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R&D Projects

Projects supported by Government institutions.

RecADN

Development of a system for remote detection and microbiome analysis to obtain more resilient and healthy crops

The main objective of this project is to combine high spatio-temporal resolution remote sensing with state-of-the-art crop microbiome analysis and machine learning models to improve or reinforce some of our current procedures and create a predictive model of soil resilience to climate change impacts and management intensity in agricultural soils. To achieve this, the following specific objectives have been defined:

  1. To develop a predictive model of soil resilience and soil health based on the characterization of the influence of environmental conditions and agricultural management intensity on soil abiotic properties and the structure, composition, diversity and functionality of the soil microbiome.
  2. To develop a system of crop soil microbiome sampling strategies using high-resolution remote sensing techniques.
  3. To understand the real effect of the presence of pathogenic microorganisms on crop productivity and design a pest risk mapping system combining remote sensing, microbiome sequencing, and Artificial Intelligence techniques.
Call for R&D Projects. Project funded by the European Regional Development Fund (ERDF) of the European Union and Junta de Castilla y León, through the Institute for Business Competitiveness of Castilla y León (ICE), with the aim of promoting research, technological development and innovation. File reference 04/18/VA/0173. Execution period from 03/06/2022 to 31/12/2025.
Automatized Data-driven recommendation engine

Soil microbiome modeling platform with Artificial Intelligence for a sustainable improvement of production

The main objective of this project is to enable precision agriculture with individualized treatments that improve the health and yield of crops and soil, through computational analysis of interventions in their microbiome. To achieve this, the following specific objectives have been defined:

  1. Analyze the microbial composition of the soil using NGS (Next Generation Sequencing) techniques.
  2. Identify changes in the microbiome as a consequence of treatment with agricultural inputs.
  3. Use the information collected to design, develop and train a decision engine with Artificial Intelligence.

Demonstrate the predictive capacity of the recommendation engine in pilot field tests.

The final result will be a decision engine based on Artificial Intelligence for the recommendation of bio-products through the microbiome that will allow a further step towards precision agriculture.

2021 CALL OF AID FOR RESEARCH AND DEVELOPMENT PROJECTS IN ARTIFICIAL INTELLIGENCE AND OTHER DIGITAL TECHNOLOGIES AND THEIR INTEGRATION INTO VALUE CHAINS C005/21-ED. File 2021/C005/00149785. Execution time from 08/10/2021 to 22/05/2024.

Proyect funded by the European Union– NextGenerationEU, through the Recovery, Transformation and Resilience Plan for the Spanish economy.

 

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WISH-ROOTS

Tuning the wheat root microbiome to improve soil health and optimize rhizosphere nitrogen cycling and availability.

Main Objective
To restore and preserve soil health through wheat root traits. To achieve this, we aim at: 1) identify key traits associated with functionality of microbial guilds in the rhizosphere and root system architectural traits; 2) find the genes, genomic regions or metabolic pathways in wheat that benefit soil health; 3) develop genetic tools for breeding to introduce these beneficial traits in commercial cultivars and 4) develop a predictive model for soil health. The results will provide advantageous varieties for farmers that support a more sustainable use of land improving soil microbial biodiversity, nutrient cycling, and structure.

Coordinator: John Innes Centre, UK

Partners: Agricultural Research Council (South Africa), University of Bologna (Italy), Institute of Genetics and Developmental Biology – CAS (China), Forschungszentrum Juelich (Germany), KU Leuven (Belgium), Biome Makers (Spain). 

Duration: April 2022 to March 2025.

Total Budget: 1.923.000 €

This project is supported by the European Joint Programme on Agricultural Soil Management (EJP-SOIL): https://ejpsoil.eu/

Project website: https://www.wishroots-ejpsoil.net/

 

INNOMICROVIN

Development of advanced microbiology with differentiating properties for the optimization and improvement of winemaking processes.

Reference: RTC-2017-6163-2
Duration: 01/09/2018-31/12/2021
Budget: 550.093,01 €
Consortium: Bodega Matarromera S.L., Instituto de Biología Funcional y Genómica (ibfg)-CSIC,
Universidad de Salamanca (USAL) Dpto Microbiolgía, Biome Makers Spain SL.

Objective
To obtain high quality and differentiated wines through biotechnological solutions
provided by various microorganisms involved in three bioprocesses: fermentation, bio-control
and fermentation lees lysate.

Specific Objectives

  • SO1. Optimize fermentation processes to obtain wines with differentiating characteristics
    through the development of new non-GMO yeast hybrids of enological and technological
    interest.
  • SO2. Rapid and specific detection of spoilage yeasts and bacteria in wines and their
    elimination, through the development of alternative analytical procedures and the use of
    biotechnological tools based on the biological activity of bio-controlling microorganisms.
  • SO3. Enrichment of wine through the release of mannoproteins and polysaccharides from wine
    lees by developing new biotechnological tools and strategies.
  • SO4. Implementation of developed technological innovations in the winemaking process on an
    industrial scale.
  • SO5. Technology transfer to the sector.

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