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Research that advances infield and indoor plant phenotyping, provides insights from phenotypic analyses, and connects phenomics and other research domains.
Plant genetics --- Plant genetics. --- Plants --- Genetics --- crop sciences --- plant phenotyping --- plant breeding --- agriculture --- plant biology --- Phenomics. --- genetics. --- Phenomic --- Phenotype --- plant science --- Phenomics --- genetics
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information theoretic analysis --- multiplexing system --- HSI for biology --- point target detection --- digital elevation model --- neural networks --- oxygen saturation --- black polymers --- PZT --- blood detection --- multivariate analysis --- integral imaging --- hemispherical conical reflectance factor (HCRF) --- sprouting --- fluorescence --- multitemporal hyperspectral images --- plant phenotyping --- hyperspectral data mining and compression --- Raman --- medical imaging by HSI --- compressive detection --- stereo imaging --- image processing --- wound healing --- quality control --- lossless compression --- infrared hyperspectral imaging --- spectral tracking --- time series --- remote sensing --- diabetic foot ulcer --- classification --- Raman spectroscopy --- imaging --- fingerprints --- fusion --- wavelength selection --- Cramer–Rao lower bound --- three-dimensional imaging --- chemical imaging --- CS-MUSI --- total variation --- coastal dynamics --- forward observation model --- hyperspectral imaging --- fluorescence hyperspectral imaging --- age determination --- potatoes --- painting samples --- predictive coding --- hyperspectral --- video --- bi-directional reflectance distribution function (BRDF) --- optimal binary filters --- watercolours --- deep learning --- spectroscopy --- moving vehicle imaging --- sorting --- maximum likelihood --- multivariate data analysis --- interval partial least squares --- disease detection --- Raman hyperspectral imaging --- primordial leaf count --- machine learning --- spatial light modulators (SLM) --- Virginia Coast Reserve Long Term Ecological Research (VCR LTER) --- digital micromirror device (DMD) --- hyperspectral microscopy --- alternating direction method of multipliers --- statistical methods for HSI --- multiband image fusion --- digital light processor (DLP) --- linear mixture model --- retouching pigments --- liquid crystal --- principal component analysis --- Chemometrics --- compressive sensing --- PLSR --- Hyperspectral imaging
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
optical sensor --- spectral analysis --- response surface sampling --- sensor evaluation --- electromagnetic induction --- multivariate water quality parameters --- mandarin orange --- crop inspection platform --- SPA-MLR --- object tracking --- feature selection --- simultaneous measurement --- diseases --- genetic algorithms --- processing of sensed data --- electrochemical sensors --- thermal image --- ECa-directed soil sampling --- handheld --- recognition patterns --- salt concentration --- clover-grass --- bovine embedded hardware --- weed control --- soil --- field crops --- vineyard --- connected dominating set --- water depth sensors --- SS-OCT --- wheat --- striped stem-borer --- silage --- geostatistics --- detection --- NIR hyperspectral imaging --- electronic nose --- machine learning --- virtual organizations of agents --- packing density --- data validation and calibration --- dataset --- Wi-SUN --- temperature sensors --- geoinformatics --- gas sensor --- X-ray fluorescence spectroscopy --- vegetable oil --- photograph-grid method --- Vitis vinifera --- WSN distribution algorithms --- laser-induced breakdown spectroscopy --- irrigation --- quality assessment --- energy efficiency --- wireless sensor network (WSN) --- geo-information --- Fusarium --- texture features --- weeds --- discrimination --- big data --- soil moisture sensors --- meat spoilage --- land cover --- stereo imaging --- near infrared sensors --- biological sensing --- compound sensor --- pest management --- moisture --- plant localization --- heavy metal contamination --- artificial neural networks --- spectral pre-processing --- moisture content --- apparent soil electrical conductivity --- data fusion --- semi-arid regions --- smart irrigation --- back propagation model --- wireless sensor network --- energy balance --- light-beam --- fluorescent measurement --- agriculture --- precision agriculture --- deep