Soil suitability for the production of rice, groundnut, and cassava in the peri-urban Niayes zone, Senegal

Diallo, Mariama Dalanda; Wood, Stephen A.; Diallo, Aly; Mahatma-Saleh, Minda; Ndiaye, Ousmane; Tine, Alfred Kouly; Ngamb, Thierno; Guisse, Mamadou; Seck, Seynabou; Diop, Aliou; Guisse, Aliou

doi:10.1016/j.still.2015.09.009

Cited by 35 publications

(32 citation statements)

References 16 publications

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“…The FAO land evaluation (LE) has limitations in characterizing the dynamics and spatial variability of biophysical factors such as soil properties, climate, and crop requirements being adopted worldwide in land use exercise. (Bui tan Yen et al 2013;Bhaskar et al 2015).The soil -site suitability for ground nut production was used for small holder farmers in Chisamba district Zambia (Chirwa et al 2016) and in periurban Niayeszone Senegal (Diallo et al 2016) with limitations of soil acidity and soil fertility where as soil moisture retention capacity, nutrient availability and nutrient retention were critical factors to the management of groundnut in Haplustalfs of Nigeria (Maniyunda et al 2014, Ahukaemere et al 2015. In India, soil suitability assessment made in different landforms of Meghal command area of Southern Saurashtra, Gujarat state and reported the biophysical constraints of shallow depth, poor fertility, bulk density and low saturated hydraulic conductivity (Savalia and Gundalia, 2009;Gundalia, 2010, Patel et al, 2012;Selvaraj and Naidu, 2012;) and high pH and , saline/sodic soils in Western Saurashtra region of Gujarat (Meena et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Land evaluation for groundnut (Arachis hypogaea L.) production in Pulivendula tehsil, Kadapa district, Andhra Pradesh, India

Hegde¹,

Bhaskar²,

Niranjana³

et al. 2017

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The land evaluation for enhancing ground nut (Arachis hypogaea L.) production in Pulivendula tehsil, Kadapa district was carried out as per FAO approach using soil map with 43 mapping units generated on 1:25000 scale and GIS technology to build thematic maps of suitable land units for peanut production with agroeconomic analysis. The land suitability analysis showed that 42.08 per cent of total cropped area is moderately suitable over current area of 14.8 per cent. with limitation of salinity, rooting depth, surface stoniness, gravelliness and soil texture. The economic evaluation for each soil mapping unit showed that only Pulivendula series has recorded benefit cost ratio more than 2 but in others this ratio is less 1.Results of landuse analysis suggested that participatory and bottom-up approaches are needed to understand the problems and opportunities in household agricultural production in order to develop appropriate landuse plans.

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Section: Introductionmentioning

confidence: 99%

Land evaluation for groundnut (Arachis hypogaea L.) production in Pulivendula tehsil, Kadapa district, Andhra Pradesh, India

Hegde¹,

Bhaskar²,

Niranjana³

et al. 2017

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“…This condition is influenced by the planting pattern applied by Nuabosi cassava farmers and the use of low-dose inorganic fertilizers (Arifin, 2010;Suroyo et al, 2013;Margolang et al, 2015;). Whereas when viewed from the land suitability, the soil texture of sandy is quite suitable for cassava plants (Diallo et al, 2016). Other variables seen in this study are soil color and effective depth.…”

Section: The Physical Properties Of the Soilmentioning

confidence: 74%

Identification of Agricultural Activities and Soil Fertility in the Cultivation Area of Nuabosi Cassava

Mutiara

Bolly²

2019

Caraka Tani J. Sustain. Agric.

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<p>The low soil fertility is one of the causes of the reduction in cassava production in the Nuabosi area of Ende Regency. Therefore it is necessary to identify soil fertility and farmer activities on the land. This research used survey system by takes soil samples and farmers from ten fields in five villages, namely Ndetundora I, Ndetundora II, Ndetundora III, Embuteru and Randotonda. Determination of land were used purposive sampling method. Whereas farmer activity data is obtained by interviewing farmers whose land is used as land sampling. Variables observed were physical and chemical soil properties. The results of the analysis of agricultural activities can be described using existing theories. While the analysis results of the physical and chemical properties of the soil can be described using chemical criteria and soil fertility from the Bogor soil research center. The results of interviews and direct observations in the field showed that Nuabosi cassava farmers did not only plant cassava but also used conservative agricultural on their land. The physical properties of the soil analyzed showed that the soil was suitable for cassava plants. Based on soil fertility criteria, these lands have a limiting factor for C-Organic.</p>

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“…The agricultural land suitability for irrigation assessment is defined as the process of land performance assessment when the land is used for alternative kinds of irrigations (Ahmed, 2016; Diallo et al, 2016). The principle purpose of the agricultural land suitability for irrigation evaluation is to predict the potential land and its limitation for kinds of irrigation methods (AbdelRahman et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Using a fuzzy logic decision system to optimize the land suitability evaluation for a sprinkler irrigation method

Hoseini

Kamrani

2018

Outlook Agric

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Land evaluation for irrigation is the process of predicting land use potential on the basis of soil attributes. The Food and Agriculture Organization (FAO) framework for land suitability evaluation is the most commonly used and is based on the biophysical properties of lands. The FAO framework method for land suitability application Boolean approach that has been criticized by some researchers. Because the Boolean representations ignore the continuous nature of soil and uncertainties in measurement and also its inability for overcoming problems related to vagueness in definition and other uncertainties, fuzzy set methodologies have been proposed. In the present study, the qualitative land suitability evaluation for sprinkler irrigation using parametric-based FAO learning and fuzzy inference system was carried out in an area of 5175 ha in Northwest Iran. By overlaying the layers (soil texture, soil depth, lime, electric conductivity, drainage, and slope) and use of spatial data modeler in ArcGIS 9.3, land evaluation maps for sprinkler irrigation were provided for the area under study. Results showed that based on the parametric approach, 1598 ha of the study area were classified as highly suitable (S1 class) for sprinkler irrigation; the area of highly suitable lands in the parametric method was about five times the area of highly suitable lands obtained through the fuzzy method. In addition, the two methods were completely different in determining moderately suitable lands (S2). Accordingly, 787 ha in the area was moderately suitable using the parametric method, which was about two times that obtained through the fuzzy method. This showed the significant difference between two methods applied to evaluate the lands. Moreover, fuzzy approaches accommodate the continuous nature of some soil properties and produce more intuitive distributions of land suitability indexes.

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Soil suitability for the production of rice, groundnut, and cassava in the peri-urban Niayes zone, Senegal

Cited by 35 publications

References 16 publications

Land evaluation for groundnut (Arachis hypogaea L.) production in Pulivendula tehsil, Kadapa district, Andhra Pradesh, India

Land evaluation for groundnut (Arachis hypogaea L.) production in Pulivendula tehsil, Kadapa district, Andhra Pradesh, India

Identification of Agricultural Activities and Soil Fertility in the Cultivation Area of Nuabosi Cassava

Using a fuzzy logic decision system to optimize the land suitability evaluation for a sprinkler irrigation method

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