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The book deals with mycotoxins, their presence in various types of food, and how to prevent their presence in food . In addition to well-known molecules, such as aflatoxins or fumonisins, some contributors have dealt with emerging mycotoxins (e.g., alternaria toxins, botryodiplodin). Readers of the book can also find a new approach to reducing aflatoxins and fumonisins in food. In conclusion, the book presents both new mycotoxins and new information on old mycotoxins.

Humanities --- Social interaction --- Atlantic salmon --- zebrafish --- liquid chromatography high-resolution mass spectrometry --- mycotoxins --- phytoestrogens --- plant-based feed --- rice --- sterigmatocystin --- STC --- deoxynivalenol --- DON --- growing season --- azoxystrobin --- fungicide --- Fumonisins --- Fusarium spp. --- food contamination --- health issues --- secondary metabolites --- Aflatoxins --- binding --- food safety --- biocontrol --- food discipline --- ergot alkaloids --- ergochromes --- secalonic acid --- cereals --- tetrahydroxanthones --- Claviceps --- aflatoxin --- mycotoxin --- black soldier fly --- BSFL --- Hermetia illucens --- S9 fraction --- cytochrome P450 --- metabolic conversion --- enzyme induction --- Alternaria mycotoxins --- combinatory effects --- combined toxicity --- co-occurrence --- bioactive compounds --- fungi --- phaseolinone --- LC/MS --- soybean --- charcoal rot disease --- root infection mechanism --- Fusarium species --- toxigenic profile --- mycotoxin migration --- sweet pepper --- fungal disease --- fumonisin --- human exposure --- maize products --- botryodiplodin --- root toxicity --- Macrophomina phaseolina --- hydroponic culture --- AMF1 --- infant formulae --- estimated daily intake --- carcinogenic risk index --- Monterrey (Mexico) --- T-2 toxin --- HT-2 toxin --- deoxynivalenol (DON) --- enniatin B (EnnB) --- size sorting --- unprocessed cereals --- n/a

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The book deals with mycotoxins, their presence in various types of food, and how to prevent their presence in food . In addition to well-known molecules, such as aflatoxins or fumonisins, some contributors have dealt with emerging mycotoxins (e.g., alternaria toxins, botryodiplodin). Readers of the book can also find a new approach to reducing aflatoxins and fumonisins in food. In conclusion, the book presents both new mycotoxins and new information on old mycotoxins.

Atlantic salmon --- zebrafish --- liquid chromatography high-resolution mass spectrometry --- mycotoxins --- phytoestrogens --- plant-based feed --- rice --- sterigmatocystin --- STC --- deoxynivalenol --- DON --- growing season --- azoxystrobin --- fungicide --- Fumonisins --- Fusarium spp. --- food contamination --- health issues --- secondary metabolites --- Aflatoxins --- binding --- food safety --- biocontrol --- food discipline --- ergot alkaloids --- ergochromes --- secalonic acid --- cereals --- tetrahydroxanthones --- Claviceps --- aflatoxin --- mycotoxin --- black soldier fly --- BSFL --- Hermetia illucens --- S9 fraction --- cytochrome P450 --- metabolic conversion --- enzyme induction --- Alternaria mycotoxins --- combinatory effects --- combined toxicity --- co-occurrence --- bioactive compounds --- fungi --- phaseolinone --- LC/MS --- soybean --- charcoal rot disease --- root infection mechanism --- Fusarium species --- toxigenic profile --- mycotoxin migration --- sweet pepper --- fungal disease --- fumonisin --- human exposure --- maize products --- botryodiplodin --- root toxicity --- Macrophomina phaseolina --- hydroponic culture --- AMF1 --- infant formulae --- estimated daily intake --- carcinogenic risk index --- Monterrey (Mexico) --- T-2 toxin --- HT-2 toxin --- deoxynivalenol (DON) --- enniatin B (EnnB) --- size sorting --- unprocessed cereals --- n/a

