Skip to main content

Effects of N and P additions on twig traits of wild apple (Malus sieversii) saplings

Abstract

Background

Wild apple (Malus sieversii) is under second-class national protection in China and one of the lineal ancestors of cultivated apples worldwide. In recent decades, the natural habitation area of wild apple trees has been seriously declining, resulting in a lack of saplings and difficulty in population regeneration. Artificial near-natural breeding is crucial for protecting and restoring wild apple populations, and adding nitrogen (N) and phosphorous (P) is one of the important measures to improve the growth performance of saplings. In this study, field experiments using N (CK, N1, N2, and N3: 0, 10, 20, and 40 g m− 2 yr− 1, respectively), P (CK, P1, P2, and P3: 0, 2, 4, and 8 g m− 2 yr− 1, respectively), N20Px (CK, N2P1, N2P2, and N2P3: N20P2, N20P4 and N20P8 g m− 2 yr− 1, respectively), and NxP4 (CK, N1P2, N2P2, and N3P2: N10P4, N20P4, and N40P4 g m− 2 yr− 1, respectively) treatments (totaling 12 levels, including one CK) were conducted in four consecutive years. The twig traits (including four current-year stem, 10 leaf, and three ratio traits) and comprehensive growth performance of wild apple saplings were analyzed under different nutrient treatments.

Results

N addition had a significantly positive effect on stem length, basal diameter, leaf area, and leaf dry mass, whereas P addition had a significantly positive effect on stem length and basal diameter only. The combination of N and P (NxP4 and N20Px) treatments evidently promoted stem growth at moderate concentrations; however, the N20Px treatment showed a markedly negative effect at low concentrations and a positive effect at moderate and high concentrations. The ratio traits (leaf intensity, leaf area ratio, and leaf to stem mass ratio) decreased with the increase in nutrient concentration under each treatment. In the plant trait network, basal diameter, stem mass, and twig mass were tightly connected to other traits after nutrient treatments, indicating that stem traits play an important role in twig growth. The membership function revealed that the greatest comprehensive growth performance of saplings was achieved after N addition alone, followed by that under the NxP4 treatment (except for N40P4).

Conclusions

Consequently, artificial nutrient treatments for four years significantly but differentially altered the growth status of wild apple saplings, and the use of appropriate N fertilizer promoted sapling growth. These results can provide scientific basis for the conservation and management of wild apple populations.

Peer Review reports

Introduction

Wild apple (Malus sieversii) is a treasured and endangered species that is under national second-class protection in China. The Tianshan wild fruit forests are mainly distributed in the Tianshan region of Central Asia, and Xinjiang region of China occupies approximately 40% of the total area [1]. Wild apple and Prunus armeniaca are the established species in the wild fruit forests, among which wild apple trees form a pure forest [1, 2]. Studies have found that wild apple trees are one of the ancestors of cultivated apple trees and contributed to their evolution [3, 4]. However, in recent decades, the distribution area of wild apple populations in Xinjiang has been drastically shrinking due to various biotic (such as infestation by Agrilus mali and Valsa ceratosperma, grazing, and logging) and abiotic factors (such as global climate change) [5,6,7]. In addition, problems such as major habitat fragmentation and reduction of germplasm resources also exist. The natural population is seriously declining and is characterized by a lack of young individuals and a relatively large number of middle-aged and old individuals [5]. Population decline shifts community structure, affects community species composition, inhibits plant productivity, and reduces the rate of litter decomposition and soil nutrient content [6]. Therefore, the regeneration and rejuvenation of wild apple populations need to be urgently addressed.

The growth of trees, especially young trees, is affected by various environmental factors, including interspecific competition, slope direction, soil moisture content, and nutrient limitation [8,9,10]. Among these, nutrient availability is one of the most critical factors that influences tree survival, productivity, and yield. Based on the differences in soil nutrient status, the appropriate nutrient ratios and amounts of additions required are selected to alleviate nutrient limitation [8, 10, 11]. Previous studies on the effects of nutrient treatments on trees have been focused on simulated nitrogen (N) deposition, phosphorous (P) addition, and mixed N and P addition [10,11,12,13]. These studies revealed that the effects of N and P addition on plant growth are inconsistent and may show inhibition, promotion, or no significant effect [10, 13, 14]. Plant species with limited nutrients may be in a disadvantaged position in the competition with other species in the ecosystem, as their growth rate is generally lower than species without limited nutrients [15]. It has been reported that, many more endangered plant species persist under P-limited than under N-limited conditions, that is, enhanced P is more likely to be the cause of species loss than N enrichment. Therefore, nutrient limitation may largely cause species to become endangered [16]. However, different nutrient elements play different roles in this ecological process.

Twigs are among the most active components of the branching system and reflect the plant’s response to the environment better than the whole plant [17, 18]. The twigs consist of two components—stems and leaves. Stems mainly provide mechanical support and ensure transport, and leaves mainly perform photosynthesis. Stems and leaves show a general correlation and variability between them as they adapt to the environment through combinations and trade-offs of their functional traits, thereby determining the ecological strategy of the plants [18, 19]. Corner was the first to propose that size and number of twig leaves are dominant dimensions reflecting plant life history strategies [20, 21]. Nutrient addition effects on plant growth vary with species and plant traits [19, 20]. In general, N additions usually showed inhibition at high concentration and promotion at low concentrations of plant biomass. Compared with N and N + P treatments, P addition increased tree growth in most cases, especially in low latitude areas [10]. The “growth rate hypothesis” proposes that when an organism has a higher growth rate, it also has a higher P content and a lower N:P [22]. Through the study on the nutrient addition of apple (Malus hupehensis) seedlings, it was found that the effect of N and P mixed addition and phosphorus addition was significantly higher than that of N addition alone [23]. Combined application of N and P significantly improved the growth of apple rootstock seedlings [24]. Taken together, most studies focused on the individual effects of N and P addition on plant growth, and studies on the effects of combined N and P treatment on twig traits are still insufficient.

