdef 18.93 ± 0.53cd
N2P0K2 1.18 ± 0.04abc 45.12 ± 0.63ab 66.24 ± 2.80bc 26.24 ± 0.56e 22.13 ± 0.75bcd 1.43 ± 0.11cd 19.77 ± 0.75c
N2P1K2 1.24 ± 0.06ab 44.72 ± 0.42ab 53.81 ± 2.67fg 25.58 ± 0.70e 23.21 ± 0.40ab 1.65 ± 0.10ab 21.75 ± 0.74b
N2P2K2 1.26 ± 0.01ab 46.89 ± 0.96a 60.02 ± 2.41d 39.38 ± 1.01a 22.64 ± 1.13abc 1.71 ± 0.09a 20.45 ± 0.53bc
N2P3K2 1.21 ± 0.06abc 43.38 ± 0.96b 68.72 ± 0.78ab 36.21 ± 2.10b 23.55 ± 1.38ab 1.28 ± 0.10defg 18.50 ± 0.66cd
N2P2K0 1.14 ± 0.11abc 44.48 ± 1.13b 56.19 ± 1.24defg 25.77 ± 1.80e 22.42 ± 1.03bc 1.52 ± 0.03bc 18.68 ± 0.58cd
N2P2K1 1.28 ± 0.10a 44.28 ± 0.86b 53.49 ± 2.02fg 29.13 ± 1.13d 20.72 ± 0.91cd 1.27 ± 0.08defg 18.71 ± 0.65cd
N2P2K3 1.22 ± 0.04abc 45.37 ± 1.26ab 59.71 ± 0.47de 32.20 ± 0.98c 23.32 ± 0.78ab 1.25 ± 0.01defg 19.01 ± 0.75cd
N3P2K2 1.19 ± 0.02abc 44.35 ± 0.94b 70.17 ± 1.64a 26.24 ± 1.96e 24.50 ± 1.06a 1.29 ± 0.11defg 24.47 ± 0.93a
N1P1K2 1.17 ± 0.05abc 44.89 ± 2.49b 52.46 ± 1.73g 31.17 ± 0.42cd 20.31 ± 0.65d 1.39 ± 0.15cde 19.31 ± 0.53cd
N1P2K1 1.27 ± 0.03ab 43.87 ± 1.27b 57.43 ± 1.12def 29.41 ± 1.70d 21.13 ± 0.76cd 1.14 ± 0.12g 17.62 ± 1.32d
N2P1K1 1.24 ± 0.07ab 44.99 ± 1.43ab 55.88 ± 3.27efg 25.59 ± 1.59e 22.25 ± 1.96bcd 1.28 ± 0.05defg 18.46 ± 1.24cd
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Different letters in the same column represent significant differences in sapodilla at p < 0.05 for different fertilization treatments (Tukey's test).

At the P2K2 level, leaf area index, chlorophyll, starch, phosphorus content indicators under each fertilization treatment showed a trend of increasing and then decreasing with the addition of nitrogen application, and reached the highest value in the N2P2K2 treatment, and soluble sugar, nitrogen, and potassium content showed a gradual increase with the addition of nitrogen application; at the N2K2 level, leaf area index, chlorophyll, starch, phosphorus content, and potassium content indicators of Sapindus mukorossi leaves increased and improved to different degrees with the addition of nitrogen application and potassium content indicators all showed an increasing and then decreasing trend with the addition of nitrogen application, and soluble sugar content showed a gradual increasing trend with the addition of nitrogen application; at the N2P2 level, leaf area index, chlorophyll, soluble sugar, starch, nitrogen, phosphorus and potassium content all showed an increasing and then decreasing trend with the addition of nitrogen application.

One-way ANOVA showed that fertilizer application had a significant effect on soluble sugar, starch, total potassium, total nitrogen, total phosphorus content, and yield of Sapindus mukorossi leaves, and there was no significant difference on leaf area index and chlorophyll content. In conclusion, leaf physiological traits were reached the highest value in N2P2K2 treatment, whatever applying different levels of N, P and K fertilizer.

