Bellucci, E and Aguilar, O M and Alseekh, S and Bett, K and Brezeanu, C and Cook, D and Rosa, L D and Delledonne, M and Dostatny, D F and Ferreira, J J and Geffroy, V and Ghitarrini, S and Kroc, M and Agrawal, S K and Logozzo, G and Marino, M and Mary-Huard, T and McClean, P and Meglič, V and Messer, T and Muel, F and Nanni, L and Neumann, K and Servalli, F and Străjeru, S and Varshney, R K and Vasconcelos, M W and Zaccardelli, M and Zavarzin, A and Bitocchi, E and Frontoni, E and Fernie, A R and Gioia, T and Graner, A and Guasch, L and Prochnow, L and Oppermann, M and Susek, K and Tenaillon, M and Papa, R (2021) The INCREASE project: Intelligent Collections of food-legume genetic resources for European agrofood systems. The Plant Journal (TSI), 108 (3). pp. 646-660. ISSN 0960-7412
Full text not available from this repository. (Request a copy)Abstract
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.
| Item Type: | Article |
|---|---|
| Divisions: | Center of Excellence in Genomics and Systems Biology |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | plant genetic resources, symbiosis, high-throughput phenotyping, artificial intelligence, metabolomics |
| Subjects: | Others > Plant Genetic Resources Others > Genetics and Genomics |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 17 Feb 2025 10:47 |
| Last Modified: | 17 Feb 2025 10:47 |
| URI: | http://oar.icrisat.org/id/eprint/12964 |
| Official URL: | https://onlinelibrary.wiley.com/doi/full/10.1111/t... |
| Projects: | UNSPECIFIED |
| Funders: | UNSPECIFIED |
| Acknowledgement: | The authors acknowledge support from the European Union’s Horizon 2020 research and innovation program (grant agreement No. 862862). Open Access Funding provided by Universita Politecnica delle Marche within the CRUI-CARE Agreement. [Correction added on 16 May 2022, after first online publication: CRUI funding statement has been added.] |
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