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dc.creatorSantos, Shana Schlottfeldt-
dc.creatorWalter, Maria Emília Machado Telles-
dc.creatorCarvalho, André Carlos Ponce de Leon Ferreira de-
dc.creatorSoares, Thannya Nascimento-
dc.creatorTelles, Mariana Pires de Campos-
dc.creatorLoyola, Rafael Dias-
dc.creatorDiniz Filho, Jose Alexandre Felizola-
dc.date.accessioned2020-11-20T11:52:44Z-
dc.date.available2020-11-20T11:52:44Z-
dc.date.issued2015-
dc.identifier.citationSCHLOTTFELDT, Shana et al. Multi-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variability. Tree Genetics & Genomes, Heidelberg , v. 11, n. 16, p.3-10, 2015.pt_BR
dc.identifier.issne- 1614-2950-
dc.identifier.urihttp://repositorio.bc.ufg.br/handle/ri/19263-
dc.description.abstractGermplasm collections play a significant role among strategies for conservation of diversity. It is common to select a core collection to represent the genetic diversity of a germplasm collection, in order to minimize the cost of conservation, while ensuring the maximization of genetic variation. We aimed to solve two main problems: (1) to select a set of individuals, from an in situ data set, that is genetically complementary to an existing germplasm collection, and (2) to define a core collection for a germplasm collection. We proposed a new multi-objective optimization (MOO) approach based on principles of systematic conservation planning (SCP) incorporating heterozygosity information; therefore, optimization takes genotypic diversity and variability patterns into account as well. As a case study, we used Dipteryx alata microsatellite loci information from two sources, an ex situ germplasm collection located at the Agronomy School of the Federal University of Goi´as (UFG-AS), and an in situ data set composed of 642 sampled individual trees. We were able to identify within a population of several individuals, the exact accessions/ samples that should be chosen in order to preserve the species diversity. We found that material from nine in situ individual trees are enough to complement the UFGAS germplasm collection as it is, and that it is possible to define a core collection of 20 individual trees representing all studied genetic diversity.Moreover, we defined a method (a protocol) to deal with large amounts of accessions in the context ofMOO. The proposed approach can be used to help constructing collections with maximal allelic richness and can also be extended to the in situ conservation. As far as we know, this is the first time that principles of SCP and the MOO approach are applied to the problem of complementing a germplasm collection and of finding a core collection for a germplasm collection.pt_BR
dc.language.isoengpt_BR
dc.rightsAcesso Abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBiodiversitypt_BR
dc.subjectConservation planningpt_BR
dc.subjectCore collectionpt_BR
dc.subjectMulti-objective optimizationpt_BR
dc.subjectGenetic variabilitypt_BR
dc.subjectGermplasmpt_BR
dc.titleMulti-objective optimization for plant germplasm collection conservation of genetic resources based on molecular variabilitypt_BR
dc.typeArtigopt_BR
dc.publisher.countryAlemanhapt_BR
dc.publisher.departmentInstituto de Ciências Biológicas - ICB (RG)pt_BR
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