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Discoveries in Agriculture and Food Sciences - Vol. 12, No. 1

Publication Date: February 25, 2024

DOI:10.14738/dafs.121.16511.

Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various

Previous Soil Histories in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

Services for Science and Education – United Kingdom

Qualities of Soil Upper Layers Under Rubber Plantation and

Various Previous Soil Histories in Zépréguhé (Daloa, west-central

Côte d'Ivoire)

Lacina Yéo

University Jean Lorougnon Guédé Daloa, UFR Agroforestry,

Agrovalorisation Laboratory, BP 150 Daloa (Côte d’Ivoire)

Mekapeu Grace Tokapieu

University Jean Lorougnon Guédé Daloa, UFR Agroforestry,

Agrovalorisation Laboratory, BP 150 Daloa (Côte d’Ivoire)

Dogniméton Soro et Ambéyin Touré

University Jean Lorougnon Guédé Daloa, UFR Agroforestry,

Agrovalorisation Laboratory, BP 150 Daloa (Côte d’Ivoire)

ABSTRACT

This study focused on the diagnosis of soil fertility in Zépréguhé, a village located 8

km from Daloa in the center-west of Côte d'Ivoire. Four soil pits were planted

according to a toposequence oriented West-East under rubber and under previous

cultivation. All the pits have been described and soil samples in the 0-30 cm horizon

have been analysed at the plant and soil analysis laboratory of the Institute National

Polytechnique Félix Houphouet-Boigny in Yamoussoukro. The particle size, the

organic matter and the characteristics of the adsorbent complex were determined.

It emerges from this description and analysis that all soils in the study area are

ferralsols. The values obtained were compared to the critical thresholds in order to

determine the level of soil fertility. The results show that these soils, which appear

to be rich in organic matter, were really low in organic matter and very low in

acidity over the entire toposequence. Due to the crops in place, the upper slope and

Upper mid-slope positions accumulate badly decomposed organic matter.

Furthermore, the cation exchange capacity (CEC) is normal at the upper slope and

upper mid-slope and very low at the bottom of the slope. The sum of exchangeable

bases is small at the level of all the profiles. The soils of the study site have a low to

moderate level of fertility. Rubber and sorghum crops have better soil fertility and

particularly organic matter.

Keywords: Fertility, ferralsols, crop precedent, toposequence, Daloa, Côte d’Ivoire.

INTRODUCTION

In sub-Saharan Africa, population growth has led to an increase in food demand. Intensive

agriculture and the search for new fertile land result in pressure on the ecosystem, which, in

turn, leads to reduced soil fertility [1-2]. In most countries, soils have low fertility and exported

nutrients are not adequately replaced. Moreover, the practice of long-term fallow is tending to

disappear, giving way to short-term fallow and settled agriculture [3-4]. As a result, yields are

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

relatively low and land productivity decreases ([5-3]. Since soil is therefore the basis of all

agricultural production, knowledge of its physical and chemical potential is important for crop

development [6] For cultivated soils, the distribution of organic matter is likely to vary greatly

[7]. Such heterogeneity is a limiting factor in the proper match between the characteristics of

the soil and the doses of fertilizers to be applied to an agricultural plot. There is therefore an

interest in increasing and enhancing knowledge of soils, particularly for agricultural issues that

are ever increasing [8]. Thus, knowledge and mastery of the physical and chemical properties

of the soil are a prerequisite for good practice However, few people in West Africa and

especially in Côte d'Ivoire determine the soil fertility potential of their farm before its

development. If, according to the farmers, certain indicators make it possible to make a

diagnosis of fertility such as plants and animals that are indicators of soil fertility and the

biophysical state of the plot [10], these prove to be insufficient and often unreliable. to

determine the fertility potential of the soil. It is then necessary to resort to soil analysis in order

to specify the agricultural potential of its soil before its development [6].

The soils of the study area being moderately to strongly desaturated ferralitic soils (ferralsols)

are exposed to a rapid loss of their fertility potential [11]. Thus, the hypothesis underlying this

study is that soils under perennial cultivation would limit the loss of fertility less than those

under annual or seasonal cultivation.

The general objective of this study is to compare the level of soil fertility under perennial and

annual crops in Zépréguhé.

Specifically, it was a question of evaluating the physico-chemical characteristics of the surface

horizons of the soils under rubber and under different cropping precedents and deducing the

fertility of these soils.

MATERIALS AND METHODS

Location of the Study Site

The study was carried out in Zépreguhé (6°54'13''N and 6°21'51''W) 8 km from Daloa in the

Center-West of Côte d'Ivoire (Figure 1). The department of Daloa is characterized by a tropical

climate, with a very hot and dry period from November-March and a rainy period from April- October. Chromoleana and Imperata are the dominant grasses. The site has low slopes.

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Discoveries in Agriculture and Food Sciences (DAFS) Vol 12, Issue 1, February- 2024

Services for Science and Education – United Kingdom

Figure 1: Study area and plot location

Methods

Morpho-Pedological Characterization of the Soil:

Four cultural pits were opened on a toposequence oriented West – East starting from the

rubber plot, near the village in the lowlands (market gardening site). Each profile was identified

by its topographic position (HV: upper slope; MVinf: lower mid-slope, MVsup: upper mid-slope

and BP: lower slope). These soil pits have been described horizon after horizon. The

classification used is that of [12].

