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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1
PHYSIO- CHEMICAL PROPERTIES OF SOIL AND ITS INFLUENCE ON CROP
YIELD OF OKE-OYI IRRIGATION SCHEME, NIGERIA
Adejumobi M.A1, Hussain H.A2, Mudi O.R2
1Department of Agricultural Engineering Ladoke Akintola University of Technology, Ogbomoso, Nigeria)
2Lower Niger River Basin Development Authority, Ilorin, Kwara State, Nigeria.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - Irrigation is an important factor that determines crop yield and growth due to its association with many factors of
plant environment that influence its growth development. Soil quality analysis for irrigation at Oke-Oyi phase II & III irrigation
scheme of the Lower Niger River Basin Development Authority (LNRBDA), Kwara State, Nigeria were carried out. This study
determined the cause(s) of low yield of selected crops grown on phase II and III of the scheme between the years 2015 to 2017.
Soil samples were randomly taken at depths of 0-20 cm, 20-60 cm and 60-100 cm from the operating land in Phase II and III. The
soil samples were taken to the laboratory for chemical and physical analysis.
Physical analysis results indicated that: the soil of both phase had sandy loam texture; soil moisture contents of 1.08%, 1.05%,
1.12% and 1.09% (phase II) and1.17%, 1.35%,1.02% and 1.76% ( phase III) , infiltration capacities (K) 0.00956 cm/s to 0.0104
cm/s and 0.00876 cm/s to 0.0216cm/s for phase II and III respectively. Chemical analysis results revealed that: soil pH was
moderately to slightly acidic (5.30 to 6.8 7) for phase II and moderately acidic (5.72 to 5.88 ) for phase III, the average organic
carbon were 0.142-0.267% phase II and 0.0860-0.1151% phase III respectively; available phosphorous content of 20.276 to
28.342mg/l phase II and 19.296 to 30.242 mg/l phase III; ExchangeableSodiumPercentage(ESP), 5.90to10.0%phaseIIand6.80
to 9.02% phase III; Sodium Adsorption Ratio (SAR) 0.10 to 0.32 meg/l phase II and 0.09 me/l to 0.10 me/l for phase III. In 2015,
rice yield decreased from 4000 kg to 3600 kg per hectare for in 2016 and subsequently, decreased to 3300kg per hectare in
2017(phase II). Garden egg yield decreased from 5.2 Ton/ha in 2015 to 4.60 Ton/ha in 2016 and subsequently decreased to 4.00
Ton/ha in 2017(phase III). The decrease in the crop yield between 2015 and 2017 in phase II and III may be due to the increase in
exchangeable bases in the soil. Crop yield data collected were subjected to analysis of variance (ANOVA)fromthe ANOVAresultsit
was concluded that yields of maize, pepper, garden egg and water melon are significant ( P < 0.05) while that of rice and okro are
insignificant (P > 0.05).
Therefore, there is a need for proper monitoring of the soil condition in the both phase in order to prevent further deterioration
since reduction in crop yields have been observed from 2015 to 2017 growing period.
Keywords – Crop yield, Soil quality, Irrigation, Soil samples and Operating land
1. INTRODUCTION
Irrigation is an important determinant of crop yield and growth because it is associated with many factors of plant
environment, which influence growth and development (1). There is a rapid expansion of irrigation schemes in Nigeria dueto
increase in population and hence the need for additional food supply. The needs to feed and improve the standard of living of
the ever-increasing human population led to the introduction of the irrigation schemes. This has facilitated the cultivation of
the same land twice or more in a year and has improved the farmer’s standard of living economically (2). Global drive for
sustainable agriculture systems involves optimizing agricultural resources to satisfy human needs and at the same time
maintaining the quality of the environment and conserving natural resources (3).
The success of soil management to achieve productivity and maintain soil fertility depends on the understanding of how the
soil responds to agricultural use and practices (4). Irrigation agriculturecouldhaveadverseeffectsonsoil chemical properties,
fertility and sustainable productivity if not well monitored. The chemical properties of a soil give a strong indication of its
fertility.
Therefore, continued use of soil for irrigation activity in the study area without careful quality assessmentandmonitoringhas
given rise to accumulation of salts on the soil and consequently affects the crops potential yield. The aim of the study is to
determine the cause(s) of low yield of selected crops grown on phase II and III of the scheme between the years 2015 to 2017.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2
2. MATERIALS AND METHODS
The study was conducted in Oke-Oyi irrigation project of Lower Niger River Basin Development Authority(LNRBDA)situated
at Ilorin-East LGA of Kwara State, Nigeria. Oke-Oyi is the head quarter of Ilorin East Local Government Area of Kwara State,
which is about 25 km away from Ilorin town along old Ilorin-Jebba Road. The irrigation project site is located between the
latitude; 08o 37.322' N and 08o 37.781'N, and Longitude; 04o 45.893'E and 04o 46.027'E of Greenwich Meridian. The total
surface area of the irrigation project site is 50 hectares of land which was divided into Phase II (30ha) and Phase III (20ha).
