Article
Environmental Sciences
Benjamin Bukombe, Sandor Csenki, Dora Szlatenyi, Ivan Czako, Vince Lang
Summary: Waterlogging in agriculture poses significant threats, but remote sensing data and drainage systems can be used to monitor and manage it. This study combines various data and statistical models to detect potential waterlogging sites and demonstrate the positive impact of drainage systems on farm profitability. These results highlight the importance of data-driven decision-making for agricultural project planning and resource management.
Article
Microbiology
Oluwatobi Kolawole, Karl De Ruyck, Brett Greer, Julie Meneely, Fiona Doohan, Martin Danaher, Christopher Elliott
Summary: LC-MS/MS analysis of 202 oat crops grown in Ireland revealed key factors influencing mycotoxin prevalence and concentration, including farming system and previous crop. Organic farming systems and planting oats after a previous crop of grass were found to decrease contamination by type A trichothecenes.
Article
Food Science & Technology
Mariana Pinheiro, Caio H. T. Iwase, Bruno G. Bertozzi, Elem T. S. Carames, Lorena Carnielli-Queiroz, Nadia C. Langaro, Eliana B. Furlong, Benedito Correa, Liliana O. Rocha
Summary: The study investigated fungal diversity and mycotoxin contamination in freshly harvested oat samples from Parana and Rio Grande do Sul in Brazil. Fusarium genus was predominant, with presence of type B trichothecenes. Oats from PR were mainly contaminated with DON, while those from RS were predominantly contaminated with NIV.
Article
Environmental Sciences
Chaofeng Li, Chenglan Liu
Summary: The fungicidal activity and enantioselective effect of prothioconazole enantiomers on DON production, transcriptome and metabolome of F. graminearum are studied in this research. The results indicate that R-(-)-prothioconazole has higher fungicidal activity and can induce F. graminearum to synthesize more DON compared to S-(+)-prothioconazole. The expression levels of several genes in different pathways are influenced by prothioconazole enantiomers treatment.
ENVIRONMENTAL POLLUTION
(2022)
Article
Food Science & Technology
Antoni Femenias, Enric Llorens-Serentill, Antonio J. Ramos, Vicente Sanchis, Sonia Marin
Summary: This study focuses on the application of Near-Infrared Hyperspectral Imaging (HSI-NIR) for detecting and discriminating DON in Fusarium Damaged Kernels (FDK) exceeding the EU limit. The results show that HSI-NIR can accurately predict DON levels and effectively classify wheat contaminations.
Review
Agronomy
Shayan Ghajar, Benjamin Tracy
Summary: Reliable measures of biomass, species composition, nitrogen status, and nutritive value provide key indicators for assessing pastures and rangelands, although traditional sample collection methods require significant investments in time and labor. Proximal sensing technologies offer potential for more efficient data collection, but challenges remain in standardizing methods and protocols, as well as ensuring accuracy and utility across different equipment and software platforms. This review explores the current development of methods to assess pastures and rangelands globally and considers the implications of these emerging technologies within the context of diffusion of innovation theory.
Article
Food Science & Technology
Qian Xiu, Lianyu Bi, Haorong Xu, Tao Li, Zehua Zhou, Zhongke Li, Jianxin Wang, Yabing Duan, Mingguo Zhou
Summary: Quinofumelin shows excellent antifungal activity against Fusarium graminearum, inhibiting both mycelial growth and spore germination, as well as disrupting the formation of the Fusarium toxisome. Additionally, it also inhibits deoxynivalenol (DON) biosynthesis and reduces the expression of DON-related genes in F. graminearum, making it a promising candidate for controlling Fusarium head blight.
Article
Biochemistry & Molecular Biology
Tomasz K. Gozdziewicz, Anna Maciejewska, Alona Tsybulska, Czeslaw Lugowski, Jolanta Lukasiewicz
Summary: Enterobacterial common antigen (ECA) is a conserved antigen expressed by enterobacteria in different forms. This study used various techniques to purify, fractionate, and analyze the structure of ECA, revealing the complexity of ECA derived from LPS supernatants.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Plant Sciences
Chuanhong Bian, Yabing Duan, Qian Xiu, Jueyu Wang, Xian Tao, Mingguo Zhou
Summary: In this study, it was discovered that both FgNTH and FgATH are targets of validamycin A (VMA) in Fusarium graminearum, with FgNTH being the main target. Deficiency in FgNTH and FgATH affects the sensitivity to VMA, highlighting their importance in vegetative growth and sexual reproduction. Additionally, the interaction between FgNTH and FgPK, along with the regulation of FgCYP51A and FgCYP51B by FgNTH, contributes to the inhibition of deoxynivalenol (DON) biosynthesis and enhances sensitivity to demethylation inhibitor (DMI) fungicides.
