# Soil Assessment along Toposequences in Rural Northern Nigeria: A Geomedical Approach

Authors: Lena Hartmann; Marvin Gabriel; Yuanrong Zhou; Barbara Sponholz; Heinrich Thiemeyer
Journal: Applied and Environmental Soil Science
 (2014)

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## Abstract

Case numbers of endemic Ca-deficiency rickets (CDR) have been reported to be alarmingly rising among children of subsistence farms in developing countries within the last 30 years. Fluoride toxicities in the environment are known to not be related to the disease. To investigate if, instead, CDR is caused by a nutrient deficiency in the environment, subsistence farms in an endemic CDR area near Kaduna, northern Nigeria, were investigated for bedrock, slope forms, soil types, and soil characteristics. The natural environment was investigated according to the World Reference Base, soil texture was analysed by pipette and sieving, and plant-available macronutrients were determined using barium-chloride or Ca-acetate-lactate extraction. The analyses showed that granite and slope deposits were the dominant parent materials. The typical slope forms and soil types were Lixisols and Acrisols on pediments, Fluvisols in river valleys, and Plinthosols and Acrisols on plains. Compared with West African background values, all of the soils had normal soil textures but were low in macronutrients. Comparisons to critical limits, however, showed that only the P concentrations were critically low, which are typical for savanna soils. A link between nutrient deficiency in soils and CDR in the Kaduna area was therefore considered unlikely.


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## Body

## 1. Introduction

A high prevalence of Ca deficiency in children has been reported from rural communities southeast of Kaduna City, northern Nigeria, since the early 2000s. According to the local nongovernmental organisation Hope for the Village Child Foundation (HVCF), over 1000 children of small farms have already been registered as heavily affected by severe bone deformities in an area of 400 km2 [1]. The prevalence of Ca-deficiency rickets (CDR) in this area was calculated to be around 5.0% among toddlers and adolescents aged from 15 months to 18 years [2] (Figure 1). Medical research in the rural Kaduna CDR area revealed a clear lack of Ca in the serum of the affected children (<2.00 mmol l−1) [3–5].Figure 1
Study area and study sites.Such cases of endemic CDR are particularly common in developing countries and have been reported in rising numbers, not only from Nigeria but also from countries such as Bangladesh, South Africa, or The Gambia [6, 7]. Previous research on the cause of CDR in these countries was mostly focused on biochemical, genetic, nutritional, and socioeconomic analyses [8–11]. However, the cause of the disease is still unknown up to now [12].As CDR is often an endemic phenomenon, which is almost exclusively restricted to tropical areas, environmental conditions are currently discussed to be a predisposing factor for the CDR in developing countries. F toxicities, which are known to have caused comparable bone deformities among children living in countries such as India [13], were at first assumed to have also caused CDR. However, recent research on F concentrations in drinking water from different CDR areas in developing countries showed that the F levels in the water were too low to could have had any impact on bone strength [14].Instead, pilot studies in rural Kaduna area showed that total Ca concentrations were very low in soils and food crops [15, 16], suggesting that a lack of Ca and other nutrients might be a predisposing factor to the CDR in the Kaduna area. Such relationship between nutrient deficiencies in soils and bone deformities in humans and animals is not new and has already been described from other areas [17, 18]. To further examine the soils in the Kaduna CDR area for their plant-available Ca concentrations as well as to test the hypothesis if CDR areas are clearly impoverished in soil nutrients, environmental fieldwork was started in the Kaduna CDR area, northern Nigeria, in 2011.


## 2. Material and Methods

### 2.1. Study Area

The study area is located in northern Nigeria, southeast of Kaduna City, and covers an area of approximately 400 km2. Within this area, over 1000 children in 50 villages have been affected by CDR since the early 2000s. The average CDR prevalence rate in the Kaduna study area is 5.0%, while the exact prevalence rates differ from village to village (Figure 1).Detailed data on the environmental conditions of the Kaduna study area are limited to the Land Resource Studies, which were conducted in the 1970s by British and Nigerian scientists [26–29]. According to these studies, the area around Kaduna has a mean annual precipitation rate of 1300 mm and an average annual temperature of 25.6°C. The morphology of the Kaduna study area is characterised by inselbergs, gently undulating plains, and small river valleys. The bedrock is of Proterozoic age and belongs to the Older Granite group [26]. The soils that have developed in the Kaduna area contain high contents of silt, which originated from Holocene Harmattan-dust deposits [30, 31]. Internationally accepted soil-classification work has not yet been conducted in the area [26]. The potential natural vegetation comprises savanna trees and grassland of the Northern Guinea Savanna type. Many parts of the Kaduna study area are agriculturally used, while both food crops and cash crops are cultivated. Besides maize (Zea mays) as the staple crop, also sorghum (Sorghum bicolor), yam (Dioscorea rotundata), manioc (Manihot esculenta), tomato (Solanum lycopersicum), and plantain (Musa acuminate) are grown on a small-farm level [28].


### 2.2. Field Methods

To determine representative spots for soil analyses, field observations and excessive hand auger analyses were conducted in the entire study area. Two representative study sites, one in the southwest around the village of Kaso, the other in the northeast around the village of Panzato, were then chosen for further analyses (Figure1). In these study sites, soil profiles (n
=
16) were dug along toposequences (n
=
5). All analysed soil profiles, including A and B horizons, their respective topographical position, and the bedrock and parent materials were described according to the World Reference Base (WRB) Guidelines for Soil Description [32]. For laboratory analyses, bulk soil samples (n
=
43) were taken from the primarily plant nutrition relevant A and B horizons of each soil profile and stored in polyethylene bags for a period of one month.