The characterization of the profiles took into account:

• the useful depth of the soil and the thickness of the layers were made by direct

measurement with a tape and by observation;

• the soil colour was determined using the Munsell code;

• the texture was made by observation in the field using the coil and ring method;

• the structure was determined by observing the organization and arrangement of soil

aggregates;

• the porosity was determined by observing the aggregates;

• biological activity was assessed by visual observation of the quality and number of roots

as well as microorganisms;

• the load of coarse elements was evaluated using the Munsell code;

• the organic matter content was assessed by visual observation;

• the humidity was assessed by direct visual observation of the horizons.

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

Physic-Chemical Characterization of the Soil:

Soil samples were taken at the end of each profile description in the horizons encountered in

the first 30 cm of the soil for laboratory analysis. Thus, 8 (two per horizon) soil samples were

taken and analysed in the laboratory. All the analysis were carried out at the plant and soil

analysis laboratory of the National Polytechnic Institute Félix Houphouet-Boigny in

Yamoussoukro. The parameters analysed are:

• The particle size is determined by the densiometric method using the Robinson pipette

[13]. This method consists in separating the soil particles according to their dimensions.

It allows to know in a weight form, the distribution of mineral particles of less than 2

mm in diameter according to different textural classes.

• The water pH of soil samples is measured by direct reading with a pH meter according

to a soil/distilled water ratio of 1:2.5 after shaking the suspension [14-15].

Organic carbon was determined after calcination of soil samples in a muffle furnace according

to the method of [16]. This determination was made by the method of cold sulfochromic attack

after oxidation with potassium dichromate (K2Cr2O7) in a strongly acid medium (H2SO4). The

determination of the carbon rate made it possible to calculate the organic matter (OM) content:

OM = C × 1.724 ............................................................... (1)

Where,

• OM: Organic matter content (%)

• C: Organic carbon content (%).

Nitrogen is measured using the Kjeldahl method [17]. Mineralization consists of the

transformation of organic nitrogen into a mineral form (ammonium sulphate) in a concentrated

medium [sulfuric acid (H2SO4)], in the presence of a catalyst. Distillation allows the

transformation of (NH4)2SO4 into NH4OH in the presence of an excess of sodium hydroxide

which alkalinizes the reaction medium. The solution obtained is distilled, then the ammonium

is recovered in a solution of boric acid which has been titrated using a solution of sulfuric acid.

The assimilable phosphorus was determined according to the modified Olsen method [18] and

the total phosphorus by colorimetry after extraction with perchloric acid [19]. The

exchangeable bases (Na+, K+, Ca2+, Mg2+) were extracted with 1 M ammonium acetate buffered

at pH=7. Calcium and magnesium were quantified by atomic absorption spectrophotometry. As

for potassium, it was measured through flame spectrophotometry [20]. The cation exchange

capacity (CEC) corresponds to the sum of the bases of the exchange complex.

Data Processing:

The data collected in the field were entered and coded using the Microsoft Excel 2013

spreadsheet. These data were processed with the R software. The normality of the distributions

of the samples was verified by the Shapiro-Wilk test and the homogeneity of variances verified

by Levene's test. If the variable from which the sample comes follows a normal law and there is

homogeneity of the variances, an ANOVA is carried out, otherwise the non-parametric Kruskal- Wallis’s test was applied. The analysis of variance was completed by Tukey's test which made

it possible to classify the means at the probability threshold of 5%.

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Discoveries in Agriculture and Food Sciences (DAFS) Vol 12, Issue 1, February- 2024

Services for Science and Education – United Kingdom

RESULTS

Morpho-Pedological Characteristics of the Soil

The soil observed under the rubber tree is ferralitic, deep and well differentiated in horizons

(figure 2). The profile at the upper slope (HV) presents four horizons. The A1 type surface

horizon has a sandy-clay texture and a lumpy structure; it is fresh, very porous, dark brown in

colour (7.5YR 2.5/2) and very humus-rich. Its thickness is (0-20/25 cm) and presents a regular

limit. The soil observed under sorghum is ferralitic and deep. In fact, at Zépréguhé, this upper

mid-slope soil (MVsup) has four horizons. The A11-type surface horizon has a sandy-loamy

texture and a lumpy structure. This horizon is dry, very porous, dark brown in colour (7.5 YR

3/2) and humus. Its thickness varies from 0-13 cm and has few roots. The soil observed under

cassava-maize is ferralitic. This lower mid-slope (MVinf) soil has four horizons. The A11-type

surface horizon has a sandy-loamy texture and a lumpy structure. This horizon is dry, very

porous and has few roots. It is dark brown in colour (7.5 YR 3/3), humus-rich and estimated at

27 cm thick. The soil observed under previous market gardening is hydromorphic, deep and

well differentiated in horizons. This soil at the bottom of the slope (Bp) has five horizons. The

A11-type surface horizon has a sandy-silty texture and a lumpy structure. This horizon is cool,

humus, porous, well drained, loose and has abundant roots of millimeter size. It is dark brown

in colour (gley1 3/N).

Figure 2: Soil profiles at different topographic positions corresponding to different land uses.

a: ground under rubber at the upper slope; b: soil under previous sorghum at the upper mid- slope; c: previous cassava-maize soil at the lower mid-slope; d: soil under previous market

gardening at the bottom of the slope

Physico-Chemical Parameters of Soils

Granulometry:

Table 1 summarizes the results relating to the particle size under the different positions on the

toposequence. This reveals differences at various levels of significance between the

topographic positions. Only the clay content was not influenced by the position on the

toposequence. The proportions of Silt, Sand and the sum Clay + Silt varied highly significantly

(P ˂ 0.001) from one position to another. For the clay content, the upper mid-slope position

(MVsup) and the upper slope position (HV) had the highest rates with 12.25 and 6.25%

respectively. These same topographic positions presented the highest rates of Clay + Silt with

60.52% for MV sup and 42.67% for HV. However, the highest levels of silt (L) are observed at

the MVsup and lower mid-slope (MVinf) positions with respectively 48.27 and 38.22%. The

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

bottom of the slope (Bp) and MVinf positions were the sandiest with 69.08 and 58.23% sand

respectively.