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Plants, including vegetables, are an essential element of the human diet, considering their dense nutritional content and bioactive content that could assist in boosting nutritional quality and food security. Plants are exhibiting a colossal rebound in the context of healthier lifestyles, especially as functional foods empowered with bioactive phytochemicals; they synthesize uncountable “ecochemicals” via secondary metabolism, which command medical and socioeconomic significance. Among these secondary metabolites, phenolic compounds are of prime interest and are largely present in medicinal plants, herbs, vegetables, and flowers. These metabolites are at the helm of the bitterness, color, and scent of plants, and are correlated to the beneficial health qualities expressed by the antioxidant capacity. The accretion of these health-promoting phytochemicals depends chiefly on the genetic material and the maturity stage at harvest, notwithstanding the main role that is played by preharvest factors, i.e., eustress, fertilization, irrigation, light, biostimulants, biofortification, and other agronomic practices. This Special Issue is a collection of 11 original research articles addressing the quality of seeds, microgreens, leafy vegetables, herbs, flowers, berries, fruits, and byproducts. Mainly preharvest factors were assessed regarding their effect on the qualitative aspects of the aforementioned plants.

Research & information: general --- Biology, life sciences --- chromium --- ethnopharmacology --- flavonoids --- glucose-lowering activity --- HPLC --- natural antioxidants --- polyphenol --- air humidity (RH) --- Lactuca sativa L. var. capitata --- controlled environment agriculture (CEA) --- bioactive compounds --- leaf gas exchange --- minerals profile --- genetic material --- protected horticulture --- crop sensor --- functional components --- reflectance spectroscopy --- Apiaceae --- seeds --- antioxidants --- potassium --- total dissolved solids --- protein --- growing season --- Cichorium endivia L. var. crispum Hegi --- yield --- sugars --- mineral profile --- iodine concentration --- functional compounds --- space-stored seeds --- Solanum lycopersicum L. --- weightlessness --- cosmic radiation --- macronutrients --- Spinacia oleracea L. --- carotenoids --- nitrates --- phenolic acids --- UHPLC-HRMS --- chlorophylls --- vitamin C --- trans-resveratrol --- esters --- terpenols --- glycosidic precursors --- harvest time --- Vitis vinifera --- tomato and carrot by-products --- freezing and drying impact --- antioxidant capacity --- polyphenolics --- vitamin E --- greenhouse clear film --- greenhouse diffuse-light film --- spinach yield --- nitrate content --- antioxidant activity --- ascorbic acid --- floating raft system --- biostimulant --- root application --- anthocyanins --- phenols --- reduced sugars --- carbohydrates --- minerals --- pigments --- chromium --- ethnopharmacology --- flavonoids --- glucose-lowering activity --- HPLC --- natural antioxidants --- polyphenol --- air humidity (RH) --- Lactuca sativa L. var. capitata --- controlled environment agriculture (CEA) --- bioactive compounds --- leaf gas exchange --- minerals profile --- genetic material --- protected horticulture --- crop sensor --- functional components --- reflectance spectroscopy --- Apiaceae --- seeds --- antioxidants --- potassium --- total dissolved solids --- protein --- growing season --- Cichorium endivia L. var. crispum Hegi --- yield --- sugars --- mineral profile --- iodine concentration --- functional compounds --- space-stored seeds --- Solanum lycopersicum L. --- weightlessness --- cosmic radiation --- macronutrients --- Spinacia oleracea L. --- carotenoids --- nitrates --- phenolic acids --- UHPLC-HRMS --- chlorophylls --- vitamin C --- trans-resveratrol --- esters --- terpenols --- glycosidic precursors --- harvest time --- Vitis vinifera --- tomato and carrot by-products --- freezing and drying impact --- antioxidant capacity --- polyphenolics --- vitamin E --- greenhouse clear film --- greenhouse diffuse-light film --- spinach yield --- nitrate content --- antioxidant activity --- ascorbic acid --- floating raft system --- biostimulant --- root application --- anthocyanins --- phenols --- reduced sugars --- carbohydrates --- minerals --- pigments

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Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.