### 2.3. Laboratory Analyses

The soil samples taken from the A and B horizons were analysed for texture (pipette and sieving) according to Van Reeuwijk [33] and pH values were measured in 0.1 M KCl solution by electrometric measurement with WTW E 56 combination electrode [34]. Organic carbon (OC) was determined by wet combustion, giving potassium dichromate (K2Cr2O7) and sulfuric acid (H2SO4) to the soil samples for titrimetric measurements [35] with Milton Roy spectral photometer C301. The plant-available concentrations of P were measured by spectral photometer Milton Roy C21 after adding Ca acetate lactate (C6H10CaO6) and ammonium molybdate ((NH4)2MoO4) as a colouring agent. Ca acetate lactate was also used to determine the plant-available K concentration, while the eluate was measured by atomic absorption spectroscopy (AAS) Perkin Elmer Analyst 300 [36]. The plant-available concentrations of Mg and Ca as well as the potential cation exchange capacity (CEC) and base saturation (BS) were determined by adding buffered (pH 8.1) barium chloride (BaCl2) solution to the soil samples [37] before measuring with AAS Perkin Elmer Analyst 300. According to Ciesielski and Sterckeman [38], barium-chloride extractions show similar results as ammonium-acetate extraction, meaning that our laboratory measurements on soil nutrients and CEC are appropriate for WRB soil classification.


### 2.4. Soil Classification

By combining the results of the soil description, gained during the fieldwork, with those of the laboratory analyses, all soil profiles were classified according to the WRB classification system [39].


### 2.5. Soil Assessment

Based on calculations on median, 25th percentile, 75th percentile, minimum values, maximum values, andt-tests (one-sample, one-tailed) in Microsoft Excel, the chemical characteristics of the soils, including pH values, OC contents, K, Mg, Ca, and P concentrations as well as CEC and BS were compared to West African background values and critical limits [19–25]. P values lower than 0.005 were considered to be statistically significant.


## 2.1. Study Area

The study area is located in northern Nigeria, southeast of Kaduna City, and covers an area of approximately 400 km2. Within this area, over 1000 children in 50 villages have been affected by CDR since the early 2000s. The average CDR prevalence rate in the Kaduna study area is 5.0%, while the exact prevalence rates differ from village to village (Figure 1).Detailed data on the environmental conditions of the Kaduna study area are limited to the Land Resource Studies, which were conducted in the 1970s by British and Nigerian scientists [26–29]. According to these studies, the area around Kaduna has a mean annual precipitation rate of 1300 mm and an average annual temperature of 25.6°C. The morphology of the Kaduna study area is characterised by inselbergs, gently undulating plains, and small river valleys. The bedrock is of Proterozoic age and belongs to the Older Granite group [26]. The soils that have developed in the Kaduna area contain high contents of silt, which originated from Holocene Harmattan-dust deposits [30, 31]. Internationally accepted soil-classification work has not yet been conducted in the area [26]. The potential natural vegetation comprises savanna trees and grassland of the Northern Guinea Savanna type. Many parts of the Kaduna study area are agriculturally used, while both food crops and cash crops are cultivated. Besides maize (Zea mays) as the staple crop, also sorghum (Sorghum bicolor), yam (Dioscorea rotundata), manioc (Manihot esculenta), tomato (Solanum lycopersicum), and plantain (Musa acuminate) are grown on a small-farm level [28].


## 2.2. Field Methods

To determine representative spots for soil analyses, field observations and excessive hand auger analyses were conducted in the entire study area. Two representative study sites, one in the southwest around the village of Kaso, the other in the northeast around the village of Panzato, were then chosen for further analyses (Figure1). In these study sites, soil profiles (n
=
16) were dug along toposequences (n
=
5). All analysed soil profiles, including A and B horizons, their respective topographical position, and the bedrock and parent materials were described according to the World Reference Base (WRB) Guidelines for Soil Description [32]. For laboratory analyses, bulk soil samples (n
=
43) were taken from the primarily plant nutrition relevant A and B horizons of each soil profile and stored in polyethylene bags for a period of one month.


## 2.3. Laboratory Analyses

The soil samples taken from the A and B horizons were analysed for texture (pipette and sieving) according to Van Reeuwijk [33] and pH values were measured in 0.1 M KCl solution by electrometric measurement with WTW E 56 combination electrode [34]. Organic carbon (OC) was determined by wet combustion, giving potassium dichromate (K2Cr2O7) and sulfuric acid (H2SO4) to the soil samples for titrimetric measurements [35] with Milton Roy spectral photometer C301. The plant-available concentrations of P were measured by spectral photometer Milton Roy C21 after adding Ca acetate lactate (C6H10CaO6) and ammonium molybdate ((NH4)2MoO4) as a colouring agent. Ca acetate lactate was also used to determine the plant-available K concentration, while the eluate was measured by atomic absorption spectroscopy (AAS) Perkin Elmer Analyst 300 [36]. The plant-available concentrations of Mg and Ca as well as the potential cation exchange capacity (CEC) and base saturation (BS) were determined by adding buffered (pH 8.1) barium chloride (BaCl2) solution to the soil samples [37] before measuring with AAS Perkin Elmer Analyst 300. According to Ciesielski and Sterckeman [38], barium-chloride extractions show similar results as ammonium-acetate extraction, meaning that our laboratory measurements on soil nutrients and CEC are appropriate for WRB soil classification.


