The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

Weiwei Zhang; Qiong Wang; Qihua Wu; Shuxiang Zhang; Ping Zhu; Chang Peng; Shaomin Huang; Boren Wang; Huimin Zhang

doi:10.1371/journal.pone.0230178

. 2020 Mar 18;15(3):e0230178. doi: 10.1371/journal.pone.0230178

The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

Weiwei Zhang ¹, Qiong Wang ^1,^¤, Qihua Wu ², Shuxiang Zhang ^1,^*, Ping Zhu ³, Chang Peng ³, Shaomin Huang ⁴, Boren Wang ¹, Huimin Zhang ¹

Editor: Vassilis G Aschonitis⁵

PMCID: PMC7080265 PMID: 32187213

Abstract

The Olsen phosphorus (Olsen-P) concentration of soil is generally a good indicator for estimating the bioavailability of P and environmental risk in soils. To maintain soil Olsen-P at adequate levels for crop growth and environmental sustainability, the relationship between soil Olsen-P and the P budget (the P input minus the output) as well as the variations of soil Olsen-P and P budget were investigated from three long-term (22 years) experiments in China. Five treatments were selected: (1) unfertilized control (CK); (2) nitrogen and potassium (NK); (3) nitrogen, phosphorous, and potassium (NPK); (4) nitrogen, phosphorous, potassium and straw; (5) nitrogen, phosphorous, potassium and manure. The results showed that without P fertilizers (CK, NK), there was a soil P deficit of 75–640 kg ha^-1, and the lowest P deficit (mean of CK and NK) was in Eutric Cambisol. Soil Olsen-P decreased by 0.11–0.39 mg kg^-1 year^-1 in the order of Luvic Phaeozems > Eutric Cambisol > Calcaric Cambisol. Soil Olsen-P and the P deficit had a significantly (P<0.01) positive linear relationship. For every 100 kg of P ha^–1 of deficit, soil Olsen-P decreased by 0.44–9.19 mg kg^–1 in the order of Eutric Cambisol > Luvic Phaeozems > Calcaric Cambisol. Under the P fertilizer treatments (NPK, NPKS, and NPKM), soil Olsen-P showed an obvious surplus (except the NPK and NPKS in Luvic Phaeozems) of 122–2190 kg ha^-1, and the largest P surplus was found under the NPKM treatment at each site. The relation between soil Olsen-P and the experimental years could be simulated using quadratic equation of one unknown in Calcaric Cambisol for the lower P input after 14 years of fertilization. And soil Olsen-P increased by 1.30–7.69 mg kg^-1 year^-1 in the order of Luvic Phaeozems > Eutric Cambisol. The relation between soil Olsen-P and the P surplus could be simulated by a simple linear equation except under NPK and NPKS in Luvic Phaeozems. With 100 kg ha^-1 P surplus, soil Olsen-P increased by 3.24–7.27 mg kg^-1 in the order of Calcaric Cambisol (6.42 mg kg^-1) > Eutric Cambisol (3.24 mg kg^-1). In addition, the change in soil Olsen-P with a 100 kg P ha^-1 surplus (soil Olsen-P efficiency) was affected by the soil organic matter (SOM), pH, and CaCO₃ content, etc. In the practice of fertilization, it’s not necessary to increase the amount of P fertilizers, farmers should take measure to solve the local problem, for adjust the soil pH of Eutric Cambisol and Calcaric Cambisol, and apply more nitrogen in Luvic Phaeozems. In the area of serious soil P surplus, it is encouraged to stop applying P fertilizers for a few years to take advantage of soil accumulated P and make the high Olsen-P content decrease to a reasonable level.

Introduction

Phosphorus (P) is an essential element for plant growth. In an agricultural ecosystem, P fertilization is the most common practice for guaranteeing the crop yield [1, 2]. A large amount of residual P was accumulated in cultivated soils after long-term P overfertilization [3, 4, 5], and it was converted into less soluble and more stable forms, resulting in a low P use efficiency (PUE) (10–50%) [6, 7]. Excessive P fertilizers caused soil Olsen-P to rapidly increase and resulted in a risk of nonpoint source pollution [8, 9], but the crop yields were not improved by much [10]. Therefore, it is necessary to investigate the dynamic characteristics of soil Olsen-P to improve the PUE and reduce environmental pollution.

Many studies have focused on the soil Olsen-P response to different P fertilizer applications [11, 12, 13]. However, during long periods, the change in soil Olsen-P was primarily driven by the P budget due to many years of P removal from crop harvests and P fertilizer inputs [14, 15, 16]. Many long-term field experiments have established a significantly positive linear correlation between soil Olsen-P and the P budget, and with a 100 kg ha^-1 P surplus, soil Olsen-P increased by different rates in different soil types [4, 17, 18]. For black loess soils in Gansu, China, the Olsen-P concentration decreased by 3.18 mg kg^-1 (control) and 1.95 mg kg^-1 (nitrogen fertilizer only) per 100 kg ha^-1 of P deficit and increased by 0.29–3.85 mg kg^-1 per 100 kg ha^-1 of P accumulation when P (chemical P and manure) was added [19]. In black soil in Haerbin, China, the Olsen-P decreased by 3.35, 2.43 and 1.39 mg kg^-1 for the CK, N and NK treatments and increased by 4.8, 7.75 and 6.95 mg kg^-1 for the NP, NPK and NPKM treatments [18]. The variations in the soil Olsen-P response to the budget might be attributed to the different environments, crop systems, P inputs and soil properties, such as the soil organic matter and pH [4, 18]. Thus, understanding the variations and the possible factors affecting the relationship between the Olsen-P and the P budget is useful for predicting the Olsen-P dynamics and the optimal P fertilization of different soil types.

Luvic Phaeozems, Calcaric Cambisol, and Eutric Cambisol are the three soil types used in this study, and they arise from the northeastern, central and southern parts of China, where the primary agricultural regions are located. Five treatments were selected for this 22-year (1990–2012) long-term fertilization experiment. We addressed the effects of no P fertilizers and different P fertilizers on (1) the soil Olsen-P content; (2) the P budget; (3) the relationships between soil Olsen-P and the P budget; (4) the possible influence factors (soil organic matter, pH) to provide reasonable suggestions for the persistent and efficient utilization of P resources on the different soil types of China.

Materials and methods

Experimental sites

The three long-term experiment sites, which were established in 1990, are located in Gongzhuling (GZL), Jilin province, Northeast China; Zhengzhou (ZZ), Henan province, Central China; and Qiyang (QY), Hunan province, South China (Fig 1) [20]. The study period of the three sites is from 1990 to 2012. The soils at the three sites are classified as Luvic Phaeozems in GZL, Calcaric Cambisol in ZZ, and Eutric Cambisol in QY [FAO]. The description of the three sites and the initial physicochemical properties of the surficial soil (0–20 cm) in 1990 are summarized in Table 1 [20].

Table 1. Locations, climate conditions (shown as the mean for 1990–2012, as obtained from the China meteorological sharing service system (http://cdc.cma.gov.cn/)), and the initial surficial soil properties (1990) of the three sites.

Parameters	Gongzhuling	Zhengzhou	Qiyang
Altitude (m)	220	21	120
Latitude (N)	43°30′	34°47′	26°45′
Longitude (E)	124°48′	113°40′	111°52′
Mean annual precipitation (mm)	590.7	641	1426.4
Mean annual temperature (°C)	6.6	14.7	18.0
Cumulative effective temperature (>10°C)	2800	5169	5600
Cropping system	Single-cropping, maize	Double-cropping, maize/wheat	Double-cropping, maize/wheat
Soil texture	Clay loam	Light loam	Light loam
Bulk density (g cm^-3)	1.2	1.5	1.2
Clay content (<0.002 mm, %)	32.1	13.4	41.0
Soil pH (soil: water = 1:2.5)	7.6	8.3	5.7
Organic matter (g kg^-1)	22.8	11.6	13.6
Total P (g kg^-1)	0.6	0.6	0.5
Olsen P (mg kg^-1)	11.8	6.5	4.7
CaCO₃ (g kg^-1)	36.5	72.8	12.4
Fe₂O₃ (g kg^-1)	1.7	0.8	3.2
Al₂O₃ (g kg^-1)	1.4	0.6	2.1

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Experimental design

The cropping systems were mono-maize cropping at GZL (late April to late September), wheat-maize double-cropping at ZZ (mid-October to early June for wheat and mid-June to late September for maize) and QY(early November to early May for wheat and early April between wheat strips to July for maize). Five treatments (in a randomized plot) were selected in each site: (1) unfertilized control (CK); (2) nitrogen and potassium (NK); (3) nitrogen, phosphorous, and potassium (NPK); (4) nitrogen, phosphorous, potassium and straw (NPKS); (5) nitrogen, phosphorous, potassium and manure (NPKM). The plot area in GZL and QY was 200 m², and in ZZ was 45 m². There were no replications in the three sites. In order to analyze the spatial variation of soil and plant indicators, each individual treatment plot was divided into three subplots. Urea, superphosphate and potassium chloride were used as N, P, K fertilizers, respectively at the three sites. The straw was maize straw. The manure was pig manure in GZL and QY, and horse and cattle manure in ZZ. Chemical fertilizers were applied and ploughed into the soil one time before the plots were seeded with wheat and maize each year, and organic fertilizers (straw and manure) were applied prior to seeding plots with winter wheat each year in ZZ and QY. In GZL, the inorganic and organic fertilizers were applied annually before the seeding of maize. The average annual fertilizer application amounts are summarized in Table 2 [20].

Table 2. Rates of N, P, and K application in the forms of chemical fertilizer and manure at the three long-term fertilizer application sites.

