3.1 Effect of sewage irrigation on physical-chemical properties of topsoil
Table 1 showed the physical-chemical properties and the concentration of As and Cd of topsoil. The content of As and Cd in Dongdagou were 4.93 ~ 557.55 mg kg− 1 and 0.18 ~ 107.58 mg kg− 1 with an average of 74.94 mg kg− 1 and 20.18 mg kg− 1, compared with the risk screening values for soil contamination of agricultural land (CEPA 2018) there were 2.36 times and 67.27 times higher than the standard. Among them, As content exceeded the standard in 24 sampling points, with the exceeding standard rate of 52.17%. There were 44 sampling points where Cd exceeded the standard, and the over-standard rate was 97.72%. The content of As and Cd in the Xidagou were 6.11 ~ 19.44 mg kg− 1 and 2.99 ~ 20.51 mg kg− 1, respectively, with an average of 14.09 mg kg− 1 and 7.08 mg kg− 1. The Cd content exceeded the standard rate of 100%. Although As did not exceed the screening value, some samples exceed the soil background value of Gansu Province, which was still worthy of attention. In general, the pollution degree of Dongdagou was more serious than that of Xidagou.
Table 1
The physical-chemical properties of topsoil and the average concentration of As and Cd.
|
Dongdagou(n = 45)
|
BVa
|
RSVb
|
Xidagou(n = 34)
|
MIN
|
MAX
|
AVG
|
CV(%)
|
MIN
|
MAX
|
AVG
|
CV(%)
|
As(mg·kg− 1)
|
4.93
|
557.55
|
74.94
|
124
|
12.60
|
30.00
|
6.11
|
19.44
|
14.09
|
22.06
|
Cd(mg·kg− 1)
|
0.18
|
107.58
|
20.18
|
124
|
0.12
|
0.30
|
1.58
|
13.96
|
4.88
|
50.32
|
|
DTPA-Cd(mg·kg− 1)
|
0.26
|
26.50
|
5.30
|
112.53
|
-
|
-
|
0.06
|
7.57
|
2.01
|
86.80
|
|
DTPA-As(mg·kg− 1)
|
0.01
|
12.37
|
2.13
|
142.69
|
-
|
-
|
0.01
|
0.49
|
0.17
|
63.84
|
|
Clay < 0.002mm(%)Slit0.002mm-0.02mm༈%༉
Sand > 0.02mm(%)
|
7.38
|
9.70
|
8.21
|
8.83
|
-
|
-
|
2.35
|
11.79
|
6.496
|
38.59
|
27.61
|
43.39
|
34.689
|
16.40
|
-
|
-
|
9.49
|
49.75
|
25.52
|
41.09
|
49.18
|
64.95
|
57.103
|
10.27
|
-
|
-
|
38.46
|
88.16
|
67.98
|
19.06
|
pH
|
7.12
|
8.55
|
7.98
|
3.53
|
8.40
|
-
|
7.56
|
8.07
|
7.85
|
2
|
EC( µs·cm− 1)
|
326.00
|
4170.00
|
960
|
83.23
|
-
|
-
|
213.00
|
927.50
|
431.99
|
35
|
TS(g·kg− 1)
|
0.44
|
5.23
|
1.34
|
89.81
|
-
|
-
|
0.53
|
2.43
|
0.84
|
45.18
|
CaCO3(%)
|
5.89
|
14.29
|
11.26
|
16.39
|
11.8
|
-
|
3.42
|
12.67
|
9.07
|
23
|
SOM(g·kg− 1)
|
2.44
|
42.31
|
21.55
|
35.78
|
9.40
|
-
|
1.03
|
37.64
|
15.74
|
50
|
a Refer to the background value of soil elements in Gansu province. |
b Refer to the risk screening value for soil contamination of agricultural land (6.5 < pH ≤ 7.5) (Trial implementation). ‘-’Represents did not mention in the passage; ‘TS’ represents the total salinity of the soil solution; ‘SOM’ represents soil organic matter; ‘EC’ represents electrical conductivity; ‘CV’ represents coefficient of variation; ‘MIN’ represents minimal value; ‘MAX’ represents maximal value; AVG represents mean value. |
The pH value of Dongdagou was between 7.12 ~ 8.55, the average value was 7.98. In Xidagou was between 7.56 ~ 8.07, the average value was 7.85. Background value was 8.40, and the soil pH value has dropped. This may be a long-term acid wastewater irrigation and fertilization (Li, Wang et al. 2019). According to reports, after chemical fertilizers were applied to farmlands all over the world, the pH value of the soil dropped severely, and acidic wastewater irrigation was a key factor (Kunhikrishnan, Bolan et al. 2012). Soil acidification will lead to the dissolution of carbonate and the release of pollutants so the carbonate content of Dongdagou and Xidagou is 11.26% and 9.07%, respectively, which is lower than the background value of 11.8%.
