Ground cover and leaf area index relationship in a grass, legume and crucifer crop

Canopy characterization is essential for describing the interaction of a crop with its environment. The goal of this work was to determine the relationship between leaf area index (LAI) and ground cover (GC) in a grass, a legume and a crucifer crop, and to assess the feasibility of using these relationships as well as LAI-2000 readings to estimate LAI. Twelve plots were sown with either barley (Hordeum vulgare L.), vetch (Vicia sativa L.), or rape (Brassica napus L.). On 10 sampling dates the LAI (both direct and LAI-2000 estimations), fraction intercepted of photosynthetically active radiation (FIPAR) and GC were measured. Linear and quadratic models fitted to the relationship between the GC and LAI for all of the crops, but they reached a plateau in the grass when the LAI mayor que 4. Before reaching full cover, the slope of the linear relationship between both variables was within the range of 0.025 to 0.030. The LAI-2000 readings were linearly correlated with the LAI but they tended to overestimation. Corrections based on the clumping effect reduced the root mean square error of the estimated LAI from the LAI-2000 readings from 1.2 to less than 0.50 for the crucifer and the legume, but were not effective for barley.

Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes.

Leaf nitrogen and leaf surface area influence the exchange of gases between terrestrial ecosystems and the atmosphere, and play a significant role in the global cycles of carbon, nitrogen and water. The purpose of this study is to use field-based and satellite remote-sensing-based methods to assess leaf nitrogen pools in five diverse European agricultural landscapes located in Denmark, Scotland (United Kingdom), Poland, the Netherlands and Italy. REGFLEC (REGularized canopy reFLECtance) is an advanced image-based inverse canopy radiative transfer modelling system which has shown proficiency for regional mapping of leaf area index (LAI) and leaf chlorophyll (CHLl) using remote sensing data. In this study, high spatial resolution (10–20 m) remote sensing images acquired from the multispectral sensors aboard the SPOT (Satellite For Observation of Earth) satellites were used to assess the capability of REGFLEC for mapping spatial variations in LAI, CHLland the relation to leaf nitrogen (Nl) data in five diverse European agricultural landscapes. REGFLEC is based on physical laws and includes an automatic model parameterization scheme which makes the tool independent of field data for model calibration. In this study, REGFLEC performance was evaluated using LAI measurements and non-destructive measurements (using a SPAD meter) of leaf-scale CHLl and Nl concentrations in 93 fields representing crop- and grasslands of the five landscapes. Furthermore, empirical relationships between field measurements (LAI, CHLl and Nl and five spectral vegetation indices (the Normalized Difference Vegetation Index, the Simple Ratio, the Enhanced Vegetation Index-2, the Green Normalized Difference Vegetation Index, and the green chlorophyll index) were used to assess field data coherence and to serve as a comparison basis for assessing REGFLEC model performance. The field measurements showed strong vertical CHLl gradient profiles in 26% of fields which affected REGFLEC performance as well as the relationships between spectral vegetation indices (SVIs) and field measurements. When the range of surface types increased, the REGFLEC results were in better agreement with field data than the empirical SVI regression models. Selecting only homogeneous canopies with uniform CHLl distributions as reference data for evaluation, REGFLEC was able to explain 69% of LAI observations (rmse = 0.76), 46% of measured canopy chlorophyll contents (rmse = 719 mg m−2) and 51% of measured canopy nitrogen contents (rmse = 2.7 g m−2). Better results were obtained for individual landscapes, except for Italy, where REGFLEC performed poorly due to a lack of dense vegetation canopies at the time of satellite recording. Presence of vegetation is needed to parameterize the REGFLEC model. Combining REGFLEC- and SVI-based model results to minimize errors for a "snap-shot" assessment of total leaf nitrogen pools in the five landscapes, results varied from 0.6 to 4.0 t km−2. Differences in leaf nitrogen pools between landscapes are attributed to seasonal variations, extents of agricultural area, species variations, and spatial variations in nutrient availability. In order to facilitate a substantial assessment of variations in Nl pools and their relation to landscape based nitrogen and carbon cycling processes, time series of satellite data are needed. The upcoming Sentinel-2 satellite mission will provide new multiple narrowband data opportunities at high spatio-temporal resolution which are expected to further improve remote sensing capabilities for mapping LAI, CHLl and Nl.

Growth dynamics and yield of melon as influenced by nitrogen fertilizer

Nitrogen (N) is an important nutrient for melon (Cucumis melo L.) production. However there is scanty information about the amount necessary to maintain an appropriate balance between growth and yield. Melon vegetative organs must develop sufficiently to intercept light and accumulate water and nutrients but it is also important to obtain a large reproductive-vegetative dry weight ratio to maximize the fruit yield. We evaluated the influence of different N amounts on the growth, production of dry matter and fruit yield of a melon ‘Piel de sapo’ type. A three-year field experiment was carried out from May to September. Melons were subjected to an irrigation depth of 100% crop evapotranspiration and to 11 N fertilization rates, ranging 11 to 393 kg ha –1 in the three years. The dry matter production of leaves and stems increased as the N amount increased. The dry matter of the whole plant was affected similarly, while the fruit dry matter decreased as the N amount was increased above 112, 93 and 95 kg ha –1 , in 2005, 2006 and 2007, respectively. The maximum Leaf Area Index (LAI), 3.1, was obtained at 393 kg ha –1 of N. The lowest N supply reduced the fruit yield by 21%, while the highest increased the vegetative growth, LAI and Leaf Area Duration (LAD), but reduced yield by 24% relative to the N93 treatment. Excessive applications of N increase vegetative growth at the expense of reproductive growth. For this melon type, rates about 90-100 kg ha –1 of N are sufficient for adequate plant growth, development and maximum production. To obtain fruit yield close to the maximum, the leaf N concentration at the end of the crop cycle should be higher than 19.5 g kg –1

Estudios de eficiencia en el uso de la luz y estimaciones de biomasa en cultivos energéticos de Salix sp. en Central New York, USA

