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M. Söderström; K. Piikki; H. Stadig. 109. Yield maps for everyone – scaling drone models for satellite-based decision support. Precision agriculture ’21 2021, 1 .
AMA StyleM. Söderström, K. Piikki, H. Stadig. 109. Yield maps for everyone – scaling drone models for satellite-based decision support. Precision agriculture ’21. 2021; ():1.
Chicago/Turabian StyleM. Söderström; K. Piikki; H. Stadig. 2021. "109. Yield maps for everyone – scaling drone models for satellite-based decision support." Precision agriculture ’21 , no. : 1.
Justine M. Nyaga; Cecilia M. Onyango; Johanna Wetterlind; Mats Söderström. Correction to: Precision agriculture research in sub-Saharan Africa countries: a systematic map. Precision Agriculture 2021, 22, 1237 -1238.
AMA StyleJustine M. Nyaga, Cecilia M. Onyango, Johanna Wetterlind, Mats Söderström. Correction to: Precision agriculture research in sub-Saharan Africa countries: a systematic map. Precision Agriculture. 2021; 22 (4):1237-1238.
Chicago/Turabian StyleJustine M. Nyaga; Cecilia M. Onyango; Johanna Wetterlind; Mats Söderström. 2021. "Correction to: Precision agriculture research in sub-Saharan Africa countries: a systematic map." Precision Agriculture 22, no. 4: 1237-1238.
Advancements in the development of gamma-ray spectrometers (GRS) have led to small and lightweight spectrometers that can be used under unmanned aerial vehicles (UAVs). Airborne GRS measurements are used to determine radionuclide concentrations in the ground, among which the natural occurring radionuclides 40K, 238U, and 232Th. For successful applications of these GRS sensors, it is important that absolute values of concentrations can be measured. To extract these absolute radionuclide concentrations, airborne gamma-ray data has to be corrected for measurement height. However, the current analysis models are only valid for the height range of 50–250 m. The purpose of this study is to develop a procedure that correctly predicts the true radionuclide concentration in the ground when measuring in the UAV operating range of 0–40 m. An analytical model is developed to predict the radiation footprint as a function of height. This model is used as a tool to properly determine a source-detector geometry to be used in Monte-Carlo simulations of detector response at various elevations between 0 and 40 m. The analytical model predicts that the smallest achievable footprint at 10 m height lies between 22 and 91 m and between 40 and 140 m at 20 m height. By using Monte-Carlo simulations it is shown that the analytical model correctly predicts the reduction in full energy peak gamma-rays, but does not predict the Compton continuum of a spectrum as a function of height. Therefore, Monte-Carlo simulations should be used to predict the shape and intensity of gamma-ray spectra as a function of height. A finite set of Monte-Carlo simulations at intervals of 5 m were used for the analysis of GRS measurements at heights up to 35 m. The resulting radionuclide concentrations at every height agree with the radionuclide concentration measured on the ground.
S. van der Veeke; J. Limburg; R.L. Koomans; M. Söderström; S.N. de Waal; E.R. van der Graaf. Footprint and height corrections for UAV-borne gamma-ray spectrometry studies. Journal of Environmental Radioactivity 2021, 231, 106545 .
AMA StyleS. van der Veeke, J. Limburg, R.L. Koomans, M. Söderström, S.N. de Waal, E.R. van der Graaf. Footprint and height corrections for UAV-borne gamma-ray spectrometry studies. Journal of Environmental Radioactivity. 2021; 231 ():106545.
Chicago/Turabian StyleS. van der Veeke; J. Limburg; R.L. Koomans; M. Söderström; S.N. de Waal; E.R. van der Graaf. 2021. "Footprint and height corrections for UAV-borne gamma-ray spectrometry studies." Journal of Environmental Radioactivity 231, no. : 106545.