The content of soil organic matter was higher than the background value. This was due to local agricultural customs. Every winter, before fertilization, fertilizers was accumulated in farmland. Application of organic fertilizer can increase soil fertility, while organic matter can retain more heavy metals due to its powerful supplementary ability (Violante, Cozzolino et al. 2010). The EC in the soil shows its salt content. The high salinity in soil directly leads to the inability of crops to grow (Shrivastava and Kumar 2015). Under the conditions of less rainfall and large evaporation in northwest China, the accumulation of salt on the soil surface will increase the salt content and pH value, and in some areas will cause salinization. The highest value of total salinity in Dongdagou reaches 5.23 g kg− 1 belonging to strong saline soil, and the average value of 1.34 g kg− 1 belonged to mildly saline soil. The average value of total salinity in Xidagou was 0.84 g kg− 1 belonged to non-saline soil, but the maximum value of 2.43 g kg− 1 belonged to moderate saline soil, indicating that some land has begun to be salinized. Therefore, the salinity of Dongdagou is more serious than that of Xidagou. This may be due to the high salinity of sewage irrigation water, resulting in the accumulation of topsoil in farmland (Angin, Yaganoglu et al. 2005). This will bring adverse consequences, such as soil compaction and fertility decline, as well as adverse effects, such as crops are difficult to absorb nutrients, hindering crop growth (Chojnacka, Witek-Krowiak et al. 2020).
According to the grain size distribution of Dongdagou and Xidagou, the soil structure is mainly composed of mineral loam and loam. The distribution of soil is affected by its service life and spatial location. Related studies show that the longer the service life, the finer the soil composition (Shepherd, Saggar et al. 2001). In addition, farmland vegetation coverage is different, and it is located in different areas affected by main wind direction all year round, so the responses to wind erosion is different (Zuazo and Pleguezuelo 2008). Compared with farmland, the volume content of clay and slit particles in the upper reaches of Dongdagou wasteland was reduced by 8.32%~23.38% and 15.19%~30.24% also confirmed this point, so ensuring long-term and reasonable farming management methods will help stabilize and improve soil grain size distribution.
3.2 Bioavailability evaluation of As and Cd in topsoil
Studies have shown that the content of Cd in grains is mainly related to the bioavailability of Cd in the soil, but not to the total amount of Cd in the soil (Kim, Kim et al. 2016). Therefore, we need to know the distribution of Cd in various sewage irrigation area. In the (Fig. 2A-B) Cd mainly existed in carbonate-bound fraction (F2) and exchangeable fraction (F1). The total amount of these two forms exceeded 50% in Dongdagou and approached 60% in Xidagou. Exchangeable Cd is mainly composed of Cd2+, CdCl+, CdSO4 and CdHCO3+ (Filipović, Romić et al. 2018). These ions are easily absorbed and enriched by plants. The next fractions were Fe-Mn oxides-bound fraction (F3) representing the reduced form, organic-bound fraction (F4), and residual fraction (F5), which all were not easily dissolved under natural conditions and were sealed in the crystal lattice structure of soil minerals (Tessier, Campbell et al. 1979). Cd content in F5 of some sampling points in Dongdagou is low. In this study area, the exchangeable fraction and the carbonate-bound fraction accounted for a relatively high proportion, so there were higher bioavailability and ecological safety risks (Zhao, He et al. 2020).
Arsenic in the soil mainly exists as residual fraction (F5), accounting for 84.32% ~ 96.98% (Fig. 2C-D), which could explain why the total As content in soil is high, while the As content in the corn plants is low (Fig. 5). Exchangeable parts can be released and transported by dissolution, ion exchange and desorption, which has great influence on soil and plants. In this study, the exchangeable fraction account for the smallest proportion of total As content in the soil, but they could migrate with surface water and interstitial water. Poisoning occurs after drinking or being absorbed by plants and animals (Ruíz-Huerta, Varela et al. 2017). The reduced state is mainly in the form of Fe-Mn oxides-bound fraction. The proportion of Xidagou is around 5%, and Dongdagou is close to 10%. Under the influence of soil pH, Eh and some iron-reducing microorganisms, this part can be transformed into exchangeable As (Masscheleyn, Delaune et al. 1991).
