Geo-multivariate analysis of crop yield and soil properties of students industrial training farm in Ado Ekiti, Southwest Nigeria

Awe, Gabriel Oladele; Nurudeen, O. O.; Ogunleye, Kayode Samuel; Ayodele, Ayodeji Ayowale

doi:10.1080/03650340.2020.1767773

Cited by 4 publications

(3 citation statements)

References 37 publications

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“…Olakojo and Onanuga [14] applied a long-run causality test, Markovswitching regression, and a structural vector autoregressive model to study the effect of climate change on cassava, yam, maize, okra, millet, groundnut, cowpea, sorghum, cocoyam, and rice. Geomultivariate analysis was employed to study crop yield and soil properties [15]. Geospatial analysis and analysis of variance have been applied to study the effect of soil properties and their consequences on the yield of maize and cassava [16].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana

Dwamena

Tawiah

Kodua

2022

International Journal of Agronomy

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This study examined the consequences of changes in minimum temperature, maximum temperature, relative humidity, and rainfall on the yields of maize, cassava, and yam per hectare of land in the Ashanti Region of Ghana. Correlation analysis of each climatic condition on the yield of each crop per hectare of land revealed that each of the climatic conditions was significant in predicting the crop yields. Separate multiple linear regression models were obtained for crop yield per hectare of land under all the climatic conditions. The regression models showed that an increase in maximum temperature reduces the yield of all the crops, whereas an increase in minimum temperature reduces only the yield of maize. Increases in relative humidity reduce the yield of maize alone, while increases in rainfall reduce the yield of only cassava. The significant multiple linear regression model for each crop yield indicated that 63.8% of the variations in the yield of maize per hectare of land, 74.3% of the variations in the yield of cassava per hectare of land, and 64.2% of the variations in the yield of yam per hectare of land are accounted for by minimum temperature, maximum temperature, relative humidity, and rainfall. We encourage the Government of Ghana, the Ministry of Food and Agriculture, and all stakeholders in the agriculture sector to increase their campaign on the consequences of climate change on the yield of these crops. They should educate farmers on the effects of overreliance on rainfed and traditional agricultural methods, introduce them to modern methods of agriculture, and provide them with varieties of these crops with higher-yielding capacities in higher temperatures.

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Section: Introductionmentioning

confidence: 99%

The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana

Dwamena

Tawiah

Kodua

2022

International Journal of Agronomy

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“…Strong and MSD might be induced by inherent soil characteristics, including soil texture, topography, climate, and soil biology, whereas weak spatial structure may be caused by extrinsic factors, for example, land‐use practices (Awe, Nurudeen, Amiola, et al., 2018bib4; Awe, Nurudeen, Omotoso, et al., 2018; Awe et al., 2020). Strong spatial dependencies of soil characteristics could also be ascribed to climate, parent substances, topography, organisms, and time (Cambardella et al., 1994; Wang et al., 2009; Tesfahunegn et al., 2011).…”

Section: Resultsmentioning

confidence: 99%

Variability modeling and mapping of soil properties for improved management in Ethiopia

Tiruneh

Alemayehu

Meshesha

et al. 2023

Agrosystems Geosci & Env

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Managing soils for improved agricultural production requires information on soil fertility status. Our objective was to map for better soil management in Ethiopia and determine their spatial correlation at a separation distance of 29 m. We collected 82 soil samples (0–20 cm depth) at 560 ha of land and determined pH, Olsen extractable phosphorus (Olsen‐P), and organic carbon (OC). We then interpolated between sample points (ordinary kriging‐OK and distance weighting‐IDW [inverse distance weighting]) to evaluate spatial dependence. Olsen‐P ranged from 2.68–42 mg/kg and exhibited high variability with a coefficient of variation (CV) ≥35%. Conversely, soil pH showed low variability (CV ≤ 15%) and ranging from 4.84 to 6.81. Soil OC content varied from 0.81% to 3.17%. The IDW (R2 = 0.86; RMSE = 0.019) outperformed the OK. The semivariogram results indicate a strong dependence for pH and OC for spherical, exponential, and Gaussian models, while moderately spatially auto correlated for Olsen‐P for all models. The IDW and OK predict the spatial variability of the pH (moderately acidic), Olsen‐P (low), and OC (very low) contents. The soil maps may help to improve soil management alternatives, increase crop productivity, and secure environmental quality.

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“…The knowledge of soil properties is very useful in determining soil characteristics, quality, and productivity. These soil properties also exhibit spatial correlation among the variables that result from different management practices, for example, land use option, tillage operations, grazing, fertilizer applications, and so on (Oyedele et al, 1992;Nurudeen et al, 1994;Yimer et al, 2007;Alemayehu and Sheleme, 2013;Awe, 2017;Awe et al, 2018aAwe et al, , 2018bAwe et al, 2020). The conversion of natural forest to cultivated land is a leading cause of soil degradation.…”

Section: Introductionmentioning

confidence: 99%

Multivariate Analysis of Land Use Impact on Soil Water Content and Some Physicochemical Properties of an Alfisol

Echebiri

Awe

2022

Turkish JAF Sci.Tech.

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Land use could impact soil properties and processes in varying degrees. Therefore, the impact of different land use systems on soil water status and its relationship with some physiochemical properties was studied at the Teaching and Research Farm, Ekiti State University, Ado Ekiti, Nigeria. The land use types included native forest (NF); Paddock (P); Oil palm plantation (OP); Teak (TK); new yam plot (NY) and yam plot under fallow (YF). Structure and disturbed surface soils (0 - 15 cm) samples were taken at three (3) locations in each land use type. Soil water content (SWC) significantly varied among the different land use types, with oil palm plantation storing the highest amount of water. The results also showed significant differences in soil bulk density, organic carbon, porosity, texture and hydraulic conductivity among the land use types. SWC associated positively and significantly with organic matter, silt content and silt + clay. The association between SWC and pH and silt/clay were positive but weak while particle density, bulk density and sand content showed negative and significant association. The principal component regression (PCR) showed a highly significant, positive relationship between SWC and the principal components of other physicochemical properties. Cluster analysis showed that SWC is highly related and linked to OM, Bd, Pd, Pt and silt/clay. The results implied that conversion to paddock and continuous cultivation led to depletion in soil water, physical and chemical properties, whereas cultivation of tree crops conserved these soil properties better. Therefore, establishment of tree crop and conservative soil management practices are suggested to prevent agricultural lands from degradation in areas with soils under similar conditions.

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Geo-multivariate analysis of crop yield and soil properties of students industrial training farm in Ado Ekiti, Southwest Nigeria

Cited by 4 publications

References 37 publications

The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana

The Effect of Rainfall, Temperature, and Relative Humidity on the Yield of Cassava, Yam, and Maize in the Ashanti Region of Ghana

Variability modeling and mapping of soil properties for improved management in Ethiopia

Multivariate Analysis of Land Use Impact on Soil Water Content and Some Physicochemical Properties of an Alfisol

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