Treatments^a	Gongzhuling		Zhengzhou		Qiyang
	inorganic^b N-P-K (kg ha^-1)	organic P (kg ha^-1)	inorganic N-P-K (kg ha^-1)	organic P (kg ha^-1)	inorganic N-P-K (kg ha^-1)	organic P (kg ha^-1)
CK	0-0-0	0	0-0-0	0	0-0-0	0
NK	165-0-68	0	353-0-146	0	300-0-100	0
NPK	165-36-68	0	353-62-146	0	300-53-100	0
NPKM^c	165-36-68	40.5	353-62-146	40	300-53-100	84
NPKS^d	165-36-68	5.3	353-62-146	9.3	300-53-100	2.8

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a CK: unfertilized control; NK: nitrogen and potassium; NPK: nitrogen, phosphorous, and potassium; NPKS: nitrogen, phosphorous, potassium and straw; and NPKM: nitrogen, phosphorous, potassium and manure (NPKM).

b Inorganic N fertilizer as urea, P as calcium triple superphosphate, and K as potassium sulfate. In ZZ, the P₂O₅ content of the calcium triple superphosphate decreased from 12.05% (1990–2003) to 8.0% (2004–2012).

c The manures were pig manure from 1990 at GZL (23.0 mg ha^-1 year^-1) and QY (42.0 mg ha^-1 year^-1), but horse manure was used from 1990 to 1998 and cattle manure was used from 1999 to 2012 at ZZ(12.9 mg ha^-1 year^-1). All the manure amounts were averaged as fresh weights from 1990 to 2012.

d The entire quantity of maize straw was incorporated into the soil at GZL (approximately 7.5 mg ha⁻¹) and ZZ (on average 6.0 mg ha⁻¹), whereas at QY, half of the maize and wheat straw (approximately 4.5 mg ha⁻¹) was applied.

Soil and plant sampling and chemical analyses

The initial soil samples, before treatment application, were collected randomly from the arable layer (0–20 cm) from each site in 1990, because the soil total P pool was mainly within this layer of the three sites [21]. The soil samples from each treatment (plot) were collected annually from 1990 to 2012 after maize harvesting but before fertilizer application to each site. Soils from three subplots were treated as replications. An auger (5 cm internal diameter) was used to collect the soil samples from each plot. Three soil cores were collected from each subplot and were combined to form each composite sample. Thus, there were three soil samples and 9 soil cores in each plot. Each soil sample was subsequently air-dried and sieved through 2.0 mm mesh screens to determine the available nutrients, and then through 0.25 mm mesh screens prior to the total nutrient analyses. Soil Olsen-P was determined using 0.5 mol L^–1 sodium bicarbonate extraction (pH 8.5) and measured via molybdenum blue colorimetry method. The soil organic matter was measured using the oil bath-potassium permanganate volume method. The soil pH was also measured (mass/volume ratio of 1:2.5). The grains and straws were harvested manually, air-dried, threshed, oven-dried at 65°C to a uniform moisture level, and then weighed. The P concentrations of the grain and straw were also measured using the molybdenum blue colorimetric method. The indices were analyzed in accordance with Lu [22].

Calculation and statistical analysis

The P budget (kg P ha^–1) was calculated as the ∑ [apparent P budget of crops in season].

The apparent soil P budget (kg P ha^–1) was calculated as the total amount of annual P fertilizers (kg P ha^–1)–the annual crop P uptake (grain + straw) (kg P ha^–1).

In the present study, the apparent P budget was equal to the crop uptake of P each year, which was the sum of the maize P uptake and wheat P uptake; the crop P uptake (kg ha^–1) was calculated as the (grain yield (kg ha^–1) × grain P content (%)) + (straw yield (kg ha^–1) × straw P content (%)).

A simple linear model was used to determine the relationships between soil Olsen-P and the experimental years, soil Olsen-P and the P budget, soil Olsen-P efficiency and organic matter, soil Olsen-P efficiency and pH; quadratic equation of one unknown was used to determine the relationships between soil Olsen-P and the experimental years in Calcaric Cambisolin in Excel 2013 (Microsoft Corp, Redmond, Washington, USA). The SPSS 20.0 (International Business Machines Corporation, Armonk, NewYork, USA) was used to do the data analysis by calculating the mean, the standard error of mean of crop yield, soil pH and SOM. Before doing the ANOVA significance levels in Table 3, descriptive statistics was used in SPSS to ensure the normal distribution of data.

Table 3. Soil Olsen-P, P budget, crop yeil and soil properties (pH and SOM) under the three soil types and five treatments.

ANOVA significance levels for the effects of soil type, fertilization, and soil type and fertilization interactions.

Treatments	P budget	Olsen-P	Maize yeild	Wheat yeild	SOM	pH
	kg ha^-1	mg kg^-1	t ha^-1	t ha^-1	g kg^-1
Eutric Cambisol
CK	-45.11(4.53)C	5.50(0.60)C	0.30(0.04)D	0.36(0.03)C	14.36(0.30)C	5.71(0.07)A
NK	-86.68(5.42)C	5.34(0.62)C	1.18(0.29)C	0.47(0.13)C	14.84(0.37)C	4.68(0.10)B
NPK	385.52(51.86)B	31.53(2.34)B	2.88(0.33)B	1.04(0.13)B	16.77(0.38)B	4.70(0.10)B
NPKS	359.80(49.73)B	35.05(2.29)B	3.44(0.34)B	1.14(0.12)B	16.75(0.44)B	4.73(0.10)B
NPKM	1156.06(137.24)A	85.31(11.22)A	4.93(0.19)A	1.73(0.09)A	21.24(0.86)A	5.91(0.07)A
Calcaric Cambisol
CK	-226.89(24.85)C	3.28(0.25)C	3.02(0.21)C	1.75(0.09)C	10.93(0.18)C	8.45(0.05)A
NK	-242.36(25.56)C	2.81(0.29)C	4.07(0.25)B	2.91(0.20)B	11.96(0.15)A	8.35(0.03)AB
NPK	186.02(17.31)B	17.52(1.77)B	6.82(0.39)A	6.53(0.22)A	12.30(0.29)A	8.35(0.03)AB
NPKS	224.63(20.41)B	18.45(1.72)B	7.43(0.36)A	6.42(0.21)A	14.51(0.34)A	8.33(0.04)B
NPKM	607.86(62.97)A	39.24(3.92)A	7.17(0.38)A	6.18(0.22)A	15.37(0.49)A	8.40(0.04)AB
Luvic Phaeozems
CK	-153.52(16.82)D	5.38(0.61)C	3.52(0.23)C	-	14.88(0.78)C	7.60(0.05)A
NK	-342.34(39.71)C	6.37(0.84)C	7.95(0.31)B	-	15.85(0.77)BC	6.70(0.12)C
NPK	7.79(1.99)B	19.34(2.22)BC	9.02(0.37)A	-	15.67(0.82)BC	6.58(0.12)C
NPKS	29.06(2.62)B	29.15(2.96)B	9.31(0.28)A	-	18.21(0.86)B	7.00(0.06)B
NPKM	348.76(36.52)A	77.56(14.14)A	9.16(0.39)A	-	25.70(1.33)A	7.51(0.03)A
ANOVA
Soil type	**	**	**	**	**	**
Fertilization	**	**	**	**	**	**
Soil type×Ferlization	ns	**	*	**	ns	**

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Results

Soil P budget

The P budget exhibited two types of trends in the soil P pool over time, which were a “deficit” and a “surplus” of soil P depending on the treatments (Fig 2). Under the treatments without P fertilizers (CK and NK), the soil P budget was negative and decreased over the experimental years. The P deficit ranged from -640 ~ -5 kg ha^-1 at the three sites and was ordered Luvic Phaeozems (-640 ~ -14 kg ha-1) < Calcaric Cambisol (-447 ~ -27 kg ha^-1) < Eutric Cambisol (-103 ~ -5 kg ha^-1). The P deficit was almost close in the treatments without P applications (CK and NK) in Eutric Cambisol and Calcaric Cambisol. However, the P deficit under NK (-640 ~ -28kg ha^-1) was significant (P<0.05) lower than that under CK (-290 ~ -14 kg ha^-1) in Luvic Phaeozems [Table 3].

Under the P fertilizer treatments (NPK, NPKS, and NPKM), the soil P showed a surplus of -12 ~ 2190 kg ha^-1 at the three site, and the P surplus under NPKM was significant (P<0.05) higher than that under NPK and NPKS in the three soil types [Table 3]. There was not much difference in the P surplus under NPK and NPKS in Eutric Cambisol and Calcaric Cambisol. In Calcaric Cambisol, after 14 years of cultivation, the soil P surplus decreased under NPK and NPKS and did not increase much under NPKM. In Luvic Phaeozems, the P surplus under NPKS was significantly higher than that under NPK (P< 0.05), the P surpluses under NPK and NPKS were relatively low, with ranges of -12~20 and 12~48 kg ha^-1 over the 22 years of cultivation.

Soil Olsen-P

Under the five treatments in each site, the order of soil Olsen-P content was NPKM > NPK and NPKS > CK and NK, and the difference of the three group was significant (P<0.05) (Table 3). The changes in soil Olsen-P were different under the various fertilization treatments (Fig 3). Under the treatments without P applications (CK and NK), soil Olsen-P exhibited a significantly (P<0.01) negative correlation with the experimental years in the three sites, and the slope of the equation indicated the rates of soil Olsen-P decreasing. The order of the decreasing soil Olsen-P was Luvic Phaeozems (0.37 mg kg^-1) > Eutric Cambisol (0.36 mg kg^-1) > Calcaric Cambisol (0.12 mg kg^-1) (average value over CK and NK).

Fig 3 — CK: unfertilized control; NK: nitrogen and potassium; NPK: nitrogen, phosphorous, and potassium; NPKS: nitrogen, phosphorous, potassium and straw; and NPKM: nitrogen, phosphorous, potassium and manure (NPKM).

Under different P fertilizer treatments (NPK, NPKS, and NPKM), the relation between soil Olsen-P and the experimental years could be simulated by simple linear models in Eutric Cambisol and Luvic Phaeozems. The order of the soil Olsen-P increase during the experimental years was Luvic Phaeozems (3.59 mg kg^-1) > Eutric Cambisol (3.18 mg kg^-1) (average value over the three treatments). In Calcaric Cambisol, the relation between soil Olsen-P and the experimental years could be simulated by quadratic equation of one unknown, while soil Olsen-P increased during the first 14 years and then decreased for the lower P input after 14-year fertilization.

