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.

Water and nitrogen footprint in an irrigated crop under mineral and organic fertilization

In order to establish rational nitrogen (N) application and reduce groundwater contamination, a clearer understanding of the N distribution through the growing season and its balance is crucial. Excessive doses of N and/or water applied to fertigated crops involve a substantial risk of aquifer contamination by nitrate; but knowledge of N cycling and availability within the soil could assist in avoiding this excess. In central Spain, the main horticultural fertigated crop is the melon type ?piel de sapo¿ and it is cultivated in vulnerable zones to nitrate pollution (Directive 91/676/CEE). However, until few years ago there were not antecedents related to the optimization of nitrogen fertilization together with irrigation. Water and N footprint are indicators that allow assessing the impact generated by different agricultural practices, so they can be used to improve the management strategies in fertigated crop systems. The water footprint distinguishes between blue water (sources of water applied to the crop, like irrigation and precipitation), green water (water used by the crop and stored in the soil), and it is furthermore possible to quantify the impact of pollution by calculating the grey water, which is defined as the volume of polluted water created from the growing and production of crops. On the other hand, the N footprint considers green N (nitrogen consumed by the crops and stored in the soil), blue N (N available for crop, like N applied with mineral and/or organic fertilizers, N applied with irrigation water and N mineralized during the crop period), whereas grey N is the amount of N-NO3- washed from the soil to the aquifer. All these components are expressed as the ratio between the components of water or N footprint and the yield (m3 t-1 or kg N t-1 respectively). The objetives of this work were to evaluate the impact derivated from the use of different fertilizer practices in a melon crop using water and N footprint.

Depth-based face recognition using local quantized patterns adapted for range data

A depth-based face recognition algorithm specially adapted to high range resolution data acquired by the new Microsoft Kinect 2 sensor is presented. A novel descriptor called Depth Local Quantized Pattern descriptor has been designed to make use of the extended range resolution of the new sensor. This descriptor is a substantial modification of the popular Local Binary Pattern algorithm. One of the main contributions is the introduction of a quantification step, increasing its capacity to distinguish different depth patterns. The proposed descriptor has been used to train and test a Support Vector Machine classifier, which has proven to be able to accurately recognize different people faces from a wide range of poses. In addition, a new depth-based face database acquired by the new Kinect 2 sensor have been created and made public to evaluate the proposed face recognition system.

Selecting crop models for decision making in wheat insurance

In crop insurance, the accuracy with which the insurer quantifies the actual risk is highly dependent on the availability on actual yield data. Crop models might be valuable tools to generate data on expected yields for risk assessment when no historical records are available. However, selecting a crop model for a specific objective, location and implementation scale is a difficult task. A look inside the different crop and soil modules to understand how outputs are obtained might facilitate model choice. The objectives of this paper were (i) to assess the usefulness of crop models to be used within a crop insurance analysis and design and (ii) to select the most suitable crop model for drought risk assessment in semi-arid regions in Spain. For that purpose first, a pre-selection of crop models simulating wheat yield under rainfed growing conditions at the field scale was made, and second, four selected models (Aquacrop, CERES- Wheat, CropSyst and WOFOST) were compared in terms of modelling approaches, process descriptions and model outputs. Outputs of the four models for the simulation of winter wheat growth are comparable when water is not limiting, but differences are larger when simulating yields under rainfed conditions. These differences in rainfed yields are mainly related to the dissimilar simulated soil water availability and the assumed linkages with dry matter formation. We concluded that for the simulation of winter wheat growth at field scale in such semi-arid conditions, CERES-Wheat and CropSyst are preferred. WOFOST is a satisfactory compromise between data availability and complexity when detail data on soil is limited. Aquacrop integrates physiological processes in some representative parameters, thus diminishing the number of input parameters, what is seen as an advantage when observed data is scarce. However, the high sensitivity of this model to low water availability limits its use in the region considered. Contrary to the use of ensembles of crop models, we endorse that efforts be concentrated on selecting or rebuilding a model that includes approaches that better describe the agronomic conditions of the regions in which they will be applied. The use of such complex methodologies as crop models is associated with numerous sources of uncertainty, although these models are the best tools available to get insight in these complex agronomic systems.