gross primary production (GPP) --- interference filter --- Visible Infrared Imaging Radiometer Suite (VIIRS) --- cost-efficient --- precipitation --- topographic effects --- land surface temperature --- Land surface emissivity --- scale effects --- spatial-temporal variations --- statistics methods --- inter-annual variation --- spatial representativeness --- FY-3C/MERSI --- sunphotometer --- PROSPECT --- passive microwave --- flux measurements --- urban scale --- vegetation dust-retention --- multiple ecological factors --- leaf age --- standard error of the mean --- LUT method --- spectra --- SURFRAD --- Land surface temperature --- aboveground biomass --- uncertainty --- land surface variables --- copper --- Northeast China --- forest disturbance --- end of growing season (EOS) --- random forest model --- probability density function --- downward shortwave radiation --- machine learning --- MODIS products --- composite slope --- daily average value --- canopy reflectance --- spatiotemporal representative --- light use efficiency --- hybrid method --- disturbance index --- quantitative remote sensing inversion --- SCOPE --- GPP --- South China’s --- anisotropic reflectance --- vertical structure --- snow cover --- land cover change --- start of growing season (SOS) --- MS–PT algorithm --- aerosol --- pixel unmixing --- HiWATER --- algorithmic assessment --- surface radiation budget --- latitudinal pattern --- ICESat GLAS --- vegetation phenology --- SIF --- metric comparison --- Antarctica --- spatial heterogeneity --- comprehensive field experiment --- reflectance model --- sinusoidal method --- NDVI --- BRDF --- cloud fraction --- NPP --- VPM --- China --- dense forest --- vegetation remote sensing --- Cunninghamia --- high resolution --- geometric-optical model --- phenology --- LiDAR --- ZY-3 MUX --- point cloud --- multi-scale validation --- Fraunhofer Line Discrimination (FLD) --- rice --- fractional vegetation cover (FVC) --- interpolation --- high-resolution freeze/thaw --- drought --- Synthetic Aperture Radar (SAR) --- controlling factors --- sampling design --- downscaling --- n/a --- Chinese fir --- MRT-based model --- RADARSAT-2 --- northern China --- leaf area density --- potential evapotranspiration --- black-sky albedo (BSA) --- decision tree --- CMA --- fluorescence quantum efficiency in dark-adapted conditions (FQE) --- surface solar irradiance --- validation --- geographical detector model --- vertical vegetation stratification --- spatiotemporal distribution and variation --- gap fraction --- phenological parameters --- spatio-temporal --- albedometer --- variability --- GLASS --- gross primary productivity (GPP) --- EVI2 --- machine learning algorithms --- latent heat --- GLASS LAI time series --- boreal forest --- leaf --- maize --- heterogeneity --- temperature profiles --- crop-growing regions --- satellite observations --- rugged terrain --- species richness --- voxel --- LAI --- TMI data --- GF-1 WFV --- spectral --- HJ-1 CCD --- leaf area index --- evapotranspiration --- land-surface temperature products (LSTs) --- SPI --- AVHRR --- Tibetan Plateau --- snow-free albedo --- PROSPECT-5B+SAILH (PROSAIL) model --- MCD43A3 C6 --- 3D reconstruction --- photoelectric detector --- multi-data set --- BEPS --- aerosol retrieval --- plant functional type --- multisource data fusion --- remote sensing --- leaf spectral properties --- solo slope --- land surface albedo --- longwave upwelling radiation (LWUP) --- terrestrial LiDAR --- AMSR2 --- geometric optical radiative transfer (GORT) model --- MuSyQ-GPP algorithm --- tree canopy --- FY-3C/MWRI --- meteorological factors --- solar-induced chlorophyll fluorescence --- metric integration --- observations --- polar orbiting satellite --- arid/semiarid --- homogeneous and pure pixel filter --- thermal radiation directionality --- biodiversity --- gradient boosting regression tree --- forest canopy height --- Landsat --- subpixel information --- MODIS --- humidity profiles --- NIR --- geostationary satellite --- South China's --- MS-PT algorithm

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Quantitative land remote sensing has recently advanced dramatically, particularly in China. It has been largely driven by vast governmental investment, the availability of a huge amount of Chinese satellite data, geospatial information requirements for addressing pressing environmental issues and other societal benefits. Many individuals have also fostered and made great contributions to its development, and Prof. Xiaowen Li was one of these leading figures. This book is published in memory of Prof. Li. The papers collected in this book cover topics from surface reflectance simulation, inversion algorithm and estimation of variables, to applications in optical, thermal, Lidar and microwave remote sensing. The wide range of variables include directional reflectance, chlorophyll fluorescence, aerosol optical depth, incident solar radiation, albedo, surface temperature, upward longwave radiation, leaf area index, fractional vegetation cover, forest biomass, precipitation, evapotranspiration, freeze/thaw snow cover, vegetation productivity, phenology and biodiversity indicators. They clearly reflect the current level of research in this area. This book constitutes an excellent reference suitable for upper-level undergraduate students, graduate students and professionals in remote sensing.