## 2.4. Soil Classification

By combining the results of the soil description, gained during the fieldwork, with those of the laboratory analyses, all soil profiles were classified according to the WRB classification system [39].


## 2.5. Soil Assessment

Based on calculations on median, 25th percentile, 75th percentile, minimum values, maximum values, andt-tests (one-sample, one-tailed) in Microsoft Excel, the chemical characteristics of the soils, including pH values, OC contents, K, Mg, Ca, and P concentrations as well as CEC and BS were compared to West African background values and critical limits [19–25]. P values lower than 0.005 were considered to be statistically significant.


## 3. Results

### 3.1. Topography

Seven different morphological units were identified to be typical for the landscape of the Kaduna study area. These included inselbergs (800 m above mean sea level), upper pediments (670 m asl), lower pediments (640 m asl), river valleys (600 m asl), floodplains (550 m asl), lower plains (640 m asl), and upper plains (670 m asl). Since inselbergs and flood plains were not agriculturally used, soils found in these morphological units were not further analysed (Figure2). Based on the evaluation of a topographical map [40], the distribution percentages of the analysed morphological units in the Kaduna study area, including upper pediment, lower pediment, river valley, lower plain, and upper plain positions, were estimated to be around 10%, 30%, 20%, 30%, and 10%, respectively.pH values, OC contents, Ca, Mg, K, and P concentrations as well as BS and CEC in soils of the Kaduna study area compared to West African background levels and critical limits. Boxplot diagrams show chemical characteristics of the Kaduna study area soils that have developed on upper pediments, lower pediments, river valleys, lower plains, and upper plains, respectively. Dotted lines represent West African background values, while solid lines show the critical limits both as given by Jones and Wild [19], Landon [20], Vanlauwe et al. [21], Raji et al. [22], Agbenin and Yakubu [23], Esu and Ojanuga [24], and Valette and Ibanga [25]. Grey P values indicate statistically significant differences between the pH, OC, Ca, Mg, K, P, BS, and CEC of the soils in the Kaduna study area and the West African background values. Black P values indicate statistically significant differences between the Kaduna soil fertility parameters and the critical limits.
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)


### 3.2. Parent Material

In two different areas around the villages of Kaso and Panzato, the parent materials of soil formation were determined in soil profiles. Accordingly, the two study sites were found to be underlain by granites, which were again covered by grus slope deposits in the upper pediment positions, grus slope deposits and river deposits in the lower pediment positions, river deposits in the river valleys, pisolite slope deposits and river deposits in the lower plain positions, and pisolite slope deposits in the upper plain positions (Table1). Based on hand auger analyses, which were conducted in the entire study area before, grus slope deposits, pisolite slope deposits, and river deposits were the dominant parent materials for soil formation in the entire rural Kaduna area, covering around 30%, 30%, and 40% of the landscape.Table 1
Physical soil characteristics of the soils in the Kaduna study area.
Morphological unit
Parent material
Soil type
Horizon
Depth (cm)
Sand (2000–63μm)
Silt (63–2μm)
Clay (<2μm)
(%)
(%)
(%)
Upper pediment
Grus slope deposits
Haplic Lixisols(chromic)
Ap
0–5
55
31
14
Bt*
5–55
37
22
41
2Btw
55+
31
30
39
Haplic Lixisols(colluvic)
Ap
0–20
65
24
11
2Btw*
20–50
39
23
38
2Bwo
50+
45
20
35
Haplic Lixisols
Ap
0–10
62
25
13
Bt*
10+
51
22
27
Lower pediment
Grus slope deposits and river deposits
Haplic Acrisols(arenic)
Ap
0–15
61
30
9
Bo
15–30
56
25
19
Bto*
30–50
41
27
32
2Bo
50+
37
32
31
Haplic Acrisols
Ap
0–10
27
46
27
Bto*
10–45
16
39
45
Bwo
45+
16
40
44
Haplic Acrisols(arenic)
Ap
0–10
58
36
6
Bl
10–30
61
33
6
Bt*
30–80
44
27
29
2Bt
80+
41
28
31
River valley
River deposits
Gleyic Fluvisols(dystric, siltic)
Ap
0–20
13
62
25
Bsg*
20–60+
15
62
23
Gleyic Fluvisols(dystric, siltic)
Ap
0–15
25
44
31
Bog*
15–45+
13
63
24
Haplic Fluvisols(arenic)
Ap
0–20
58
29
13
Bg
20–35
52
33
15
2Bsg*
35–80+
60
20
20
Lower plain
Pisolite slope deposits and river deposits
Pisoplinthic Acrisols(chromic)
Ap
0–15
31
46
23
Bto*
15–45
20
37
43
2Bwo
45–55+
18
40
42
Gleyic Acrisols(siltic)
Ap
0–15
19
62
19
Bto*
15–25
20
62
18
Pisoplinthic Acrisols(chromic)
Ahc
0–10
29
42
29
Bto*
10–30
28
38
34
2Bw
30–60+
22
32
46
Upper plain
Pisolite slope deposits
Haplic Plinthosols(dystric)
Ap
0–15
43
24
33
Bv*
15–30
43
35
22
Haplic Plinthosols(hyperdystric, clayic)
Ahc
0–5
21
37
42
Btv*
5–30
18
31
51
Bov
30–80
21
31
48
*Diagnostic horizons.