MOLECULAR PLANT PATHOLOGY
(2021)
Article
Food Science & Technology
Ye Tian, Dachuan Zhang, Pengli Cai, Huikang Lin, Hao Ying, Qian-Nan Hu, Aibo Wu
Summary: The review article summarized recent research on microbial and enzymatic methods for eliminating Fusarium mycotoxin DON, highlighting the potential of biological approaches for DON detoxification. The proposed conceptual framework combining computational tools with multi-omics approaches for discovering DON detoxification enzymes provides a new foundation for future mycotoxin detoxification research.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Microbiology
Congxian Wu, Huilin Chen, Mingyue Yuan, Meiru Zhang, Yakubu Saddeeq Abubakar, Xin Chen, Haoming Zhong, Wenhui Zheng, Huawei Zheng, Jie Zhou
Summary: This study reveals the important functions of the AP1 complex subunit FgAP1(sigma) in the wheat pathogenic fungus Fusarium graminearum, including regulating cell division, reproductive development, pathogenicity, and toxin production. FgAP1(sigma) also plays a crucial role in cell wall integrity and osmotic stress, as well as the transportation of Golgi and endosomes. These findings have significant implications for the prevention and control of Fusarium head blight in wheat.
Review
Environmental Sciences
Alireza Sanaeifar, Ce Yang, Miguel de la Guardia, Wenkai Zhang, Xiaoli Li, Yong He
Summary: Recent advances and challenges in using proximal hyperspectral sensing for assessing plant abiotic stresses have been critically reviewed. This technique provides high-resolution images for studying plant physiology and monitoring spatio-temporal variations. The comprehensive review of 362 research papers shows the wide range of applications for detecting different types of abiotic stresses in plants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Xiao Sun, Yunlin Zhang, Kun Shi, Yibo Zhang, Na Li, Weijia Wang, Xin Huang, Boqiang Qin
Summary: Proximal remote sensing combined with machine learning algorithms showed great potential in monitoring water quality in inland waters with high accuracy. Developed and validated models led to effective and continuous monitoring of various water bodies.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Plant Sciences
Mirko Pavicic, Katriina Mouhu, Juho Hautsalo, Daniel Jacobson, Marja Jalli, Kristiina Himanen
Summary: Oat-based value-added products have increased their value, but face challenges from Fusarium head blight infections and mycotoxins. Breeding new resistant cultivars is difficult due to the lack of genetic links against FHB infection in oats. Effective breeding efforts and improved phenotyping methods are needed.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Agronomy
Shlomo Sarig, Eli Shlevin, Arkadi Zilberman, Idan Richker, Mordechay Dudai, Shlomo Nezer, Jiftah Ben-Asher
Summary: Canopy nitrogen status is strongly related to canopy chlorophyll content and green color strength. A study utilized RGB camera photographs to develop a tool for assessing plant leaf nitrogen content. The research successfully monitored and calculated nitrogen levels using image processing algorithms and laboratory tests. Additionally, determining nitrogen application based on smartphone photographs proved to be a useful, cost-effective method for growers with smartphones.
Article
Green & Sustainable Science & Technology
Kristin Piikki, Mats Soderstrom, Rolf Sommer, Mayesse Da Silva, Sussy Munialo, Wuletawu Abera
Review
Agriculture, Multidisciplinary
Bezaye Tessema, Rolf Sommer, Kristin Piikki, Mats Soderstrom, Sara Namirembe, An Notenbaert, Lulseged Tamene, Sylvia Nyawira, Birthe Paul
Article
Chemistry, Analytical
Karl Adler, Kristin Piikki, Mats Soderstrom, Jan Eriksson, Omran Alshihabi
Article
Agriculture, Multidisciplinary
S. Wolters, M. Soderstrom, K. Piikki, H. Reese, M. Stenberg
Summary: Total nitrogen content in aboveground biomass of winter wheat was estimated using satellite data and applied in a decision support system for precision agriculture. The use of a linear model based on the red-edge chlorophyll index provided the best prediction of N-uptake, showing potential for variable-rate N application.
PRECISION AGRICULTURE
(2021)
Article
Agriculture, Multidisciplinary
Justine M. Nyaga, Cecilia M. Onyango, Johanna Wetterlind, Mats Soderstrom
Summary: Precision agriculture has great potential for growth in sub-Saharan Africa, but it faces challenges in terms of socio-economic factors and technology. Most research has been conducted in countries like South Africa, Nigeria, and Kenya, primarily on small farms. Collaboration between researchers from inside and outside Africa has played a significant role in advancing precision agriculture in the region.