La productividad es un factor importante que influye en la viabilidad económica de un cultivo energético de sauce y maximizarla se convierte en un tema primordial. Esta investigación está directamente relacionada con dicha característica. La productividad varía según los clones cultivados, que pueden ser mejorados y seleccionados genéticamente. Los programas genéticos requieren de una información previa (productividad media en función del porte y número de los tallos, características de las hojas, resistencia a las plagas, etc.) que ayudará a obtener clones más productivos y resistentes. Por ello, nuestra investigación consta de dos estudios: (1) Evaluación de la eficiencia del uso de la luz o LUE (Light Use Efficiency). El incremento de biomasa y la eficiencia del uso de la luz (LUE) fue estudiado en 15 clones del genero Salix durante los meses de junio a septiembre de 2011 en Belleville (Central New York, USA). Los objetivos de este estudio fueron: (1) Evaluar la eficiencia del uso de la luz en la explicación a la variación en la producción de biomasa y (2) Determinar si existen diferencias significativas entre clones evaluando el índice de área foliar (LAI) y algunos componentes de las hojas (N, P, K,…). Se concluye que la variación de biomasa está relacionada con la cantidad de luz interceptada y con la eficiencia de su uso. Dicha información debe de ser transferida para ayudar a mejorar genéticamente los futuros clones a comercializar, con el fin de maximizar la productividad y aumentar la resistencia a plagas. (2) Estimación de biomasa a través de modelos de regresión. Los estudios de investigación relacionados con la productividad requieren estimaciones no destructivas de la biomasa aérea. Sin embargo, el nivel de precisión requerido y la inversión de tiempo son excesivos para operaciones comerciales con grandes extensiones (plantaciones de 10.000 ha). Por esta razón, se estudia el nivel de especificidad (específico, intermedio y general) en la toma de datos de campo sobre los mismos 15 clones (12 de ellos se pueden agrupar en 5 grupos según su genotipo origen) del genero Salix, empleados en el estudio anterior. Para todos los niveles estudiados se observaron diferencias significativas. Pero desde nuestro punto de vista, las diferencias obtenidas no son relevantes. Para validar los modelos finalmente seleccionados se calcularon los porcentajes de error entre la biomasa estimada por los modelos de regresión calculados y la biomasa real obtenida tras los pesajes de biomasa, todo ello se realizó para cada clon según nivel de especificidad. ABSTRACT Productivity is an important factor in the economic viability of a willow crop´s, therefore, maximize it becomes a major factor. This study is directly related to this feature. Productivity, among other factors, may vary depending on different clones, which can be improved and selected genetically. Genetic programs require prior information (average productivity, size and number of stems, leaf characteristics, resistance to pests, etc.) to help you get more productive clones resistant to local pests. Our research consists of two studies: (1) Evaluation of the efficiency of use of light (LUE, Light Use Efficiency). The increase of biomass and light use efficiency (LUE) was tested on 15 clones of the genus Salix during June and September 2011 in Belleville (Central New York, USA). The objectives of this study were: (1) evaluate the light use efficiency and its relationship with the variation in biomass production and (2) determine whether there are significant differences between clones evaluating the leaf area index (LAI) and some traits of the leaves (N, P, K). We studied the correlation with the light use efficiency. It is concluded that the variation of biomass was related to the amount of light intercepted and its efficiency. Such information must be transferred to help improve future genetically clones to market in order to maximize productivity and increase resistance to pests. (2) Estimation of biomass through regression models. Research studies related to productivity estimates require precision and non destructive biomass. However, the level of accuracy required and the investment of time are excessive for large commercial operations with extensions (plantations of 10,000 ha). Precisely for this reason, we study the level of specificity (specific, intermediate and general) in making field data on the same 15 clones (12 of them can be grouped into five groups according to their genotype origin) of the genus Salix, employees in the previous study. For all levels studied some significant differences were observed. But from our practical standpoint, the differences are not relevant. Finally, to validate the selected models, we calculated the percent of bias between estimated biomass (by the regression models) and real biomass obtained after the weighing of biomass, all this process was done for each clone by level of specificity.

Carbon allocation in north-western Amazon forests (Colombia)