### 3.3. Physical Soil Characteristics

The soils of the study area were characterised by sandy or loamy subsoil horizons in most positions. Silt contents increased with depth, sometimes reaching up to 60%. Depending on the topographical position of the soil profiles, the mean depth of the soils differed. Soils on the upper pediments, lower pediments, river valleys, lower plains, and upper plains had mean soil depths of +40 cm, +60 cm, +60 cm, 50 cm, and 55 cm, respectively (Table1).


### 3.4. Chemical Soil Characteristics

The soils of the study area were acidic, with pH values ranging from 4 to 5. The concentrations of OC were always lower than 1.3% and were highest in the A horizons. The plant-available soil nutrients were present in the order Ca > Mg > K > P. The Ca concentrations were between 0.4 and 5.6 cmol kg−1, the Mg concentrations were between 0.0 and 1.6 cmol kg−1, the K concentrations ranged between 0.0 and 0.4 cmol kg−1, and the P concentrations were between 0.0 and 8.0 mg kg−1. The concentrations of Ca, Mg, and K increased with depth in the pediment soils but decreased with depth in the river valley and plain soils. The P concentrations decreased with depth in all the soils. The BS was between 5.2 and 65.8% and decreased with depth in all the soils. The CEC ranged between 2.9 and 13.5 cmol kg−1. A clear increase of CEC with depth was found in all the soils (Table 2).Table 2
Chemical soil characteristics of the soils of the study area.
Morphological unit
Soil type
Horizon
pH
OC
Ca
Mg
K
P
CEC
BS
%
Cmol kg−1
mg kg−1
cmol kg−1
%
Upper pediment
Haplic Lixisols(chromic)
Ap
6.0
0.8
2.8
0.9
0.3
3.0
6.7
62.9
Bt*
4.9
0.2
3.7
1.6
0.2
0.0
11.1
50.4
2Btw
4.8
0.1
2.7
0.8
0.3
0.0
8.0
50.3
Haplic Lixisols (colluvic)
Ap
5.3
1.0
3.1
0.5
0.2
2.0
6.4
60.7
2Btw*
4.8
0.5
5.3
1.4
0.1
0.0
11.9
57.9
2Bwo
4.7
0.2
3.7
1.0
0.4
0.0
10.1
50.7
Haplic Lixisols
Ap
5.6
0.7
4.7
0.8
0.3
8.0
9.8
59.1
Bt*
5.2
0.7
5.6
1.2
0.1
4.0
12.5
56.0
Lower pediment
Haplic Acrisols(arenic)
Ap
5.7
1.0
1.3
0.2
0.1
2.0
5.3
62.3
Bo
4.4
0.4
1.7
0.4
0.1
1.0
4.1
38.6
Bto*
4.2
0.5
1.4
0.6
0.1
1.0
8.2
26.6
2Bo
4.7
0.1
4.0
1.6
0.1
0.0
7.9
27.2
Haplic Acrisols
Ap
5.9
1.2
2.8
0.9
0.2
3.0
12.9
61.2
Bto*
4.1
0.6
3.4
1.3
0.4
1.0
13.2
31.6
Bwo
4.7
0.4
2.9
0.3
0.4
1.0
12.5
44.3
Haplic Acrisols(arenic)
Ap
5.6
0.7
1.2
0.5
0.2
1.0
7.4
46.3
Bl
5.4
0.3
1.9
1.0
0.1
1.0
2.9
65.8
Bt*
4.9
0.3
2.1
0.5
0.4
0.0
8.3
40.0
2Bt
4.7
0.1
4.7
0.6
0.3
0.0
8.0
37.3
River valley
Gleyic Fluvisols(dystric, siltic)
Ap
4.0
1.0
0.9
0.4
0.0
2.0
8.8
19.3
Bsg*
4.2
0.4
1.7
0.4
0.1
2.0
11.1
26.6
Gleyic Fluvisols(dystric, siltic)
Ap
5.1
0.4
2.3
1.0
0.1
1.0
8.4
40.5
Bog*
4.6
0.7
2.2
0.7
0.0
2.0
8.5
35.5
Gleyic Fluvisols(arenic)
Ap
4.0
0.6
1.5
0.2
0.1
2.0
6.8
26.9
Bg
4.3
0.3
1.6
0.3
0.1
5.0
5.5
36.0
2Bsg*
4.8
0.2
2.5
0.4
0.1
0.0
6.1
50.6
Lower plain
Pisoplinthic Acrisols(chromic)
Ap
4.7
1.2
2.9
0.7
0.1
2.0
9.8
38.5
Bto*
4.3
0.5
2.7
0.7
0.1
1.0
11.0
32.1
2Bwo
4.2
0.4
1.6
0.4
0.1
1.0
9.6
21.8
Gleyic Acrisols(siltic)
Ap
4.2
0.8
1.9
0.6
0.0
4.0
9.6
26.9
Bto*
4.3
0.7
1.8
0.7
0.0
3.0
8.0
31.6
Pisoplinthic Acrisols(chromic)
Ahc
5.0
1.1
3.7
0.9
0.1
1.0
12.5
38.0
Bto*
4.2
0.4
2.5
0.4
0.0
0.0
9.7
30.5
2Bw
4.0
0.3
1.9
0.4
0.0
0.0
10.3
22.7
Upper plain
Haplic Plinthosols(dystric)
Ap
4.7
1.2
2.4
0.6
0.1
3.0
9.1
34.1
Bv*
4.2
0.8
1.3
0.2
0.0
1.0
8.5
17.9
Haplic Plinthosols(hyperdystric, clayic)
Ahc
4.2
1.3
2.5
0.7
0.2
1.0
13.5
26.2
Btv*
4.0
0.4
0.9
0.1
0.0
5.0
12.0
6.3
Bov
4.0
0.4
0.4
0.0
0.2
0.0
12.1
5.2
*Diagnostic horizons.