Response of soil Olsen-P to the P budget

Soil Olsen-P was primarily affected by the P budget (Fig 4). Under the treatments without P fertilizers (CK and NK), the relationship between soil Olsen-P and the P deficit could be simulated by a simple linear model. Soil Olsen-P decreased by 0.44–9.19 mg kg^–1 for every 100 kg P ha^–1 of P deficit, and the order of the decrease rate in soil Olsen-P was Eutric Cambisol (8.06 mg kg^-1) > Luvic Phaeozems (1.97 mg kg^-1)> Calcaric Cambisol (0.47 mg kg^-1) for the three soil types. For the two treatments, the decreasing order of the soil Olsen-P rates was CK>NK in Eutric Cambisol and Luvic Phaeozems; there was no significant difference of CK and NK in Calcaric Cambisol.

Under the P fertilizer treatments (NPK, NPKS, and NPKM), soil Olsen-P was significantly positive linear related to the P surplus in Eutric Cambisol and Calcaric Cambisol. With 100 kg ha^-1 P surplus, soil Olsen-P increased in the order of NPKM (6.88 mg kg^-1) > NPKS (3.66 mg kg^-1) > NPK (3.24 mg kg^-1) in Eutric Cambisol, while the order was NPK (7.27 mg kg^-1)> NPKS (6.78 mg kg^-1) > NPKM (5.33 mg kg^-1) in Calcaric Cambisol. In Luvic Phaeozems, the relation between soil Olsen-P and the P surplus under NPK and NPKS was not obvious, and under NPKM, soil Olsen-P increased by 29.50 mg kg^-1 with 100 kg ha^-1 P surplus.

Crop yield

The crop yield data represented the average data for every 5 years from 1990–2012 (Fig 5). In the treatments without P fertilizers, the crop yield decreased over the experimental years. In Eutric Cambisol, crop yield was significantly lower than that in Calcaric Cambisol and Luvic Phaeozems under CK and NK (Table 3). And the crop yield was close to zero after 15 years of fertilization under CK and NK in Eutric Cambisol. The crop yield under NK was significantly higher (P<0.05) than that under CK in Calcaric Cambisol and Luvic Phaeozems (Table 3).

Under the treatments containing P fertilizers (NPK, NPKS, and NPKM), the crop yield was improved quite a bit at the three sites. In Eutric Cambisol, the crop yield under NPKM was significantly higher (P<0.05) than it was under NPK and NPKS (Table 3). In addition, the crop yield decreased after 10 years under the NPK and NPKS treatments; the crop yield would increase or remain within a stable level of 5000 kg ha^-1 under NPKM in Eutric Cambisol. In Calcaric Cambisol and Luvic Phaeozems, the crop yields under the three treatments containing P fertilizers were close. In addition, in a comparison of the crop yields under NK, the crop yields did not increase a lot by a substantial amount under treatments containing P fertilizers in Luvic Phaeozems.

Soil Organic Matter (SOM)

The soil SOM represents the average data for every 5 years from 1990–2012 (Fig 6). The soil SOM content was lowest in Calcaric Cambisol and highest in Luvic Phaeozems. Compared with the soil SOM content under treatments without P fertilizers (CK and NK) at each site, the soil SOM was higher under the treatments containing P fertilizers (NPK, NPKS, and NPKM), especially under the NPKM treatment. In Eutric Cambisol, the SOM was projected to increase during the first 15 years and then decrease after 15 years. However, the decrease was small. In Calcaric Cambisol, the SOM under CK, NK, and NPK fluctuated with the experimental years and increased under NPKS and NPKM. In Luvic Phaeozems, the SOM remained stable during the first 15 years and then increased after 15 years under all the treatments. The SOM content was significantly higher (P<0.05) under NPKM than it was under other P fertilizer treatments in Eutric Cambisol and Luvic Phaeozems (Table 3). At the three sites, the soil Olsen-P efficiency (the change in soil Olsen-P with a 100 kg ha^-1 P budget) was significantly (P < 0.01) and positively linearly related to the SOM (Fig 7).

pH

The soil pH represented the average data for every 5 years from 1990–2012 (Fig 8). The soil pH was lowest in Eutric Cambisol and highest in Calcaric Cambisol. The change in the soil pH was different at the three sites. In Eutric Cambisol and Luvic Phaeozems, the soil pH decreased under the NK, NPK, and NPKS treatments. However, the soil pH fluctuated around its initial value under the CK and NPKM treatments (Fig 8, Table 3). In Calcaric Cambisol, the soil pH showed the same tendency in the five treatments over a range of 8.13–8.58. The pH value would increase over the first 15 years, then decrease from 15 years to 20 years, and increase after 20 years. However, the change was small. At the three sites, the relation between the soil Olsen-P efficiency (the change in soil Olsen-P with the 100 kg ha^-1 P budget) and the soil pH was not obvious (Fig 9).

Discussion

Soil P budget and crop yield

Consistent with previously published studies, the P budget was calculated by taking the P input (P fertilizers) minus the P output (crop uptake). The P inputs from irrigation as well as dry and wet depositions and the P output from the P loss were neglected, as in other studies [4, 18]. The P budget is an important factor for evaluating the P management in agroecosystems, and it affects the soil P changes over time [23, 24]. At a global scale, P deficits cover 30% while P surplus covers 70% of the total cropland [3]. Long-term fertilization experiments could provide information about how the accumulated P is changing over different soil types, cropping systems and fertilization treatments.

Lack of fertilizers caused the decrease of soil fertility, for example in some parts of Tibet and Inner Mongolia, crop yields were below the national average in China [25]. Under the treatments without P fertilizers (CK and NK) in our study, the crop yield decreased over the experimental years and the soil P showed a deficit for the lack of P. Soil pH decreased to 4.0–4.5 after 10 cropping years under CK and NK, and this caused yield reduction of (38.7–93.9%, P <0.05) compared to NPK, NPKS and NPKM treatments. The addition of nitrogen caused soil acidification and it was so serious that caused a decrease of crop production, and almost eliminated yield from 2006 to 2012 under NK. Thus, the P deficit in QY was the lowest among the three sites. Lime could be applied to improve soil pH. In Luvic Phaeozems, the high initial soil Olsen-P (11.5 mg kg^-1) was very close to the critical P value (CPV) of maize (12.1–14.3 mg kg^-1) in this place [26], which could provide the crops with enough available P. Thus, the maize yield was very high in Luvic Phaeozems among the three sites. Compared to the crop yield under NK, crop yield under CK was much lower in Luvic Phaeozems, so it was thought that the lack of nitrogen was the limiting factor for crop growth in Luvic Phaeozems. When the amount of P fertilizers was higher than crop uptake, soil P showed a surplus. Although the amount of phosphorus fertilizer (P₂O₅) input per unit area for food crops in China has reached to 71 kg ha^-1, higher than that in many developed countries [27]. However, at least 70%-90% of the phosphorus applied to the soil was fixed in combination with Fe, Al and Ca [28]. In our study, after long-term P fertilization (NPK, NPKS, and NPKM), the soil P showed an obvious surplus in the three sites, except under the NPK and NPKS treatments in Luvic Phaeozems. The seasonal utilization rate of phosphate fertilizer in China was only 10–25% [29]. Soil P surplus was increasing by an annual growth rate of 11%. Withholding P applications, it may be feasible that accumulated soil P will build up soil P reserves for crop growth [30]. Thus, taking advantage of soil accumulated P not only can reuse and save P resource, but also can reduce the risk of environmental pollution.

Crop yield was influenced by the amount and kind of P fertilizers. In Eutric Cambisol, crop yield under NPKM was obviously higher than that under NPK and NPKS, for the input of manure alleviated soil acidification. Soil pH under NPKM was almost the same with that under CK. But P surplus was very large under NPKM in Eutric Cambisol. In Calcaric Cambisol, although P surplus under NPKM was much higher than that under NPK and NPKS, crop yields under the three treatments were almost the same. So, it was thought P acculated in Calcaric Cambisol was hard to be transformed into available P for high CaCO₃ content [Table 1]. In Luvic Phaeozems, soil surpluses were very low, almost to zero, but crop yields under the NPK and NPKS were almost the same with that under NPKM (NPK 8990 kg ha^-1; NPKS 9199 kg ha^-1; NPKM 9101 kg ha^-1). Low P input with high crop yield indicated that P use efficiency was very high under NPK and NPKS in Luvic Phaeozems.

Soil Olsen-P and its relationship to the P deficit

Without P fertilizer (CK and NK), the soil Olsen-P content significantly decreased (P < 0.01) at the three sites. In other studies, the speed of the soil Olsen-P decreasing was decided by the initial soil Olsen-P content, and the rate of the soil Olsen-P decrease had a positive relationship to the initial Olsen-P content [31, 32]. However, in our study, the order of the decreasing soil Olsen-P rate (from the mean of the two treatments) at the three sites was Luvic Phaeozems (0.37 mg kg^-1) > Eutric Cambisol (0.36 mg kg^-1) > Calcaric Cambisol (0.12 mg kg^-1), which was slightly different from the order of the initial soil Olsen-P (Luvic Phaeozems > Calcaric Cambisol > Eutric Cambisol). The result might be related to the amount of precipitation for Al-P, Fe-P and O-P at the soil surface was easily lost with rainfall (surface runoff) in Hunan province, especially for upland red soil [33]. The precipitation in Eutric Cambisol was two times that of Calcaric Cambisol (Table 1), so soil P loss with rainfall in Eutric Cambisol could be higher than that in Calcaric Cambisol. The speed of soil Olsen-P decreasing under NK was faster than the under CK in the three sites, for crop yield under NK was higher than that under CK. And crop took more P from soil under NK for the addition of N and K could also promote the growth of crop in the lack of P fertilizer.