PRECISION AGRICULTURE
(2021)
Review
Soil Science
Kristin Piikki, Johanna Wetterlind, Mats Soderstrom, Bo Stenberg
Summary: The systematic mapping of validation methods used in digital soil mapping (DSM) indicated that while most publications include map validation, essential information such as sampling design and sample support is often lacking in the method descriptions, making interpretation of validation metrics difficult and compromising their usefulness.
SOIL USE AND MANAGEMENT
(2021)
Review
Green & Sustainable Science & Technology
Cecilia M. Onyango, Justine M. Nyaga, Johanna Wetterlind, Mats Soderstrom, Kristin Piikki
Summary: There are opportunities for the adoption of precision agriculture technologies worldwide. The use of various precision agriculture practices in Sub-Saharan Africa showed promising results in enhancing productivity among smallholder farmers. The implementation of these technologies can support sustainable agricultural development in the region.
Correction
Agriculture, Multidisciplinary
Justine M. Nyaga, Cecilia M. Onyango, Johanna Wetterlind, Mats Soderstrom
Summary: Correction to the paper has been published.
PRECISION AGRICULTURE
(2021)
Article
Environmental Sciences
Wuletawu Abera, Lulseged Tamene, Assefa Abegaz, Habtamu Hailu, Kristin Piikki, Mats Soderstrom, Evan Girvetz, Rolf Sommer
Summary: The study aimed to assess the spatial dynamics of SOC in four selected SLMP watersheds in the Ethiopian highlands and estimate SOC sequestration using model building strategies and machine learning models. The impact of SLM practices on SOC was evaluated through the analysis of SOC stock and potential sequestration levels.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
S. van der Veeke, J. Limburg, R. L. Koomans, M. Soderstrom, S. N. de Waal, E. R. van der Graaf
Summary: Advancements in GRS development have led to small and lightweight spectrometers that can be used under UAVs to measure radionuclide concentrations in the ground. An analytical model is developed to predict radiation footprint as a function of height, aiding in proper source-detector geometry determination for Monte-Carlo simulations. Monte-Carlo simulations are used to predict gamma-ray spectra shape and intensity as a function of height, showing agreement with ground measurements up to 35 m.
JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
(2021)
Article
Environmental Sciences
S. van der Veeke, J. Limburg, R. L. Koomans, M. Soderstrom, E. R. van der Graaf
Summary: Large UAVs carrying heavy gamma-ray spectrometers have made it possible to map the distribution of naturally occurring radionuclides efficiently. The choice of detector size significantly influences the accuracy of the mapping results, with Th-232 concentration serving as a good predictor for soil types. Comparing UAV-borne measurements to ground-based measurements, it is found that UAV measurements at 20 m height are less sensitive to extreme values and tend to shift towards the mean concentration of the area.
JOURNAL OF ENVIRONMENTAL RADIOACTIVITY
(2021)
Article
Agronomy
Sandra Wolters, Mats Soderstrom, Kristin Piikki, Thomas Borjesson, Carl-Goran Pettersson
Summary: The study developed prediction models for crude protein concentration in winter wheat based on multispectral reflectance data from field trials in southern Sweden. Different prediction methods, including linear regression and multivariate adaptive regression splines (MARS), were tested, with linear regression performing comparably to MARS in some cases. The findings show the potential for applying these methods in decision support systems for precision agriculture.
ACTA AGRICULTURAE SCANDINAVICA SECTION B-SOIL AND PLANT SCIENCE
(2022)
Article
Agronomy
Karl Adler, Kristin Persson, Mats Soderstrom, Jan Eriksson, Carl-Goran Pettersson
Summary: A study in southern Sweden aimed to identify areas suitable for low-Cd winter wheat production. The study used a two-step approach, increasing the number of soil Cd observations and creating a soil Cd concentration map using a digital soil mapping model. The map can help find areas suitable for low-Cd winter wheat production.
Review
Agriculture, Multidisciplinary
S. Namirembe, K. Piikki, R. Sommer, M. Soderstrom, B. Tessema, S. S. Nyawira
SOUTH AFRICAN JOURNAL OF PLANT AND SOIL
(2020)
Article
Public, Environmental & Occupational Health
M. A. Stevenson, E. Lof, M. Soderstrom, H. Gustafsson, U. Emanuelson
SPATIAL AND SPATIO-TEMPORAL EPIDEMIOLOGY
(2019)