Currently, the twig traits of wild apple saplings and their interactions in response to exogenous N and P applications are unclear, which is detrimental to the conservation and sustainable use of this endangered plant. A latest report has revealed that N is more susceptible to the stressing for adult wild apple trees in natural population, especially for the declining trees [18]. Because young trees are more sensitive to external environmental changes than adult woody plants [14], we hypothesized that adding N rather than P had stronger impacts on twig traits of wild apple saplings, and the combined N and P addition exhibited more positive effect on plant performance; however, the response levels of different traits were different. In this study, field experiments on nutrient addition to wild apple saplings, including N, P, N20Px (i.e., fixed N concentration with variable P concentration) and NxP4 (i.e., variable N concentration with fixed P concentration) treatments (totaling 12 treatment levels) were conducted for four consecutive years (2017–2020). The objectives of this study were (1) to clarify the response strengths of stem and leaf traits of wild apple saplings under different N and P treatments and (2) to explore the differences in twig trait associations and the comprehensive growth performance of wild apple saplings under N and P treatments. The results will provide a basis for predicting the growth of wild apple saplings under exogenous nutrient application, thereby helping in the regeneration and rejuvenation of wild apple populations and scientific management.

Materials and methods

Study area

The study site is located in the Gailiangchang, Xinyuan County, Ili Autonomous Prefecture (83°36’ E, 43°22’ N; alt. 1027 m), and receives an annual mean precipitation of 400–500 mm [9]. The region belongs to the temperate continental semi-humid desert climate zone. The annual mean temperature in the study area is 6–9.3 °C, the snow period is for 150 d, the frost-free period is for 140–180 d, and the annual sunshine duration is 2500 h [5, 9]. Besides, the annual atmospheric N deposition rate is approximately 0.8 g N m− 2 a− 1 [25, 26]. In winter, the cold air in the Ili Valley sinks to the valley floor resulting in the formation of a relative temperature layer on the mountain slopes, which is called the “inversion layer”. This protects plants from the severe cold and enables them to overwinter smoothly [27]. The soil mostly developed on loess or parent materials and was characterized by thick humus, moderate and loose structure, high porosity, but in some areas, the soil nutrient content is relatively low (e.g., Gongliu County) [18, 28], Ili region is a “refuge” for wild apple trees and other flora in Xinjiang because of the unique climatic and environmental conditions.

Experimental design

In October 2016, the experimental site was pre-treated by performing land leveling and delineation of sampling plots. Soil sample (0–10 cm, five replicates) was collected to determine the physical and chemical properties of the soil (Table 1). In early April 2017, the experimental sample plots were constructed before the germination of wild apple seedlings, and they were set up using a completely randomized design (Fig. S1). Soil pH are basically consistent with previous studies, the pH of the soil where wild apple saplings grow is generally neutral and slightly alkaline [18].

Table 1 Soil physical − chemical properties of the experimental plots for wild apple saplings

Based on nutrient additions in the surrounding apple orchards, literature research, and the actual status of soil nutrient here, the N treatments were as follows: 10, 20, and 40 g m− 2 yr− 1; the P treatments were as follows: 2, 4, and 8 g m− 2 yr− 1 [29, 30]. Combined N and P treatments were of two types as follows: first, a medium N concentration with three different P concentration ratios: N20P2, N20P4, and N20P8; second, three different N concentrations with a medium P concentration ratio: N10P4, N20P4, and N40P4, where both treatments have N20P4 in common. The four nutrient treatments shared a control group (CK), and the CK consisted of the same amount of water. These fertilization treatments were applied to a total of 12 groups, with five replicates for each treatment level. The total number of plots was 60, and size of each plot was 1.5 × 1.5 m (Fig. S2). Each plot was labeled with a card. The periphery of the sample square was raised to prevent interference among sample squares, with a minimum distance of 1 m between plots.

The transplanted wild apple seedlings were locally cultivated one-year-old trees, and the seeds were collected from the same population to ensure consistent genetic background and sapling growth. Wild apple seedlings were planted at a distance of 0.3 m from the four diagonal corners of the sample square to ensure that the four trees had relatively sufficient growing space.

N and P were supplied as CON2H4 and Ca(H2PO4)2·CaHPO4, respectively, which are most commonly used in agroforestry. To apply the fertilizer, pits of approximately 20 cm in depth and 15 cm in diameter were dug at distance of 0.3 m from the periphery of the plots (Fig. S2). The fertilizer was then evenly applied in the four pits at the diagonals of each plot and 200 mL of water was added, followed by filling and covering with soil to promote nutrient uptake by the roots. Saplings were quickly pruned and watered after transplanting to ensure their rapid branching and survival. Fertilizer was applied twice a year—at the end of April (leaf budding period) and the beginning of October (leaf-falling period)—and fertilization treatments were conducted for four consecutive years (2017–2020) [26, 31]. Normal field management was conducted at the experimental site, with no artificial watering throughout the year to approximate natural conditions, except during fertilization.

Twig sampling and trait measurement

The current-year twig samples were collected in August 2020 during the peak growing season for stem and leaf. In this study, current-year twigs without branching, flowers and fruits at the terminals, consisting of the apical internode (referred to as stem hereafter) and the leaf it bore, and without the loss of any leaf, were defined as twigs [17, 32, 33].When sampling, wild apple saplings were five years old, with a mean tree height of 2.14 m and a basal diameter of 2.24 cm. Except for a very few saplings that bore a very few fruits, most saplings had still not entered the reproductive stage. When collecting twigs, the main branches were avoided, and medium-sized current-year lateral branches in the middle of the canopy were selected [34, 35]. These branches were cut off with branch shears from their base and transported to the laboratory in labeled envelopes. For each tree, current-year twigs (n = 1–3) with similar size were collected from the medium sunny position of the tree canopy.

The stems and leaves were separated and the length (L; in cm) of the stem was measured with a straightedge, the basal diameter (BD; in cm) of the stem was measured with a vernier caliper, the leaves were scanned with a scanner (CanoScan LIDE120, Canon, Japan), and the number of leaves (leaf number, LN) on the stem was counted and recorded. The samples were oven-dried at 70 °C to constant weight, and the total blade mass (TBM; in g), total petiole mass (TPM; in g), stem mass (SM; in g), and twig mass (TM = TBM + TPM + SM; in g) were measured using an analytical balance (accurate to 0.0001 g). The total leaf area (TLA; in cm2) was measured using a software program (LA-S, Wanshen, Hangzhou, China). The above-mentioned indicators were used to calculate twig and leaf-related indicators, including total leaf mass (TLM = TBM + TPM; in g), single petiole mass (SPM; in g), single blade mass (SBM; in g), single leaf mass (SLM = SPM + SBM; in g), single leaf area (LA; in cm2), specific leaf area (SLA; in cm2 g− 1), leafing intensity (LI = leaf number/SM; in n g− 1), leaf area ratio (LAR = total LA/TM; in cm2 g− 1), and leaf area-to-stem mass ratio (LAMR = total LA/SM; in cm2 g− 1).

