Next Article in Journal
Invasive Plants in Support of Urban Farming: Fermentation-Based Organic Fertilizer from Japanese Knotweed
Previous Article in Journal
Integrated Building Energy Simulation–Life Cycle Assessment (BES–LCA) Approach for Environmental Assessment of Agricultural Building: A Review and Application to Greenhouse Heating Systems
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Integrated Nutrient Management Significantly Improves Pomelo (Citrus grandis) Root Growth and Nutrients Uptake under Acidic Soil of Southern China

1
College of Resources and Environment, International Magnesium Institute, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2
College of Plant Science, Jilin University, Changchun 130062, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Agronomy 2021, 11(6), 1231; https://doi.org/10.3390/agronomy11061231
Submission received: 20 May 2021 / Revised: 14 June 2021 / Accepted: 15 June 2021 / Published: 17 June 2021

Abstract

:
Root system plays a crucial role in plant growth and development by uptake of soil nutrients, which is affected by intensive use of NPK fertilizer. However, it is unknown how integrated nutrient management (INM) could affect the root growth and its nutrient uptake in the red soils of southern China. For this, the impacts of different INM practices on root morphological traits and root nutrient uptake were investigated in the pomelo tree. First, we investigated the spatial root distribution of various tree ages (i.e., 8, 13, 18, and 23 years old) and found the optimum root growth at 20–80 cm around the tree trunk in topsoil (0–20 cm). Hence, the pomelo trees were fertilized at 20–80 cm around the trunk, i.e., FFP (farmer fertilization practice), optimization NPK fertilizer (O) combined with lime (L) and mushroom residue (M) known as O+L+M treatment, and O+L combined with Mg fertilizer called as O+L+Mg treatment. We found that root length (RL) significantly increased by application of O+L+M (108.5 and 219.1 cm) and O+L+Mg (73.6, 66.8 cm) in topsoil and subsoil, respectively, in 2019. Similarly, root surface area (RSA) was significantly higher under INM, i.e., O+L+Mg > O+L+M > FFP. For root diameter (RD), O+L+M (0.8 mm) and O+L+Mg (1.5 mm) showed significantly lower diameter than FFP (2.54 mm). The root tips (RT) also improved considerably under INM practices compared with FFP. Besides, root nutrient contents (N, P, K, Ca, and Mg) also significantly improved under O+L+M and O+L+Mg over FFP. Similar trends of root growth and nutrients uptake were recorded in 2020. Overall, these findings suggest that INM plays a significant role in root development and nutrient uptake under acidic soil, which could be useful for maximizing crop productivity.

1. Introduction

Citrus is one of the world’s major fruit crops with global availability in over 140 countries, and China is one of the leading citrus-producing countries with an annual citrus production of 4406 × 104 tons [1,2]. Pomelo (Citrus grandis) is the third major type of citrus after Citrus reticulata and Citrus sinensis in China, with an average yield of 320 × 104 tons [3]. Pinghe County (Fujian Province, China) is recognized as the most famous area for pomelo production [3,4,5]. However, the long-term intensive or unbalanced fertilization has caused severe problems in the pomelo orchard, e.g., a decline in soil pH and Mg deficiency, etc. [6,7]. The root growth in acidic soils (pH < 4–4.5) is inhibited by Al3+ toxicity with adverse effects on crop production [8]. Therefore, balanced fertilization is very important for pomelo orchards to develop the most suitable soil conditions for root growth.
Recently, more emphasis has been given to the balanced fertilization strategy by reducing the usage of mineral fertilizers to improve crop quality, production, and uptake of nutrients [9]. The mineral fertilizers, especially nitrogen, phosphorus, and potassium, are essential for plant nutrition [10,11,12] and crop productivity [13,14]. However, an inappropriate or extensive application of fertilizers leads to severe problems of soil acidification [7,15], soil and water pollution [16,17], and greenhouse gas emissions [18,19]. Moreover, it leads to excessive and sudden plant growth with an insufficient root system to provide adequate mineral nutrients and water supply to the plant. Thus, the poor root structure results in reduced flowering and fruit production, leading to poor plant growth [20]. Furthermore, with the increasing cost of chemical fertilizers and growing concerns over the environmental impact of excessive fertilization, there has been increasing scrutiny on how nutrients should be managed on farms [21]. Hence, the selective and appropriate use of substrate is a crucial factor for high production.
Integrated nutrient management (INM) aims for optimal soil fertility and plant nutrition, increasing fertilizer input efficiency, decreasing environmental risks, and improving crop productivity through root/rhizosphere management [9]. Various models have been presented for sustainable soil management to increase the yield and produce nutritious and healthy products [22,23]. Regarding management methods, the application of organic and inorganic sources of nutrient elements has been used to obtain optimum productivity [9]. Therefore, finding innovative integrated nutrient management is a matter of great interest that could offset soil acidification and provide a healthy soil environment for plant roots to uptake the soil nutrients efficiently.
The root system plays an imperative role in crop yield because it performs essential functions for the plant, including water uptake, nutrients acquisition, and anchoring into the soil system [24,25]. It has been found that changes in the soil microenvironments (e.g., soil moisture, temperature, fertility, mechanical strength, and soil porosity, etc.) affect the growth of plant roots [26]. Various studies on the horticultural and agricultural systems have revealed how organic and inorganic amendments affect plant growth and root morphological characteristics [27,28]. However, research on the effects of N.P.K fertilizers amendments with lime, mushroom extract, and Mg fertilizer on tree growth, particularly on root morphological traits, is rare. Lime is recognized as an effective measure to improve the soil pH and has a beneficial effect on root growth [29]. It has also been found that mushroom residue improves soil structure and has a substantial impact on increasing soil pH. However, Mg deficiency usually occurs in the acidic soils of China because a decrease in soil pH is coupled with deficiencies in soil exchangeable Mg [30,31]. Therefore, it would be of great interest to investigate the combined effects of NPK fertilizer with lime, mushroom residue, and Mg fertilizer on root growth. Thus, measurement of root morphological traits such as root length, root surface area, root diameter, etc. are indispensable to broaden the understanding of plant physiological functions. For instance, root length is considered as the most important indicator that controls the water and nutrients acquisition, as well as the primary indicator of plant response to changing environmental conditions [32,33], whereas, root diameter is the beneficial indicator for the increase in biomass [34]. Hence, the knowledge of rooting patterns is an important aspect of crop production because it gives background information for the efficient use of fertilizer. Consequently, root traits have always been a critical target for researchers and breeders for crop improvement.
So far, analyzing the root phenotype is particularly important for understanding the response of root characteristics to nutrient management and developing precise agricultural practices in the future. Therefore, the present study was aimed at comprehensive nutrient management for pomelo orchards prone to soil acidification to develop the most suitable soil conditions for root growth. However, to the best of our knowledge, this study, for the first time, investigated how INM based on inorganic N.P.K fertilizer combined with lime, mushroom residue, and Mg may affect the root growth and nutrients availability in the root system. We hypothesized that fertilizers reduction input plus lime, mushroom residue, and Mg application could construct a more reasonable root architecture in pomelo. Therefore, a two-year field experiment was conducted to compare the effects of INM with conventional nutrient management. The key objectives were (1) to investigate the impact of different INM on root morphological traits and (2) to identify the influence of varying INM on nutrient uptake via roots.

