Papers by Gabriel Vazquez Amabile
A fin de estudiar la dinamica y control de la napa freatica y el contenido de nitratos, en lotes ... more A fin de estudiar la dinamica y control de la napa freatica y el contenido de nitratos, en lotes agricolas del Oeste bonaerense, se analizaron registros de ocho anos de nivel freatico y muestras de agua extraidas durante dos anos. El modelo hidrologico DRAINMOD fue calibrado y validado en base a registros de freatimetros instalados en 12 lotes agricolas, ubicados en un radio de 100 km. Las curvas de retencion hidrica requeridas por el modelo fueron estimadas mediante funciones de pedotransferencia. Un segundo conjunto de freatimetros fue instalado en noviembre del 2011 para el muestreo mensual y analisis de la evolucion del contenido de nitratos bajo diferentes cultivos en posiciones de loma, media-loma y bajo, durante dos campanas agricolas. DRAINMOD fue evaluado para ser utilizado en la estimacion del impacto de cambios climaticos, uso de tierras y estructuras de control sobre la altura de la napa. En este aspecto, se analizaron estrategias de control del nivel freatico, combinand...
Hydrology, 2019
Due to the socioeconomical impact of water extremes in plain areas, there is a considerable deman... more Due to the socioeconomical impact of water extremes in plain areas, there is a considerable demand for suitable strategies aiding in the management of water resources and rainfed crops. Numerical models allow for the modelling of water extremes and their consequences in order to decide on management strategies. Moreover, the integration of hydrologic models with hydraulic models under continuous or event-based approaches would synergistically contribute to better forecasting of water extreme consequences under different scenarios. This study conducted at the Santa Catalina stream basin (Buenos Aires province, Argentina) focuses on the integration of numerical models to analyze the hydrological response of plain areas to water extremes under different scenarios involving the implementation of an eco-efficient infrastructure (i.e., the integration of a green infrastructure and hydraulic structures). The two models used for the integration were: the Soil and Water Assessment Tool (SWAT) and the CELDAS8 (CTSS8) hydrologic-hydraulic model. The former accounts for the processes related to the water balance (e.g., evapotranspiration, soil moisture, percolation, groundwater discharge and surface runoff), allowing for the analysis of water extremes for either dry or wet conditions. Complementarily, CTSS8 models the response of a basin to a rainfall event (e.g., runoff volume, peak flow and time to peak flow, flooded surface area). A 10-year data record (2003-2012) was analyzed to test different green infrastructure scenarios. SWAT was able to reproduce the waterflow in the basin with Nash Sutcliffe (NS) efficiency coefficients of 0.66 and 0.74 for the calibration and validation periods, respectively. The application of CTSS8 for a flood event with a return period of 10 years showed that the combination of a green infrastructure and hydraulic structures decreased the surface runoff by 28%, increased the soil moisture by 10% on an average daily scale, and reduced the impact of floods by 21% during rainfall events. The integration of continuous and event-based models for studying the impact of water extremes under different hypothetical scenarios represents a novel approach for evaluating potential basin management strategies aimed at improving the agricultural production in plain areas.
Scientific Reports, 2019
Adoption of no-till management on croplands has become a controversial approach for storing carbo... more Adoption of no-till management on croplands has become a controversial approach for storing carbon in soil due to conflicting findings. Yet, no-till is still promoted as a management practice to stabilize the global climate system from additional change due to anthropogenic greenhouse gas emissions, including the 4 per mille initiative promoted through the UN Framework Convention on Climate Change. We evaluated the body of literature surrounding this practice, and found that SOC storage can be higher under no-till management in some soil types and climatic conditions even with redistribution of SOC, and contribute to reducing net greenhouse gas emissions. However, uncertainties tend to be large, which may make this approach less attractive as a contributor to stabilize the climate system compared to other options. Consequently, no-till may be better viewed as a method for reducing soil erosion, adapting to climate change, and ensuring food security, while any increase in SOC storage is a co-benefit for society in terms of reducing greenhouse gas emissions.
