Environment and Agrifood
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Item Open Access Effect of temperature, relative humidity and incubation time on the mycotoxin production by Fusarium spp. responsible for dry rot in potato tubers(Cranfield University, 2024-08-01) Verheecke-Vaessen, CarolPotato is the fourth most consumed crop around the world. More than half of the potato crop is stored for three to nine months at cold temperatures (3- 10°C) for the fresh and seed market. One of the main causes of fresh potato waste in the retail supply chain is the appearance of fungal and bacterial rots during storage, around 3-5% of the potato crop is lost every year. Dry rot is a fungal disease that mainly affects the potato crop during storage and is responsible for a large volume of waste and associated economic losses. It is produced by Fusarium spp., such as Fusarium sambucinum and F. oxysporum. Understanding the ecophysiology of these fungi is a key point to mitigate their occurrence under commercial storage conditions. Therefore, this work aimed to elucidate the effect of three different temperatures (5, 10 and 15°C) and two different water activities (aw; 0.97, 0.99) on the ecophysiology and mycotoxin accumulation of F. sambucinum and F. oxysporum in a potato-based semi-synthetic medium. The mycotoxin accumulation was then studied in vivo, in potato tubers stored for 40 days at 8.5°C. Results showed that higher temperatures and aw enhanced fungal growth, lag time and mycotoxin accumulation in vitro. Six different mycotoxins (r-2, HT-2, diacetoxyscirpenol, 15-acetoxyscirpenol, neosolaniol and beau-vericin) were detected in vitro and in vivo. Due to the long period of time that potato tubers spend in storage, the fluctuations of environmental factors, such as temperature and relative humidity, could promote the development of fungal rots, as well as mycotoxin accumulation. This could result in important food and economical losses for the potato market, as well as a threat to the food safety of potato tubersItem Open Access Impact of Carbon Sources in Airport De-icing Compounds on the Growth of Sphaerotilus natans(Cranfield University, 2024-09-12) Exton, Benjamin; Grabowski, Robert; Hassard, Francis; Medina Vaya, AngelItem Open Access Dataset for Controlled atmosphere as cold chain support for extending postharvest life in cabbage(Cranfield University, 2024-09-04) Gage, Ewan; Falagán, Natalia; Terry, Leon AItem Restricted High resolution (cm scale) elevation data of Cockermouth Town, UK(Cranfield University, 2024-08-07) Mukherjee, Kriti; Rivas Casado, Monica; Ramachandran, Rakhee; Leinster, PaulThe project is focused on 'Harnessing long-term gridded rainfall data and microtopographic insights to characterise risk from surface water flooding'. The data provides the microtopography information of Cockermouth Town in England and the property resilience and resistance information. Three data sets are provided; 1.Elevation model at 25 cm resolution generated from lidar point clouds captured from aircraft; 2. Elevation model at 10 cm resolution generated from stereo photos captured by photographic cameras mounted on UAV; 3. shapefile having attributes related to flood resilience and resistance information for the residential buildings of Cockermouth Town.Item Open Access Martlewetal2023_Data(Cranfield University, 2024-08-05) Deeks, Lynda; Martlew, Joseph; Otten, Wilfred; Morris, NathanItem Open Access Application of Spatial Offset Raman Spectroscopy (SORS) and Machine Learning for Sugar Syrup Adulteration Detection in UK Honey(Cranfield University, 2024-07-31) Anastasiadi, MariaHoney authentication is a complex process which traditionally requires costly and time-consuming analytical techniques not readily available to the producers. The aim of this study was to develop non-invasive sensor methods coupled with multivariate data analysis for de-tecting the type and percentage of exogenous sugar adulteration in UK honeys. For this purpose, we employed through-container Spatial Offset Raman Spectroscopy (SORS) on 17 different types of natural honeys produced in the UK over the course of a season and the same honey samples spiked with rice and sugar beet syrups at levels 10%, 20%, 30%, 50% w/w. The data acquired were used to construct prediction models for 14 types of honey with similar Raman fingerprint using different algorithms, namely