Table 1: Soil granulometry

Topographical positions Granulometry

A L A+L S Texture

Upper slope (HV) 6.25a 36.42ab 42.67b 55.25b

Loamy-sand

Upper mid-slope (MVsup) 12.25a 48.27a 60.52a 37.03c

Loam

Lower mid-slope (MVinf) 2.00a 38.22ab 40.22b 58.23ab Loamy-sand

Bottom of the slope (Bp) 3.50a 26.37b 29.87c 69.08a

Sandy-loam

CV 0.75 0.216 0.257 0.213

P 0.101 0.00925 0.00105 0.00175

Effect ns ** ** **

A: clay; L: silt; S: sand; In the same column, the means followed by the same letter are not significantly different

at the threshold of α=0.05; **: highly significant difference P ˂ 0.01; ns: non-significant difference P ˃ 0.05; CV:

coefficient of variation

Soil Acidity and Organic Matter:

No significant difference was observed between the different positions of the toposequence for

soil acidity, carbon, total nitrogen, C/Nt ratio and organic matter content. The variations of

these parameters between the different topographic positions are presented in Table 2. The pH

generally varied between 6.50 in the rubber plantation (upper slope) and 6.90 in the previous

market gardening (bottom of the slope) in a very low acid range. The carbon content of the soil,

generally low, varied little on the plots and remained between 0.60% (BP) and 0.89% (MVinf).

The highest carbon content was obtained on the upper mid-slope (MVsup) with a value of

1.41%. The soils of the area were also low in carbon. The Nt content of the soil, generally

acceptable at all levels of the toposequence, is however low at the bottom of the slope with

0.060%. The soil C/Nt ratio in the plots varied between 8.80 (MVinf) and 16.20 (MVsup). This

ratio was very weak at the lower mid-slope and quite good at the bottom of the slope (10.15)

and a little high for the upper and upper mid-slope positions with 15.12 and 16.20 respectively.

The O.M content of the soil, which varied between 1.04% at the bottom of the slope and 2.44%

at the upper mid-slope, is in low proportions in the soils of the plots studied.

Table 2: Soil acidity and organic matter

Topographical positions acidity and organic matter

pH C (%) Nt (%) C/Nt OM (%)

Upper slope (HV) 6.50a 1.20a 0.12a 15.12a 2.07a

Upper mid-slope (MVsup) 6.65a 1.41a 0.10a 16.20a 2.44a

Lower mid-slope (MVinf) 6.55a 0.89a 0.10a 8.80a 1.54a

Bottom of the slope (Bp) 6.90a 0.60a 0.06a 10.15a 1.04a

CV 0.031 0.477 0.636 0.433 0.470

P 0.345 0.531 0.923 0.613 0.531

Effect ns ns ns ns ns

pH: hydrogen potential; C: carbon; C/Nt: carbon-nitrogen ratio; Nt: total nitrogen; OM: organic matter; In the

same column, the means followed by the same letter are not significantly different at the threshold of α=0.05; ns:

non-significant difference P ˃ 0.05; CV: Coefficient of variation.

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Discoveries in Agriculture and Food Sciences (DAFS) Vol 12, Issue 1, February- 2024

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Chemical Parameters:

The results on the chemical parameters are recorded in Table 3. Only the CEC made it possible

to observe a significant difference (P ˂ 0.01) between the topographic positions. This CEC

varied between 2.22 cmol.kg-1 and 11 cmol.kg-1. The CEC is very low in the previous market

gardening at the bottom of the slope (2.22 cmol.kg-1) and on the previous cassava-maize at

lower mid-slope (4.88 cmol.kg-1). It was average on the upper mid-slope (sorghum) and upper

slope (rubber) with respectively 11 and 10.20 and cmol.kg-1. The sum of the bases between 1.2

cmol.kg-1 on the bottom of the slope (BP) and 3.4 cmol.kg-1 on the upper slope (HV) was very

low in these soils when the saturation rate increased from low (22.4% for the previous

sorghum) to medium (56.3% for the previous market gardening). The overall low assimilable

phosphorus content varied from 19 cmol.kg-1 (bottom of the slope) to 21.75 cmol.kg-1 (lower

mid-slope).

The calcium content (Ca2+) varied within acceptable proportions. Thus, the calcium content

varied between 0.772 cmol.kg-1 on the bottom of the slope (BP) and 2.525 cmol.kg-1 on the

upper slope (HV). The high values were obtained on the upper mid-slope (MVsup) and upper

slope (HV) positions with respectively 1.087 and 2.525 cmol.kg-1. The magnesium content

varied between 0.340 cmol.kg-1 (BP) and 1.052 cmol.kg-1 (MV sup). The high levels were

obtained on the upper mid-slope (MVsup) and upper slope (HV) treatments with respectively

1.052 and 0.668 cmol.kg-1. Overall, these levels are acceptable. The soil at the site was very low

in potassium. Indeed, the highest potassium content was obtained in BP with 0.074 cmol.kg-1

for expected values greater than 0.1 cmol.kg-1.

