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Agency: European Commission | Branch: FP7 | Program: CP | Phase: SPA.2010.1.1-04 | Award Amount: 3.60M | Year: 2010

ReCover project will develop beyond state-of-the-art service capabilities to support fighting deforestation and forest degradation in the tropical region. The pilot service capabilities mean provision of a monitoring system of forest cover and forest cover changes and biomass including a robust accuracy assessment. The capabilities are based on utilizing mainly space-borne earth observation data and in-situ data. The service development is controlled by specific user requirements that are expressed through Service Level Agreements (SLA) between the ReCover consortium and six users. The services prepare particularly for the implementation of the post-Kyoto climate treaty and the REDD\. Service roll-out and expansion to the community outside the project and present pilot users is a key activity of ReCover. The outside community includes but is not restricted to TREES-3 project, GSE Forest Monitoring Extension, FRA, and GEO. The scientific viewpoint that reaches beyond the state-of-the-art techniques is the leading baseline of the study. The main research focus in ReCover is to develop a sound statistical concept and validation procedure in the production, apply very high resolution image data to improve result reliability, estimate biomass and degradation as well as their change, define the role of radar data in REDD related services, and build standardized service system with a capacity building concept. The consortium consists of nine leading research and industrial partners of which one is an SME. Three partners are from REDD eligible countries. The high impact value of ReCover is achieved by working directly for and with the customers and with local research partners, creating novel, trustworthy and standardized but affordable services and applying them in INSPIRE compatible service environment. The long-term service sustainability is concerned including evaluation of the potential of new missions such as the Sentinels.

Agency: European Commission | Branch: FP7 | Program: CP | Phase: SPA.2010.1.1-04 | Award Amount: 3.04M | Year: 2010

SIRIUS addresses efficient water resource management in water-scarce environments. It focuses in particular on water for food production with the perspective of a sustainable agriculture in the context of integrated river-basin management, including drought management. It aims at developing innovative and new GMES service capacities for the user community of irrigation water management and sustainable food production, in accordance with the vision of bridging and integrating sustainable development and economic competitiveness. SIRIUS merges two previously separate strands of activities, those under the umbrella of GMES, related to land products and services (which address water to some extent), and those conducted under FP5/6-Environment and national programs, related to EO-assisted user-driven products and services for the water and irrigation community. As such, it will draw on existing GMES Core Services as much as possible, by integrating these products into some of the required input for the new water management services.It also makes direct use of the EO-assisted systems and services developed in the FP6 project PLEIADeS and its precursor EU or national projects, like DEMETER, IRRIMED, ERMOT, MONIDRI, AGRASER, all addressing the irrigation water and food production sectors, some of which have resulted in sustainable system implementation since 2005. SIRIUS addresses users (water managers and food producers) at scales ranging from farm, over irrigation scheme or aquifer, to river-basins. It will provide them with maps of irrigation water requirements, crop water consumption and a range of further products for sustainable irrigation water use and management under conditions of water scarcity and drought, integrated in leading-edge participatory spatial online Decision-support systems. The SIRIUS service concept considers the economic, environmental, technical, social, and political dimensions in an integrated way.

PubMed | Colegio de Postgraduados., International Maize and Wheat Improvement Center, University of Quintana Roo, University of Colima and Michigan State University
Type: | Journal: G3 (Bethesda, Md.) | Year: 2016

The phenomenon of genotype environment (GE) interaction in plant breeding decreases selection accuracy, thereby negatively affecting genetic gains. Several genomic prediction models incorporating GE have been recently developed and used in genomic selection of plant breeding programs. Genomic prediction models for assessing multi-environment GE are extensions of a single-environment model, and have advantages and limitations. In this study, we propose two multi-environment Bayesian genomic models: the first model considers genetic effects ( U: ) that can be assessed by the Kronecker product of variance-covariance matrices of genetic correlations between environments and genomic kernels through markers under two linear kernel methods, linear (GBLUP) and Gaussian (GK). The other model has the same genetic component as the first model ( U: ) plus an extra component, F: , that captures random effects between environments that were not captured by the random effects U: We used five CIMMYT data sets (one maize and four wheat) that were previously used in different studies. Results show that models with GE always have superior prediction ability than single-environment models, and the higher prediction ability of multi-environment models with U: and F: over the multi-environment model with only U: occurred 85% of the time with GBLUP and 45% of the time with GK across the five data sets. The latter result indicated that including the random effect F: is still beneficial for increasing prediction ability after adjusting by the random effect U.