Statistical analyses

The normality of all data was checked by conducting the K-S test; all data followed a normal distribution. The effects of adding N and P and their interaction effects on twig traits of wild apple trees were examined by performing one-way ANOVA and two-way ANOVA, and multiple comparisons were performed using Duncan’s method (α = 0.05). The effects of the four nutrient treatments on the twig traits were calculated using Eqs. 1–6. (1) The addition of only N (without adding P; N10, N20, and N40 vs. CK); (2) the addition of only P (without adding N; P2, P4, and P8 vs. CK); (3) N20Px (N20P2, N20P4, and N20P8 vs. CK); (4) NxP4 (N10P4, N20P4, and N40P4 vs. CK); (5) the effect of P with the addition of N (N20P2, N20P4, and N20P8 vs. N20); (6) the effect of N with the addition of P (N10P4, N20P4, and N40P4 vs. P4). The values represented means with 95% confidence intervals (CIs). The effect is considered to be significant (*) when the 95% CI does not overlap with zero.

$$dN=\frac{YN - YCK}{YCK }\times 100\text{\%}$$
(1)
$$dP=\frac{YP - YCK}{YCK }\times 100\text{\%}$$
(2)
$$dN20Px=\frac{YN20Px - YCK}{YCK }\times 100\text{\%}$$
(3)
$$dNxP4=\frac{YNxP4 - YCK}{YCK }\times 100\text{\%}$$
(4)
$$\begin{gathered} dP\,effect\,with\,N\,addition\, = \hfill \\\,\frac{{YN20Px - YN20}}{{YN20}} \times 100\% \hfill \\ \end{gathered} $$
(5)
$$\begin{gathered} dN\,effect\,with\,P\,addition\, = \hfill \\\,\frac{{YNxP4 - YP4}}{{YP4}} \times 100\% \hfill \\ \end{gathered} $$
(6)

Here, N indicates N10, N20, and N40; P indicates P2, P4, and P8; N20Px indicates N20P2, N20P4, and N20P8; NxP4 indicates N10P4, N20P4, and N40P4; CK indicates the control.

Plant trait networks (PTNs) were designed using the R software (version 4.2.1) to determine the relationship among several twig traits and their significance. PTNs can be used to visualize complex relationships among traits, clarify the “dimensions” of multiple trait composition, quantify mutual dependencies among multiple traits, identify key traits, and compare complex relationships among traits in different environments [36]. First, the correlation coefficients (r) were determined by performing Spearman’s correlational analysis using the ‘psych’ R package, and the significant correlations between twig traits (P < 0.05) were retained to avoid spurious correlations between traits [36,37,38]. Second, the differences in network structures were compared using topological parameters of PTNs, including degrees, mediators, clustering coefficients, edge densities, and modularity [36, 38]. Finally, the effect of adding N and P on the comprehensive resistance of twig traits was analyzed using the membership function in fuzzy mathematics (7 and 8) [39]. The formula for the membership function is shown in Eq. (7):

$$\text{U}\left(Xij\right)=\frac{Xij - Xjmin}{Xjmax - Xjmin }$$
(7)

If the parameters were negatively correlated, the conversion was performed using the inverse membership function (Eq. 8), and the formula was calculated as:

$$\text{U}\left(Xij\right)=1 - \frac{Xij - Xjmin}{Xjmax - Xjmin }$$
(8)

Here, U(Xij) denotes the membership function value of trait j in treatment i; Xij denotes the measured value of trait j in treatment i; Xjmax and Xjmin denote the maximum and minimum measured values of the indicators in each trait, respectively.

The PTNs and their topological parameters were visualized using the ‘igraph’ R package and Cytoscape 3.8.0. The data were statistically analyzed using SPSS 26.0 (SPSS Inc., Chicago, Illinois, USA), and graphs were made using OriginPro 2021.

Results

Variation in current-year stem traits

The addition of only N significantly (P < 0.05) increased L (length) at all concentrations, increased BD (basal diameter) considerably at low and high concentrations, and TM (twig mass) at high concentrations, but significantly decreased LAR (leaf area ratio) and LAMR (leaf area-to-stem mass ratio) at medium concentrations and LI (leafing intensity) at high concentrations (Fig. 1 and S3). The addition of only P significantly increased L and BD at all concentrations but decreased LI considerably at all concentrations and LAR at medium concentrations. Treatment with N20Px significantly increased L at all concentrations and increased BD, SM (stem mass), and TM at medium and high concentrations but decreased LI and LAR substantially at all concentrations and LAMR at low and medium concentrations. Treatment with only NxP4 significantly promoted BD at all concentrations, while adding P showed a highly negative effect of N (i.e., N + P addition vs. P addition) only for medium concentrations on LI. The addition of N showed a highly positive effect of P (i.e., N + P addition vs. N addition) only for high concentrations of L, while a substantial negative N effect was observed for medium concentrations of LI and low concentrations of BD, TM, LAR, and LAMR. Overall, adding only N or P had significant positive effects on L and BD and showed different degrees of negative effects on the indicators in the stem-to-leaf trait ratios. Treatment with N20Px had a more prominent positive and negative effect on stem traits and the ratio of stem-to-leaf traits at all concentrations, and treatment with NxP4 showed a significant positive effect on stem traits at medium concentrations.

Fig. 1
figure 1

The effects of Malus sieversii stem traits for treatment with N, P, and N + P. The effects of treatment with only N (without P addition), only P (without N addition), N20Px, NxP4, P with the addition of N, and N with the addition of P on stem length (L), basal diameter (BD), stem mass (SM), twig mass (TM), leaf intensity (LI), leaf area ratio (LAR), and leaf area-to-stem mass ratio (LAMR) of Malus sieversii. The values represent the mean with 95% confidence intervals (CIs). The effect was considered to be significant (*) when the 95% CI did not overlap with zero. Low: N10, P2, N20P2, and N10P4; Medium: N20, P4, and N20P4; High: N40, P8, N20P8, and N40P4. N20P4 is common to both N20Px and NxP4, therefore, it is only shown in the former. (a): N effect, (b): P effect, (c): N20Px effect, (d): NxP4 effect, (e): P effect with N addition, (f): N effect with P addition. the same below