Phase II is used for cultivation of arable crops such as Okra, Maize, and Rice with surface area of 12.5ha, 10ha, and 7.5ha,
respectively and phase III is used for cultivation of arable crops such as Watermelon, Pepper and Gardeneggwithsurfacearea
of 3 ha, 5 ha and 12 ha, respectively. Both phases were small-medium irrigation schemes and basin irrigation system which
were used to supply water to the field from the rectangular weir located at the adjacent side of the scheme.
2.1 Soil Sampling
Soil samples were taken from sixteen different locations on the irrigatedsectionandfourplaces inthe non-irrigatedsectionon
the field making a total 60 samples at three depth intervals (0-20, 20-60 and 60-100cm) for phaseIIandphaseIIIrespectively.
Chemical and physical analysis of Soil samples collected were determined using (5) laboratory soil standards. Theparameters
determined were; particle size analysis was done by hydrometer method, (i) The soil pH by using glass electrode pH meter in
soil-water and soil-KCL filtrates.
(ii) The exchangeable cations by flame analyser after extraction with neutral ammonium acetate.
(iii) Exchangeable sodium percentage (ESP) was determined using ammonium acetate (NH4OAC) method. (iv)Available
phosphorus by Bray I method. (v) Organic carbon using Walkey Black method, involving oxidation of organic matter with
potassium chromate and sulphuric acid. From the organic carbon data,organicmatter contentwasthencalculated.Cropyields
data collected were subjected to One-way analysis of variance to compare the yield with the FAO standards.
3.0 RESULTS AND DISCUSSIONS
3.1 Physical Analysis
Results of the soil particle size analysis revealed that soil in the study areas, phase II and phase III are sandy loam, using
textural classification triangle chart. This indicated that the soil of phase II is generally very light-textured with sand
percentage averaging more than 75% and loam is 25% and that the soil of phase III is generally very light-textured with sand
percentage averaging more than 79% and loam is 21%. Therefore, for phase II, the soils appear moderately suitable for
irrigation, but may be drought prone and for phase III, the soils appear moderately suitable for irrigation.(6).
The results of the available soil moisture contents obtained for East, West, South and Northern sides of phase II and phase III
were; 1.08%, 1.05%, 1.12% and 1.09%, and 1.17%, 1.35%, 1.02% and 1.76%, respectively.
The values of infiltration capacities (K) were generally highandvariedfrom0.00956cm/sto0.0104cm/sforphase variedfrom
0.00876cm/s to 0.0216cm/s. According to (7) a coarse sandy soil with(K)valueof10-2 cm/swouldlosewaterattheenormous
rate of nearly 10m/day while a fine loam soil with a (K) value of 10-4 cm/sec would lose only about 10 cm/day. The soils inthe
study area were dominantly sandy loam texture and show high transmission of water and moderate water holding capacity,
well drained and suitable for irrigation (8).
3.2 Chemical analysis
The results of the selected average soil chemical properties of phase II and III are presented in Table 1. The soil pH on the field
was moderately to slightly acidic for phase II and moderately acidic for phase III, as given by (9) ranged from 5.30 to 6.87 and
from 5.72 to 5.88 for phase II and phase III respectively. According to United State Department of Agriculture(USDA),toohigh
or too low soil pH leads to deficiency of many nutrients, decline in microbial activities, decreaseincropyieldanddeterioration
of soil health. Therefore, the soil of the study area is thus suitable for crop growth.
The organic carbon gives a direct measure of available nitrogen of the soil. The average organic carbonin phaseIIrangedfrom
0.142-0.267% and phase III ranged from 0.0860-0.1151% of the entire soil nutrients relating to soil fertility. (10) Stated that
organic carbon for the soil is considered high if it is within the range of 0.96-1.08%. It is observed from table 1 that thelevel of
organic carbon has decreased from surface depth(0-20cm) to the second depth (20-60cm)and sharply increasedfromsecond
depth (20-60cm) to third depth (60-100cm) of the soil for phase II and that the level oforganiccarbonhasgenerallydecreased
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3
from 0.09 to 0.12% for phase III which may be due to lack of return of enough crop residues common to the farmers in the
study area. This shows that irrigation has negative effect on the soil organic content.