Análisis De La Deforestación en El Sudeste De Santiago Del Estero Utilizando Imágenes Landsat
RESUMEN En el presente estudio se analizaron imágenes Landsat ETM y TM de un área del Sudeste de ... more RESUMEN En el presente estudio se analizaron imágenes Landsat ETM y TM de un área del Sudeste de Santiago del Estero adquiridas entre Febrero de 1998 y Febrero del 2007, en base a tres objetivos principales: identificar el periodo del año óptimo para obtener la mayor precisión en la clasificación de áreas con monte y áreas cultivadas; analizar la performance de distintos algoritmos de clasificación y determinar la evolución del desmonte en el área de estudio. ABSTRACT In this study, Landsat images of southeast Santiago del Estero acquired between February 1998 and February 2007 were classified based on ground truth of 20.000 hectares. The study objectives were three: to identify the optimum season to classify forest and croplands; to analyze the performance of several image classification algorithms and to determine the annual deforestation rate.
Evaluación del efecto de la fertilización con boro para híbridos de girasol en suelos Haplustoles énticos de Gral Pico, Partido de Maracó, provincia de La Pampa
EVALUATION OF SUNFLOWER RESPONSE TO B FERTILIZATION AN ENTIC HAPLUSTOLL OF GRAL PICO, PROVINCE OF... more EVALUATION OF SUNFLOWER RESPONSE TO B FERTILIZATION AN ENTIC HAPLUSTOLL OF GRAL PICO, PROVINCE OF LA PAMPA. Abstract: During season 99/00 three field trials were carried out on an Entic haplustol (A-AC-C) of Dorila, 30 km SE from Gral. Pico, in order to evaIuate the effect of B fertilization (0.21, 0.6 and 3.2 kg B/ha) on a High Oleic hybrid and two regular hybrids of sunflower, applied in V30. Initial B soil content (0-30 cm) ranged from 0.8 ta 1.0 ppm and soil water content was very good both in fallow and crop season. Results showed no significant differences (p>0.05) between treatments for all three hybrids.
Notas Conceptuales del Manejo por ambientes y el manejo sitio específico: experiencias de Fertilización Variable en suelos someros
La presentación fue centrada en aspectos conceptuales de la ambientación en lotes agrícolas a esc... more La presentación fue centrada en aspectos conceptuales de la ambientación en lotes agrícolas a escala "macro" siguiendo patrones de relieve y a escala "micro" analizando la factibilidad del uso de la fertilización variable. A escala macro se analizó la planificación de un establecimiento de 2300 has en la zona de Tandil (prov de Buenos Aires), asignando distintas rotaciones de cultivos con ambientaciones de potreros, y su impacto sobre el margen económico y la estabilidad del resultado entre años. A escala “micro”, se presentaron resultados de 3 años de ensayos de fertilización variable con nitrógeno, en suelos con profundidad variable, limitados por presencia de Tosca, en el sudeste de Buenos Aires. Dichos ensayos se concentraron en los cultivos de cebada y trigo y se presentan resultados de rendimiento en grano, margen económico y emisiones de gases de efecto invernaderos por unidad de superficie y tonelada de grano.
Evaluación de necesidades tecnológicas para la mitigación de emisiones de gases efecto invernadero
El presente trabajo constituye una síntesis del análisis de necesidades tecnológicas para la miti... more El presente trabajo constituye una síntesis del análisis de necesidades tecnológicas para la mitigación de gases efecto invernadero (GEI) en el sector agrícola y ganadero de la Argentina, con énfasis en las emisiones de óxido nitroso (N2O), realizado en el año 2012. Dicho estudio fue llevado a cabo mediante un acuerdo entre la Asociación Argentina de Consorcios Regionales de Experimentación Agrícola AACREA, el Proyecto de Naciones Unidas para el Medio Ambiente (PNUMA) y el Centro Risoe de la Universidad Tecnológica de Dinamarca (DTU), en el marco del proyecto de Evaluación de Necesidades Tecnológicas (ENT o TNA por sus siglas en ingles). El proyecto de ENT constituye una iniciativa global diseñada para apoyar a 45 países en la identificación e implementación de tecnologías para la mitigación y adaptación al cambio climático según la Convención Marco de Naciones Unidas para el Cambio Climatico (CMNUCC). Los objetivos principales del mencionado estudio fueron : (i) identificar y prior...