Variation in leaf traits

Adding only N significantly (P < 0.05) increased TPM (total petiole mass) at low concentrations, TBM (total blade mass), TPM, TLM (total leaf mass), SBM (single blade mass), SPM (single petiole mass), and SLM (single leaf mass) at high concentrations and decreased SLA (specific leaf area) considerably at high concentrations (Fig. 2 and S4). Adding only P significantly increased LA (leaf area), SBM, SPM, and SLM at high concentrations but significantly decreased LN (leaf number) at high concentrations and SLA at medium concentrations. Adding N20Px considerably increased total leaf dry mass (TBM, TPM, and TLM), SPM, TLA (total leaf area), SBM, and LA at medium concentrations and significantly decreased SBM, SLM, and LA at low concentrations. Treatment with NxP4 significantly increased SPM at low concentrations and significantly decreased SLA at high concentrations. Applying N had a significant positive effect of P (i.e., N + P addition vs. N addition) on SPM, TLA, and LA at medium concentrations and SLA at high concentrations. Applying P had significant positive effects of N (i.e., N + P addition vs. P addition) on SPM, TLA, and LA at medium concentrations and LN at high concentrations, while it had significant negative effects of N on total leaf mass (TBM, TPM, and TLM), single leaf mass (SBM, SPM, and SLM) and leaf area (LA and TLA) at low concentrations. The changes in nutrients differed across different N and P treatment levels, and adding high levels of N showed a positive effect on leaf dry mass (total leaf mass and single leaf mass). The addition of N20Px promoted most leaf traits at medium-to-high concentrations. Except for LN and SLA, the effect of P with the addition of N showed inhibition at low concentrations.

Fig. 2
figure 2

The effects of Malus sieversii leaf traits for treatment with N, P, and N + P. The effects of only N (without P addition), only P (without N addition), N20Px, NxP4, P with the addition of N, and N with the addition of P on leaf area (LA), leaf number (LN), total blade mass (TBM), total petiole mass (TPM), total leaf area (TLA), total leaf mass (TLM), single petiole mass (SPM), single blade mass (SBM), single leaf mass (SLM), and specific leaf area (SLA) of Malus sieversii. The values represent the mean with 95% confidence intervals (CIs). The effect was considered to be significant (*) when the 95% CI did not overlap with zero. Low: N10, P2, N20P2, and N10P4; Medium: N20, P4, and N20P4; High: N40, P8, N20P8, and N40P4. N20P4 is common to both N20Px and NxP4, therefore, it is only shown in the former

Twig trait networks and the membership function values under the effects of N and P

The topology parameters of twig trait networks differed significantly (P < 0.05) under the effects of N and P treatments (Fig. 3 and Table S1). For topological parameters, the PTNs for treatment with P and NxP4 showed a lower edge number, connectedness, and average degree than the PTNs for treatment with N and N20Px, while the average path, centralization degree, and modularity of the PTNs for treatment with P and NxP4 were higher than those of the PTNs for treatment with N and N20Px.

The network node parameters were used to identify key traits, which differed with the addition of nutrients (Fig. 3 and Table S2). The results showed that BD and SM had the highest degree (16) when only N was added, and they regulated the wild apple phenotype; L and TM (degree = 15) also influenced the PTN. Additionally, BD and SM had the highest betweenness (3.541), which indicated that they strongly affected the multifunctional coupling relationships. Under P treatment, SM and TM showed the highest degree (16) and betweenness (4.81), followed by L and BD, which showed the second highest degree (15). Also, BD had the highest degree (16) and betweenness (3.63) under N20Px treatment, followed by SM and TM, which had the second highest degree (15). SM and TM showed the highest degree (16) and betweenness (5.106) under NxP4 treatment, followed by BD, TPM, and TLM, which had the second highest degree (15). The PTN analysis of all data showed that BD, SM, TM, and LA were the key traits with the highest degree (16) and betweenness (1.37). Thus, prominent differences were observed in the key traits of the PTNs under nutrient treatments, but the key traits could coordinate multiple functional coupling while regulating the phenotype.

Fig. 3
figure 3

Plant trait networks (PTNs) of Malus sieversii for treatment with N, P, and N + P. Nodes indicate different twig traits, and node size indicates the degree. Red and blue lines indicate positive and negative correlations, respectively. Circles with black borders represent the key trait. The width of the line indicates the strength of the association. L: Length; BD: basal diameter; LA: leaf area; LN: leaf number; TM: twig mass; TBM: total blade mass; TPM: total petiole mass; SM: stem mass; TLA: total leaf area; TLM: total leaf mass; SPM: single petiole mass; SBM: single blade mass; SLM: single leaf mass; SLA: specific leaf area; LI: leaf intensity; LAR: leaf area ratio; LAMR: leaf area-to-stem mass ratio. The topological properties of the network and the characteristics of the node (trait) are shown in Tables S1 and S2. N20Px: N20P2, N20P4, and N20p8; NxP4: N10P4, N20P4, and N40P4

The results of the membership function showed that the membership function values of all twig traits for different N and P treatments followed the order N > NxP4 > N20Px > P (Fig. 4). This indicated that the application of N alone or N with an appropriate amount of P (i.e., NxP4; except for N40P4) improved the comprehensive growth performance of wild apple saplings.

Fig. 4
figure 4

The membership function values of twig traits of wild apple saplings treated with N, P, N20Px, and NxP4. Low: N10, P2, N20P2, and N10P4; Medium: N20, P4, and N20P4; High: N40, P8, N20P8, and N40P4

Discussion

Effect of adding N and P on stem traits of wild apple saplings

Our results indicated that adding medium concentrations of N significantly (P < 0.05) increased twig L (Table 1; Fig. S3). Twig L and BD were strongly and positively affected by the addition of N and P (all concentrations), but TM was not significantly affected (Fig. 1). These findings were similar to those of a study on the effect of the addition of N and combined N and P on the two kinds of Larix sapling [40]. Other studies have shown that the growth of wild apple trees is N-limited and that N application can alleviate nutrient limitation, possibly leading to a shift in resource utilization by wild apple trees [9, 18, 41, 42]. The amount of P in plants also affects their growth rate. Plants need large amounts of N and P to meet their growth requirements, especially in actively growing saplings [43]. The enlarged stems of twigs contain larger vessels, which facilitate the transport of nutrients and water, while longer stems help plants obtain resources such as sunlight [44, 45].