learning --- spectroscopy --- hulled barely --- dielectric probe --- RPAS --- water supply network --- rice leaves --- mobile app --- gradient boosted machines --- hyperspectral camera --- one-class --- nitrogen --- LiDAR --- total carbon --- chemometrics analysis --- rice --- agricultural land --- on-line vis-NIR measurement --- CARS --- obstacle detection --- stratification --- neural networks --- regression estimator --- Kinect --- proximity sensing --- distributed systems --- pest --- noninvasive detection --- texture feature --- soil mapping --- classification --- soil salinity --- visible and near-infrared reflectance spectroscopy --- germination --- computer vision --- hyperspectral imaging --- diffusion --- dielectric dispersion --- UAS --- random forests --- case studies --- total nitrogen --- thermal imaging --- cameras --- dry matter composition --- near-infrared --- salt tolerance --- deep convolutional neural networks --- soil type classification --- water management --- preprocessing methods --- wireless sensor networks (WSN) --- remote sensing image classification --- precision plant protection --- radar --- spatial variability --- GF-1 satellite --- plant disease --- naked barley --- leaf area index --- CIE-Lab --- change of support --- radiative transfer model --- 3D reconstruction --- plant phenotyping --- vine --- near infrared --- vegetation indices --- remote sensing --- greenhouse --- time-series data --- scattering --- sensor --- crop area --- speckle --- spatial data --- grapevine breeding --- wide field view --- partial least squares-discriminant analysis --- spiking --- area frame sampling --- chromium content --- machine-learning --- RGB-D sensor --- pest scouting --- PLS --- Capsicum annuum --- spatial-temporal model --- drying temperature --- boron tolerance --- ambient intelligence --- laser wavelength --- fuzzy logic --- dynamic weight --- landslide --- management zones --- real-time processing --- event detection --- crop monitoring --- apple shelf-life --- rice field monitoring --- wireless sensor --- birth sensor --- proximal sensor
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.
optical sensor --- spectral analysis --- response surface sampling --- sensor evaluation --- electromagnetic induction --- multivariate water quality parameters --- mandarin orange --- crop inspection platform --- SPA-MLR --- object tracking --- feature selection --- simultaneous measurement --- diseases --- genetic algorithms --- processing of sensed data --- electrochemical sensors --- thermal image --- ECa-directed soil sampling --- handheld --- recognition patterns --- salt concentration --- clover-grass --- bovine embedded hardware --- weed control --- soil --- field crops --- vineyard --- connected dominating set --- water depth sensors --- SS-OCT --- wheat --- striped stem-borer --- silage --- geostatistics --- detection --- NIR hyperspectral imaging --- electronic nose --- machine learning --- virtual organizations of agents --- packing density --- data validation and calibration --- dataset --- Wi-SUN --- temperature sensors --- geoinformatics --- gas sensor --- X-ray fluorescence spectroscopy --- vegetable oil --- photograph-grid method --- Vitis vinifera --- WSN distribution algorithms --- laser-induced breakdown spectroscopy --- irrigation --- quality assessment --- energy efficiency --- wireless sensor network (WSN) --- geo-information --- Fusarium --- texture features --- weeds --- discrimination --- big data --- soil moisture sensors --- meat spoilage --- land cover --- stereo imaging --- near infrared sensors --- biological sensing --- compound sensor --- pest management --- moisture --- plant localization --- heavy metal contamination --- artificial neural networks --- spectral pre-processing --- moisture content --- apparent soil electrical conductivity --- data fusion --- semi-arid regions --- smart irrigation --- back propagation model --- wireless sensor network --- energy balance --- light-beam --- fluorescent measurement --- agriculture --- precision agriculture --- deep learning --- spectroscopy --- hulled barely --- dielectric probe --- RPAS --- water supply network --- rice leaves --- mobile app --- gradient boosted machines --- hyperspectral camera --- one-class --- nitrogen --- LiDAR --- total carbon --- chemometrics analysis --- rice --- agricultural land --- on-line vis-NIR measurement --- CARS --- obstacle detection --- stratification --- neural networks --- regression estimator --- Kinect --- proximity