2013 Kansas City, Missouri, July 21 - July 24, 2013, 2013
Abstract. Variable fertilization rate is often difficult to prescribe under rainfed agriculture, ... more Abstract. Variable fertilization rate is often difficult to prescribe under rainfed agriculture, since it depends on soil limiting factors and year-to-year weather variations. Soil spatial variability is not easy to map when differences are due to textural changes or chemical properties that affects plant growing and, therefore, its potential yield. In southern Buenos Aires province, Argentina, the main limiting factor for cropping is soil depth, limited by a limestone layer. In that region, soil depth variation is very significant and may vary into the field, from 40 cm up to 1.2 m depth in short distances. Since soil depth determines the soil water storage capacity, most of the years, this factor explains the crop yield spatial variation within the field. However, crop yield spatial variability change from year to year depending on the rainfall amount and frequency. Crop simulation models, such as CERES-wheat are valuable tools to analyze year-to-year- yield variability for different soils and fertilization rates. In the last years, GPS technology made possible to map soil depth at relative low cost, providing valuable information at field scale, to decide crop rotation and crop management practices according to the average soil depth and its variability. This kind of maps allows identifying areas of high and low potential yields, which might require higher and lower amounts of nutrients. In this study, the combination of soil-depth maps with crop simulation models is evaluated as a tool to be used by farmers and advisors to design site specific management strategies. On-farm experiment based on field scale strip-trials were carried out during two years, at two locations, to evaluate crop yields under both uniform and variable fertilization rate of Nitrogen for winter crops. Yield maps records were used to evaluate the differences between variable and uniform fertilization rate, at different soil depths. Nitrogen Fertilization rates were established for 4 soil depth ranges (30 cm; 50 cm ; 80 cm and more than 1 m) according to the demand of nutrients to reach the average maximum yield. Economical benefits of this practice were analyzed, as well as its environmental impact due to available N for leaching and the greenhouse gas (GHG) emissions of both strategies.
Hydrologic and non-point source pollution risk analysis on agricultural watersheds
Non-point source (NPS) pollution caused by nutrients and pesticides is a problem of significant i... more Non-point source (NPS) pollution caused by nutrients and pesticides is a problem of significant interest in agricultural watersheds. The main goal of this study was the development of a decision support system (DSS) to compute hydrologic and NPS pollution risk in agricultural watersheds using a comprehensive hydrologic model. The SWAT model (Soil Water Assessment Tool) was selected for this purpose. ^ SWAT was validated to predict daily and monthly in-stream atrazine concentration in the St. Joseph River watershed in northeast Indiana using nine years of data. Even though the model was somewhat inaccurate for predicting atrazine levels at specific points, SWAT performed well in predicting the general atrazine concentration trend in streams over time for daily and monthly time intervals. The estimation of the timing of atrazine application was very important in the calibration and validation processes and proved to be a key input to predict the amount and timing of pesticide released...
No refinement. 5.2.1 Biomass 5.2.1.1 CHOICE OF METH ODS Carbon can be stored in the biomass of cr... more No refinement. 5.2.1 Biomass 5.2.1.1 CHOICE OF METH ODS Carbon can be stored in the biomass of croplands that contain perennial woody vegetation including, but not limited to, monocultures such as tea, coffee, oil palm, coconut, rubber plantations, fruit and nut orchards, and polycultures such as agroforestry systems. The default methodology for estimating carbon stock changes in woody biomass is provided in Chapter 2, Section 2.2.1. This section elaborates this methodology with respect to estimating changes in carbon stocks in biomass in Cropland Remaining Cropland. The change in biomass is only estimated for perennial woody crops. For annual crops, increase in biomass stocks in a single year is assumed equal to biomass losses from harvest and mortality in that same year-thus there is no net accumulation of biomass carbon stocks. Changes in carbon in cropland biomass (CCC B) may be estimated from either: (a) annual rates of biomass gain and loss (Chapter 2, Equation 2.7) or (b) carbon stocks at two points in time (Chapter 2, Equation 2.8). The first approach (gain-loss method) provides the default Tier 1 method and can also be used at Tier 2 or 3 with refinements described below. The second approach (the stock-difference method) applies either at Tier 2 or Tier 3, but not Tier 1. It is good practice to improve inventories by using the highest feasible tier given national circumstances. It is good practice for countries to use a Tier 2 or Tier 3 method if carbon emissions and removals in Cropland Remaining Cropland is a key category and if the sub-category of biomass is