A5017971523- Plant and soil sciences
- Plant Water Relations and Carbon Dynamics
- Soil Moisture and Remote Sensing
- Climate change impacts on agriculture
- Climate variability and models
- Environmental and Ecological Studies
- Crop Yield and Soil Fertility
- Precipitation Measurement and Analysis
- Hydrology and Drought Analysis
- Atmospheric and Environmental Gas Dynamics
- Soil and Unsaturated Flow
- Climate change and permafrost
- Irrigation Practices and Water Management
- Genetics and Plant Breeding
- Hydrology and Watershed Management Studies
- Agricultural and Food Production Studies
- Plant responses to elevated CO2
- Soybean genetics and cultivation
- Water Resource Management and Quality
- Soil Science and Environmental Management
- Latin American rural development
- Historical and socio-economic studies of Spain and related regions
- Ocean Acidification Effects and Responses
- Sustainable Agricultural Systems Analysis
- Agroforestry and silvopastoral systems
University of Buenos Aires
2014-2025
Agricultural Plant Physiology and Ecology Research Institute
2025
Consejo Nacional de Investigaciones Científicas y Técnicas
2025
Austral University of Chile
2021
ABSTRACT Changes in several temperature‐based agroclimatic indices the central‐eastern of Argentina, most them located within Pampas region were analysed for 39 meteorological stations. Trends first (FFD), last (LFD) and number (NFD) frost days, period (FP), start (SGS), end (EGS) length (LGS) growing season, degree days (GDD), diurnal temperature range (DTR), chilling hours lowest annual minimum computed two periods, 1940–2007 1975–2007. The largest changes observed whole mostly indicative...
Abstract This article presents an analysis of the response annual yield rainfed maize crops in Argentine Pampas Region to five drought indices (standardized precipitation index [SPI], standardized soil moisture [SSMI], evapotranspiration deficit [SEDI], precipitation‐evapotranspiration [SPEI], and actual [SPET]) at different time scales (from 1 12 months). The idea this work was find that best correspond interannual variability use them monitoring agricultural droughts. For purpose, we...
Abstract While numerous wheat phenology prediction models are available, most of them constrained to using variety-dependent coefficients. The overarching objective this study was calibrate a gene-based model predict heading date that allows breeders select specific gene combinations would head within the optimal window for given environment independently varietal genetic background. A dataset with total 49 Argentine cultivars and two recombinant inbred lines chosen cover wide range allelic...
<title>Abstract</title> Understanding how climate variability influences corn yield is essential for improving agricultural forecasting and resilience strategies. This study examines the role of four major indices—El Niño Southern Oscillation (ENSO) index related ONI, IOD, AAO TSA—on across Argentina's diverse agro-ecological regions (22° to 39° S latitude). Using historical rainfed data at county level monthly records (1994–2024), we assessed temporal spatial relationships between these...
The Pampas region is located in the central-east part of Argentina, and one most productive agricultural regions world under rainfed conditions.This study aims at examining how different Land Surface Models (LSMs) satellite estimations reproduce daily surface root zone soil moisture variability over 8 in-situ observation sites. ability LSMs to detect dry wet events also evaluated.The ESA CCI (European Space Agency Climate Change Initiative, hereafter ESA-SM) show general a good performance...
Abstract Abstract. Accurate prediction of phenology is the most critical aspect for development models aimed at estimating seed yield, particularly in species that exhibit variable sensitivity to environmental factors throughout cycle and among genotypes. With this purpose, we evaluated 34 soybean varieties field experiments located Argentina, Uruguay Paraguay. Experiments covered a broad range maturity group (MG)s (2.2–6.8), sowing dates (SDs) (from spring summer) latitude (24.9–35.6 °S),...
Abstract Soil moisture is an essential variable for both the agricultural production and functioning of natural ecosystems, as well one main variables regulating climate system. Like precipitation, soil has a marked annual cycle that depends mainly on behaviour precipitation evapotranspiration. In this study, we developed methodology allows describing characterizing in Argentina. For purpose, estimated at 121 sites Argentina by means simple hydrological balance (the BHOA, acronym its name...
A multisensor method for the prediction of drought-induced agricultural impact is put forth in this letter. The input data considered include MODIS NDVI and land surface temperature (LST), ESA-CCI Soil Moisture, CHIRPS rain data, which are processed at department level a large sparsely monitored cropland Argentina. As ground truth, we have used department-scale crop losses estimated by an annual census. In particular, period under consideration (2001–2019) includes five severe drought events...
El fenómeno de “El Niño - Oscilación del Sur” (ENOS) es uno los principales responsables la variabilidad climática inter-anual, con influencia sobrela región pampeana argentina. objetivo este trabajo fue analizar el impacto ENOS sobre las variaciones anuales producción maíz. La dividida en 10 zonas cuales rendimientos tienen una inter anual homogénea. Se utilizaron diferentes índices ENOS. Los resultados indicaron que, mayor parte región, desvíos son, general, positivos durante eventos Niño”...
Soil moisture plays a key role in hydrological processes ecosystems and regulates water energy exchanges between the surface atmosphere. Global coverage of soil (SSM) satellite estimates makes them fundamental source information, while validation these is usually based on situ measurements, ideally from networks that cover areas similar to data resolution. However, as we expose this study, both SSM sources face challenges over extremely flat regions with large variability. A homogenous...