Table 1.0: Average soil chemical properties of phase II and phase III
PHASE II PHASE III
Parameters 0-20 (cm) 20-60 (cm) 60-100 (cm) 0-20 (cm) 20-60 (cm) 60-100(cm)
Ph 6.52 5.3 6.87 5.72 5.77 5.88
Mg++(me/l) 1.36 1.16 2.26 2.06 1.29 2.78
Ca++ (me/l) 5.25 4.36 6.22 4.29 4.99 6.05
Na+ (me/l) 0.25 0.16 0.65 0.18 0.17 0.21
N (me/l) 1.04 0.18 1.15 0.22 1.07 0.32
K (me/l) 0.23 1.26 0.18 1.06 0.29 1.15
OC (%) 0.23 0.14 0.27 0.12 0.11 0.09
OM (%) 0.17 0.16 0.13 0.2 0.19 0.15
P (mg/l) 28.34 26.06 20.28 30.24 24.07 19.29
ESP (%) 10 9.11 5.9 9.02 8.01 6.8
CEC (me/l) 5.34 4.76 5.52 4.75 4.83 4.62
SAR (meg/l) 0.14 0.1 0.32 0.1 0.09 0.1
Phosphorus is an essential element classified as a macro-nutrient because of the relatively large amount required by plants
(11). Available phosphorous content of the soil at phase II is highrangedfrom 20.276 to28.342mg/kg.Availablephosphorous
content of the soil at phase III ranged from 19.296 to 30.242 mg/l. The level of phosphorous content of the soil ishighandmay
be due to moderate organic matter content, parent material and degree of weathering. However, the soil at phase II andphase
III will be good for crop that requires much phosphorus.
Sodium, which determines the sodicity status of a soil is generally low and ranged from 0.156 to 0.653me/l for phase II and
ranged from 0.1722 to 0.2.83me/l. It is observed from Table 1 that the level of sodium for phase II and phase III slightly
decreased from soil surface depth (0-20cm) downward to the second depth (20-60cm) and also slightly increased to thethird
depth (60-100cm). The low sodium level in the soils indicates a non-sodic status of the soils and thus good for irrigation (12).
Exchangeable sodium percentage (ESP) gives the measure of the potential sodium problem and is the percentage of sodium
ions out of the total base cations (Ca2+, Mg2+, K+ and Na+) (13).ESP value of thesoil in phaseIIrangedfrom 5.90to 10.0%,ESP
value of the soil in phase III ranged from 6.80 to 9.02% as shown in Fig. However, the ESP value has not exceeded 10% which
could result to problem on the soil. The implication of a high ESP valueonthesoil issoildeteriorationordamageandunhealthy
soil condition as stated by (13).
The calcium in the soil of the study area of phase II is generally moderate and ranged from 4.36 – 6.22 me/l and ranged from
4.29-6.05me/l. It can be deduced from the result shown in figure 4. That there is an appreciable increase in the calcium level.
This increase could be related to the increase in pH observed which in tending towards moderately acidic. It indicates that
irrigation has lead to increase in calcium level of the soils in phase II and phase III.
Magnesium ranged from 1.16 – 2.26 me/l and been the dominant cation in phase II and ranged from 1.29 – 2.775/l inphaseIII
respectively. Magnesium level decrease from soil surface depth (0-20cm)totheseconddepth(20-60cm)andincreasesharply
from the second depth to the third depth (60-100 cm) for phase II and phase III. This increase could be as a result of high
magnesium content of irrigation water used for both phases. Magnesium is one of the secondary macronutrient required by
plant, it deficiency causes leaf yellowing with brilliant tints (14).
Potasium (K) of the soil is moderate for phase II and phase III ranging from 0.23 to 1.26me/ for phase II and from 0.29 to
1.15me/l for phase III respectively. The average value of potasium is 1.175me/l, decline in potasium level from 0-20 cm to 60
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4
cm and subsequently increased to 100 cm soil depth. The value of K that eventually rised from second depth can yield 100%
without application of fertilizer (15).
Sodium Adsorption Ratio (SAR) is calculated from the Na, Ca, and Mg reported in me/l and the value is ranged from 0.14 to
0.10me/l for phase II and it ranged from 0.09 to 0.10 for phase III. The level of SAR decreased from 0-20 cm to 20-60 cm soil
depth and subsequently increased from second depth (20-60 cm) to 60-100 cm soil depth, The SAR values obtained were
generally below 13 meq/l1/2 which indicated that the soil of the lands are normal for the growth of crops and the soil structure
was in good condition for proper yield.
3.3 Effect of soil chemical properties on crop yield
It is observed among the three crops planted in the study area (figure 2), that Rice had the highest yield of 4.0 ton/ha followed
by maize with 1.1 ton/ha and okra with 3.1 ton/ha for Phase II while Garden egg had the highest yield of 5.20 ton/ha followed
by watermelon with 3.91 ton/ha while peper had the least yield of 3.1 ton/ha for phase III. Rice yield decreased from 4.0
ton/ha in 2015 to 3.6 ton/ha in 2016 and subsequently decreased to 3.3 ton/ha in 2017 for phase II and Garden egg yield
decreased from 5.2 ton/ha in 2015 to 4.60 ton/ha in 2016 and then decreased to 4.00 ton/ha in 2017 for phase III. The
decrease in the crop yield between 2015 and 2017 may be due to the increase in exchangeable bases, in the soil such as
phosphorous, magnesium, potassium and sodium, in the soil.MaizeandOkro(phaseII)andwatermelonandpepper(phaseIII)
yields decreased slightly from 2015 to 2017 as compared to rice (phase II) and pepper (phase III) yields respectively. This
indicate that there is not much effect of chemical properties on Maize and Okro ascomparedtoRice whichhasbeenaffectedby
increased in chemical content of the soil in phase II, there is a slight negative effect due to chemical properties on the yield of
both Watermelon and Pepper in phase III.