Los estudios sobre la asignación del carbono en los ecosistemas forestales proporcionan información esencial para la comprensión de las diferencias espaciales y temporales en el ciclo del carbono de tal forma que pueden aportar información a los modelos y, así predecir las posibles respuestas de los bosques a los cambios en el clima. Dentro de este contexto, los bosques Amazónicos desempeñan un papel particularmente importante en el balance global del carbono; no obstante, existen grandes incertidumbres en cuanto a los controles abióticos en las tasas de la producción primaria neta (PPN), la asignación de los productos de la fotosíntesis a los diferentes componentes o compartimentos del ecosistema (aéreo y subterráneo) y, cómo estos componentes de la asignación del carbono responden a eventos climáticos extremos. El objetivo general de esta tesis es analizar los componentes de la asignación del carbono en bosques tropicales maduros sobre suelos contrastantes, que crecen bajo condiciones climáticas similares en dos sitios ubicados en la Amazonia noroccidental (Colombia): el Parque Natural Nacional Amacayacu y la Estación Biológica Zafire. Con este objetivo, realicé mediciones de los componentes de la asignación del carbono (biomasa, productividad primaria neta, y su fraccionamiento) a nivel ecosistémico y de la dinámica forestal (tasas anuales de mortalidad y reclutamiento), a lo largo de ocho años (20042012) en seis parcelas permanentes de 1 hectárea establecidas en cinco tipos de bosques sobre suelos diferentes (arcilloso, franco-arcilloso, franco-arcilloso-arenoso, franco-arenoso y arena-francosa). Toda esta información me permitió abordar preguntas específicas que detallo a continuación. En el Capítulo 2 evalúe la hipótesis de que a medida que aumenta la fertilidad del suelo disminuye la cantidad del carbono asignado a la producción subterránea (raíces finas con diámetro <2 mm). Y para esto, realicé mediciones de la masa y la producción de raíces finas usando dos métodos: (1) el de los cilindros de crecimiento y, (2) el de los cilindros de extracción secuencial. El monitoreo se realizó durante 2.2 años en los bosques con suelos más contrastantes: arcilla y arena-francosa. Encontré diferencias significativas en la masa de raíces finas y su producción entre los bosques y, también con respecto a la profundidad del suelo (010 y 1020 cm). El bosque sobre arena-francosa asignó más carbono a las raíces finas que el bosque sobre arcillas. La producción de raíces finas en el bosque sobre arena-francosa fue dos veces más alta (media ± error estándar = 2.98 ± 0.36 y 3.33 ± 0.69 Mg C ha1 año1, con el método 1 y 2, respectivamente), que para el bosque sobre arcillas, el suelo más fértil (1.51 ± 0.14, método 1, y desde 1.03 ± 0.31 a 1.36 ± 0.23 Mg C ha1 año1, método 2). Del mismo modo, el promedio de la masa de raíces finas fue tres veces mayor en el bosque sobre arena-francosa (5.47 ± 0.17 Mg C ha1) que en el suelo más fértil (de 1.52 ± 0.08 a 1.82 ± 0.09 Mg C ha1). La masa de las raíces finas también mostró un patrón temporal relacionado con la lluvia, mostrando que la producción de raíces finas disminuyó sustancialmente en el período seco del año 2005. Estos resultados sugieren que los recursos del suelo pueden desempeñar un papel importante en los patrones de la asignación del carbono entre los componentes aéreo y subterráneo de los bosques tropicales; y que el suelo no sólo influye en las diferencias en la masa de raíces finas y su producción, sino que también, en conjunto con la lluvia, sobre la estacionalidad de la producción. En el Capítulo 3 estimé y analicé los tres componentes de la asignación del carbono a nivel del ecosistema: la biomasa, la productividad primaria neta PPN, y su fraccionamiento, en los mismos bosques del Capítulo 2 (el bosque sobre arcillas y el bosque sobre arena-francosa). Encontré diferencias significativas en los patrones de la asignación del carbono entre los bosques; el bosque sobre arcillas presentó una mayor biomasa total y aérea, así como una PPN, que el bosque sobre arena-francosa. Sin embargo, la diferencia entre los dos bosques en términos de la productividad primaria neta total fue menor en comparación con las diferencias entre la biomasa total de los bosques, como consecuencia de las diferentes estrategias en la asignación del carbono a los componentes aéreo y subterráneo del bosque. La proporción o fracción de la PPN asignada a la nueva producción de follaje fue relativamente similar entre los dos bosques. Nuestros resultados de los incrementos de la biomasa aérea sugieren una posible compensación entre la asignación del carbono al crecimiento de las raíces finas versus el de la madera, a diferencia de la compensación comúnmente asumida entre la parte aérea y la subterránea en general. A pesar de estas diferencias entre los bosques en términos de los componentes de la asignación del carbono, el índice de área foliar fue relativamente similar entre ellos, lo que sugiere que el índice de área foliar es más un indicador de la PPN total que de la asignación de carbono entre componentes. En el Capítulo 4 evalué la variación espacial y temporal de los componentes de la asignación del carbono y la dinámica forestal de cinco tipos e bosques amazónicos y sus respuestas a fluctuaciones en la precipitación, lo cual es completamente relevante en el ciclo global del carbono y los procesos biogeoquímicos en general. Estas variaciones son así mismo importantes para evaluar los efectos de la sequía o eventos extremos sobre la dinámica natural de los bosques amazónicos. Evalué la variación interanual y la estacionalidad de los componentes de la asignación del carbono y la dinámica forestal durante el periodo 2004−2012, en cinco bosques maduros sobre diferentes suelos (arcilloso, franco-arcilloso, franco-arcilloso-arenoso, franco-arenoso y arena-francosa), todos bajo el mismo régimen local de precipitación en la Amazonia noroccidental (Colombia). Quería examinar sí estos bosques responden de forma similar a las fluctuaciones en la precipitación, tal y como pronostican muchos modelos. Consideré las siguientes preguntas: (i) ¿Existe una correlación entre los componentes de la asignación del carbono y la dinámica forestal con la precipitación? (ii) ¿Existe correlación entre los bosques? (iii) ¿Es el índice de área foliar (LAI) un indicador de las variaciones en la producción aérea o es un reflejo de los cambios en los patrones de la asignación del carbono entre bosques?. En general, la correlación entre los componentes aéreo y subterráneo de la asignación del carbono con la precipitación sugiere que los suelos juegan un papel importante en las diferencias espaciales y temporales de las respuestas de estos bosques a las variaciones en la precipitación. Por un lado, la mayoría de los bosques mostraron que los componentes aéreos de la asignación del carbono son susceptibles a las fluctuaciones en la precipitación; sin embargo, el bosque sobre arena-francosa solamente presentó correlación con la lluvia con el componente subterráneo (raíces finas). Por otra parte, a pesar de que el noroeste Amazónico es considerado sin una estación seca propiamente (definida como <100 mm meses −1), la hojarasca y la masa de raíces finas mostraron una alta variabilidad y estacionalidad, especialmente marcada durante la sequía del 2005. Además, los bosques del grupo de suelos francos mostraron que la hojarasca responde a retrasos en la precipitación, al igual que la masa de raíces finas del bosque sobre arena-francosa. En cuanto a la dinámica forestal, sólo la tasa de mortalidad del bosque sobre arena-francosa estuvo correlacionada con la precipitación (ρ = 0.77, P <0.1). La variabilidad interanual en los incrementos en el tallo y la biomasa de los individuos resalta la importancia de la mortalidad en la variación de los incrementos en la biomasa aérea. Sin embargo, las tasas de mortalidad y las proporciones de individuos muertos por categoría de muerte (en pie, caído de raíz, partido