1. The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems
- Author
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Giuseppina Logozzo, Shiv Kumar Agrawal, Filippo Servalli, Juan J. Ferreira, Saleh Alseekh, Frédéric Muel, Karolina Susek, Mario Marino, Denise F. Dostatny, Tristan Mary-Huard, Alisdair R. Fernie, Massimo Zaccardelli, Kerstin Neumann, Sofia Ghitarrini, Marta W. Vasconcelos, Kirstin E. Bett, Creola Brezeanu, Vladimir Meglič, Tamara Messer, Roberto Papa, Douglas R. Cook, Aleksei Zavarzin, O. Mario Aguilar, Tania Gioia, Valérie Geffroy, Massimo Delledonne, Markus Opperman, Phil McClean, Elisa Bellucci, Silvia Străjeru, Lena Prochnow, Magdalena Kroc, Laura Nanni, Lucía De la Rosa, Luis Guasch, Maud I. Tenaillon, Andreas Graner, Emanuele Frontoni, Elena Bitocchi, Rajeev K. Varshney, Institut des Sciences des Plantes de Paris-Saclay (IPS2 (UMR_9213 / UMR_1403)), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique Quantitative et Evolution - Le Moulon (Génétique Végétale) (GQE-Le Moulon), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut technique des oléagineux, des protéagineux et du chanvre, Terres Inovia, Polytechnical University of Marche, Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université d'Évry-Val-d'Essonne (UEVE)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Veritati - Repositório Institucional da Universidade Católica Portuguesa
- Subjects
0106 biological sciences ,Germplasm ,Artificial intelligence ,International Cooperation ,[SDV]Life Sciences [q-bio] ,Plant Biology ,Plant Science ,01 natural sciences ,Databases, Genetic ,Sustainable agriculture ,Citizen science ,ComputingMilieux_MISCELLANEOUS ,2. Zero hunger ,0303 health sciences ,Food security ,Agroforestry ,Fabaceae ,Europe ,Plant genetic resources ,Seeds ,High-throughput phenotyping ,Zero Hunger ,Crops, Agricultural ,Genotype ,Plant Biology & Botany ,Crops ,Biology ,12. Responsible consumption ,[SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics ,Databases ,03 medical and health sciences ,Genetic ,Genetics ,Metabolomics ,Adaptation (computer science) ,Symbiosis ,030304 developmental biology ,Agricultural ,business.industry ,Cell Biology ,15. Life on land ,Climate Action ,[SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breeding ,Climate change mitigation ,Seed Bank ,13. Climate action ,Agriculture ,Agricultural biodiversity ,Biochemistry and Cell Biology ,business ,010606 plant biology & botany - Abstract
International audience; Food legumes are crucial for all agriculture-related societal challenges, including climate change mitigation, agrobiodiversity conservation, sustainable agriculture, food security and human health. The transition to plant-based diets, largely based on food legumes, could present major opportunities for adaptation and mitigation, generating significant co-benefits for human health. The characterization, maintenance and exploitation of food-legume genetic resources, to date largely unexploited, form the core development of both sustainable agriculture and a healthy food system. INCREASE will implement, on chickpea (Cicer arietinum), common bean (Phaseolus vulgaris), lentil (Lens culinaris) and lupin (Lupinus albus and L. mutabilis), a new approach to conserve, manage and characterize genetic resources. Intelligent Collections, consisting of nested core collections composed of single-seed descent-purified accessions (i.e., inbred lines), will be developed, exploiting germplasm available both from genebanks and on-farm and subjected to different levels of genotypic and phenotypic characterization. Phenotyping and gene discovery activities will meet, via a participatory approach, the needs of various actors, including breeders, scientists, farmers and agri-food and non-food industries, exploiting also the power of massive metabolomics and transcriptomics and of artificial intelligence and smart tools. Moreover, INCREASE will test, with a citizen science experiment, an innovative system of conservation and use of genetic resources based on a decentralized approach for data management and dynamic conservation. By promoting the use of food legumes, improving their quality, adaptation and yield and boosting the competitiveness of the agriculture and food sector, the INCREASE strategy will have a major impact on economy and society and represents a case study of integrative and participatory approaches towards conservation and exploitation of crop genetic resources.
- Published
- 2021
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