2. Materials and Methods

2.1. Study Area

Guanximiyou pomelo (Citrus grandis) orchard of Pinghe County (24°02′–24°35′ N, 116°54′–117°31′ E) located in the southern region of Fujian Province, was selected for this study. This area is characterized by a subtropical monsoon climate with average annual precipitation of about 1600–2000 mm, temperature 17.5–21.3 °C. The soil type of this study area is classified as haplic ferralsols that are classified as red soil in the Chinese soil classification system and contains 39.2% sand, 35.8% silt, and 25.1% clay [35]. The basic soil properties are shown in Table 1.

2.2. Pomelo Root Spatial Distribution Survey and Analysis

To check the spatial distribution of pommel root, we selected trees of different ages, i.e., 8, 13, 18, and 23 years old. Root samples were collected horizontally at 20, 40, 60, 80, 100, 120, and 140 cm away from the tree trunk at 0–20 and 20–40 cm soil depth vertically (Figure 1). Eight trees were selected for each age of the tree, and samples were collected using a soil core sampler (3 cm diameter). To reduce the plot damage, a borehole sampling method was used to collect the pomelo roots [36]. The roots were washed with deionized water and scanned with the scanner (Epson V800, China, Co., Ltd., Beijing, China). Root images were analyzed using WinRhizo software (Regent Instruments Inc., Quebec, QC, Canada) for diffident root morphological traits, including root length density (RLD), root surface area (RSA), and root diameter (RD).

2.3. Experimental Setup and Harvest

As a result of the spatial root distribution survey, the pomelo trees were fertilized around 20–80 cm from the trunk for two consecutive years, i.e., 2019 and 2020. Based on different growth periods of pomelo, fertilization was applied at four different stages, i.e., February (shooting and flowering stage), April (fruit stabilizing stage), June (fruit expansion stage), and December (Table S1). For fertilization, we set up three treatments: (1) farmer fertilization practice (FFP), (2) optimization of N.P.K (O) by reducing the input, and combined with the application of lime (L) and mushroom residue (M) to control soil pH, and called O+L+M treatment, (3) combination of Mg fertilizer with O+L called as O+L+Mg. The lime used in this study was hydrated lime, i.e., Ca(OH)2, in the form of fine powder. It is used to neutralize the soil acidity to obtain a desirable soil pH that supports plant growth. It was applied around the tree trunk at 20–80 cm (Figure S1). The mushroom residue was the waste material left after the production of mushrooms and obtained from Xiamen Jiangping Company, and chemical composition has been shown in Table S2. These were applied around the tree trunk at 75–125 cm in FFP, while at 20–80 cm in O+L+M (Figure S2). The fertilizers used in this study included urea (46% N), diammonium phosphate (42% P2O5), potassium sulfate (51% K2O), lime (75% CaO), and magnesium sulfate monohydrate (27.5% MgO). The fertilizer application rate is shown in Table 2.
Root samples were collected horizontally 50 cm away from the tree trunk at vertical 0–20 and 20–40 cm soil depth in June 2019 and 2020. The root samples were collected from two trees of each plot and composited as a representative sample for each treatment. Three plots were selected for each replication. The borehole sampling was deployed to obtain the pomelo root samples to minimize plot damage [36]. The roots were scanned with Epson V800, after being cleaned with deionized water. Root images were analyzed using WinRhizo software (Regent Instruments Inc., Quebec, QC, Canada) for diffident root morphological traits, i.e., root length (RL), root surface area (RSA), root diameter (RD), and the number of root tips (RT).

2.4. Determination of Root Nutrient Contents

The root samples were oven-dried (70 °C, 48 h), and dry biomass was recorded. Root N, P, K, Ca, and Mg were extracted and measured according to the following Bao (2000) protocol [37]. For N, P, K, 0.05 g of the ground root sample was weighed and transferred to the digestion tube and 5 mL of concentrated sulfuric acid (H2SO4) and 2.0 mL of hydrogen peroxide (H2O2) were added. The digestion tubes were kept in the digestion block for approximately 4 h, at a temperature of 200 ± 20 °C until obtaining clear digestion without the presence of particles, and then cooled at room temperature. The digested samples were transferred to a 100 mL volumetric flask, filled with 100 mL distilled water, and stored at 4 °C in a refrigerator until nutrients determination. For Ca and Mg determination, 0.10 g of the ground root sample was weighed and transferred to the conical flask, and 12 mL of nitric acid (HNO3): perchloric acid (HClO4) in ratio 5:1 v/v was added. The digestion tubes were taken to the digestion block for approximately 3 h, at a temperature of 200 ± 20 °C until obtaining a clear digest without the presence of particles. This procedure was performed in triplicate for each sample; solutions containing all the reagents were prepared analogously to be evaluated as a blank test. Total nitrogen was determined with a Skalar Flow Analyzer. Total potassium was determined with the Flame Photometer. Total phosphorus, magnesium, and calcium concentrations in the samples were determined using an inductively coupled plasma optical emission spectrometer (ICP-OES), and these solutions were filtered through a 0.4 μm filter membrane before analysis.

2.5. Statistical Analysis

One-way analysis of variance was performed to analyze the effect of different treatments on root morphological traits. A t-test was performed to check whether root traits at different soil depths differed from each other. We performed the least significant difference (LSD0.05) test to analyze the difference between the treatments using the SPSS 25.0 software (International Business Machines Corporation, New York, NY, USA).

3. Results

3.1. Dynamic Spatial Root Distribution

Root length density (RLD) showed significant spatial distribution patterns along with a horizontal soil profile and decreased significantly with increasing distance from the trunk for all ages. Overall, RLD was much higher in 0–80 cm than 140 cm (FFP), and FFP exhibited low root length density. Moreover, we found that RLD in the topsoil (0–20 cm) was much higher than in the subsoil (20–40 cm) (Figure 2a). Similarly, the horizontal spatial distribution of roots distribution also significantly affected the root surface area (RSA) for all tree ages. We found that RSA decreased with increasing distance from the trunk and showed the maximum RSA closer to the trunk (20–80 cm). Like RLD, the minimum RSA was recorded at a sampling point of 140 cm, suggesting the poor reliability of farmer practice. Besides, the average RSA was higher in the topsoil over subsoil (Figure 2b). Root diameter (RD) was also significantly affected along with the horizontal spatial distribution. RD was substantially higher closer to the trunk at 0–80 cm and then gradually decreased and minimum RD was recorded at the 140 cm sampling point. Overall, the RD was higher in the topsoil compared with the subsoil (Figure 2c). Thus, root development along spatial distribution was much better in the 20–80 cm from the trunk and also in the topsoil of 0–20 cm (Figure 2d).