Comparing this with FAO crop yield standards the yields for the crop in both phase II and phase III are lower than the FAO
crop yield standards for each respective crops (figure 1.0). However the one way analysis of variance of the crop yields and
FAO standard as presented in Table 4.1 indicates that the yields of maize, pepper, garden egg and watermelon are significant
while yields of rice and okro are insignificant of 95% level of significance with respect to the FAO standard.
0
5
10
15
20
25
30
2015 2016 2017 FAO
Tons/ha
crop yield vs FAO
Maize
Rice
Okro
Pepper
Garden egg
Watermelon
Figure 1.0 Crop yield in tonnes per hectare
Table 4.1 Analysis of Variance for crop yield with FAO Standard
ANOVA
Sum of
squares
Degree of
freedom
Mean
Square
F Significant
Maize Crop
Between groups
Within Groups
Total
1.688
0.20
1.708
1
2
3
1.688
0.010
168.750 0.006
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5
Rice Crop
Between groups
Within Groups
Total
1.401
0.247
1.648
1
2
3
1.401
0.123
11.358 0.078
Okro Crop
Between groups
Within Groups
Total
6.163
0.687
6.850
1
2
3
6.163
0.343
17.951 0.51
Pepper Crop
Between groups
Within Groups
Total
200.165
0.772
200.937
1
2
3
200.165
0.386
518.249 0.002
Garden Egg
Between groups
Within Groups
Total
177.870
0.720
178.590
1
2
3
177.870
0.360
494.083 0.002
Watermelon
Between groups
Within Groups
Total
462.397
0.193
462.590
1
2
3
462.397
0.097
4781.765 0.000
REFERENCES
1. Saif,U.M, Maqsood, M. Farooq, S. Hussain and Habib, 2003. Effect of plantinganddifferentirrigationlevelsonyieldand
yield component of Maize (Zea mays L.). Int.J.Agric. Biol,. 1:64-66.
2. Maina M. M., Amin, M. S. M., Aimrum, W. & Sani, I. (2012). Soil salinity assessment of Kadawa irrigation of the Kano
river, Agricultural and Environmental Journal, Vol. 10.: WFL Publisher, Science and Technology, Finland.
3. FAO. (1989). Sustainable Development and Natural Resources Management in the state of Food and Agriculture.
4. Negassa, W. & Gebrelaidem H. (2004): Impact of different land usesystemsonsoil qualityofwestern Ethiopianalfisol.
A paper presented resource management and rural poverty reduction through research for development and rural
transformation. Tropentag, Berlin, Germany. http://www.tropentag.de/2004/abstracts/full/265.pdf
5. USDA, (1996). Natural Resources Conservation service, National soil survey centre (1996) soil survey Laboratory
methods, manual soil survey investigations Report No.42 Version 3.0.U.S Dept. Agric. Washington. D.C.
6. Adejumobi M.A., Ojediran J.O and Olabiyi O.O. (2014). Effects of Irrigation Practices on Some soil chemical properties
on Omi Irrigation Scheme. International Journal of Engineering Research and Application 4(10, Part 2):pp29-35.
7. Schoeneberger, P. J., Wysoki, D. A., Benham, E. C., & Broderson W. D. (2002). Field book for descendingandsampling
soils. Version 2.0.lincolin USA: National Soil Survey Center, Natural Resources Conservation Service, USDA.
8. FAO, (1994). Water quality for agriculture, FAO Irrigation and Drainage Paper 29, 1: Rome, Italy.
9. Hart, J., Marx E.S., and Stevens, R.2G. (1999). Soil Test Interpretation Guide.Oregon State University, Corvalis.
10. Edmeades, D.C.; Wheeler, D.M.;Waller, J.E. (1998).Comparison of methods for determininglimerequirementsofNew
Zealand soils. New Zealand Journal of Agricultural Research 28: 93-100.
11. Raghothama K.G. (2000) Phosphorus acquisition; Plant in driver’s seat. Trends Plant Sci 5, 412-413
12. Joseph, T.U., Abraham, T. A. & Terry, I. U. (2014). Irrigation soil analysis in river Katsina and catchment areas of
north-central Nigeria: Department of Civil Engineering, University of Agriculture, Markurdi, Nigeria.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6
13. Marx E. S., Hart J., & Stevens, R. G., (2002).Soil test interpretation guide: Oregon State University extension
communication 1478, Corvallis.
14. Yin, C. (2008).Increasing soil organic carbon of agricultural land: State of New South Walesthrough NSWDepartment
of primary industries. USDA.