The amount of DTPA extracted from metal elements is regarded as an effective forms of heavy metals (Lee, Park et al. 2011). The DTPA extraction from Dongdagou and Xidagou have a good linear relationship between summation of exchangeable and carbonate-bound fraction (Fig. 3). Some studies have concluded that the sum of exchangeable and carbonate-bound heavy metals can be regarded as an effective state for plants to absorb and utilize (Nie, Yang et al. 2018). We have found a simpler and more efficient method, that is, to judge the bioavailability and toxicity of heavy metals in this area by single-step extraction.
3.3 Distribution of As and Cd in profile
Under the effects of farming, leaching, etc., the heavy metals accumulated in the soil will migrate horizontally and vertically, making it show different accumulation characteristics in the profile soil (Bongoua-Devisme, Balland-Bolou-Bi et al. 2018). The research shows that heavy metals accumulation in soil profile is affected by pollution sources. For example, there was a significant bottom-layer enrichment of heavy metals in the soil near the Urad Houqi mining area (Song, Li et al. 2018). Profile distribution can reflect the accumulation of heavy metals pollution in farmland. Comparing Fig. 4A-B, although Cd pollution in Xidagou is lighter than that in Dongdagou, it still exceeds the screening value of soil risk at 50cm of soil profile. However, in Dongdagou, the soil at the surface layer of 20 cm exceeds the risk control value, but it is lower than the risk screening value at 50 cm, which is clean soil. Therefore, when investigating the pollution of farmland in long-term polluted irrigation areas, only collected the soil at the surface layer of 20cm can not represent the pollution degree, and it is necessary to collect the profile soil over 50cm for further study.
Xidagou profile of As (Fig. 4C) basically within the safe range, there is no pollution and there is no obvious correlation with depth. On the contrary, Dongdagou (Fig. 4D) (PE1, 2, 5, 6, 7) exceeds the risk screening value of 30 mg kg− 1 (solid blue line) at 0 ~ 30cm, and PE5 and PE7 surface soil 0 ~ 20cm exceeded the risk control value of 120 mg kg− 1 (solid red line), indicating that the point source pollution at the middle and upper reaches profile of Dongdagou has surface accumulation phenomenon, and the pollution was serious. At the same time, pollution was concentrated in the topsoil (10 ~ 30cm), which indicates that the mobility of As is not high.
The soil in this study area was sierozem, with mineral loam and loam structure, so the soil was loose and sandy. When the concentration of Cd was less than 3 mg kg− 1, the migration of Cd in the soil was more intense (Fig. 4A). On the contrary, because of the competition and exchange of ions (Table 1), the migration becomes smaller with the increase of soil depth (Fig. 4B). The results showed that the improvement of Cd availability will not improve the migration capacity of Cd in the soil if it did not exceed the adsorption capacity of Cd in the soil (Filipović, Romić et al. 2018). When the As concentration is less than 10 mg kg− 1, there is no obvious change in As concentration with the increase of soil depth (Fig. 4C). The main reason is that the concentration is within the range of soil background value (Table 1). On the contrary, arsenic is mainly concentrated in the soil with a depth of 10 ~ 30cm (Fig. 4D). With special environmental conditions conductive to the attenuation of As. Therefore, ionic As exists in a stable solid residual state (Wang and Mulligan 2006). At the same time, during irrigation process, the concentrations of As and Cd mainly migrate in the form of suspended solids, and the purification effect of heavy metals in the upper middle reaches is shorter than that in the lower reaches. Therefore, they accumulate on the surface in the middle and upper reaches of the sewage irrigation. Due to self-purification, the concentrations of As and Cd in sewage decrease, and so do the downstream (de Santiago-Martín, Meffe et al. 2020).