3.2. Root Morphological Traits under Various Nutrients Management Practices

The findings of the present study showed that INM significantly promoted the root morphological characteristics. Under different nutrient management practices, including O+L+M and O+L+Mg, the roots’ morphological traits improved significantly, i.e., root length (RL), root surface area (RSA), root diameter (RD), and root tips (RT) compared with farmer fertilizer practice.
RL was significantly (p ≤ 0.05) increased under O+L+M and O+L+Mg treatments compared with FFP along with vertical soil profile during 2019 and 2020 (Figure 3a). RL under the FFP was 28.97 and 28.75 cm, and it was significantly increased by the application of O+L+M (108.48 and 219.14 cm) and O+L+Mg (73.58, 66.81 cm) for topsoil (0–20 cm) and subsoil (20–40 cm), respectively, in 2019. Similar results were found during the preceding year-2020, and significant RL improvement was recorded (Figure 3a). The INM significantly (p ≤ 0.05) influenced the RSA, and O+L+M and O+L+Mg showed excellent results compared with FFP, i.e., O+L+Mg > O+L+M > FFP. RSA in the topsoil was 7.98, 26.72, 66.68 cm2 for the year 2019, while 54.48, 161.65, and 203.17 cm2 in 2020, at FFP, O+L+M, and O+L+Mg, respectively. Furthermore, the spatial distribution of roots showed a relatively higher average RSA in the topsoil compared with subsoil during 2019 and 2020 (Figure 3b). For average RD, the pomelo trees treated with O+L+M (0.81 mm) and O+L+Mg (1.49 mm) reduced their diameters significantly compared to FFP (2.54 mm) in the topsoil during 2019, and a similar trend was recorded for subsoil in the year 2020. The roots ≤ 2 mm in diameter have greater ability to uptake the nutrients. Hence, average RD was significantly decreased under the O+L+M and O+L+Mg (Figure 3c). Similar to RL, RSA, and RD, the RT was also improved considerably under the O+L+M and O+L+Mg treatments compared with FFP along with vertical soil profile during 2019 and 2020, but the maximum number of RT was found in the topsoil during both years (Figure 3d). Overall, these results imply that nutrient management practices had a significant effect on root development, especially in the topsoil compared with FFP.

3.3. Root Nutrient Contents

Compared with the FFP treatment, the O+L+M and O+L+Mg treatments significantly increased the N, P, K, Ca, and Mg contents in pomelo roots. In the O+L+M and O+L+Mg treatments, the reduced input of N, P, and K did not minimize root nutrient contents, while the root nutrient contents of N, P, K, Ca, and Mg increased significantly.
In 2019, root nutrient contents in topsoil were increased compared with the FFP, e.g., the total amount of N was increased 32.32% and 242.95%, P was increased 64.07% and 187.76%, K was increased 110.62% and 8.02%, Ca was increased 89.97% and 158.37%, and Mg was increased 239.51% and 85.49% for O+L+M and O+L+Mg treatments, respectively. Similarly, at 20–40 cm, root nutrient contents were also increased in O+L+M and O+L+Mg treatments compared with FFP. Root nutrient contents at a soil depth of 0–20 cm were higher on average by 1.5% compared to 20–40 cm. In 2020, the root nutrient contents were significantly increased for N 23.13% and 198.61%; P was increased 139.10% and 74.89%, K was increased 19.10% and 60.85%; Ca was increased 44.49% and 32.96%, and Mg was increased 97.57% and 35.45% under O+L+M and O+L+Mg treatments, respectively, compared with FFP treatment. Hence, the INM increased the root nutrient contents by 60% on average, while root nutrient contents at 0–20 cm were 1.8% higher than 20–40 cm (Figure 4). It implies that the nutrient management (O+L+M and O+L+Mg) showed better results than FFP and also more root nutrient contents at 0–20 cm than 20–40 cm. The INM significantly increased the root nutrient content, indicating that nutrients were fully utilized, and hence improved the nutrient availability under pomelo orchard.

3.4. Relationship between Root Nutrient Contents and Morphological Traits

The root nutrient contents of N, P, K, Ca, and Mg were generally positively correlated with root morphological traits, i.e., RL, RSA, and RT, while negatively correlated with RD during both 2019 and 2020 along with vertical soil profile of 0–20 and 20–40 cm (Figure 5).

