Assessing the probability of land submergence for lowland rice cultivation in Africa using satellite imagery and geospatial data

Yamamoto, Yukiyo; Tsujimoto, Yasuhiro; Fujihara, Yoichi; Sakagami, Jun‐Ichi; Ochi, Shiro; Fosu, Mathias

doi:10.1007/s10668-012-9363-7

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…The water depth in Lss was not as deep as in Lds and thus rice production was one of the possible options for farmers due to the distance from the water source. Yamamoto et al (2012) reported a highly negative correlation of the distance from the water source with soil fertility on the ZFP. Although Lss could be a candidate for rice growth, the mean factor score of FA in soil fertility and sulfur content were negative values as shown in the results of FA (Fig.…”

Section: (3) Evaluating Soil Characteristics and Identifying Problemsmentioning

confidence: 99%

“…The Northern Region covers about 30% of Ghana's total land area and is considered a granary where the rice harvest area and rice production area represent 35% and 38% of the country's total, respectively (MOFA 2011). In this region, Yamamoto et al (2012) developed a method of assessing flood probability in order to select suitable areas where water for rice farming can be obtained naturally. Tsujimoto et al (2013) showed that seasonal flooding played a crucial role in the N-supplying capacity of soil on the floodplains, and this capacity was quantitatively predicted as a logarithmic function of the distance from a main river.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Potential of Underdeveloped Land for Rice Production in Sub-Saharan Africa — A Case Study of Floodplains in the Northern Region of Ghana, West Africa

Hayashi

Tsujimoto

Hatta

et al. 2017

JARQ

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This study aimed to identify suitable areas for rice cultivation by evaluating the soil characteristics of underdeveloped land in Sub-Saharan Africa. Two transect lines were set on the Zaw floodplain (ZFP) along the White Volta River in the Northern Region of Ghana for a detailed survey on land types and soil sampling. Land types identified along the transect lines were upland (U), lowland grass (Lg), lowland shallow swamp (Lss), and lowland deep swamp (Lds). The soil texture for U, Lg, and Lss was classified as silt loam (SiL), while Lds was classified as silty clay loam (SiCL). Soil pH (H2O) was above 6 for U and Lg, and below 6 for Lss and Lds. Extractable S and available Zn were significantly greater in Lds than in other land types. Available Cu, Mn, Ni, and total nitrogen (T-N) were significantly lower in U, and total carbon (T-C) was significantly greater in Lds than in other land types. Factor analysis indicated that Lds had better soil fertility and sulfur availability than other land types. However, it seemed unsuitable for rice production due to deep water depth during the rainy season. Although Lss seemed to be relatively less suitable than Lds due to low soil fertility and low sulfur availability, the water depth in Lss was not as deep as in Lds. Access to a water source was easier in Lss than in Lg; thus, the Lss land type was considered comparatively suitable land for rice production in the study area. Nevertheless, the result implies that soil fertility and sulfur could be constraints, thereby requiring the proper application of fertilizer.Discipline: Watershed and regional resources management Additional key words: Soil fertility, sulfur deficiency, food security, Tamale

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Section: (3) Evaluating Soil Characteristics and Identifying Problemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating the Potential of Underdeveloped Land for Rice Production in Sub-Saharan Africa — A Case Study of Floodplains in the Northern Region of Ghana, West Africa

Hayashi

Tsujimoto

Hatta

et al. 2017

JARQ

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“…The demand for rice is rapidly increasing in many countries in sub-Saharan Africa. To keep pace with increasing demand, sub-Saharan African countries have increased rice production almost five times in the past 50 years from 3.14 million to 14.6 million tonnes [1]. Despite this rapid increase in rice production, about 40% of rice consumed in sub-Saharan Africa is imported [2].…”

Section: Introductionmentioning

confidence: 99%

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2018

MCDA

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This paper assesses the impact of agricultural training on technical efficiency using country-wide data from 515 rice producing households in The Gambia. We use the Data Envelopment Analysis technique to generate technical efficiency scores and to identify factors influencing technical efficiency using a Tobit model. We apply propensity score matching, using technical efficiency scores as the outcome variable, to control for selection bias and identify causal effects of participation in agricultural training programs. To test the plausibility of conditional independence, we conduct Rosenbaum bounds sensitivity analysis with matched data as well as mean absolute standard bias tests between participants and non-participants. The results indicate that agricultural training significantly increases the technical efficiency of smallholder rice farmers by 10 percentage points. Further analysis reveals that farmer contact with extension workers and association membership are significant factors influencing technical efficiency.

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Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a floodplain ecosystem in West Africa

Katsura

Tsujimoto

Oda

et al. 2016

European Journal of Agronomy

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Assessing the probability of land submergence for lowland rice cultivation in Africa using satellite imagery and geospatial data

Cited by 5 publications

References 4 publications

Evaluating the Potential of Underdeveloped Land for Rice Production in Sub-Saharan Africa — A Case Study of Floodplains in the Northern Region of Ghana, West Africa

Evaluating the Potential of Underdeveloped Land for Rice Production in Sub-Saharan Africa — A Case Study of Floodplains in the Northern Region of Ghana, West Africa

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Genotype-by-environment interaction analysis of rice (Oryza spp.) yield in a floodplain ecosystem in West Africa

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