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Maximizing Eucalyptus pilularis progeny selection using a parentage matrix obtained with microsatellite markers

dc.contributor.authorBrizola, Gustavo E. A.
dc.contributor.authorPeres, Fabiana S. B.
dc.contributor.authorSilva, Paulo H. M.
dc.contributor.authorde Oliveira, Ximena M.
dc.contributor.authorNunes, Maria Paula B. A. [UNESP]
dc.contributor.authorde O. Silva, Dandara Yasmim B. [UNESP]
dc.contributor.authorTambarussi, Evandro Vagner [UNESP]
dc.contributor.institutionUniversidade Estadual do Centro-Oeste
dc.contributor.institutionInstituto de Pesquisas e Estudos Florestais
dc.contributor.institutionUniversidade Federal Rural da Amazônia
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:00:49Z
dc.date.issued2024-07-01
dc.description.abstractEucalyptus pilularis Smith is renowned for its high-quality wood, rapid growth, and adaptability to diverse soil conditions. This study aimed to evaluate the use of the molecular kinship matrix to estimate genetic parameters for E. pilularis selection and the potential establishment of a base population. The experiment involved 13 provenances and 115 progenies, using a randomized complete block design with five replicates and linear plots consisting of five plants each. Genetic parameters for the traits diameter at breast height (DBH), total height, and volume were evaluated at five years of age using the linear mixed model. Results indicated a survival rate for the population of 73.11%, an average total height of 18.65 m, DBH of 14.28 cm, and volume of 14.57 cm3. By adjusting the kinship matrix, the estimated values of heritability and genetic coefficients of variation decreased, indicating that there would be errors in these estimates and in the genetic gains if the progenies were assumed to be half-siblings. The discrepancy in rankings derived from the conventional half-sibling matrix versus molecular kinship matrix poses a significant challenge for experts in forest species genetic improvement. Our findings indicate not only inflated estimations of genetic parameters and gains, but also disparities in rankings when accounting for true levels of relatedness among individuals based on the molecular matrix.en
dc.description.affiliationDepartamento de Engenharia Florestal Universidade Estadual do Centro-Oeste, PR
dc.description.affiliationInstituto de Pesquisas e Estudos Florestais, SP
dc.description.affiliationDepartamento de Engenharia Florestal Universidade Federal Rural da Amazônia, PA
dc.description.affiliationDepartamento de Produção Vegetal Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.description.affiliationPós-Graduação Em Ciência Florestal Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.description.affiliationUnespDepartamento de Produção Vegetal Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.description.affiliationUnespPós-Graduação Em Ciência Florestal Universidade Estadual Paulista “Júlio de Mesquita Filho”, SP
dc.identifierhttp://dx.doi.org/10.1007/s10681-024-03356-9
dc.identifier.citationEuphytica, v. 220, n. 7, 2024.
dc.identifier.doi10.1007/s10681-024-03356-9
dc.identifier.issn1573-5060
dc.identifier.issn0014-2336
dc.identifier.scopus2-s2.0-85195499454
dc.identifier.urihttps://hdl.handle.net/11449/304793
dc.language.isoeng
dc.relation.ispartofEuphytica
dc.sourceScopus
dc.subjectGenetic parameters
dc.subjectGenetic variability
dc.subjectKinship matrix
dc.subjectMolecular markers
dc.subjectPlant breeding
dc.titleMaximizing Eucalyptus pilularis progeny selection using a parentage matrix obtained with microsatellite markersen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0009-0007-9218-9590[1]
unesp.author.orcid0000-0001-8139-8417[2]
unesp.author.orcid0000-0002-2926-8719[3]
unesp.author.orcid0000-0002-9887-7075[4]
unesp.author.orcid0000-0001-8781-0521[5]
unesp.author.orcid0000-0002-8050-8685[6]
unesp.author.orcid0000-0001-9478-5379[7]

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