Under treatments without P fertilizers, the relationship between soil Olsen-P and the P deficit could be simulated by simple linear model. With a 100 kg ha^-1 P deficit, the order of the decrease in soil Olsen-P was Eutric Cambisol (8.56 mg kg^-1) > Luvic Phaeozems (1.97 mg kg^-1)> Calcaric Cambisol (0.47 mg kg^-1). This order represents the ability of original P in the soil to convert into available P (Olsen-P), which might be affected by soil properties. The relatively lower soil pH in Eutric Cambisol could promote the dissolution of soil original P, so the rate of the soil Olsen-P decrease was largest among the three sites with the same P deficit. Compared with Calcaric Cambisol, the organic matter in Luvic Phaeozems was higher, which could promote the transformation of soil organic and inorganic P into Olsen-P [20]. Therefore, the decrease in the Olsen-P in Luvic Phaeozems was higher than that in Calcaric Cambisol under treatments without P fertilizers. Additionally, in the treatment without P fertilizers, soil P mineralization is an important pathway for replenishing the soil available P. Higher soil organic matter generally resulted in greater microbial biomass and activity, which could promote soil P mineralization [34].

Soil Olsen-P and its relationship to the P surplus

When P fertilizers were applied (NPK, NPKS and NPKM), the soil Olsen-P content increased over the experimental years, especially in the NPKM treatment. Similar results have been reported in other articles [18, 35, 36]. In Calcaric Cambisol and Luvic Phaeozems, soil Olsen-P was positively linearly related to the experimental years, and the order of soil Olsen-P increasing was NPKM > NPKS > NPK in the two sites respectively. The result indicated that the combination of manure could improve the increase in soil Olsen-P with the 100 kg P ha^-1 surplus. However, soil Olsen-P in Calcaric Cambisol had a quadratic correlation at the 22st experimental year for the lower P input after 14 years of fertilization. The relationship between soil Olsen-P and the P surplus could be simulated by a simple linear model under all the treatments of P fertilizers at the three sites except the NPK and NPKS in Luvic Phaeozems. And the change of soil Olsen-P represented the ability of soil accumulated P transforming into Olsen-P. In Eutric Cambisol, with the same soil P surplus, soil Olsen-P increased as the order of NPKM > NPKS > NPK, which was consistent with the content of SOM order in Eutric Cambisol shown in Fig 6. A significant positive correlation (P<0.01) was also observed between the SOM and the increase in soil Olsen-P with the 100 kg P ha^-1 surplus (Fig 7). SOM is an important factor for improving the soil P availability. Because substances such as organic acid, organic anions, and humic acid would be released during the decomposition of SOM, which competed with phosphates for adsorption sites on the surfaces of soil colloids through processes such as competitive adsorption and chelation [37, 38, 39]. The P fertilizers adsorbed by minerals could be decreased [40]. The content of SOM could also explain the order of soil Olsen-P increasing as Luvic Phaeozems > Eutric Cambisol > Calcaric Cambisol under NPKM with the same P surplus. The soil P availability was relatively high in the pH range from 6.0–7.5. The addition of manures could adjust the pH of the soil in Eutric Cambisol with a range of 5.5–6.0 [41, 42], so the increase of soil Olsen-P with same P surplus under NPKM was much higher than that under NPK and NPKS.

In Calcaric Cambisol, with the same soil P surplus, the order of soil Olsen-P increasing was NPK > NPKS > NPKM, but the value did not vary a lot. Although P surplus under NPKM was significantly higher than that of NPK and NPKS in Calcaric Cambisol, soil Olsen-P did not improve a lot for high pH. Soil pH value of the three treatments in Calcaric Cambisol was in the range of 8.25–8.50, much higher than the high P availability range of 6.0–7.5. In alkaline calcareous soils with high pH values, the inorganic phosphates (primarily as HPO₄^2-) in the soil solutions combine with Ca to form a series of Ca-P compounds [43, 44]. In Calcaric Cambisol of our study, Ca₁₀-P and O-P which were hard to decompose might be the main compounds of soil P. Soil containing large quantities of clay fix more P than soil with low clay contents [45, 46], the soil clay content was strongly related to increasing the Olsen-P across seven long-term experimental sites in China, except for the Huan site [4]. But in Calcaric Cambisol, the content of clay was low, so the adsorption of P might be low, precipitation could be a main way for P fixing in the soil of Calcaric Cambisol.

Under the NPK and NPKS treatments in Luvic Phaeozems, the P surplus was relatively low, but soil Olsen-P also increased. The result was the same as Zhan’s [18]. The soil total P in the NPK and NPKS treatments increased to some extent (NPK: 5% and NPKS: 18%) over the 21-year experiment, which verified the result of the P budget in the two treatments. The result could be explained by the transformation of organic P (Po) into inorganic P (Pi) fractions, and the high SOM content could promote this process [33]. Under NPK and NPKS, the Po decreased by 50% and 56%, respectively, and the Pi increased by 34% and 57%, respectively [20], during the 21-year experiment. In addition, a high clay content might be another reason for the significant increase in soil Olsen-P with the low P surplus under NPK and NPKS in Luvic Phaeozems. So, in our study, the relationship between soil Olsen-P and P budget was decided by many reasons, such as the amount of P fertilizers, the kinds of fertilizers, soil properties (SOM, pH, clay content), and climate [47]. In the practice of fertilization, it’s not necessary to increase the amount of P fertilizers, farmers should take measure to solve the local problem, for adjust the soil pH of Eutric Cambisol and Calcaric Cambisol. And in the area of a lot soil P surplus, it is encouraged to stop fertilization for a few years to take advantage of accumulated P and make the high Olsen-P content decrease to a reasonable level.

Conclusions

Crop yield was not consistent with P budget and soil Olsen-P in the three sites for the low soil pH value in Eutric Cambisol, and high content of soil initial Olsen-P and SOM in Luvic Phaeozems. In each site, crop yield under treatments with P fertilizers was significantly higher than that under treatments without P fertilizers. In Eutric Cambisol, crop yield under NPKM was significantly higher than that under NPK and NPKS. But in Luvic Phaeozems and Calcaric Cambisol, crop yield under NPK, NPKS, and NPKM was close, which caused by higher content of CaCO₃ in Calcaric Cambisol, and high soil initial Olsen-P and SOM in Luvic Phaeozems.
Under treatments without P fertilizers, soil Olsen-P and the P deficit had a significantly positive relationship. With every 100 kg P ha^–1 of deficit, the order of the soil Olsen-P decrease was Eutric Cambisol (8.56 mg kg^-1) > Luvic Phaeozems (1.97 mg kg^-1)> Calcaric Cambisol (0.47 mg kg^-1). The order represents the ability of original P in the soil to convert into available P (Olsen-P), which could be affected by pH and SOM.
Under treatments with P fertilizers, the relation between soil Olsen-P and the P surplus could be simulated by a simple linear equation except under NPK and NPKS in Luvic Phaeozems. With 100 kg ha^-1 in P surplus, soil Olsen-P increased by 3.24–7.27 mg kg^-1 in the order Calcaric Cambisol (6.42 mg kg^-1) > Eutric Cambisol (3.24 mg kg^-1). Under the NPK and NPKS treatments in Luvic Phaeozems, the P surplus was relatively low, but soil Olsen-P also increased. The result could be explained by that the high SOM content promoted the transformation of organic P (Po) into inorganic P (Pi) fractions.
In the practice of fertilization, it is reasonable to apply the kind and the amount fertilizers according to the local soil need. For example in Luvic Phaeozems, the initial soil Olsen-P was close to the CPV of crop, phosphorus was not serious needed in this place, and soil nitrogen was more needed, so crop yield under different P fertilizers (NPK, NPKS, and NPKM) was not significantly different.

Supporting information

S1 Data

(XLSX)

Click here for additional data file.^{(260.2KB, xlsx)}

Acknowledgments

We acknowledge all staff associated with these three long-term Monitoring Network of Soil Fertility and Fertilizer Effects at Qiyang, Zhengzhou and Gongzhuling for their valuable work.

Data Availability

All relevant data are within the paper and its Supporting Information files.

Funding Statement

The National Key Research and Development Program of China (2016YFD0300803); The National Natural Science Foundation of China (41471249); The Special Fund for Agro-scientific Research in the Public Interest of China (201503120). The funder was the corresponding author, who was responsible for data collection, decision to publish and correct the manuscript.