Table 3: Variation of some chemical parameters according to the position on the

toposequence

Topographical positions Chemical parameters

P.ass CEC Ca2+ Mg2+ K

+ Na+

Sb V

Upper slope (HV) 20,50a 10,20a 2,525a 0,668a 0,066a 0,169a 3,429a 33,180a

Upper mid-slope (MVsup) 19,25a 11,00a 1,087a 1,052a 0,066a 0,161a 2,366a 22,484a

Lower mid-slope (MVinf) 21,75a 4,88ab 1,009a 0,561a 0,059a 0,129a 1,758a 39,019a

Bottom of the slope (Bp) 19,00a 2,22b 0,772a 0,340a 0,074a 0,047a 1,233a 56,357a

CV 0,521 0,548 0,571 0,441 0,114 0,493 0,424 0,364

P 0,997 0,022 0,069 0,075 0,392 0,259 0,094 0,073

effete ns * ns ns ns ns ns ns

P.ass: assimilable phosphorus; CEC: cation exchange capacity; Ca2+: calcium; Mg2+: magnesium; Na+: sodium; K+:

potassium; Sb: sum of bases; V: saturation rate; * significant difference P ˂ 0.05. In the same column, means

followed by the same letter are not significantly different at the threshold of α=0.05; ns: non-significant

difference P ˃ 0.05; CV: Coefficient of variation.

Table 4 presents some equilibrium ratios between Ca2+, Mg2+ and K+ cations in the soils studied.

The K/CEC ratio was low in all the soils compared to the expected norms between 2 and 3.

Indeed, this ratio varied between 0.006 (MVSup) and 0.06 (HV). It translates the extreme

poverty of the soil in potassium. These values reflect a potassium (K) deficiency in these soils.

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

The Ca2+/Mg2+ ratio was optimal for all positions except at MVsup where it is low. This ratio

varied from 1.02 (upper mid-slope) to 4.1 cmol.kg-1 (upper slope). The optimal values of the

Ca2+/Mg2+ ratios are between 2 and 9 according to [21].

The K+/Mg2+ ratio is optimal in all the treatments except at BP where it is high, whereas the

(Ca2++ Mg2+)/K+ ratio is high in all the treatments.

Table 4: Equilibrium ratios between Ca2+, Mg2+ and K+ cations in soils

Ratios Upper slope

(HV)

Upper mid-slope

(MVsup)

Lower mid-slope

(MVinf)

Bottom of the slope

(Bp)

Ca2+/Mg2+ 4,1 1,02 2 2,3

K

+

/Mg2+ 0,09 0,05 0,08 0,20

(Ca2++Mg2+)/K+ 53 35,5 31,2 15,8

K

+

/CEC 0,06 0,006 0,012 0,033

Linking the Parameters Studied:

The physico-chemical parameters of the soil establish between them positive or negative

relationships (Table 5). Sand correlates negatively (r = 0.81 and 0.85; P ˂ 0.05) with clay and

saturation level. The A+L sum established a weak positive correlation (r = 0.79; P ˂ 0.05) with

clay, a strong positive correlation with CEC and magnesium (r=0.84 and 0.90; P ˂ 0.01) and a

strong but negative correlation (r = 0.86; P˂ 0.01) with saturation rate. The sum A+L also

established a very strong positive correlation with silt (r = 0.94; P ˂ 0.001) and negative with

sand (r = 0.99; P ˂ 0.001). Silt correlated positively (r = 0.74; P ˂ 0.05) with magnesium, and

established a very strong negative correlation (r = 0.92; P ˂ 0.001) with sand and saturation

rate.

Carbon established good positive correlations with clay (r = 0.78; P ˂ 0.05) and sum of bases (r

= 0.74; P ˂ 0.05) and a negative correlation (r = 0.79; P ˂ 0.05) with pH. The correlation was

very strongly positive (r = 1; P ˂ 0.001) with organic matter and strongly positive with

magnesium (r = 0.87; P ˂ 0.01) and nitrogen (r = 0.86; P ˂ 0.01). Organic matter content

correlated positively (r = 0.78; P ˂ 0.05) with clay and sum of bases (r = 0.74; P ˂ 0.05) and

negatively (r = 0.79; P ˂ 0.05) with pH. It also establishes a strong positive correlation (r = 0.87

and 0.86; P ˂ 0.01) with magnesium and nitrogen.

Magnesium established a strong positive correlation (r = 0.89; P ˂ 0.01) with clay and a negative

one (r = 0.92; P ˂ 0.01) with sand. Calcium (Ca2+) established a weak negative correlation (r =

0.70; P ˂ 0.05) with pH and a very strong positive correlation (r = 0.94; P ˂ 0.0001) with the

sum of bases. CEC showed a weak positive correlation (r = 0.78; 0.75 and 0.74; P ˂ 0.05) with

silt, magnesium and sum of bases respectively. With sand and saturation rate, CEC establishes

strong negative correlations (r = 0.84; and 0.88 respectively with P ˂ 0.01).

Nitrogen establishes a strong negative correlation (r = 0.83; P ˂ 0.01) with pH, which is weakly

and negatively correlated (r = 0.79; P ˂ 0.05) with the sum of bases.

