Your search found 11 records
1 Kashaigili, J. J.; Mahoo, H. F.; McCartney, Matthew; Lankford, B. A.; Mbilinyi, B. P.; Mwanuzi, F. L. 2005. Integrated hydrological modelling of wetlands for environmental management: the case of the Usangu wetlands in the Great Ruaha catchment. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.1]. Funded by IWMI, and others. 12p.
River basins ; Wetlands ; Models ; Environmental effects ; Water balance ; GIS ; Remote sensing ; Water resource management / Tanzania / Usangu Plains / Ruaha River Catchment
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037501)
2 Mutabazi, K. D.; Sekondo, E. E.; Mbilinyi, B. P.; Tumbo, D. S.; Mahoo, H. F.; Hatibu, N. 2005. Economics of rainwater harvesting for crop enterprises in semi-arid areas: the case of Makanya Watershed in Pangani River Basin, Tanzania. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.1]. Funded by IWMI, and others. 11p.
River basins ; Watersheds ; Rain ; Water harvesting ; Villages ; Maize ; Beans ; Runoff / Makanya River Watershed
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037519)
3 Kajiru, G. J.; Mrema, J. P.; Mbilinyi, B. P.; Rwehumbiza, F. B.; Hatibu, N.; Mowo, J. G.; Mahoo, H. F. 2005. Assessment of soil fertility status under rainwater harvesting systems in the Ndala River Catchment Northwest Tanzania: farmers’ versus scientific approaches. Paper presented at the East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7-9 March 2005. [Vol.1]. Funded by IWMI, and others. 17p.
River basins ; Catchment areas ; Soil fertility ; Indicators ; Water harvesting ; Soil-water-plant relationships ; Soil properties / Tanzania / Ndala River
(Location: IWMI-HQ Call no: IWMI 333.91 G132 SOK Record No: H037507)
4 Kashaigili, J. J.; Mbilinyi, B. P.; Mccartney, Matthew; Mwanuzi, F. L. 2006. Dynamics of Usangu plains wetlands: Use of remote sensing and GIS as management decision tools. Physics and Chemistry of the Earth, 31:967-975.
(Location: IWMI-HQ Call no: IWMI 333.918 G148 KAS Record No: H039394)
5 Kashaigili, J. J.; McCartney, Matthew; Mahoo, H. F.; Lankford, B. A.; Mbilinyi, B. P.; Yawson, D. K.; Tumbo, S. D. 2006. Use of a hydrological model for environmental management of the Usangu Wetlands, Tanzania. Colombo, Sri Lanka: International Water Management Institute (IWMI). 39p. (IWMI Research Report 104) [doi: https://doi.org/10.3910/2009.104]
Wetlands ; Rivers ; Ecology ; Environmental effects ; Remote sensing ; Hydrology ; Simulation models ; Water budget ; Irrigated sites ; Land cover ; Time series analysis / Tanzania / Usangu Wetlands / Great Ruaha River
(Location: IWMI-HQ Call no: IWMI 333.91 G148 KAS Record No: H039649)
(852KB)
This report presents the findings of a study to assess changes to flows into, and downstream of, the Usangu Wetlands, located in the headwaters of the Great Ruaha River, Tanzania. Hydrological data, in conjunction with remote sensing techniques, were used to provide insights into changes that have occurred to the Eastern Wetland. Results indicate that, between 1958 and 2004, inflows to the wetland declined by about 70 percent in the dry season months (July to November) as a consequence of increased human withdrawals, primarily for irrigation.
6 Kajiru, G. J.; Mrema, J. P.; Mbilinyi, B. P.; Rwehumbiza, F. B.; Hatibu, N.; Mowo, J. G.; Mahoo, H. F. 2005. Assessment of soil fertility status under rainwater harvesting on the Ndala River catchment using local and technical indicators of soil fertility for rice production. In Lankford, B. A.; Mahoo, H. F. (Eds.). Proceedings of East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7 – 9 March 2005. Theme three: Rainwater harvesting and micro-irrigation. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.124-133.
River basins ; Catchment areas ; Runoff ; Soil fertility ; Indicators ; Water harvesting ; Soil-water-plant relationships ; Soil properties ; Mapping ; Rice / Tanzania / Ndala River Catchment
(Location: IWMI HQ Call no: CD Col Record No: H041156)
7 Mutabazi, K. D.; Sekondo, E. E.; Mbilinyi, B. P.; Tumbo, D. S.; Mahoo, H. F.; Hatibu, N. 2005. Economics of rainwater harvesting for crop enterprises in semi-arid areas: the case of Makanya Watershed in Pangani River Basin, Tanzania. In Lankford, B. A.; Mahoo, H. F. (Eds.). Proceedings of East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7 – 9 March 2005. Theme five: water economics and livelihoods. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.285-297.
