The response of potato crop to the spatiotemporal variability of soil compaction under centre pivot irrigation system

Edrris, Mohamed K.; Al‐Gaadi, Khalid A.; Hassaballa, Abdalhaleem A.; Tola, ElKamil

doi:10.1111/sum.12553

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…Such outlier (sand vs non-vegetation) could be considered for a univariate-type Moran's I so as to be able to measure the presence of spatial clusters/outliers among the assessed values of every single parameter. Hence, the robustness of the spatial association between average values corresponding to the values within the neighboring locations, for the same parameter will be examined ( Edrris et al, 2020 ). However, the univariate Moran's I was yet considered as part of the current spatial autocorrelation, as the spatial representation of biomass cover along with soil parameters was considered.…”

Section: Discussionmentioning

confidence: 99%

Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia

Alzarah

Hassaballa

Salih

2021

Saudi Journal of Biological Sciences

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Through most of the natural rangelands of Saudi Arabia, overgrazing, sand drifting, and off-road vehicles driving are almost the major contributing factors that lead to vegetation damage and land degradation in natural landscapes. The current study aimed at examining the dynamic nature of Abqaiq rangelands' vegetation, generating a vegetation intensity map, and investigating possible impacts caused by the spatial variability of obtained soil texture, sand content (%), and the derived available water capacity (DAW capacity (%)) on the intensity distribution of vegetation cover. Ordinal-nominal correlation type and spatial autocorrelation processes were adopted throughout the study to analyze the spatial correspondences as well as the interrelated patterns of the given variables. The resultant correlation between vegetation and soil texture (ordinal versus nominal variables) has yielded a significant (p-value < 0.001) relevancies, where, silt loam texture class, in particular, has proven to have the most correlated values to the most intensive vegetation habitats, where 5%, 35%, and 28% of the silt loam class were occupied by 80%, 60%, and 40% of vegetation intensities, respectively. Whereas, for the continuous variables, correlation outcomes have achieved a substantial negative spatial autocorrelation concerning vegetation intensity and sand content percentage, revealing a total absence of green biomass over the sandy soils. Additionally, vegetation intensity versus DAW capacity percentage significantly yielded a positive autocorrelation, revealing a high clustering of green biomass cover that associates with high clustering of high-water capacity soils. The autocorrelation strength identifier (Morn's I ), produced an approximate value of 0.3 with a pseudo p -value of 0.001, for both relationships. The findings of this study would help researchers and relative authorities to grasp the reasons, consequences and behaviors of rangeland flora, considering Abqaiq's area as an example.

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Section: Discussionmentioning

confidence: 99%

Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia

Alzarah

Hassaballa

Salih

2021

Saudi Journal of Biological Sciences

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“…Through the analysis of the coupling coordination degree among provinces within the eight economic regions, it is initially found that there is a certain regional spatial effect on the coupling coordination degree of the energy-economy-carbon emission system in China. To further test the spatial interaction effect of energy-economy-carbon emission systems in different regions, Moran's I index is used referring to the related research [41][42][43][44][45]. The results are shown in Table 4.…”

Section: Spatial Correlation Testmentioning

confidence: 99%

Coupling coordination development of energy-economy-carbon emissions in China under the background of “double carbon”

Dong

Zhang

2022

PLoS ONE

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Based on the panel data of 30 provinces in China from 2010 to 2019, this paper measured the coupling coordination development of energy-economy-carbon emissions and investigated its regional differences and spatial convergence. The research methods in this paper include entropy weight technique method for order preference by similarity to an ideal solution, coupling coordination degree model, Dagum Gini coefficient and decomposition method, Moran’s I index, σ convergence model and β convergence model. The study found that the coupling coordination degree of energy-economy-carbon emissions in China has been continuously improved and has obvious regional and stage characteristics, but it is still on the verge of imminent disorder; the overall difference in the coupling coordination degree of energy-economy-carbon emissions shows a decreasing and then increasing trend, the main source of which is inter-regional differences; the coupling coordination degree of energy-economy-carbon emissions has a positive spatial correlation; except for the Southern Coastal Economic Zone and the Middle Yangtze River Economic Zone, there is no significant σ-convergence and β-convergence in the coupling coordination degree of energy-economy-carbon emissions system in other economic zones; the coupling coordination degree of energy-economy-carbon emissions changes fastest in the Middle Yangtze River Economic Zone. The innovation of this paper is to measure the coupling coordination degree of energy-economy-carbon emissions and to analyse its regional differences and spatial effects. It is of great practical significance to promote the coupling coordination development and regional balanced development of energy-economy-carbon emissions in China under the background of "dual carbon".

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“…Soil compaction causes the decline in soil macro-pores and the raise in both soil density and soil strength. It imposes detrimental influences on crop production due to it creates a poor environment for plant root growth moreover reduces water infiltration and increases runoff, thus, soil erosion (Edrris et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Center Pivot Wheel Traffic and its Impact on Soil Compaction

Abo-Habaga

El-Banna

Abu-Zeid

2022

Journal of Soil Sciences and Agricultural Engineering

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The machine wheel track is considered one of the essential factors affecting wheat crop yield and soil compaction. Therefore, the current investigation was implemented aiming at assessing the influence of center pivot wheel traffic on soil compaction and crop yield at center pivot wheel track and adjacent soil. The main results of the current study can be summarized as follows: 1-The highest soil penetration resistance was recorded at the wheel track between1.0-2.0cm depth. 2-The penetration resistance gradually reduced to 45.0cm on each side of the wheel track Thus, root depth and distribution area followed an opposite trend. 3-The plants grown adjacent to the track of the wheel (0-45cm apart from the wheel traffic) realized the spread of roots to a depth of 15cm.While the spread of wheat roots in the other areas was 18.0and20.0cm. 4-A decline in the density of roots of plants grown in the area adjacent to the wheel track compared to that of plants grown in other both areas. The average of root distribution area of plant grown of plant grown in the area adjacent to the wheel path (0-45cm apart from the wheel traffic) was approximately 320 cm 2 /plant, while the average values were 550 and 600 cm 2 /plant for other both areas (45-90and90-135cm apart from the wheel traffic, respectively). From the tabled data in this paper, it can be concluded that more care should be taken into consideration, in selecting the suitable system of seedbed preparation to avoid transporting pressure of the pivot wheel to adjacent soil.

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The response of potato crop to the spatiotemporal variability of soil compaction under centre pivot irrigation system

Cited by 5 publications

References 16 publications

Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia

Spatial analysis of rangeland's vegetation intensity as related to selected physical soil variables over ABQAIQ municipality of Saudi Arabia

Coupling coordination development of energy-economy-carbon emissions in China under the background of “double carbon”

Evaluation of Center Pivot Wheel Traffic and its Impact on Soil Compaction

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