### 3.5. Soil Classification

Depending on topography and parent materials, five main soil types were identified in the Kaduna study area. On the upper pediments, where slopes ranged between 1° and 3°, soils had argic horizons, developed on grus slope deposits, a BS average above 50% as well as a high CEC, and were thus classified as Lixisols. On the lower pediments, which had slopes between 1° and 4°, grus slope deposits and river deposits were the main parent materials of soil formation. In these positions, soils always had a diagnostic argic horizon with a BS averagely lower than 50%, a high CEC, and were thus classified as Acrisols. In the river valleys, where slopes were lower than 1°, river deposits were the dominant parent material. Where soils were influenced by groundwater, soils were classified as Fluvisols. On the lower plains, which had slopes between 1° and 2°, soils had developed in pisolite slope deposits and river deposits. With diagnostic argic horizons and a typically low BS, soils were classified as Pisoplinthic Acrisols. Only where the groundwater conditions were increasing, soils were classified as Gleyic Acrisols. On the upper plain, where slopes were lower than 1°, soils had developed on pisolites slope deposits. These soils were classified as Plinthosols. Assuming that the differences in the soil type were consistently caused by differences in morphology and parent material, the distribution percentages of Lixisols, Acrisols, Fluvisols, and Plinthosols were estimated to be around 10%, 60%, 20%, and 10%, respectively, in the Kaduna study area.


### 3.6. Soil Assessment

To evaluate the fertility of the soils in the Kaduna study area, all chemical characteristics measured in the soils were compared to West African background values as given by Jones and Wild [19], Landon [20], Vanlauwe et al. [21], Raji et al. [22], Agbenin and Yakubu [23], Esu and Ojanuga [24], and Valette and Ibanga [25]. According to these comparisons, only the pH values of the soils in the Kaduna study area were higher than the West African background. All the other parameters, including OC contents, Ca, Mg, K, and P concentrations, and BS and CEC, were lower than the West African background values. In some positions and soils, the difference to the West African background values even was of statistical significance. In the pediment soils, OC contents, Mg and P concentrations, and CEC were significantly lower than the West African background values, in the river valley soils, OC contents, Ca, Mg, and K concentrations, and CEC were significantly lower than the West African background value, and in the plain soils, Mg and K concentrations as well as CEC and BS were significantly lower than the West African background values (Figure 2).Compared to critical limits as given by the same authors [19–25], however, only the plant-available P concentrations were significantly low, especially in the soils which had developed in the lower pediment, river valley, and lower plain positions. All the other parameters, including OC contents, Ca, Mg, and K concentrations, and BS and CEC were found to be high enough in all the soils to ensure a healthy development of the most common crops (Figure 2).


## 3.1. Topography

Seven different morphological units were identified to be typical for the landscape of the Kaduna study area. These included inselbergs (800 m above mean sea level), upper pediments (670 m asl), lower pediments (640 m asl), river valleys (600 m asl), floodplains (550 m asl), lower plains (640 m asl), and upper plains (670 m asl). Since inselbergs and flood plains were not agriculturally used, soils found in these morphological units were not further analysed (Figure2). Based on the evaluation of a topographical map [40], the distribution percentages of the analysed morphological units in the Kaduna study area, including upper pediment, lower pediment, river valley, lower plain, and upper plain positions, were estimated to be around 10%, 30%, 20%, 30%, and 10%, respectively.pH values, OC contents, Ca, Mg, K, and P concentrations as well as BS and CEC in soils of the Kaduna study area compared to West African background levels and critical limits. Boxplot diagrams show chemical characteristics of the Kaduna study area soils that have developed on upper pediments, lower pediments, river valleys, lower plains, and upper plains, respectively. Dotted lines represent West African background values, while solid lines show the critical limits both as given by Jones and Wild [19], Landon [20], Vanlauwe et al. [21], Raji et al. [22], Agbenin and Yakubu [23], Esu and Ojanuga [24], and Valette and Ibanga [25]. Grey P values indicate statistically significant differences between the pH, OC, Ca, Mg, K, P, BS, and CEC of the soils in the Kaduna study area and the West African background values. Black P values indicate statistically significant differences between the Kaduna soil fertility parameters and the critical limits.
(a)
(b)
(c)
(d)
(e)
(f)
(g)
(h)