3.4. Comprehensive evaluation of different fertilization treatments on soil factors and leaf traits

Soil factors and leaf physiological traits under each fertilization treatment were attributed into five factors by factor analysis with a cumulative contribution of 85.47% ( Table 4 ). Factor 1 contributed 39.12% to soil organic carbon (0.337), soil available nitrogen (0.334), and available phosphorus (0.369). The fertilizer combination with the highest score (4.49) for factor 1 was N2P2K2. This indicates that N2P2K2 was the most effective in improving the soil factors of sapodilla. Factor 2 contributed 17.01% with higher absolute factor loadings of leaf nitrogen and potassium content. Factor 2 was named as leaf nutrient factor. N1P1K2 fertilization combination had the highest factor 2 score (2.45). This indicated that N1P1K2 treatment was dominant in increasing the nutrient content of sapodilla leaves. Factor 3 contributed 14.00% positive factor loading for chlorophyll content (0.56) and was named as photosynthetic pigment factor. N2P2K2 treatment had the highest factor 3 score (2.25) indicating that N2P2K2 treatment was the most effective in improving photosynthetic physiological traits of leaves. Factor 4 contributed 8.21% and had the highest loading of soil quick potash (0.447) and was named as soil potassium nutrient factor. N2P2K3 treatment had the highest score (2.34) for factor 4 indicating that N2P2K3 treatment was the most effective in improving soil quick potash. Factor 5 contributed 7.12% with high absolute factor loadings of leaf soluble sugar and starch and factor 5 was named as sucrose metabolism factor. N2P1K2 treatment had the highest score (2.34) for factor 5 which indicated that N2P1K2 treatment was dominant in increasing sucrose metabolism in Sapindus mukorossi.

Table 4.

Composite scores under different fertilization treatments.

Treatment Factor 1
score (order)		 Factor 2
score (order)		 Factor 3
score (order)		 Factor 4
score (order)		 Factor 5
score (order)		 Integrated
score (order)
N0P0K0 -5.33 (14) -0.81 (11) 0.38 (8) -0.07 (7) -0.09 (9) -1.81 (14)
N0P2K2 -3.61 (13) 1.11 (4) -0.48 (9) -0.52 (9) -0.8 (11) -1.19 (13)
N1P2K2 -0.60 (10) 0.73 (5) 0.91 (6) 0.09 (5) 0.28 (6) 0.18 (8)
N2P0K2 -1.79 (12) -0.87 (12) 0.98 (4) -0.68 (11) -1.15 (12) -0.82 (12)
N2P1K2 0.86 (7) -1.28 (13) 0.96 (5) -1.56 (14) 1.71 (1) 0.19 (7)
N2P2K2 4.49 (1) 0.28 (6) 2.25 (1) -0.56 (10) -1.42 (13) 1.64 (1)
N2P3K2 1.13 (5) -0.77 (10) -3.29 (14) 0.12 (4) -1.67 (14) -0.63 (11)
N2P2K0 -0.47 (9) -0.04 (8) 0.58 (7) -0.71 (12) 0.03 (8) -0.14 (9)
N2P2K1 1.06 (6) 1.82 (2) -1.27 (11) -0.20 (8) 1.29 (2) 0.62 (4)
N2P2K3 1.35 (4) 0.06 (7) 1.03 (3) 2.34 (1) -0.62 (10) 0.90 (2)
N3P2K2 1.76 (2) -4.03 (14) -1.28 (12) 0.04 (6) 0.69 (5) -0.42 (10)
N1P1K2 1.62 (3) 2.45 (1) -0.71 (10) -1.33 (13) 0.06 (7) 0.71 (3)
N1P2K1 0.13 (8) 1.47 (3) -1.30 (13) 1.32 (3) 0.93 (3) 0.42 (5)
N2P1K1 -0.63 (11) -0.12 (9) 1.23 (2) 1.72 (2) 0.80 (4) 0.36 (6)
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The N2P2K2 treatment had the highest integrated scores among all treatments. The integrated scores of the top five treatments were as follows: N2P2K2> N2P2K3> N1P1K2> N2P2K1> N1P2K1. Further correlation analysis showed highly significant positive correlation between integrated scores and Sapindus mukorossi yield under different fertilization treatments ( Figure 2 ).