15. Oriola, E. O. (2004). Dynamics of soil chemical properties in Oke-oyi irrigation project site of Lower Niger Basin
Development Authority, Ilorin, Nigeria. Geo-studies forum. Vol. 2, No1

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IRJET-Physio- Chemical Properties of Soil and its Influence on Crop Yield of Oke-Oyi Irrigation Scheme, Nigeria

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1 PHYSIO- CHEMICAL PROPERTIES OF SOIL AND ITS INFLUENCE ON CROP YIELD OF OKE-OYI IRRIGATION SCHEME, NIGERIA Adejumobi M.A1, Hussain H.A2, Mudi O.R2 1Department of Agricultural Engineering Ladoke Akintola University of Technology, Ogbomoso, Nigeria) 2Lower Niger River Basin Development Authority, Ilorin, Kwara State, Nigeria. ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - Irrigation is an important factor that determines crop yield and growth due to its association with many factors of plant environment that influence its growth development. Soil quality analysis for irrigation at Oke-Oyi phase II & III irrigation scheme of the Lower Niger River Basin Development Authority (LNRBDA), Kwara State, Nigeria were carried out. This study determined the cause(s) of low yield of selected crops grown on phase II and III of the scheme between the years 2015 to 2017. Soil samples were randomly taken at depths of 0-20 cm, 20-60 cm and 60-100 cm from the operating land in Phase II and III. The soil samples were taken to the laboratory for chemical and physical analysis. Physical analysis results indicated that: the soil of both phase had sandy loam texture; soil moisture contents of 1.08%, 1.05%, 1.12% and 1.09% (phase II) and1.17%, 1.35%,1.02% and 1.76% ( phase III) , infiltration capacities (K) 0.00956 cm/s to 0.0104 cm/s and 0.00876 cm/s to 0.0216cm/s for phase II and III respectively. Chemical analysis results revealed that: soil pH was moderately to slightly acidic (5.30 to 6.8 7) for phase II and moderately acidic (5.72 to 5.88 ) for phase III, the average organic carbon were 0.142-0.267% phase II and 0.0860-0.1151% phase III respectively; available phosphorous content of 20.276 to 28.342mg/l phase II and 19.296 to 30.242 mg/l phase III; ExchangeableSodiumPercentage(ESP), 5.90to10.0%phaseIIand6.80 to 9.02% phase III; Sodium Adsorption Ratio (SAR) 0.10 to 0.32 meg/l phase II and 0.09 me/l to 0.10 me/l for phase III. In 2015, rice yield decreased from 4000 kg to 3600 kg per hectare for in 2016 and subsequently, decreased to 3300kg per hectare in 2017(phase II). Garden egg yield decreased from 5.2 Ton/ha in 2015 to 4.60 Ton/ha in 2016 and subsequently decreased to 4.00 Ton/ha in 2017(phase III). The decrease in the crop yield between 2015 and 2017 in phase II and III may be due to the increase in exchangeable bases in the soil. Crop yield data collected were subjected to analysis of variance (ANOVA)fromthe ANOVAresultsit was concluded that yields of maize, pepper, garden egg and water melon are significant ( P < 0.05) while that of rice and okro are insignificant (P > 0.05). Therefore, there is a need for proper monitoring of the soil condition in the both phase in order to prevent further deterioration since reduction in crop yields have been observed from 2015 to 2017 growing period. Keywords – Crop yield, Soil quality, Irrigation, Soil samples and Operating land 1. INTRODUCTION Irrigation is an important determinant of crop yield and growth because it is associated with many factors of plant environment, which influence growth and development (1). There is a rapid expansion of irrigation schemes in Nigeria dueto increase in population and hence the need for additional food supply. The needs to feed and improve the standard of living of the ever-increasing human population led to the introduction of the irrigation schemes. This has facilitated the cultivation of the same land twice or more in a year and has improved the farmer’s standard of living economically (2). Global drive for sustainable agriculture systems involves optimizing agricultural resources to satisfy human needs and at the same time maintaining the quality of the environment and conserving natural resources (3). The success of soil management to achieve productivity and maintain soil fertility depends on the understanding of how the soil responds to agricultural use and practices (4). Irrigation agriculturecouldhaveadverseeffectsonsoil chemical properties, fertility and sustainable productivity if not well monitored. The chemical properties of a soil give a strong indication of its fertility. Therefore, continued use of soil for irrigation activity in the study area without careful quality assessmentandmonitoringhas given rise to accumulation of salts on the soil and consequently affects the crops potential yield. The aim of the study is to determine the cause(s) of low yield of selected crops grown on phase II and III of the scheme between the years 2015 to 2017.