Effects of a bifenthrin-treated net on the natural enemies Aphidius colemani (Haliday) and Adalia bipunctata L. in a cucumber crop in Central Spain. Semi-field experiments

Pest management practices that rely on pesticides are growing increasingly less effective and environmentally inappropriate in many cases and the search of alternatives is under focus nowadays. Exclusion of pests from the crop by means of pesticide-treated screens can be an eco-friendly method to protect crops, especially if pests are vectors of important diseases. The mesh size of nets is crucial to determine if insects can eventually cross the barrier or exclude them because there is a great variation in insect size depending on the species. Long-lasting insecticide-treated (LLITN) nets, factory pre-treated, have been used since years to fight against mosquitoes vector of malaria and are able to retain their biological efficacy under field for 3 years. In agriculture, treated nets with different insecticides have shown efficacy in controlling some insects and mites, so they seem to be a good tool in helping to solve some pest problems. However, treated nets must be carefully evaluated because can diminish air flow, increase temperature and humidity and decrease light transmission, which may affect plant growth, pests and natural enemies. As biological control is considered a key factor in IPM nowadays, the potential negative effects of treated nets on natural enemies need to be studied carefully. In this work, the effects of a bifentrhin-treated net (3 g/Kg) (supplied by the company Intelligent Insect Control, IIC) on natural enemies of aphids were tested on a cucumber crop in Central Spain in autumn 2011. The crop was sown in 8x6.5 m tunnels divided in 2 sealed compartments with control or treated nets, which were simple yellow netting with 25 mesh (10 x 10 threads/cm2; 1 x 1 mm hole size). Pieces of 2 m high of the treated-net were placed along the lateral sides of one of the two tunnel compartments in each of the 3 available tunnels (replicates); the rest was covered by a commercial untreated net of a similar mesh. The pest, Aphis gossypii Glover (Aphidae), the parasitoid Aphidius colemani (Haliday) (Braconidae) and the predator Adalia bipunctata L. (Coccinellidae) were artificially introduced in the crop. Weekly sampling was done determining the presence or absence of the pest and the natural enemies (NE) in the 42 plants/compartment as well as the number of insects in 11 marked plants. Environmental conditions (temperature, relative humidity, UV and PAR radiation) were recorded. Results show that when aphids were artificially released inside the tunnels, neither its number/plant nor their distribution was affected by the treated net. A lack of negative effect of the insecticide-treated net on natural enemies was also observed. Adalia bipunctata did not establish in the crop and only a short term control of aphids was observed one week after release. On the other hand, A. colemani did establish in the crop and a more long-term effect on the numbers of aphids/plant was detected irrespective of the type of net. KEY WORDS: bifenthrin-treated net, Adalia bipunctata, Aphidius colemani, Aphis gossypii, semi-field