References

1.Tilman D, Cassman KG, Matson PA, Naylor R, Polasky S. Agricultural sustainability and intensive production practices. Nature. 2002; 418: 671–677. 10.1038/nature01014 [DOI] [PubMed] [Google Scholar]
2.Grant C, Bittman S, Montreal M, Plenchette C, Morel C. Soil and fertilizer phosphorus: effects on plant P supply and mycorrhizal development. Can. J. Plant. Sci. 2005; 85: 3–14. [Google Scholar]
3.MacDonald GK, Bennett EM, Potter PA, Ramankutty N. Agronomic phosphorus imbalances across the world’s croplands. Proc. Natl. Acad. Sci. 2011; 108: 3086–3091. 10.1073/pnas.1010808108 [DOI] [PMC free article] [PubMed] [Google Scholar]
4.Cao N, Chen X, Cui Z, Zhang F. Change in soil available phosphorus in relation to the phosphorus budget in China. Nutr. Cycling Agroecosyst. 2012; 94: 161–170. [Google Scholar]
5.Medinski T, Freese D, Reitz T. Changes in soil phosphorus balance and phosphorus-use efficiency under long-term fertilization conducted on agriculturally used Chernozem in Germany. Can. J. Soil. Sci. 2018; 98: 650–662. [Google Scholar]
6.Zhang FS, Wang JQ, Zhang WF, Cui ZL, Ma WQ, Chen XP, et al. Nutrient use efficiencies of major cereal crops in China and measures for improvement. Acta Pedologica Sinica. 2008; 45: 915–924. (in Chinese) [Google Scholar]
7.Weaver DM, Wong MTF. Scope to improve phosphorus (P) management and balance efficiency of crop and pasture soils with contrasting P status and buffering indices. Plant Soil. 2011; 349: 37–54. [Google Scholar]
8.Evanylo G, Sherony C, Spargo J, Starner D, Brosius M, Haering K. Soil and water environmental effects of fertilizer-, manure-, and compost-based fertility practices in an organic vegetable cropping system. Agr. Ecosyst. Environ. 2008; 127: 50–58. [Google Scholar]
9.Fischer P, Pothig R, Venohr M. The degree of phosphorus saturation of agricultural soils in Germany: Current and future risk of diffuse P loss and implications for soil P management in Europe. Sci. Total. Environ. 2017; 599–600, 1130–1139. 10.1016/j.scitotenv.2017.03.143 [DOI] [PubMed] [Google Scholar]
10.Xu MG, Zhang WJ, Huang SM. Fertility evolution of China's soil. Beijing: China's agricultural science and technology press. 2015. (in Chinese) [Google Scholar]
11.Tian JH, Boitt G, Black A, Wakelin S, Condron LM, Chen LJ. Accumulation and distribution of phosphorus in the soil profile under fertilized grazed pasture. Agr. Ecosyst. Environ. 2017; 239: 228–235. [Google Scholar]
12.Khan A, Lu GY, Ayaz M, Zhang HT, Wang RJ, Lv FL, et al. Phosphorus efficiency, soil phosphorus dynamics and critical phosphorus level under long-term fertilization for single and double cropping systems. Agr. Ecosyst. Environ. 2018; 256: 1–11. [Google Scholar]
13.Zicker T, von Tucher S, Kavka M, Eichler-Lobermann B. Soil test phosphorus as affected by phosphorus budgets in two long-term field experiments in Germany. Field. Crop. Res. 2018; 218: 158–170. [Google Scholar]
14.Tang X, Li J, Ma Y, Hao X, Li X. Phosphorus efficiency in long-term (15 years) wheat-maize cropping systems with various soil and climate conditions. Field. Crop. Res. 2008; 108, 231–237. [Google Scholar]
15.Messiga AJ, Ziadi N, Plénet D, Parent LE, Morel C. Long-term changes in soil phosphorus status related to P budgets under maize monoculture and mineral P fertilization. Soil. Use. Manage. 2010; 26: 354–364. [Google Scholar]
16.Diaz I, Torrent J. Changes in Olsen P in Relation to P Balance in Contrasting Agricultural Soils. Pedosphere. 2016; 26: 636–642. [Google Scholar]
17.Johnston AE. Soil and plant phosphate Paris: International Fertilizer Industry Association Press, 2000; 27–29. [Google Scholar]
18.Zhana XY, Zhang L, Zhou BK, Zhu P, Zhang SX, Xu MG. Changes in Olsen Phosphorus Concentration and Its Response to Phosphorus Balance in Black Soils under Different Long-Term Fertilization Patterns. PLoS ONE, 2015; 10(7), e0131713 10.1371/journal.pone.0131713 [DOI] [PMC free article] [PubMed] [Google Scholar]
19.Pei RN, Yang SM, Xu MG, Fan TL, Zhang HM. Response of Olsen-P to P balance in Black Loessial soil under long-term fertilization. Scientia Agricultura Sinica. 2010; 43: 4008–4015. (in Chinese) [Google Scholar]
20.Wu QH, Zhang SX, Zhu P, Huang SM, Wang BR, Zhao LP, et al. Characterizing differences in the phosphorus activation coefficient of three typical cropland soils and the influencing factors under long-term fertilization. PLoS ONE. 2017; 12(5): e0176437 10.1371/journal.pone.0176437 [DOI] [PMC free article] [PubMed] [Google Scholar]
21.Wang T, Yang YH, Ma WH. Storage, Patterns and Environmental Controls of Soil Phosphorus in China. Acta Scientiarum Naturalium Universitatis Pekinensis. 2008; 44: 945–952. [Google Scholar]
22.Lu RK. Methods of Agricultural Chemical Analysis of Soil. China Agricultural Science and Technology Press, China: 2000. (in Chinese) [Google Scholar]
23.Nagumo T, Tajima S, Chikushi S, Yamashita A. Phosphorus balance and soil phosphorus status in paddy rice fields with various fertilizer practices. Plant Prod. Sci. 2013; 16: 69–76. [Google Scholar]
24.Sun BH, Cui QH, Guo Y, Yang XY, Zhang SL, Gao MX, et al. Soil phosphorus and relationship to phosphorus balance under long-term fertilization. Plant Soil Environ. 2018; 64: 214–220. [Google Scholar]
25.Zeng XB, Chen TB, Hu QX, Lin ZH. Grain productivity and its potential as related to fertilizer consumption among different counties of China. Acta Geographica Sinica. 2002; 57: 539–546. [Google Scholar]
26.Wu QH, Zhang SX, Feng G, Zhu P, Huang SM, Wang BR, et al. Determining the optimum range of soil Olsen-P for high phosphorus efficiency, crop yield and soil fertility in three typical cropland soils. Accepted by Pedosphere. 2019. [Google Scholar]
27.Zhang WL, Wu SX, Ji HJ, Kolbe H. Estimation of agricultural non-point source pollution in China and the alleviating strategies. Scientia Agricultura Sinica. 2004; 37: 1008–1017. [Google Scholar]
28.Holford I C R. Soil phosphorus: its measurement, and its uptake by plants. Soil Research. 1999; 35: 227–239. [Google Scholar]
29.Zhang SF, Wang JQ, Zhang WF. The relationship between fertilizer input level and nutrient use efficiency. Acta Pedologica Sincica. 2008; 45: 915–924. [Google Scholar]
30.Rowe H, Withers PJA, Baas P, Chan NI, Doody D, Holiman J, et al. Integrating legacy soil phosphorus into sustainable nutrient management strategies for future food, bioenergy and water security. Nutr. Cycl. Agroecosyst. 2016; 104: 393–412. [Google Scholar]
31.Qua JF, Li JM, Xu MG, Dai JJ. Total-P and Olsen-P dynamics of long-term experiment without fertilization. Plant Nutrition and Fertilizer Science. 2008; 14: 90–98. (in Chinese) [Google Scholar]
32.Qub JF, Li JM, Xu MG, Dai JJ. Phosphorus changes of several typical soils under long-term single nitrogen and potassium fertilization. Ecology and Environment. 2008; 17: 2068–2073. (in Chinese) [Google Scholar]
33.Qiu YQ, Gan GJ, Liu W, Liu Y, Hou HB, Li YY, et al. The study of distribution characteristics of phosphorus of typical soils in Hunan and its loss risk. Chinese Agricultural Science Bulletin. 2012; 28: 223–227. (in Chinese) [Google Scholar]
34.Wang X, Nicolas A, Jelinski BT, Kyungsoo Y. Long- term agricultural management and erosion change soil organic matter chemistry and association with minerals. Science of the total environment. 2019; 648: 1500–1510. 10.1016/j.scitotenv.2018.08.110 [DOI] [PubMed] [Google Scholar]
35.Zhanb XY, Ren Y, Zhang SX, Kang RF. Changes in Olsen Phosphorus Concentration and Its Response to Phosphorus Balance in the Main Types of Soil in China. Scientia Agricultura Sinica. 2015; 23: 4728–4737. (in Chinese) [Google Scholar]
36.Li Y, Liu Y L, Zhang YR, Shen Y, Zhang WA, Jiang TM. Response of Olsen-P to P balance in yellow soil upland of southwestern China under long-term fertilization. Chinese Journal of Applied Ecology. 2016; 07: 2321–2328. (in Chinese) [DOI] [PubMed] [Google Scholar]
37.Dou ZX, Ramberg CF, Toth JD, Wang Y, Sharpley AN, Boyd SE, et al. Phosphorus speciation and sorption-desorption characteristics in heavily manured soils. Soil. Sci. Soc. AM. J. 2009; 73: 93–101. [Google Scholar]
38.Du ZY, Wang QH, Liu FC, Ma HL, Ma BY, Malhi SS. Movement of phosphorus in a calcareous soil as affected by humic acid. Pedosphere. 2013; 23: 229–235. [Google Scholar]
39.Ding XD, Wei CB, Wang XY, Li SY. Phosphorus leaching risk assessment with manure fertilizer application in south China. B. Environ. Contam. T. 2014; 93: 120–125. [DOI] [PubMed] [Google Scholar]
40.Kang J, Hesterberg D, Osmond DL. Soil organic matter effects on phosphorus sorption: a path analysis. Soil. Sci. Soc. AM. J. 2009; 73: 360–366. [Google Scholar]
41.Whalen JK, Chang C, Clayton GW, Carefoot JP. Cattle manure amendments can increase the pH of acid soils. Soil. Sci. Soc. AM. J. 2000; 64: 962–966. [Google Scholar]
42.Gao HJ, Peng C, Zhang XZ, Li Q, Zhu P. Effects of long-term fertilization on maize yield, active organic matter and pH value of Black soil. Journal of maize sciences. 2014; 22: 126–131.(in Chinese) [Google Scholar]
43.Bertrand I, Hinsinger P, Jaillard B, Arvieu JC. Dynamics of phosphorus in the rhizosphere of maize and rape grown on synthetic, phosphated calcite and goethite. Plant and Soil. 1999; 211:111–119. [Google Scholar]
44.Stanko M, Jordana N, Tijana Z, Dragana L, Srđan Š, Vesna R, et al. Soil fertility and phosphorus fractions in a calcareous chernozem after a long-term field experiment, Geoderma. 2019; 339: 9–19. [Google Scholar]
45.Pierzynski GM, Mc Dowell RW, Sims JT. Chemistry, cycling, and potential moment of inorganic phosphorus in soils In: Sims J T, Sharpley A N, eds., Phosphorus: Agriculture and the Environment. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, Madison: 2005; 53–86. [Google Scholar]
46.Arai Y, Sparks DL. Phosphate reaction dynamics in soils and soil minerals: A multiscale approach. Adv. Agron. 2007; 94: 135–179. [Google Scholar]
47.Roberts T L, Johnston A E. Phosphorus use efficiency and management in agriculture. Resources, Conservation and Recycling. 2015; 105; 275–281. [Google Scholar]

PLoS One. 2020 Mar 18;15(3):e0230178. doi: 10.1371/journal.pone.0230178.r001

Author response to previous submission

5 Dec 2019

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PLoS One. doi: 10.1371/journal.pone.0230178.r002

Decision Letter 0

Vassilis G Aschonitis

2 Jan 2020

PONE-D-19-33392

The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

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Reviewer #1: It is an interesting article, which I strongly recommend to be revised and submitted again, as it includes data for many years from crop yield, phosphorus fertilization and phosphorus budget. However, there are some comments I would like to make: The statistical analysis has not been performed appropriately. I would recommend that the authors conduct a Repeated measures ANOVA with three factors for Maize: Soil type (Eutric Cambisol, Calcaric Cambisol and Luvic Phaesoms), P budget and time (year as time factor) to claim the effect of long-term (time) phosphorus fertilization (phosphorus budget) over different soil types (Soil type). You can then present the results in different graphs (as you have already presented them) but put the error bars that result from the Repeated measures analysis. In the text you must explain if there are any interactions and provide the p value of the analysis. You will then conduct the same analysis for wheat only for Qiyang and Zhengzhou regions.