River basins ; Watersheds ; Rain ; Water harvesting ; Villages ; Maize ; Beans ; Runoff ; Economic aspects / Tanzania / Pangani River Basin / Makanya Watershed
(Location: IWMI HQ Call no: CD Col Record No: H041167)
8 Kashaigili, J. J.; Mahoo, H. F.; McCartney, Matthew; Lankford, B. A.; Mbilinyi, B. P.; Mwanuzi, F. L. 2005. Integrated hydrological modelling of wetlands for environmental management: the case of the Usangu wetlands in the Great Ruaha catchment. In Lankford, B. A.; Mahoo, H. F. (Eds.). Proceedings of East Africa Integrated River Basin Management Conference, Sokoine University of Agriculture, Morogoro, Tanzania, 7 – 9 March 2005. Theme two: environmental flow assessment. Morogoro, Tanzania: Soil-Water Management Research Group, Sokoine University of Agriculture. pp.87-99.
River basins ; Wetlands ; Models ; Environmental effects ; Water balance ; GIS ; Remote sensing ; Water resource management / Tanzania / Usangu Plains / Ruaha River catchment
(Location: IWMI HQ Call no: CD Col Record No: H041152)
Knowledge of wetland hydrology and quantification of water inputs and outputs are Prerequisites to understanding wetland environments and determining their vulnerability to change. To get a better understanding of the dynamics of wetland change in the Usangu Plains, a study was conducted to: a) investigate the effects of human interventions on the wetlands, and b) determine the amount of dry season inflow required to maintain environmental flows downstream of the wetlands. The study integrated hydrologic data, remote sensing and GIS techniques to study the dynamics and spatial response of the wetlands. A monthly water balance model was developed for the wetlands to determine the major components of the water budget. The results of the analyses indicate that the wetlands have changed appreciably in size over recent years and the inflow volumes have decreased with time as a result of increased human interventions. The dry season vegetated swamp cover, a major component of the swamp, decreased by 67% over the 16 years from 1984 to 2000. If this trend continues, it is possible that the wetlands will undergo a change which will be extremely difficult to reverse. Downstream of the wetlands an environmental flow of 0.5 m3/s was estimated. To maintain this outflow, the corresponding inflow volume into the wetlands was estimated to be 7m3/s. To achieve this, the available dry season water resource will have to be divided 20% for anthropogenic needs and 80% for the environment to feed the wetland. The study has demonstrated the need for integrated water resources management to balance the demands between different sectors and enable appropriate catchment interventions to ensure the sustainability of wetland resources.
9 Mwinuka, P. R.; Mbilinyi, B. P.; Mbungu, W. B.; Mourice, S. K.; Mahoo, H. F.; Schmitter, Petra. 2021. Optimizing water and nitrogen application for neglected horticultural species in tropical sub-humid climate areas: a case of African eggplant (Solanum aethiopicum L.). Scientia Horticulturae, 276:109756. [doi: https://doi.org/10.1016/j.scienta.2020.109756]
Water use efficiency ; Nitrogen fertilizers ; Fertilizer application ; Fruit vegetables ; Eggplants ; Horticulture ; Solanum aethiopicum ; Crop water use ; Water requirements ; Drip irrigation ; Crop growth stage ; Crop yield ; Performance indexes ; Subhumid climate ; Soil chemicophysical properties / Africa / United Republic of Tanzania / Rudewa
(Location: IWMI HQ Call no: e-copy only Record No: H050012)
https://www.sciencedirect.com/science/article/pii/S0304423820305847/pdfft?md5=f79f2516a52f7afe55f8cb9d3fb8a4d2&pid=1-s2.0-S0304423820305847-main.pdf
https://vlibrary.iwmi.org/pdf/H050012.pdf
https://vlibrary.iwmi.org/pdf/H050012.pdf
(2.42 MB) (2.42 MB)
African eggplant, a traditional and important nutrient-dense crop to Tanzania’s nutrition and food security. However, yields remain low as a result of sub-optimal irrigation and fertilizer practices. To reduce the yield gap, a randomized split-plot design set up with irrigation as a main and nitrogen (N) treatments as a sub-factor. The irrigation regimes were 100 % (I100), 80 % (I80) and 60 % (I60) of crop water requirements whilst nitrogen levels were 250 kg N/ha (F100), 187 kg N/ha (F75), 125 kg N/ha (F50) and 0 kgN/ha (F0). The study evaluated the effect of irrigation water and N on crop growth variables and yield, fruit quality, WUE and NUE. The study showed the importance of combining different irrigation performance indicators which responds to different levels of water and nitrogen to evaluate and assess suitable irrigation and fertilizer strategies for African eggplant. The crop growth variables (plant height and LAI) had a good correlation with fruit yield (R2 = 0.6 and 0.8). The fruit quality was best performed by 100 % water in combination with 75 % N treatment. The best WUE and NUE was attained at 80 % and 100 % levels of water in combination with 75 % N. However, minimizing trade-offs between the various indicators, the optimal application for African eggplant would likely be around 80 % of the total irrigation requirement and 75 % of the N requirement in sandy clay loam soils under tropical sub-humid conditions.