Opportunities exist for adoption of precision agriculture technologies in all parts of the world. The form of precision agriculture may vary from region to region depending on technologies available, knowledge levels and mindsets. The current review examined research articles in the English language on precision agriculture practices for increased productivity among smallholder farmers in Sub-Saharan Africa. A total of 7715 articles were retrieved and after screening 128 were reviewed. The results indicate that a number of precision agriculture technologies have been tested under SSA conditions and show promising results. The most promising precision agriculture technologies identified were the use of soil and plant sensors for nutrient and water management, as well as use of satellite imagery, GIS and crop-soil simulation models for site-specific management. These technologies have been shown to be crucial in attainment of appropriate management strategies in terms of efficiency and effectiveness of resource use in SSA. These technologies are important in supporting sustainable agricultural development. Most of these technologies are, however, at the experimental stage, with only South Africa having applied them mainly in large-scale commercial farms. It is concluded that increased precision in input and management practices among SSA smallholder farmers can significantly improve productivity even without extra use of inputs.
Cecilia Onyango; Justine Nyaga; Johanna Wetterlind; Mats Söderström; Kristin Piikki. Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review. Sustainability 2021, 13, 1158 .
AMA StyleCecilia Onyango, Justine Nyaga, Johanna Wetterlind, Mats Söderström, Kristin Piikki. Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review. Sustainability. 2021; 13 (3):1158.
Chicago/Turabian StyleCecilia Onyango; Justine Nyaga; Johanna Wetterlind; Mats Söderström; Kristin Piikki. 2021. "Precision Agriculture for Resource Use Efficiency in Smallholder Farming Systems in Sub-Saharan Africa: A Systematic Review." Sustainability 13, no. 3: 1158.
Precision agriculture (PA) has a huge potential for growth in sub-Saharan Africa (SSA), but it faces a number of social-economic and technological challenges. This study sought to map existing PA research and application in SSA countries following the methodology for systematic mapping in environmental sciences. After screening for relevance, the initial about 7715 articles was reduced to 128. Results show that most of the studies were conducted in countries with socio-economic and technological advancement, mainly South Africa followed by Nigeria and Kenya. The studies were conducted at various scales ranging from field to country level with field scale studies being the most common. Most studies were conducted in relatively small farms typical of most farmlands in SSA. Studies done in relatively large farms are fewer, and such farms would likely belong to a few organisations and individuals with high economic capacity. Many of these studies have been conducted by researchers from outside SSA and a combination of researchers from within and outside SSA. However, based on authorship of the articles, it appears that most of the studies conducted in SSA on precision agriculture have either involved or depended on non-African researchers. It is concluded that there have been significant strides towards use of precision agriculture in SSA. However, with about 21 countries having no research done, there exists greater potential for precision agriculture in the region. Besides, there is need for more research to investigate the low usage of precision agriculture for livestock management.
Justine M. Nyaga; Cecilia M. Onyango; Johanna Wetterlind; Mats Söderström. Precision agriculture research in sub-Saharan Africa countries: a systematic map. Precision Agriculture 2021, 22, 1217 -1236.
AMA StyleJustine M. Nyaga, Cecilia M. Onyango, Johanna Wetterlind, Mats Söderström. Precision agriculture research in sub-Saharan Africa countries: a systematic map. Precision Agriculture. 2021; 22 (4):1217-1236.
Chicago/Turabian StyleJustine M. Nyaga; Cecilia M. Onyango; Johanna Wetterlind; Mats Söderström. 2021. "Precision agriculture research in sub-Saharan Africa countries: a systematic map." Precision Agriculture 22, no. 4: 1217-1236.
Grasslands occupy almost half of the world's land area. Soil organic carbon (SOC) is a key indicator of soil fertility and grassland productivity. Increasing SOC stocks (so‐called SOC sequestration) improves soil fertility and contributes to climate change mitigation by binding atmospheric carbon dioxide (CO2). Grasslands constitute about 70% of all agricultural land, but their potential for SOC sequestration is largely unknown. This review paper quantitatively summarizes observation‐based studies on the SOC sequestration potential of grasslands in six East African countries (Burundi, Ethiopia, Kenya, Rwanda, Tanzania and Uganda) and seeks to identify knowledge gaps related to SOC sequestration potential in the region. In the studies reviewed, SOC stocks in grasslands range from 3 to 93 Mg C/ha in the upper 0.3 m of the soil profile, while SOC sequestration rate ranges from 0.1 to 3.1 Mg C ha‐1 year‐1 under different management strategies. Grazing management is reported to have a considerable impact on SOC sequestration rates, and grassland regeneration and protection are recommended as options to stimulate SOC sequestration. However, a very limited number of relevant studies are available (n = 23) and there is a need for fundamental information on SOC sequestration potential in the region. The effectiveness of potential incentive mechanisms, such as payments for environmental services, to foster uptake of SOC‐enhancing practices should also be assessed.