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Discoveries in Agriculture and Food Sciences (DAFS) Vol 12, Issue 1, February- 2024

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Table 5: Correlation matrix of study parameters

V

-0,48

-0,86**

-0,48

-0,55

-0,26

-0,88**

0,28

-0,92**

-0,48

-0,70

-0,38

-0,14

-0,09

0,39

-0,85**

-0,45

1

Sb

0,55

0,43

0,74*

-0,0002

0,94***

0,74*

-0,36

0,29

0,74*

0,59

0,57

0,69

0,11

-0,79*

-0,47

1

S

-0,81*

-0,99***

-0,66

-0,34

-0,18

-0,84**

0,33

-0,92***

-0,66

-0,92**

-0,53

-0,29

0,01

0,40

1

pH

-0,37

-0,36

-0,79*

0,34

-0,70*

-0,50

0,58

-0,30

-0,79*

-0,59

-0,39

-0,83**

-0,33

1

P.ass

0,01

-0,05

0,45

-0,20

0,05

-0,07

0,12

-0,08

0,45

0,23

-0,18

0,39

1

Nt

0,49

0,24

0,86**

-0,63

0,62

0,32

-0,54

0,05

0,86**

0,56

0,17

1

Na+

0,41

0,53

0,36

0,19

0,42

0,51

-0,43

0,50

0,36

0,49

1

Mg2+

0,89**

0,90**

0,87**

0,09

0,30

0,75*

-0,29

0,74*

0,87**

1

MO

0,78*

0,62

1,00***

-0,24

0,55

0,61

-0,38

0,42

1

L

0,54

0,94***

0,42

0,48

0,04

0,78*

-0,38

1

K+

-0,11

-0,32

-0,38

0,45

-0,30

-0,27

1

CEC

0,67

0,84**

0,61

0,47

0,58

1

Ca2+

0,30

0,15

0,55

-0,05

1

C/Nt

0,08

0,38

-0,24

1

C

0,78*

0,62

1

A+L

0,79*

1

A

1 A

A+L

C

C/Nt

Ca2+

CEC

K+

L

MO

Mg2+

Na+

Nt

P.ass

pH

S

Sb

V

A: clay; L: silt; S: sand; pH: hydrogen potential; C: carbon; C/Nt: carbon to nitrogen ratio; Nt: total nitrogen; OM:

organic matter; P.ass: assimilable phosphorus; CEC: cation exchange capacity; Ca2+: calcium; Mg2+: magnesium;

Na+: sodium; K+: potassium; Sb: sum of bases; V: saturation rate; * low correlation; **: strong correlation; *** very

strong correlation

Page 10 of 15

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

Projection on factorial plane 1-2 (Figure 6.A), associates positively, CEC, A+L, A, C/Nt, M.O, Mg2+,

C, L, Sb, Ca2+, Nt and negatively V, S to axis 1. It associates positively with axis 2, pH and K+ but

negatively with P.ass. The factor map (figure 6.B) thus defines three fertility groups:

Group 1 consists only of the soil at the bottom of the slope occupied by the previous market

garden. It is characterized by pH, presence of sand (S) and saturation level (V). These soils are

the least rich in organic matter and minerals. The lower mid-slope forms group 2, which was

characterized by better availability of assimilable phosphorus (P.ass).

Group 3 includes the soils of the upper slope (rubber tree) and the upper mid-slope (previous

sorghum). It is characterized by the highest availability of clay (A), silt (L), organic matter (MO)

and total nitrogen (Nt), with a higher sum of bases (Sb) and cation exchange capacity (CEC).

These two levels represent the most fertile soils in the toposequence.

Figure 3: PCA associating soil parameters

A: clay; L: silt; S: sand; pHeau: hydrogen potential; C: carbon; C. Nt: carbon to nitrogen ratio; Nt: total nitrogen;

M.O: organic matter; P.ass: assimilable phosphorus; CEC: cation exchange capacity; Ca2.: calcium; Mg2.:

magnesium; Na: sodium; K.: potassium; Sb: sum of bases; V: saturation rate; BP: Bottom of the slope; HV: upper

slope; MVinf: lower mid-slope; MVsup: upper mid-slope; G1: group1; G2: group2; G3: group3.

DISCUSSION

The physical description of the profiles showed that the soil of the study area presents few

physical constraints for agricultural development in its lower half. Indeed, with the exception

of the mid-slope with plinthic characteristics which presented an induration at less than 50 cm,

all the other positions have deep soils that are more or less loose on the surface. The surface

horizons of the soils of the area, with a loamy-sandy texture, are certainly poor in clay but seem

to have a good content of organic matter (mostly gray to dark gray) especially on the upper part

of the toposequence under rubber and sorghum mulch. These characteristics show that the soil

of the site has good cultivation potential. These results corroborate those of [22] who

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demonstrated that a lumpy structure associated with a loamy-sandy texture offers physical

properties conducive to plant development. The realization of the textural triangles made it

possible to locate the soils in the category of soils with a balanced texture for water

management, with the exception of the soil at the bottom of the slope, which filters too much.

The abundance of sand in the lower positions of the toposequence reveals a greater ease of

displacement of this coarse fraction compared to the finer elements more solidly in links.

Moreover, the good porosity of the soils can be explained by the abundance of roots and coarse

elements in the upper horizons. This porosity is likely to promote good root growth and good

plant development [23]. However, the low clay content could have consequences on the quality

of the soils, in particular their chemical fertility as noted [9] on the soils of Gogbala in the North

of Côte d'Ivoire.

The results of the particle size analysis confirmed the predominance of silts by the loamy

texture of these soils. These results testify that the soils at Zépréguhé are suitable for

agricultural practice in accordance with the studies of [24-25-26] which reported that the

loamy texture of the soils is excellent and suitable for most crops.

The soils are very weakly acidic to almost neutral, with pH values ranging from 6.50 to 6.90.