10 Mwinuka, P. R.; Mbilinyi, B. P.; Mbungu, W. B.; Mourice, S. K.; Mahoo, H. F.; Schmitter, Petra. 2021. The feasibility of hand-held thermal and UAV-based multispectral imaging for canopy water status assessment and yield prediction of irrigated African eggplant (Solanum aethopicum L). Agricultural Water Management, 245:106584. [doi: https://doi.org/10.1016/j.agwat.2020.106584]
Water stress ; Eggplants ; Canopy ; Water requirements ; Crop yield ; Forecasting ; Infrared imagery ; Multispectral imagery ; Unmanned aerial vehicles ; Remote sensing ; Irrigated farming ; Irrigation water ; Performance evaluation ; Moisture content ; Vegetation index ; Plant developmental stages ; Temperature / Africa / United Republic of Tanzania / Rudewa Watershed
(Location: IWMI HQ Call no: e-copy only Record No: H050054)
https://www.sciencedirect.com/science/article/pii/S0378377420321314/pdfft?md5=25877087dd8e72a2377978976c8abc33&pid=1-s2.0-S0378377420321314-main.pdf
https://vlibrary.iwmi.org/pdf/H050054.pdf
https://vlibrary.iwmi.org/pdf/H050054.pdf
(6.03 MB) (6.03 MB)
This study was conducted to evaluate the feasibility of a mobile phone-based thermal and UAV-based multispectral imaging to assess the irrigation performance of African eggplant. The study used a randomized block design (RBD) with sub-plots being irrigated at 100% (I100), 80% (I80) and 60% (I60) of the calculated crop water requirements using drip. The leaf moisture content was monitored at different soil moisture conditions at early, vegetative and full vegetative stages. The results showed that, the crop water stress index (CWSI) derived from the mobile phone-based thermal images is sensitive to leaf moisture content (LMC) in I80 and I60 at all vegetative stages. The UAV-derived Normalized Difference Vegetation Index (NDVI) and Optimized Soil Adjusted Vegetation Index (OSAVI) correlated with LMC at the vegetative and full vegetative stages for all three irrigation treatments. In cases where eggplant is irrigated under normal conditions, the use of NDVI or OSAVI at full vegetative stages will be able to predict eggplant yields. In cases where, eggplant is grown under deficit irrigation, CWSI can be used at vegetative or full vegetative stages next to NDVI or OSAVI depending on available resources.
11 Mwinuka, P. R.; Mourice, S. K.; Mbungu, W. B.; Mbilinyi, B. P.; Tumbo, S. D.; Schmitter, Petra. 2022. UAV-based multispectral vegetation indices for assessing the interactive effects of water and nitrogen in irrigated horticultural crops production under tropical sub-humid conditions: a case of African eggplant. Agricultural Water Management, 266:107516. [doi: https://doi.org/10.1016/j.agwat.2022.107516]
Crop production ; Water use efficiency ; Nitrogen ; Unmanned aerial vehicles ; Irrigated farming ; Vegetation index ; Water stress ; Subhumid climate ; Horticulture ; Eggplants ; Crop yield ; Irrigation water ; Water requirements / Africa / United Republic of Tanzania / Kilosa
(Location: IWMI HQ Call no: e-copy only Record No: H051019)
https://www.sciencedirect.com/science/article/pii/S0378377422000634/pdfft?md5=204296c2ca8c64d46a7e0fd0fa774e05&pid=1-s2.0-S0378377422000634-main.pdf
https://vlibrary.iwmi.org/pdf/H051019.pdf
https://vlibrary.iwmi.org/pdf/H051019.pdf
(5.25 MB) (5.25 MB)
UAV-based multispectral vegetation indices are often used to assess crop performance and water consumptive use. However, their ability to assess the interaction between water, especially deficit irrigation, and nitrogen application rates in irrigated agriculture has been less explored. Understanding the effect of water-nitrogen interactions on vegetation indices could further support optimal water and N management. Therefore, this study used a split plot design with water being the main factor and N being the sub-factor. African eggplants were drip irrigated at 100% (I100), 80% (I80) or 60% (I60) of the crop water requirements and received 100% (F100), 75% (F75), 50% (F50) or 0% (F0) of the crop N requirements. Results showed that the transformed difference vegetation index (TDVI) was best in distinguishing differences in leaf moisture content (LMC) during the vegetative stage irrespective of the N treatment. The green normalized difference vegetation index (GNDVI) worked well to distinguish leaf N during vegetative and full vegetative stages. However, the detection of the interactive effect of water and N on crop performance required a combination of GNDVI, NDVI and OSAVI across both stages as each of these 3 VI showed an ability to detect some but not all treatments. The fact that a certain amount of irrigation water can optimize the efficiency of N uptake by the plant is an important criterion to consider in developing crop specific VI based decision trees for crop performance assessments and yield prediction.
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