PLS-DA, XGBoost and Random Forest with the aim to detect the level of adulteration per type of sugar syrup. The best performing algorithm for classification was Random Forest with only 1% of the pure honeys misclassified as adulterated and < 3.5% of adulterated honey samples misclassified as pure. Random Forest was further employed to create a classification model which successfully classified samples according to the type of adulterant (rice or sugar beet) and the adulteration level. In addition, we collected SORS spectra from 27 samples of heather honey (24 Calluna vulgaris and 3 Erica Cinerea) produced in the UK and cor-responding subsamples spiked with high fructose sugar cane syrup and performed exploratory data analysis with PCA and classification with Random Forest which both showed a clear sepa-ration between pure and adulterated samples at medium (40%) and high (60%) adulteration levels and a 90% success at low adulteration levels (20%). The results of this study demonstrate the potential of SORS in combination with machine learning to be applied for the authentication of honey samples and the detection of exogenous sugars in the form of sugar syrups. A major advantage of the SORS technique is that it is a rapid, non-invasive method deployable in field with potential application at all stages of the supply chain.Item Open Access Data related to Using Bayesian Belief Networks to assess the influence of landscape connectivity on ecosystem service trade-offs and synergies in urban landscapes in the UK(Cranfield University, 2021-08-09 21:50) Dariush Karimi, JamesThis data comprises ten file figures reported in the paper Using Bayesian Belief Networks to assess the influence of landscape connectivity on ecosystem service trade-offs and synergies in urban landscapes in the UK. Fig1a.tif, Fig1b.tif and Fig1c.tif show the study area and land cover classification. Fig1Loc_a.jpg shows the location of the study area. Fig2.png shows the methodological framework to assess the influence of connectivity on ES trade-offs and synergies. Fig3.png shows an example of Bayesian Belief Network model structure for Nutrient retention and Carbon storage trade-offs. All models used a comparable structure. Fig4a.tif, Fig4b.tif and Fig4c.tif show the modelled cumulative current maps for Bedford, Luton and Milton Keynes at 2 m resolution. Fig5.png shows the heat maps that visually depict the conditional probabilities driving each model. The dataset Dataset_PC_maxBA.txt was used for Bayesian modelling to assess whether connectivity affects ES trade-offs and synergies. It contains 116 cases (observations) where each case represents a point observation of counts of bird abundance (within a radius of 200 m), a point observation of bird species richness, data point cumulative current mapped values, data point principal components raster mapped values and patch area metric values found at the same location. The dataset refers to cases (observations) across the combined built-up areas of Bedford, Luton and Milton Keynes. The data point principal component values represent nutrient retention and carbon storage trade-offs(PC 1), habitat quality and pollinator abundance trade-offs (PC 2) and potential soil erosion and water supply synergies(PC 3).Item Open Access Model Results for 'Street-scale dispersion modelling framework of road-traffic derived air pollution in Hanoi, Vietnam'(Cranfield University, 2023-06-30 11:56) Quang Ngo, KhoiADMS-Urban result for street-scale dispersion of air pollution derived from traffic activities in HanoiItem Open Access Data and photos supporting: 'Detection of internal defects in onion bulbs by means of single-point and scanning laser Doppler vibrometry'(Cranfield University, 2022-10-13 16:16) Landahl, Sandra; Terry, LeonA zip-file with all raw data collected with the vibrometer. asc-files with the collated vibrometer data as described in the paper. In addition, records of the mass of the onions and images of cut bulbs. The data are organised according to cultivar name as presented in Table 1 of the paper.Item Open Access Greensand Country Group Project - Deliverables 2(Cranfield University, 2021-04-30 09:46) Ahiable, Crystal; Mertens, Kaat; Singh, Meenakshi; Yuqing, Peng; See, Rui; Medori, ThomasThe content in this folder results from an MSc Group project undertaken by MSc students studying at Cranfield University who, in 2021, worked with