Assessment of on-farm, market and wild food diversity in three agro-ecological zones of Western Kenya

Poster presented at Tropentag 2014. International Conference on Research on Food Security, Natural Resource Management and Rural Development. "Bridging the Gap between Increasing Knowledge and Decreasing Resources" Prague (Czech Republic) Sep 17-19 2014

Estimation of Soil Moisture in Bare Soils of the Northern Dry Zone of the Deccan Plateau, Karnataka, using Sentinel-1 Band C imagery

Soil moisture information is acritical input to water resource allocation, irrigation scheduling and climate risk management.The date of sowing is an important decision farmers take after initial rainfall occurs based on traditional knowledge and physical estimation of soil moisture. The present study was conducted on bare agriculture fields of Siruguppasub-district in Karnataka state in India to estimate surface soil moisture us in gradar remote sensing with the aim of developing an accurate and scalable methodology

Integrated systems approach for enhancing resilience of arid farming systems in South Asia

This paper aims to share the methods and processes of designing resilient farming systems to improve livelihoods under the drylands in South-Asia. The study is based on 250 randomly selected farm households along the rainfall gradient from Jodhpur- Barmer-Jaisalmer districts in Western Rajasthan in India. Our analysis demonstrates that the dryland smallholder farming systems occur within diverse agro-ecological and socio-economic environments and develop different livelihood strategies driven by opportunities and constraints encountered. Multiple livelihood assets determine different land use patterns and agricultural management practices in dryland systems in south Asia. Well-designed household survey on socio-economic and agroecological variables and statistical approach helped capture the diversity of livelihood assets to categorize households into homogenous farm types. The follow up FDG’s with farmers and stakeholder were equally important to validate farm typologies and prioritization of interventions. Engaging the innovation platform for identification of potential innovation options and their prioritization at district level; involving farmers for each farm typology, and ex-ante assessment of promising options led to the on-farm assessment of farm type specific most appropriate interventions in the action villages. Landscape and community level options were prioritized with the village development committee and proactive farmers. The institutional platforms experimented at village to regional level has strengthened the capacity of the community/stakeholders to innovate to improve the farming systems resilience and economic viability. An ex-post assessment demonstrates significant increase in farming systems productivity, household income and development of value chains as well as sustainable management of natural resource including common pastures. This study contributes to the understanding of how research for development through integrated systems approach can contribute towards stabilizing farm incomes, sustainable intensification and smoothening livelihood of resource poor farmers in vulnerable dry regions

Accuracies of Soil Moisture Estimations Using a Semi-Empirical Model over Bare Soil Agricultural Croplands from Sentinel-1 SAR Data

This study describes a semi-empirical model developed to estimate volumetric soil moisture ( v ϑ) in bare soils during the dry season (March–May) using C-band (5.42 GHz) synthetic aperture radar (SAR) imagery acquired from the Sentinel-1 European satellite platform at a 20 m spatial resolution. The semi-empirical model was developed using backscatter coefficient (σ° dB) and in situ soil moisture collected from Siruguppa taluk (sub-district) in the Karnataka state of India. The backscatter coefficients 0 VV σ and 0 VH σ were extracted from SAR images at 62 geo-referenced locations where ground sampling and volumetric soil moisture were measured at a 10 cm (0–10 cm) depth using a soil core sampler and a standard gravimetric method during the dry months (March–May) of 2017 and 2018. A linear equation was proposed by combining 0 VV σ and 0 VH σ to estimate soil moisture. Both localized and generalized linear models were derived. Thirty-nine localized linear models were obtained using the 13 Sentinel-1 images used in this study, considering each polarimetric channel Co-Polarization (VV) and Cross-Polarization(VH) separately, and also their linear combination of VV + VH. Furthermore, nine generalized linear models were derived using all the Sentinel-1 images acquired in 2017 and 2018; three generalized models were derived by combining the two years (2017 and 2018) for each polarimetric channel; and three more models were derived for the linear combination of 0 VV σ and 0 VH σ . The above set of equations were validated and the Root Mean Square Error (RMSE) was 0.030 and 0.030 for 2017 and 2018, respectively, and 0.02 for the combined years of 2017 and 2018. Both localized and generalized models were compared with in situ data. Both kind of models revealed that the linear combination of 0 VV σ + 0 VH σ showed a significantly higher R2 than the individual polarimetric channels

Out-of-hours primary percutaneous coronary intervention for ST-elevation myocardial infarction is not associated with excess mortality: a study of 3347 patients treated in an integrated cardiac network