gross primary production (GPP) --- interference filter --- Visible Infrared Imaging Radiometer Suite (VIIRS) --- cost-efficient --- precipitation --- topographic effects --- land surface temperature --- Land surface emissivity --- scale effects --- spatial-temporal variations --- statistics methods --- inter-annual variation --- spatial representativeness --- FY-3C/MERSI --- sunphotometer --- PROSPECT --- passive microwave --- flux measurements --- urban scale --- vegetation dust-retention --- multiple ecological factors --- leaf age --- standard error of the mean --- LUT method --- spectra --- SURFRAD --- Land surface temperature --- aboveground biomass --- uncertainty --- land surface variables --- copper --- Northeast China --- forest disturbance --- end of growing season (EOS) --- random forest model --- probability density function --- downward shortwave radiation --- machine learning --- MODIS products --- composite slope --- daily average value --- canopy reflectance --- spatiotemporal representative --- light use efficiency --- hybrid method --- disturbance index --- quantitative remote sensing inversion --- SCOPE --- GPP --- South China’s --- anisotropic reflectance --- vertical structure --- snow cover --- land cover change --- start of growing season (SOS) --- MS–PT algorithm --- aerosol --- pixel unmixing --- HiWATER --- algorithmic assessment --- surface radiation budget --- latitudinal pattern --- ICESat GLAS --- vegetation phenology --- SIF --- metric comparison --- Antarctica --- spatial heterogeneity --- comprehensive field experiment --- reflectance model --- sinusoidal method --- NDVI --- BRDF --- cloud fraction --- NPP --- VPM --- China --- dense forest --- vegetation remote sensing --- Cunninghamia --- high resolution --- geometric-optical model --- phenology --- LiDAR --- ZY-3 MUX --- point cloud --- multi-scale validation --- Fraunhofer Line Discrimination (FLD) --- rice --- fractional vegetation cover (FVC) --- interpolation --- high-resolution freeze/thaw --- drought --- Synthetic Aperture Radar (SAR) --- controlling factors --- sampling design --- downscaling --- n/a --- Chinese fir --- MRT-based model --- RADARSAT-2 --- northern China --- leaf area density --- potential evapotranspiration --- black-sky albedo (BSA) --- decision tree --- CMA --- fluorescence quantum efficiency in dark-adapted conditions (FQE) --- surface solar irradiance --- validation --- geographical detector model --- vertical vegetation stratification --- spatiotemporal distribution and variation --- gap fraction --- phenological parameters --- spatio-temporal --- albedometer --- variability --- GLASS --- gross primary productivity (GPP) --- EVI2 --- machine learning algorithms --- latent heat --- GLASS LAI time series --- boreal forest --- leaf --- maize --- heterogeneity --- temperature profiles --- crop-growing regions --- satellite observations --- rugged terrain --- species richness --- voxel --- LAI --- TMI data --- GF-1 WFV --- spectral --- HJ-1 CCD --- leaf area index --- evapotranspiration --- land-surface temperature products (LSTs) --- SPI --- AVHRR --- Tibetan Plateau --- snow-free albedo --- PROSPECT-5B+SAILH (PROSAIL) model --- MCD43A3 C6 --- 3D reconstruction --- photoelectric detector --- multi-data set --- BEPS --- aerosol retrieval --- plant functional type --- multisource data fusion --- remote sensing --- leaf spectral properties --- solo slope --- land surface albedo --- longwave upwelling radiation (LWUP) --- terrestrial LiDAR --- AMSR2 --- geometric optical radiative transfer (GORT) model --- MuSyQ-GPP algorithm --- tree canopy --- FY-3C/MWRI --- meteorological factors --- solar-induced chlorophyll fluorescence --- metric integration --- observations --- polar orbiting satellite --- arid/semiarid --- homogeneous and pure pixel filter --- thermal radiation directionality --- biodiversity --- gradient boosting regression tree --- forest canopy height --- Landsat --- subpixel information --- MODIS --- humidity profiles --- NIR --- geostationary satellite --- South China's --- MS-PT algorithm