Figure 2.

Figure 2

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Fit of linear regression between integrated scores and yield of Sapindus mukorossi under different fertilization treatments.

3.5. Influence of soil and leaf physiological factors on the yield of Sapindus mukorossi

The direct and indirect effects of soil and leaf factors on Sapindus mukorossi yield were assessed through path coefficient analysis. As shown in Table 5 , among the soil indicators, soil available nitrogen had the highest direct positive effect on sapodilla yield (0.62), followed by SOC (0.23), and MBC (0.15). These results indicated that soil available nitrogen and SOC were the major factors in increasing crop yield. As for leaf physiological indexes, the direct positive effects on the yield of Sapindus mukorossi were in the following order: LAI (0.79) > K (0.37) > ST (0.21) > chlorophyll content (-0.008) > P (-0.03) > SS (-0.13) > N (-0.14). The indirect path coefficients revealed that soil and leaf factors contribute to some extent to the yield of Sapindus mukorossi by influencing other factors.

Table 5.

Direct and indirect path coefficient values of soil and leaf factors on the yield of Sapindus mukorossi.

pH SOC AN AP AK MBC MBN
pH -0.11 0.04 0.06 0.07 0.02 0.05 0.04
SOC -0.09 0.23 0.09 0.14 0.07 0.16 0.18
AN -0.39 0.25 0.62 0.34 0.28 0.12 0.22
AP 0.03 -0.04 -0.03 -0.06 -0.01 -0.04 -0.04
AK 0.01 -0.01 -0.02 -0.005 -0.044 -0.01 -0.01
MBC -0.07 0.11 0.03 0.10 0.02 0.15 0.07
MBN -0.04 0.08 0.04 0.07 0.02 0.05 0.11
LAI SPAD SS ST Nitrogen content Phosphorus content Potassium content
LAI 0.79 0.25 -0.13 0.35 0.18 0.17 0.06
SPAD -0.002 -0.008 0.001 -0.003 -0.001 -0.005 -0.002
SS 0.02 0.02 -0.13 -0.02 -0.05 0.02 -0.05
ST 0.09 0.08 0.03 0.21 0.06 0.06 -0.009
Nitrogen content -0.03 -0.02 -0.05 -0.04 -0.14 -0.04 -0.07
Phosphorus content -0.006 -0.01 0.004 -0.007 -0.008 -0.03 -0.01
Potassium content 0.03 0.08 0.14 -0.02 0.21 0.14 0.37
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Bold numerals are the direct effect values.

3.6. Factors influencing soil properties on leaf traits

To fully assess the relationship between soil properties and leaf traits, we evaluated the effect of soil properties on leaf attributes through RDA analysis ( Figure 3 ). The first and second sorting axes explained 35.3% of the total variation. Organic carbon and available phosphorus were closely related to leaf trait attributes. available phosphorus, pH and available nitrogen were more correlated with the first axis, while the second axis was mainly closely related to SPAD soil available potassium. The results showed that organic carbon and effective phosphorus were the two most important soil factors affecting changes in leaf physiological attributes ( Table 6 ).

Figure 3.

Figure 3

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Redundancy analysis (RDA) between soil properties and leaf physiological traits. Soil factors are indicated by solid arrows. Leaf properties are indicated by dashed lines. The first (horizontal) and second (vertical) axes explain 20.07% and 15.23% of the variation. ** means that correlation is significant at the 0.01 level.

Table 6.