y desaparecido), no mostraron tendencias claras relacionadas con la sequía. Curiosamente, la hojarasca, el incremento en la biomasa aérea y las tasas de reclutamiento mostraron una alta correlación entre los bosques, en particular dentro del grupo de los bosques con suelos francos. Sin embargo, el índice de área foliar estimado para los bosques con suelos más contrastantes (arcilla y arena-francosa), no presentó correlación significativa con la lluvia; no obstante, estuvo muy correlacionado entre bosques; índice de área foliar no reflejó las diferencias en la asignación de los componentes del carbono, y su respuesta a la precipitación en estos bosques. Por último, los bosques estudiados muestran que el noroeste amazónico es susceptible a fenómenos climáticos, contrario a lo propuesto anteriormente debido a la ausencia de una estación seca propiamente dicha. ABSTRACT Studies of carbon allocation in forests provide essential information for understanding spatial and temporal differences in carbon cycling that can inform models and predict possible responses to changes in climate. Amazon forests play a particularly significant role in the global carbon balance, but there are still large uncertainties regarding abiotic controls on the rates of net primary production (NPP) and the allocation of photosynthetic products to different ecosystem components; and how the carbon allocation components of Amazon forests respond to extreme climate events. The overall objective of this thesis is to examine the carbon allocation components in old-growth tropical forests on contrasting soils, and under similar climatic conditions in two sites at the Amacayacu National Natural Park and the Zafire Biological Station, located in the north-western Amazon (Colombia). Measurements of above- and below-ground carbon allocation components (biomass, net primary production, and its partitioning) at the ecosystem level, and dynamics of tree mortality and recruitment were done along eight years (20042012) in six 1-ha plots established in five Amazon forest types on different soils (clay, clay-loam, sandy-clay-loam, sandy-loam and loamy-sand) to address specific questions detailed in the next paragraphs. In Chapter 2, I evaluated the hypothesis that as soil fertility increases the amount of carbon allocated to below-ground production (fine-roots) should decrease. To address this hypothesis the standing crop mass and production of fine-roots (<2 mm) were estimated by two methods: (1) ingrowth cores and, (2) sequential soil coring, during 2.2 years in the most contrasting forests: the clay-soil forest and the loamy-sand forest. We found that the standing crop fine-root mass and its production were significantly different between forests and also between soil depths (0–10 and 10–20 cm). The loamysand forest allocated more carbon to fine-roots than the clay-soil forest, with fine-root production in the loamy-sand forest twice (mean ± standard error = 2.98 ± 0.36 and 3.33 ± 0.69 Mg C ha −1 yr −1, method 1 and 2, respectively) as much as for the more fertile claysoil forest (1.51 ± 0.14, method 1, and from 1.03 ± 0.31 to 1.36 ± 0.23 Mg C ha −1 yr −1, method 2). Similarly, the average of standing crop fine-root mass was three times higher in the loamy-sand forest (5.47 ± 0.17 Mg C ha1) than in the more fertile soil (from 1.52 ± 0.08 a 1.82 ± 0.09 Mg C ha1). The standing crop fine-root mass also showed a temporal pattern related to rainfall, with the production of fine-roots decreasing substantially in the dry period of the year 2005. These results suggest that soil resources may play an important role in patterns of carbon allocation of below-ground components, not only driven the differences in the biomass and its production, but also in the time when it is produced. In Chapter 3, I assessed the three components of stand-level carbon allocation (biomass, NPP, and its partitioning) for the same forests evaluated in Chapter 2 (clay-soil forest and loamy-sand forest). We found differences in carbon allocation patterns between these two forests, showing that the forest on clay-soil had a higher aboveground and total biomass as well as a higher above-ground NPP than the loamy-sand forest. However, differences between the two types of forests in terms of stand-level NPP were smaller, as a consequence of different strategies in the carbon allocation of above- and below-ground components. The proportional allocation of NPP to new foliage production was relatively similar between the two forests. Our results of aboveground biomass increments and fine-root production suggest a possible trade-off between carbon allocation to fine-roots versus wood growth (as it has been reported by other authors), as opposed to the most commonly assumed trade-off between total above- and below-ground production. Despite these differences among forests in terms of carbon allocation components, the leaf area index showed differences between forests like total NPP, suggesting that the leaf area index is more indicative of total NPP than carbon allocation. In Chapter 4, I evaluated the spatial and temporal variation of carbon allocation components and forest dynamics of Amazon forests as well as their responses to climatic fluctuations. I evaluated the intra- and inter-annual variation of carbon allocation components and forest dynamics during the period 2004−2012 in five forests on different soils (clay, clay-loam, sandy-clay-loam, sandy-loam and loamy-sand), but growing under the same local precipitation regime in north-western Amazonia (Colombia). We were interested in examining if these forests respond similarly to rainfall fluctuations as many models predict, considering the following questions: (i) Is there a correlation in carbon allocation components and forest dynamics with precipitation? (ii) Is there a correlation among forests? (iii) Are temporal responses in leaf area index (LAI) indicative of variations of above-ground production or a reflection of changes in carbon allocation patterns among forests?. Overall, the correlation of above- and below-ground carbon allocation components with rainfall suggests that soils play an important role in the spatial and temporal differences of responses of these forests to rainfall fluctuations. On the one hand, most forests showed that the above-ground components are susceptible to rainfall fluctuations; however, there was a forest on loamy-sand that only showed a correlation with the below-ground component (fine-roots). On the other hand, despite the fact that north-western Amazonia is considered without a conspicuous dry season (defined as <100 mm month−1), litterfall and fine-root mass showed high seasonality and variability, particularly marked during the drought of 2005. Additionally, forests of the loam-soil group showed that litterfall respond to time-lags in rainfall as well as and the fine-root mass of the loamy-sand forest. With regard to forest dynamics, only the mortality rate of the loamy-sand forest was significantly correlated with rainfall (77%). The observed inter-annual variability of stem and biomass increments of individuals highlighted the importance of the mortality in the above-ground biomass increment. However, mortality rates and death type proportion did not show clear trends related to droughts. Interestingly, litterfall, above-ground biomass increment and recruitment rates of forests showed high correlation among forests, particularly within the loam-soil forests group. Nonetheless, LAI measured in the most contrasting forests (clay-soil and loamysand) was poorly correlated with rainfall but highly correlated between forests; LAI did not reflect the differences in the carbon allocation components, and their response to rainfall on these forests. Finally, the forests studied highlight that north-western Amazon forests are also susceptible to climate fluctuations, contrary to what has been proposed previously due to their lack of a pronounced dry season.

