Descripción del proyecto
Nuevas herramientas para programas de mejora genética de cultivos
En el año 2050, la población mundial habrá aumentado un 34 % hasta alcanzar los 9100 millones de personas. Para alimentar a esta creciente población, debemos incrementar la producción alimentaria, lo cual requiere un mayor rendimiento e intensidad de los cultivos. El proyecto financiado con fondos europeos CropYQualT-CEC desarrollará enfoques tecnológicos nuevos a fin de generar herramientas nuevas para unos programas de mejora genética eficientes. Por ejemplo, investigará cómo influirá el medio ambiente en la producción vegetal. Asimismo, identificará los cultivos mejor adaptados y marcadores moleculares que indiquen una mejor calidad y rendimiento del grano. Estudiará qué rasgos moleculares y fenotípicos pueden ofrecer mejor información sobre el rendimiento de los cultivos y, por último, desarrollará el uso de diferentes métodos de detección remota sobre el terreno y en el laboratorio. El proyecto aprovechará los resultados para desarrollar nuevas metodologías.
Objetivo
The expansion of world population requires the development of new strategies and tools for agriculture to ensure that high levels of production will accommodate the needs of world population by developing a highly productive and resource efficient agricultural systems. To that end, it is necessary to provide current breeding programs with improved methodologies (traits and protocols) for phenotyping together with a deeper knowledge of the molecular and metabolic mechanisms that modulate plant response to abiotic constraints in terms of yield and quality. Therefore, the development of new technological approaches, such as multispectral sensors and near-infrared reflectance spectroscopy (NIRS) is critical to deliver new tools for efficient breeding programs and in field management of crops. The current project has five main objectives: 1st objective is to investigate how will crop (wheat, rice, soybean, maize and quinoa) production and quality will be affected by the environment. 2nd objective is to identify the best adapted cultivars and molecular markers conferring a better grain yield and quality. 3rd objective is to investigate what phenotyping and molecular traits can better inform on crop yield and resource (water, nutrients, radiation) use efficiency. 4th objective is to develop the use of different remote sensing at field and labs levels as strategic tools to determine yield value. 5th objective will be the development of models.
The result will be to build on the strong existing research network of 5 EU academic, 5 non-EU academic institutions and 2 firms. The project pursues the main objective of generating a common solid knowledge basis arising from the fruitful cross-sectorial synergy between forefront research Centers in precision agriculture and industry, in a cross-fertilization multidisciplinary approach that will provide new tests and methodologies (or improve existing ones) to assess. In this proposal, funding is requested for all TC partners.
Ámbito científico
- agricultural sciencesagriculture, forestry, and fisheriesagriculturegrains and oilseeds
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesphysical sciencesopticsspectroscopy
Palabras clave
Programa(s)
Régimen de financiación
MSCA-RISE - Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE)Coordinador
28006 Madrid
España