Bezaye Tessema; Rolf Sommer; Kristin Piikki; Mats Söderström; Sara Namirembe; An Notenbaert; Lulseged Tamene; Sylvia Sarah Nyawira; Birthe Paul. Potential for soil organic carbon sequestration in grasslands in East African countries: A review. Grassland Science 2020, 66, 135 -144.
AMA StyleBezaye Tessema, Rolf Sommer, Kristin Piikki, Mats Söderström, Sara Namirembe, An Notenbaert, Lulseged Tamene, Sylvia Sarah Nyawira, Birthe Paul. Potential for soil organic carbon sequestration in grasslands in East African countries: A review. Grassland Science. 2020; 66 (3):135-144.
Chicago/Turabian StyleBezaye Tessema; Rolf Sommer; Kristin Piikki; Mats Söderström; Sara Namirembe; An Notenbaert; Lulseged Tamene; Sylvia Sarah Nyawira; Birthe Paul. 2020. "Potential for soil organic carbon sequestration in grasslands in East African countries: A review." Grassland Science 66, no. 3: 135-144.
Portable X-ray fluorescence (PXRF) measurements on 1520 soil samples were used to create national prediction models for copper (Cu), zinc (Zn), and cadmium (Cd) concentrations in agricultural soil. The models were validated at both national and farm scales. Multiple linear regression (MLR), random forest (RF), and multivariate adaptive regression spline (MARS) models were created and compared. National scale cross-validation of the models gave the following R2 values for predictions of Cu (R2 = 0.63), Zn (R2 = 0.92), and Cd (R2 = 0.70) concentrations. Independent validation at the farm scale revealed that Zn predictions were relatively successful regardless of the model used (R2 > 0.90), showing that a simple MLR model can be sufficient for certain predictions. However, predictions at the farm scale revealed that the non-linear models, especially MARS, were more accurate than MLR for Cu (R2 = 0.94) and Cd (R2 = 0.80). These results show that multivariate modelling can compensate for some of the shortcomings of the PXRF device (e.g., high limits of detection for certain elements and some elements not being directly measurable), making PXRF sensors capable of predicting elemental concentrations in soil at comparable levels of accuracy to conventional laboratory analyses.
Karl Adler; Kristin Piikki; Mats Söderström; Jan Eriksson; Omran Alshihabi. Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements. Sensors 2020, 20, 474 .
AMA StyleKarl Adler, Kristin Piikki, Mats Söderström, Jan Eriksson, Omran Alshihabi. Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements. Sensors. 2020; 20 (2):474.
Chicago/Turabian StyleKarl Adler; Kristin Piikki; Mats Söderström; Jan Eriksson; Omran Alshihabi. 2020. "Predictions of Cu, Zn, and Cd Concentrations in Soil Using Portable X-Ray Fluorescence Measurements." Sensors 20, no. 2: 474.
Cropland soils are considered to have the potential to sequester atmospheric CO2 through agronomic best management practices (BMPs). To estimate this potential in East Africa, the authors reviewed 69 published studies from Ethiopia, Kenya, Rwanda, Tanzania, Uganda, and Burundi assessing the effect of land use conversion from native vegetation to cropland on soil organic carbon (SOC) and the extent to which carbon sequestration is feasible through BMPs. Reported losses of SOC in the top 30 cm of the soil profile in short (25 years) term were 6.7 ± 6.0, 13.0 ± 9.2, and 2.8 ± 1.0 t C ha–1 year–1, respectively, for forest-to-cropland; and 16.0, 2.1 ± 2.2 and 0.3 ± 0.8 t C ha–1 year–1 respectively, for woodland-to-cropland conversion. Duration to steady-state SOC was 21–38 years for forest-to-cropland conversion. Short-term SOC sequestration (t C ha–1 year–1) in the 0–30 cm layer as a result of BMPs was 19.7 ± 3.9 from crop residues, 14.8 ± 8.7 from farmyard manure, 3.5 ± 4.5 from inorganic fertilizers, 2.7 from agroforestry, and 2.5 from improved fallow. However, the studies reviewed were mostly short-term and concentrated to a few locations. Future research should address these gaps.