These pH values are in favour for good biological activity and good availability of the majority

of mineral elements for plants, because they are better dissolved in them [27]. Since pH is a key

factor in the life of soil microorganisms and determines the availability of nutrients and plant

nutrition [21-28], it does not alone condition the cycle of matter. Indeed, the type of material,

temperature and humidity also contribute. Thus, the low availability of mineral elements in

these soils would be explained by the poor availability of organic matter in the previous market

gardening and cassava-maize on the one hand and by a poor biological activity under rubber

due to an excess of humidity. on the other hand.

The low level of carbon and nitrogen characterizes the soils of the lower part of the

toposequence subject to continuous development without external inputs. Indeed, shifting or

successive cropping systems influence the dynamics of organic matter [29] and do not give the

soil enough time to build up its nitrogen and carbon stock [30]. The lower part was occupied by

the cultivation of cassava-maize on the lower mid-slope and market gardening at the bottom of

the slope. These speculations cover little soil and have a low level of renewal of organic matter

with very little plant deposit for cassava-maize and permanent ploughing in the case of market

gardening. On the other hand, the upper part of the study plot is occupied by a rubber plantation

more than seven years old and a field of sorghum, a crop introduced by people from northern

Côte d'Ivoire and Burkina Faso. While rubber trees provide strong litter, a source of slowly

decomposing organic matter, harvesting sorghum leaves stumps and stumps that also

decompose slowly. The low carbon and nitrogen content and the low availability of K+ and Mg2+

are explained by a poor biological activity at these levels of the toposequence. These results are

in agreement with those of [31] which states that the more natural vegetation gives way to

agricultural land, the more there is a reduction in the production of biomass and organic matter

in the soil. Organic restorations through long-term fallows make it possible to restore the

fertility of soils depleted by several years of successive crops [32].

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Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

Permanent soil cover in rubber cultivation reduces material loss. The same is true for sorghum.

Indeed, sorghum can be used as a previous crop providing plant cover to fight against erosion,

due to its powerful root system, high biomass production, soil cover provided by cover crop

residues dead.

The available phosphorus content is very low in all soils. These results are similar to those

obtained by [33] under cocoa trees in the south-west of Côte d'Ivoire. The very low content of

assimilable phosphorus is typical and specific to many soils of inter-tropical regions because of

their strong fixing power ([34]. The low level of assimilable phosphorus would also be due to

the low content in these soils of matter which is the main cause of the bioavailability of

phosphorus in soils in tropical environments. Indeed, the work of [35] showed a similar effect

of organic matter on the bioavailability of phosphorus in soils under cocoa crops.

Soil contents of calcium, magnesium, potassium and sodium and the sum of bases are low in

most soils. Only the upper slope and upper mid-slope soils have an acceptable Ca2+ content for

the first and an acceptable Mg2+ content for the second. This poor supply of exchangeable

cations on the whole would be due to the export by the harvests over several years without a

manure of restitution and the bad decomposition of the organic matter. This result is similar to

those of [36] carried out on tropical soils in Burkina Faso which show the low sum of the bases

of the soils under cultivation and of [37] obtained after analysis of the soils under cashew trees

in Côte d'Ivoire. This low content will have a negative impact on productivity because these

cations are involved in important physiological processes for plants, such as photosynthesis,

fruiting and cell permeability. The cation exchange capacity is low at the bottom of the slope

and lower mid-slope, associated with low saturation in the upper part, confirming low plant

nutrition.

All these physical and chemical characteristics denote an ferralsol in this area. The soils present

highly desaturated complexes reflecting their low availability of cations. Similar results were

obtained by [9] on the soils of Gogbala in northern Côte d'Ivoire.

The K/CEC ratio is low in soils of all treatments according to [21]. Indeed, according to this

author, the expected values of this ratio must be between 2 and 3. It therefore presents an

imbalance for good potassium nutrition of plants. The Ca2+/Mg2+ ratio is satisfactory in the

rubber plantation at the upper of the slope and in the lower part of the toposequence, i.e., on

the cassava-maize and market gardening plots. On the other hand, on the upper mid-slope,

difficulties in assimilating calcium could be encountered. At the bottom of the slope, the low

availability of Mg2+ would limit the assimilation of potassium for certain plants due to a high

K+/Mg2+ ratio. The high (Ca2++ Mg2+)/K+ ratio over the whole toposequence confirms that the

assimilation of calcium and magnesium can constitute factors limiting agricultural productivity

in this zone. Indeed, the optimum of this last ratio must be between 12 and 15 for a good

nutrition in calcium and magnesium [38-26].

Land occupation by crops in this area was made according to a fertility gradient from the top of

the slope to the bottom of the slope with a succession of rubber-sorghum-cassava/maize- market gardening crops. This fertility gradient could, from the point of view of organic matter,

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be due to speculation and the management of agricultural residues. Indeed, the rubber tree

constitutes, through the seasonal loss of leaves, a reservoir of organic matter that is annually

renewed, just like the cultivation of sorghum for which the harvest residues are kept on the

plot. Thus, agriculture can mitigate climate change by implementing beneficial management

practices that increase soil carbon storage capacity and limiting practices that contribute to soil

organic carbon loss to the atmosphere. through crop choice and residue management.

CONCLUSION

The soils of the study area presented a cropping suitability ranging from low (bottom of the

slope) to moderately good at the top of the slope. If this gradient comes from the position on

the toposequence, it does not remain the only justification. Speculation and residue

management have had a strong contribution to this differentiated fertility on the toposequence.

