scholarly journals Suitability assessment for oil palm (Elaeis guineensis) and coconut (Cocus nucifera) cultivation in coastal plain sands of South Southern Nigeria

2021 ◽  
Vol 6 (3) ◽  
pp. 130
Author(s):  
Faith Ehinomhen Okunsebor ◽  
Aigboghosa Samson Umweni ◽  
Lucky Agbogun

Some soils of coastal plain sands in South Southern Nigeria were assessed for oil palm and coconut cultivation. This research was carried out to evaluate the soils of the study area using rigid grid soil survey methodology at detailed scale. The study area (128.11 ha) was delineated into four soil mapping units based on soil type. A pedon was sunk in each mapping unit and described according to FAO. Three soil orders, including Entisols (Ahiara), Inceptisols (Kulfo) and Ultisols (Orlu), were identified. Parametric and limitation methods of land suitability evaluation were used. Major limitations to assessment were climate (mean annual temperatures) and soil physical properties (texture/structure). Aggregate suitability rating (both actual and potential) showed that Ultisols (pedons 3 and 4, covering 56.73 ha) was moderately suitable (S2) for coconut and marginally suitable (S3) for oil palm, Inceptisols (pedon 2, covering 54.25 ha) was marginally suitable (S3) for coconut but not suitable (NS) for oil palm, and Entisols (Pedon 1covering 17.13 ha) was not suitable (NS) for any of the crops. Thus, area with Entisols should not be used for cultivation of any of the crops due to major limitation in texture. Moreover, both assessment approaches captured the major limitations. Therefore, the use of any of the approaches employed in this study and for these crops becomes a matter of choice as both of them showed no major differences in the application of their procedures.

2021 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Kaananwii Dum Peter ◽  
Aigboghosa Samson Umweni

Soils of Khana Local Government Area of Rivers State, Southern Nigeria were evaluated using semi detailed soil survey for citrus cultivation. The purpose of this research was to evaluate the suitability of soils of the study area for the cultivation of citrus. The total land area covers 49,631.54 ha and was delineated into eight mapping units based on the soil types. One pedon each was dug in each mapping unit and described using the FAO system. The nonparametric method of soil suitability evaluation was used. Four soil orders, majorly Inceptisols/Cambisols, Entosols/Arenosols, Ultisols/Acrisols, and Alfisols/Lixisols, were identified in the area. The results showed that land requirements/characteristics such as climate (mean annual rainfall), wetness (depth to water table) and fertility made the land marginally suitable (S3) to not suitable (N) for citrus cultivation across the eight pedons. The three limitations for citrus cultivation in the area are climate (annual rainfall), wetness (depth to the water table) and fertility (low status of NPK and pH). The land is potentially suitable for citrus cultivation but currently marginally and not suitable due to these three limitations.


2020 ◽  
Vol 10 (07) ◽  
pp. 257-273
Author(s):  
Georges Kogge Kome ◽  
Fritz Oben Tabi ◽  
Roger Kogge Enang ◽  
Francis Brice Tedou Silatsa

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.


2016 ◽  
Vol 81 ◽  
pp. 1-14 ◽  
Author(s):  
Tiemen Rhebergen ◽  
Thomas Fairhurst ◽  
Shamie Zingore ◽  
Myles Fisher ◽  
Thomas Oberthür ◽  
...  

2021 ◽  
Vol 8 (2) ◽  
pp. 515-525
Author(s):  
Sarah Nur Shabrina ◽  
Mochtar Lutfi Rayes ◽  
Christanti Agustina

Fruit plants in Kediri Regency are classified as having good economic potential, one of which is pineapple. Pineapple plants in Kediri Regency have differences in productivity in each sub-district. The results of interviews with local farmers indicated that the Supiturung Micro Watersheds in Plosoklaten District had low pineapple productivity and were not yet optimal. Therefore, this study aimed to determine the factors causing differences and less optimal productivity of pineapples in the Supiturung Micro Watersheds and analyze the land suitability assessment of pineapple plants in the region. This study used a survey method with a physiographic approach to 10 Land Map Units (LMU) and determined 20 observation points as representatives. Data analysis was performed through correlation and multiple regression tests with the stepwise method to determine the land characteristics that most significantly affected pineapple productivity. Modification of the suitability class and modification of the criteria was carried out utilizing boundary line analysis, with class boundaries according to FAO (1976), namely class S1 (80-100%), S2 (60-80%), S3 (40-60%), and N (<40%) of the potential productivity. The land suitability evaluation results of pineapple plants in the Supiturung Micro Watersheds were included in land suitability classes S2, S3, and N. Based on the stepwise method analysis, the texture is a significant characteristic affecting the productivity of pineapples (p <0.05) with a correlation coefficient value of 0.838. The modification of land suitability criteria with boundary line analysis resulted in changes in one land characteristic, namely soil texture S2, S3, and N. Initially, the rough class included in the N class was changed to S2 level along with the slightly rough level.


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