S Namirembe; K Piikki; R Sommer; M Söderström; B Tessema; Ss Nyawira. Soil organic carbon in agricultural systems of six countries in East Africa – a literature review of status and carbon sequestration potential. South African Journal of Plant and Soil 2020, 37, 35 -49.
AMA StyleS Namirembe, K Piikki, R Sommer, M Söderström, B Tessema, Ss Nyawira. Soil organic carbon in agricultural systems of six countries in East Africa – a literature review of status and carbon sequestration potential. South African Journal of Plant and Soil. 2020; 37 (1):35-49.
Chicago/Turabian StyleS Namirembe; K Piikki; R Sommer; M Söderström; B Tessema; Ss Nyawira. 2020. "Soil organic carbon in agricultural systems of six countries in East Africa – a literature review of status and carbon sequestration potential." South African Journal of Plant and Soil 37, no. 1: 35-49.
This was a retrospective cohort study of Swedish dairy herds. Summary measures of production and reproductive performance, details of soil, moss mineral concentrations, and temperature and rainfall measurements at each herd location were available for the period September 2001 to August 2009. A Bayesian mixed-effects regression model including spatial and non-spatial heterogeneity terms was developed to quantify associations between hypothesised explanatory variables and mean herd breeding interval, defined as the difference between mean calving to last service interval and mean calving to first service interval for each fiscal year. Mean herd breeding intervals were shorter in herds with greater than 80% Swedish Red Cattle, herds with lower mean age at first calving, herds comprised of older cows and in larger herds. None of the soil composition or moss mineral concentration estimates were associated with mean herd breeding interval and the effect of temperature and rainfall on mean herd breeding interval was small. We conclude that environmental conditions (soil composition, moss mineral concentrations, environmental temperature and rainfall) had relatively minor effects on dairy herd reproductive performance in Sweden between 2001 and 2009.
M.A. Stevenson; E. Löf; Mats Söderström; H. Gustafsson; Ulf Emanuelson. Herd and environmental determinants of reproductive performance in Swedish dairy herds, 2001-2009. Spatial and Spatio-temporal Epidemiology 2019, 31, 100299 .
AMA StyleM.A. Stevenson, E. Löf, Mats Söderström, H. Gustafsson, Ulf Emanuelson. Herd and environmental determinants of reproductive performance in Swedish dairy herds, 2001-2009. Spatial and Spatio-temporal Epidemiology. 2019; 31 ():100299.
Chicago/Turabian StyleM.A. Stevenson; E. Löf; Mats Söderström; H. Gustafsson; Ulf Emanuelson. 2019. "Herd and environmental determinants of reproductive performance in Swedish dairy herds, 2001-2009." Spatial and Spatio-temporal Epidemiology 31, no. : 100299.
Kristin Piikki; Mats Söderström. Digital soil mapping of arable land in Sweden – Validation of performance at multiple scales. Geoderma 2019, 352, 342 -350.
AMA StyleKristin Piikki, Mats Söderström. Digital soil mapping of arable land in Sweden – Validation of performance at multiple scales. Geoderma. 2019; 352 ():342-350.
Chicago/Turabian StyleKristin Piikki; Mats Söderström. 2019. "Digital soil mapping of arable land in Sweden – Validation of performance at multiple scales." Geoderma 352, no. : 342-350.
Soil organic carbon (SOC) sequestration is important in the global carbon cycle and an integral part of many initiatives and policies to mitigate climate change. For efficient targeting of measures leading to SOC sequestration, it is necessary to know the actual SOC content (%) and a realistic target SOC content (in contrast to the saturation content, which may not be easily achievable) under local biophysical and socioeconomic conditions. We developed a new method for the practical assessment of achievable SOC sequestration concerning soil texture based on a non-linear boundary plane approach, also applicable for mapping of SOC sequestration hotspots. The method was tested at two spatial scales (a 125 km2 catchment and a 4 km2 sub-area of that catchment) in a region in Western Kenya characterized by smallholder farming. Moreover, we assessed the associated benefits of increasing the SOC content from a crop production perspective and found significant correlations between SOC and other soil properties (pH, cation exchange capacity, and various plant-available macro- and micronutrients). This indicates a possible improvement in soil fertility when the SOC content is raised to the modeled target levels, which should be attainable without major changes in land use or agricultural systems.