3.4 The accumulation of As and Cd in different parts of corn
The range of As and Cd contents in Dongdagou grain was 0 ~ 0.265 mg kg− 1 and 0.001 ~ 0.503 mg kg− 1, the average value was 0.038 mg kg− 1 and 0.095 mg kg− 1 which were lower than the national food safety standard maximum levels of contaminants in food limit of As 0.5 mg kg− 1 and Cd 0.1 mg kg− 1 (CEPA 2017). However, the Cd of some points in Dongdagou exceeded the standard, with an over-standard rate of 32.35% but As is safe. The content of As and Cd in Xidagou grain ranged from 0.013 to 0.097 mg kg− 1 and 0.01 to 0.138 mg kg− 1, with the average values of 0.033 mg kg− 1 and 0.051 mg kg− 1, respectively. 12.90% of samples exceeded the standard, and As was also safe.
In related research, the migration coefficient from roots to grain in sandy loam was 3.2%~4.7% (this study was 4%), which is not high (Table 2) (Lottermoser 2012, Yadav, Minhas et al. 2015, Meng, Wang et al. 2016, Farahat, Galal et al. 2017, Xue, Zhao et al. 2019). It also showed that the self-protection mechanism of corn tissue makes it difficult to accumulate in the grains, so the edible part of contaminated soil is within a safe range (Fig. 5). Some pollutants can enter plants through stomata of leaves. Biological monitoring of plants has been used to monitor chromium, nickel, copper, zinc, arsenic, cadmium and lead in the atmosphere (Suvarapu and Baek 2016). Contaminants enter the leaves through soil-root-leaf, air-leaf and stem-leaf, which can explain why As and Cd content in leaves are higher than other organs (Fig. 5) (He, Wang et al. 2021). But in this study, there is no direct evidence that the enrichment of heavy metals in leaves mainly comes from air pollutants. The content of As and Cd in corn inflorescence was higher than that in other parts (except roots and leaves). The main reason was that the growth period of male inflorescence of corn is short (10-15d), and a lot of nutrients are needed in a short time during the growth process. At the same time, pollutants can also enter the male inflorescences with nutrients (Li, Wang et al. 2019). By the transpiration, the metal ions in the plant were transported upwards, and eventually reached the male inflorescence and accumulated. Pollen development of corn male inflorescence was important, and any abnormality will affect the yield of corn. Previous studies have shown that heavy metals can cause nutrient deficiency during the development of microspores, so reducing As and Cd transport in corn plays an important role in corn yield (Mohsenzadeh, Chehregani Rad et al. 2011).
Table 2
Comparison of As and Cd concentrations in sewage irrigated soil of different regions.
Site
|
As concentration range
(mg·kg− 1)
|
Cd
concentration range
(mg·kg− 1)
|
pH
|
SOM
(%)
|
TF
|
BCF
|
Soil types
|
Sewage irrigation time
(a)
|
Data source
|
Berlin, Germany
|
0.7–4.1
|
0.14–31.5
|
3.93–6.92
|
-
|
-
|
-
|
Sandy soil
|
110
|
(Lottermoser 2012)
|
Faridabad,
India
|
-
|
1.38–3.24
|
8.2 ± 0.3
|
2.4 ± 0.4
|
Cd < 1
|
-
|
Sandy loam
|
25
|
(Yadav, Minhas et al. 2015)
|
Hebei, China
|
8.83–19.7
|
0.21–1.19
|
7.91–8.33
|
-
|
-
|
Cd < 1
As < 1
|
-
|
50
|
(Xue, Zhao et al. 2019)
|
Cairo, Egypt
|
-
|
0.22 ± 0.01
|
7.21 ± 0.02
|
-
|
Cd < 1
|
Cd > 1
|
-
|
20
|
(Farahat, Galal et al. 2017)
|
Tianjin, China
|
5.14–19.7
|
0.05–1.17
|
8.44 ± 0.44
|
2.66 ± 0.32
|
-
|
Cd < 1
As < 1
|
-
|
35
|
(Meng, Wang et al. 2016)
|
Gansu, China
|
4.93-557.75
|
0.18-107.38
|
7.12–8.55
|
1.87 ± 0.35
|
Cd > 1
As < 1
|
Cd < 1
As < 1
|
mineral loam and loam
|
40
|
This study
|
By comparing the transfer coefficient of aboveground parts of plants (Table 3), it can be seen that the Cd (TF > 1) is easier to transfer in tissues than As. According to the bioaccumulation factors (BCF < 1), As and Cd in roots can not accumulate from soil (Table 2). This shows that the interaction between the root system and metals is decisive factor. The average content of Cd in different parts of the corn is in order of: root > leaf > male inflorescence > husk > stem > corn stigma > corncob > grain and the average As content in order: root > leaf > male inflorescence > husk > stem > corn stigma > grain > corncob. Generally speaking, two kinds of pollutants are easy to migrate and accumulate in leaves and male inflorescences.