## 3.2. Parent Material

In two different areas around the villages of Kaso and Panzato, the parent materials of soil formation were determined in soil profiles. Accordingly, the two study sites were found to be underlain by granites, which were again covered by grus slope deposits in the upper pediment positions, grus slope deposits and river deposits in the lower pediment positions, river deposits in the river valleys, pisolite slope deposits and river deposits in the lower plain positions, and pisolite slope deposits in the upper plain positions (Table1). Based on hand auger analyses, which were conducted in the entire study area before, grus slope deposits, pisolite slope deposits, and river deposits were the dominant parent materials for soil formation in the entire rural Kaduna area, covering around 30%, 30%, and 40% of the landscape.Table 1
Physical soil characteristics of the soils in the Kaduna study area.
Morphological unit
Parent material
Soil type
Horizon
Depth (cm)
Sand (2000–63μm)
Silt (63–2μm)
Clay (<2μm)
(%)
(%)
(%)
Upper pediment
Grus slope deposits
Haplic Lixisols(chromic)
Ap
0–5
55
31
14
Bt*
5–55
37
22
41
2Btw
55+
31
30
39
Haplic Lixisols(colluvic)
Ap
0–20
65
24
11
2Btw*
20–50
39
23
38
2Bwo
50+
45
20
35
Haplic Lixisols
Ap
0–10
62
25
13
Bt*
10+
51
22
27
Lower pediment
Grus slope deposits and river deposits
Haplic Acrisols(arenic)
Ap
0–15
61
30
9
Bo
15–30
56
25
19
Bto*
30–50
41
27
32
2Bo
50+
37
32
31
Haplic Acrisols
Ap
0–10
27
46
27
Bto*
10–45
16
39
45
Bwo
45+
16
40
44
Haplic Acrisols(arenic)
Ap
0–10
58
36
6
Bl
10–30
61
33
6
Bt*
30–80
44
27
29
2Bt
80+
41
28
31
River valley
River deposits
Gleyic Fluvisols(dystric, siltic)
Ap
0–20
13
62
25
Bsg*
20–60+
15
62
23
Gleyic Fluvisols(dystric, siltic)
Ap
0–15
25
44
31
Bog*
15–45+
13
63
24
Haplic Fluvisols(arenic)
Ap
0–20
58
29
13
Bg
20–35
52
33
15
2Bsg*
35–80+
60
20
20
Lower plain
Pisolite slope deposits and river deposits
Pisoplinthic Acrisols(chromic)
Ap
0–15
31
46
23
Bto*
15–45
20
37
43
2Bwo
45–55+
18
40
42
Gleyic Acrisols(siltic)
Ap
0–15
19
62
19
Bto*
15–25
20
62
18
Pisoplinthic Acrisols(chromic)
Ahc
0–10
29
42
29
Bto*
10–30
28
38
34
2Bw
30–60+
22
32
46
Upper plain
Pisolite slope deposits
Haplic Plinthosols(dystric)
Ap
0–15
43
24
33
Bv*
15–30
43
35
22
Haplic Plinthosols(hyperdystric, clayic)
Ahc
0–5
21
37
42
Btv*
5–30
18
31
51
Bov
30–80
21
31
48
*Diagnostic horizons.


## 3.3. Physical Soil Characteristics

The soils of the study area were characterised by sandy or loamy subsoil horizons in most positions. Silt contents increased with depth, sometimes reaching up to 60%. Depending on the topographical position of the soil profiles, the mean depth of the soils differed. Soils on the upper pediments, lower pediments, river valleys, lower plains, and upper plains had mean soil depths of +40 cm, +60 cm, +60 cm, 50 cm, and 55 cm, respectively (Table1).