Kristin Piikki; Mats Söderström; Rolf Sommer; Mayesse Da Silva; Sussy Munialo; Wuletawu Abera. A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement. Sustainability 2019, 11, 4038 .
AMA StyleKristin Piikki, Mats Söderström, Rolf Sommer, Mayesse Da Silva, Sussy Munialo, Wuletawu Abera. A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement. Sustainability. 2019; 11 (15):4038.
Chicago/Turabian StyleKristin Piikki; Mats Söderström; Rolf Sommer; Mayesse Da Silva; Sussy Munialo; Wuletawu Abera. 2019. "A Boundary Plane Approach to Map Hotspots for Achievable Soil Carbon Sequestration and Soil Fertility Improvement." Sustainability 11, no. 15: 4038.
T. Börjesson; S. Wolters; Mats Söderström. Satellite-based modelling of protein content in winter wheat and malting barley. Precision agriculture ’19 2019, 1 .
AMA StyleT. Börjesson, S. Wolters, Mats Söderström. Satellite-based modelling of protein content in winter wheat and malting barley. Precision agriculture ’19. 2019; ():1.
Chicago/Turabian StyleT. Börjesson; S. Wolters; Mats Söderström. 2019. "Satellite-based modelling of protein content in winter wheat and malting barley." Precision agriculture ’19 , no. : 1.
S. Wolters; Mats Söderström; K. Piikki; M. Stenberg. Near-real time winter wheat N uptake from a combination of proximal and remote optical measurements: how to refine Sentinel-2 satellite images for use in a precision agriculture decision support system. Precision agriculture ’19 2019, 1 .
AMA StyleS. Wolters, Mats Söderström, K. Piikki, M. Stenberg. Near-real time winter wheat N uptake from a combination of proximal and remote optical measurements: how to refine Sentinel-2 satellite images for use in a precision agriculture decision support system. Precision agriculture ’19. 2019; ():1.
Chicago/Turabian StyleS. Wolters; Mats Söderström; K. Piikki; M. Stenberg. 2019. "Near-real time winter wheat N uptake from a combination of proximal and remote optical measurements: how to refine Sentinel-2 satellite images for use in a precision agriculture decision support system." Precision agriculture ’19 , no. : 1.
K. Piikki; Mats Söderström; H. Stadig; J. Martinsson. Automated mixed-scale data fusion for mapping of within-field variation in a national decision support system - the example of pH correction. Precision agriculture ’19 2019, 1 .
AMA StyleK. Piikki, Mats Söderström, H. Stadig, J. Martinsson. Automated mixed-scale data fusion for mapping of within-field variation in a national decision support system - the example of pH correction. Precision agriculture ’19. 2019; ():1.
Chicago/Turabian StyleK. Piikki; Mats Söderström; H. Stadig; J. Martinsson. 2019. "Automated mixed-scale data fusion for mapping of within-field variation in a national decision support system - the example of pH correction." Precision agriculture ’19 , no. : 1.
Molybdenum is toxic to ruminants when present in high levels in forage, causing physiological copper deficiency. A critical level for ruminants is 3-10 mg Mo kg-1 dry matter. The average Mo level varies considerably between different arable soils, depending mainly on soil parent material. This study investigated the possibility of using various existing sources of geospatial information (geophysical, biogeochemical and soil chemical) to develop a geography-based risk assessment system. Forage samples (n = 173) were collected in 2006-2007. Three types of national geoscientific datasets were tested: (1) SEPA topsoil, comprising data from arable land within the Swedish environmental monitoring programme; (2) SGU biogeochemical, containing data from aquatic plant root material collected in small streams; and (3) SGU geophysical, consisting of data from airborne gamma-ray scanning. The digital postcode area map was used for geocoding, with Mo concentrations in forage assigned to arable parts of the corresponding postcode area. By combining this with the three national geoscientific databases, it was possible to construct a risk map using fuzzy classification depicting High-risk, Intermediate-risk, Low-risk and Very-low-risk areas. The map was validated using 42 randomly selected samples. All samples but one with Mo > 3 mg kg-1 were found in postcode areas designated High risk. Thus, the risk map developed seems to be useful as a decision support system on where standard forage analyses need to be supplemented with Mo analyses.