Table 3
Bioaccumulation and translocation factors of As and Cd in different maize organs.
|
|
BCF/TF (Average ± S.D.)
|
|
R/Soil
|
S 1/R
|
S 2/R
|
L 1/R
|
L 2/R
|
MI/R
|
H/R
|
C/R
|
CS/R
|
G/R
|
W
|
As
Cd
|
0.08 ± 0.09
0.11 ± 0.13
|
0.22 ± 0.19
0.48 ± 1.30
|
0.12 ± 0.10
0.47 ± 0.56
|
0.83 ± 0.60
0.83 ± 1.00
|
0.66 ± 0.54
1.11 ± 1.73
|
0.40 ± 0.56
1.19 ± 1.71
|
0.25 ± 0.25
0.62 ± 1.58
|
0.01 ± 0.04
0.24 ± 0.29
|
0.11 ± 0.26
0.32 ± 0.33
|
0.04 ± 0.19
0.13 ± 0.20
|
E
|
As
|
0.10 ± 0.08
|
0.24 ± 0.29
|
0.16 ± 0.18
|
1.14 ± 0.97
|
0.88 ± 0.69
|
1.02 ± 0.84
|
0.33 ± 0.59
|
0.01 ± 0.01
|
0.27 ± 0.37
|
0.04 ± 0.04
|
Cd
|
0.09 ± 0.06
|
0.31 ± 0.27
|
0.57 ± 0.41
|
2.92 ± 2.72
|
2.61 ± 2.40
|
2.28 ± 2.68
|
0.74 ± 0.70
|
0.37 ± 0.42
|
1.20 ± 1.39
|
0.30 ± 0.30
|
BCF: bioaccumulation factors; TF: translocation factors. |
W: Xidagou; E: Dongdagou. |
R: Roots; S 1: Stem 1; S 2: Stem 2; L 1: Leaf 1; L 2: Leaf 2; MI: Male Inflorescence; H: Husk; CS: Corn Stigma; C: Corncob; G: Grain. |
Stems and leafs are not directly eaten by human beings, but used as corn silage, which can be eaten by livestock (Li, Wang et al. 2019). According to the feed hygiene standards (SAQSIQ 2017), the limits of As and Cd in plant feed ingredients are 4 mg kg− 1 and 1 mg kg− 1, respectively. In the corn tissues of Dongdagou and Xidagou, the Cd in feed exceeded the standard in turn, and the Cd exceeding standard rate of leaf 1 and leaf 2 of Xidagou corn were 17.65% and 14.70% respectively (Fig. 5). The over-standard rates of stem 1, stem 2, leaf 1, leaf 2, male inflorescence and husk corn in Dongdagou were 10.26%, 7.69%, 15.38%, 30.77%, 30.56% and 7.69%, respectively, and the highest exceeded the standard by 3 times. Cd pollution is serious in Dongdagou, which poses a threat to human health through the food chain. Therefore, it is necessary to strengthen the safe utilization of land and ensure the safety of feed (Zhou, Chen et al. 2018, Li, Wang et al. 2019).
3.5 Relationships between As or Cd with different maize organs.
The above research shows that the content of As and Cd in corn tissues is related to the physical -chemical properties of soil. From Table 4 we know that soil pH, SOM and others factors has a bad pearson correlation coefficient with maize organs. But the correlation between grain As or Cd and SOM showed significant positive correlation at P < 0.05. Because organic matter can provide organic chemicals substances for soil solution, and can also be used as chelating agent to improve the utilization rate of metals by plants (Vega, Covelo et al. 2004).
Table 4
Pearson correlation coefficients for metal concentrations in different corn tissues, soil metal contents and soil properties.