The effect of the combined addition of N and P on plant growth depends on the dynamic balance between soil nutrient supply and plant nutrient requirements. However, the combined effect is usually better than that of the addition of only N or P [46,47,48]. The addition of N increases the activity of P by decreasing the pH, which in turn increases the effectiveness of soil P and promotes the uptake of limiting nutrients by plants [41]. However, the differences in the response of plants to the combined addition of N and P are attributed to factors such as nutrient limitation and plant species [38, 47, 49]. In the present study, the combined treatment of N and P (N20Px and NxP4) promoted twig traits (Fig. S3). For the effect of the interaction between N and P (Fig. 1), the addition of N20Px showed significant positive effects on L, BD, and dry weight at medium and high concentrations; also, the NxP4 treatment showed significant positive effects on BD at all concentrations. These findings were similar to those of a study by Cheng et al. (2022) who studied the response of Machilus pauhoi to the addition of N and P [50]. Adding N significantly increased stem diameter under the combined treatment of N and P (i.e., the effect of P with the addition of N), and the effect was higher than the effect of adding P (i.e., the effect of N with the addition of P) on stems [44]. Regarding stem traits, the size of the stem increased mainly because of an increase in the radial thickness of vascular bundles and the cortex [44]. The increase in BD indicated that the addition of nutrients improved the efficiency of the transport of water and mineral in plants and maintained the balance between twig growth and nutrient transport [44]. The results of the combined treatment of N and P (Table 1) showed that the low concentration of N20Px and the effect of P with the addition of N significantly inhibited the stem traits, while high concentrations (low N:P) significantly and positively affected the stem traits [46]. These findings indicated that high N:P inhibited stem growth, while low N:P promoted stem growth. This was consistent with the “growth rate hypothesis”, i.e., low N:P enhances plant growth rates [43].

Effect of adding N and P on leaf traits of wild apple saplings

In this study, the addition of N and P had no significant effect on leaf traits (Fig. S4). Our findings were similar to those of a study by Mo et al. (2020) on tropical trees, where the researchers showed that adding N and P did not significantly alter leaf traits [51]. They attributed this phenomenon to three factors. First, leaf traits are relatively conserved during development. Second, atmospheric N deposition counteracts the effects of the addition of experimental N [25, 26]. Third, leaves maintain constant values as an adaptation to P-deficient environments [51]. The effects of the addition of only N or P showed (Fig. 2) that adding N positively affected leaf dry mass, while adding P did not significantly affect leaf traits (except for total leaf area and leaf area). This probably occurred because plant growth in this study was N-limited. Our results confirmed to some extent that plant growth in mountainous areas is usually N-limited, rather than P-limited [52, 53].

Some studies have shown that the effect of the combined addition of N and P on plant traits is higher than the effect of adding only N or P [46]. The specific leaf area (SLA) reflects the ability of leaves to capture light and is also a key indicator of plant growth and resource acquisition and conservation strategies [54]. In this study, SLA decreased significantly at medium concentrations of P (P < 0.05) (Fig. S3), but the decrease in SLA at other concentrations was not significant. Most experiments attributed the changes in SLA to the degree of nutrient limitation, light effectiveness, and tree species [54, 55]. Additionally, interactions among the availabilities of N, P, and other elements can lead to confusion regarding the effects of soil nutrient availability on SLA [55]. Moreover, the leafing intensity decreased significantly after adding N and P, while the number of leaves did not decrease significantly (Fig. 1 and S4), indicating that saplings of deciduous species invest more resources in stems after the addition of nutrients, and longer current-year twigs facilitate canopy expansion and space acquisition [18, 41].

The combined addition of N and P significantly increased the leaf dry mass (Fig. 1), and these changes were similar to those of the dry mass of the stem in twigs. Treatment with N20Px at medium to high concentrations showed significant positive effects on leaf dry mass and leaf area, indicating that adding medium concentrations of N alleviated the effects of the addition of P on some leaf cellular and physiological structures and promoted protein synthesis [56]. This result was consistent with that of a study by Avolio et al. (2014) who reported that the combined addition of N and P on net primary productivity has a stronger effect than the addition of only N or P, probably because the addition of only N or P aggravates the limitation by other nutrients, while the combination of N and P promotes plant growth [57, 58]. In the present study, the effect of N with the addition of P and the effect of P with the addition of N also demonstrated this effect. The application of N had a significant positive effect of P on leaf dry mass and LA. Consequently, the application of P had a significant positive effect of N on LA, SPM, and TLA at medium concentrations.

Variations in twig trait networks and the growth performance of wild apple saplings after adding N and P

PTNs are a new tool for investigating complex relationships among multiple plant traits [36, 38]. Such complex relationships arise because most traits are not independent of each other, and potential trade-offs and coordination between traits might allow plants to adapt and respond to environmental changes and enhance plant survival [38]. As plant traits perform the same function together, adaptation across resource gradients results in a complex network of trait correlations [36, 59]. The parameters of PTNs can be used to quantify the complex relationships between traits. When a trait is more tightly connected to other traits, it might have greater importance in regulating plant functions [38, 59]. Research showed that leaf thickness is central to the trait network and strongly regulates the stability of the PTN, as determined by investigating the leaves of tropical to temperate trees in eastern China [60]. A study that investigated different water TP levels found that a high level of TP decreased the connectivity of a large PTN and plant functional potential [51]. In this study, in addition to the key traits included LA in the overall data, the key traits of the twig trait network with the addition of N and P were all related to the stem traits (BD, SM, and TM) (Fig. 3 and S5; Table S2). This indicated that stem traits strongly influence the construction of plant functions and the regulation of resources, and are crucial for the stability of the twig trait network. The traits BD, SM, and TM are necessary for nutrient transport, mechanical support, and spatial expansion of plants, respectively [21, 32]. These findings were similar to those of a study by Kleyer et al. (2019) on herbaceous trait networks where stem mass and stem-specific length were found to be the “hub” trait [37]. Li et al. (2021) showed that broad-leaved species have a stronger network than coniferous species, and they might also be more efficient than coniferous species [38]. Besides, the combined addition of N and P increased the stability, closeness, and connectivity of the trait network of Alyssum linifolium, which facilitated the growth and function of ephemeral plants [61]. In this study, we showed that the addition of N improved the coordination, closeness, and connectivity of PTNs compared to the addition of P, N20Px, and NxP4. This largely indicated that adding N changed the ratios of soil nutrients and increased the effectiveness of soil nutrients, which enhanced plant nutrient uptake and promoted stronger connections in the PTNs [46, 61]. The network clustering coefficients also showed the same conclusion that clustering coefficients were lower after adding N than after adding P, N20Px, and NxP4. But the modularity was higher after adding N than after adding P, N20Px, and NxP4, which indicated that with the combined addition of N and P, wild apple saplings could perform a specific function with fewer resources invested [38, 60].