Evaluation of cover crops based on characteristics of nitrogen use, and aerial and root growth

La caracterización de los cultivos cubierta (cover crops) puede permitir comparar la idoneidad de diferentes especies para proporcionar servicios ecológicos como el control de la erosión, el reciclado de nutrientes o la producción de forrajes. En este trabajo se estudiaron bajo condiciones de campo diferentes técnicas para caracterizar el dosel vegetal con objeto de establecer una metodología para medir y comparar las arquitecturas de los cultivos cubierta más comunes. Se estableció un ensayo de campo en Madrid (España central) para determinar la relación entre el índice de área foliar (LAI) y la cobertura del suelo (GC) para un cultivo de gramínea, uno de leguminosa y uno de crucífera. Para ello se sembraron doce parcelas con cebada (Hordeum vulgare L.), veza (Vicia sativa L.), y colza (Brassica napus L.). En 10 fechas de muestreo se midieron el LAI (con estimaciones directas y del LAI-2000), la fracción interceptada de la radiación fotosintéticamente activa (FIPAR) y la GC. Un experimento de campo de dos años (Octubre-Abril) se estableció en la misma localización para evaluar diferentes especies (Hordeum vulgare L., Secale cereale L., x Triticosecale Whim, Sinapis alba L., Vicia sativa L.) y cultivares (20) en relación con su idoneidad para ser usadas como cultivos cubierta. La GC se monitorizó mediante análisis de imágenes digitales con 21 y 22 muestreos, y la biomasa se midió 8 y 10 veces, respectivamente para cada año. Un modelo de Gompertz caracterizó la cobertura del suelo hasta el decaimiento observado tras las heladas, mientras que la biomasa se ajustó a ecuaciones de Gompertz, logísticas y lineales-exponenciales. Al final del experimento se determinaron el C, el N y el contenido en fibra (neutrodetergente, ácidodetergente y lignina), así como el N fijado por las leguminosas. Se aplicó el análisis de decisión multicriterio (MCDA) con objeto de obtener un ranking de especies y cultivares de acuerdo con su idoneidad para actuar como cultivos cubierta en cuatro modalidades diferentes: cultivo de cobertura, cultivo captura, abono verde y forraje. Las asociaciones de cultivos leguminosas con no leguminosas pueden afectar al crecimiento radicular y a la absorción de N de ambos componentes de la mezcla. El conocimiento de cómo los sistemas radiculares específicos afectan al crecimiento individual de las especies es útil para entender las interacciones en las asociaciones, así como para planificar estrategias de cultivos cubierta. En un tercer ensayo se combinaron estudios en rhizotrones con extracción de raíces e identificación de especies por microscopía, así como con estudios de crecimiento, absorción de N y 15N en capas profundas del suelo. Las interacciones entre raíces en su crecimiento y en el aprovisionamiento de N se estudiaron para dos de los cultivares mejor valorados en el estudio previo: uno de cebada (Hordeum vulgare L. cv. Hispanic) y otro de veza (Vicia sativa L. cv. Aitana). Se añadió N en dosis de 0 (N0), 50 (N1) y 150 (N2) kg N ha-1. Como resultados del primer estudio, se ajustaron correctamente modelos lineales y cuadráticos a la relación entre la GC y el LAI para todos los cultivos, pero en la gramínea alcanzaron una meseta para un LAI>4. Antes de alcanzar la cobertura total, la pendiente de la relación lineal entre ambas variables se situó en un rango entre 0.025 y 0.030. Las lecturas del LAI-2000 estuvieron correlacionadas linealmente con el LAI, aunque con tendencia a la sobreestimación. Las correcciones basadas en el efecto de aglutinación redujeron el error cuadrático medio del LAI estimado por el LAI-2000 desde 1.2 hasta 0.5 para la crucífera y la leguminosa, no siendo efectivas para la cebada. Esto determinó que para los siguientes estudios se midieran únicamente la GC y la biomasa. En el segundo experimento, las gramíneas alcanzaron la mayor cobertura del suelo (83-99%) y la mayor biomasa (1226-1928 g m-2) al final del mismo. Con la mayor relación C/N (27-39) y contenido en fibra digestible (53-60%) y la menor calidad de residuo (~68%). La mostaza presentó elevadas GC, biomasa y absorción de N en el año más templado en similitud con las gramíneas, aunque escasa calidad como forraje en ambos años. La veza presentó la menor absorción de N (2.4-0.7 g N m-2) debido a la fijación de N (9.8-1.6 g N m-2) y escasa acumulación de N. El tiempo térmico hasta alcanzar el 30% de GC constituyó un buen indicador de especies de rápida cubrición. La cuantificación de las variables permitió hallar variabilidad entre las especies y proporcionó información para posteriores decisiones sobre la selección y manejo de los cultivos cubierta. La agregación de dichas variables a través de funciones de utilidad permitió confeccionar rankings de especies y cultivares para cada uso. Las gramíneas fueron las más indicadas para los usos de cultivo de cobertura, cultivo captura y forraje, mientras que las vezas fueron las mejor como abono verde. La mostaza alcanzó altos valores como cultivo de cobertura y captura en el primer año, pero el segundo decayó debido a su pobre actuación en los inviernos fríos. Hispanic fue el mejor cultivar de cebada como cultivo de cobertura y captura, mientras que Albacete como forraje. El triticale Titania alcanzó la posición más alta como cultiva de cobertura, captura y forraje. Las vezas Aitana y BGE014897 mostraron buenas aptitudes como abono verde y cultivo captura. El MCDA permitió la comparación entre especies y cultivares proporcionando información relevante para la selección y manejo de cultivos cubierta. En el estudio en rhizotrones tanto la mezcla de especies como la cebada alcanzaron mayor intensidad de raíces (RI) y profundidad (RD) que la veza, con valores alrededor de 150 cruces m-1 y 1.4 m respectivamente, comparados con 50 cruces m-1 y 0.9 m para la veza. En las capas más profundas del suelo, la asociación de cultivos mostró valores de RI ligeramente mayores que la cebada en monocultivo. La cebada y la asociación obtuvieron mayores valores de densidad de raíces (RLD) (200-600 m m-3) que la veza (25-130) entre 0.8 y 1.2 m de profundidad. Los niveles de N no mostraron efectos claros en RI, RD ó RLD, sin embargo, el incremento de N favoreció la proliferación de raíces de veza en la asociación en capas profundas del suelo, con un ratio cebada/veza situado entre 25 a N0 y 5 a N2. La absorción de N de la cebada se incrementó en la asociación a expensas de la veza (de ~100 a 200 mg planta-1). Las raíces de cebada en la asociación absorbieron también más nitrógeno marcado de las capas profundas del suelo (0.6 mg 15N planta-1) que en el monocultivo (0.3 mg 15N planta-1). ABSTRACT Cover crop characterization may allow comparing the suitability of different species to provide ecological services such as erosion control, nutrient recycling or fodder production. Different techniques to characterize plant canopy were studied under field conditions in order to establish a methodology for measuring and comparing cover crops canopies. A field trial was established in Madrid (central Spain) to determine the relationship between leaf area index (LAI) and ground cover (GC) in a grass, a legume and a crucifer crop. Twelve plots were sown with either barley (Hordeum vulgare L.), vetch (Vicia sativa L.), or rape (Brassica napus L.). On 10 sampling dates the LAI (both direct and LAI-2000 estimations), fraction intercepted of photosynthetically active radiation (FIPAR) and GC were measured. A two-year field experiment (October-April) was established in the same location to evaluate different species (Hordeum vulgare L., Secale cereale L., x Triticosecale Whim, Sinapis alba L., Vicia sativa L.) and cultivars (20) according to their suitability to be used as cover crops. GC was monitored through digital image analysis with 21 and 22 samples, and biomass measured 8 and 10 times, respectively for each season. A Gompertz model characterized ground cover until the decay observed after frosts, while biomass was fitted to Gompertz, logistic and linear-exponential equations. At the end of the experiment C, N, and fiber (neutral detergent, acid and lignin) contents, and the N fixed by the legumes were determined. Multicriteria decision analysis (MCDA) was applied in order to rank the species and cultivars according to their suitability to perform as cover crops in four different modalities: cover crop, catch crop, green manure and fodder. Intercropping legumes and non-legumes may affect the root growth and N uptake of both components in the mixture. The knowledge of how specific root systems affect the growth of the individual species is useful for understanding the interactions in intercrops as well as for planning cover cropping strategies. In a third trial rhizotron studies were combined with root extraction and species identification by microscopy and with studies of growth, N uptake and 15N uptake from deeper soil layers. The root interactions of root growth and N foraging were studied for two of the best ranked cultivars in the previous study: a barley (Hordeum vulgare L. cv. Hispanic) and a vetch (Vicia sativa L. cv. Aitana). N was added at 0 (N0), 50 (N1) and 150 (N2) kg N ha-1. As a result, linear and quadratic models fitted to the relationship between the GC and LAI for all of the crops, but they reached a plateau in the grass when the LAI > 4. Before reaching full cover, the slope of the linear relationship between both variables was within the range of 0.025 to 0.030. The LAI-2000 readings were linearly correlated with the LAI but they tended to overestimation. Corrections based on the clumping effect reduced the root mean square error of the estimated LAI from the LAI-2000 readings from 1.2 to less than 0.50 for the crucifer and the legume, but were not effective for barley. This determined that in the following studies only the GC and biomass were measured. In the second experiment, the grasses reached the highest ground cover (83- 99%) and biomass (1226-1928 g/m2) at the end of the experiment. The grasses had the highest C/N ratio (27-39) and dietary fiber (53-60%) and the lowest residue quality (~68%). The mustard presented high GC, biomass and N uptake in the warmer year with similarity to grasses, but low fodder capability in both years. The vetch presented the lowest N uptake (2.4-0.7 g N/m2) due to N fixation (9.8-1.6 g N/m2) and low biomass accumulation. The thermal time until reaching 30% ground cover was a good indicator of early coverage species. Variable quantification allowed finding variability among the species and provided information for further decisions involving cover crops selection and management. Aggregation of these variables through utility functions allowed ranking species and cultivars for each usage. Grasses were the most suitable for the cover crop, catch crop and fodder uses, while the vetches were the best as green manures. The mustard attained high ranks as cover and catch crop the first season, but the second decayed due to low performance in cold winters. Hispanic was the most suitable barley cultivar as cover and catch crop, and Albacete as fodder. The triticale Titania attained the highest rank as cover and catch crop and fodder. Vetches Aitana and BGE014897 showed good aptitudes as green manures and catch crops. MCDA allowed comparison among species and cultivars and might provide relevant information for cover crops selection and management. In the rhizotron study the intercrop and the barley attained slightly higher root intensity (RI) and root depth (RD) than the vetch, with values around 150 crosses m-1 and 1.4 m respectively, compared to 50 crosses m-1 and 0.9 m for the vetch. At deep soil layers, intercropping showed slightly larger RI values compared to the sole cropped barley. The barley and the intercropping had larger root length density (RLD) values (200-600 m m-3) than the vetch (25-130) at 0.8-1.2 m depth. The topsoil N supply did not show a clear effect on the RI, RD or RLD; however increasing topsoil N favored the proliferation of vetch roots in the intercropping at deep soil layers, with the barley/vetch root ratio ranging from 25 at N0 to 5 at N2. The N uptake of the barley was enhanced in the intercropping at the expense of the vetch (from ~100 mg plant-1 to 200). The intercropped barley roots took up more labeled nitrogen (0.6 mg 15N plant-1) than the sole-cropped barley roots (0.3 mg 15N plant-1) from deep layers.

Respuestas anatómico fisiológicas frente a estrés hídrico en plantaciones de especies de crecimiento rápido para la producción de biomasa