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 2 2. MATERIALS AND METHODS The study was conducted in Oke-Oyi irrigation project of Lower Niger River Basin Development Authority(LNRBDA)situated at Ilorin-East LGA of Kwara State, Nigeria. Oke-Oyi is the head quarter of Ilorin East Local Government Area of Kwara State, which is about 25 km away from Ilorin town along old Ilorin-Jebba Road. The irrigation project site is located between the latitude; 08o 37.322' N and 08o 37.781'N, and Longitude; 04o 45.893'E and 04o 46.027'E of Greenwich Meridian. The total surface area of the irrigation project site is 50 hectares of land which was divided into Phase II (30ha) and Phase III (20ha). Phase II is used for cultivation of arable crops such as Okra, Maize, and Rice with surface area of 12.5ha, 10ha, and 7.5ha, respectively and phase III is used for cultivation of arable crops such as Watermelon, Pepper and Gardeneggwithsurfacearea of 3 ha, 5 ha and 12 ha, respectively. Both phases were small-medium irrigation schemes and basin irrigation system which were used to supply water to the field from the rectangular weir located at the adjacent side of the scheme. 2.1 Soil Sampling Soil samples were taken from sixteen different locations on the irrigatedsectionandfourplaces inthe non-irrigatedsectionon the field making a total 60 samples at three depth intervals (0-20, 20-60 and 60-100cm) for phaseIIandphaseIIIrespectively. Chemical and physical analysis of Soil samples collected were determined using (5) laboratory soil standards. Theparameters determined were; particle size analysis was done by hydrometer method, (i) The soil pH by using glass electrode pH meter in soil-water and soil-KCL filtrates. (ii) The exchangeable cations by flame analyser after extraction with neutral ammonium acetate. (iii) Exchangeable sodium percentage (ESP) was determined using ammonium acetate (NH4OAC) method. (iv)Available phosphorus by Bray I method. (v) Organic carbon using Walkey Black method, involving oxidation of organic matter with potassium chromate and sulphuric acid. From the organic carbon data,organicmatter contentwasthencalculated.Cropyields data collected were subjected to One-way analysis of variance to compare the yield with the FAO standards. 3.0 RESULTS AND DISCUSSIONS 3.1 Physical Analysis Results of the soil particle size analysis revealed that soil in the study areas, phase II and phase III are sandy loam, using textural classification triangle chart. This indicated that the soil of phase II is generally very light-textured with sand percentage averaging more than 75% and loam is 25% and that the soil of phase III is generally very light-textured with sand percentage averaging more than 79% and loam is 21%. Therefore, for phase II, the soils appear moderately suitable for irrigation, but may be drought prone and for phase III, the soils appear moderately suitable for irrigation.(6). The results of the available soil moisture contents obtained for East, West, South and Northern sides of phase II and phase III were; 1.08%, 1.05%, 1.12% and 1.09%, and 1.17%, 1.35%, 1.02% and 1.76%, respectively. The values of infiltration capacities (K) were generally highandvariedfrom0.00956cm/sto0.0104cm/sforphase variedfrom 0.00876cm/s to 0.0216cm/s. According to (7) a coarse sandy soil with(K)valueof10-2 cm/swouldlosewaterattheenormous rate of nearly 10m/day while a fine loam soil with a (K) value of 10-4 cm/sec would lose only about 10 cm/day. The soils inthe study area were dominantly sandy loam texture and show high transmission of water and moderate water holding capacity, well drained and suitable for irrigation (8). 3.2 Chemical analysis The results of the selected average soil chemical properties of phase II and III are presented in Table 1. The soil pH on the field was moderately to slightly acidic for phase II and moderately acidic for phase III, as given by (9) ranged from 5.30 to 6.87 and from 5.72 to 5.88 for phase II and phase III respectively. According to United State Department of Agriculture(USDA),toohigh or too low soil pH leads to deficiency of many nutrients, decline in microbial activities, decreaseincropyieldanddeterioration of soil health. Therefore, the soil of the study area is thus suitable for crop growth. The organic carbon gives a direct measure of available nitrogen of the soil. The average organic carbonin phaseIIrangedfrom 0.142-0.267% and phase III ranged from 0.0860-0.1151% of the entire soil nutrients relating to soil fertility. (10) Stated that organic carbon for the soil is considered high if it is within the range of 0.96-1.08%. It is observed from table 1 that thelevel of organic carbon has decreased from surface depth(0-20cm) to the second depth (20-60cm)and sharply increasedfromsecond depth (20-60cm) to third depth (60-100cm) of the soil for phase II and that the level oforganiccarbonhasgenerallydecreased
