Spatial Variation in Surface Soil Total Carbon and Its Relationship with Soil Color in a River Floodplain Ecosystem of Northern Ghana

Katsura, Keisuke; Watanabe, T.; Moritsuka, Naoki; Tsujimoto, Yasuhiro; Inusah, Baba I. Y.; Dogbe, Wilson; Oda, Masato

doi:10.6090/jarq.52.219

Cited by 4 publications

(2 citation statements)

References 34 publications

(42 reference statements)

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“…Comparing between the rain-fed lowland and upland, soil particle size had % TS and % clay as the soil particle with significant differences (0.008** and 0.01* respectively) (Table 2). The higher % clay is because clay differ even among adjacent fields depending on topography (Moritsuka et al, 2014;Katsura et al, 2018). The higher sand fraction obtained in this study is in agreement with the work of Gupta et al, 2019 in Jhartkland where upland soils have higher sand fraction with lower silt and clay comparative to lowland.…”

Section: Resultssupporting

confidence: 92%

Nutrient Assessment of Rain-Fed Lowland and Upland Rice Production Systems in Okigwe, South-Eastern Nigeria

Monica Nwawuike

2024

African Journal of Agriculture and Food Science

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The study was carried out to assess the nutrient status of the two major rice production systems (rain-fed lowland and upland) and the relationship among the nutrient contents of the soil in Okigwe area of Imo State, Nigeria. Soil samples from 15 cm depth were collected from 10 farms in the area: 5 farms from rain-fed lowland and 5 from upland rice production system. The soil samples were prepared and analyzed for macro and micro nutrients together with the particle size distribution. The results from the nutrient concentration in both rain-fed lowland and upland soils showed that pH favoured conditions for more availability of nutrients as seen in upland soils. The t-test results indicates a significant variation in % Clay (0.01*), % TS (0.008**), pH (0.0005**), TN (0.038*), available P (0.01*), Exchangeable Ca (0.03*) and Extractable B (0.02*). Correlation results showed TN as the major determinant of the other soil nutrients in both rain-fed lowland and upland rice production systems. In rain-fed lowland production system, TN correlated negatively and strongly with % TS (-0.81) and Cu (-0.70) with a weak negative association with Na (-0.57), K (-0.55), Mg (-0.50), available P (-0.57) and Fe (-0.64). In the upland rice production system, TN also had a negative association with many soil nutrients though some were weakly correlated while some were of strong association. They include Ca (-0.93), Mg (-0.65), Cu (-0.86), Mn (-0.69) and Zn (-0.76) with a positive association with Na (0.83) and pH (0.69). Despite TN being perceived as the major determinant of nutrients, OM in upland soils had a more positive association with other nutrients compared to that in the lowland soils. Hence, any management practices which will enhance nutrient status should be encouraged to help boost and sustain rice yield in both rain-fed lowland and upland rice production systems.

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Section: Resultssupporting

confidence: 92%

Nutrient Assessment of Rain-Fed Lowland and Upland Rice Production Systems in Okigwe, South-Eastern Nigeria

Monica Nwawuike

2024

African Journal of Agriculture and Food Science

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“…Topography-dependent differences in soil properties can be suitable for integration into field-specific fertilizer management practices because geographical information for individual fields can now be collected rapidly and accurately at relatively low cost using an unmanned aerial vehicle, in comparison with conventional soil chemical analysis or on-farm nutrition trials. A simplified SOC estimation method using a soil color sensor can also be used onsite, for its applicability to lowland soils has been demonstrated in Japan (Moritsuka, Matsuoka, Katsura, Sano & Yanai, 2014) and northern Ghana (Katsura et al, 2018). Moreover, there is the opportunity to integrate farmers' perceptions of the color and texture of their soil into field-specific fertilizer management practices (Saito, Linquist, Keobualapha, Shiraiwa & Horie, 2006).…”

Section: Deficiencies In Macro-and Micro-nutrients Apart From N P Amentioning

confidence: 99%

Challenges and opportunities for improving N use efficiency for rice production in sub-Saharan Africa

Tsujimoto

Rakotoson

Tanaka

et al. 2019

Plant Production Science

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115

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In sub-Saharan Africa (SSA), rice production from smallholder farms is challenged because of a lack of fertilizer inputs and nutrient-poor soils. Therefore, improving nutrient efficiency is particularly important for increasing both fertilizer use and rice yield. This review discusses how to improve the return from fertilizer input in terms of agronomic N use efficiency (AE N), that is, the increase in grain yield per kg of applied N, for rice production in SSA. The AE N values we summarized here revealed large spatial variations even within small areas and a certain gap between researcher-led trials and smallholder-managed farms. Experimental results suggest AE N can be improved by addressing spatial variations in soil-related factors such as P, S, Zn, and Si deficiencies and Fe toxicity in both irrigated and rainfed production systems. In rainfed production systems, differences in small-scale topography are also important which affects AE N through dynamic changes in hydrology and variations in the contents of soil organic carbon and clay. Although empirical evidence is further needed regarding the relationship between soil properties and responses to fertilizer inputs, recent agricultural advances have generated opportunities for integrating these micro-topographical and soil-related variables into field-specific fertilizer management. These opportunities include UAV (unmanned aerial vehicle) technology to capture microtopography at low cost, database on soil nutrient characteristics at high resolution and more numbers of fertilizer blending facilities across SSA, and interactive decision support tools by use of smartphones on site. Small-dose nursery fertilization can be also alternative approach for improving AE N in adverse field conditions in SSA.

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Predicting the color of sandy soils from Wisconsin, USA

et al. 2020

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Spatial Variation in Surface Soil Total Carbon and Its Relationship with Soil Color in a River Floodplain Ecosystem of Northern Ghana

Cited by 4 publications

References 34 publications

Nutrient Assessment of Rain-Fed Lowland and Upland Rice Production Systems in Okigwe, South-Eastern Nigeria

Nutrient Assessment of Rain-Fed Lowland and Upland Rice Production Systems in Okigwe, South-Eastern Nigeria

Challenges and opportunities for improving N use efficiency for rice production in sub-Saharan Africa

Predicting the color of sandy soils from Wisconsin, USA

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