considered significant. It is good practice for countries to use the decision tree in Figure 2.2 in Chapter 2 to identify the appropriate tier to estimate changes in carbon stocks in biomass. Ti er 1 The default method is to multiply the area of perennial woody cropland by a net estimate of biomass accumulation from growth and subtract losses associated with harvest or gathering or disturbance (according to Equation 2.7 in Chapter 2). Losses are estimated by multiplying a carbon stock value by the area of cropland on which perennial woody crops are harvested. Default Tier 1 assumptions are: all carbon in perennial woody biomass removed (e.g., biomass cleared and replanted with a different crop) is emitted in the year of removal; and perennial woody crops accumulate carbon for an amount of time equal to a nominal harvest/maturity cycle. The latter assumption implies that perennial woody crops accumulate biomass for a finite period until they are removed through harvest or reach a steady state where there is no net accumulation of carbon in biomass because growth rates have slowed and incremental gains from growth are offset by losses from natural mortality, pruning or other losses. Under Tier 1, updated default factors shown in updated Table 5.1, Table 5.2 and Table 5.3, are applied to nationally derived estimates of land areas. For perennial cropland C uptake, multiply unharvested area that is still younger than the age of maturity by the above-ground growth rate. If harvest and immature areas are unknown, it is assumed that in cropland remaining cropland, the annual harvest area is equal to total area divided by rotation length in years. For perennial cropland C losses, the updated tables provide two types of carbon stocks of perennial woody biomass per area. One is maximum carbon stock at harvest/maturity state (Lmax). This is appropriate for estimating harvest loss due to crop renewal. The other is the mean carbon stock over the whole lifetime of the crop (Lmean). This is used for loss due to conversion to another land use where the age of converted cropland is unknown. These values should be used appropriately to calculate carbon losses following the guidance in 5.2.1.2. Ti er 2 Chapter 5: Clopland 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories 5.7 Two methods can be used for Tier 2 estimation of changes in biomass. Method 1 (also called the Gain-Loss Method) requires the biomass carbon loss to be subtracted from the biomass carbon increment for the reporting year (Chapter 2, Equation 2.7). Method 2 (also called the Stock-Difference Method) requires biomass carbon stock inventories for a given land-use area at two points in time (Chapter 2, Equation 2.8). A Tier 2 estimate, in contrast, will generally develop estimates for the major woody crop types by climate zones, using country-specific carbon accumulation rates and stock losses where possible or country-specific estimates of carbon stocks at two points in time. Under Tier 2, carbon stock changes are estimated for above-ground and belowground biomass in perennial woody vegetation. Tier 2 methods involve country-specific or region-specific estimates of biomass stocks by major cropland types and management system and estimates of stock change as a function of major management system (e.g., dominant crop, productivity management). To the extent possible, it is good practice for countries to incorporate changes in perennial crop or tree biomass using country-specific or region-specific data. Where data are missing, default data may be used. Ti er 3 A Tier 3 estimate will use a highly disaggregated Tier 2 approach or a country-specific method involving process modelling and/or detailed measurement. Tier 3 involves inventory systems using statistically-based sampling of carbon stocks over time and/or process models, stratified by climate, cropland type and management regime. For example, validated species-specific growth models that incorporate management effects such as harvesting and fertilization, with corresponding data on management activities, can be used to estimate net changes in cropland biomass carbon stocks over time. Models, perhaps accompanied by measurements like those in forest inventories, can be used to estimate stock changes and extrapolate to entire cropland areas, as in Tier 2. Key criteria in selecting appropriate models are that they are capable of representing all of the management practices that are represented in the activity data. It is critical that the model be validated with independent observations from country-specific or region-specific field locations that are representative of climate, soil and cropland management systems in the country. 