El objetivo general de la presente Tesis es identificar algunas de las características anatómico-fisiológicas que confieren la capacidad de alcanzar una mejor productividad bajo clima mediterráneo a plantas de diversos genotipos de los géneros Populus y Eucalyptus, caracterizados por su carácter pionero, elevado crecimiento y vulnerabilidad a la cavitación. En los dos primeros capítulos se hace un seguimiento de la conductancia estomática a una selección de clones de eucalipto cultivados en invernadero, sometidos a diferentes dotaciones hídricas. Se realizaron además mediciones periódicas del pH de la savia del tallo y de la pérdida de conductividad hidráulica para investigar su implicación en la regulación química e hidraúlica del cierre estomático. Las variaciones en el pH de la savia obtenidas parecen responder a cambios en el déficit de presión de vapor de agua atmosférico y no a diferencias en la disponibilidad de agua en el suelo. La conductancia estomática presentó una correlación positiva significativa con el pH de la savia, pero no con la conductividad hidráulica. La variabilidad de la conductividad hidráulica máxima se discute a la luz de recientes investigaciones sobre los materiales constituyentes de las membranas de las punteaduras. Los clones que mostraron mayores conductancias hidráulicas y estomáticas presentaron valores más altos de producción y supervivencia, poniendo de manifiesto la utilidad del estudio de estas variables. Por el contrario, los valores más bajos de conductancia estomática e hidraúlica se encontraron en clones que han resultado un fracaso en plantaciones comerciales, en particular, fue destacable el mal resultado de un clon procedente de autocruzamiento respecto de otros híbridos. En el tercer capítulo de la tesis se estudian características anatómicas y funcionales del xilema relacionadas con la eficiencia en el transporte de agua a las hojas, y que pueden afectar directa o indirectamente a la transpiración y al crecimiento. Los estudios anatómicos fueron realizados sobre brotes anuales de chopo en una plantación situada en Granada, en condiciones de riego limitante. La combinación de rasgos anatómicos más favorable de cara a la producción de biomasa fue una densidad alta de vasos de diámetro intermedio. Los clones más productivos figuraron entre los más resistentes a la cavitación. Para estudiar el crecimiento de masas arboladas se utilizan frecuentemente parámetros fisiológicos como el índice de area foliar (LAI). La estimación del LAI a partir de fotografías hemisféricas aplicada a tallares de chopo plantados a alta densidad y a turno corto para biomasa se lleva a cabo mediante una metodología reciente empleada y discutida en el cuarto capítulo de la Tesis. Los resultados muestran que las diferencias de producción existentes entre genotipos, localidades de medición con diferentes dosis de riego, y años, pueden predecirse a partir de la determinación del índice de área foliar tanto por métodos directos como indirectos de estimación. Tanto los estudios realizados en eucalipto como en chopo han mostrado que los genotipos con menores producciones de biomasa en campo alcanzaron los menores valores de conductancia estomática en las condiciones más favorables así como el menor número de vasos en el xilema. La estrecha relación entre crecimiento y LAI confirma una vez más la importancia del desarrollo de la copa para sostener un buen crecimiento. El mayor desarrollo de la copa y rendimiento en biomasa se midieron en uno de los clones con un número de vasos más elevado, y menor vulnerabilidad a la cavitación en condiciones de estrés. Estos resultados ponen de manifiesto la importancia de las características anatómicas y funcionales del xilema como condicionantes del patrón de crecimiento de las plantas y el comportamiento de los estomas. ABSTRACT A number of anatomical xylem traits and physiological variables were analyzed in genotypes of both the Populus and Eucalyptus genera with the main aim of identifying traits in the genotypes which confer the ability to produce an acceptable biomass yield under Mediterranean climatic conditions. In the first two chapters of this PhD, the results of two experiments carried out on several clones of the species Eucalyptus globulus Labill. are presented. Chapters three and four include the results of another two trials on four poplar hybrid genotypes. One of the initial plant responses to water stress is stomatal closure, which can be triggered by hydraulic and/or chemical signals. The two first chapters of this PhD deal with trials in which stomatal conductance and percentage loss of hydraulic conductivity were monitored on a set of eucalyptus clones supplied by ENCE (former National Cellulose Company) and currently used in the company’s own commercial plantings. The experimental trials were carried out in greenhouses and the plants were submitted to two different watering regimes. The pH of the stem sap was periodically measured as the greenhouse temperature and humidity changed. The aim of these measurements was to investigate the role of both sap pH and percentage loss of hydraulic conductivity on stomatal regulation. The results obtained suggest that changes in sap pH are a response to vapor pressure deficit changes rather than to differences in soil water availability. We found significant correlation between stomatal conductance and sap pH, although no significant relationship was found between stomatal conductance and hydraulic conductivity. Variability in maximum hydraulic conductivity is discussed based on recent pit membrane constituent research. The study of hydraulic conductivity proved helpful in order to detect the clones with both higher growth and greater chance of survival, since clones displaying the lowest hydraulic conductivities were those that failed in commercial plantings. Anatomical xylem traits define the water transport efficiency to leaves and can therefore limit transpiration and growth. The third chapter of this PhD addresses anatomical xylem traits in poplar. One year old stem samples were taken from a water-stressed trial in Granada. The anatomical xylem study proved useful for detecting the lowest yielding genotypes. Clones with intermediate vessel size and high vessel densities were found to be those with the highest biomass yield. Differences in cavitation resistance depending on the clone tested and the water treatment applied were also found. The clones with the highest biomass yield were found to be among the most cavitation resistant clones in each watering regime. Xylem and physiological traits along with stomatal behavior are useful tools to determine plant growth. In order to study plantings or forests, it is more common to employ other physiological variables such as leaf area index (LAI). LAI estimation from hemispherical photographs applied to short rotation woody crops is a recently developed method that still requires fine tuning through further investigation. In the fourth chapter, data from LAI monitoring over two consecutive years were analyzed in two different locations where different irrigation treatments were applied. The results showed that differences in yield between genotypes, different irrigation regimes and years could be predicted by using the LAI estimates, either through direct or indirect estimation methods. Our studies of poplar and eucalyptus have shown that the field-grown genotypes with the lowest biomass yield displayed the lowest values of stomatal conductance under the most favorable environmental conditions and also had a low number of xylem conduits. The close relationship between LAI and growth highlights the importance of crown development in biomass growth. The highest LAI and biomass yield were recorded in one of the clones with higher vessel density and the lowest vulnerability to cavitation under stress conditions. These results underline the importance of research into anatomical and functional traits as factors influencing plant growth patterns and stomatal behavior.

Evaluación de Ulmus pumila L. y Populus spp. como cultivos energéticos en corta rotación