The comprehensive growth performance was evaluated after adding N and P using the membership function in fuzzy mathematics [39]. The membership function analysis is a method based on the determination and analysis of multiple trait indicators, followed by a comprehensive evaluation of the growth performance of plants [39]. The method is based on the weighted mean of several measurement traits for a more comprehensive and systematic assessment of each trait, which can take many factors into account for evaluating growth performance more objectively, comprehensively, concisely, and accurately [39]. Membership functions are used to comprehensively evaluate forage germplasm resources, peanut germplasm resources, and plant resistance [5, 39], among others. A study showed that biomass and plant tissue N content of Gramineae can be increased by adding N in N-limited plateau regions [62]. Similar results were found for shrubs in coastal areas [43]. The increase in P stocks was greater after adding N and P compared to that after adding only N in the aboveground parts of herbaceous plants [63]. When plants are grown in a nutrient-limited environment, adding N or a certain proportion of P artificially can effectively improve the growth capacity of the plants [21, 46]. The results of this study showed (Fig. 4) that the improvements in twig traits followed the order N > NxP4 > N20Px > P, indicating that the application of N (N only) or a certain amount of P (NxP4; except for N40P4) improved the comprehensive growth performance of wild apple saplings, which was similar to the results of another study [21, 46]. This result will help to provide scientific basis for the management of wild apple saplings in the Tianshan Mountains.

Conclusions

Based on the four-year field experiments involving the addition of nutrients, the effects of adding only N, only P, and N + P on twig traits of wild apple saplings were systematically analyzed. Adding only N showed significant positive effects on twig stems and leaves; adding only P showed highly positive effects on several twig traits; the effect of the combined addition of N and P on twig traits differed depending on the concentrations and ratios of N and P added, but significant improvements were detected for most twig traits. In the PTNs, twig stem traits (BD, SM, and TM) were the key traits that were influenced by the addition of N and P, corroborating the key position of stem traits in phenotype construction. The membership function showed that adding only N or N with a certain amount of P (NxP4) improved the adaptive capacity of wild apple trees; N alone had a better promotion effect on growth performance. These results suggested that applying nutrients while planting wild apple tree seedlings can improve the environmental adaptability and growth status of wild apple saplings. Our findings might contribute to the conservation and scientific management of the rare and precious germplasm resources of wild apple trees.

Data Availability

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

References

  1. Lin PJ, Cui NR. Wild fruit forests resources in Tianshan Mountains. China Forestry Publishing House; 2000. pp. 14–9.

  2. Yan GR, Xu Z. Study on the wild fruit trees in Xinjiang, China. Beijing, China: China Forestry Publishing House; 2010. pp. 12–25.

    Google Scholar 

  3. Velasco R, Zharkikh A, Affourtit J, Dhingra A, Cestaro A, Kalyanaraman A. The genome of the domesticated apple (Malus x domestica Borkh). Nat Genet. 2010;42(10):833–9.

    Article  CAS  PubMed  Google Scholar 

  4. Duan NB, Bai Y, Sun HH, Wang N, Ma YM, Li MJ. Genome re-sequencing reveals the history of apple and supports a two-stage model for fruit enlargement. Nat Commun. 2017;8:249.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Su ZH, Li WJ, Cao QM, Zhou XB, Zhang YM. Age composition and quantitative dynamic status of Malus sieversii population. Arid Zone Res. 2019;36(5):1153–60.

    Google Scholar 

  6. Maimaiti MEKML, Liu ZQ, Ma XD, Zhang HX, Tian ZP. Survival status, problems and conservation strategies of Malus sieversii. Guihaia. 2021;41(12):2100–9.

    Google Scholar 

  7. Tao Y, Nuerhailati MZYRA, Zhang YM, Zhang J, Yin BF, Zhou XB. Influence of branch death on leaf nutrient status and stoichiometry of wild apple trees (Malus sieversii) in the western Tianshan Mountains, China. Pol J Ecol. 2020;68(4):296–312.

    Google Scholar 

  8. Wang B, Chen JH, Huang G, Zhao S, Dong FW, Zhang YY. Growth and nutrient stoichiometry responses to N and P fertilization of 8-year old Masson pines (Pinus massoniana) in subtropical China. Plant Soil. 2022;477(1):343–56.

    Article  CAS  Google Scholar 

  9. Nuerhailati MZYRA, Tao Y, Zhou XB, Zhang YM. Stoichiometry of topsoil in Malus sieversii community in Xinjiang, China. Chin J Ecol. 2019;38(9):2638–47.

    Google Scholar 

  10. Feng JG, Zhu B. A review on the effects of nitrogen and phosphorus addition on tree growth and productivity in forest ecosystems. Chin J Plant Ecol. 2020;44(6):583–97.

    Article  Google Scholar 

  11. Xie YX, Xu H, Chen J, Lu JK, Li YD. Effects of varied soil nitrogen and phosphorus concentrations on the growth and biomass allocation of three leguminous tree seedlings. Plant Sci J. 2019;37(5):662–71.

    Google Scholar 

  12. Carate-Tandalla D, Camenzind T, Leuschner C, Homeier J. Contrasting species responses to continued nitrogen and phosphorus addition in tropical montane forest tree seedlings. Biotropica. 2018;50(2):234–45.

    Article  Google Scholar 

  13. Wright SJ. Plant responses to nutrient addition experiments conducted in tropical forests. Ecol Monogr. 2019;89(4):e01382.

    Article  Google Scholar 

  14. DeForest JL, Snell RS. Tree growth response to shifting soil nutrient economy depends on mycorrhizal associations. New Phytol. 2020;225(6):2557–66.

    Article  CAS  PubMed  Google Scholar 

  15. Yan ZB, Kim N, Han WX, Guo YL, Han TS, Du EZ. Effects of nitrogen and phosphorus supply on growth rate, leaf stoichiometry, and nutrient resorption of Arabidopsis thaliana. Plant Soil. 2015;388(1–2):147–55.

    Article  CAS  Google Scholar 

  16. Wassen MJ, Venterink HO, Lapshina ED, Tanneberger F. Endangered plants persist under phosphorus limitation. Nature. 2005;437(7058):547–50.

    Article  CAS  PubMed  Google Scholar 

  17. Yang DM, Niklas KJ, Xiang S, Sun SC. Size-dependent leaf area ratio in plant twigs: implication for leaf size optimization. Ann Bot. 2010;105(1):71–7.

    Article  PubMed  Google Scholar 

  18. Yan JM, Li YG, Maisupova B, Zhou XB, Zhang J, Liu HL. Effects of growth decline on twig functional traits of wild apple trees in two long-term monitoring plots in Yili Valley: implication for their conservation. Glob Ecol Conserv. 2022;33:e01998.