4. Discussion

Roots serve as the linkage between soil particles and plants, and their development has a substantial impact on plant nutrition [38]. Various studies imply that root morphological traits have a crucial influence on soil nutrient absorption [39,40,41]. As a consequence, understanding root development and dynamics are critical for determining the most effective nutrient management practices, allowing plant roots to absorb the nutrients efficiently and resulting in better plant growth [42,43]. Therefore, we conducted a systematic study in which first we assessed the development of pomelo root growth, and then based on the initial survey, we identified the impact of various nutrient management practices on root morphological characteristics and its nutrient absorption.
Plants can be fertilized either directly or indirectly; nevertheless, adequate amount, timing, area, and distribution of fertilizer are of prime importance [38,44,45,46]. In Pinghe county, we found that extensive application of N.P.K fertilizer at 75–125 cm away from the trunk (farmer fertilizer practice) resulted in various soil constraints, e.g., soil acidification (low pH) that influences the nutrient’s availability to the plants [46,47]. Therefore, in this study, first we surveyed the distribution of pomelo root growth and found that root growth was concentrated horizontally at 20–80 cm away from the trunk and vertically along 0–20 cm soil profile (Figure 2). Our results are in line with the previous findings of horticulture fruit trees of pear and citrus, suggesting that 86% of root growth was located at the horizontal distance of 80 cm [48,49,50] and vertically concentrated in the upper 15 cm [51,52]. This might be owing to more nutrient availability in these soil layers due to more active biological cycling, and hence root growth is improved and provides more nutrients to the plant [53]. Thus, to check the effectiveness of different nutrient management practices, we reduced the N.P.K fertilizer and integrated it with lime, mushroom residue, and Mg, e.g., O+L+M and O+L+Mg treatments, and we identified the impact on root traits.
As expected, the nutrient management (O+L+M and O+L+Mg) improved the root growth traits (RL, RSA, RD, and RT) (Figure 3) and also root nutrient uptake (Figure 4) compared with FFP under acidic soils. The acidic soils are characterized by high soil acidity and low soil fertility [54], and soil acidification is one of the limiting factors that restrict plant growth and development in south China [55]. Therefore, we used the lime and mushroom residue to control the soil pH because it has been reported that liming with fertilization significantly improves the exchangeable Ca2+ and Mg2+, while decreasing the exchangeable Al3+ [56,57] and promoting the absorption of nutrient elements in the pomelo trees in the topsoil [58,59,60]. Our results agree with those of Hailing et al. (2010), who affirmed liming with fertilization improves the root morphological traits [56,57,61]. Besides, the mushroom residue also significantly improved the root architecture of the pomelo tree and this is consistent with previous findings [62,63]. Mushroom residues contain a significant number of essential nutrients for plant growth that have been reported in previous studies [64,65], and they improve the soil organic matter, quality, and pH [15,63]. Consequently, better nutrient availability resulted in improved root morphological traits under various nutrient management practices and could play an important role in increasing the pomelo yield under acidic soils of southern China.
Mg is primarily absorbed by plants through their root system, and its availability is significantly influenced by soil acidification, e.g., a decrease in soil pH is coupled with deficiency in soil exchangeable Mg [66,67]. However, its mobility is susceptible to leaching in the soil profile, especially in the acidic soil with high precipitation [68]. It has been reported that liming eliminates the detrimental effects of soil acidification and improves the Mg availability and Mg fertilizer use efficiency [69]. Mg application into the soil is thought to be an effective nutrient management practice to improve the soil Mg concentration due to its vital role in photosynthesis, plant growth, and root traits [70]. We found that Mg application significantly improved the pomelo root growth and nutrient uptake. These results are similar to previous findings where the application of Mg significantly improved the root morphological attributes [71,72,73]. It could be explained that Mg fertilizer may improve chlorophyll synthesis and result in glucose production. So, these biochemical attributes are utilized by the plant roots in the respiration process. As a result, root growth traits (root length and root surface area) are improved and facilitate the nutrient uptake by roots in plants [74]. Root length is indeed one of the most frequently measured parameters, primarily due to its significance as a general, standardized predictor of plant response to environmental factors [33], because of its role in the transport of nutrients and water [32]. In addition, we found that root diameter (<2 mm) decreased under integrated management practices, and it has been well established that roots <2 mm favor the higher respiration rate [75], which favors the improved root growth and nutrient uptake [74]. The root surface area and root tips improved under INM possibly due to the synthesis of biochemical attributes under efficient nutrient uptake by roots and were supposed to be favorable for biomass production [34,74]. Hence, these root traits could not be improved under severely Mg deficient soils. Therefore, integrated nutrient management showed significant results in improving the pomelo root growth and enhanced root nutrient availability like N, P, K, Ca, and Mg.

5. Conclusions

This study first investigated the pomelo rooting growth patterns along with vertical and horizontal soil profiles. We found that root growth was more active and concentrated at the top vertical soil profile of 0–20 cm compared with 20–40 cm, while horizontally, the root growth and development was better at 20–80 cm from the tree trunk. Thus, we applied different treatments (O+L+M and O+L+Mg) in the active root growth zone, i.e., 20–80 cm, and compared with farmer fertilization practice. We found that nutrient management, including lime, mushroom residue, and Mg fertilizer with optimized input of N.P.K fertilizers, significantly improved the root morphological traits, i.e., root length, root surface area, root diameter, and root tips compared with the farmer fertilization practice. It also resulted in improved root nutrient uptake, e.g., such as N, P, K, Ca, and Mg, and we found a positive correlation between the root morphological traits and root nutrient uptake. Therefore, the application of optimized N.P.K fertilizer combined with lime, mushroom residue, and Mg fertilizer is an effective approach in the acidic and Mg-deficient pomelo orchards to develop healthy and sustainable orchards by means of improving the root growth and its nutrient uptake. However, it is imperative to further investigate the effects of nutrient management on pomelo yield, quality, and socioeconomic benefits.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/agronomy11061231/s1.

Author Contributions

Methodology, formal analysis, writing—original draft preparation, X.H. and M.A.M.; validation, software; J.L. and W.H., visualization, formal analysis, C.M., J.J. and Y.C.; X.C. data curation and investigation; Conceptualization, writing—review and editing, L.W., Conceptualization, supervision, writing—review and editing, C.Z. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by National Natural Science Foundation of China (41601244) and Open Research Foundation of International Magnesium Institute (IMI2018-09).

