Investigación sobre el reconocimiento automático foliar de la laurisilva canaria

[ES] La investigación que se resume en el presente artículo, da evidencia de la posibilidad de lograr exitosamente una taxonomía de laurásea canaria de forma automática, usando muestras de hojas. Imágenes digitalizadas por medio de un escáner, de un muestrario de hojas, son usadas como elementos de clasificación. Éstas son procesadas, extrayendo parámetros discriminantes que, por medio de diferentes modelos de aprendizaje automático, los identifican como descriptivos de pertenencia a una especie. El resultado se presenta con un valor de evidencia, medición que permite evaluar el peso de parámetros o conjuntos de parámetros en la clasificación. El sistema podría ser usado para determinar parámetros taxonómicos que permitan establecer un sistema de patentes de plantas desarrolladas o descubiertas, de interés económico.

New techniques for the remote sensing of foliar nitrogen concentration in forest ecosystems.

During my Doctoral study I researched about the remote detection of canopy N concentration in forest stands, its potentials and problems, under many overlapping perspectives. The study consisted of three parts. In S. Rossore 2000 dataset analysis, I tested regressions between N concentration and NIR reflectances derived from different sources (field samples, airborne and satellite sensors). The analysis was further expanded using a larger dataset acquired in year 2009 as part of a new campaign funded by the ESA. In both cases, a good correlation was observed between Landsat NIR, using both TM (2009) and ETM+ (2000) imagery, and N concentration measured by a CHN elemental analyzer. Concerning airborne sensors I did not obtain the same good results, mainly because of the large FOV of the two instruments, and to the anisotropy of vegetation reflectance. We also tested the relation between ground based ASD measures and nitrogen concentration, obtaining really good results. Thus, I decided to expand my study to the regional level, focusing only on field and satellite measures. I analyzed a large dataset for the whole of Catalonia, Spain; MODIS imagery was used, in consideration of its spectral characteristics and despite its rather poor spatial resolution. Also in this case a regression between nitrogen concentration and reflectances was found, but not so good as in previous experiences. Moreover, vegetation type was found to play an important role in the observed relationship. We concluded that MODIS is not the most suitable satellite sensor in realities like Italy and Catalonia, which present a patchy and inhomogeneous vegetation cover; so it could be utilized for the parameterization of eco-physiological and biogeochemical models, but not for really local nitrogen estimate. Thus multispectral sensors similar to Landsat Thematic Mapper, with better spatial resolution, could be the most appropriate sensors to estimate N concentration.

Foliar fungal pathogens and grassland biodiversity

By attacking plants, herbivorous mammals, insects, and belowground pathogens are known to play an important role in maintaining biodiversity in grasslands. Foliar fungal pathogens are ubiquitous in grassland ecosystems, but little is known about their role as drivers of community composition and diversity. Here we excluded foliar fungal pathogens from perennial grassland by using fungicide to determine the effect of natural levels of disease on an otherwise undisturbed plant community. Importantly, we excluded foliar fungal pathogens along with rabbits, insects, and mollusks in a full factorial design, which allowed a comparison of pathogen effects along with those of better studied plant enemies. This revealed that fungal pathogens substantially reduced aboveground plant biomass and promoted plant diversity and that this especially benefited legumes. The scale of pathogen effects on productivity and biodiversity was similar to that of rabbits and insects, but different plant species responded to the exclusion of the three plant enemies. These results suggest that theories of plant coexistence and management of biodiversity in grasslands should consider foliar fungal pathogens as potentially important drivers of community composition.

Effectiveness of Foliar Fungicides by Timing on Hybrid Corn

Fungicides were rarely used on hybrid corn prior to 2007, however, in the past few years, some farmers have included fungicides in their common crop production, particularly as the value of grain has increased. Fungicides are recommended for foliar disease management to protect yield potential. There also have been reports of increased yields in the absence of disease. A number of fungicides are registered for use on corn. The objectives of this project were to evaluate the yield response of hybrid corn to foliar fungicide application at various timings.

Evaluation of Foliar Fungicides and Insecticides on Soybean

Use of foliar fungicides and insecticides are an effective strategy for managing foliar diseases on soybean. There are many different fungicides and insecticides available for use currently in Iowa. Iowa State University personnel assessed the success of fungicides and insecticides across Iowa. This study was conducted at six locations: Sutherland (NW), Kanawha (NC), Nashua (NE), Ames (central), Crawfordsville (SE), and Lewis (SW) research farms (Figure 1).

Effectiveness of Foliar Fungicides by Timing on Hybrid Corn

Fungicide use on hybrid corn has increased considerably in the past four growing seasons primarily due to reports of increased yields, even in the absence of disease and higher corn prices. A number of fungicides are registered for use on corn. The objectives of this project were to 1) assess the effect of timing of application of fungicides on standability, 2) evaluate the yield response of hybrid corn to foliar fungicide application, and 3) to discern differences, if any, between fungicide products.

Evaluation of Foliar Fungicides and Insecticides on Soybeans

Use of foliar fungicides and insecticides are an effective strategy for managing foliar diseases of soybean. There are many different fungicides and insecticides available for use currently in Iowa. Iowa State University personnel assessed the success of fungicides and insecticides across Iowa. This study was conducted at six locations: Sutherland (NW), Kanawha (NC), Nashua (NE), Ames (central), Crawfordsville (SE), and Lewis (SW) research farms (Figure 1).

