A5045898247- Climate change impacts on agriculture
- Plant Water Relations and Carbon Dynamics
- Horticultural and Viticultural Research
- Rice Cultivation and Yield Improvement
- Remote Sensing in Agriculture
- Greenhouse Technology and Climate Control
- Genetic Mapping and Diversity in Plants and Animals
- Plant Pathogens and Fungal Diseases
- Crop Yield and Soil Fertility
- Wheat and Barley Genetics and Pathology
- Plant responses to elevated CO2
- Irrigation Practices and Water Management
- Leaf Properties and Growth Measurement
- Nuts composition and effects
- Soil Carbon and Nitrogen Dynamics
- Plant and Fungal Interactions Research
- Sustainable Agricultural Systems Analysis
- Genetics and Plant Breeding
- Plant Pathogens and Resistance
- Remote Sensing and LiDAR Applications
- Agriculture Sustainability and Environmental Impact
- Mycotoxins in Agriculture and Food
- Plant Disease Resistance and Genetics
- Agricultural Economics and Policy
- Smart Agriculture and AI
Research Centre for Cereal and Industrial Crops
2010-2024
Cereal Research Centre
2023
Consiglio per la ricerca in agricoltura e l’analisi dell’economia agraria
2017-2021
University of Milan
2010-2018
Mylan (South Africa)
2012
Joint Research Centre
2011
Agricultural Research Council of South Africa
2009
Abstract Predicting rice ( Oryza sativa ) productivity under future climates is important for global food security. Ecophysiological crop models in combination with climate model outputs are commonly used yield prediction, but uncertainties associated remain largely unquantified. We evaluated 13 against multi‐year experimental data at four sites diverse climatic conditions Asia and examined whether different modeling approaches on major physiological processes attribute to the of prediction...
The improvement and application of pest disease models to analyse predict yield losses including those due climate change is still a challenge for the scientific community. Applied modelling crop diseases pests has mostly targeted development support capabilities schedule scouting or pesticide applications. There need research both broaden scope evaluate models. Key questions not only involve assessment potential effects on known pathosystems, but also new pathogens which could alter (still...
The leaf area index (LAI) is a direct indicator of vegetation activity, and its relationship with the normalized difference (NDVI) has been investigated in many research studies. Remote sensing makes available NDVI data over large areas, researchers developed specific equations to derive LAI from NDVI, using empirical relationships grounded field collection. We conducted literature search “NDVI” AND “LAI” “crop” as string, focusing on period 2017–2021. reviewed convert into LAI, aiming at...
Abstract The CO 2 fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms this have been lacking. Here, we studied causes among 16 predicting rice response elevated [CO ] (E-[CO ]) by comparison free-air enrichment (FACE) and chamber experiments. model ensemble reproduced experimental results well. However, prediction E-[CO varied significantly models. variation was not random: that overestimated at...
Owing to the high interspecific biodiversity, halophytes have been regarded as a tool for understanding salt tolerance mechanisms in plants view of their adaptation climate change. The present study addressed physiological response salinity six halophyte species common Mediterranean area: Artemisia absinthium, vulgaris, Atriplex halimus, Chenopodium album, Salsola komarovii, and Sanguisorba minor. A 161-day pot experiment was conducted, watering with solutions at increasing NaCl...
The assimilation of Remote Sensing (RS) data into crop models improves the accuracy yield predictions by considering growth dynamics and their spatial heterogeneity due to different management practices environmental conditions. This study proposes a new method for performing sub-regional (Nomenclature territorial units statistics, NUTS-3 level) using RS time series models. primary objective was release procedure whereby agricultural landscape (i.e. agrophenotypes) observed from is used...
Vegetation phenology studies the periodic recurrence of plant life-cycle events and is essential for understanding ecosystem responses to environmental changes. Remote sensing has become a key tool monitoring phenological on large spatial temporal scales, primarily using vegetation indices like Normalized Difference Index (NDVI). However, current methods extracting metrics from NDVI data often fail capture their biological physiological significance, as they are predominantly based...
Frosts occurring after spring leaf onset significantly jeopardize tree growth, forest productivity, and ecosystem functions. As the climate warms, earlier has become increasingly common, exposing plants to heightened risks of frost damage. However, impacts frosts on later senescence phenology in deciduous forests remain largely unexplored. Using 20 years remotely sensed data, we demonstrate that, European beech forests, late events disrupt predictable patterns senescence, weakening carryover...
The plant pathogen Xylella fastidiosa (Xf) is a significant threat to various economically important tree cash crops. Although previously found only in the Americas, bacterium responsible for olive quick decline syndrome was detected Apulia, Italy, 2013. primary vector of Xf Italy spittlebug Philaenus spumarius. Several studies suggested that mobility has been critical factor influencing epidemic, along with insect population density and transmission rate. Since then, it spread approximately...
Climate change is one of our most urgent challenges and new communication strategies are needed to raise awareness inspire humans’ action. As a complex phenomenon, climate often insufficiently explained by traditional scientific methods like articles reports, which fail reach non-expert audiences.To address this gap, we developed SEAMAN (Synthesized Earth Monthly Anomalies), software translating data into nocturnal seascape, offers an immersive emotional way explore over time....
Crop phenology is very important in regular crop monitoring. Generally, monitored through field observation surveys or satellite data. The relationships between ground observations and remotely sensed derived phenological data can enable near-real-time monitoring over large areas, which has never been attempted on hazelnuts. In this study, we extracted metrics from MODIS Enhanced Vegetation Index (EVI) hazelnut production regions compared them with the spring (BBCH scale) orchards located...
The European Food Safety Authority (EFSA) conducts plant pest risk assessment (PRA) under the mandate of Commission, Parliament, and Member States. analysis climate suitability in EU is a key element PRA, it based on multiple layers analysis, spanning from evaluation presence suitable hosts area to for pest. We present ongoing EFSA SEED project (Spatially Explicit Environmental Data) support staff, experts contractors. The will release operational cloud-based, user-friendly, digital...
Maintaining agricultural productivity while reducing soil organic carbon (SOC) loss, greenhouse gas emissions and groundwater contamination is a major challenge for European agriculture. Organic farming practices are expected to improve health have increased their share of cropland, but effects on biogeochemical properties, biodiversity nitrogen dynamics mixed. This study uses the process-based ARMOSA crop model assess impact conventional yield, SOC stock, nitrate (NO3) leaching, nitrous...
No-tillage practices have a recognised beneficial impact on soil and water conservation while reducing erosion processes enhancing organic matter content. However, scientists continue to debate the effectiveness of no-tillage in carbon dioxide (CO2) emissions from farming. Following same line inquiry pursued by authors who reviewed conservative direct CO2 emissions, we applied meta-analytic machine learning techniques unravel effect under contrasting pedo-environmental conditions...
The plant pathogen Xylella fastidiosa (Xf) is a significant threat to various economically important tree cash crops. Although previously found only in the Americas, bacterium responsible for olive quick decline syndrome was detected Apulia, Italy, 2013. Since then, it has spread approximately 54,000 ha of trees region, causing dramatic concern throughout Mediterranean basin. As result, crucial comprehend its distribution and forecast potential diffusion. effect anthropogenic component...