Posibilidades de cultivo de nuevas especies marinas en el área mediterránea

La acuicultura, el cultivo y cría de animales y plantas acuáticas, representa en la actualidad una fuente esencial de proteína animal y vegetal altamente saludable y nutritiva, proporcionando un sistema de vida y de ingresos en todo el mundo. La acuicultura además de ser un motor para el desarrollo social y económico de las áreas costeras marinas y fluviales mundiales, supone en muchas regiones subdesarrolladas una garantía de alimento de alta calidad y es clave en la seguridad alimentaria de sus poblaciones. El desarrollo de la acuicultura se ha realizado fundamentalmente en los últimos 50 años, y ha sido sobre todo en la década de los años 80, cuando la acuicultura ha experimentado un fuerte crecimiento con tasas anuales que superan el 6%. Con el estancamiento de la producción pesquera y el incremento de la población mundial, la acuicultura se presenta como la única fuente posible de suministro de proteínas (vegetales y animales) de alta calidad, ricas en aceites omega 3 (EPA y DHA) de origen acuático. En la actualidad la producción procedente de la acuicultura supera los 95 millones de toneladas anuales, siendo ligeramente superior a los 94 millones de toneladas anuales provenientes de la pesca extractiva. De este total mundial acuícola, la producción asiática representa el 89%, mientras que la europea el 4,2% Aunque el 46% de la producción mundial acuícola se concentra únicamente en solo 10 especies, una de las principales características de la acuicultura es la gran diversidad de especies cultivadas, más de 500, realizándose su cría bajo diferentes tecnologías y sistemas productivos. El ámbito de esta tesis, es únicamente la acuicultura marina que se desarrolla en las aguas del mar mediterráneo, indistintamente de los sistemas y tecnología de producción utilizados. Los principales grupos de cultivo que se realizan en las aguas del Mediterráneo son los moluscos y los peces, siendo muy escasos los cultivos de otros grupos como crustáceos y macroalgas. La piscicultura marina mediterránea está dominada por el cultivo en jaulas flotantes de dos especies, la dorada (Sparus auratus) y la lubina (Dicentrarchus labrax). Estas dos especies y tras 30 años de experiencia de cultivo, mantienen todavía una ineficiencia productiva alta (reducida selección genética, lento crecimiento hasta talla comercial, alto factor de conversón del pienso…) y además ocupan un estrecho nicho de mercado, ya que prácticamente toda la comercialización de la dorada y lubina se realiza en fresco y sin elaborar ni transformar, a una talla media de 500 g. Para dar respuesta desde la acuicultura mediterránea al alto consumo y a la creciente demanda que en la Unión Europea existe de los productos acuícolas, y en especial los productos elaborados y transformados, es necesario de manera urgente, un aumento de la producción de las especies ya cultivadas (dorada y lubina) mediante la mejora de su eficiencia productiva, al mismo tiempo que se debe iniciar la producción industrial de nuevas especies piscícolas, mediante la diversificación de los cultivos. Para llevar a cabo esta diversificación, se hace necesario el establecimiento de una metodología clara, que asegure una selección de especies apropiadas y rentables para la industria acuícola mediterránea, cuyo cultivo sostenible debiera cumplir con los desafíos que el sector tiene. Nuevas especies que complementen y cubran las demandas actuales y futuras del mercado Europeo e Internacional de productos acuícolas. Nuevas especies con parámetros productivos eficientes, que garanticen unos costes productivos competitivos. Nuevas especies que puedan ser cultivadas utilizando como base la tecnología de producción ya existente en el sector. El objetivo de esta tesis es la definición y desarrollo de una metodología sencilla para la selección de nuevas especies piscícolas marinas para su cultivo eficiente y sostenible Y bajo la aplicación de esta metodología, la selección de un grupo de especies piscícolas para su cultivo rentable a corto y medio plazo (6-8 años) en el Mediterráneo. Para ello se ha definido y aplicado una metodología con la que se han evaluado diez especies candidatas, previamente escogidas de una serie de listas previas originadas en los distintos estudios y trabajos de diversificación realizados con anterioridad por otros equipos de investigación. Estas especies candidatas han sido: Seriola dumerili. (Seriola) , Argyrosomus regius (Corvina), Polyprion americanus (Cherna), Ephinephelus marginatus (Mero), Dentex dentex (Dentón), Pagrus pagrus (Pargo), Solea senegalensis (Lenguado del Senegal), Thunnus thynnus (Atún rojo), Mugil cephalus (Lisa), Coryphaena hippurus (Lampuga). El conjunto de estas especies ocupa un amplio y variado espectro dentro de las distintas áreas de mercado, productiva, tecnológica, y medioambiental . Y en todas ellas existe una experiencia mínima en sus diferentes fases de cultivo. En el desarrollo de la metodología de selección, en esta tesis se han definido diversos parámetros de evaluación, considerados como los más significativos y sencillos de aplicar. Los parámetros se han agrupado en tres bloques, el comercial, el productivo y el medioambiental. El Bloque de Mercado, comprende aquellos criterios que están relacionados con la comercialización de la especie. Calidad de la carne del pescado. Competencia con otras especies en el mercado. Potencial de Transformado. Precio de venta del pescado. El bloque Medioambiental incluye criterios del grado de idoneidad de la especie en la región y del grado de impacto ambiental de su cultivo. Rango de temperaturas del agua óptimo para el cultivo. Potencial impacto ambiental de su cultivo. Eslabón trófico de la especie.. El bloque Productivo, engloba los criterios y parámetros relacionados con el nivel de conocimiento y control que sobre su cultivo existen ( larvario, engorde, tecnología) Grado de control de la fase larvaria. Disponibilidad de alevines en el sector Crecimiento. Factor de conversión Aprovechamiento de la capacidad productiva instalada, Coste de inversión. Previa a la evaluación se han descrito las principales características de las especies candidatas en función del estado y experiencia actual sus cultivos. En la aplicación de estos criterios se han establecido matrices de evaluación y a cada criterio se le ha asignado un valor diferente en función de sus características y propiedades selectivas. Los resultados obtenidos mediante la aplicación de la metodología de evaluación propuesta, han señalado la seriola y la corvina como