Acknowledgments

Sincere gratitude to Xinming Lin for providing pomelo orchards, Yadong Zhang, Jinchang Yang, Weiqiang Zhang, and Kaiyue Xu for samples collection, Xizi Xia, Juanyan Li, Jing Luo, Haoran Jia, and Mingyi Peng for sample pretreatment, and Chunjian Li for providing useful guidance to improve the study.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Chen, X.; Xu, X.; Lu, Z.; Zhang, W.; Yang, J.; Hou, Y.; Wang, X.; Zhou, S.; Li, Y.; Wu, L.; et al. Carbon footprint of a typical pomelo production region in China based on farm survey data. J. Clean. Prod. 2020, 277, 124041. [Google Scholar] [CrossRef]
  2. Citrus Fruit Production by Country. 2020. Available online: https://knoema.com/ (accessed on 20 May 2021).
  3. Li, Y.; Han, M.-Q.; Lin, F.; Ten, Y.; Lin, J.; Zhu, D.-H.; Guo, P.; Weng, Y.B.; Chen, L.-S. Soil chemical properties,’Guanximiyou’pummelo leaf mineral nutrient status and fruit quality in the southern region of Fujian province, China. J. Soil Sci. Plant Nutr. 2015, 15, 615–628. [Google Scholar]
  4. Guo, J.; Yang, J.; Zhang, L.; Chen, H.; Jia, Y.; Wang, Z.; Wang, D.; Liao, W.; Chen, L.-S.; Li, Y. Lower soil chemical quality of pomelo orchards compared with that of paddy and vegetable fields in acidic red soil hilly regions of southern China. J. Soils Sediments 2019, 19, 2752–2763. [Google Scholar] [CrossRef]
  5. Yan, X.; Yang, W.; Muneer, M.A.; Zhang, S.; Wang, M.; Wu, L. Land-use change affects stoichiometric patterns of soil organic carbon, nitrogen, and phosphorus in the red soil of Southeast China. J. Soils Sediments 2021. [Google Scholar] [CrossRef]
  6. Zeng, M.; de Vries, W.; Bonten, L.T.C.; Zhu, Q.; Hao, T.; Liu, X.; Xu, M.; Shi, X.; Zhang, F.; Shen, J. Model-based analysis of the long-term effects of fertilization management on cropland soil acidification. Environ. Sci. Technol. 2017, 51, 3843–3851. [Google Scholar] [CrossRef] [PubMed]
  7. Guo, J.H.; Liu, X.J.; Zhang, Y.; Shen, J.L.; Han, W.X.; Zhang, W.F.; Christie, P.; Goulding, K.W.T.; Vitousek, P.M.; Zhang, F.S. Significant acidification in major chinese croplands. Science 2010, 327, 1008–1010. [Google Scholar] [CrossRef] [Green Version]
  8. Haling, R.E.; Simpson, R.J.; Delhaize, E.; Hocking, P.J.; Richardson, A.E. Effect of lime on root growth, morphology and the rhizosheath of cereal seedlings growing in an acid soil. Plant Soil 2010, 327, 199–212. [Google Scholar] [CrossRef]
  9. Murillo-Amador, B.; Morales-Prado, L.E.; Troyo-Diéguez, E.; Córdoba-Matson, M.V.; Hernández-Montiel, L.G.; Rueda-Puente, E.O.; Nieto-Garibay, A. Changing environmental conditions and applying organic fertilizers in Origanum vulgare L. Front. Plant Sci. 2015, 6, 549. [Google Scholar] [CrossRef] [Green Version]
  10. Muneer, M.A.; Wang, P.; un Nisa, Z.; Lin, C.; Ji, B. Potential role of common mycorrhizal networks in improving plant growth and soil physicochemical properties under varying nitrogen levels in a grassland ecosystem. Glob. Ecol. Conserv. 2020, 24, e01352. [Google Scholar] [CrossRef]
  11. Mantovani, J.R.; da Silveira, L.G.; Landgraf, P.R.C.; dos Santos, A.R.; Costa, B.D.S. Phosphorus rates and use of cattle manure in potted gerbera cultivation. Ornam. Hortic. 2017, 23, 412–418. [Google Scholar] [CrossRef] [Green Version]
  12. Muneer, M.A.; Wang, P.; Zhang, J.; Li, Y.; Munir, M.Z.; Ji, B. Formation of Common Mycorrhizal Networks Significantly Affects Plant Biomass and Soil Properties of the Neighboring Plants under Various Nitrogen Levels. Microorganisms 2020, 8, 230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Yousaf, M.; Li, J.; Lu, J.; Ren, T.; Cong, R.; Fahad, S.; Li, X. Effects of fertilization on crop production and nutrient-supplying capacity under rice-oilseed rape rotation system. Sci. Rep. 2017, 7, 1270. [Google Scholar] [CrossRef] [PubMed]
  14. Feng, J.; Hussain, H.A.; Hussain, S.; Shi, C.; Cholidah, L.; Men, S.; Ke, J.; Wang, L. Optimum Water and Fertilizer Management for Better Growth and Resource Use Efficiency of Rapeseed in Rainy and Drought Seasons. Sustainability 2020, 12, 703. [Google Scholar] [CrossRef] [Green Version]
  15. Tian, D.; Niu, S. A global analysis of soil acidification caused by nitrogen addition. Environ. Res. Lett. 2015. [Google Scholar] [CrossRef]
  16. Tang, W.; Shan, B.; Zhang, H.; Mao, Z. Heavy metal sources and associated risk in response to agricultural intensification in the estuarine sediments of Chaohu Lake Valley, East China. J. Hazard. Mater. 2010, 176, 945–951. [Google Scholar] [CrossRef]
  17. Ju, X.-T.; Xing, G.-X.; Chen, X.-P.; Zhang, S.-L.; Zhang, L.-J.; Liu, X.-J.; Cui, Z.-L.; Yin, B.; Christie, P.; Zhu, Z.-L. Reducing environmental risk by improving N management in intensive Chinese agricultural systems. Proc. Natl. Acad. Sci. USA 2009, 106, 3041–3046. [Google Scholar] [CrossRef] [Green Version]
  18. Chen, X.; Ma, C.; Zhou, H.; Liu, Y.; Huang, X.; Wang, M.; Cai, Y.; Su, D.; Muneer, M.A.; Guo, M.; et al. Identifying the main crops and key factors determining the carbon footprint of crop production in China, 2001–2018. Resour. Conserv. Recycl. 2021, 172, 105661. [Google Scholar] [CrossRef]
  19. Tarin, M.W.K.; Khaliq, M.A.; Fan, L.; Xie, D.; Tayyab, M.; Chen, L.; He, T.; Rong, J.; Zheng, Y. Divergent consequences of different biochar amendments on carbon dioxide (CO2) and nitrous oxide (N2O) emissions from the red soil. Sci. Total Environ. 2021, 754, 141935. [Google Scholar] [CrossRef] [PubMed]
  20. Smith, K. The Perils of Over-Fertilizing Plants and Trees. Available online: http://mgeldorado.ucanr.edu/files/170168.pdf (accessed on 20 May 2021).
  21. Chen, X.; Cui, Z.; Fan, M.; Vitousek, P.; Zhao, M.; Ma, W.; Wang, Z.; Zhang, W.; Yan, X.; Yang, J. Producing more grain with lower environmental costs. Nature 2014, 514, 486–489. [Google Scholar] [CrossRef]
  22. Awad, F.; Khalil, K.W.; Maksoud, M.A. Comparative effects of some organic manures and bentonite as soil amendments. Agrochimica 1993, 37, 369–387. [Google Scholar]
  23. Tahat, M.M.; Alananbeh, K.M.; Othman, Y.A.; Leskovar, D.I. Soil health and sustainable agriculture. Sustainability 2020, 12, 4859. [Google Scholar] [CrossRef]
