A5020635023- Rice Cultivation and Yield Improvement
- Climate change impacts on agriculture
- Remote Sensing in Agriculture
- Genetic Mapping and Diversity in Plants and Animals
- Greenhouse Technology and Climate Control
- Plant Water Relations and Carbon Dynamics
- Leaf Properties and Growth Measurement
- Genetics and Plant Breeding
- Crop Yield and Soil Fertility
- Wheat and Barley Genetics and Pathology
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Soil Geostatistics and Mapping
- Plant Stress Responses and Tolerance
- Pasture and Agricultural Systems
- Ecology and Vegetation Dynamics Studies
- Agronomic Practices and Intercropping Systems
- Agriculture Sustainability and Environmental Impact
- Probabilistic and Robust Engineering Design
- Irrigation Practices and Water Management
- Remote Sensing and LiDAR Applications
- Wastewater Treatment and Reuse
- Agriculture, Soil, Plant Science
- Bioenergy crop production and management
- Hydrology and Drought Analysis
University of Milan
2015-2024
Crop models are powerful tools to support breeding because of their capability explore genotype × environment×management interactions that can help design promising plant types under climate change. However, relationships between traits and model parameters often specific not necessarily direct, depending on how formulate morphological physiological features. This hinders application in breeding. We developed a novel trait-based multi-model ensemble approach improve the rice for future...
Abstract Climate change studies involve complex processes translating coarse climate projections in locally meaningful terms. We analysed the behaviour of weather generators while downscaling precipitation and air temperature data. With multiple indices alternative generators, we directly quantified uncertainty associated with using when site specific is performed. extracted influence on variability at local scale that could affect impact assessment. For that, first designed experiments...
Abstract Growing food crops to meet global demand and the search for more sustainable cropping systems are increasing need new cultivars in key production areas. This study presents identification of rice traits putatively producing largest yield benefits five areas that markedly differ terms environmental conditions Philippines, India, China, Japan Italy. The ecophysiological model WARM sensitivity analysis techniques were used evaluate phenotypic involved with light interception,...
Abstract Aim To evaluate the Pocket LAI ® smart app for estimating leaf area index ( ) in woody canopies. Location Northern Italy. Methods – a smartphone application estimates based on gap fraction derived from real‐time processing of images acquired at 57° below canopy was tested continuous forest stands, plantations, spotted shrub‐lands and tree‐lands. data hemispherical photography (images post‐processed with Can‐eye software) were taken as reference values. Plants clustered basis type...
Accurate nitrogen (N) management is crucial for the economic and environmental sustainability of cropping systems. Different methods have been developed to increase efficiency N fertilizations. However, their costs and/or low usability often prevented adoption in operational contexts. We a diagnostic system support topdressing fertilization based on use smart apps derive nutritional index (NNI; actual/critical plant content). The was tested paddy rice via dedicated field experiments, where...