There are also some comments below showing some examples of revisions that have to be made both for statistics and English (the language is not very clear at some points):

Line 106: “In order to analyses in spatial variation” should be written as follows:

In order to analyze the spatial variation …

Line 117: “Soil samples from the arable layer (0–20 cm) were collected randomly from each site” should be written as follows:

The initial soil samples, before treatment application, were collected randomly from the arable layer (0-20 cm) from each site in 1990.

Line 164: Conduct a Repeated measures ANOVA (with year as time factor) in order to claim P budget was lower in Luvic Phaeozems compared to Eutric Cambisol. LSD and t-student test are not enough when you have repeated measures.

Line 259: Conduct a Repeated measures ANOVA with three factors for Maize: Soil type (Eutric Cambisol, Calcaric Cambisol and Luvic Phaesoms), P budget and time (year as time factor) to claim the effect of long-term (time) phosphorus fertilization (phosphorus budget) over different soil types (Soil type). You can then present the results in different graphs (as you have already presented them) but put the error bars that result from the Repeated measures analysis. In the text you must explain if there are any interactions and provide the p value of the analysis. You will then conduct the same analysis for wheat only for Qiyang and Zhengzhou regions.

Line 266: Rephrasing: “The variation of crop yield was affected by soil pH obviously in Eutric…” should be written as follows: Soil pH decreased to 4.0-4.5 after 10 cropping years under CK and NK, and this caused yield reduction of (provide percentage and p value) compared to NPK, NPKS and NPKM treatments.

Line 268: Rephrasing: “Soil acidification was so serious to cause a decrease of crop production, even no…” should be written as follows:

Soil acidification was so serious that caused a decrease of crop production, and almost eliminated yield from 2006 to 2012 under NK.

Line 247: Compare to instead of "Compared with"

Line 276: When the amount of P fertilizers was higher than crop uptake instead of "was higher the crop uptake".

Line 286: Thus, taking advantage instead of "Thus, taking advantaging"

Figure 2: I would recommend replacing the title of the graphs with Eutric Cambisol, Calcaric Cambisol and Luvic Phaesoms instead of Qiyang, Zhengzhou and Gongzhuling.

Figure 2: You need to provide error bars for the various treatments for each of the experimental years. You also need to conduct a repeated measures ANOVA (with year as the time factor) in order to claim the difference between the treatments.

Figure 6 and Figure 8: ** represents P<0.01. You need to remove this, because there are not error bars on the graph.

Reviewer #2: Comments:

The key finding of this manuscript is the response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization. Research reported in this manuscript fits well with the general scope of the journal. The results from three relatively long period of experiments seems valuable for understanding the mechanism of the variation of soil Olsen-P affected by different fertilization practices. However, only the P in the 0-20 cm soil is considered in the P budget in this research. The reason should be provided in the revised manuscript. Besides, there are several mistakes in the current version of the manuscript. Hence, I truly believe that a major revision is needed before the manuscript is reconsidered for the publication in this journal.

Specific comments:

L28: ‘g kg-1’? Please check.

L35: ‘g kg-1’? Please check.

L36: why were only two types of soils compared?

L40: the soil Olsen-P increased by 3.24-7.24 mg kg-1. However, the value of ‘7.24’ was not found in the following sentence.

L100: the sentence is incomplete. Please rewrite it.

L138: what is the applied soil P?

L139: the P from the fertilizer was not calculated in the formula?

L145: Not all the experiments have three replications (L105).

L151 Why and how was the data were normalized? It is not clear.

L186: replace ‘mean value of the three treatments’ as ‘average value over the three treatments’

L267:replace ‘，’ as ‘,’

L267: Is the soil acidification correlated to the fertilizer application practices? What is the reason for the serious soil acidification?

L277: the sentence ‘When the amount of P fertilizers was higher the crop uptake…’ is misleading. Please rewrite it.

L278: 71 kg of phosphorus fertilizer? Or the P2O5. Please recheck. The number seems too low.

L394-408: the conclusion is too similar to the result of the experiments. It's hard to see the academic value of research in the current version. Please rewrite it.

**********

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Reviewer #1: Yes: Miltiadis Iatrou

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PLoS One. 2020 Mar 18;15(3):e0230178. doi: 10.1371/journal.pone.0230178.r003

Author response to Decision Letter 0

6 Feb 2020

Dear reviewers,

Thank you very much for your comments of our manuscript entitled “The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization”. Those comments are very valuable for revising and improving our paper. About the English grammar and writing, I have the manuscript polished by AJE and a teacher from England in CAAS help me. The manuscript is revised submission with new line and page numbers in the text, some grammar and spelling errors had also been corrected. Based on your suggestion, we made correction carefully. The responds to the comments are as follows:

According to Reviewer #1:

1. The statistical analysis has not been performed appropriately. I would recommend that the authors conduct a Repeated measures ANOVA with three factors for Maize: Soil type (Eutric Cambisol, Calcaric Cambisol and Luvic Phaesoms), P budget and time (year as time factor) to claim the effect of long-term (time) phosphorus fertilization (phosphorus budget) over different soil types (Soil type). You can then present the results in different graphs (as you have already presented them) but put the error bars that result from the Repeated measures analysis. In the text you must explain if there are any interactions and provide the p value of the analysis. You will then conduct the same analysis for wheat only for Qiyang and Zhengzhou regions.

Answer: Thank you for your helpful suggestion, about the repeat measure. There was no replication of P budget, soil Olsen-P, crop yield, SOM and pH of each year in the three sites. We only have one data of the indicators before in the long-term experiment, which I have corrected in the manuscript. We have done the ANOVA analysis for the effects of soil type, fertilization, and soil type and fertilization interactions in Table 3, the data of each year was repitation. And we have added the error bars in the Fig 5,6,8 for the average value of 5 years of crop yield, SOM, and pH.

2. There are also some comments below showing some examples of revisions that have to be made both for statistics and English (the language is not very clear at some points):

1) Line 106: “In order to analyses in spatial variation” has been written as follows:

Line 111: In order to analyze the spatial variation …

2) Line 117: “Soil samples from the arable layer (0–20 cm) were collected randomly from each site” has been written as follows:

Line 139: The initial soil samples, before treatment application, were collected randomly from the arable layer (0-20 cm) from each site in 1990.

3) Line 266: Rephrasing: “The variation of crop yield was affected by soil pH obviously in Eutric…”has been written as follows:

Line 340: Soil pH decreased to 4.0-4.5 after 10 cropping years under CK and NK, and this caused yield reduction of (38.7 - 93.9%, P <0.05) compared to NPK, NPKS and NPKM treatments.

4) Line 268: Rephrasing: “Soil acidification was so serious to cause a decrease of crop production, even no…” has been written as follows:

Line 342: Soil acidification was so serious that caused a decrease of crop production, and almost eliminated yield from 2006 to 2012 under NK.

5) Line 247: Compare with has been changed into Line 348"Compared to"

6) Line 351: When the amount of P fertilizers was higher than crop uptake instead of "was higher the crop uptake".

7) Line 361: Thus, taking advantage instead of "Thus, taking advantaging"

8) The titles of the Fig2,3,4,5,6,8 have been replaced by Eutric Cambisol, Calcaric Cambisol and Luvic Phaesoms (instead of Qiyang, Zhengzhou and Gongzhuling).

9) Figure 6 and Figure 8: ** represents P<0.01 has been removed.

Reviewer #2:

1. Only the P in the 0-20 cm soil is considered in the P budget in this research. The reason should be provided in the revised manuscript.

Answer: In the article “Storage, Patterns and Environmental Controls of Soil Phosphorus in China”, because the soil total P pool was mainly within this layer of the three sites.

2. There are several mistakes in the current version of the manuscript.

Specific comments:

1) L28 and L35: g kg-1 has been changed into “mg kg-1”

2) L36: why were only two types of soils compared?

Answer: Because the relation between soil Olsen-P and the experimental years could be simulated using quadratic equation of one unknown in Calcaric Cambisol for the lower P input after 14 years of fertilization.

3) L41: the soil Olsen-P increased by 3.24-7.24 mg kg-1. However, the value of ‘7.24’ was not found in the following sentence.

Answer: 7.24 has been changed into 7.27

4) L103: the sentence is incomplete. Please rewrite it.???

Answer: The sentence before: The cropping systems were different at the three sites, with mono-maize cropping at GZL (late April to late September) and, wheat-maize double-cropping at ZZ (mid-October to early June for wheat and mid-June to late September for maize) and QY(early November to early May for wheat and early April between wheat strips to July for maize). Has been changed into “The cropping systems were mono-maize cropping at GZL (late April to late September), wheat-maize double-cropping at ZZ (mid-October to early June for wheat and mid-June to late September for maize) and QY(early November to early May for wheat and early April between wheat strips to July for maize)”.

5) L161: what is the applied soil P ? ; the P from the fertilizer was not calculated in the formula?

Answer: The applied soil P was “P fertilizer”

6) Line 166：The statistical analysis description has been changed:

Line 166-175: A simple linear model was used to determine the relationships between soil Olsen-P and the experimental years, soil Olsen-P and the P budget, soil Olsen-P efficiency, soil pH, and organic matter under various fertilization patterns, quadratic equation of one unknown was used to determine the relationships between soil Olsen-P and the experimental years in Calcaric Cambisolin Excel 2013 (Microsoft Corp, Redmond, Washington, USA). The SPSS 20.0 (International Business Machines Corporation, Armonk, NewYork, USA) was used to do the data analysis by calculating the mean, the standard error of mean of crop yield, soil pH and SOM. Before doing the ANOVA significance levels in table 3, descriptive statistics was used in SPSS to ensure the normal distribution of data.