U. Axelson; Mats Söderström; A. Jonsson. Risk assessment of high concentrations of molybdenum in forage. Environmental Geochemistry and Health 2018, 40, 2685 -2694.
AMA StyleU. Axelson, Mats Söderström, A. Jonsson. Risk assessment of high concentrations of molybdenum in forage. Environmental Geochemistry and Health. 2018; 40 (6):2685-2694.
Chicago/Turabian StyleU. Axelson; Mats Söderström; A. Jonsson. 2018. "Risk assessment of high concentrations of molybdenum in forage." Environmental Geochemistry and Health 40, no. 6: 2685-2694.
Recent estimates show that one third of the world’s land and water resources are highly or moderately degraded. Global economic losses from land degradation (LD) are as high as USD $10.6 trillion annually. These trends catalyzed a call for avoiding future LD, reducing ongoing LD, and reversing past LD, which has culminated in the adoption of Sustainable Development Goal (SDG) Target 15.3 which aims to achieve global land degradation neutrality (LDN) by 2030. The political momentum and increased body of scientific literature have led to calls for a ‘new science of LDN’ and highlighted the practical challenges of implementing LDN. The aim of the present study was to derive LDN soil organic carbon (SOC) stock baseline maps by comparing different digital soil mapping (DSM) methods and sampling densities in a case study (Otjozondjupa, Namibia) and evaluate each approach with respect to complexity, cost, and map accuracy. The mean absolute error (MAE) leveled off after 100 samples were included in the DSM models resulting in a cost tradeoff for additional soil sample collection. If capacity is sufficient, the random forest DSM method out-performed other methods, but the improvement from using this more complex method compared to interpolating the soil sample data by ordinary kriging was minimal. The lessons learned while developing the Otjozondjupa LDN SOC baseline provide valuable insights for others who are responsible for developing LDN baselines elsewhere.
RaviC Nijbroek; Kristin Piikki; Mats Söderström; Bas Kempen; Katrine Turner; Simeon Hengari; John Mutua. Soil Organic Carbon Baselines for Land Degradation Neutrality: Map Accuracy and Cost Tradeoffs with Respect to Complexity in Otjozondjupa, Namibia. Sustainability 2018, 10, 1610 .
AMA StyleRaviC Nijbroek, Kristin Piikki, Mats Söderström, Bas Kempen, Katrine Turner, Simeon Hengari, John Mutua. Soil Organic Carbon Baselines for Land Degradation Neutrality: Map Accuracy and Cost Tradeoffs with Respect to Complexity in Otjozondjupa, Namibia. Sustainability. 2018; 10 (5):1610.
Chicago/Turabian StyleRaviC Nijbroek; Kristin Piikki; Mats Söderström; Bas Kempen; Katrine Turner; Simeon Hengari; John Mutua. 2018. "Soil Organic Carbon Baselines for Land Degradation Neutrality: Map Accuracy and Cost Tradeoffs with Respect to Complexity in Otjozondjupa, Namibia." Sustainability 10, no. 5: 1610.
Jaanis Juhanson; Sara Hallin; Mats Söderström; Maria Stenberg; Christopher M. Jones. Spatial and phyloecological analyses of nosZ genes underscore niche differentiation amongst terrestrial N2O reducing communities. Soil Biology and Biochemistry 2017, 115, 82 -91.
AMA StyleJaanis Juhanson, Sara Hallin, Mats Söderström, Maria Stenberg, Christopher M. Jones. Spatial and phyloecological analyses of nosZ genes underscore niche differentiation amongst terrestrial N2O reducing communities. Soil Biology and Biochemistry. 2017; 115 ():82-91.
Chicago/Turabian StyleJaanis Juhanson; Sara Hallin; Mats Söderström; Maria Stenberg; Christopher M. Jones. 2017. "Spatial and phyloecological analyses of nosZ genes underscore niche differentiation amongst terrestrial N2O reducing communities." Soil Biology and Biochemistry 115, no. : 82-91.