El presente trabajo estudia el empleo del olmo de Siberia (Ulmus Pumila L.) y el chopo (Populus spp.) en corta rotación y alta densidad para la producción de biomasa con fines energéticos. En el área mediterránea las disponibilidades hídricas son limitadas, por lo que la mayoría de los cultivos energéticos utilizados hasta el momento requieren el aporte de agua de riego; por ello resulta fundamental encontrar especies con bajos requerimientos hídricos, analizar la eficiencia en el uso del agua de diferentes materiales genéticos y optimizar la dosis de riego. Las parcelas experimentales se ubicaron en la provincia de Soria. En el ensayo llevado a cabo con olmo de Siberia se ha analizado el efecto en la producción de la disponibilidad de agua mediante el establecimiento de parcelas en secano y con dos dosis de riego (2000 m3 ha-1 año-1 y 4000 m3 ha-1 año-1 aproximadamente); además, al ser una especie poco estudiada hasta el momento, se ha estudiado también el efecto que tiene sobre el rendimiento la densidad de plantación (3.333 plantas ha-1 y 6.666 plantas ha-1), el tipo de suelo (2 calidades diferentes) y el turno de corta (3 y 4 años). En el caso del chopo, se han evaluado cuatro clones (AF-2, I-214, Monviso y Pegaso) establecidos con una densidad de 20.000 plantas por hectárea. Durante el primer ciclo de tres años se aportó el mismo volumen de riego a todas las parcelas, mientras que durante el segundo ciclo se establecieron 8 regímenes hídricos diferentes. Por otra parte, se ha investigado sobre el uso del potencial hídrico de las plantas para evaluar el estrés hídrico de las mismas y se ha estimado la producción de biomasa foliar y el Índice de Área Foliar (LAI) de ambas especies, relacionando los valores obtenidos con la dosis de riego y la producción de biomasa. Los resultados muestran que los suelos inundados reducen la tasa de supervivencia de los olmos durante el periodo de implantación, sin embargo la mortalidad durante los siguientes periodos vegetativos es baja y muestra buena capacidad de rebrote. La productividad (kg ha-1 año-1) obtenida fue mayor con un turno de corta de cuatro años que con turno de tres años. El área basal y la altura fueron variables eficaces para predecir la producción de biomasa del olmo de Siberia, obteniendo una variabilidad explicada de más del 80%. En cuanto a los parámetros que mayor influencia tuvieron sobre el crecimiento, el tipo de suelo resulto ser el más relevante, obteniéndose en un suelo agrícola considerado de buena calidad una producción en condiciones de secano de unos 8.000 kg ha-1 año-1. En condiciones de regadío el rendimiento del olmo de Siberia fue al menos el doble que en secano, pero la diferencia entre las dos dosis de riego estudiadas fue pequeña. La producción de biomasa fue mayor en la densidad de plantación más alta (6.666 plantas ha–1) en las parcelas de regadío, sin embargo no se encontraron diferencias significativas entre las dos densidades en secano. El clon de chopo que presentó un mayor rendimiento durante el primer ciclo fue AF-2, alcanzando los 14.000 kg ha-1 año-1, sin embargo la producción de este clon bajó sustancialmente durante el segundo ciclo debido a su mala capacidad de rebrote, pasando a ser I-214 el clon más productivo llegando también a los 14.000 kg ha-1 año-1. Un aporte adicional de agua proporcionó un incremento de la biomasa recogida, pero a partir de unos 6.500 m3 ha-1 año-1 de agua la producción se mantiene constante. El potencial hídrico foliar ha resultado ser una herramienta útil para conocer el estrés hídrico de las plantas. Los olmos de regadío apenas sufrieron estrés hídrico, mientras que los implantados en condiciones de secano padecieron un acusado estrés durante buena parte del periodo vegetativo, que se acentuó en la parte final del mismo. Los chopos regados con las dosis más altas no sufrieron estrés hídrico o fue muy pequeño, en las dosis intermedias sufrieron un estrés moderado ocasionalmente y únicamente en las dosis más bajas sufrieron puntualmente un estrés severo. El LAI aumenta con la edad de los brotes y oscila entre 2 y 4 m2 m−2 en los chopos y entre 2 y 7 m2 m−2 en los olmos. Se encontró una buena relación entre este índice y la producción de biomasa del olmo de Siberia. En general, puede decirse que el olmo de Siberia podría ser una buena alternativa para producir biomasa leñosa en condiciones de secano, mientras que el chopo podría emplearse en regadío siempre que se haga una buena elección del clon y de la dosis de riego. ABSTRACT This work explores the possibilities of biomass production, for energy purposes, of Siberian elm (Ulmus Pumila L.) and poplar (Populus spp.) in Spain. Irrigation is required for the viable cultivation of many energy crops in Mediterranean areas because of low water availability, for this reason species with low water requirements should be a good alternative for biomass production. Moreover, the optimal amount of irrigation water and the performance of the different genetic material in terms of production and water use efficiency should be studied in order to use water wisely. The experimental plots were established in the province of Soria in Spain. Given the small amount of information available about Siberian elm, besides studying the influence of water availability (rain-fed and two different irrigation doses) on biomass production, two different plantation densities (3,333 plants ha-1 and 6,666 plants ha-1), two different soil type and two cutting cycles (three years and four years) were assessed. In the case of poplar, four clones belonging to different hybrids (I-214, AF2, Pegaso, and Monviso) were included in a high density plantation (20,000 plants ha-1). During the first cycle, the water supplied in all plots was the same, while 8 different watering regimes were used during the second cycle. The suitability of the use of the leaf water potential to assess the water stress situations has also been investigated. Moreover, leaf biomass production and leaf area index (LAI) were estimated in both species in order to analyze the relationship between these parameters, irrigation dose and biomass production. The results shows that flooded soils have an adverse effect on elm survival in the implantation period, but the percentage of mortality is very low during the following vegetative periods and it shows a good ability of regrowth. The annual yield from a four-year cutting cycle was significantly greater than that from the three-year cutting cycle. Basal diameter and height are effective variables for predicting the production of total biomass; equations with R squared higher than 80% were obtained. The analysis of parameters having an influence on elm growth shows that soil type is the most important factor to obtain a good yield. In soils with enough nutrients and higher waterholding capacity, biomass productions of 8,000 kg ha-1 yr-1 were achieved even under rain-fed conditions. In irrigated plots, Siberian elm production was double than the production of biomass under rain-fed conditions; however, small differences were obtained between the 2 different irrigation doses under study. Biomass yield was greater for the highest planting density (6,666 plants ha–1) in irrigated plots, but significant differences were not found between the 2 densities in rain-fed plots. The clone AF-2 showed the highest production (14,000 kg ha-1 yr-1) during the first cycle, however during the second cycle its growth was lower because of a high mortality rate after regrowth and I-214 achieves the greatest production (14,000 kg ha-1 yr-1). An additional water supply provided a greater amount of biomass, but over about 6500 m3 ha-1 yr-1 of water the production is constant. Leaf water potential has been shown to be a useful tool for finding out plant water status. Irrigated elms hardly suffered water stress, while rain-fed elms suffered a pronounced water stress, which was more marked at the end of the vegetative period. Most of poplars did not show water stress; leaf water potentials only showed an important water stress in the plots irrigated with the lowest doses. LAI increases with shoot age and it ranges from 2 to 4 m2 m−2 in poplars and from 2 to 7 m2 m−2 in elms. A good relationship has been found between this index and Siberian elm production. In general, Siberian elm could be a good alternative to produce woody biomass in rainfed plots, while poplar could be used in irrigated plots if a suitable clone and irrigation dose are chosen.

Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions

The aim of this research was to implement a methodology through the generation of a supervised classifier based on the Mahalanobis distance to characterize the grapevine canopy and assess leaf area and yield using RGB images. The method automatically processes sets of images, and calculates the areas (number of pixels) corresponding to seven different classes (Grapes, Wood, Background, and four classes of Leaf, of increasing leaf age). Each one is initialized by the user, who selects a set of representative pixels for every class in order to induce the clustering around them. The proposed methodology was evaluated with 70 grapevine (V. vinifera L. cv. Tempranillo) images, acquired in a commercial vineyard located in La Rioja (Spain), after several defoliation and de-fruiting events on 10 vines, with a conventional RGB camera and no artificial illumination. The segmentation results showed a performance of 92% for leaves and 98% for clusters, and allowed to assess the grapevine’s leaf area and yield with R2 values of 0.81 (p < 0.001) and 0.73 (p = 0.002), respectively. This methodology, which operates with a simple image acquisition setup and guarantees the right number and kind of pixel classes, has shown to be suitable and robust enough to provide valuable information for vineyard management.

Impact of nitrogen uptake on field water balance in fertirrigated melon.

Agronomic management in Ciudad Real, a province in central Spain, is characteristic of semi-arid cropped areas whose water supplies have high nitrate (NO3?) content due to environmental degradation. This situation is aggravated by the existence of a restrictive subsurface layer of ?caliche? or hardpan at a depth of 0.60 m. Under these circumstances, fertirrigation rates, including nitrogen (N) fertilizer schedules, must be carefully calibrated to optimize melon yields while minimizing the N pollution and water supply. Such optimization was sought by fertilizing with different doses of N and irrigating at 100% of the ETc (crop evapotranspiration), adjusted for this crop and area. The N content in the four fertilizer doses used was: 0, 55, 82 and 109 kg N ha?1. Due to the NO3? content in the irrigation water, however, the actual N content was 30 kg ha?1 higher in all four treatments repeated in two different years. The results showed correlation between melon plant N uptake and drainage (Dr), which in turn affects the amount of N leached, as well as correlation between Dr and LAI (leaf area index) for each treatment. A fertilizer factor (?) was estimated through two methods, from difference in Dr and in LAI ratio with respect to the maximum N dose, to correct ETc based on N doses. The difference was found in the adjusted evapotranspiration in both years using the corresponding ? achieved 42?49 mm at vegetative period, depending on the method, and it was not significant at senescent period. Finally, a growth curve between N uptake and plant dry weight (DW) for each treatment was defined to confirm that the observed higher plant vigour, showing higher LAI and reduced Dr, was due mainly to higher N doses.

