- Climate change impacts on agriculture
- Crop Yield and Soil Fertility
- Climate variability and models
- Traditional and Medicinal Uses of Annonaceae
- Land Use and Ecosystem Services
- Remote Sensing in Agriculture
- Precipitation Measurement and Analysis
- Rice Cultivation and Yield Improvement
- Conservation, Biodiversity, and Resource Management
- Genetics and Plant Breeding
- Meteorological Phenomena and Simulations
- Hydrology and Watershed Management Studies
- Hydrology and Drought Analysis
- Agricultural risk and resilience
- Urban Heat Island Mitigation
- Water resources management and optimization
- Advanced Chemical Sensor Technologies
- Geophysical and Geoelectrical Methods
- Plant and Fungal Species Descriptions
- Biological Control of Invasive Species
- Analytical Chemistry and Chromatography
- Advanced Synthetic Organic Chemistry
- Soil Moisture and Remote Sensing
- Phytochemistry and Biological Activities
- Carbohydrate Chemistry and Synthesis
Copperbelt University
2021-2025
University of Zambia
2017-2023
Ministry of Health
2015-2020
Université d'Angers
1996
Sorbonne Université
1991
Abstract Human LULCC is the many driver of environmental changes. Accurate and up-to-date current predicted information on important in land use planning natural resource management; however, Zambia, detailed insufficient. Therefore, this study assessed dynamics LULC change (2000–2020) future projections (2020–2030) for Zambia. The ESA CCI cover maps, which have been developed from Sentinel-2 images were used study. This dataset has a grid spatial resolution 300 m 2000, 2010 2020. 31...
A field experiment was conducted during the 2013/2014 season to evaluate performance of CERES-maize model in simulating effect date planting, nitrogen fertilizer and root-zone soil water profile on growth yield maize (Zea mays L.) at Field Research Station School Agricultural Sciences, University Zambia, Zambia (15°23.6859'S, 28°20.226'E; 1,261 m.a.s.l). The experimental design a split plot with three replicates, planting dates (November 24, December 8, 22) assigned main plots two rates (112...
Abstract The APSIM‐Maize and CERES‐Maize models are widely used in impact studies to analyze the effect of climate change on future maize yield. study objectives were develop scenarios, assess crop model's sensitivity, predict rainfed yield based five global under two RCP (RCP4.5 RCP8.5) scenarios. scenarios mid‐century tested for sowing dates (SDs), cultivars, nitrogen fertilizer rates (N). For field calibration validation, split‐split‐plot experimental design with three replicates was set...
Abstract Maize production in low-yielding regions is influenced by climate variability, poor soil fertility, suboptimal agronomic practices, and biotic influences, among other limitations. Therefore, the assessment of yields to various management practices is, others, critical for advancing site-specific measures enhancement. In this study, we conducted a multiseason calibration evaluation DSSAT–CERES-Maize model assess maize yield response two common cultivars grown Trans Nzoia County Kenya...
Abstract Numerous modelling efforts have focused on maize as it is an important cereal crop for both human consumption and livestock production. Crop simulation multi-linear regressions models can be used to quantify the likely potential impacts of climate change growth yield. Such include AquaCrop, Agricultural Production Systems Simulator (APSIM), Decision Support System Agro-technology Transfer (DSSAT), EPIC, CropSyst, Root Zone Water Quality Model (RZWQM2), SARRA-H, IMPACT+DSSAT, DSSAT,...
Abstract Climate change impacts are dependent on changes in air temperature, rainfall (frequency and amount) climate indices, which highly certain. extreme indices important metrics that used to communicate the of change. The CORDEX African-domain RCM (SMHI-RCA4) run by seven CMIP5 (CCCma-CanESM2, IPSL-IPSL-CM5A-MR, MIROC-MIROC5, MPI-M-MPI-ESM-LR, NCC-NorESM1-M, MOHC-HadGEM2-ES NOAA-GFDL-GFDL-ESM2M) two representative concentration pathways (RCP4.5 RCP8.5) were this study. future is analysed...
There is insufficient paucity of information on trends in long-term monthly and decadal rainfall Zambia. This study assessed the over agro-ecological regions (AERs) Zambia from 1981 to 2022. The Mann-Kendall test statistic was used at 5 % significant level compute time step CHIRPS v2 0.05° resolution. R/RStudio Sen's slope estimator give magnitude observed trends. series trend ranges −0.04 0.03. analysis annual exhibits a decreasing/increasing with between −49.27 71.26 mm. Decadal AERIII,...
Abstract Agricultural production assessments are crucial for formulating strategies closing yield gaps and enhancing efficiencies. While in situ crop measurements can provide valuable accurate information, such approaches costly lack scalability large-scale assessments. Therefore, modeling remote sensing (RS) technologies essential assessing conditions predicting yields at larger scales. In this study, we combined RS a growth model to assess phenology, evapotranspiration (ET), dynamics grid...