OBJECTIVES: Timely delivery of primary percutaneous coronary intervention (PPCI) is the treatment of choice for ST-segment elevation myocardial infarction (STEMI). Optimum delivery of PPCI requires an integrated network of hospitals, following a multidisciplinary, consultant-led, protocol-driven approach. We investigated whether such a strategy was effective in providing equally effective in-hospital and long-term outcomes for STEMI patients treated by PPCI within normal working hours compared with those treated out-of-hours (OOHs). DESIGN: Observational study. SETTING: Large PPCI centre in London. PARTICIPANTS: 3347 STEMI patients were treated with PPCI between 2004 and 2012. The follow-up median was 3.3 years (IQR: 1.2–4.6 years). PRIMARY AND SECONDARY OUTCOME MEASURES: The primary endpoint was long-term major adverse cardiac events (MACE) with all-cause mortality a secondary endpoint. RESULTS: Of the 3347 STEMI patients, 1299 patients (38.8%) underwent PPCI during a weekday between 08:00 and 18:00 (routine-hours group) and 2048 (61.2%) underwent PPCI on a weekday between 18:00 and 08:00 or a weekend (OOHs group). There were no differences in baseline characteristics between the two groups with comparable door-to-balloon times (in-hours (IHs) 67.8 min vs OOHs 69.6 min, p=0.709), call-to-balloon times (IHs 116.63 vs OOHs 127.15 min, p=0.60) and procedural success. In hospital mortality rates were comparable between the two groups (IHs 3.6% vs OOHs 3.2%) with timing of presentation not predictive of outcome (HR 1.25 (95% CI 0.74 to 2.11). Over the follow-up period there were no significant differences in rates of mortality (IHs 7.4% vs OFHs 7.2%, p=0.442) or MACE (IHs 15.4% vs OFHs 14.1%, p=0.192) between the two groups. After adjustment for confounding variables using multivariate analysis, timing of presentation was not an independent predictor of mortality (HR 1.04 95% CI 0.78 to 1.39). CONCLUSIONS: This large registry study demonstrates that the delivery of PPCI with a multidisciplinary, consultant-led, protocol-driven approach provides safe and effective treatment for patients regardless of the time of presentation

Simulation of Lablab Pastures

The potential of legume-based pastures to address declining soil nitrogen on marginal cropping soils is increasingly recognised in northern Australia, as such there is a need for cost benefit analysis of pastures and crops in a mixed farming system. In highly variable rainfall environments, biophysical modelling may be the best way of identifying and quantifying interactions with mixed crop-livestock systems on a seasonal basis. This paper describes a case study where both animal productivity and lablab pasture production is simulated. Lablab (Lablab purpureus) is an annual tropical legume widely used as a short-term legume phase in crop-pasture rotations, providing high quality forage for animal production and a low risk nitrogen input for crop production

Meta-analysis of crop responses to conservation agriculture in sub-Saharan Africa

Conservation agriculture involves reduced or no-tillage, permanent soil cover and crop rotations to enhance soil fertility and crop yields. Conservation agriculture practices are increasingly promoted on smallholder farms in sub-Saharan Africa as a means to overcome continuing poor-profitability and soil degradation. In recent years a growing number of studies have been carried out in sub-Saharan Africa comparing conservation agriculture practices to conventional tillage-based practices. These studies have been conducted under a range of conditions (climate, soil, management, cropping system) gaining variable results on crop yield responses. The aim of this study is to compare and combine the results from different conservation agriculture experiments using meta-analysis in the hope of identifying patterns among study results, sources of disagreement among those results, or interesting relationships that may come to light in the context of the different studies

Ceramic Micropalaeontology

Microfossils found in archaeological ceramics include representatives of kingdoms Fungi, Protista, Plantae, and Animalia and are composed of calcite, silica, or resistant organic compounds capable of withstanding firing. Methods by which microfossils are isolated for study vary considerably, but the best results involve the disaggregation of potsherds into their individual grains or by cutting petrological thin sections. Microfossils can be related directly to the age and depositional environment of the source materials (clays, temper, and slip) used in the manufacturing process, although the introduction of contaminants at the time of construction must also be recognized. When incorporated into an integrated analysis, the microfossils may demonstrate provenance; contribute to a better understanding of the local environment and landscape; identify transportation routes; contribute to an understanding of the technology used, including construction methods and firing; and elucidate the use to which the vessels were put

Building resilient crop-livestock farming systems in Senegal

The Senegalese agricultural and livestock sector is the main economic activity representing approximately 17% of the gross domestic product (GDP) and employing 70% of the population. Around 350,000 families nationwide carry out livestock breeding activities, representing nearly 30% of Senegalese farmers. Limited agricultural production conditions, characterized by poor soils and weather conditions, limited access to advisory services, and poor-quality agricultural inputs and insufficient infrastructure contribute to Senegal’s inability to satisfy its food needs. Consequently, the country depends on food imports

CIS impacts on farmer wellbeing in Senegal: evidence and opportunities

Climate information services (CIS) enable farmers and pastoralists to better understand, anticipate and manage climate risks. At a national level, Senegal’s foundation for CIS is among the strongest in West Africa. Yet the potential contribution of CIS to the wellbeing of the country’s farmers and agropastoralists remains underexploited and inequitably distributed. Impediments include economic and gender-based disparities, inadequate integration of climate information into agricultural advisories, weak capacity to communicate and interpret probabilistic information at a climate time scale, and lack of climate knowledge among agricultural professionals who support farmers and agropastoralists with information and advisories. This InfoNote summarizes available evidence of the use and impact of CIS for Senegal’s farmers, and discusses what AICCRA is doing to alleviate impediments and enhance the benefits of CIS to Senegal’s farming population