especies más recomendadas para su puesta en cultivo en el Mediterráneo a corto y medio plazo. Las otras dos especies seleccionadas han sido la lisa y la lampuga. Como conclusión final podemos señalar que el cultivo de nuevas especies es fundamentalmente para el desarrollo sostenible de la acuicultura mediterránea. Esta diversificación debe basarse en la aplicación de una metodología sencilla y práctica, que garantice una selección de especies cuyo cultivo sea rentable y abarquen nuevos segmentos de mercado. ABSTRACT Aquaculture, the cultivation and breeding of aquatic animals and plants, currently represents an essential source of highly nutritious and healthy protein that provides a way of life and income all over the world. Apart from being a social and economic driver in coastal and marine areas, it also entails a guaranteed high quality nourishment in many undeveloped areas being key to the alimentary safety of their population. Aquaculture has developed mainly in the last 50 years and experienced a high growth especially during the Eighties when the annual rates were above 6%. With fishing production stagnating and the global population increasing, aquaculture emerges as the only possible animal and vegetable protein source of aquatic origin, high in quality and omega 3 oils (EPA and DHA). Here and now, aquaculture production is over 95 million tons per year, which is slightly higher than the 94 million tons per year that come from extractive fisheries. From this aquaculture total, Asiatic production represents 89% while Europe´s is only 4.2%. Even though 46% of the global aquaculture production focuses just on 10 species, one of the main characteristics of aquaculture is the wide diversity of cultivated species –over 500– using different technologies and production systems. This PhD’s scope is only marine aquaculture in Mediterranean water, regardless of the technology or systems used. The main crop groups in the Mediterranean sea are molluscs and finfish, while crustacean and macroalgae cultivations are very limited. Mediterranean fish culture is dominated by the cultivation in floating cages of two species: Bream (Sparus auratus) and Bass (Dicentrarchus labrax). After 30 years of farming, these two species still keep a high productive inefficiency –reduced genetic selection, slow growth to marketable size, high feed conversion rate– and fill a narrow niche market as practically all bream and bass is sold fresh and whole, unprocessed and untransformed, with an average size of 500 grams. To meet the high consumption and growing demand of aquaculture products, in the European Union (especially those prepared and transformed), Mediterranean aquaculture needs to urgently increase the production of the species already under cultivation (Bass and Bream) by means of improving its productive efficiency and at the same time begin initiating industrial production of new species by diversifying the cultivation. To carry out this diversification it is necessary to establish a clear methodology that ensures the selection of adapted and profitable species for the Mediterranean aquaculture industry. The sustainable farming of these new species needs to meet the challenges this sector faces: New species that complement and meet the current and future needs of the European and International markets for aquaculture products. New species with efficient production parameters that ensure competitive production costs. New species that can be cultivated using already existing production technologies. The aim of this PhD is to define and develop a simple methodology for the selection of new marine fish species for their efficient and sustainable cultivation. And by applying this methodology, to select a group of fish species for its profitable crop in the short and medium term (6-8 years) in the Mediterranean. For this, a methodology has been defined and applied evaluating ten candidate species selected from a series of lists originated from different studies and from diversification works previously conducted by other research teams. These candidate species are: Seriola dumerili. (Greater amberjack), Argyrosomus regius (Meagre), Polyprion americanus (Wreckfish), Ephinephelus marginatus (Dusky grouper), Dentex dentex (Common dentex), Pagrus pagrus (Red porgy), Solea senegalensis (Senegal sole), Thunnus thynnus (Bluefin tuna), Mugil cephalus (Grey mullet), Coryphaena hippurus (Dolphinfish). All these species occupy a broad and varied spectrum within different productive, technological and environmental market areas. There is minimal experience in their different stages of cultivation for all of them. While developing the selection methodology several evaluation parameters have been defined in this PhD, considered the most significant and simple to apply. The parameters are grouped in three blocks: commercial, productivity and environmental. Market block comprises criteria related to the marketing of the species. Quality of the fish meatCompetition with other species in the marketTransformation potentialFish selling price Environment block includes criteria related to the degree of suitability of the species in the region and the degree of environmental impact of their cultivation. Optimal water temperature range for cultivationPotential environmental impact of their cultivationTrophic chain level. Productivity block includes criteria and parameters related to the level of knowledge and control over their cultivation (larval, ongrowing, technology) Degree of control of the larval stageAvailability of alevin in the sector GrowthFeed conversion rate. Exploitation of installed capacityInvestment cost Prior to the evaluation, the main characteristics of the candidate species have been described based on the current status and experience of their cultivations. When applying these criteria evaluation matrices have been established assigning to each criteria a different value depending on their characteristics and selective properties. The results obtained by applying the proposed assessment methodology have identified the Greater Amberjack and Meagre as the most recommended species for farming in the Mediterranean in the short and medium term. The other two selected species were the Grey Mullet and the Dolphinfish. In conclusion, the cultivation of new species is crucial for the sustainable development of Mediterranean aquaculture. This diversification has to be based on the application of a simple and practical methodology that guarantees a selection of species whose cultivation is profitable and covers new market segments.