  24. Correa, J.; Postma, J.A.; Watt, M.; Wojciechowski, T. Soil compaction and the architectural plasticity of root systems. J. Exp. Bot. 2019, 70, 6019–6034. [Google Scholar] [CrossRef]
  25. Smith, S.; De Smet, I. Root System Architecture: Insights from Arabidopsis and Cereal Crops; Royals Society: London, UK, 2012; pp. 1441–1452. [Google Scholar]
  26. Freschet, G.T.; Valverde-Barrantes, O.J.; Tucker, C.M.; Craine, J.M.; McCormack, M.L.; Violle, C.; Fort, F.; Blackwood, C.B.; Urban-Mead, K.R.; Iversen, C.M. Climate, soil and plant functional types as drivers of global fine-root trait variation. J. Ecol. 2017, 105, 1182–1196. [Google Scholar] [CrossRef] [Green Version]
  27. Chung, Y.S.; Kim, S.; Park, C.; Na, C.; Kim, Y. Treatment with silicon fertilizer induces changes in root morphological traits in soybean (Glycine max L.) during early growth. J. Crop Sci. Biotechnol. 2020, 23, 445–451. [Google Scholar] [CrossRef]
  28. Zhang, Z.; Dong, X.; Wang, S.; Pu, X. Benefits of organic manure combined with biochar amendments to cotton root growth and yield under continuous cropping systems in Xinjiang, China. Sci. Rep. 2020, 10, 4718. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  29. Fageria, N.K.; Moreira, A. The role of mineral nutrition on root growth of crop plants. Adv. Agron. 2011, 110, 251–331. [Google Scholar]
  30. Chen, Z.C.; Peng, W.T.; Li, J.; Liao, H. Functional dissection and transport mechanism of magnesium in plants. In Proceedings of the Seminars in Cell & Developmental Biology; Elsevier: Amsterdam, The Netherlands, 2018; Volume 74, pp. 142–152. [Google Scholar]
  31. Wen, M.; Wu, S.; Wang, P.; Jin, G.; Zhu, X.; Shi, X. Effect of magnesium (Mg) application in Satsuma Mandarin orchard with Mg nutrient deficiency. J. Fruit Sci. 2015, 32, 63–68. [Google Scholar]
  32. Clothier, B.E.; Green, S.R. Roots: The big movers of water and chemical in soil. Soil Sci. 1997, 162, 534–543. [Google Scholar] [CrossRef]
  33. Edwards, E.J.; Benham, D.G.; Marland, L.A.; Fitter, A.H. Root production is determined by radiation flux in a temperate grassland community. Glob. Chang. Biol. 2004, 10, 209–227. [Google Scholar] [CrossRef] [Green Version]
  34. Eissenstat, D.M.; Yanai, R.D. The ecology of root lifespan. In Advances in Ecological Research; Elsevier: Amsterdam, The Netherlands, 1997; Volume 27, pp. 1–60. ISBN 0065-2504. [Google Scholar]
  35. Smith, D.W. Soil Survey Staff: Keys to Soil Taxonomy; USDA-Natural Resources Conservation Service: Washington, DC, USA, 2014. [Google Scholar]
  36. Junying, L.; Baochun, F.; Yingchun, M. A review of researches and methods for fine-root production and Turnover of Trees. J. Shanxi Agric. Univ. 2006, 26, 1–6. [Google Scholar]
  37. Bao, S.D. Soil and Agricultural Chemistry Analysis; China Agricultural Press: Beijing, China, 2000; pp. 30–34. (In Chinese) [Google Scholar]
  38. Morgan, J.Á.; Connolly, E.Á. Plant-soil interactions: Nutrient uptake. Nat. Educ. Knowl. 2013, 4, 2. [Google Scholar]
  39. López-Bucio, J.; Cruz-Ramırez, A.; Herrera-Estrella, L. The role of nutrient availability in regulating root architecture. Curr. Opin. Plant Biol. 2003, 6, 280–287. [Google Scholar] [CrossRef]
  40. Yang, C.; Yang, L.; Yang, Y.; Ouyang, Z. Rice root growth and nutrient uptake as influenced by organic manure in continuously and alternately flooded paddy soils. Agric. Water Manag. 2004, 70, 67–81. [Google Scholar] [CrossRef]
  41. Wang, H.; Inukai, Y.; Yamauchi, A. Root development and nutrient uptake. CRC Crit. Rev. Plant Sci. 2006, 25, 279–301. [Google Scholar] [CrossRef]
  42. Barber, S.A.; Silberbush, M. Plant root morphology and nutrient uptake. Roots Nutr. Water Influx Plant Growth 1984, 49, 65–87. [Google Scholar]
  43. Baligar, V.C.; Fageria, N.K.; He, Z.L. Nutrient use efficiency in plants. Commun. Soil Sci. Plant Anal. 2001, 32, 921–950. [Google Scholar] [CrossRef]
  44. Zekri, M.; Schumann, A.W.; Vashisth, T.; Kadyampakeni, D.; Morgan, K.T.; Boman, B.; Obreza, T.A. 2020–2021 Florida Citrus Production Guide: Fertilizer Application Methods. EDIS 2020. [Google Scholar] [CrossRef]
  45. Roberts, T.L. Right product, right rate, right time and right place… the foundation of best management practices for fertilizer. Fertil. Best Manag. Pr. 2007, 29, 1–8. [Google Scholar]
  46. Quiñones, A.; Martínez-Alcántara, B.; Primo-Millo, E.; Legaz, F. Fertigation: Concept and application in citrus. In Advances in Citrus Nutrition; Springer: Berlin/Heidelberg, Germany, 2012; pp. 281–301. [Google Scholar]
  47. Long, A.; Zhang, J.; Yang, L.-T.; Ye, X.; Lai, N.-W.; Tan, L.-L.; Lin, D.; Chen, L.-S. Effects of low pH on photosynthesis, related physiological parameters, and nutrient profiles of citrus. Front. Plant Sci. 2017, 8, 185. [Google Scholar] [CrossRef] [Green Version]
  48. Machado, B.D.; Magro, M.; de Souza, D.S.; Rufato, L.; Kretzschmar, A.A. Study on the growth and spatial distribution of the root system of different european pear cultivars on quince rootstock combinations. Rev. Bras. Frutic. 2018, 40. [Google Scholar] [CrossRef]
  49. Santana, M.B.; Souza, L.d.S.; Souza, L.D.; Fontes, L.E.F. Soil physical attributes and citrus root system distribution as indicators of cohesive layers in soils of coastal table lands in the state of Bahia, Brazil. Rev. Bras. Ciênc. Solo 2006, 30, 1–12. [Google Scholar] [CrossRef] [Green Version]
  50. Sun, W.T.; Ma, M.; Dong, T.; Liu, X.L.; Zhao, M.X.; Yin, X.N.; Niu, J.Q. Response of distribution pattern and physiological characteristics of apple roots grown in the dry area of eastern Gansu to ground mulching. Ying Yong Sheng Tai Xue Bao J. Appl. Ecol. 2016, 27, 3153–3163. [Google Scholar]
  51. Spiers, J.M. Root Distribution ofGulfcoast’Southern Highbush Blueberry. HortScience 1997, 32, 428A. [Google Scholar] [CrossRef]
  52. Xi, B.; Wang, Y.; Jia, L.; Bloomberg, M.; Li, G.; Di, N. Characteristics of fine root system and water uptake in a triploid Populus tomentosa plantation in the North China Plain: Implications for irrigation water management. Agric. Water Manag. 2013, 117, 83–92. [Google Scholar] [CrossRef]
