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Brix, Anders

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Environmental conditions and nutritional stress may greatly affect crop performance. Abiotic stresses such as temperature (cold, heat), water (drought, flooding), irradiance, salinity, nutrients, and heavy metals can strongly affect plant growth dynamics and the yield and quality of horticultural products. Such effects have become of greater importance during the course of global climate change. Different strategies and techniques can be used to detect, investigate, and mitigate the effects of environmental and nutritional stress. Horticultural crop management is moving towards digitized, precision management through wireless remote-control solutions, but data analysis, although a traditional approach, remains the basis of stress detection and crop management. This Special Issue summarizes the recent progress in agronomic management strategies to detect and reduce environmental and nutritional stress effects on the yield and quality of horticultural crops.

Research & information: general --- Capsicum annuum --- heat units --- plant population density --- hail damage --- baby corn --- non-leguminous cover crops --- chopping --- baby corn yield --- baby corn quality --- kharif season --- Thuja standishii × plicata --- container production --- nursery production --- volumetric water content --- vegetables --- water deficit --- climate change --- polyols --- minerals --- flavonoids --- carotenoids --- salinity --- evapotranspiration --- leaching fraction --- calcium --- cactus pear --- GA3 --- injection application --- spraying application --- lignification --- photosynthesis --- chlorophyll --- proline --- ion leakage --- susceptibility --- electrical conductivity --- greenhouse --- image processing --- nutrient stress --- remote sensing --- Bradyrhizobium --- temperature-dependent distribution --- nodule composition --- proliferation in soil --- infection --- French bean --- mangetout --- peas --- antioxidant --- ascorbic acid --- total phenolic content --- mineral composition --- Bradyrhizobium japonicum --- Bradyrhizobium elkanii --- temperature effects --- growth --- competitive infection --- biochemical constituents --- β-carotene --- vitamins --- micro-nutrients --- growing environments --- Brix --- TAcy --- nitrogen --- potassium --- compositional data --- cranberry yield parameters --- firmness --- local diagnosis --- redundancy analysis --- Capsicum annuum --- heat units --- plant population density --- hail damage --- baby corn --- non-leguminous cover crops --- chopping --- baby corn yield --- baby corn quality --- kharif season --- Thuja standishii × plicata --- container production --- nursery production --- volumetric water content --- vegetables --- water deficit --- climate change --- polyols --- minerals --- flavonoids --- carotenoids --- salinity --- evapotranspiration --- leaching fraction --- calcium --- cactus pear --- GA3 --- injection application --- spraying application --- lignification --- photosynthesis --- chlorophyll --- proline --- ion leakage --- susceptibility --- electrical conductivity --- greenhouse --- image processing --- nutrient stress --- remote sensing --- Bradyrhizobium --- temperature-dependent distribution --- nodule composition --- proliferation in soil --- infection --- French bean --- mangetout --- peas --- antioxidant --- ascorbic acid --- total phenolic content --- mineral composition --- Bradyrhizobium japonicum --- Bradyrhizobium elkanii --- temperature effects --- growth --- competitive infection --- biochemical constituents --- β-carotene --- vitamins --- micro-nutrients --- growing environments --- Brix --- TAcy --- nitrogen --- potassium --- compositional data --- cranberry yield parameters --- firmness --- local diagnosis --- redundancy analysis

Choose an application

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

Environmental conditions and nutritional stress may greatly affect crop performance. Abiotic stresses such as temperature (cold, heat), water (drought, flooding), irradiance, salinity, nutrients, and heavy metals can strongly affect plant growth dynamics and the yield and quality of horticultural products. Such effects have become of greater importance during the course of global climate change. Different strategies and techniques can be used to detect, investigate, and mitigate the effects of environmental and nutritional stress. Horticultural crop management is moving towards digitized, precision management through wireless remote-control solutions, but data analysis, although a traditional approach, remains the basis of stress detection and crop management. This Special Issue summarizes the recent progress in agronomic management strategies to detect and reduce environmental and nutritional stress effects on the yield and quality of horticultural crops.

Research & information: general --- Capsicum annuum --- heat units --- plant population density --- hail damage --- baby corn --- non-leguminous cover crops --- chopping --- baby corn yield --- baby corn quality --- kharif season --- Thuja standishii × plicata --- container production --- nursery production --- volumetric water content --- vegetables --- water deficit --- climate change --- polyols --- minerals --- flavonoids --- carotenoids --- salinity --- evapotranspiration --- leaching fraction --- calcium --- cactus pear --- GA3 --- injection application --- spraying application --- lignification --- photosynthesis --- chlorophyll --- proline --- ion leakage --- susceptibility --- electrical conductivity --- greenhouse --- image processing --- nutrient stress --- remote sensing --- Bradyrhizobium --- temperature-dependent distribution --- nodule composition --- proliferation in soil --- infection --- French bean --- mangetout --- peas --- antioxidant --- ascorbic acid --- total phenolic content --- mineral composition --- Bradyrhizobium japonicum --- Bradyrhizobium elkanii --- temperature effects --- growth --- competitive infection --- biochemical constituents --- β-carotene --- vitamins --- micro-nutrients --- growing environments --- Brix --- TAcy --- nitrogen --- potassium --- compositional data --- cranberry yield parameters --- firmness --- local diagnosis --- redundancy analysis --- n/a