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Land use practices face significant pressure due to increased demand and conflicting needs. Several factors contribute to this trend, such as the ever-increasing human population, the increased demand for food production, and the expansion of industrial and agricultural areas. This paper, focused on the cultivation patterns and investigating changes in land use of maize and soybean over time (i.e., both genetically modified and non-genetically modified) in two South African provinces. The objective was to determine whether there was a net increase or decrease in land cover age for these two crops between 2006 and 2017 in the selected study areas. Hence, the study utilized ArcGIS (10.8.1) software to quantify and map the land used for the cultivation of maize and soybean from 2006 to 2017 in Free State and North West provinces. The results show both provinces to have minimal expansion or change in cultivation areas for both maize and soybean between 2006 and 2017. We concluded that both maize and soybean cultivation areas in these provinces, did not expand beyond the current agricultural areas (space), and did not encroach onto new land areas. As a result, both maize and soybean do not currently pose a threat to the surrounding landscape (i.e., natural vegetation) and are not in direct competition with other neighboring land use practices. We recommend that data on the annual planting or cultivation area be consistently gathered, analyzed, and mapped to monitor any alterations that could influence the current findings. This will also assist with any land use planning and management practices. [ABSTRACT FROM AUTHOR]

Lagenaria siceraria (Molina) Standl is an important horticultural and medicinal crop grown worldwide in the food and pharmaceutical industries. The crop exhibits extensive phenotypic and genetic variation useful for cultivar development targeting economic traits; however, limited genomic resources are available for effective germplasm characterization into breeding and conservation strategies. This study determined the genetic relationships and population structure in a collection of different accessions of bottle gourd derived from Chile, Asia, and South Africa by using single-nucleotide polymorphism (SNP) markers and mining of simple sequence repeat (SSR) loci derived from genotyping-by-sequencing (GBS) data. The GBS resulted in 12,766 SNPs classified as moderate to highly informative, with a mean polymorphic information content of 0.29. The mean gene diversity of 0.16 indicated a low genetic differentiation of the accessions. Analysis of molecular variance revealed less differentiation between (36%) as compared to within (48%) bottle gourd accessions, suggesting that a random mating system dominates inbreeding. Population structure revealed two genetically differentiated groups comprising South African accessions and an admixed group with accessions of Asian and Chilean origin. The results of SSR loci mining from GBS data should be developed and validated before being used in diverse bottle gourd accessions. The SNPs markers developed in the present study are useful genomic resources in bottle gourd breeding programs for assessing the extent of genetic diversity for effective parental selection and breeding. [ABSTRACT FROM AUTHOR]