Location of bioelectricity plants in the Madrid Community based on triticale crop: a multicriteria methodology

This paper presents a work whose objective is, first, to quantify the potential of the triticale biomass existing in each of the agricultural regions in the Madrid Community through a crop simulation model based on regression techniques and multiple correlation. Second, a methodology for defining which area has the best conditions for the installation of electricity plants from biomass has been described and applied. The study used a methodology based on compromise programming in a discrete multicriteria decision method (MDM) context. To make a ranking, the following criteria were taken into account: biomass potential, electric power infrastructure, road networks, protected spaces, and urban nuclei surfaces. The results indicate that, in the case of the Madrid Community, the Campiña region is the most suitable for setting up plants powered by biomass. A minimum of 17,339.9 tons of triticale will be needed to satisfy the requirements of a 2.2 MW power plant. The minimum range of action for obtaining the biomass necessary in Campiña region would be 6.6 km around the municipality of Algete, based on Geographic Information Systems. The total biomass which could be made available in considering this range in this region would be 18,430.68 t.

Multicriteria decision analysis applied to cover crop species andcultivars selection

Cover crop selection should be oriented to the achievement of specific agrosystem benefits. The covercrop, catch crop, green manure and fodder uses were identified as possible targets for selection. Theobjective was to apply multi-criteria decision analysis to evaluate different species (Hordeum vulgareL., Secale cereale L., ×Triticosecale Whim, Sinapis alba L., Vicia sativa L.) and cultivars according to theirsuitability to be used as cover crops in each of the uses. A field trial with 20 cultivars of the five specieswas conducted in Central Spain during two seasons (October?April). Measurements of ground cover, cropbiomass, N uptake, N derived from the atmosphere, C/N, dietary fiber content and residue quality werecollected. Aggregation of these variables through utility functions allowed ranking species and cultivarsfor each usage. Grasses were the most suitable for the cover crop, catch crop and fodder uses, while thevetches were the best as green manures. The mustard attained high ranks as cover and catch crop the firstseason, but the second decayed due to low performance in cold winters. Mustard and vetches obtainedworse rankings than grasses as fodder. Hispanic was the most suitable barley cultivar as cover and catchcrop, and Albacete as fodder. The triticale Titania attained the highest rank as cover and catch crop andfodder. Vetches Aitana and BGE014897 showed good aptitudes as green manures and catch crops. Thisanalysis allowed comparison among species and cultivars and might provide relevant information forcover crops selection and management.

Use of thermographic imaging to screen for drought-tolerant genotypes in Brachypodium distachyon

Thermal imaging has been used to evaluate the response to drought and warm temperatures in a collection of Brachypodium distachyon lines adapted to varied environmental conditions. Thermographic records were able to separate lines from contrasting rainfall regimes. Genotypes from dryer environments showed warmer leaves under water deficit, which suggested that decreased evapotranspiration was related to a more intense stomatal closure. When irrigated and under high temperature conditions, drought-adapted lines showed cooler leaves than lines from wetter zones. The consistent, inverse thermographic response of lines to water stress and heat validates the reliability of this method to assess drought tolerance in this model cereal. It additionally supports the hypothesis that stomatal-based mechanisms are involved in natural variation for drought tolerance in Brachypodium. The study further suggests that these mechanisms are not constitutive but likely related to a more efficient closing response to avoid dehydration in adapted genotypes. Higher leaf temperature under water deficit seems a dependable criterion of drought tolerance, not only in B. distachyon but also in the main cereal crops and related grasses where thermography can facilitate high-throughput preliminary screening of tolerant materials.

