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Genome-wide SNP-based relationships improve genetic parameter estimates and genomic prediction of growth traits in a large operational breeding trials of Pinus taeda L.

dc.contributor.authorTambarussi, Evandro Vagner [UNESP]
dc.contributor.authorShalizi, Mohammad Nasir
dc.contributor.authorGrattapaglia, Dario
dc.contributor.authorHodge, Gary
dc.contributor.authorIsik, Fikret
dc.contributor.authorPaludeto, Joao Gabriel Zanon
dc.contributor.authorBiernaski, Fabricio A.
dc.contributor.authorAcosta, Juan Jose
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNorth Carolina State Univ
dc.contributor.institutionEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
dc.contributor.institutionKlabin SA
dc.date.accessioned2025-04-29T20:13:35Z
dc.date.issued2025-02-06
dc.description.abstractHigh-precision estimation of genetic parameters of growth traits is a fundamental requisite for effective selection of individuals to advance breeding cycles and support continued genetic gain in tree improvement. Due to the lack of efficient large-scale cloning techniques of adult trees, plantation forestry of Pinus taeda relies mostly on genetically improved families deployed by seed or clonally propagated from juvenile tissue. The accuracy of genetic parameter estimation is a direct function of the precision by which the genetic relatedness of individuals is measured. To this end, modern tree breeding has increasingly used high-density DNA markers to capture the realized genetic relatedness among individuals into a genomic relationship matrix (GRM) instead of the standard pedigrees. This study aimed to assess the impact of GRM in improving parameter estimation in an operational P. taeda network of progeny trials in southern Brazil. A total of 35 820 individuals from 332 open-pollinated families were measured for growth traits at age five, and 917 of them were genotyped with the Pita50K SNP array. Pedigree-best linear unbiased prediction (ABLUP) and single-step genomic BLUP (ssGBLUP) models were compared for parameter estimates and predictions of individual tree and family genetic values. Estimates of narrow-sense heritability (${h}_i<^>2$) were moderate to high, varying between 0.46 for height and 0.68 for diameter at breast height using both ABLUP and ssGBLUP models. Additive genetic correlations among trials indicated low magnitude genotype by environment interaction across trials. Preliminary estimates of genomic predictive ability ranged from 0.34 for height to 0.46 for volume using an RRBLUP model applied exclusively to the genotyped trees. Genotyping a relatively small portion of progeny individuals provides improved accuracies in selecting individuals and families opening the possibility of clonally propagating them from juvenile tissue for large-scale deployment of P. taeda clonal plantations.en
dc.description.affiliationSao Paulo State Univ, Coll Agr, Plant Prod Dept, Ave Univ 3780, BR-18610034 Botucatu, SP, Brazil
dc.description.affiliationNorth Carolina State Univ, Dept Forestry & Environm Resources, 2800 Faucette Dr,Jordan Hall 3120, Raleigh, NC 27607 USA
dc.description.affiliationEMBRAPA Genet Resources & Biotechnol, PqEB, POB 02372,Av W5 Norte,Parque Estacao Biol, BR-70770917 Brasilia, DF, Brazil
dc.description.affiliationKlabin SA, Fazenda Monte Alegre, S-N Harmonia, BR-84275000 Telemaco Borba, PR, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Coll Agr, Plant Prod Dept, Ave Univ 3780, BR-18610034 Botucatu, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFAP-DF
dc.description.sponsorshipIdCNPq: 304899/2019-4
dc.description.sponsorshipIdCNPq: 200727/2020-6
dc.description.sponsorshipIdFAP-DF: RECGENOMICS 00193-00000924/2021-92
dc.description.sponsorshipIdCNPq: 309443/2023-7
dc.format.extent14
dc.identifierhttp://dx.doi.org/10.1093/forestry/cpaf004
dc.identifier.citationForestry. Oxford: Oxford Univ Press, 14 p., 2025.
dc.identifier.doi10.1093/forestry/cpaf004
dc.identifier.issn0015-752X
dc.identifier.urihttps://hdl.handle.net/11449/308776
dc.identifier.wosWOS:001414517100001
dc.language.isoeng
dc.publisherOxford Univ Press
dc.relation.ispartofForestry
dc.sourceWeb of Science
dc.subjecttree breeding
dc.subjectgenetic correlation
dc.subjectABLUP
dc.subjectssGBLUP
dc.subjectG x E
dc.titleGenome-wide SNP-based relationships improve genetic parameter estimates and genomic prediction of growth traits in a large operational breeding trials of Pinus taeda L.en
dc.typeArtigopt
dcterms.licensehttp://www.oxfordjournals.org/access_purchase/self-archiving_policyb.html
dcterms.rightsHolderOxford Univ Press
dspace.entity.typePublication
unesp.author.orcid0000-0003-2833-7919[5]

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