  53. Van der Heijden, G.; Dambrine, E.; Pollier, B.; Zeller, B.; Ranger, J.; Legout, A. Mg and Ca uptake by roots in relation to depth and allocation to aboveground tissues: Results from an isotopic labeling study in a beech forest on base-poor soil. Biogeochemistry 2015, 122, 375–393. [Google Scholar] [CrossRef]
  54. Von Uexküll, H.R.; Mutert, E. Global extent, development and economic impact of acid soils. Plant Soil 1995, 171, 1–15. [Google Scholar] [CrossRef]
  55. Cai, Z.; Wang, B.; Xu, M.; Zhang, H.; He, X.; Zhang, L.; Gao, S. Intensified soil acidification from chemical N fertilization and prevention by manure in an 18-year field experiment in the red soil of southern China. J. Soils Sediments 2015, 15, 260–270. [Google Scholar] [CrossRef]
  56. Qaswar, M.; Dongchu, L.; Jing, H.; Tianfu, H.; Ahmed, W.; Abbas, M.; Lu, Z.; Jiangxue, D.; Khan, Z.H.; Ullah, S.; et al. Interaction of liming and long-term fertilization increased crop yield and phosphorus use efficiency (PUE) through mediating exchangeable cations in acidic soil under wheat–maize cropping system. Sci. Rep. 2020, 10, 19828. [Google Scholar] [CrossRef]
  57. Han, T.; Cai, A.; Liu, K.; Huang, J.; Wang, B.; Li, D.; Qaswar, M.; Feng, G.; Zhang, H. The links between potassium availability and soil exchangeable calcium, magnesium, and aluminum are mediated by lime in acidic soil. J. Soils Sediments 2019. [Google Scholar] [CrossRef]
  58. Álvarez, E.; Viadé, A.; Fernández-Marcos, M.L. Effect of liming with different sized limestone on the forms of aluminium in a Galician soil (NW Spain). Geoderma 2009, 152, 1–8. [Google Scholar] [CrossRef]
  59. Aye, N.S.; Sale, P.W.G.; Tang, C. The impact of long-term liming on soil organic carbon and aggregate stability in low-input acid soils. Biol. Fertil. Soils 2016, 52, 697–709. [Google Scholar] [CrossRef]
  60. Korzune, M.; Ávila, F.W.; Botelho, R.V.; Petranski, P.H.; de Matos, K.K.B.L.; Rampim, L.; Muller, M.M.L. Nutrient concentrations in trifoliate orange as affected by lime and gypsum. Res. Soc. Dev. 2020, 9, e7449109096. [Google Scholar] [CrossRef]
  61. Trinchera, A.; Torrisi, B.; Allegra, M.; Rinaldi, S.; Rea, E.; Intrigliolo, F.; Roccuzzo, G. Effects of organic fertilization on soil organic matter and root morphology and density of orange trees. Acta Hortic 2015, 1065, 1807–1814. [Google Scholar] [CrossRef]
  62. Uzun, I. Use of Spent Mushroom Compost in Sustainable Fruit Production. J. Fruit Ornam. Plant Res. 2004, 12, 157–165. [Google Scholar]
  63. Oei, P.; Hui, Z.; Jianhua, L.; Jianqing, D.; Meiyuan, C.; Yi, C. The Alternative Uses of Spent Mushroom Compost; Oei, P., Ed.; Productschap Tuinbouw: Tiel, The Netherlands, 2007. [Google Scholar]
  64. Fan, R.; Luo, J.; Gao, Y.; Liu, H.; Yan, S.; Zhang, Z. Advances in utilization of agricultural wastes in soilless growing medium production. Jiangsu J. Agric. Sci. 2014, 30, 442–448. [Google Scholar]
  65. Kulshreshtha, S.; Mathur, N.; Bhatnagar, P. Mushroom as a product and their role in mycoremediation. AMB Express 2014, 4, 29. [Google Scholar] [CrossRef] [Green Version]
  66. Chan, K.Y.; Davey, B.G.; Geering, H.R. Adsorption of Magnesium and Calcium by a Soil with Variable Charge. Soil Sci. Soc. Am. J. 1979, 43, 301–304. [Google Scholar] [CrossRef]
  67. Cremer, M.; Prietzel, J. Soil acidity and exchangeable base cation stocks under pure and mixed stands of European beech, Douglas fir and Norway spruce. Plant Soil 2017, 415, 393–405. [Google Scholar] [CrossRef]
  68. Gransee, A.; Führs, H. Magnesium mobility in soils as a challenge for soil and plant analysis, magnesium fertilization and root uptake under adverse growth conditions. Plant Soil 2013, 368, 5–21. [Google Scholar] [CrossRef] [Green Version]
  69. Holland, J.E.; Bennett, A.E.; Newton, A.C.; White, P.J.; McKenzie, B.M.; George, T.S.; Pakeman, R.J.; Bailey, J.S.; Fornara, D.A.; Hayes, R.C. Liming impacts on soils, crops and biodiversity in the UK: A review. Sci. Total Environ. 2018, 610–611, 316–332. [Google Scholar] [CrossRef] [PubMed]
  70. Gerendás, J.; Führs, H. The significance of magnesium for crop quality. Plant Soil 2013, 368, 101–128. [Google Scholar] [CrossRef] [Green Version]
  71. Cakmak, I.; Hengeler, C.; Marschner, H. Partitioning of shoot and root dry matter and carbohydrates in bean plants suffering from phosphorus, potassium and magnesium deficiency. J. Exp. Bot. 1994, 45, 1245–1250. [Google Scholar] [CrossRef]
  72. Cakmak, I.; Hengeler, C.; Marschner, H. Changes in phloem export of sucrose in leaves in response to phosphorus, potassium and magnesium deficiency in bean plants. J. Exp. Bot. 1994, 45, 1251–1257. [Google Scholar] [CrossRef]
  73. Zhang, J.; Li, B.; Zhang, J.; Christie, P.; Li, X. Organic fertilizer application and Mg fertilizer promote banana yield and quality in an Udic Ferralsol. PLoS ONE 2020, 15, e0230593. [Google Scholar] [CrossRef] [PubMed]
  74. Tarin, M.W.K.; Fan, L.L.; Shen, L.; Lai, J.L.; Tayyab, M.; Sarfraz, R.; Chen, L.Y.; Ye, J.; He, T.Y.; Rong, J.D.; et al. Effects of different biochars ammendments on physiochemical properties of soil and root morphological attributes of Fokenia Hodginsii (Fujian cypress). Appl. Ecol. Environ. Res. 2019, 17, 11107–11120. [Google Scholar] [CrossRef]
  75. Sprugel, G.; Ryan, M.G.; Brooks, J.R.; Vogt, K.A.; Martin, T.A. Respiration from the Organ Level to the Stand. In Resource Physiology of Conifers; Academic Press: Cambridge, MA, USA, 1995; pp. 255–299. ISBN 9780126528701. [Google Scholar]
Figure 1. Collection of root samples for spatial distribution. The root samples were collected vertically from 0–20 cm and 20–40 cm soil profiles. For horizontal spatial root distribution, root samples were collected from 7 soil layers (0–140 cm, each at 20 cm interval) around the tree trunk.
Figure 1. Collection of root samples for spatial distribution. The root samples were collected vertically from 0–20 cm and 20–40 cm soil profiles. For horizontal spatial root distribution, root samples were collected from 7 soil layers (0–140 cm, each at 20 cm interval) around the tree trunk.
Agronomy 11 01231 g001
