Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review

Mugiyo, Hillary; Chimonyo, Vimbayi G. P.; Sibanda, Mbulisi; Kunz, Richard; Masemola, Cecilia; Modi, Albert T.; Mabhaudhi, Tafadzwanashe

doi:10.3390/land10020125

Cited by 72 publications

(35 citation statements)

References 133 publications

(207 reference statements)

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“…One of the major drawbacks of selection of underutilised crops in different agroecological zones through the suitability assessment and yield prediction of underutilised crops is the lack of evaluation frameworks and models. However, with the growing concern in relation to neglected and underutilized crops, dedicated land evaluation frameworks and protocols [8,47,48] and crop models/modelling approaches [38,39,49,50] which show potential have been carried out in the recent past. Other than the method used here for crop selection, different approaches/frameworks as mentioned above can be tested to select the most suitable crops.…”

Section: Discussionmentioning

confidence: 99%

A Novel Crop Shortlisting Method for Sustainable Agricultural Diversification across Italy

et al. 2022

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Whilst current policies recognize the impacts that changes in climates and markets have imposed on the Italian food system, less attention is given to the development of systematic approaches to identify alternative cropping systems across Italy and the European continent. In this article, a novel evidence-based crop shortlisting method was developed to address crop diversification needs for Italy as an example for the whole of Europe. In order to shortlist possible options from a pool of 2700 crops, a crop–climate–soil matching exercise was performed across Italian territory, and crops with more than 70% suitability were chosen for further analysis. In the second phase, a multi-criteria ranking index was employed to assign ranks to chosen crops of four main types: (i) cereals and pseudocereals, (ii) legumes, (iii) starchy roots/tubers, and (iv) vegetables. To provide a comprehensive analysis, all of the abovementioned criteria were compared for both major crops that are grown in the region and potential underutilised crops (UCs). The results of evaluation of four major criteria (namely (a) calorie and nutrition demand, (b) functions and uses, (c) availability and accessibility to their genomic material, (d) possession of adaptive traits, and (e) physiological traits) revealed the potential for teff, faba bean, cowpea, green arrow arum, Jerusalem artichoke, Fig-leaved Gourd, and Watercress. We discuss the implication of utilising such systematic approaches to crop selection and developing transformative solutions for food security with the aim of providing a primer for mainstreaming UCs in policy and investment plans.

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Section: Discussionmentioning

confidence: 99%

A Novel Crop Shortlisting Method for Sustainable Agricultural Diversification across Italy

et al. 2022

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“…Analysis of the geographic information system using tools was highly suitable for processing various variable criteria with different spatial and temporal scales from different sources for time-saving and cost-effective analysis [43]. The GIS-based multicriteria decision analysis approach is practical because several production variables can be evaluated.…”

Section: Discussionmentioning

confidence: 99%

Environmental Suitability for Sea Ranching Harvest Type of Sandfish Sea Cucumber Holothuria Scabra Jaeger 1833 in Karimunjawa National Park, Indonesia

Mujiyanto¹,

Sugianti²,

Nastiti³

et al. 2022

Preprint

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Holothuria scabra Jaeger 1833, known as sandfish visually, Its visible external body has a soft, flexible texture. Sandfish is included in the Echinodermata phylum and Holothuroidea class, which has an important ecological and economic role. This research proposes to decide the suitability site in an intermediate culture model of sea ranching harvest type based on ecological, socio-cultural and Karimunjawa National Park zoning plan. Data collected has done in March 2020, November 2020 and August 2021. The data analysed on the environmental suitability level was based on several essential criteria matrices used by ArcGIS 10.8.2. They were four classes performed (high suitable, suitable that is enough, suitable with conditionals, and not suitable) based on each variable and matrix classification from main factor (6 variables), supporting factor (5 variables), dan another factors (1 variable). The highest score was 35, and the lowest was 23 during the class interval value. The analysis showed that the aquatic environment that was High Suitable (S1) for sandfish life was Gede Lagoon. It has been determined to be highly suitable for developing sandfish cultivation. Furthermore, the Sea Ranching Harvesting Type development would recommend being carried out in waters that do not have limiting factors.

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“…In land suitability studies, methods such as multi-criteria decision-making methods, analytical hierarchy process, crop simulation models and machine learning related methods are the most popular and dynamic [42]. Remote sensing, geostatistics and geographic information systems were also successfully employed for determining land suitability of important crops in other countries [43].…”

Section: Discussionmentioning

confidence: 99%

Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

et al. 2021

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Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO3, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; Typic Torrifluvents, Typic Torripsamments and Typic Torriorthents and Aridsols; Typic Haplocacids, Calcic Haplosalids and Sodic Haplocalcids. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.

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Evaluation of Land Suitability Methods with Reference to Neglected and Underutilised Crop Species: A Scoping Review

Cited by 72 publications

References 133 publications

A Novel Crop Shortlisting Method for Sustainable Agricultural Diversification across Italy

A Novel Crop Shortlisting Method for Sustainable Agricultural Diversification across Italy

Environmental Suitability for Sea Ranching Harvest Type of Sandfish Sea Cucumber Holothuria Scabra Jaeger 1833 in Karimunjawa National Park, Indonesia

Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

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