Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2022
Authors
Samuel F. Kamga Frank T. Ndjomatchoua Ritter Atoundem Guimapi Ingeborg Klingen Clément Tchawoua Anne-Grete Roer Hjelkrem Karl Thunes Francois M. KakmeniAbstract
No abstract has been registered
Abstract
Young children have unique nutritional requirements, and breastfeeding is the best option to support healthy growth and development. Concerns have been raised around the increasing use of milk-based infant formulas in replacement of breastfeeding, in regards to health, social, economic and environmental factors. However, literature on the environmental impact of infant formula feeding and breastfeeding is scarce. In this study we estimated the environmental impact of four months exclusive feeding with infant formula compared to four months exclusive breastfeeding in a Norwegian setting. We used life-cycle assessment (LCA) methodology, including the impact categories global warming potential, terrestrial acidification, marine and freshwater eutrophication, and land use. We found that the environmental impact of four months exclusive feeding with infant formula was 35–72% higher than that of four months exclusive breastfeeding, depending on the impact category. For infant formula, cow milk was the main contributor to total score for all impact categories. The environmental impact of breastfeeding was dependant on the composition of the lactating mother’s diet. In conclusion, we found that breastfeeding has a lower environmental impact than feeding with infant formula. A limitation of the study is the use of secondary LCA data for raw ingredients and processes.
Authors
Divina Gracia P. RodriguezAbstract
Human urine contains essential nutrients (e.g., nitrogen and phosphorus) required for plant growth. Hence, urine can serve as a “free” and locally available nutrient source. Successful, low-cost urine-diverting toilets (UDTs) that separately collect urine have been developed in Scandinavia and in Europe and are being manufactured at large-scale in Africa. There exists many barriers to urine recycling at scale. The important initial steps for increased use of urine as a fertilizer (UBF) are to understand the technical, socio-cultural, economic, institutional and ecological aspects that affect large-scale adoption of UDTs, urine treatment technologies, and UBFs; provide evidence-based data that shows urine is safe in terms of heavy metals, pathogens, and organic micropollutants; and identify optimal combinations strategies to sustain adoption in the long term. FoodSecURe will be implemented and will utilize the already existing UDTs in communal public areas in Bahir-Dar, Ethiopia. Due to lack of technology and limited awareness of users, government and institutions, these UDTs were used inappropriately, and no UBF has been produced from the UDTs. The project will be conducted through 6 work packages (WPs): WP0 focuses on the project management. WPs 1-4 focus on identifying the barriers in the adoption of urine recycling based on technology (WP1), health (WP2), socio-culture and environment (WP3), and economic and institutions (WP4). The dissemination, exploitation and communication activities are in WP5. The various tasks are implemented through a multi-disciplinary and multi-actor approach by scientists specializing in social sciences, business management, agronomy, parasitology, environmental engineering, environmental science, and soil science. A Stakeholder Advisory Committee will be created to strengthen science-policy-stakeholder linkages and ensure that the technical and socio-economic solutions identified in the project match the stakeholders’ needs.
Authors
Lampros LamprinakisAbstract
No abstract has been registered
Authors
Martin Stangborli TimeAbstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
No abstract has been registered
Abstract
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Abstract
No abstract has been registered
Abstract
Rapid methods allowing for non-destructive crop monitoring are imperative for accurate in-season nitrogen (N) status assessment and precision N management. The objectives of this paper were to (1) compare the performance of a leaf fluorescence sensor Dualex 4 and an active canopy reflectance sensor Crop Circle ACS-430 for estimating maize (Zea mays L.) N status indicators across growth stages; (2) evaluate the potential of N status prediction across growth stages using the reflectance parameters acquired from the canopy sensor at an early growth stage; and, (3) investigate the prospect of combining the active canopy sensor and leaf fluorescence sensor data to estimate N nutrition index (NNI) indirectly using a general model across growth stages. The results indicated that data from both sensors were closely related to NNI across stages. However, using the direct NNI estimation method, among the tested indices, only the N balance index (NBI) could diagnose N status satisfactorily, based on the Kappa statistics. The effect of growth stages on proximal sensing was reduced by incorporating the information of days after sowing. It was found that the leaf fluorescence sensor performed relatively better in estimating plant N concentration whereas the canopy reflectance sensor performed better in aboveground biomass estimation. Their combination significantly improved the reliability of N diagnosis, including NNI prediction. In addition, the study confirmed that N status can be assessed by predicting aboveground biomass at the later stages using the canopy reflectance measurements at an early stage. Furthermore, the integrated NBI was verified to be a more robust and sensitive N status indicator than the chlorophyll concentration index. It is concluded that combining active canopy sensor data, of an early growth stage (e.g. V8), with leaf fluorescence sensor data, modified using days after sowing, can improve the accuracy of corn N status diagnosis across growth stages.