Greensand Country Landscape Partnership to develop StoryMaps for public engagement. This zipped folder contains the following: 1. Multimedia database with supporting document 2. Webpages source codesItem Open Access Underlying data for PhD thesis titled 'Understanding landscape change in support of opium monitoring in Afghanistan'(Cranfield University, 2021-05-04 16:44) Hamer, AlexThe data used in the PhD thesis 'Understanding landscape change in support of opium monitoring in Afghanistan' are outlined in the PDF document.Item Open Access Data related to Bundling ecosystem services at a high resolution in the UK: Trade-offs and synergies in urban landscapes(Cranfield University, 2021-04-30 09:29) Dariush Karimi, JamesThis dataset comprises ten file figures reported in the paper Bundling ecosystem services at a high resolution in the UK: Trade-offs and synergies in urban landscapes. Fig1a.tif, Fig1b.tif and Fig1c.tif show the study area and land cover classification. Fig1Loc_a.jpg shows the location of the study area. Fig2a.tif, Fig2b.tif and Fig2c.tif show the spatial distribution of each ecosystem service bundle for the towns of Bedford, Luton and Milton Keynes Fig3a.png, Fig3b.png, Fig3c.png and Fig3d.png show the radar charts with the average values of each service in the bundle type. a) Potential soil erosion, b) Urban trees and woodland c) Urban grassland and d) Suburban grassland bundle types The dataset Data_test_pc_st.txt was used to analyse the trade-offs and synergies between ecosystem services and in the K-means clustering analysis. It contains the ecosystems services and the principal component values (for PC1 nutrient retention and carbon storage, PC 2 habitat quality and pollinator abundance and PC3 potential soil erosion and water supply).Item Open Access HECRAS 2D model files "A Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment"(Cranfield University, 2020-07-10 12:39) Muthusamy, ManoranjanThis HECRAS 2D model setup files and results were produced to compare fluvial and pluvial flood properties at Cockermouth during storm Desmend (2015). For more details please refer the following publication Muthusamy, Manoranjan, Monica Rivas Casado, Gloria Salmoral, Tracy Irvine, and Paul Leinster. 2019. €œA Remote Sensing Based Integrated Approach to Quantify the Impact of Fluvial and Pluvial Flooding in an Urban Catchment.€ Remote Sensing . doi:10.3390/rs11050577. Note: This folder contains DEM data downloaded from Environment Agency, UK. This metadata record is for Approval for Access product AfA458. Attribution statement: (c) Environment Agency copyright and/or database right 2019. All rights reserved.Item Open Access Data supporting 'Understanding the effects of Digital Elevation Model resolution in urban fluvial flood modelling'(Cranfield University, 2023-02-10 17:21) Muthusamy, Manoranjan; Rivas Casado, Monica; Leinster, Paul; Butler, DavidThis HERAS 2D model setup files and results were produced to study the effect of DEM resolution in fluvial flood modelling using Cockermouth storm Desmend flood (2015). -Link to the publication will be added once available- Note: This folder contains DEM data downloaded from Environment Agency, UK. This metadata record is for Approval for Access product AfA458. Attribution statement: (c) Environment Agency copyright and/or database right 2019. All rights reservedItem Open Access Non-destructive methods for mango ripening prediction: Visible and near[1]infrared spectroscopy (visNIRS) and laser Doppler vibrometry (LDV): Data(Cranfield University, 2024-03-12 09:10) del carmen Alamar Gavidia, Maria; O'Brien, Ciara; Falagan Sama, Natalia; Landahl, Sandra; Terry, Leon; Kourmpetli, SofiaThis data set includes reference measurements (firmness, colour [lightness, chroma and hue angle], total soluble solids [TSS], individual sugar concentrations [glucose, fructose, sucrose]), as well as visible and near-infrared spectroscopic (vis-NIRS) data (nm) and resonant frequency measured by laser Doppler vibroemetry (LDV) on 'Keitt' and 'Kent' mango fruit.Item Open Access Supporting data for 'An insight into the hormonal interplay regulating pigment changes and colour development in the peel of ‘Granny Smith’, ‘Opal®’ and ‘Royal Gala’ apples'(Cranfield University, 2024-03-28 09:47) Alamar Gavidia, Maria del carmen; Teixidó, Neus; Giné-Bordonaba, Jordi; Fernández Cancelo, PabloThis data set contains physiological (colour, size, total soluble content) and biochemical data (including plant hormones, indivicual sugars, anthocyanins) of three different apple cultivars. It also includes the gene expression of gene involved in the ethylene pathway.Item Open Access The influence of different abiotic conditions on the concentrations of free and conjugated (masked) deoxynivalenol and zearalenone in stored wheat: data(Cranfield University, 2024-02-09 16:10) Oluwakayode, Abimbola; Greer, brett; Meneely, Julie; He, Qiqi; Sulyok, Michael; Krska, Rudolf; Medina Vaya, AngelThis study aims to examine the impact of storage conditions of water activities 0.93, 0.95, 0.98 aw and temperature 20-25 °C on (a) the concentrations of DON and ZEN and their respective glucosides/conjugates and (b) the concentrations of emerging mycotoxins in both naturally contaminated and irradiated wheat grains inoculated with Fusarium graminearum to ascertain any potential increases in toxicity in the wheat grains.Item Open Access Farm-SAFE v3 - Comparing the financial benefits and costs of arable, forest, and agroforestry systems(Cranfield University, 2024-02-06 13:58) Graves, Anil; Burgess, Paul; Wiltshire, Katy; Giannitsopoulos, Michail; Herzog, Felix; Palma, JoaoAgroforestry systems integrate trees with livestock and/or arable crops on the same parcel of land. Compared to monoculture arable or grass systems, agroforestry systems can enhance soil conservation, carbon sequestration, species and habitat diversity, and provide additional sources of farm income. Farm-SAFE (Financial and Resource use Model for Simulating AgroForestry in Europe) is a spreadsheet-based bio-economic model which has been developed in Microsoft® Excel® to compare the financial benefits and costs of crop-only, tree-only, and agroforestry system over tree rotations of up to 60 years (Graves et al., 2024a). The results are presented in both graphical and tabular form in terms of a net present value and equivalent annual values. A description and user guide is also available (Graves et al., 2024b). Farm-SAFE requires input of tree and crop yields. One way to obtain crop and tree yields in tree-only, agroforestry, and crop-only systems is to use the Yield-SAFE model. Yield-SAFE is a spreadsheet-based biophysical model which has been developed to enable the prediction of the relationship between tree and crop yields over the rotation of the tree component. A copy of the Yield-SAFE model, together with a full description and user guide, is available here. The original Farm-SAFE model was developed with funding from the European Union through the Silvoarable Agroforestry For Europe project (contract number QLK5-CT-2001-00560). The process of creating a default publicly available version of the model has been enabled through the BioForce project funded by the UK Department for Energy Security and Net Zero. Graves, A.R., Burgess, P.J., Wiltshire, C., Giannitsopoulos, M., Herzog, F., Palma, J.H.N. (2024a). Farm-SAFE v3 model in Excel. Cranfield, Bedfordshire, UK: Cranfield University. Graves, A.R., Burgess, P.J., Wiltshire, C., Giannitsopoulos, M., Herzog, F., Palma, J.H.N. (2024b). Description and User Guide for Farm-SAFE v3. January 2024. Cranfield, Bedfordshire, UK: Cranfield University. 42 pp.Item Open Access Data - Immobilisation of anaerobic digestate supplied nitrogen into soil microbial biomass is dependent on lability of high organic carbon mat(Cranfield University, 2024-03-11 09:09) Van Midden, Christina; Harris, Jim; Shaw, Liz; Sizmur, Tom; Morgan, Hayden; Pawlett, MarkResearch data for a 150 day incubation study to determine the effects of mixing high organic carbon materials into anaerobic digestate on soil microbial immobilisation of digestate supplied nitrogen and on soil microbial communities. This dateset contains raw data on microbial biomass carbon and nitrogen, soil available nitrogen (ammonium-N and total oxides of nitrate-nitrite), total soil nitrogen, and PLFA biomarkers.Item Open Access Data supporting 'Unveiling Biomarkers for Postharvest Resilience: The Role of Canopy Position on Quality and Abscisic Acid Dynamics of 'Nadorcott' Clementine Mandarins'(Cranfield University, 2024-02-28 16:02) del carmen Alamar Gavidia, Maria; Magwaza, Lembe; Terry, LeonPhysiological (colour, respiration rate), and biochemical (individual sugars, organic acids, hormones) data of mandarin during postharevst cold storage