7) L218: replace ‘mean value of the three treatments’ as ‘average value over the three treatments’

8) L342: Is the soil acidification correlated to the fertilizer application practices? What is the reason for the serious soil acidification?

Answer: The addition of nitrogen caused soil acidification and it was so serious that caused a decrease of crop production, and almost eliminated yield from 2006 to 2012 under NK.

9) L351: the sentence ‘When the amount of P fertilizers was higher the crop uptake…’ was corrected into “When the amount of P fertilizers was higher than crop uptake”

10) L352: 71 kg of phosphorus fertilizer? Or the P2O5. Please recheck. The number seems too low.

Answer: The sentence has been changed into “Although the amount of phosphorus fertilizer (P2O5) input per unit area for food crops in China has reached to 71 kg ha-1, higher than that in many developed countries [26]”. 71 kg ha-1 P2O5 per unit area for food crops was common in fertilization practice, and in the long-term experiment, the amount of P2O5 input per unit area for food crops was usually 75 kg ha-1 P2O5.

11) L470-497: the conclusion is too similar to the result of the experiments. It's hard to see the academic value of research in the current version. Please rewrite it.

Answer: the conclusion has been rewritten as:

a) Crop yield was not consistent with P budget and soil Olsen-P in the three sites for the low soil pH value in Eutric Cambisol, and high content of soil initial Olsen-P and SOM in Luvic Phaeozems. In each site, crop yield under treatments with P fertilizers was significantly higher than that under treatments without P fertilizers. In Eutric Cambisol, crop yield under NPKM was significantly higher than that under NPK and NPKS. But in Luvic Phaeozems and Calcaric Cambisol, crop yield under NPK, NPKS, and NPKM was close, which caused by higher content of CaCO3 in Calcaric Cambisol,and high soil initial Olsen-P and SOM in Luvic Phaeozems.

b) Under treatments without P fertilizers, soil Olsen-P and the P deficit had a significantly positive relationship. With every 100 kg P ha–1 of deficit, the order of the soil Olsen-P decrease was Eutric Cambisol (8.56 mg kg-1) > Luvic Phaeozems (1.97 mg kg-1)> Calcaric Cambisol (0.47 mg kg-1). The order represents the ability of original P in the soil to convert into available P (Olsen-P), which could be affected by pH and SOM.

c) Under treatments with P fertilizers, the relation between soil Olsen-P and the P surplus could be simulated by a simple linear equation except under NPK and NPKS in Luvic Phaeozems. With 100 kg ha-1 in P surplus, soil Olsen-P increased by 3.24-7.27 mg kg-1 in the order Calcaric Cambisol (6.42 mg kg-1) > Eutric Cambisol (3.24 mg kg-1). Under the NPK and NPKS treatments in Luvic Phaeozems, the P surplus was relatively low, but soil Olsen-P also increased. The result could be explained by that the high SOM content promoted the transformation of organic P (Po) into inorganic P (Pi) fractions.

d) In the practice of fertilization, it is reasonable to apply the kind and the amount fertilizers according to the local soil need. For example in Luvic Phaeozems, the initial soil Olsen-P was close to the CPV of crop, phosphorus was not serious needed in this place, and soil nitrogen was more needed, so crop yield under different P fertilizers (NPK, NPKS, and NPKM) was not significantly different.

Once again, many thanks for your generous help with our manuscript.

Your’s sincerely,

Shuxiang Zhang

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PLoS One. doi: 10.1371/journal.pone.0230178.r004

Decision Letter 1

Vassilis G Aschonitis

25 Feb 2020

The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

PONE-D-19-33392R1

Dear Dr. Zhang,

We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements.

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Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Reviewer #1: I have seen that they have included the changes that I suggested and I think this publication is now ready to be submitted. I am particularly content that they reviewed their statistical analysis and incorporated changes in their text and the graphs. I can also see that they have improved a lot their English and the document looks now appropriate for publication. Anyway, this publication describes an experiment which has run for long time and clarifies some issues about phosphorus absorption and budget in soil.

Reviewer #2: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Miltiadis Iatrou

Reviewer #2: Yes: Zhen Wang

PLoS One. doi: 10.1371/journal.pone.0230178.r005

Acceptance letter

Vassilis G Aschonitis

3 Mar 2020

PONE-D-19-33392R1

The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

Dear Dr. Zhang:

I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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[pone.0230178.ref001] 1.Tilman D, Cassman KG, Matson PA, Naylor R, Polasky S. Agricultural sustainability and intensive production practices. Nature. 2002; 418: 671–677. 10.1038/nature01014 [DOI] [PubMed] [Google Scholar]

[pone.0230178.ref002] 2.Grant C, Bittman S, Montreal M, Plenchette C, Morel C. Soil and fertilizer phosphorus: effects on plant P supply and mycorrhizal development. Can. J. Plant. Sci. 2005; 85: 3–14. [Google Scholar]

[pone.0230178.ref003] 3.MacDonald GK, Bennett EM, Potter PA, Ramankutty N. Agronomic phosphorus imbalances across the world’s croplands. Proc. Natl. Acad. Sci. 2011; 108: 3086–3091. 10.1073/pnas.1010808108 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pone.0230178.ref004] 4.Cao N, Chen X, Cui Z, Zhang F. Change in soil available phosphorus in relation to the phosphorus budget in China. Nutr. Cycling Agroecosyst. 2012; 94: 161–170. [Google Scholar]

[pone.0230178.ref005] 5.Medinski T, Freese D, Reitz T. Changes in soil phosphorus balance and phosphorus-use efficiency under long-term fertilization conducted on agriculturally used Chernozem in Germany. Can. J. Soil. Sci. 2018; 98: 650–662. [Google Scholar]

[pone.0230178.ref006] 6.Zhang FS, Wang JQ, Zhang WF, Cui ZL, Ma WQ, Chen XP, et al. Nutrient use efficiencies of major cereal crops in China and measures for improvement. Acta Pedologica Sinica. 2008; 45: 915–924. (in Chinese) [Google Scholar]

[pone.0230178.ref007] 7.Weaver DM, Wong MTF. Scope to improve phosphorus (P) management and balance efficiency of crop and pasture soils with contrasting P status and buffering indices. Plant Soil. 2011; 349: 37–54. [Google Scholar]

[pone.0230178.ref008] 8.Evanylo G, Sherony C, Spargo J, Starner D, Brosius M, Haering K. Soil and water environmental effects of fertilizer-, manure-, and compost-based fertility practices in an organic vegetable cropping system. Agr. Ecosyst. Environ. 2008; 127: 50–58. [Google Scholar]

[pone.0230178.ref009] 9.Fischer P, Pothig R, Venohr M. The degree of phosphorus saturation of agricultural soils in Germany: Current and future risk of diffuse P loss and implications for soil P management in Europe. Sci. Total. Environ. 2017; 599–600, 1130–1139. 10.1016/j.scitotenv.2017.03.143 [DOI] [PubMed] [Google Scholar]

[pone.0230178.ref010] 10.Xu MG, Zhang WJ, Huang SM. Fertility evolution of China's soil. Beijing: China's agricultural science and technology press. 2015. (in Chinese) [Google Scholar]

[pone.0230178.ref011] 11.Tian JH, Boitt G, Black A, Wakelin S, Condron LM, Chen LJ. Accumulation and distribution of phosphorus in the soil profile under fertilized grazed pasture. Agr. Ecosyst. Environ. 2017; 239: 228–235. [Google Scholar]

[pone.0230178.ref012] 12.Khan A, Lu GY, Ayaz M, Zhang HT, Wang RJ, Lv FL, et al. Phosphorus efficiency, soil phosphorus dynamics and critical phosphorus level under long-term fertilization for single and double cropping systems. Agr. Ecosyst. Environ. 2018; 256: 1–11. [Google Scholar]

[pone.0230178.ref013] 13.Zicker T, von Tucher S, Kavka M, Eichler-Lobermann B. Soil test phosphorus as affected by phosphorus budgets in two long-term field experiments in Germany. Field. Crop. Res. 2018; 218: 158–170. [Google Scholar]

[pone.0230178.ref014] 14.Tang X, Li J, Ma Y, Hao X, Li X. Phosphorus efficiency in long-term (15 years) wheat-maize cropping systems with various soil and climate conditions. Field. Crop. Res. 2008; 108, 231–237. [Google Scholar]

[pone.0230178.ref015] 15.Messiga AJ, Ziadi N, Plénet D, Parent LE, Morel C. Long-term changes in soil phosphorus status related to P budgets under maize monoculture and mineral P fertilization. Soil. Use. Manage. 2010; 26: 354–364. [Google Scholar]

[pone.0230178.ref016] 16.Diaz I, Torrent J. Changes in Olsen P in Relation to P Balance in Contrasting Agricultural Soils. Pedosphere. 2016; 26: 636–642. [Google Scholar]

[pone.0230178.ref017] 17.Johnston AE. Soil and plant phosphate Paris: International Fertilizer Industry Association Press, 2000; 27–29. [Google Scholar]

[pone.0230178.ref018] 18.Zhana XY, Zhang L, Zhou BK, Zhu P, Zhang SX, Xu MG. Changes in Olsen Phosphorus Concentration and Its Response to Phosphorus Balance in Black Soils under Different Long-Term Fertilization Patterns. PLoS ONE, 2015; 10(7), e0131713 10.1371/journal.pone.0131713 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pone.0230178.ref019] 19.Pei RN, Yang SM, Xu MG, Fan TL, Zhang HM. Response of Olsen-P to P balance in Black Loessial soil under long-term fertilization. Scientia Agricultura Sinica. 2010; 43: 4008–4015. (in Chinese) [Google Scholar]