5.2.1.2 CHOICE OF EMISSION FA CTORS Emission and removal factors required to estimate the changes in carbon stocks include (a) annual biomass accumulation or growth rate, and (b) biomass loss factors which are influenced by such activities as removal (harvesting), fuelwood gathering and disturbance. Above-ground woody biom ass growth rate Ti er 1 Updated Tables 5.1 to 5.3 provide estimates of biomass stocks and/or biomass growth rates and losses for major climatic regions and agricultural systems. Updated Table 5.1 provides default values of biomass growth and losses applicable to agroforestry cropping systems in broad climate regions. Agroforestry systems are defined in Table 5.5. Updated Table 5.2 provides default sequestration rates in above-and below-ground biomass for agro-forestry systems by region and climate zone. Updated Table 5.3 provides default values of biomass growth and losses for perennial cropping monoculture systems. Countries should use appropriate default values of above-ground biomass growth rate relative to each climate region and cropping system from updated Table 5.1, Table 5.2 or Table 5.3. However, given the large variation in cropping systems, incorporating trees or tree crops, it is good practice to seek national data on above-ground woody biomass growth rate. Ti er 2 Annual woody biomass growth rate data can be, at a finer or disaggregated scale, based on national data sources for different cropping and agroforestry systems. Rates of change in annual woody biomass growth rate should be estimated in response to changes in specific management/land-use activities (e.g., fertilization, harvesting, thinning). Results from field research should be compared to estimates of biomass growth from other sources to verify that they are within documented ranges. It is important, in deriving estimates of biomass accumulation rates, to recognize that biomass growth rates will occur primarily during the first 20 years following changes in management, after which time the rates will tend towards a new steady-state level with little or no change occurring unless further changes in management conditions occur. Volume 4: Agriculture, Forestry and Other Land Use 5.8 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories TABLE 5.1 (UPDATED 1) DEFAULT COEFFICIENTS FOR ABOVE-GROUND BIOMASS AND HARVEST/MATURITY CYCLES IN AGROFORESTRY SYSTEMS CONTAINING PERENNIAL SPECIES 2 Climate Region Agroforestry system 3 N Tree density Maximum aboveground biomass carbon stock at harvest ***Lmax Harvest /Maturity cycle** Biomass accumulati on rate (G)* Mean biomass carbon loss *** (Lmean)
La evolución futura de los sistemas productivos se define a través de la interacción de dos varia... more La evolución futura de los sistemas productivos se define a través de la interacción de dos variables complejas: el mercado y la ecología. Cuando es el mercado el que prepondera, los sistemas productivos se definen optimizando el resultado económico a través de un rápido retorno financiero, el establecimiento de sistemas con economía de escala y la obtención de un alto precio por unidad de producto. Los sistemas resultantes utilizan alimentos en base a granos para aumentar la tasa de crecimiento de los animales en engorde, lo que permite acelerar el período de terminación y obtener carne con atributos de calidad buscados por el consumidor. Sin embargo, esta estrategia tiene la desventaja de utilizar de manera ineficiente granos en comparación al uso directo por parte de los humanos, de animales monogástricos o para biocombustibles. Si bien la tecnología de insumos permitirá el incremento de la producción agrícola, la intensificación tendrá un impacto sobre el ambiente. Esta tensión ...
En los sistemas ganaderos la emisión de gases de efecto invernadero está determinada fundamentalm... more En los sistemas ganaderos la emisión de gases de efecto invernadero está determinada fundamentalmente por la producción de metano en el proceso de fermentación entérica. Los modelos típicamente utilizados para calcular las emisiones del ganado estiman la cantidad de metano generada en el rumen en base al consumo de materia seca del animal y al factor Ym que indica la fracción de la energía bruta ingerida que es transformada en metano en el tracto gastrointestinal (IPCC, 2006). Por un lado, la cantidad de alimento ingerido diariamente depende fundamentalmente de aspectos del animal (por ej. peso vivo, estado corporal, estado fisiológico, y raza) y del alimento (por ej. disponibilidad, digestibilidad, y balance de dieta). Por el otro lado, el factor Ym, como se explica en detalle en el capítulo correspondiente, varía fundamentalmente con la calidad de la dieta. La especificidad regional de los cálculos de emisiones se logra teniendo una precisa descripción de los sistemas productivos ...
Revista de la Facultad de Ciencias Agrarias
Biological contamination dynamic was assessed in a microbasin of the Rolling Pampa of Argentina t... more Biological contamination dynamic was assessed in a microbasin of the Rolling Pampa of Argentina trough the study of the bacterial partition coefficient (BactKdQ) of SWAT model (Soil and Water Assessment Tool). Biological contamination sceneries were estimated for two stocking rates (0.5 and 1 Animal Units) using two values of BactKdQ: the value set by default in SWAT model (175 m3 Mg-1) and a real value measured in situ (10 m3 Mg-1). For the real scenery, a close relationship between rainfall and runoff events and biological contamination of water courses was confirmed. Real BactKdQ values, yet still low, significantly influenced the dynamics of transport of fecal coliforms. Therefore it is of interest to include parameters such as BactKdQ measured locally instead of those that the SWAT sets as default. In addition, we observed a high concentration of fecal coliforms in the microbasin, pointing it as an environment with high risk of biological contamination, since for this applicati...