    Article  Google Scholar 

  19. Sun J, Chen XP, Wang MT, Li JL, Zhong QL, Cheng DL. Application of leaf size and leafing intensity scaling across subtropical trees. Ecol Evol. 2020;10(23):13395–402.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Corner EJH. The durian theory or the origin of the modern tree. Ann Bot. 1949;13(52):367–414.

    Article  Google Scholar 

  21. Cai Q, Ji CJ, Yan ZB, Jiang XX, Fang JY. Anatomical responses of leaf and stem of Arabidopsis thaliana to nitrogen and phosphorus addition. J Plant Res. 2017;130(6):1035–45.

    Article  CAS  PubMed  Google Scholar 

  22. Elser JJ, Dobberfuhl DR, MacKay NA, Schampel JH. Organism size, Life History, and N:P Stoichiometry: toward a unified view of cellular and ecosystem processes. Bioscience. 1996;46(9):674–84.

    Article  Google Scholar 

  23. Wang M, Jiang WT, Sun SY, Duan YA, Shen X, Chen XS. Effects of appropriate N and P fertilizer on growth and soil environments of replanted apple (Malus hupehensis) seedlings. Plant Physiol J. 2017;53(9):1687–94.

    Google Scholar 

  24. Zhang X, Xing Y, Liu ZX, Lu ML, Zhu ZL, Jiang YM. Effects of combined application of nitrogen and phosphorus fertilizer on apple rootstock seedling growth, soil inorganic phosphorus forms and phosphorus utilization. J Soil Water Conserv. 2021;35(4):237–42.

    Google Scholar 

  25. Zhang Y, Zheng LX, Liu XJ, Jickells T, Cape JN, Goulding K. Evidence for organic N deposition and its anthropogenic sources in China. Atmos Environ. 2008;42(5):1035–41.

    Article  CAS  Google Scholar 

  26. Li KH, Gong YM, Song W, He GX, Hu YK, Tian CY. Responses of CH4, CO2 and N2O fluxes to increasing nitrogen deposition in alpine grassland of the Tianshan Mountains. Chemosphere. 2012;88(1):140–3.

    Article  CAS  PubMed  Google Scholar 

  27. Gu HS. On plant resources of inversion layer in Yili. J Plant Res. 1993;2(2):12–5.

    Google Scholar 

  28. Feng T, Zhang Y, hen C. Study on the age structure and density of the wild apple forest of Malus sieversii. J Fruit Sci. 2007;24(5):571–4.

    Google Scholar 

  29. Hua ZH, Tao Y, Yan JM, Zhou XB, Zhang J, Zhang YM. Effects of different levels of nitrogen addition on leaf-stem sizes of Malus sieversii seedlings. Arid Zone Res. 2022;39(1):210–9.

    Google Scholar 

  30. Bradford MA, Fierer N, Jackson RB, Maddox TR, Reynolds JF. Nonlinear root-derived carbon sequestration across a gradient of nitrogen and phosphorous deposition in experimental mesocosms. Glob Change Biol. 2008;14(5):1113–24.

    Article  Google Scholar 

  31. Zhou XB, Lv XF, Tao Y, Wu L, Havrilla CA, Zhang YM. Divergent responses of nitrous oxide, methane and carbon dioxide exchange to pulses of nitrogen addition in a desert in Central Asia. CATENA. 2019;173:29–37.

    Article  CAS  Google Scholar 

  32. Sun SC, Jin DM, Shi PL. The leaf size-twig size spectrum of temperate woody species along an altitudinal gradient: an invariant allometric scaling relationship. Ann Bot. 2006;97(1):97–107.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Li M, Zheng Y, Guo YR, Cheng L, Lu HD, Guo BQ. Scaling relationships between twig size and leaf size of Pinus hwangshanensis along an altitudinal gradient in Wuyi Mountains, China. Chin J Appl Ecol. 2017;28(2):537–44.

    Google Scholar 

  34. Xu Y, Yang XD, Xie YM, Xu YLu, Chang Scott X, Yan ER. Twig size-number trade-off among woody plants in Tiantong region, Zhejiang Province of China. Acta Phytoecol Sin. 2012;36(12):1268–76.

    Google Scholar 

  35. Westoby M, Wright IJ. The leaf size-twig size spectrum and its relationship to other important spectra of variation among species. Oecologia. 2003;135(4):621–8.

    Article  PubMed  Google Scholar 

  36. He NP, Li Y, Liu CC, Xu L, Li MX, Zhang JH. Plant trait networks: improved resolution of the dimensionality of adaptation. Trends Ecol Evol. 2020;35(10):908–18.

    Article  PubMed  Google Scholar 

  37. Kleyer M, Trinogga J, Cebrian-Piqueras MA, Trenkamp A, Flojgaard C, Ejrnaes R. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants. J Ecol. 2019;107(2):829–42.

    Article  CAS  Google Scholar 

  38. Li Y, Liu CC, Xu L, Li MX, Zhang JH, He NP. Leaf trait networks based on global data: representing variation and adaptation in plants. Front. Plant Sci. 2021;12:710530.

    Google Scholar 

  39. Zhu HX, Lai XH, Li LB, Wang HY. Assessment of NO2 resistance of five ornamental garden trees. J Southwest Univ Nat Sci Ed. 2022;44(6):64–72.

    Google Scholar 

  40. Li JY, Guo QX, Zhang JX, Korpelainen H, Li CY. Effects of nitrogen and phosphorus supply on growth and physiological traits of two Larix species. Environ Exp Bot. 2016;130:206–15.

    Article  CAS  Google Scholar 

  41. Li Q, Lv JH, Peng CH, Xiang WH, Xiao WF, Song XZ. Nitrogen -addition accelerates phosphorus cycling and changes phosphorus use strategy in a subtropical Moso bamboo forest. Environ Res Lett. 2021;16(2):24023–3.

    Article  CAS  Google Scholar 

  42. Zhang HH, Liu HF, Li Z, Ding HF, Xue ZX, Zhao FY. Effects of temperature and nitrogen application on photosynthetic characteristics and the absorption and distribution of carbon and nitrogen in apple plants. Photosynthetica. 2021;59(4):538–46.

    Article  CAS  Google Scholar 

  43. Tian D, Yan ZB, Fang JY. Review on characteristics and main hypotheses of plant ecological stoichiometry. Chin J Plant Ecol. 2021;45(7):682–713.

    Article  Google Scholar 

  44. Bahring A, Fichtner A, Ibe K, Schutze G, Temperton VM, von Oheimb G. Ecosystem functions as indicators for heathland responses to nitrogen fertilisation. Ecol Indic. 2017;72:185–93.

