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Metrics for optimum allocation of resources on the composition and characterization of crop collections: The CIMMYT wheat collection as a proof of concept

Creator: Reyes-Valdés, M.H.
Creator: Burgueño, J.
Creator: Sansaloni, C.
Creator: Payne, T.S.
Creator: Pacheco Gil, R. A.
Creator: González-Cortés, A.
Year: 2022
Language: English
Publisher: Southern Cross Publishing
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Type: Article
Place of Publication: Australia
Pages: 580-586
Issue: 5
Volume: 16
DOI: 10.21475/ajcs.22.16.05.p3534
Keywords: Crop Genebanks
Keywords: Optimization
Keywords: Relative Balance
Description: Crop genebank collections are important resources for preserving genetic diversity to face the worldwide demand for food and coping with crop diseases and climate change. However, genebanks tend to accumulate materials without systematic collection growth. Thus, tools for optimizing collections are expected to help improvement of genebanks quality. Furthermore, the genotyping efforts of genebanks would benefit from tools that can help to sample the accessions. A set of parameters to aid the optimization of genebanks are defined, in which Relative Balance is central. In this study, the foundation of our mathematical approach was Kullback-Leibler divergence, providing formulas with consistent properties. Two examples were used as proof of concept. The first one was the comparison between actual and putative optimal numbers of accessions in the Triticum set of the CIMMYT (Centro Internacional de Mejoramiento de Maíz y Trigo) Wheat Germplasm Bank, with 135,236 entries classified into ten groups. The second one was based on a set containing Triticum plus eight related genera, with 159,741 accessions classified into 217 end-groups, with the goal of illustrating the use of the analytical tools to optimize the ongoing genotyping process. The first example shows a scenario with a well-balanced allocation of accessions. The second example illustrates the optimized choice of end-groups to add 10,000 accessions to the genotyping process. The proof of concept showed the consistency and usefulness of the proposed methods for the improvement of composition in collections and their characterization
Agrovoc: CROPS
Agrovoc: WHEAT
ISSN: 1835-2693
Journal: Australian Journal of Crop Science

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  • Genetic Resources
    Genetic Resources including germplasm collections, wild relatives, genotyping, genomics, and IP

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