The Long Ashton Research Station Weather Generator (LARS-WG) is a stochastic weather generator used for the simulation of data at single site under both current and future climate conditions using General Circulation Models (GCM). It was calibrated baseline (1981-2010) evaluated to determine its suitability in generating synthetic 2020 2055 according projections HadCM3 BCCR-BCM2 GCMs SRB1 SRA1B scenarios Mount Makulu (Latitude: 15.550°S, Longitude: 28.250°E, Elevation: 1213 meter), Zambia....
Crop model calibration and validation is vital for establishing their credibility ability in simulating crop growth yield. A split–split plot design field experiment was carried out with sowing dates (SD1, SD2 SD3); maize cultivars (ZMS606, PHB30G19 PHB30B50) nitrogen fertilizer rates (N1, N2 N3) as the main plot, subplot sub-subplot three replicates, respectively. The at Mount Makulu Central Research Station, Chilanga, Zambia 2016/2017 season. study objective to calibrate validate...
Abstract: Long-term rainfall, temperature and solar radiation time series data are required to simulate crop yield variability. A field experiment conducted at Mount Makulu was used the interactive effect of planting dates (SD1, SD2, SD3), maize varieties (PIO30G19, PIO30B50, ZMS606), nitrogen fertilizer application levels (N1 = 66; N2 132; N3 198 kg N ha-1) on strategic economic assessment. Statistical downscaled climate datasets from three GCMs 1971-2000, 2010-2039, 2040-2069, 2070-2099...
Abstract Maize ( Zea mays L.) productivity in Kenya has witnessed a decline attributed to the effects of climate change and biophysical constraints. The assessment agronomic practices across agroecological zones (AEZs) is limited by inadequate data quality, hindering precise evaluation maize yield on large scale. In this study, we employed DSSAT‐CERES‐Maize crop model (where CERES Crop Environment Resource Synthesis DSSAT Decision Support System for Agrotechnology Transfer) investigate...
Abstract The essential oils from three Xylopia species ( X. frutescens, pynaertii, sericea ), Annonaceae, have been examined by GC and GC/MS, screened for bacteriostatic fungistatic activities. main components of each oil identified. major constituents frutescens stem bark were α‐cubebene (25.2%) δ‐cadinol (27.4%). root pynaertii was rich in elemol (27.1%), while the contained δ‐cadinene (10.3%), γ‐muurolene (10.1%) cubenol (12.6%). p ‐cymene (22.8%) α‐gurjunene (13.8%). These exhibited moderate
The impact of climate change on crop growth and yield can be predicted using simulation models. A study was conducted to assess the reliability uncertainty simulated maize for near future in 2050s at Mount Makulu (latitude = 15.550o S, longitude 28.250o E, altitude 1213 m), Zambia. Long Ashton Research Station Weather Generator (LARS-WG) used generate baseline (1980-2010) (2040-2069) scenarios two Representative Concentration Pathways (RCP 4.5 RCP 8.5). Results showed that mean temperature...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAlcaloïdes et Quassinoïdes de Soulamea fraxinifoliaB. Charles, J. Bruneton, and Ad. CavéCite this: Nat. Prod. 1986, 49, 2, 303–306Publication Date (Print):March 1, 1986Publication History Published online1 July 2004Published inissue 1 March 1986https://pubs.acs.org/doi/10.1021/np50044a017https://doi.org/10.1021/np50044a017research-articleACS PublicationsRequest reuse permissionsArticle Views118Altmetric-Citations12LEARN ABOUT THESE METRICSArticle...
A study was conducted at the Zambia Agriculture Research Institute (ZARI), Central Station, Mount Makulu (latitude: 15.550° S, longitude: 28.250° E, altitude: 1213 m), to investigate effects of sowing date (SD), maize (Zea mays L.) cultivars and 3 N fertilizer rates on yield components. Maize were planted 12th December, 2016 (SD1), 26th (SD2) 9th January, 2017 (SD3). split-split plot design setup with SD, (ZMS 606, PHB 30G19 30B50) nitrogen rate (67.20, 134.40 201.60 kg ha-1) as main-plot,...
This study was conducted within the Zambezi River Basin to ascertain bathymetry and sedimentation of selected reservoirs, evaluate their seasonal hydrological regimes, pinpoint causes reservoir siltation, determine how siltation impacted water-related industries policy choices. Hydrological field measurements using a hydrographic survey boat, document studies, interviews were used collect data. The 3D spatial analyst tools in ArcGIS 10.3 hypsometric curves analyze bathymetric Thematic...
Predictions of soil hydraulic properties by pedotransfer functions (PTFs) must be treated with caution when they are used in an application domain which differs from the their original development and calibration. However, some settings, scientists may have little alternative but to use PTFs calibrated elsewhere. In this paper we consider how legacy data can evaluate new regions, paying particular attention challenges that arise when, as is often case, not obtained independent random...
<title>Abstract</title> Accurate and up-to-date information on land use/land cover change (LULCC) is important in use planning natural resource management; however, sub-Saharan Africa, detailed LULCC still lacking. Therefore, this study assessed the dynamics of LULC (2000–2020) future projections (2020–2030) for Zambia. The 2000 2010 maps were used to simulate 2020 scenario using Artificial Neural Network (Multi-layer Perception) algorithms Modules Land Use Change Evaluation (MOLUSCE) plugin...