[pone.0230178.ref020] 20.Wu QH, Zhang SX, Zhu P, Huang SM, Wang BR, Zhao LP, et al. Characterizing differences in the phosphorus activation coefficient of three typical cropland soils and the influencing factors under long-term fertilization. PLoS ONE. 2017; 12(5): e0176437 10.1371/journal.pone.0176437 [DOI] [PMC free article] [PubMed] [Google Scholar]

[pone.0230178.ref021] 21.Wang T, Yang YH, Ma WH. Storage, Patterns and Environmental Controls of Soil Phosphorus in China. Acta Scientiarum Naturalium Universitatis Pekinensis. 2008; 44: 945–952. [Google Scholar]

[pone.0230178.ref022] 22.Lu RK. Methods of Agricultural Chemical Analysis of Soil. China Agricultural Science and Technology Press, China: 2000. (in Chinese) [Google Scholar]

[pone.0230178.ref023] 23.Nagumo T, Tajima S, Chikushi S, Yamashita A. Phosphorus balance and soil phosphorus status in paddy rice fields with various fertilizer practices. Plant Prod. Sci. 2013; 16: 69–76. [Google Scholar]

[pone.0230178.ref024] 24.Sun BH, Cui QH, Guo Y, Yang XY, Zhang SL, Gao MX, et al. Soil phosphorus and relationship to phosphorus balance under long-term fertilization. Plant Soil Environ. 2018; 64: 214–220. [Google Scholar]

[pone.0230178.ref025] 25.Zeng XB, Chen TB, Hu QX, Lin ZH. Grain productivity and its potential as related to fertilizer consumption among different counties of China. Acta Geographica Sinica. 2002; 57: 539–546. [Google Scholar]

[pone.0230178.ref026] 26.Wu QH, Zhang SX, Feng G, Zhu P, Huang SM, Wang BR, et al. Determining the optimum range of soil Olsen-P for high phosphorus efficiency, crop yield and soil fertility in three typical cropland soils. Accepted by Pedosphere. 2019. [Google Scholar]

[pone.0230178.ref027] 27.Zhang WL, Wu SX, Ji HJ, Kolbe H. Estimation of agricultural non-point source pollution in China and the alleviating strategies. Scientia Agricultura Sinica. 2004; 37: 1008–1017. [Google Scholar]

[pone.0230178.ref028] 28.Holford I C R. Soil phosphorus: its measurement, and its uptake by plants. Soil Research. 1999; 35: 227–239. [Google Scholar]

[pone.0230178.ref029] 29.Zhang SF, Wang JQ, Zhang WF. The relationship between fertilizer input level and nutrient use efficiency. Acta Pedologica Sincica. 2008; 45: 915–924. [Google Scholar]

[pone.0230178.ref030] 30.Rowe H, Withers PJA, Baas P, Chan NI, Doody D, Holiman J, et al. Integrating legacy soil phosphorus into sustainable nutrient management strategies for future food, bioenergy and water security. Nutr. Cycl. Agroecosyst. 2016; 104: 393–412. [Google Scholar]

[pone.0230178.ref031] 31.Qua JF, Li JM, Xu MG, Dai JJ. Total-P and Olsen-P dynamics of long-term experiment without fertilization. Plant Nutrition and Fertilizer Science. 2008; 14: 90–98. (in Chinese) [Google Scholar]

[pone.0230178.ref032] 32.Qub JF, Li JM, Xu MG, Dai JJ. Phosphorus changes of several typical soils under long-term single nitrogen and potassium fertilization. Ecology and Environment. 2008; 17: 2068–2073. (in Chinese) [Google Scholar]

[pone.0230178.ref033] 33.Qiu YQ, Gan GJ, Liu W, Liu Y, Hou HB, Li YY, et al. The study of distribution characteristics of phosphorus of typical soils in Hunan and its loss risk. Chinese Agricultural Science Bulletin. 2012; 28: 223–227. (in Chinese) [Google Scholar]

[pone.0230178.ref034] 34.Wang X, Nicolas A, Jelinski BT, Kyungsoo Y. Long- term agricultural management and erosion change soil organic matter chemistry and association with minerals. Science of the total environment. 2019; 648: 1500–1510. 10.1016/j.scitotenv.2018.08.110 [DOI] [PubMed] [Google Scholar]

[pone.0230178.ref035] 35.Zhanb XY, Ren Y, Zhang SX, Kang RF. Changes in Olsen Phosphorus Concentration and Its Response to Phosphorus Balance in the Main Types of Soil in China. Scientia Agricultura Sinica. 2015; 23: 4728–4737. (in Chinese) [Google Scholar]

[pone.0230178.ref036] 36.Li Y, Liu Y L, Zhang YR, Shen Y, Zhang WA, Jiang TM. Response of Olsen-P to P balance in yellow soil upland of southwestern China under long-term fertilization. Chinese Journal of Applied Ecology. 2016; 07: 2321–2328. (in Chinese) [DOI] [PubMed] [Google Scholar]

[pone.0230178.ref037] 37.Dou ZX, Ramberg CF, Toth JD, Wang Y, Sharpley AN, Boyd SE, et al. Phosphorus speciation and sorption-desorption characteristics in heavily manured soils. Soil. Sci. Soc. AM. J. 2009; 73: 93–101. [Google Scholar]

[pone.0230178.ref038] 38.Du ZY, Wang QH, Liu FC, Ma HL, Ma BY, Malhi SS. Movement of phosphorus in a calcareous soil as affected by humic acid. Pedosphere. 2013; 23: 229–235. [Google Scholar]

[pone.0230178.ref039] 39.Ding XD, Wei CB, Wang XY, Li SY. Phosphorus leaching risk assessment with manure fertilizer application in south China. B. Environ. Contam. T. 2014; 93: 120–125. [DOI] [PubMed] [Google Scholar]

[pone.0230178.ref040] 40.Kang J, Hesterberg D, Osmond DL. Soil organic matter effects on phosphorus sorption: a path analysis. Soil. Sci. Soc. AM. J. 2009; 73: 360–366. [Google Scholar]

[pone.0230178.ref041] 41.Whalen JK, Chang C, Clayton GW, Carefoot JP. Cattle manure amendments can increase the pH of acid soils. Soil. Sci. Soc. AM. J. 2000; 64: 962–966. [Google Scholar]

[pone.0230178.ref042] 42.Gao HJ, Peng C, Zhang XZ, Li Q, Zhu P. Effects of long-term fertilization on maize yield, active organic matter and pH value of Black soil. Journal of maize sciences. 2014; 22: 126–131.(in Chinese) [Google Scholar]

[pone.0230178.ref043] 43.Bertrand I, Hinsinger P, Jaillard B, Arvieu JC. Dynamics of phosphorus in the rhizosphere of maize and rape grown on synthetic, phosphated calcite and goethite. Plant and Soil. 1999; 211:111–119. [Google Scholar]

[pone.0230178.ref044] 44.Stanko M, Jordana N, Tijana Z, Dragana L, Srđan Š, Vesna R, et al. Soil fertility and phosphorus fractions in a calcareous chernozem after a long-term field experiment, Geoderma. 2019; 339: 9–19. [Google Scholar]

[pone.0230178.ref045] 45.Pierzynski GM, Mc Dowell RW, Sims JT. Chemistry, cycling, and potential moment of inorganic phosphorus in soils In: Sims J T, Sharpley A N, eds., Phosphorus: Agriculture and the Environment. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, Madison: 2005; 53–86. [Google Scholar]

[pone.0230178.ref046] 46.Arai Y, Sparks DL. Phosphate reaction dynamics in soils and soil minerals: A multiscale approach. Adv. Agron. 2007; 94: 135–179. [Google Scholar]

[pone.0230178.ref047] 47.Roberts T L, Johnston A E. Phosphorus use efficiency and management in agriculture. Resources, Conservation and Recycling. 2015; 105; 275–281. [Google Scholar]

PERMALINK

The response of soil Olsen-P to the P budgets of three typical cropland soil types under long-term fertilization

Weiwei Zhang

Qiong Wang

Qihua Wu

Shuxiang Zhang

Ping Zhu

Chang Peng

Shaomin Huang

Boren Wang

Huimin Zhang

Roles

Abstract

Introduction

Materials and methods

Experimental sites

Fig 1. Locations of the three long-term fertilizer application sites in China.

Table 1. Locations, climate conditions (shown as the mean for 1990–2012, as obtained from the China meteorological sharing service system (http://cdc.cma.gov.cn/)), and the initial surficial soil properties (1990) of the three sites.

Experimental design

Table 2. Rates of N, P, and K application in the forms of chemical fertilizer and manure at the three long-term fertilizer application sites.

Soil and plant sampling and chemical analyses

Calculation and statistical analysis

Table 3. Soil Olsen-P, P budget, crop yeil and soil properties (pH and SOM) under the three soil types and five treatments.

Results

Soil P budget

Fig 2. P budget of soils under different fertilizer application treatments.

Soil Olsen-P

Fig 3. Change in soil Olsen-P over time in response to different fertilization treatments.

Response of soil Olsen-P to the P budget

Fig 4. Response of soil Olsen-P to the soil P budget under different long-term fertilizer application treatments.

Crop yield

Fig 5. Crop yields at the three sites.

Soil Organic Matter (SOM)

Fig 6. Soil organic matter of the three sites.

Fig 7. The relation between soil organic matter and soil Olsen-P efficiency of the three sites.

pH

Fig 8. CK: Unfertilized control; NK: Nitrogen and potassium; NPK: Nitrogen, phosphorous, and potassium; NPKS: Nitrogen, phosphorous, potassium and straw; and NPKM: Nitrogen, phosphorous, potassium and manure (NPKM).

Fig 9. The relation between soil pH and soil Olsen-P efficiency of the three sites.

Discussion

Soil P budget and crop yield

Soil Olsen-P and its relationship to the P deficit

Soil Olsen-P and its relationship to the P surplus

Conclusions

Supporting information

Acknowledgments

Data Availability

Funding Statement

References

Author response to previous submission

Decision Letter 0

Vassilis G Aschonitis

Roles

Author response to Decision Letter 0

Decision Letter 1

Vassilis G Aschonitis

Roles

Acceptance letter

Vassilis G Aschonitis

Roles

Associated Data

Supplementary Materials

Data Availability Statement

ACTIONS

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