Revealing the relationship between leaf physiological indicators and soil properties.

indicators pseudo-F P
AP 9 0.004
SOC 5.7 0.006
AK 2 0.106
AN 1.8 0.146
MBN 1.8 0.194
pH 0.5 0.61
MBC 0.2 0.85
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4. Discussion

4.1. Effect of fertilization on yield

N, P, and K fertilizers are key elements for high crop yields, and proper application can effectively improve crop yield and quality (Nemadodzi et al., 2017; Xing et al., 2023). It has been shown that there is a close relationship between fertilizers, soil, and plants, and the availability of fertilizers can directly affect soil fertility, which in turn affects plant yield (Chen et al., 2019; Zhang et al., 2023). In this study, it was found that N2P2K2 treatment was the best fertilizer application rate for the combined indexes, and over-fertilization reduced the yield ( Figure 1 , Table 4 ). The possible reason for the increase in yield with the application of N, P and K when the fertilization rate did not reach the threshold was the increase in soil nutrients with the increase in fertilization rate. This was shown by the increase in both soil effective phosphorus and organic carbon content. The path coefficient analysis showed that soil effective phosphorus and organic carbon content played the most important role in increasing the yield of Sapindus mukorossi( Table 5 ). This was verified in previous studies (Li et al., 2019; Bindraban et al., 2020). In addition, another reason contributing to the increase in yield may be the increased resistance of the tree itself caused by fertilizer application, the reduction of diseases in the plant and the reduction of insect pests. However, when the rate of fertilizer application exceeds the threshold, fertilizer application can have a negative effect on the plant. Studies in citrus (Citrus reticulata) (Li et al., 2019), blueberry (Zhang et al., 2023) and heather (Phoebe zhennan) (Yang et al., 2020) also support our finding. The reason for this negative effect may be (1) when the fertilizer application exceeds the threshold, the soil nutrient supply capacity is reduced instead. So, there will be a lower yield because of the weak ability of soil nutrient supply. Another reason is that the higher content of leaves when they are high in nitrogen may imply leaf senescence and delayed growth of other nutrient organs, which leads to consumption of more carbon skeleton and energy by the fruit or storage organs and low carbohydrate accumulation (Li et al., 2019). (2) Excessive fertilizers can be harmful to the environment (Xue et al., 2020). Relevant studies have shown that fertilizer is one of the main sources of soil, water and air pollution. Excessive fertilizers can lead to serious soil sloughing, resulting in the imbalance of soil nutrient structure, which in turn restricts the growth and development of the plant root system, reduces the ability to absorb nutrients and water, and ultimately leads to lower yields. (3) In addition, over-fertilization will also increase plant diseases. For example, studies on diseases of Panax notoginseng (Xia et al., 2016), Zea mays (Vilela et al., 2022) and citrus unshiu (Li et al., 2019) showed that over-fertilization increased the incidence of root rot in Panax notoginseng and brown spot in Coffea species as well as induced severe defoliation, which resulted in adverse short- and long-term consequences. The present study also found that many new branches sprouted on the whole tree of Sapindus mukorossi in high fertilization and the incidence of leaf sooty blotch increased. Therefore, rational application of N, P and K fertilizers will be effective to improve soil and leaf physiological attributes in Sapindus mukorossi stands, and play an important role in increasing Sapindus mukorossi yield.