    Article  Google Scholar 

  45. Osada N. Crown development in a pioneer tree, Rhus trichocarpa, in relation to the structure and growth of individual branches. New Phytol. 2006;172(4):667–78.

    Article  PubMed  Google Scholar 

  46. Jiang J, Wang YP, Yang YH, Yu MX, Wang C, Yan JH. Interactive effects of nitrogen and phosphorus additions on plant growth vary with ecosystem type. Plant Soil. 2019;440(1–2):523–37.

    Article  CAS  Google Scholar 

  47. Jiang L, Tian D, Ma SH, Zhou XL, Xu LC, Zhu JX. The response of tree growth to nitrogen and phosphorus additions in a tropical montane rainforest. Sci Total Environ. 2018;618:1064–70.

    Article  CAS  PubMed  Google Scholar 

  48. Wu HL, Xiang WH, Ouyang S, Xiao WF, Li SG, Chen L. Tree growth rate and soil nutrient status determine the shift in nutrient-use strategy of chinese fir plantations along a chronosequence. For Ecol Manage. 2020;460:117896.

    Article  Google Scholar 

  49. Song ZP, Hou JH. Provenance differences in functional traits and N: P stoichiometry of the leaves and roots of Pinus tabulaeformis seedlings under N addition. Glob Ecol Conserv. 2020;21:e00826.

    Article  Google Scholar 

  50. Cheng JR, Zhong QL, Zou YX, Chang YN, Liao PF. Effects of different ratios of nitrogen and phosphorus addition on the relationship between the relative growth rate and fine root traits of Machilus pauhoi seedlings. Chin J Ecol. 2022.

  51. Mo QF, Wang WJ, Chen YQ, Peng ZT, Zhou Q. Response of foliar functional traits to experimental N and P addition among overstory and understory species in a tropical secondary forest. Glob Ecol Conserv. 2020;23:e01109.

    Article  Google Scholar 

  52. Li Y, Tian DS, Yang H, Niu SL. Size-dependent nutrient limitation of tree growth from subtropical to cold temperate forests. Funct Ecol. 2018;32(1):95–105.

    Article  Google Scholar 

  53. Gao WX, Zhang J, Zhou XB, Tao Y. Analyses on leaf stoichiometric characteristics and their influencing factors of Malus sieversii in mountainous area of west Junggar Basin. J Plant Resour Environ. 2020;29(5):48–57.

    Google Scholar 

  54. Zheng LL, Zhao Q, Yu ZY, Zhao SY, Zeng DH. Altered leaf functional traits by nitrogen addition in a nutrient-poor pine plantation: a consequence of decreased phosphorus availability. Sci Rep. 2017;7:7415.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Poorter H, Niinemets U, Poorter L, Wright IJ, Villar R. Causes and consequences of variation in leaf mass per area (LMA): a meta-analysis. New Phytol. 2009;182(3):565–88.

    Article  PubMed  Google Scholar 

  56. Kleiman D, Aarssen LW. The leaf size/number trade-off in trees. J Ecol. 2007;95(2):376–82.

    Article  Google Scholar 

  57. Ali SM, Haque M, Hossain M, Hussain MM, Islam MN. Changes in chemical composition of jute seed as influenced by nitrogen and phosphorus fertilizers. Bangladesh Agron J. 2016;19(2):29–38.

    Article  Google Scholar 

  58. Avolio M, Koerner S, La Pierre K, Wilcox K, Wilson G, Smith M. Changes in plant community composition, not diversity, during a decade of nitrogen and phosphorus additions drive above-ground productivity in a tallgrass prairie. J Ecol. 2014;102:1649–60.

    Article  CAS  Google Scholar 

  59. Li Y, Liu CC, Sack L, Xu L, Li MX, Zhang JH. Leaf trait network architecture shifts with species-richness and climate across forests at continental scale. Ecol Lett. 2022;25(6):1442–57.

    Article  PubMed  Google Scholar 

  60. Li Y. Variation of leaf trait network among different vegetation types and its influencing factors. Beijing Forestry University 2020, 25–37.

  61. Tao Y, Zhou XB, Li YG, Liu HL, Zhang YM. Short-term N and P additions differentially alter the multiple functional traits and trait associations of a desert ephemeral plant in China. Environ Exp Bot. 2022;200:104932.

    Article  CAS  Google Scholar 

  62. Dong JF, Cui XY, Niu HS, Zhang J, Zhu CL, Li LF. Effects of nitrogen addition on plant properties and microbiomes under high phosphorus addition level in the alpine steppe. Front Plant Sci. 2022;13:894365.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Schleuss PM, Widdig M, Heintz-Buschart A, Kirkman K, Spohn M. Interactions of nitrogen and phosphorus cycling promote P acquisition and explain synergistic plant-growth responses. Ecology 2020, 101(5):3003–3003.

Download references

Acknowledgements

We thank Drs. Jing Zhang, Hui-Liang Liu, Wen-Jun Li, Yong-Gang Li, Mrs. Liu Xing-Hua, Wang Jian-Yong, Li Zhong-Sheng, and Ms. Meng Huan-Huan for their kindly help in field and lab work.

Funding

This study was supported by the Youth Top Talents Project of “Tianshan Talent” Training Plan of Xinjiang Uygur Autonomous Region (2022TSYCCX0011), the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program (2019QZKK0502), and the Youth Innovation Promotion Association Project, Chinese Academy of Sciences (Y201976).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, Y.M.Z. and Y.T.; methodology, Y.T., X.B.Z., J.M.Y. and Y.Y.Z.; software, Y.Y.Z. and J.M.Y.; validation, Y.T.; formal analysis, Y.Y.Z. and J.M.Y.; investigation, Y.T. and J.M.Y.; resources, X.B.Z. and Y.M.Z.; data curation, Y.Y.Z., J.M.Y. and Y.T.; writing—original draft preparation, Y.Y.Z. and J.M.Y.; writing—review and editing, Y.T.; visualization, Y.Y.Z., J.M.Y. and Y.T.; supervision, Y.M.Z. and Y.T.; project administration, X.B.Z. and Y.T.; funding acquisition, Y.M.Z. and Y.T. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Ye Tao.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, YY., Yan, JM., Zhou, XB. et al. Effects of N and P additions on twig traits of wild apple (Malus sieversii) saplings. BMC Plant Biol 23, 257 (2023). https://doi.org/10.1186/s12870-023-04245-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12870-023-04245-4

Keywords