## 3.4. Chemical Soil Characteristics

The soils of the study area were acidic, with pH values ranging from 4 to 5. The concentrations of OC were always lower than 1.3% and were highest in the A horizons. The plant-available soil nutrients were present in the order Ca > Mg > K > P. The Ca concentrations were between 0.4 and 5.6 cmol kg−1, the Mg concentrations were between 0.0 and 1.6 cmol kg−1, the K concentrations ranged between 0.0 and 0.4 cmol kg−1, and the P concentrations were between 0.0 and 8.0 mg kg−1. The concentrations of Ca, Mg, and K increased with depth in the pediment soils but decreased with depth in the river valley and plain soils. The P concentrations decreased with depth in all the soils. The BS was between 5.2 and 65.8% and decreased with depth in all the soils. The CEC ranged between 2.9 and 13.5 cmol kg−1. A clear increase of CEC with depth was found in all the soils (Table 2).Table 2
Chemical soil characteristics of the soils of the study area.
Morphological unit
Soil type
Horizon
pH
OC
Ca
Mg
K
P
CEC
BS
%
Cmol kg−1
mg kg−1
cmol kg−1
%
Upper pediment
Haplic Lixisols(chromic)
Ap
6.0
0.8
2.8
0.9
0.3
3.0
6.7
62.9
Bt*
4.9
0.2
3.7
1.6
0.2
0.0
11.1
50.4
2Btw
4.8
0.1
2.7
0.8
0.3
0.0
8.0
50.3
Haplic Lixisols (colluvic)
Ap
5.3
1.0
3.1
0.5
0.2
2.0
6.4
60.7
2Btw*
4.8
0.5
5.3
1.4
0.1
0.0
11.9
57.9
2Bwo
4.7
0.2
3.7
1.0
0.4
0.0
10.1
50.7
Haplic Lixisols
Ap
5.6
0.7
4.7
0.8
0.3
8.0
9.8
59.1
Bt*
5.2
0.7
5.6
1.2
0.1
4.0
12.5
56.0
Lower pediment
Haplic Acrisols(arenic)
Ap
5.7
1.0
1.3
0.2
0.1
2.0
5.3
62.3
Bo
4.4
0.4
1.7
0.4
0.1
1.0
4.1
38.6
Bto*
4.2
0.5
1.4
0.6
0.1
1.0
8.2
26.6
2Bo
4.7
0.1
4.0
1.6
0.1
0.0
7.9
27.2
Haplic Acrisols
Ap
5.9
1.2
2.8
0.9
0.2
3.0
12.9
61.2
Bto*
4.1
0.6
3.4
1.3
0.4
1.0
13.2
31.6
Bwo
4.7
0.4
2.9
0.3
0.4
1.0
12.5
44.3
Haplic Acrisols(arenic)
Ap
5.6
0.7
1.2
0.5
0.2
1.0
7.4
46.3
Bl
5.4
0.3
1.9
1.0
0.1
1.0
2.9
65.8
Bt*
4.9
0.3
2.1
0.5
0.4
0.0
8.3
40.0
2Bt
4.7
0.1
4.7
0.6
0.3
0.0
8.0
37.3
River valley
Gleyic Fluvisols(dystric, siltic)
Ap
4.0
1.0
0.9
0.4
0.0
2.0
8.8
19.3
Bsg*
4.2
0.4
1.7
0.4
0.1
2.0
11.1
26.6
Gleyic Fluvisols(dystric, siltic)
Ap
5.1
0.4
2.3
1.0
0.1
1.0
8.4
40.5
Bog*
4.6
0.7
2.2
0.7
0.0
2.0
8.5
35.5
Gleyic Fluvisols(arenic)
Ap
4.0
0.6
1.5
0.2
0.1
2.0
6.8
26.9
Bg
4.3
0.3
1.6
0.3
0.1
5.0
5.5
36.0
2Bsg*
4.8
0.2
2.5
0.4
0.1
0.0
6.1
50.6
Lower plain
Pisoplinthic Acrisols(chromic)
Ap
4.7
1.2
2.9
0.7
0.1
2.0
9.8
38.5
Bto*
4.3
0.5
2.7
0.7
0.1
1.0
11.0
32.1
2Bwo
4.2
0.4
1.6
0.4
0.1
1.0
9.6
21.8
Gleyic Acrisols(siltic)
Ap
4.2
0.8
1.9
0.6
0.0
4.0
9.6
26.9
Bto*
4.3
0.7
1.8
0.7
0.0
3.0
8.0
31.6
Pisoplinthic Acrisols(chromic)
Ahc
5.0
1.1
3.7
0.9
0.1
1.0
12.5
38.0
Bto*
4.2
0.4
2.5
0.4
0.0
0.0
9.7
30.5
2Bw
4.0
0.3
1.9
0.4
0.0
0.0
10.3
22.7
Upper plain
Haplic Plinthosols(dystric)
Ap
4.7
1.2
2.4
0.6
0.1
3.0
9.1
34.1
Bv*
4.2
0.8
1.3
0.2
0.0
1.0
8.5
17.9
Haplic Plinthosols(hyperdystric, clayic)
Ahc
4.2
1.3
2.5
0.7
0.2
1.0
13.5
26.2
Btv*
4.0
0.4
0.9
0.1
0.0
5.0
12.0
6.3
Bov
4.0
0.4
0.4
0.0
0.2
0.0
12.1
5.2
*Diagnostic horizons.


## 3.5. Soil Classification

Depending on topography and parent materials, five main soil types were identified in the Kaduna study area. On the upper pediments, where slopes ranged between 1° and 3°, soils had argic horizons, developed on grus slope deposits, a BS average above 50% as well as a high CEC, and were thus classified as Lixisols. On the lower pediments, which had slopes between 1° and 4°, grus slope deposits and river deposits were the main parent materials of soil formation. In these positions, soils always had a diagnostic argic horizon with a BS averagely lower than 50%, a high CEC, and were thus classified as Acrisols. In the river valleys, where slopes were lower than 1°, river deposits were the dominant parent material. Where soils were influenced by groundwater, soils were classified as Fluvisols. On the lower plains, which had slopes between 1° and 2°, soils had developed in pisolite slope deposits and river deposits. With diagnostic argic horizons and a typically low BS, soils were classified as Pisoplinthic Acrisols. Only where the groundwater conditions were increasing, soils were classified as Gleyic Acrisols. On the upper plain, where slopes were lower than 1°, soils had developed on pisolites slope deposits. These soils were classified as Plinthosols. Assuming that the differences in the soil type were consistently caused by differences in morphology and parent material, the distribution percentages of Lixisols, Acrisols, Fluvisols, and Plinthosols were estimated to be around 10%, 60%, 20%, and 10%, respectively, in the Kaduna study area.


