Yield pattern of eucalypt clones across tropical Brazil: An approach to clonal grouping

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dc.contributor.authorScolforo, Henrique Ferraco
dc.contributor.authorMcTague, John Paul
dc.contributor.authorBurkhart, Harold
dc.contributor.authorRoise, Joseph
dc.contributor.authorCampoe, Otavio
dc.contributor.authorStape, Jose Luiz [UNESP]
dc.contributor.institutionNorth Carolina State Univ
dc.contributor.institutionVirginia Polytech Inst & State Univ
dc.contributor.institutionUniversidade Federal de Santa Catarina (UFSC)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.date.accessioned2019-10-04T12:34:17Z
dc.date.available2019-10-04T12:34:17Z
dc.date.issued2019-01-15
dc.description.abstractThe research objective of this paper was to group eleven widely planted eucalypt clones based on their volume yield pattern by assessing how climatic variation impacts their productivity in tropical Brazil. A total of 187 plots evenly distributed across eleven clones and 17 sites (from Parana to Para State) were used. Plot measurements were carried out every six months (from 2013 to 2017) to evaluate eucalyptus growth. Since the year of plot establishment differs across the sites, volumes of all the plots and sites were standardized at a common age of 5 years. Clonal grouping analysis was performed based on the common age for volume yields using a new approach, which consisted of three steps: (1) create general groups based on testing of the slope coefficient, which was applied to every clonal-specific regression with volume yield as a function of annual water deficit index (WDI); (2) split each general group using volume yield deviation computations into subgroups of high and low productivity; (3) apply linear mixed effects models for every subgroup in order to confirm the non-existence of statistical difference among the volume yield of the clones. Statistical tests showed satisfactory yield estimates at the common age of 5 years. Clonal grouping revealed the identification of four groups (A: high productivity and non-sensitive to climate variation, B: high productivity and sensitive to climate variation, C: low productivity and sensitive to climate variation, D: low productivity and non-sensitive to climate variation). The volume yield of the Clonal group B was detected to be the most impacted by annual water deficit index variation, followed by clonal groups C, A and D. The findings of the study highlighted the utility of the proposed approach for grouping clones. Group identification and detection of the climatic impact on yield patterns was evaluated as a measure to increase site-specific productivity.en
dc.description.affiliationNorth Carolina State Univ, Dept Forestry & Environm Resources, 2820 Faucette Dr,Campus Box 8001, Raleigh, NC 27695 USA
dc.description.affiliationVirginia Polytech Inst & State Univ, Dept Forest Resources & Environm Conservat, 310 W Campus Dr,Campus Box 169, Blacksburg, VA 24061 USA
dc.description.affiliationUniv Fed Santa Catarina, Dept Forestry Agr & Biodivers, Campus Box 101,Rod Ulysses Gaboardi,Km 3, BR-89520000 Curitibanos, SC, Brazil
dc.description.affiliationState Univ Sao Paulo, Dept Forest Sci, Ave Univ,3780, BR-18610034 Botucatu, SP, Brazil
dc.description.affiliationUniv Sao Paulo, Dept Forest Sci, Ave Padua Dias,11, BR-13418900 Sao Paulo, Brazil
dc.description.affiliationUnespState Univ Sao Paulo, Dept Forest Sci, Ave Univ,3780, BR-18610034 Botucatu, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipAnglo American
dc.description.sponsorshipArauco
dc.description.sponsorshipArborgen
dc.description.sponsorshipArcelorMittal
dc.description.sponsorshipCenibra
dc.description.sponsorshipCMPC
dc.description.sponsorshipComigo
dc.description.sponsorshipCopener
dc.description.sponsorshipDuratex
dc.description.sponsorshipEldorado
dc.description.sponsorshipFazenda Campo Bom
dc.description.sponsorshipFibria
dc.description.sponsorshipFlorestal Itaquari
dc.description.sponsorshipForestal Oriental
dc.description.sponsorshipGerdau
dc.description.sponsorshipGMR
dc.description.sponsorshipInternational Paper
dc.description.sponsorshipJari
dc.description.sponsorshipKlabin
dc.description.sponsorshipLwarcel
dc.description.sponsorshipMontes del Plata
dc.description.sponsorshipPlantar
dc.description.sponsorshipRigesa
dc.description.sponsorshipSuzano
dc.description.sponsorshipVallourec
dc.description.sponsorshipVeracel
dc.description.sponsorshipUniversity of Sao Paulo
dc.description.sponsorshipSao Paulo State University
dc.description.sponsorshipFederal University of Lavras
dc.description.sponsorshipFederal University of Rio Grande do Norte
dc.description.sponsorshipColorado State University
dc.description.sponsorshipNorth Carolina State University
dc.description.sponsorshipUSDA Forest Service
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdCNPq: 249979/2013-6
dc.format.extent30-39
dc.identifierhttp://dx.doi.org/10.1016/j.foreco.2018.08.051
dc.identifier.citationForest Ecology And Management. Amsterdam: Elsevier Science Bv, v. 432, p. 30-39, 2019.
dc.identifier.doi10.1016/j.foreco.2018.08.051
dc.identifier.issn0378-1127
dc.identifier.urihttp://hdl.handle.net/11449/185287
dc.identifier.wosWOS:000455068700003
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofForest Ecology And Management
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectMixed effect modeling
dc.subjectAnnual water deficit index
dc.subjectProductivity
dc.titleYield pattern of eucalypt clones across tropical Brazil: An approach to clonal groupingen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.orcid0000-0002-0748-3637[2]
unesp.author.orcid0000-0001-6232-7015[3]
unesp.departmentCiência Florestal - FCApt

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Botucatu - FCA - Faculdade de Ciências Agronômicas