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3 from 0.09 to 0.12% for phase III which may be due to lack of return of enough crop residues common to the farmers in the study area. This shows that irrigation has negative effect on the soil organic content. Table 1.0: Average soil chemical properties of phase II and phase III PHASE II PHASE III Parameters 0-20 (cm) 20-60 (cm) 60-100 (cm) 0-20 (cm) 20-60 (cm) 60-100(cm) Ph 6.52 5.3 6.87 5.72 5.77 5.88 Mg++(me/l) 1.36 1.16 2.26 2.06 1.29 2.78 Ca++ (me/l) 5.25 4.36 6.22 4.29 4.99 6.05 Na+ (me/l) 0.25 0.16 0.65 0.18 0.17 0.21 N (me/l) 1.04 0.18 1.15 0.22 1.07 0.32 K (me/l) 0.23 1.26 0.18 1.06 0.29 1.15 OC (%) 0.23 0.14 0.27 0.12 0.11 0.09 OM (%) 0.17 0.16 0.13 0.2 0.19 0.15 P (mg/l) 28.34 26.06 20.28 30.24 24.07 19.29 ESP (%) 10 9.11 5.9 9.02 8.01 6.8 CEC (me/l) 5.34 4.76 5.52 4.75 4.83 4.62 SAR (meg/l) 0.14 0.1 0.32 0.1 0.09 0.1 Phosphorus is an essential element classified as a macro-nutrient because of the relatively large amount required by plants (11). Available phosphorous content of the soil at phase II is highrangedfrom 20.276 to28.342mg/kg.Availablephosphorous content of the soil at phase III ranged from 19.296 to 30.242 mg/l. The level of phosphorous content of the soil ishighandmay be due to moderate organic matter content, parent material and degree of weathering. However, the soil at phase II andphase III will be good for crop that requires much phosphorus. Sodium, which determines the sodicity status of a soil is generally low and ranged from 0.156 to 0.653me/l for phase II and ranged from 0.1722 to 0.2.83me/l. It is observed from Table 1 that the level of sodium for phase II and phase III slightly decreased from soil surface depth (0-20cm) downward to the second depth (20-60cm) and also slightly increased to thethird depth (60-100cm). The low sodium level in the soils indicates a non-sodic status of the soils and thus good for irrigation (12). Exchangeable sodium percentage (ESP) gives the measure of the potential sodium problem and is the percentage of sodium ions out of the total base cations (Ca2+, Mg2+, K+ and Na+) (13).ESP value of thesoil in phaseIIrangedfrom 5.90to 10.0%,ESP value of the soil in phase III ranged from 6.80 to 9.02% as shown in Fig. However, the ESP value has not exceeded 10% which could result to problem on the soil. The implication of a high ESP valueonthesoil issoildeteriorationordamageandunhealthy soil condition as stated by (13). The calcium in the soil of the study area of phase II is generally moderate and ranged from 4.36 – 6.22 me/l and ranged from 4.29-6.05me/l. It can be deduced from the result shown in figure 4. That there is an appreciable increase in the calcium level. This increase could be related to the increase in pH observed which in tending towards moderately acidic. It indicates that irrigation has lead to increase in calcium level of the soils in phase II and phase III. Magnesium ranged from 1.16 – 2.26 me/l and been the dominant cation in phase II and ranged from 1.29 – 2.775/l inphaseIII respectively. Magnesium level decrease from soil surface depth (0-20cm)totheseconddepth(20-60cm)andincreasesharply from the second depth to the third depth (60-100 cm) for phase II and phase III. This increase could be as a result of high magnesium content of irrigation water used for both phases. Magnesium is one of the secondary macronutrient required by plant, it deficiency causes leaf yellowing with brilliant tints (14). Potasium (K) of the soil is moderate for phase II and phase III ranging from 0.23 to 1.26me/ for phase II and from 0.29 to 1.15me/l for phase III respectively. The average value of potasium is 1.175me/l, decline in potasium level from 0-20 cm to 60
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4 cm and subsequently increased to 100 cm soil depth. The value of K that eventually rised from second depth can yield 100% without application of fertilizer (15). Sodium Adsorption Ratio (SAR) is calculated from the Na, Ca, and Mg reported in me/l and the value is ranged from 0.14 to 0.10me/l for phase II and it ranged from 0.09 to 0.10 for phase III. The level of SAR decreased from 0-20 cm to 20-60 cm soil depth and subsequently increased from second depth (20-60 cm) to 60-100 cm soil depth, The SAR values obtained were generally below 13 meq/l1/2 which indicated that the soil of the lands are normal for the growth of crops and the soil structure was in good condition for proper yield. 