## 3.6. Soil Assessment

To evaluate the fertility of the soils in the Kaduna study area, all chemical characteristics measured in the soils were compared to West African background values as given by Jones and Wild [19], Landon [20], Vanlauwe et al. [21], Raji et al. [22], Agbenin and Yakubu [23], Esu and Ojanuga [24], and Valette and Ibanga [25]. According to these comparisons, only the pH values of the soils in the Kaduna study area were higher than the West African background. All the other parameters, including OC contents, Ca, Mg, K, and P concentrations, and BS and CEC, were lower than the West African background values. In some positions and soils, the difference to the West African background values even was of statistical significance. In the pediment soils, OC contents, Mg and P concentrations, and CEC were significantly lower than the West African background values, in the river valley soils, OC contents, Ca, Mg, and K concentrations, and CEC were significantly lower than the West African background value, and in the plain soils, Mg and K concentrations as well as CEC and BS were significantly lower than the West African background values (Figure 2).Compared to critical limits as given by the same authors [19–25], however, only the plant-available P concentrations were significantly low, especially in the soils which had developed in the lower pediment, river valley, and lower plain positions. All the other parameters, including OC contents, Ca, Mg, and K concentrations, and BS and CEC were found to be high enough in all the soils to ensure a healthy development of the most common crops (Figure 2).


## 4. Discussion

The herein presented study was conducted to analyse a possible relationship between endemic cases of CDR in small farmer children living near Kaduna City and a Ca or nutrient deficiency in the soils of this area. The analyses showed that the typical soil types in the study area were Lixisols on grus slope deposits in the upper pediment positions, Acrisols on grus slope deposits and river deposits in the lower pediment positions, Fluvisols on river deposits in the river valleys, Pisoplinthic Acrisols on pisolite slope deposits and river deposits in the lower plains, and Plinthosols on pisolite slope deposits in the upper plains. The distribution of these soils was estimated to be approximately 10%, 60%, 20%, and 10%, respectively, in the Kaduna study area. According to Møberg and Esu [41], Vanlauwe et al. [21], and Raji et al. [22], such soil types are quite typical for West Africa as well as regions north of the Kaduna study area, where no cases of CDR have been reported up to now [8, 10].Apart from the soil types and their distributions, the physical characteristics of the soils in the Kaduna study area were analysed. The soils in this area were found to have a mean thickness of 50 cm and tended to have sandy to loamy topsoil, loamy subsoil, and remarkably high contents of silt in almost all the analysed horizons. According to Bennett [30], Bennett et al. [26], and Jones and Wild [19], such textures are typical for soils in West Africa as well as in regions north of the study area and are thus not restricted to CDR areas only.An assessment of the soils based on the statistical comparison with the West African background values showed that the soils of the Kaduna study area have low concentrations of plant-available macronutrients, a low BS and a low CEC. The lowest concentrations of these parameters were often found in the soils that had developed in the river valleys or the plains. Only the pH values were higher in the soils of the Kaduna study area than other soils that are typically found in West Africa [19–25].According to Schulin et al. [42], high pH values are known to inhibit micronutrient availability. Since a lack of micronutrients is known to cause hidden hunger and is even discussed to be a possible cause of CDR [43–46], the high pH values might be interpreted as an indicator of micronutrient deficiency in the soils of the Kaduna study area. Further analyses should be conducted on the plant-available concentrations of micronutrients in soils and food crops to check their relationship to the CDR in the Kaduna study area.Apart from the pH levels, K concentrations were found to be significantly lower in the soils of the river valleys and plains than the West African background values. These deficiencies might be caused by the low K concentrations in the pisolites, which serve as the parent materials of soil formation in these positions. In the pediment’s soils, where granites containing K-bearing minerals, such as mica, formed the bedrock [16, 26], K was found to be abundant. However, a link between K deficiency in soil and impaired bone mineralisation in children can generally be ruled out since K deficiency is not known to have any influence on bone structure [43].Apart from the K concentrations, also the P concentrations were found to be significantly lower than the West African background values and in some positions were even lower than the critical limits. According to the analyses by Bakare-Odunola et al. [15], not only the soils but also the food crops that are cultivated in the Kaduna study area have low P contents. However, P contents in food crops are crucial for bone strength only when P contents are significantly elevated but not when the P contents are significantly decreased. Such interactions between P oversupply and a weakened bone structure are especially found in combination with low dietary Ca intake [45]. P deficiencies, on the other hand, are common throughout many savanna regions and are not restricted to CDR areas only [19, 20]. As a result, P deficiency found in the soils and crops of the Kaduna study area was assumed not to be a predisposing factor for the CDR in this region.


## 5. Conclusions

The herein presented study was conducted to analyse the relationship between Ca deficiency in CDR children of small farms in rural areas southeast of Kaduna City, northern Nigeria, and a lack of Ca and other nutrients in the soils of this area. Analyses on the environmental conditions of the endemic CDR area near Kaduna City showed that the area is underlain by granites which are again covered by different slope deposits. The main soil types in the Kaduna study area were Lixisols, Acrisols, Plinthosols, and Fluvisols, which are the typical soil types of the West African savanna. Compared to West African background values, the soils in the Kaduna study area had high pH values but had low OC contents, were low in Ca, Mg, K, and P, and had a low CEC and BS. The soils that had developed in the river valleys and on the plains had the lowest soil fertility. Compared to critical limits, however, the plant-available amounts of the macronutrients were found to be sufficient for healthy crop growth, except that the P concentrations were critically low. However, since P deficiency is found in many parts of the West African savanna and is not restricted to CDR areas and there are no known influences of P deficiency on human bone strength, a link between P deficiency in soils and CDR in human was considered unlikely. Further analyses should take the measurement of micronutrient concentrations in the soils of CDR areas into consideration and should also examine their contents in the local food crops.



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*Source: 628024-2014-03-27.xml*