sensing --- distributed systems --- pest --- noninvasive detection --- texture feature --- soil mapping --- classification --- soil salinity --- visible and near-infrared reflectance spectroscopy --- germination --- computer vision --- hyperspectral imaging --- diffusion --- dielectric dispersion --- UAS --- random forests --- case studies --- total nitrogen --- thermal imaging --- cameras --- dry matter composition --- near-infrared --- salt tolerance --- deep convolutional neural networks --- soil type classification --- water management --- preprocessing methods --- wireless sensor networks (WSN) --- remote sensing image classification --- precision plant protection --- radar --- spatial variability --- GF-1 satellite --- plant disease --- naked barley --- leaf area index --- CIE-Lab --- change of support --- radiative transfer model --- 3D reconstruction --- plant phenotyping --- vine --- near infrared --- vegetation indices --- remote sensing --- greenhouse --- time-series data --- scattering --- sensor --- crop area --- speckle --- spatial data --- grapevine breeding --- wide field view --- partial least squares-discriminant analysis --- spiking --- area frame sampling --- chromium content --- machine-learning --- RGB-D sensor --- pest scouting --- PLS --- Capsicum annuum --- spatial-temporal model --- drying temperature --- boron tolerance --- ambient intelligence --- laser wavelength --- fuzzy logic --- dynamic weight --- landslide --- management zones --- real-time processing --- event detection --- crop monitoring --- apple shelf-life --- rice field monitoring --- wireless sensor --- birth sensor --- proximal sensor
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Over the past decade, interest in plant biostimulants has been on the rise, compelled by the growing interest of researchers, extension specialists, private industries, and farmers in integrating these products in the array of environmentally friendly tools to secure improved crop performance, nutrient efficiency, product quality, and yield stability. Plant biostimulants include diverse organic and inorganic substances, natural compounds, and/or beneficial microorganisms such as humic acids, protein hydrolysates, seaweed and plant extracts, silicon, endophytic fungi like mycorrhizal fungi, and plant growth-promoting rhizobacteria belonging to the genera Azospirillum, Azotobacter, and Rhizobium. Other substances (e.g., chitosan and other biopolymers and inorganic compounds) can have biostimulant properties, but their classification within the group of biostimulants is still under consideration. Plant biostimulants are usually applied to high-value crops, mainly greenhouse crops, fruit trees and vines, open-field crops, flowers, and ornamentals to sustainably increase yield and product quality. The global biostimulant market is currently estimated at about $2.0 billion and is expected to reach $3.0 billion by 2021 at an annual growth rate of 13%. A growing interest in plant biostimulants from industries and scientists was demonstrated by the high number of published peer-reviewed articles, conferences, workshops, and symposia in the past ten years. This book compiles several original research articles, technology reports, methods, opinions, perspectives, and invited reviews and mini reviews dissecting the biostimulatory action of these natural compounds and substances and beneficial microorganisms on crops grown under optimal and suboptimal growing conditions (e.g., salinity, drought, nutrient deficiency and toxicity, heavy metal contaminations, waterlogging, and adverse soil pH conditions). Also included are contributions dealing with the effect as well as the molecular and physiological mechanisms of plant biostimulants on nutrient efficiency, product quality, and modulation of the microbial population both quantitatively and qualitatively. In addition, identification and understanding of the optimal method, time, rate of application and phenological stage for improving plant performance and resilience to stress as well as the best combinations of plant species/cultivar × environment × management practices are also reported. We strongly believe that high standard reflected in this compilation on the principles and practices of plant biostimulants will foster knowledge transfer among scientific communities, industries, and agronomists, and will enable a better understanding of the mode of action and application procedures of biostimulants in different cropping systems.
Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- Crocus sativus L. --- biofertilization --- arbuscular mycorrhizal fungi --- antioxidant activity --- crocin --- picrocrocin --- polyphenols --- safranal --- Maize --- biostimulant --- root --- stress --- growth --- gene expression --- stem cuttings --- propagation --- root morphology traits --- indole-3-acetic acid (IAA) --- indole-3-butyric acid (IBA) --- gibberellins --- phenolic compounds --- nutrients --- nutraceutical potential --- soybean --- yield --- N organic fertilizer --- seaweed extract --- mycorrhizal inoculants --- phosphate-solubilizing microorganisms --- biofertilizers --- microorganism consortium --- biostimulants --- Crocus sativus --- Funneliformis mosseae --- glasshouse --- protected cultivation --- Rhizophagus intraradices --- substrate --- L-methionine --- L-tryptophan --- L-glycine --- lettuce --- nitrogen --- plant biostimulant --- environmental stress --- vegetables --- fruit quality --- plants biostimulants --- yielding --- Biostimulants --- Euglena gracilis --- algal polysaccharide --- β-glucan --- water stress --- tomato --- aeroponics --- Zea mays L --- lignohumate --- lignosulfonate --- biological activity --- nitrogen metabolism --- carbon metabolism --- proteins --- phenolics --- sugars --- Ascophyllum nodosum --- Solanum melongena --- heterostyly --- pollination efficiency --- soilless conditions --- abiotic stress --- alfalfa hydrolysate --- chitosan --- zinc --- ascorbic acid --- Fragaria x ananassa --- functional quality --- lycopene --- organic farming --- protein hydrolysate --- Solanum lycopersicum L. --- tropical plant extract --- fertilizer --- melatonin --- phytomelatonin --- plant protector --- plant stress --- Lactuca sativa L. --- legume-derived protein hydrolysate --- nitrate --- Septoria --- wheat --- Paraburkholderia phytofirmans --- thyme essential oil --- isotope --- phytoparasitic nematodes --- suppressiveness --- sustainable management --- anti-nutritional substances --- fat --- fibre --- morphotype --- protein --- corn --- imaging --- industrial crops --- maize --- next generation sequencing --- phenomics --- plant phenotyping --- row crops --- Bacillus subtilis --- carotenoids --- probiotics --- PGPR --- Mentha longifolia --- humic acid --- antioxidants --- arbuscular mycorrhizal symbiosis --- mycorrhizosphere --- AMF associated bacteria --- plant growth-promoting bacteria --- phosphate-solubilizing bacteria --- siderophore production --- soil enzymatic activity --- biological index fertility --- nitrogenase activity --- microelements fertilization (Ti, Si, B, Mo, Zn) --- seed coating --- cover crop --- vermicompost --- growth enhancement --- AM fungi --- PGPB --- water deficit --- common bean --- Glomus spp. --- organic acids --- pod quality --- seaweed extracts --- seed quality --- tocopherols --- total sugars --- bean --- amino acids --- phenols --- flavonoids --- microbial biostimulant --- non-microbial biostimulant --- Lactuca sativa L. var. longifolia --- mineral profile --- physiological mechanism --- photosynthesis --- biocontrol --- plant growth promotion --- soil inoculant --- Trichoderma --- Azotobacter --- Streptomyces --- deproteinized leaf juice --- fermentation --- lactic acid bacteria --- plant nutrition --- antioxidant capacity --- ornamental plants --- N fertilization --- nitrogen use efficiency --- leaf quality --- Spinacia oleracea L. --- sustainable agriculture --- Valerianella locusta L. --- isotopic labeling --- turfgrass --- humic acids --- leaf area index (LAI) --- specific leaf area (SLA) --- Soil Plant Analysis Development (SPAD) index --- tuber yield --- ultrasound-assisted water --- foliar spray --- Pterocladia capillacea --- bio-fertilizer --- growth parameters --- Jew’s Mallow --- CROPWAT model --- eco-friendly practices --- total ascorbic acid --- Mater-Bi® --- mineral composition --- SPAD index --- Bacillus thuringiensis --- Capsicum annuum --- microbiome --- strain-specific primer --- tracking --- sweet basil --- alfalfa brown juice --- biostimulation --- chlorophyll pigments --- histological changes --- humic substances --- protein hydrolysates --- silicon --- arbuscular mycorrhiza --- plant growth promoting rhizobacteria --- macroalgae --- microalgae --- abiotic stresses --- nutrient use efficiency --- physiological mechanisms
Choose an application