The introduction of sorghum in the area seems, in addition to satisfying a food need imported

from the regions of origin, to bring an improvement in the management of soil fertility if crop

residues are kept on the ground. The cultivation of rubber trees has the advantage of favouring

the protection of the soil against erosion, while maintaining a microclimate that can slow down

the decomposition of organic matter, just like the previous sorghum. Rubber and sorghum

manage soil fertility better than the other crops in this study. The previous cassava-maize

appeared to have the most detrimental effect on organic matter management and, in turn, on

overall soil fertility. The bottom of the slope, which immediately presents a physical constraint

due to its richness in sand, occupies the lowest level of fertility due to continuous exploitation

by crops with a low level of organic matter constitution. The multiplicity of species on the plot

and the repeated number of plantings is a factor in soil depletion because various nutrients are

simultaneously taken up in large quantities by these vegetables.

References

[1]. Milleville P. & Serpantié G. (1994). Dynamiques agraires et problématique de l’intensification de

l’agriculture en (Afrique soudano-sahélienne): Agrarian dynamics and the question of the intensification

of farming in the Sahelian and savanna zones of Africa. Comptes Rendus de l’Académie d’Agriculture de

France 80, 149-161.

[2]. Diwediga B., Hounkpe K., Wala K., Batawila K., Tatoni T. & Akpagana K. (2012). Agriculture de contre

saison sur les berges de l’oti et ses affluents. African Crop Science Journal. 20: 613-624.

[3]. Saidou A., Kossou, D., Azontonde A. & Hougni D. (2009). effete de la nature de la jachère sur la

colonisation de la culture subséquente par les champignons endomycorhiziens: cas du système

‘jachère’manioc sur sols ferrugineux tropicaux du (Bénin). International Journal of Biological and

Chemical Sciences 3.

[4]. Kaho F., Yemefack M., Feujio-Teguefouet P. & Tchantchao uang J. (2011). effete combiné des feuilles de

Tithonia diversifolia et des engrais inorganiques sur les rendements du maïs et les propriétés d’un sol

ferralitique au Centre (Cameroun). Tropicultura 29, 39-45.

[5]. Shepherd K.D., Palm C.A., Gachengo C.N. & Vanlauwe B. (2003). Rapid characterization of organic

resource quality for soil and livestock management in tropical agroecosystems using nearinfrared

spectroscopy. Agronomy Journal 95, 1314-1322.

[6]. Soro D., Bakayoko S., Dao D., Tie Bi B.T., Angui P. & Giralium O. (2011). Diagnostic de la fertilité du sol du

(Centre Nord de la Cȏte d’Ivoire). Agronomie Africaine, 23(3) : 205-215.

Page 14 of 15

55

Yéo, L., Tokapieu, M. G., & Ambéyin Touré, D. S. (2024). Qualities of Soil Upper Layers Under Rubber Plantation and Various Previous Soil Histories

in Zépréguhé (Daloa, west-central Côte d'Ivoire). Discoveries in Agriculture and Food Sciences, 12(1). 42-56.

URL: http://dx.doi.org/10.14738/dafs.121.16511

[7]. Arrouays D., Vion I., Jolivet Cl., Guyon D., Couturier A. & Wilbert J. (1997). "Variabilité intraparcellaire de

quelques propriétés des sols sableux des Landes de Gascogne (France) : Conséquences sur la stratégie

d’échantillonnage agronomique", Étude et Gestion des Sols, 4(1) : 5-16.

[8]. Richer de Forges A.C., Arrouays D., Héliès F., Laroche B. & Bardy M. (2012). "Quelles demandes sur les

sols reçoit-on aujourd’hui au niveau d’un pays comme la France? ", Etude et Gestion des Sols, 19 (2), 119-

128.

[9]. Adéchina O., Ouattara A. & N’Ganzoua K. R. (2018). Caractéristiques morphologiques et physico- chimiques des sols savanicoles le long de toposéquences à (Gogbala dans le Nord de la Côte d’Ivoire).

International Journal of Innovation and Applied Studies 25 (1) : 437-445.

[10]. M’Biandoun M. & Bassala J.-P.O. (2007). Savoir paysan et fertilité des terres au (Nord-Cameroun).

Cahiers Agricultures 16, 185-197.

[11]. Kassin K. & Yoro G. (2009). Rapport d’activités du programme gestion durable des sols et maîtrise de

l’eau (GDSME). Station de Recherche du CNRA (Gagnoa), 17 p.

[12]. WRB I. W. G. (2014). World reference base for soil resources: international soil classification system for

naming soils and creating legends for soil maps. World Soil Resources Report, 106: 12-21.

[13]. Gee G. W. & Bauder J. W. (1986). Particle-size analysis. In: Methods of soil analysis. Part 1: Physical and

mineralogical methods (ed. A. Klute). American society of Agronomy, Soil Science Society of America,

Madison, WI: 383 - 411.

[14]. Anderson J. M. & Ingram J. (1989). Tropical soil biology and fertility programme. Methods handbook.

C.A.B. Oxford, 171 p.

[15]. AFNOR (1999). La qualité des sols; normes NF X 31 et Normes ISO. 2 volumes, 566p et 408 p.

[16]. Walkley A. & Black I.A. (1934). An examination of the Degtjareff method for determining soil organic

matter, and a proposed modification of the chromic acid titration method. Soil Science, 34: 29 - 38.

[17]. Bremner J. M. (1996). Nitrogen-total. In: Methods of soil analysis: Chemical methods part 3. Sparks D.L.

(Ed.), Soil Science Society of America Inc., American Society of Agronomy, Inc., Madison, Wisconsin, USA:

1085-1122.

[18]. Dabin B. (1967). Sur une méthode d’analyse du phosphore dans les sols tropicaux. Colloque sur la

fertilité des sols tropicaux, (Antananarive, Madagascar), 19-25 novembre, n°1 pp 99 -115.