Figure 2. Spatial distribution of pomelo root growth under different tree ages. (a) Root length density; (b) root surface area; (c) root diameter, along the horizontal (20–140 cm) and vertical (0–20, 20–40 cm) soil profile. The red dot at 140 cm is showing the farmer fertilizer practice zone of fertilizer application. Significant differences (p < 0.05) among different horizontal sampling points are shown by different letters, n = 8; (d) Overall distribution pattern of pomelo root growth concentrated in 20–80 cm.
Figure 2. Spatial distribution of pomelo root growth under different tree ages. (a) Root length density; (b) root surface area; (c) root diameter, along the horizontal (20–140 cm) and vertical (0–20, 20–40 cm) soil profile. The red dot at 140 cm is showing the farmer fertilizer practice zone of fertilizer application. Significant differences (p < 0.05) among different horizontal sampling points are shown by different letters, n = 8; (d) Overall distribution pattern of pomelo root growth concentrated in 20–80 cm.
Agronomy 11 01231 g002
Figure 3. Root morphological traits under different nutrient management. (a) Root length; (b) root surface area; (c) root diameter; (d) root tips, along with the vertical soil profile, i.e., 0–20 and 20–40 cm during 2019 and 2020. The alphabetic letters on the bars indicate a significant difference (LSD0.05). The error bars represent the standard deviation of the mean (n = 3). The upper-case letters denote the significant differences for different treatments at 0–20 cm, while the lower-case letters for 20–40 cm depth. The significant differences between the topsoil (0–20 cm) and subsoil (20–40 cm) are indicated by the symbol *, while ns denotes the non-significant differences (n = 3).
Figure 3. Root morphological traits under different nutrient management. (a) Root length; (b) root surface area; (c) root diameter; (d) root tips, along with the vertical soil profile, i.e., 0–20 and 20–40 cm during 2019 and 2020. The alphabetic letters on the bars indicate a significant difference (LSD0.05). The error bars represent the standard deviation of the mean (n = 3). The upper-case letters denote the significant differences for different treatments at 0–20 cm, while the lower-case letters for 20–40 cm depth. The significant differences between the topsoil (0–20 cm) and subsoil (20–40 cm) are indicated by the symbol *, while ns denotes the non-significant differences (n = 3).
Agronomy 11 01231 g003
Figure 4. Nutrient management effects on root nutrient contents. (a) Nitrogen (N mg/kg). (b) Phosphorous (P mg/kg). (c) Potassium (K mg/kg). (d) Calcium (Ca mg/kg). (e) Magnesium (Mg mg/kg) along with the vertical soil profile, i.e., 0–20 and 20–40 cm during 2019 and 2020. The alphabetic letters on the bars indicate a significant difference (LSD0.05). The error bars represent the standard deviation of the mean (n = 3). The upper-case letters denote the significant differences for different treatments at 0–20 cm, while the lower-case letters for 20–40 cm depth.
Figure 4. Nutrient management effects on root nutrient contents. (a) Nitrogen (N mg/kg). (b) Phosphorous (P mg/kg). (c) Potassium (K mg/kg). (d) Calcium (Ca mg/kg). (e) Magnesium (Mg mg/kg) along with the vertical soil profile, i.e., 0–20 and 20–40 cm during 2019 and 2020. The alphabetic letters on the bars indicate a significant difference (LSD0.05). The error bars represent the standard deviation of the mean (n = 3). The upper-case letters denote the significant differences for different treatments at 0–20 cm, while the lower-case letters for 20–40 cm depth.
Agronomy 11 01231 g004
Figure 5. Linear correlation between root traits and nutrient contents. The correlation analysis was studied; (a,b) Year-2019 at 0–20 and 20–40 cm; (c,d) Year-2020 at 0–20 and 20–40 cm, between root morphological traits root length (RL), root surface area (RSA), root diameter (RD), root tips (RT), and root nutrient contents nitrogen (N), phosphorous (P), potassium (K), calcium (Ca), and magnesium (Mg). The values indicate the correlation coefficients.
Figure 5. Linear correlation between root traits and nutrient contents. The correlation analysis was studied; (a,b) Year-2019 at 0–20 and 20–40 cm; (c,d) Year-2020 at 0–20 and 20–40 cm, between root morphological traits root length (RL), root surface area (RSA), root diameter (RD), root tips (RT), and root nutrient contents nitrogen (N), phosphorous (P), potassium (K), calcium (Ca), and magnesium (Mg). The values indicate the correlation coefficients.
Agronomy 11 01231 g005
Table 1. Soil physicochemical properties of the pomelo orchard (means ± standard deviation, n = 3).
Table 1. Soil physicochemical properties of the pomelo orchard (means ± standard deviation, n = 3).
Soil DepthpHNitrate-NAmmonium-NAvailable-PAvailable-KExchangeable-CaExchangeable-Mg
(cm)(mg/kg)(mg/kg)(mg/kg)(mg/kg)(mg/kg)(mg/kg)
0–204.6 ± 0.411.0 ± 3.145.7 ± 14.8787.6 ± 94.5341.0 ± 87.8294.4 ± 159.892.8 ± 37.1
20–404.2 ± 0.46.0 ± 1.832.3 ± 22.1509.9 ± 116.0252.9 ± 54.7260.0 ± 121.063.4 ± 26.1
Table 2. The application of fertilizers (kg/ha).
Table 2. The application of fertilizers (kg/ha).
TreatmentNP2O5K2OMgOLimeMushroom Residue
FFP1084914906007700
O+L+M1600176031082000
O+L+Mg20002004031080
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Huang, X.; Muneer, M.A.; Li, J.; Hou, W.; Ma, C.; Jiao, J.; Cai, Y.; Chen, X.; Wu, L.; Zheng, C. Integrated Nutrient Management Significantly Improves Pomelo (Citrus grandis) Root Growth and Nutrients Uptake under Acidic Soil of Southern China. Agronomy 2021, 11, 1231. https://doi.org/10.3390/agronomy11061231

AMA Style

Huang X, Muneer MA, Li J, Hou W, Ma C, Jiao J, Cai Y, Chen X, Wu L, Zheng C. Integrated Nutrient Management Significantly Improves Pomelo (Citrus grandis) Root Growth and Nutrients Uptake under Acidic Soil of Southern China. Agronomy. 2021; 11(6):1231. https://doi.org/10.3390/agronomy11061231

Chicago/Turabian Style

Huang, Xiaoman, Muhammad Atif Muneer, Jian Li, Wei Hou, Changcheng Ma, Jiabin Jiao, Yuanyang Cai, Xiaohui Chen, Liangquan Wu, and Chaoyuan Zheng. 2021. "Integrated Nutrient Management Significantly Improves Pomelo (Citrus grandis) Root Growth and Nutrients Uptake under Acidic Soil of Southern China" Agronomy 11, no. 6: 1231. https://doi.org/10.3390/agronomy11061231

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop