3 research outputs found
Influence of soil texture and compost on the early growth and nutrient uptake of Moringa oleifera Lam
Article Details: Received: 2019-01-15 | Accepted: 2019-06-03 | Available online: 2019-06-30https://doi.org/10.15414/afz.2019.22.02.26-33Soil is the main reservoir of water and nutrients, and thus controls the availability of most essential plant nutrients for crop growth and establishment. Therefore, a study was conducted at Ladoke Akintola University of Technology, Ogbomoso, Nigeria to investigate the effects of soil texture and compost on early growth of Moringa oleifera (M. oleifera). The experiment was a split plot laid out in a randomized complete block design with three replications. The main treatment comprises of three soil texture; sand, loamy sand, and clay while the sub-plot treatment was compost at four rates of 0, 2.5, 5 and 10 tha-1 per 10 kg of soil and NPK 15:15:15 at the rate of 90 kg Nha-1. Data on plant height, number of leaves, stem diameter were measured at 2 week interval for 10 weeks. Results showed that Moringa plant produced in loamy sand was superior in plant height, number of leaves and stem girth irrespective of compost applied. At 10 weeks after sowing, fresh shoot weights/pot was 73.3, 31.7, 30.3 g respectively for loamy sand, clay and sand.  M. oleifera N uptake in loamy sand was significantly (p<0.05) greater by 57 and 50%, respectively, than sand and clay. P uptake was significantly higher at 5 ton ha-1 than the control and other treatments. The study concluded that, combination of loamy sand and 5 ton ha-1 of compost was suitable for the early growth of M. oleifera.ReferencesADEBAYO, A.G. et al. (2011) Assessment of organic amendments on vegetative development and nutrient uptake of Moringa oleifera Lam in the nursery. Asian J. Plant Sci., vol. 10, pp. 74–79. doi: http://dx.doi.org/10.3923/ajps.2011.74ADUAYI, E.A. et al. (2002) Fertilizer use and management practices for crops in Nigeria. 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Willing to be the change: Perceived drivers and barriers to participation in urban smart farming projects
Psychological research on perceptions on urban smart farming is scarce, especially in a Global South context. To reach wide acceptance of urban smart farming and create effective strategies for the implementation of this innovative technology, we need insights into people’s perceptions. In this article, we investigate the factors that motivate or hinder people to engage in community-led urban smart farming projects. We present a systematic assessment of perceived drivers and barriers for urban smart farming, based on a survey study in three African countries, Nigeria, South Africa and Zambia. Using multiple regression analysis, we could identify country-specific drivers and barriers. People’s demographics have been found to play less of a role in predicting intentions to be involved in urban smart farming projects. We recommend considering the human dimension when promoting innovative technologies such as urban smart farming and encourage practitioners to assess each region individually when promoting innovative farming techniques
Effects of Urban Smart Farming on Local Economy and Food Production in Urban Areas in African Cities
African cities are growing rapidly into inefficient, unsustainable, resource-starved ecosystems that negatively affect the local economy and food production. Food as a critical resource needs to be produced and managed more efficiently by local communities in the urban area. Urban smart farming (USF) has emerged as an important mechanism to address these challenges to achieve sustainable, resilient, and inclusive cities. USF has the potential to be the industry 4.0 green revolution in agriculture, which embodies innovative digital technologies. However, it is unclear how local African communities and key stakeholders perceive this novel solution and if they are willing to engage in its uptake. This study examines the relationship between the perceived benefits and challenges of USF and the willingness of local African communities to actively participate in USF projects as a potential mechanism to improve local economy and food production. To assess this relationship, a causal model was developed. In this causal model, the local economy and food production were defined as dependent variables. The conceptualized model and the inherent causality between the constructs were validated through a survey administered among African cities’ residents. The results of structural equation modelling indicate a significant positive impact of perceived benefits of USF as well as the willingness of African communities to engage in this technology on local economy and food production. Only minimal adverse effects of the perceived challenges of USF on the local economy and food production have been found. The study concludes that the benefits and willingness of local communities are the key drivers for implementing urban smart farms in African metropolitans. Therefore, it is recommended to focus on the benefits and the motivation of local communities in African cities where USF shall be further developed, rather than on the barriers. The validated causal model can be used as a framework to facilitate the adoption of USF in Africa and consequently enhance the local economy and food production in African cities