Jan Eriksson; A. Sigrun Dahlin; Gustav Sohlenius; Mats Söderström; Ingrid Öborn. Spatial patterns of essential trace element concentrations in Swedish soils and crops. Geoderma Regional 2017, 10, 163 -174.
AMA StyleJan Eriksson, A. Sigrun Dahlin, Gustav Sohlenius, Mats Söderström, Ingrid Öborn. Spatial patterns of essential trace element concentrations in Swedish soils and crops. Geoderma Regional. 2017; 10 ():163-174.
Chicago/Turabian StyleJan Eriksson; A. Sigrun Dahlin; Gustav Sohlenius; Mats Söderström; Ingrid Öborn. 2017. "Spatial patterns of essential trace element concentrations in Swedish soils and crops." Geoderma Regional 10, no. : 163-174.
Mats Söderström; Kristin Piikki; Maria Stenberg; Henrik Stadig; Johan Martinsson. Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 2017, 67, 637 -650.
AMA StyleMats Söderström, Kristin Piikki, Maria Stenberg, Henrik Stadig, Johan Martinsson. Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science. 2017; 67 (7):637-650.
Chicago/Turabian StyleMats Söderström; Kristin Piikki; Maria Stenberg; Henrik Stadig; Johan Martinsson. 2017. "Producing nitrogen (N) uptake maps in winter wheat by combining proximal crop measurements with Sentinel-2 and DMC satellite images in a decision support system for farmers." Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 67, no. 7: 637-650.
Deoxynivalenol (DON) in cereals, produced by Fusarium fungi, cause poisoning in humans and animals. Fusarium infections in cereals are favoured by humid conditions. Host species are susceptible mainly during the anthesis stage. Infections are also positively correlated with a regional history of Fusarium infections, frequent cereal production and non-tillage field management practices. Here, previously developed process-based models based on relative air humidity, rain and temperature conditions, Fusarium sporulation, host phenology and mycelium growth in host tissue were adapted and tested on oats. Model outputs were used to calculate risk indices. Statistical multivariate models, where independent variables were constructed from weather data, were also developed. Regressions of the risk indices obtained against DON concentrations in field experiments on oats in Sweden and Norway 2012–14 had coefficient of determination values (R2) between 0.84 and 0.88. Regressions of the same indices against DON concentrations in oat samples averaged for 11 × 11 km grids in farmers’ fields in Sweden 2012–14 resulted in R2 values between 0.27 and 0.41 for randomly selected grids and between 0.31 and 0.62 for grids with average DON concentration above 1000 μg kg–1 grain in the previous year. When data from all three years were evaluated together, a cross-validated statistical partial least squares model resulted in R2 = 0.70 and a standard error of cross-validation (SECV) = 522 μg kg–1 grain for the period 1 April–28 August in the construction of independent variables and R2 = 0.54 and SECV = 647 μg kg–1 grain for 1 April–23 June. Factors that were not accounted for in this study probably explain large parts of the variation in DON among samples and make further model development necessary before these models can be used practically. DON prediction in oats could potentially be improved by combining weather-based risk index outputs with agronomic factors.
Tomas Persson; Henrik Eckersten; Oleif Elen; Anne-Grete Roer Hjelkrem; Joel Markgren; Mats Söderström; Thomas Börjesson. Predicting deoxynivalenol in oats under conditions representing Scandinavian production regions. Food Additives & Contaminants: Part A 2017, 34, 1026 -1038.
AMA StyleTomas Persson, Henrik Eckersten, Oleif Elen, Anne-Grete Roer Hjelkrem, Joel Markgren, Mats Söderström, Thomas Börjesson. Predicting deoxynivalenol in oats under conditions representing Scandinavian production regions. Food Additives & Contaminants: Part A. 2017; 34 (6):1026-1038.
Chicago/Turabian StyleTomas Persson; Henrik Eckersten; Oleif Elen; Anne-Grete Roer Hjelkrem; Joel Markgren; Mats Söderström; Thomas Börjesson. 2017. "Predicting deoxynivalenol in oats under conditions representing Scandinavian production regions." Food Additives & Contaminants: Part A 34, no. 6: 1026-1038.