A hydrological model is often the first step for the development of spatial decision systems in o... more A hydrological model is often the first step for the development of spatial decision systems in order to identify vulnerable areas to the pollution by nutrients, pesticides as well as biological contaminants. The SWAT model was developed to predict the impact of land management on water, agrochemicals and sediments in hydrographical basins with different soils, land uses and practices for long time periods. This model is being used all over the world but it has not been applied in Argentina until present. The SWAT model was used in an agricultural microbasin in the Rolling Pampa (Argentina) and was calibrated and validated using runoff values measured in situ. Good efficiencies were found in a daily scale (R2: 0.55; R2ENS: 0.52) and poor efficiencies in a monthy scale (R2: 0.34; R2ENS: 0.04). During the calibration period, runoff was overestimated by 31.8% and 32.6% for the monthly and daily scale, respectively, while in the validation period, runoff was overestimated by 42.5% for t...
In 1998, a field experiment was carried out in Necochea (Prov. Buenos Aires), in order to evaluat... more In 1998, a field experiment was carried out in Necochea (Prov. Buenos Aires), in order to evaluate the effects of foliar-applied S04Mg on grain composition ( S, gluten and protein contents) and baking quality of wheat (Triticum durum) under irrigation. S04Mg was applied at different rates (0.8 , 12 and 16 kg S/ha) in a water solution, at the beginning of grain filling. S04Mg fertilization caused a significant increment in S and Protein grain contents. Although grain protein increment was statistically significant, gluten content did not vary and it was not related to the S grain content. S04Mg fertilization did not bring about significant changes in baking quality parameters (falling number. W. P.G) and flour extraction percent did not vary with regard to the control and it oscillated between 67 and 68%.
Evaluación de la respuesta de girasoles a la fertilización Nitrogenada en un Hapludol típico de Vedia, provincia de Buenos Aires
With the purpose of studying the response of sunflower crop (Helianthus annuus) to Nitrogen ferti... more With the purpose of studying the response of sunflower crop (Helianthus annuus) to Nitrogen fertilization in rates from 0 to 70 kg N/ha two field experiments were carried out in Vedia (Prov.Bs.As.) There were four treatments in each trial : 0, 50, 100 and 150 kg urea/ha, with three replications. Before planting soil samples (0-40 cm) were taken to determine initial NO3- content. At harvest grain yield and oil percent were recorded in both fields. Grain Yield was not affected by N fertilization, and Oil content decreased with increments in available N (N initial + N applied). It is necessary to develop a method for N fertilizer recommendation based in soil test. Initial N content could be a very useful early tool of diagnosis for N fertilizer recommendation. In this way we would have to build response curves for different rates of N applied at different initial N soil content. For using N balance models it is essential to study N mineralization dynamics during sunflower season in soi...
En los sistemas ganaderos la emisión de gases de efecto invernadero está determinada fundamentalm... more En los sistemas ganaderos la emisión de gases de efecto invernadero está determinada fundamentalmente por la producción de metano en el proceso de fermentación entérica. Los modelos típicamente utilizados para calcular las emisiones del ganado estiman la cantidad de metano generada en el rumen en base al consumo de materia seca del animal y al factor Ym que indica la fracción de la energía bruta ingerida que es transformada en metano en el tracto gastrointestinal (IPCC, 2006). Por un lado, la cantidad de alimento ingerido diariamente depende fundamentalmente de aspectos del animal (por ej. peso vivo, estado corporal, estado fisiológico, y raza) y del alimento (por ej. disponibilidad, digestibilidad, y balance de dieta). Por el otro lado, el factor Ym, como se explica en detalle en el capítulo correspondiente, varía fundamentalmente con la calidad de la dieta. La especificidad regional de los cálculos de emisiones se logra teniendo una precisa descripción de los sistemas productivos ...
El presente trabajo resume aspectos conceptales de la agriclutra por ambientes en suelos someros ... more El presente trabajo resume aspectos conceptales de la agriclutra por ambientes en suelos someros del sur de la provincia de Buenos Aires y resultados de dos campañsa de ensayos de fertilizacon nitrogenada a dosis variable en funcion de ambientes separados por profundidad de suelo. Para la ambientacion y la definición de criterios de ferilizacion se analizó el valor de la combinación del mapeo georreferenciado de profunidad efectiva por presencia de tosca o manto rocoso, combinado con modelos matematicos de cultivo, como herramientas soporte de decisiones. Los resultados presentados incluyen la respuesta a la fertilizacion variable en rendimiento en grano, emisioenes de GEIs y margen economico.
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Papers by Gabriel Vazquez Amabile