Over the past decade, interest in plant biostimulants has been on the rise, compelled by the growing interest of researchers, extension specialists, private industries, and farmers in integrating these products in the array of environmentally friendly tools to secure improved crop performance, nutrient efficiency, product quality, and yield stability. Plant biostimulants include diverse organic and inorganic substances, natural compounds, and/or beneficial microorganisms such as humic acids, protein hydrolysates, seaweed and plant extracts, silicon, endophytic fungi like mycorrhizal fungi, and plant growth-promoting rhizobacteria belonging to the genera Azospirillum, Azotobacter, and Rhizobium. Other substances (e.g., chitosan and other biopolymers and inorganic compounds) can have biostimulant properties, but their classification within the group of biostimulants is still under consideration. Plant biostimulants are usually applied to high-value crops, mainly greenhouse crops, fruit trees and vines, open-field crops, flowers, and ornamentals to sustainably increase yield and product quality. The global biostimulant market is currently estimated at about $2.0 billion and is expected to reach $3.0 billion by 2021 at an annual growth rate of 13%. A growing interest in plant biostimulants from industries and scientists was demonstrated by the high number of published peer-reviewed articles, conferences, workshops, and symposia in the past ten years. This book compiles several original research articles, technology reports, methods, opinions, perspectives, and invited reviews and mini reviews dissecting the biostimulatory action of these natural compounds and substances and beneficial microorganisms on crops grown under optimal and suboptimal growing conditions (e.g., salinity, drought, nutrient deficiency and toxicity, heavy metal contaminations, waterlogging, and adverse soil pH conditions). Also included are contributions dealing with the effect as well as the molecular and physiological mechanisms of plant biostimulants on nutrient efficiency, product quality, and modulation of the microbial population both quantitatively and qualitatively. In addition, identification and understanding of the optimal method, time, rate of application and phenological stage for improving plant performance and resilience to stress as well as the best combinations of plant species/cultivar × environment × management practices are also reported. We strongly believe that high standard reflected in this compilation on the principles and practices of plant biostimulants will foster knowledge transfer among scientific communities, industries, and agronomists, and will enable a better understanding of the mode of action and application procedures of biostimulants in different cropping systems.
Crocus sativus L. --- biofertilization --- arbuscular mycorrhizal fungi --- antioxidant activity --- crocin --- picrocrocin --- polyphenols --- safranal --- Maize --- biostimulant --- root --- stress --- growth --- gene expression --- stem cuttings --- propagation --- root morphology traits --- indole-3-acetic acid (IAA) --- indole-3-butyric acid (IBA) --- gibberellins --- phenolic compounds --- nutrients --- nutraceutical potential --- soybean --- yield --- N organic fertilizer --- seaweed extract --- mycorrhizal inoculants --- phosphate-solubilizing microorganisms --- biofertilizers --- microorganism consortium --- biostimulants --- Crocus sativus --- Funneliformis mosseae --- glasshouse --- protected cultivation --- Rhizophagus intraradices --- substrate --- L-methionine --- L-tryptophan --- L-glycine --- lettuce --- nitrogen --- plant biostimulant --- environmental stress --- vegetables --- fruit quality --- plants biostimulants --- yielding --- Biostimulants --- Euglena gracilis --- algal polysaccharide --- β-glucan --- water stress --- tomato --- aeroponics --- Zea mays L --- lignohumate --- lignosulfonate --- biological activity --- nitrogen metabolism --- carbon metabolism --- proteins --- phenolics --- sugars --- Ascophyllum nodosum --- Solanum melongena --- heterostyly --- pollination efficiency --- soilless conditions --- abiotic stress --- alfalfa hydrolysate --- chitosan --- zinc --- ascorbic acid --- Fragaria x ananassa --- functional quality --- lycopene --- organic farming --- protein hydrolysate --- Solanum lycopersicum L. --- tropical plant extract --- fertilizer --- melatonin --- phytomelatonin --- plant protector --- plant stress --- Lactuca sativa L. --- legume-derived protein hydrolysate --- nitrate --- Septoria --- wheat --- Paraburkholderia phytofirmans --- thyme essential oil --- isotope --- phytoparasitic nematodes --- suppressiveness --- sustainable management --- anti-nutritional substances --- fat --- fibre --- morphotype --- protein --- corn --- imaging --- industrial crops --- maize --- next generation sequencing --- phenomics --- plant phenotyping --- row crops --- Bacillus subtilis --- carotenoids --- probiotics --- PGPR --- Mentha longifolia --- humic acid --- antioxidants --- arbuscular mycorrhizal symbiosis --- mycorrhizosphere --- AMF associated bacteria --- plant growth-promoting