Quantitative characterization of five cover crop species

The introduction of cover crops in the intercrop period may provide a broad range of ecosystem services derived from the multiple functions they can perform, such as erosion control, recycling of nutrients or forage source. However, the achievement of these services in a particular agrosystem is not always required at the same time or to the same degree. Thus, species selection and definition of targeted objectives is critical when growing cover crops. The goal of the current work was to describe the traits that determine the suitability of five species (barley, rye, triticale, mustard and vetch) for cover cropping. A field trial was established during two seasons (October to April) in Madrid (central Spain). Ground cover and biomass were monitored at regular intervals during each growing 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, carbon (C), nitrogen (N), and fibre (neutral detergent, acid and lignin) contents, and the N fixed by the legume were determined. The grasses reached the highest ground cover (83–99%) and biomass (1226–1928 g/m2) at the end of the experiment. With the highest C:N ratio (27–39) and dietary fibre (527–600 mg/g) and the lowest residue quality (~680 mg/g), grasses were suitable for erosion control, catch crop and fodder. The vetch presented the lowest N uptake (2·4 and 0·7 g N/m2) due to N fixation (9·8 and 1·6 g N/m2) and low biomass accumulation. The mustard presented high N uptake in the warm year and could act as a catch crop, but low fodder capability in both years. The thermal time before 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 crop selection and management.

Temperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfaces

This study explored the utility of the impact response surface (IRS) approach for investigating model ensemble crop yield responses under a large range of changes in climate. IRSs of spring and winter wheat Triticum aestivum yields were constructed from a 26-member ensemble of process-based crop simulation models for sites in Finland, Germany and Spain across a latitudinal transect. The sensitivity of modelled yield to systematic increments of changes in temperature (-2 to +9°C) and precipitation (-50 to +50%) was tested by modifying values of baseline (1981 to 2010) daily weather, with CO2 concentration fixed at 360 ppm. The IRS approach offers an effective method of portraying model behaviour under changing climate as well as advantages for analysing, comparing and presenting results from multi-model ensemble simulations. Though individual model behaviour occasionally departed markedly from the average, ensemble median responses across sites and crop varieties indicated that yields decline with higher temperatures and decreased precipitation and increase with higher precipitation. Across the uncertainty ranges defined for the IRSs, yields were more sensitive to temperature than precipitation changes at the Finnish site while sensitivities were mixed at the German and Spanish sites. Precipitation effects diminished under higher temperature changes. While the bivariate and multi-model characteristics of the analysis impose some limits to interpretation, the IRS approach nonetheless provides additional insights into sensitivities to inter-model and inter-annual variability. Taken together, these sensitivities may help to pinpoint processes such as heat stress, vernalisation or drought effects requiring refinement in future model development.

Yield and sugar accumulating capacities of Airén cultivar. A preliminary study

Airén is the most worldwide spread white grape cultivar, high yielding, well adapted to hot, dry conditions, and not very sensitive to fungal diseases. Its largest growing region is La Mancha, where Airén has been traditionally bush trained, spur pruned and grown with no irrigation. However, grape growing has evolved to meet the need for higher yields and harvest mechanization; and modern cultural practices train grape vines to simple multi-wire trellis systems, cane pruned, and usually irrigated. The aim of the present study was to evaluate the yield and sugar accumulating capacities of Airén cultivar with regard to leaf area, and to assess the influence that different yield components have on yield. In 2014, five commercial irrigated vineyards, located in La Mancha, of different ages, and grafted onto different rootstocks were selected for this study. Canopy surface area (SA) was measured at maturity. Berry weight and sugar concentration were measured during ripening on a weekly basis. Yield and yield components were determined at harvest. Values for shoot density ranged 2.3-5.1 shoots/m2; SA, 0.6-1.1 m2/m2; yield, 20-40 t/ha; fertility, 1.1-1.7 bunches/shoot; bunch weight, 450-650 g; berry weight, 2.5-2.9 g; and sugar concentration, 17-21 ºBrix. The number of bunches per shoot was the yield component that had the greatest influence on yield. The number of berries was the main contributing factor to bunch weight. A lineal relationship between SA/yield and sugar concentration was observed, with values of SA/yield ranging from 0.20 to 0.45 m2/kg. A ratio SA/yield of approximately 0.4 m2/kg was needed to reach a value of 20 ºBrix. Hence it would be necessary a SA of 12000 m2/ha, under the conditions of this study, to achieve a 30 t/ha yield, and a sugar concentration of 20 ºBrix. These results are a step forward in the study of the Airén cultivar, being of help for grape growers in the center area of Spain in order to maximize crop yield and sugar accumulation.