Perez-Vera F.G.,Colegio de Mexico | Garcia-Mata R.,Colegio de Postgraduados | Damian M.A.M.,Colegio de Postgraduados | Mora-Flores J.S.,Colegio de Postgraduados | And 2 more authors.
Tecnica Pecuaria en Mexico | Year: 2010

The trade balance of the Mexican pork industry has been unfavorable since 1988, as imports increased 515.7% between 1988 and 2007. The objective was to represent pork market performance, taking into account import prices of both pork and feed grains and to quantify their effects on foreign trade balance. To this end an econometric model of simultaneous equations was developed which was quantified through the Least Squares Method in two stages for 1961 to 2007. Results show that import price elasticity of foreign trade balance was inelastic, which resulted in a 0.66% import decrease (846.7 t), although in some years below normal value imports affected both producer and consumer domestic prices, fostering consumption and discouraging production. Demand had greater impact on pork import increase and cancelled any positive effects due to supply factors.

Mancillas R.G.,Colegio de Mexico | Lopez J.F.J.,Colegio de Postgraduados | Navarro L.A.A.,Colegio de Postgraduados | Hernandez B.R.,Popular University of Chontalpa | Pena A.G.,Colegio de Postgraduados
Investigaciones Geograficas | Year: 2015

The exponential growth of energy demand worldwide, the depletion of oil reserves and the severe pollutants problems caused by industry that favors greenhouse effect, evidence the need to increase the supply of oils for biodiesel production. This sets a new overview for studying non-edible oilseeds species. An alternative is barbados nut or piñon (Jatropha curcas) crop, perennial bush that is native from Mexico and Central America, grows in most of tropical countries, and it is considered like one of the non-conventional oilseed crops with great expectations for obtaining biodiesel. The barbados nut (Jatropha curcas) seeds have an outstanding characteristic: their high oil content allows converting it to liquid biofuel, and also the shell can be transformed into biogas and biofertilizers. Jatropha curcas is a green option to reforest degraded soils and to control erosion, as well as an option to diversify agricultural systems (crop rotation). On the other hand, in several scientific studies it is reported a wide variation in yields, due lack of study of plant's genetics, the agronomic handling, as well to the misunderstanding that exists in some countries in the field of zones with best agroecological ability to set the crop. The agroecological zoning (ZAE) refers to a division of land surface and weather into smaller units, that have similar characteristics related to its ability, potential yield and environmental impact. The aim of this paper is to define the zones with different agroecological abilities to set the Jatropha curcas crop, in the state of Tabasco. In order to accomplish this, four types of abilities were defined: optimal, proper, marginal by thermal or water deficit, and marginal by thermal or water excess. The agroecological zoning (ZAE) proposed in this paper defines zones based on combinations of soil, physiography, weather characteristics of temperature, rainfall and growth rate. An agroclimatic zoning is a zone with characteristics related to weather and crop systems, for our study the database of ERIC III (Extractor Rápido de Información Climatológica) was used, reporting for Tabasco a total of 93 meteorological stations. Nevertheless, only 35 stations were selected, since the other had inconsistencies in their information. From those 35 stations, a weather database was created, considering the information of historical series in a daily basis, like minimum and maximum temperatures, rainfall and evaporation (1950-2003 period). The edaphoclimatic zoning consisted in assessing the soil resource based in the units and subdivisions of soil from FAO/UNESCO system. In order to fulfill the zoning, cartographic data of soils subunits was consolidated, including texture, slope, soil depth, and its fertility, whose edaphological properties were compared to FAO's Jatropha curcas crop requirements and optimal level was assigned. The tool used for cartography elaboration was ArcMap GIS Software, which consists of computer mapping system that relates locations with agroclimatic information equal to Jatropha curcas crop requirements, which were defined like areas with ability, and according to this maps were prepared at a scale of 1:250 000 of every climatic element. The interpolation for the calculation of isolines was made by Kriging method, embedded within ArcMap software, which ease the handling and superposition of theme information layers of weather and soil. The yearly average analysis of temperature corroborated that whole Tabasco state has optimal ability and the rainfall analysis showed a surface of 2 229 631 ha with optimal ability. About soil resource there were detected 37 subunits of soil with optimal ability, adding a surface of 945 462 ha. After analyzing the maps between optimal characteristic abilities (temperature, rainfall and growth rate) and edaphological, there were detected 833 181 ha with optmial agroecological ability, therefore in the state of Tabasco is feasible the crop of this oilseed to produce biofuels.

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