Effectiveness of Foliar Fungicides by Timing on Hybrid Corn in Iowa

Fungicide use on hybrid corn has increased considerably in the past three growing seasons primarily due to reports of increased yields, even in the absence of disease and higher corn prices. A number of fungicides are registered for use on corn. The objectives of this project were to 1) evaluate the yield response of hybrid corn to foliar fungicide application, 2) compare the yield response of various products and timing of application, and 3) to assess the effect of fungicide application on stalk rot development.

Evaluation of Foliar Fungicides and Insecticides on Soybeans

Use of foliar fungicides and insecticides are an effective strategy for managing foliar diseases of soybean. There are many different fungicides and insecticides available for use currently in Iowa. Iowa State University personnel assessed the success of fungicides and insecticides across Iowa. This study was conducted at six locations: Sutherland (NW), Kanawha (NC), Nashua (NE), Ames (central), Crawfordsville (SE), and Lewis (SW) research farms (Figure 1).

Effectiveness of Foliar Fungicides by Timing on Hybrid Corn

Fungicides were rarely used on hybrid corn prior to 2007, however, in the past few years some farmers have made fungicides a regular input in their crop production, particularly as the value of grain has increased. Fungicides are recommended for foliar disease management to protect yield potential. There have also been reports of increased yields in the absence of disease. A number of fungicides are registered for use on corn. The objectives of this project were to evaluate the yield response of hybrid corn to foliar fungicide application at various timings.

Evaluation of Foliar Fungicides and Insecticides on Soybeans

Use of foliar fungicides and insecticides are an effective strategy for managing foliar diseases of soybean. There are many different fungicides and insecticides available for use currently in Iowa. Iowa State University personnel assessed the success of fungicides and insecticides across Iowa. This study was conducted at six locations: Sutherland (NW), Kanawha (NC), Nashua (NE), Ames (central), Crawfordsville (SE), and Lewis (SW) research farms (Figure 1).

Mapa bioclimático para las travesías de Mendoza (Argentina) basado en la fenología foliar

El objetivo fue generar un mapa bioclimático de la llanura de Mendoza que reflejara las diferencias climáticas expresadas por la actividad de la vegetación (fenología foliar) a escala regional. Se partió de la imagen digital del índice bioclimático de aridez P/ETP, generada en una etapa anterior a partir de una serie temporal de imágenes de índice verde (IVDN), y se recodificó en clases bioclimáticas. Se evaluó en cada clase la influencia antrópica y edáfica sobre las condiciones climáticas de aridez reflejadas por la vegetación. Se graficó la marcha fenológica anual media para cada bioclima a partir de una reconstrucción del IVDN. Las clases de clima húmedo y subhúmedo son de carácter edáfico debido al riego (oasis). Se proponen las clases: subdesértico (8,4%), árido inferior (15,3%), árido superior (24,2 %), semiárido inferior (25%) y semiárido superior (27,1%). Cada bioclima tiene una expresión vegetativa diferente en condiciones naturales. La marcha fenológica anual muestra que a mayor aridez menor es el contraste entre el IVDN mínimo y máximo, y que el momento de máxima cobertura vegetal varía de enero (semiárido) a abril (subdesértico). Esta propuesta permite extender y optimizar el conocimiento climático de las estaciones meteorológicas a través de toda la llanura mediante la expresión fenológica de la vegetación.

Fertilización foliar con macronutrientes a plantas de naranja Valencia late (Citrus sinensis (L.) Osbeck) y tangor Murcott (Citrus reticulata Blanco x Citrus sinensis (L.) Osbeck)

El objetivo de este trabajo fue analizar el efecto de diferentes dosis de fertilizantes foliares con macronutrientes en plantas de naranja Valencia y de tangor Murcott. Los experimentos fueron realizados durante tres campañas consecutivas en Corrientes Argentina. El diseño experimental fue en bloques completos al azar con cuatro repeticiones y parcelas experimentales de cuatro plantas. Los tratamientos ensayados fueron T1 control; T2 N (12%) 2 L.ha-1; T3 N (12%) 4 L.ha-1; T4 N (9%) y P (2,6%) 2 L ha- 1; T5 N (9%) y P (2,6%) 4 L.ha-1; T6 N (9,3%), P (2,6%) y K (2,1%) 2 L.ha-1; T7 N (9,3%), P (2,6%) y K (2,1%) 4 L.ha-1, de fertilizante foliar formulados en base a sales de sulfato de amonio, fosfato monoamónico y nitrato de potasio según tratamiento. Los mismos fueron aplicados por campaña en prefloración, plena floración y en otoño. Se midieron las concentraciones foliares de N, P y K en hojas de otoño de ramas fructíferas y al momento de cosecha se determinó rendimiento total, diámetro de fruta, porcentaje de jugo, sólidos solubles, acidez y relación sólidos solubles/acidez. En Valencia late todos los tratamientos incrementaron el contenido de P foliar en comparación con el control. El tratamiento T7 incrementó un 38,7% el rendimiento respecto de T1, aunque los frutos presentaron menor diámetro. En "Murcott" todos los tratamientos incrementaron el rendimiento comparados con T1, y las máximas producciones se observaron en los tratamientos T7 (64,9% mayor) y T6 (43,8% mayor) además T7 incrementó el contenido de P foliar y disminuyó el contenido de sólidos solubles en comparación con el control. La fertilización foliar con macronutrientes incrementó la productividad en naranja Valencia late y tangor Murcott. Este trabajo muestra la utilidad de la fertilización foliar con macronutrientes como una herramienta complementaria en los programas de fertilización diseñados para optimizar el rendimiento.