CSM-IXIM: A New Maize Simulation Model for DSSAT Version 4.5

Th e CERES-Maize model is the most widely used maize (Zea mays L.) model and is a recognized reference for comparing new developments in maize growth, development, and yield simulation. Th e objective of this study was to present and evaluate CSMIXIM, a new maize simulation model for DSSAT version 4.5. Code from CSM-CERES-Maize, the modular version of the model, was modifi ed to include a number of model improvements. Model enhancements included the simulation of leaf area, C assimilation and partitioning, ear growth, kernel number, grain yield, and plant N acquisition and distribution. Th e addition of two genetic coeffi cients to simulate per-leaf foliar surface produced 32% smaller root mean square error (RMSE) values estimating leaf area index than did CSM-CERES. Grain yield and total shoot biomass were correctly simulated by both models. Carbon partitioning, however, showed diff erences. Th e CSM-IXIM model simulated leaf mass more accurately, reducing the CSM-CERES error by 44%, but overestimated stem mass, especially aft er stress, resulting in similar average RMSE values as CSM-CERES. Excessive N uptake aft er fertilization events as simulated by CSM-CERES was also corrected, reducing the error by 16%. Th e accuracy of N distribution to stems was improved by 68%. Th ese improvements in CSM-IXIM provided a stable basis for more precise simulation of maize canopy growth and yield and a framework for continuing future model developments

Modelling agro-forestry scenarios for ammonia abatement in the landscape

Ammonia emissions from livestock production can have negative impacts on nearby protected sites and ecosystems that are sensitive to eutrophication and acidification. Trees are effective scavengers of both gaseous and particulate pollutants from the atmosphere making tree belts potentially effective landscape features to support strategies aiming to reduce ammonia impacts. This research used the MODDAS-THETIS a coupled turbulence and deposition turbulence model, to examine the relationships between tree canopy structure and ammonia capture for three source types?animal housing, slurry lagoon, and livestock under a tree canopy. By altering the canopy length, leaf area index, leaf area density, and height of the canopy in the model the capture efficiencies varied substantially. A maximum of 27% of the emitted ammonia was captured by tree canopy for the animal housing source, for the slurry lagoon the maximum was 19%, while the livestock under trees attained a maximum of 60% recapture. Using agro-forestry systems of differing tree structures near ?hot spots? of ammonia in the landscape could provide an effective abatement option for the livestock industry that complements existing source reduction measures.

Testing of crop Models for Accurate Predictions of Evapotranspiration and crop Water Use

All crop models, whether site-specific or global-gridded and regardless of crop, simulate daily crop transpiration and soil evaporation during the crop life cycle, resulting in seasonal crop water use. Modelers use several methods for predicting daily potential evapotranspiration (ET), including FAO-56, Penman-Monteith, Priestley-Taylor, Hargreaves, full energy balance, and transpiration water efficiency. They use extinction equations to partition energy to soil evaporation or transpiration, depending on leaf area index. Most models simulate soil water balance and soil-root water supply for transpiration, and limit transpiration if water uptake is insufficient, and thereafter reduce dry matter production. Comparisons among multiple crop and global gridded models in the Agricultural Model Intercomparison and Improvement Project (AgMIP) show surprisingly large differences in simulated ET and crop water use for the same climatic conditions. Model intercomparisons alone are not enough to know which approaches are correct. There is an urgent need to test these models against field-observed data on ET and crop water use. It is important to test various ET modules/equations in a model platform where other aspects such as soil water balance and rooting are held constant, to avoid compensation caused by other parts of models. The CSM-CROPGRO model in DSSAT already has ET equations for Priestley-Taylor, Penman-FAO-24, Penman-Monteith-FAO-56, and an hourly energy balance approach. In this work, we added transpiration-efficiency modules to DSSAT and AgMaize models and tested the various ET equations against available data on ET, soil water balance, and season-long crop water use of soybean, fababean, maize, and other crops where runoff and deep percolation were known or zero. The different ET modules created considerable differences in predicted ET, growth, and yield.

Importance of canopy porosity into vineyard and the relationship with the grape maturity. Digital estimation method

In warm and dry climates, the use of porous systems should be required in order to allow a better leaf distribution inside the plant, causing more space in the clusters area and enhancing determined physiological processes so in the leaf (photosynthesis, v entilation, transpiration) as in berry (growth and maturation). Plant geometry indexes, yield and must composition have been studied in three different systems: sprawl with 12 shoots/m (S1); sprawl system with 18 shoots/m (S2) and vertical positioned syste m or VSP with 12 shoots/m (VSP1). Total leaf area increases as the crop load does, whoever surface area depends on to two factors: crop load and the training system (VSP vs. sprawl), which can provide differences in leaf exposure efficiencies. The main objective of this study was to validate digital photography measurements used to compare porosity differences among treatments and, as they affect plant microclimate and, therefore, yield and berry quality. Also, all previous studied indexes (LAI, SA, SFEr) tended to overestimate the relationship between exposed leaf surface and porosity of each treatment, but the use of digital method proved to be an effective tool in order to assess canopy porosity. Results showed that not positioned and free systems (sprawl) scored between 25- 50% more porosity in the clusters area than the fixed vertical system (VSP), which resulted in a better plant microclimate for test conditions, mainly by improving the exposure of internal clusters and internal canopy ventilation. On the other hand, higher crop load treatment (S2) showed a real increase in yield (16%) without any relevant change into must composition, even improving total anthocyanin content into berry during ripening

Importance of canopy porosity into vineyard and the relationship with the grape maturity. Digital estimation method

In warm and dry climates, the use of porous systems should be required in order to allow a better leaf distribution inside the plant, causing more space in the clusters area and enhancing determined physiological processes so in the leaf (photosynthesis, ventilation, transpiration) as in berry (growth and maturation). Plant geometry indexes, yield and must composition have been studied in three different systems: sprawl with 12 shoots/m (S1); sprawl system with 18 shoots/m (S2) and vertical positioned system or VSP with 12 shoots/m (VSP1). Total leaf area increases as the crop load does, whoever surface area depends on to two factors: crop load and the training system (VSP vs . sprawl), which can provide differences in leaf exposure efficiencies. The main objective of this study was to validate digital photography measurements used to compare porosity differences among treatments and, as they affect plant microclimate and, therefore, yield and berry quality. Also, all previous studied indexes (LAI, SA, SFEr) tended to overestimate the relationship between exposed leaf surface and porosity of each treatment, but the use of digital method proved to be an effective tool in order to assess canopy porosity. Results showed that not positioned and free systems (sprawl) scored between 25 - 50% more porosity in the clusters area than the fixed vertical system (VSP), which resulted in a better plant microclimate for test conditions, mainly by improving the exposure of internal clusters and internal canopy ventilation. On the other hand, higher crop load treatment (S2) showed a real increase in yield (16%) without any relevant change into must composition, even improving total anthocyanin content into berry during ripening