4.2. Effect of fertilizer application on soil properties

This study showed that the application of nitrogen, phosphorus and potassium had a positive effect on the increase of soil available nutrients. The application of nitrogen, phosphorus and potassium fertilizers increased soil organic carbon and available nitrogen content, but with the increase of nitrogen fertilizers soil organic carbon and available nitrogen content increased firstly and then decreased ( Table 2 ). According to the theory of “stoichiometric decomposition” proposed by Hessen et al. (2004), the stoichiometric imbalance of N addition has been shown to accelerate soil organic carbon decomposition in order to maintain the soil C/N, and the decomposition rate and microbial activity are highest when the C and N inputs correspond to the microbial stoichiometric carbon to nitrogen ratio (Hessen et al., 2004). Simultaneous increases in N fertilization accelerated soil organic matter decomposition by increasing the rate of organic carbon decomposition and microbial activity. In energy forests, N additions accompanied by pruning residues (carbon sources) met microbial growth requirements and stimulated mineralization of native soil organic matter and release of reactive N during nitrification, denitrification, and leaching (Chen et al., 2020; Zhao et al., 2020). When excess N fertilizer affects the number and activity of soil microorganisms and the biodegradation of organic carbon sources, it may lead to a reduction in organic carbon content (Ma et al., 2021). Application of excess N fertilizer can lead to soil acidification and reduce soil organic carbon content, with N fertilization (urea application) contributing more to soil acidification than other fertilizers. Urea can be rapidly converted to NH4 + by soil microorganisms, and during the oxidation of NH4 +, H+ is released into the soil. N application leads to the loss of cations (Ca2+, K+, Mg2+) in the soil, which are taken up by plants thereby accelerating soil acidification (Tang et al., 2022, 2023; Wang et al., 2023). Thus, the results illustrate the importance of rational application of N fertilizer in Sapindus mukorossi energy woodlands.

The present study also found that the soil available phosphorus content increased gradually with the addition of phosphorus application, indicating that fertilizer application was able to increase the effective phosphorus content in the soil ( Table 2 ). This may be due to the fact that fertilizers promoted P-rich microbial activity in the soil, and the addition of phosphorus fertilizers may have resulted in higher levels of residual fast-acting phosphorus nutrients in the soil (Bindraban et al., 2020). The overall trend of increase in total phosphorus, available phosphorus content and total potassium, available potassium content with increase in P and K addition was attributed to the fact that P and K fertilizers themselves contain a large amount of P and K, and the increase in fertilizer application led to more P and K in the soil, which reduces the ability of soil to sequester more P and K. In this study, we found that P addition could increase the available nitrogen content within a certain range, indicating that P addition promoted the mineralization of organic nitrogen and improved the nitrogen uptake and utilization capacity of Sapindus mukorossi. Excessive application of potash fertilizer in this study led to a decrease in effective nitrogen and effective phosphorus content, which may be due to the antagonistic effect of phosphate and sulfate ions, related to the high application rate of potassium element (Li et al., 2019). In summary, the appropriate ratio of N, P, and K will increase soil organic carbon, alkaline dissolved nitrogen, and effective phosphorus content, and have obvious effects on soil fast-acting nutrient content, and fertilizer application is an effective way to improve soil nutrients.

4.3. Effect of fertilizer application on leaf trait characteristics

Dry matter partitioning is a major determinant of yield formation and involves the yield, total productivity of the plant (Kulmann et al., 2023). The source-sink relationship hypothesis is widely accepted in explaining dry matter production and allocation. The hypothesis proposes three main influencing factors: the competitiveness of sinks, the transport capacity of the phloem, and the supply capacity of the source. Competition between sinks implies that more photo assimilates are preferentially translocated to the fruit during fruit growth and development; the transport capacity of the phloem is closely related to the transport distance; and the supply capacity of the source is closely related to the external environment (fertilization, pruning, canopy). The path coefficient analysis showed that leaf area index, leaf potassium content, and starch content played the most important roles in increasing the yield of Sapindus mukorossi ( Table 5 ). Sapindus mukorossi, as a sun-loving tree species, is significantly affected by canopy microclimate (Zhang et al., 2019). The canopy plays a role in plant growth and development, including respiration and photosynthesis (de Mattos et al., 2023). The distribution of light intensity within the canopy plays a key role in determining photosynthesis throughout its plant canopy, and an overcrowded canopy with poor light intensity has been identified as a major factor in yield decline (Burroughs et al., 2023).