[19]. Murphy J. & Riley J. P. (1962). A modified single solution method for the determination of phosphate in

natural waters. Analytica Chimica Acta, 27: 31 - 36.

[20]. Eponon EC, Snoeck D., Konaté Z., Kassin KE, Camara M., Legnaté H. & Koné D. (2019). Caractérisation de

la fertilité des sols dans les zones de production de Café (Coffea spp.) en (Côte d'Ivoire). Journal de

Recherche des Sciences Agricoles et Forestières, 7 (2): 15-24.

[21]. Doucet R. (2006). Le climat et les sols agricoles. Ed. Berger, Eastman, Québec. XV, 443 pp.

[22]. Diomé F. (1996). Rôle de la structure du sol dans son fonctionnement hydrique: sa quantification par la

courbe de retrait. Thèse de. Doctorat en Pédologie à l’Université Cheick Anta Diop Dakar (Sénégal),

ORSTOM, 123 p.

[23]. Baize D. (2000). Guide des analyses en pédologie, 2nd Ed. France, INRA Editions. 257 P.

Page 15 of 15

56

Discoveries in Agriculture and Food Sciences (DAFS) Vol 12, Issue 1, February- 2024

Services for Science and Education – United Kingdom

[24]. Giguère R. (2002). Botanique et horticulture dans les jardins du Québec: guide 2002. Éditions Multi.

Mondes, Société des amis du Jardin Van den Hende, 245. 289-440-263

[25]. Buol S. W., Southard R. J., Graham, R. C. & McDaniel P. A. (2011). Soil genesis and classification. John

Wiley & Sons.

[26]. Pypers P., Sanginga J.-M., Kasereka B., Walangululu M. & Vanlauwe B. (2011). Increased productivity

through integrated soil fertility management in cassava–legume intercropping systems in the highlands

of Sud-Kivu, (DR Congo). Field crops research 120, 76-85.

[27]. Sato S. & Comerford N. B. (2005). Influence of soil pH on inorganic phosphorus sorption and desorption

in a humid brazilian Ultisol. Revista Brasileira de Ciéncia do Solo, 29: 685-694.

[28]. Borah K.K., Bhuyan B. & Sarma H.P. (2010). Lead, arsenic, fluoride, and iron contamination of drinking

water in the tea garden belt of Darrang district, Assam, India. Environmental monitoring and assessment

169, 347-352.

[29]. Koné B., Diatta S., Oikeh S., Gbalou Y., Camara M., Dohm D. D. & Assa A. (2009). “Estimation de la fertilité

potentielle des ferralsols par la couleur: usage de la couleur en morphopédologie”, Canadian Journal of

Soil Science, 89 (3): 331-342. http://dx.doi.org/10.4141/CJSS07119.

[30]. Bationo A. & Buerkert A. (2000). “Soil organic carbon management for sustainable land use in (Sudano- Sahelian West Africa)”. Nutrient Cycling in Agroecosystems, 6: 131-142.

[31]. Robert M. (2001). Soil carbon sequestration for improved land management. World Soil Resources

Reports 96, FAO.

[32]. Bivoko D., Ahonzo-Niamke, S. & Zeze A. (2014). Impact des propriétés physicochimiques des sols de

culture du manioc sur l’abondance et la diversité des communautés de champignons mycorhiziens à

arbuscules dans la zone agroécologique (d’azaguié, Sud-Est de la Côte D’Ivoire). Agronomie Africaine 25:

251-264.

[33]. Koko K. L., Yoro R. G., Ngoran K.& Assa A. (2008). “Evaluation de la fertilité des sols sous cacaoyers dans

le (sud-ouest de la Côte d’Ivoire)”, Agronomie Africaine, 20 (1): 81-95.

[34]. Hinsinger P., Ndeye Y., Becquer T., Chapuis-Lardy L. & Masse D. (2015). Les enjeux liés au phosphore

dans les sols tropicaux, UMR Eco & Sols, (Montpellier) SupAgro-CIRAD-INRA-IRD.

[35]. Ouattara T. V., Kassin K. E., Koko L. J., Tahi G. N., Assi M. E., Amari G., Dick E. & Camara M. (2017). “Effets

de la fertilisation organo-phosphatée sur la biodisponibilité du phosphore, la teneur en aluminium et le

pH des sols sous cacaoyers dans la région de (Divo en Côte d’Ivoire)”, Journal of Applied Biosciences, 118:

11754-11767. https://dx.doi.org/10.4314/jab.v118i1.2.

[36]. Kissou E. R., Traoré Z. Gnankambary H.B., Nacro M. & Sédogo P. (2014). Connaissance endogène de la

classification et de la fertilité des sols en zone Sud-Soudanienne du (Burkina Faso), Vertigo - la revue

électronique en sciences de l'environnement, consulté le 12 août 2022. URL:

http://vertigo.revues.org/14616; DOI: 10.4000/vertigo.14616.[37]. Diomandé L. B., Soro S., Koné D. &

Adingra K. D. P. (2021). Diagnostic de la fertilité chimique des sols sous anacarderaies (Anacardium

occidentale L.) dans le département de (Korhogo au nord de la Côte d'Ivoire). International Journal of

Innovation and Scientific Research 53 (1): 50-60

[38]. Giroux M. & Audesse P. (2004). Comparaison de deux méthodes de détermination des teneurs en

carbone organique, en azote total et du rapport C/N de divers amendements organiques et engrais de

ferme. Agrosol, 15: 107-110.