3.3 Effect of soil chemical properties on crop yield It is observed among the three crops planted in the study area (figure 2), that Rice had the highest yield of 4.0 ton/ha followed by maize with 1.1 ton/ha and okra with 3.1 ton/ha for Phase II while Garden egg had the highest yield of 5.20 ton/ha followed by watermelon with 3.91 ton/ha while peper had the least yield of 3.1 ton/ha for phase III. Rice yield decreased from 4.0 ton/ha in 2015 to 3.6 ton/ha in 2016 and subsequently decreased to 3.3 ton/ha in 2017 for phase II and Garden egg yield decreased from 5.2 ton/ha in 2015 to 4.60 ton/ha in 2016 and then decreased to 4.00 ton/ha in 2017 for phase III. The decrease in the crop yield between 2015 and 2017 may be due to the increase in exchangeable bases, in the soil such as phosphorous, magnesium, potassium and sodium, in the soil.MaizeandOkro(phaseII)andwatermelonandpepper(phaseIII) yields decreased slightly from 2015 to 2017 as compared to rice (phase II) and pepper (phase III) yields respectively. This indicate that there is not much effect of chemical properties on Maize and Okro ascomparedtoRice whichhasbeenaffectedby increased in chemical content of the soil in phase II, there is a slight negative effect due to chemical properties on the yield of both Watermelon and Pepper in phase III. Comparing this with FAO crop yield standards the yields for the crop in both phase II and phase III are lower than the FAO crop yield standards for each respective crops (figure 1.0). However the one way analysis of variance of the crop yields and FAO standard as presented in Table 4.1 indicates that the yields of maize, pepper, garden egg and watermelon are significant while yields of rice and okro are insignificant of 95% level of significance with respect to the FAO standard. 0 5 10 15 20 25 30 2015 2016 2017 FAO Tons/ha crop yield vs FAO Maize Rice Okro Pepper Garden egg Watermelon Figure 1.0 Crop yield in tonnes per hectare Table 4.1 Analysis of Variance for crop yield with FAO Standard ANOVA Sum of squares Degree of freedom Mean Square F Significant Maize Crop Between groups Within Groups Total 1.688 0.20 1.708 1 2 3 1.688 0.010 168.750 0.006
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 5 Rice Crop Between groups Within Groups Total 1.401 0.247 1.648 1 2 3 1.401 0.123 11.358 0.078 Okro Crop Between groups Within Groups Total 6.163 0.687 6.850 1 2 3 6.163 0.343 17.951 0.51 Pepper Crop Between groups Within Groups Total 200.165 0.772 200.937 1 2 3 200.165 0.386 518.249 0.002 Garden Egg Between groups Within Groups Total 177.870 0.720 178.590 1 2 3 177.870 0.360 494.083 0.002 Watermelon Between groups Within Groups Total 462.397 0.193 462.590 1 2 3 462.397 0.097 4781.765 0.000 REFERENCES 1. Saif,U.M, Maqsood, M. Farooq, S. Hussain and Habib, 2003. Effect of plantinganddifferentirrigationlevelsonyieldand yield component of Maize (Zea mays L.). Int.J.Agric. Biol,. 1:64-66. 2. Maina M. M., Amin, M. S. M., Aimrum, W. & Sani, I. (2012). Soil salinity assessment of Kadawa irrigation of the Kano river, Agricultural and Environmental Journal, Vol. 10.: WFL Publisher, Science and Technology, Finland. 3. FAO. (1989). Sustainable Development and Natural Resources Management in the state of Food and Agriculture. 4. Negassa, W. & Gebrelaidem H. (2004): Impact of different land usesystemsonsoil qualityofwestern Ethiopianalfisol. A paper presented resource management and rural poverty reduction through research for development and rural transformation. Tropentag, Berlin, Germany. http://www.tropentag.de/2004/abstracts/full/265.pdf 5. USDA, (1996). Natural Resources Conservation service, National soil survey centre (1996) soil survey Laboratory methods, manual soil survey investigations Report No.42 Version 3.0.U.S Dept. Agric. Washington. D.C. 6. Adejumobi M.A., Ojediran J.O and Olabiyi O.O. (2014). Effects of Irrigation Practices on Some soil chemical properties on Omi Irrigation Scheme. International Journal of Engineering Research and Application 4(10, Part 2):pp29-35. 7. Schoeneberger, P. J., Wysoki, D. A., Benham, E. C., & Broderson W. D. (2002). Field book for descendingandsampling soils. Version 2.0.lincolin USA: National Soil Survey Center, Natural Resources Conservation Service, USDA. 8. FAO, (1994). Water quality for agriculture, FAO Irrigation and Drainage Paper 29, 1: Rome, Italy. 9. Hart, J., Marx E.S., and Stevens, R.2G. (1999). Soil Test Interpretation Guide.Oregon State University, Corvalis. 10. Edmeades, D.C.; Wheeler, D.M.;Waller, J.E. (1998).Comparison of methods for determininglimerequirementsofNew Zealand soils. New Zealand Journal of Agricultural Research 28: 93-100. 11. Raghothama K.G. (2000) Phosphorus acquisition; Plant in driver’s seat. Trends Plant Sci 5, 412-413 12. Joseph, T.U., Abraham, T. A. & Terry, I. U. (2014). Irrigation soil analysis in river Katsina and catchment areas of north-central Nigeria: Department of Civil Engineering, University of Agriculture, Markurdi, Nigeria.
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 6 13. Marx E. S., Hart J., & Stevens, R. G., (2002).Soil test interpretation guide: Oregon State University extension communication 1478, Corvallis. 14. Yin, C. (2008).Increasing soil organic carbon of agricultural land: State of New South Walesthrough NSWDepartment of primary industries. USDA. 15. Oriola, E. O. (2004). Dynamics of soil chemical properties in Oke-oyi irrigation project site of Lower Niger Basin Development Authority, Ilorin, Nigeria. Geo-studies forum. Vol. 2, No1