|
R
|
S1
|
S2
|
L1
|
L2
|
M
|
H
|
G
|
B
|
pH
|
NS
|
NS
|
NS
|
-0.567*
|
-0.497*
|
NS
|
NS
|
NS
|
NS
|
SOM
|
NS
|
NS
|
0.55*
|
NS
|
NS
|
NS
|
NS
|
0.564*
(0.479*)
|
NS
(0.58**)
|
DTPA-As
|
0.502*
(0.689**)
|
0.613**
(0.781**)
|
0.761**
(0.598**)
|
(0.495*)
|
0.554*
(0.754**)
|
0.709**
|
0.563*
(0.62**)
|
(0.524*)
|
0.495*
(0.666**)
|
DTPA-Cd
|
0.738**
(0.678**)
|
NS
|
0.66**
|
(0.503*)
|
0.572*
(0.751**)
|
0.71**
|
NS
|
(0.5*)
|
NS
|
As
|
(0.55*)
|
0.595**
(0.509*)
|
0.81**
|
NS
|
(0.641**)
|
NS
|
NS
|
0.493*
(0.757**)
|
0.458*
(0.929**)
|
Cd
|
0.472*
(0.589**)
|
0.538*
(0.755**)
|
0.521*
(0.611**)
|
(0.593**)
|
0.623**
(0.655**)
|
0.716**
|
0.674**
(0.77**)
|
NS
|
NS
|
P1
|
(0.489*)
|
NS
|
0.71**
|
NS
|
(0.694**)
|
NS
|
NS
|
0.848**
(0.616**)
|
0.593**
(0.554*)
|
P2
|
NS
|
NS
|
0.543*
|
NS
|
(0.626**)
|
NS
|
NS
|
0.633**
(0.5*)
|
NS
|
P3
|
NS
|
NS
|
0.474*
|
NS
|
(0.535*)
|
NS
|
NS
|
(0.508*)
|
NS
|
Bold represents the correlation coefficients of Cd, and the other stands for As. P1, P2 and P3 is heavy metals content in soil profile at 0-10cm, 10-20cm and 20-30cm. |
** P < 0.01. |
* P < 0.05. |
NS: not significant. |
Although the content of total As, total Cd and DTPA extracted from corn surface soil (0-20cm) are significantly related to corn root, stem 1, stem 2 and leaf 2 (P < 0.05), it only show that the migration of heavy metals from soil to corn is in the final stage from germination to maturity, and its migration rule can not be accurately expressed. Heavy metals were absorbed by maize and accumulated in the body during the whole development process. We introduced the profile soil around corn (distance = 30cm) as a control to simulate corn absorption characteristics of As and Cd during returning green stage, jointing stage, heading stage and mature stage (total 180d) (Fig. 6). We found that As and Cd in the soil layer were significantly correlated with the upper tissues such as stem 2 and leaf 2 of corn (P < 0.01) (Table 4). There is a significant correlation between 0–10 cm topsoil and the heavy metals in grains (P < 0.01), which indicates that during the growth of corn, with the development of roots system, a large number of nutrient elements and harmful heavy metals will be absorbed, and finally accumulated in the upper tissues of maize due to transportation and transpiration in plants. Therefore, the content of heavy metals in the topsoil is the key to its enrichment in corn, and the topsoil comes into contact with and absorbs elements at the earliest time during the development of maize roots.
The relationship between the content of heavy metals in grain and the content of heavy metals in soil and their physical-chemical parameters was studied by multiple regression analysis (Table 5). The results of correlation analysis (Table 4) are different from those of multiple regression analysis (Table 5). The results indicated that the absorption of As and Cd by corn grains under field conditions was mainly affected by the physiological characteristics of crops (Zang, Wang et al. 2017). However, the effects of As and Cd absorption and transportation from soil to grains are still worth further study and exploration.
Table 5
Multiple regressions between the concentration of metals in corn grains, the concentration of metals and their physico-chemical parameters in the soil.
|
Multiple regressions equation
|
R2
|
Grain
|
As = 0.086 − 0.06[pHs]-2.801[ECs]-0.104[CaCO3S] + 0.148[SOMs] + 2.732[TSs]
+ 1.168[DTPA-Ass] + 0.281[DTPA-Cds]-0.47[Ass]-1.13[Cds] + 0.619[P1s]-0.611[P2s]
+ 0.82[P3s]-0.59[P4s] + 0.193[P5s]
|
0.937**
|
Grain
|
Cd=-0.861 + 0.799[pHs] + 1.176[ECs]-0.008[CaCO3S]-0.438[SOMs]-1.114[TSs]-1.567[DTPA-Ass]
+ 0.742[DTPA-Cds] + 2.551[Ass] + 0.977[Cds] + 0.057[P1s] + 1.349[P2s]-2.293[P3s]
+ 2.667[P4s]-1.41[P5s]
|
0.942**
|
[Xs] denotes material content in soils. |
** P < 0.01. |