Different fertilization treatments had significant effects on leaf trait characteristics of Sapindus mukorossi ( Table 3 ). Reasonable application of N, P and K fertilizers can effectively improve the dynamics of leaf nutrient content of plants and significantly increase fruit yield. We found that the addition of N fertilizer significantly improved the leaf physiological traits of Sapindus mukorossi, which may be due to the involvement of fertilizer in more physiological and metabolic processes of plant growth (Deng et al., 2019; Lasheen et al., 2021). The results of the study showed that different NPK fertilizer application rates had significant effects on leaf starch and soluble sugars, the total amount of NSCs in Sapindus mukorossi leaves increased firstly and then decreased with the application of NPK, the content of soluble sugars increased gradually with the increase of N and P fertilizers, and the content of starch showed an increase firstly and then decreased. Firstly, this may be that more starch was converted to soluble sugar after over-fertilization, which in turn supplemented the carbon demand for plant growth, and physiological processes (Sun et al., 2020). Secondly, at high nitrogen and phosphorus levels, the soluble sugar of the leaves increased significantly, while the starch content decreased significantly, and it is also possible that the soluble sugar of the leaves was more sensitive to high nitrogen and phosphorus treatments, while inhibiting the starch content (Peng et al., 2021). In this study, we also found that K fertilization can promote the absorption of nitrogen in the leaves of Sapindus mukorossi N fertilization can increase the potassium content of the leaves. It indicates that leaf physiological processes have to maintain the stoichiometry of nitrogen, phosphorus and potassium, which in turn suggests that the combined application of multiple fertilizers has a more pronounced effect on the physiological metabolism of the leaves than the application of a single type of fertilizer (Guo et al., 2016). The mixed application of nitrogen and potassium fertilizers can improve plant absorption of nitrogen and potassium, nitrogen as an external signal transmitted to the plant root system, the root system to respond to the response, adjusting its own morphological structure to improve the absorption of nitrogen and potassium, and then increase the nitrogen and potassium content in the leaves. At the same time, fertilization can affect leaf chlorophyll synthesis (Xiong et al., 2015). There was no significant difference in chlorophyll content and leaf area index among different fertilization treatments, but the highest chlorophyll content was N2P2K2 treatment. RDA analysis, organic carbon, and effective phosphorus were the two most important soil factors influencing changes in leaf traits ( Figure 3 ).

5. Conclusions

We demonstrated that fertilization ratio of N, P and K have a great influence on soil properties, leaf physiological traits as well as yield of Sapindus mukorossi. Excessive fertilization can negatively affect soil properties and leaf physiological traits. When simultaneously considering the yield, leaf physiological traits and soil fertility, the recommended optimum fertilization ratio for this region are 0.96 kg of N, 0.8 kg of P, and 0.64 kg of K per plant. Soil available nitrogen, soil organic carbon, and leaf area index, were the main factors to improve the crop yield. Soil organic carbon and soil available phosphorus were the most important factors affecting leaf physiological traits. Our results showed that the application of appropriate amounts of N, P, and K fertilizers is an effective way to improve soil fertility and crop yield, and fertilizer application strategies should be developed to meet soil productivity and reduce environmental hazards.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

JTL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. DW: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – review & editing. XY: Formal analysis, Methodology, Supervision, Writing – review & editing. LJ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. NC: Data curation, Formal analysis, Supervision, Writing – review & editing. JJL: Data curation, Funding acquisition, Methodology, Resources, Supervision, Writing – review & editing. PZ: Conceptualization, Formal analysis, Funding acquisition, Methodology, Resources, Supervision, Software, Validation, Writing – review & editing. LZ: Conceptualization, Funding acquisition, Methodology, Resources, Project administration, Supervision, Writing – review & editing. QC: Funding acquisition, Methodology, Resources, Supervision, Formal analysis, Investigation, Validation, Writing – review & editing.

Acknowledgments

We sincerely thank Shuijing Luo for his tending of the plants. We are also grateful to Shixiong Wu and Yiyong Chen for his guidance in the experiment. We gratefully acknowledge the assistance of Xiaoli Yan and Yuanyuan Xu in this study.

Funding Statement

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (No. 32071793) and the Special Foundation for National Science and Technology Basic Research Program of China (No. 2019FY100803) and Cultivation and Water and Fertilizer Management Techniques for Good Seeds of Economic Forests (KH230122A).

Conflict of interest

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

Publisher’s note

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

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