bacteria --- phosphate-solubilizing bacteria --- siderophore production --- soil enzymatic activity --- biological index fertility --- nitrogenase activity --- microelements fertilization (Ti, Si, B, Mo, Zn) --- seed coating --- cover crop --- vermicompost --- growth enhancement --- AM fungi --- PGPB --- water deficit --- common bean --- Glomus spp. --- organic acids --- pod quality --- seaweed extracts --- seed quality --- tocopherols --- total sugars --- bean --- amino acids --- phenols --- flavonoids --- microbial biostimulant --- non-microbial biostimulant --- Lactuca sativa L. var. longifolia --- mineral profile --- physiological mechanism --- photosynthesis --- biocontrol --- plant growth promotion --- soil inoculant --- Trichoderma --- Azotobacter --- Streptomyces --- deproteinized leaf juice --- fermentation --- lactic acid bacteria --- plant nutrition --- antioxidant capacity --- ornamental plants --- N fertilization --- nitrogen use efficiency --- leaf quality --- Spinacia oleracea L. --- sustainable agriculture --- Valerianella locusta L. --- isotopic labeling --- turfgrass --- humic acids --- leaf area index (LAI) --- specific leaf area (SLA) --- Soil Plant Analysis Development (SPAD) index --- tuber yield --- ultrasound-assisted water --- foliar spray --- Pterocladia capillacea --- bio-fertilizer --- growth parameters --- Jew’s Mallow --- CROPWAT model --- eco-friendly practices --- total ascorbic acid --- Mater-Bi® --- mineral composition --- SPAD index --- Bacillus thuringiensis --- Capsicum annuum --- microbiome --- strain-specific primer --- tracking --- sweet basil --- alfalfa brown juice --- biostimulation --- chlorophyll pigments --- histological changes --- humic substances --- protein hydrolysates --- silicon --- arbuscular mycorrhiza --- plant growth promoting rhizobacteria --- macroalgae --- microalgae --- abiotic stresses --- nutrient use efficiency --- physiological mechanisms
Choose an application
Over the past decade, interest in plant biostimulants has been on the rise, compelled by the growing interest of researchers, extension specialists, private industries, and farmers in integrating these products in the array of environmentally friendly tools to secure improved crop performance, nutrient efficiency, product quality, and yield stability. Plant biostimulants include diverse organic and inorganic substances, natural compounds, and/or beneficial microorganisms such as humic acids, protein hydrolysates, seaweed and plant extracts, silicon, endophytic fungi like mycorrhizal fungi, and plant growth-promoting rhizobacteria belonging to the genera Azospirillum, Azotobacter, and Rhizobium. Other substances (e.g., chitosan and other biopolymers and inorganic compounds) can have biostimulant properties, but their classification within the group of biostimulants is still under consideration. Plant biostimulants are usually applied to high-value crops, mainly greenhouse crops, fruit trees and vines, open-field crops, flowers, and ornamentals to sustainably increase yield and product quality. The global biostimulant market is currently estimated at about $2.0 billion and is expected to reach $3.0 billion by 2021 at an annual growth rate of 13%. A growing interest in plant biostimulants from industries and scientists was demonstrated by the high number of published peer-reviewed articles, conferences, workshops, and symposia in the past ten years. This book compiles several original research articles, technology reports, methods, opinions, perspectives, and invited reviews and mini reviews dissecting the biostimulatory action of these natural compounds and substances and beneficial microorganisms on crops grown under optimal and suboptimal growing conditions (e.g., salinity, drought, nutrient deficiency and toxicity, heavy metal contaminations, waterlogging, and adverse soil pH conditions). Also included are contributions dealing with the effect as well as the molecular and physiological mechanisms of plant biostimulants on nutrient efficiency, product quality, and modulation of the microbial population both quantitatively and qualitatively. In addition, identification and understanding of the optimal method, time, rate of application and phenological stage for improving plant performance and resilience to stress as well as the best combinations of plant species/cultivar × environment × management practices are also reported. We strongly believe that high standard reflected in this compilation on the principles and practices of plant biostimulants will foster knowledge transfer among scientific communities, industries, and agronomists, and will enable a better understanding of the mode of action and application procedures of biostimulants in different cropping systems.
Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- Crocus sativus L. --- biofertilization --- arbuscular mycorrhizal fungi --- antioxidant activity --- crocin --- picrocrocin --- polyphenols --- safranal --- Maize --- biostimulant --- root --- stress --- growth --- gene expression --- stem cuttings --- propagation --- root morphology traits --- indole-3-acetic acid (IAA) --- indole-3-butyric acid (IBA) --- gibberellins --- phenolic compounds --- nutrients --- nutraceutical potential --- soybean --- yield --- N organic fertilizer --- seaweed extract --- mycorrhizal inoculants --- phosphate-solubilizing microorganisms --- biofertilizers --- microorganism consortium --- biostimulants --- Crocus sativus --- Funneliformis mosseae --- glasshouse --- protected cultivation --- Rhizophagus intraradices --- substrate --- L-methionine --- L-tryptophan --- L-glycine --- lettuce --- nitrogen --- plant biostimulant --- environmental stress --- vegetables --- fruit quality --- plants biostimulants --- yielding --- Biostimulants --- Euglena gracilis --- algal polysaccharide --- β-glucan --- water stress --- tomato --- aeroponics --- Zea mays L --- lignohumate --- lignosulfonate --- biological activity --- nitrogen metabolism --- carbon metabolism --- proteins --- phenolics --- sugars --- Ascophyllum nodosum --- Solanum melongena --- heterostyly --- pollination efficiency --- soilless conditions --- abiotic stress --- alfalfa hydrolysate --- chitosan --- zinc --- ascorbic acid --- Fragaria x ananassa --- functional quality --- lycopene --- organic farming --- protein hydrolysate --- Solanum lycopersicum L. --- tropical plant extract --- fertilizer --- melatonin --- phytomelatonin --- plant protector --- plant stress --- Lactuca sativa L. --- legume-derived protein hydrolysate --- nitrate --- Septoria --- wheat --- Paraburkholderia phytofirmans --- thyme essential oil --- isotope --- phytoparasitic nematodes --- suppressiveness --- sustainable management --- anti-nutritional substances --- fat --- fibre --- morphotype --- protein --- corn --- imaging --- industrial crops --- maize --- next generation sequencing --- phenomics --- plant phenotyping --- row crops --- Bacillus subtilis --- carotenoids --- probiotics --- PGPR --- Mentha longifolia --- humic acid --- antioxidants --- arbuscular mycorrhizal symbiosis --- mycorrhizosphere --- AMF associated bacteria --- plant growth-promoting bacteria --- phosphate-solubilizing bacteria --- siderophore production --- soil enzymatic activity --- biological index fertility --- nitrogenase activity --- microelements fertilization (Ti, Si, B, Mo, Zn) --- seed coating --- cover crop --- vermicompost --- growth enhancement --- AM fungi --- PGPB --- water deficit --- common bean --- Glomus spp. --- organic acids --- pod quality --- seaweed extracts --- seed quality --- tocopherols --- total sugars --- bean --- amino acids --- phenols --- flavonoids --- microbial biostimulant --- non-microbial biostimulant --- Lactuca sativa L. var. longifolia --- mineral profile --- physiological mechanism --- photosynthesis --- biocontrol --- plant growth promotion --- soil inoculant --- Trichoderma --- Azotobacter --- Streptomyces --- deproteinized leaf juice --- fermentation --- lactic acid bacteria --- plant nutrition --- antioxidant capacity --- ornamental plants --- N fertilization --- nitrogen use efficiency --- leaf quality --- Spinacia oleracea L. --- sustainable agriculture --- Valerianella locusta L. --- isotopic labeling --- turfgrass --- humic acids --- leaf area index (LAI) --- specific leaf area (SLA) --- Soil Plant Analysis Development (SPAD) index --- tuber yield --- ultrasound-assisted water --- foliar spray --- Pterocladia capillacea --- bio-fertilizer --- growth parameters --- Jew’s Mallow --- CROPWAT model --- eco-friendly practices --- total ascorbic acid --- Mater-Bi® --- mineral composition --- SPAD index --- Bacillus thuringiensis --- Capsicum annuum --- microbiome --- strain-specific primer --- tracking --- sweet basil --- alfalfa brown juice --- biostimulation --- chlorophyll pigments --- histological changes --- humic substances --- protein hydrolysates --- silicon --- arbuscular mycorrhiza --- plant growth promoting rhizobacteria --- macroalgae --- microalgae --- abiotic stresses --- nutrient use efficiency --- physiological mechanisms --- Crocus sativus L. --- biofertilization --- arbuscular mycorrhizal fungi --- antioxidant activity --- crocin --- picrocrocin --- polyphenols --- safranal --- Maize --- biostimulant --- root --- stress --- growth --- gene expression --- stem cuttings --- propagation --- root morphology traits --- indole-3-acetic acid (IAA) --- indole-3-butyric acid (IBA) --- gibberellins --- phenolic compounds --- nutrients --- nutraceutical potential --- soybean --- yield --- N organic fertilizer --- seaweed extract --- mycorrhizal inoculants --- phosphate-solubilizing microorganisms --- biofertilizers --- microorganism consortium --- biostimulants --- Crocus sativus --- Funneliformis mosseae --- glasshouse --- protected cultivation --- Rhizophagus intraradices --- substrate --- L-methionine --- L-tryptophan --- L-glycine --- lettuce --- nitrogen --- plant biostimulant --- environmental stress --- vegetables --- fruit quality --- plants biostimulants --- yielding --- Biostimulants --- Euglena gracilis --- algal polysaccharide --- β-glucan --- water stress --- tomato --- aeroponics --- Zea mays L --- lignohumate --- lignosulfonate --- biological activity --- nitrogen metabolism --- carbon metabolism --- proteins --- phenolics --- sugars --- Ascophyllum nodosum --- Solanum melongena --- heterostyly --- pollination efficiency --- soilless conditions --- abiotic stress --- alfalfa hydrolysate --- chitosan --- zinc --- ascorbic acid --- Fragaria x ananassa --- functional quality --- lycopene --- organic farming --- protein hydrolysate --- Solanum lycopersicum L. --- tropical plant extract --- fertilizer --- melatonin --- phytomelatonin --- plant protector --- plant stress --- Lactuca sativa L. --- legume-derived protein hydrolysate --- nitrate --- Septoria --- wheat --- Paraburkholderia phytofirmans --- thyme essential oil --- isotope --- phytoparasitic nematodes --- suppressiveness --- sustainable management --- anti-nutritional substances --- fat --- fibre --- morphotype --- protein --- corn --- imaging --- industrial crops --- maize --- next generation sequencing --- phenomics --- plant phenotyping --- row crops --- Bacillus subtilis --- carotenoids --- probiotics --- PGPR --- Mentha longifolia --- humic acid --- antioxidants --- arbuscular mycorrhizal symbiosis --- mycorrhizosphere --- AMF associated bacteria --- plant growth-promoting bacteria --- phosphate-solubilizing bacteria --- siderophore production --- soil enzymatic activity --- biological index fertility --- nitrogenase activity --- microelements fertilization (Ti, Si, B, Mo, Zn) --- seed coating --- cover crop --- vermicompost --- growth enhancement --- AM fungi --- PGPB --- water deficit --- common bean --- Glomus spp. --- organic acids --- pod quality --- seaweed extracts --- seed quality --- tocopherols --- total sugars --- bean --- amino acids --- phenols --- flavonoids --- microbial biostimulant --- non-microbial biostimulant --- Lactuca sativa L. var. longifolia --- mineral profile --- physiological mechanism --- photosynthesis --- biocontrol --- plant growth promotion --- soil inoculant --- Trichoderma --- Azotobacter --- Streptomyces --- deproteinized leaf juice --- fermentation --- lactic acid bacteria --- plant nutrition --- antioxidant capacity --- ornamental plants --- N fertilization --- nitrogen use efficiency --- leaf quality --- Spinacia oleracea L. --- sustainable agriculture --- Valerianella locusta L. --- isotopic labeling --- turfgrass --- humic acids --- leaf area index (LAI) --- specific leaf area (SLA) --- Soil Plant Analysis Development (SPAD) index --- tuber yield --- ultrasound-assisted water --- foliar spray --- Pterocladia capillacea --- bio-fertilizer --- growth parameters --- Jew’s Mallow --- CROPWAT model --- eco-friendly practices --- total ascorbic acid --- Mater-Bi® --- mineral composition --- SPAD index --- Bacillus thuringiensis --- Capsicum annuum --- microbiome --- strain-specific primer --- tracking --- sweet basil --- alfalfa brown juice --- biostimulation --- chlorophyll pigments --- histological changes --- humic substances --- protein hydrolysates --- silicon --- arbuscular mycorrhiza --- plant growth promoting rhizobacteria --- macroalgae --- microalgae --- abiotic stresses --- nutrient use efficiency --- physiological mechanisms
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