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Comparative assessment of LiDAR and conventional methods in evaluating genetic parameters of eucalypt progeny trials

dc.contributor.authorJatzek, Vitor Augusto
dc.contributor.authorFilho, Humberto Menecheli
dc.contributor.authorRocha, Guilherme Nichele
dc.contributor.authorSilva, Otávio Jerônimo
dc.contributor.authorRodriguez, Luiz Carlos Estraviz
dc.contributor.authorPaula, Rinaldo Cesar de [UNESP]
dc.contributor.authorSilva, Paulo Henrique Müller da
dc.contributor.institutionInstituto de Pesquisas e Estudos Florestais
dc.contributor.institutionForlidar
dc.contributor.institutionUniversidade Federal de Lavras (UFLA)
dc.contributor.institutionEscola Superior de Agricultura Luiz de Quei-roz
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T20:14:24Z
dc.date.issued2025-01-01
dc.description.abstractThis study compared Light Detection and Ranging (LiDAR) and conventional methods in progeny trials of Eucalyptus cloeziana and E. saligna. Two populations, derived from open-pollinated progenies, were evaluated by using a randomized complete block design. Measurements were taken six years after planting for E. cloeziana and three years for E. saligna. The study aimed to assess genetic parameters and select individuals at typical breeding evaluation ages in Brazil. Both methods demonstrated strong alignment, with high correlations in genetic parameters and values at both progeny and individual levels. Correlations exceeded 97% for progenies and 81% for individuals when analyzing the genetic values of diameter at breast height and height. The methods aligned closely under lower selection intensities but diverged under higher selection intensities. While the accuracy of LiDAR can be improved through refinement, the choice between these methods ultimately depends on operational factors such as the availability of skilled labor and equipment.en
dc.description.affiliationInstituto de Pesquisas e Estudos Florestais, Via Comendador Pedro Morganti, 3500, Bairro Monte Alegre, SP
dc.description.affiliationForlidar, Rua Cezira Giovanoni Moretti, 655, SP
dc.description.affiliationUniversidade Federal de Lavras, Trevo Ro-tatório Professor Edmir Sá Santos, MG
dc.description.affiliationEscola Superior de Agricultura Luiz de Quei-roz, Avenida Pádua Dias, 235, Agronomia, SP
dc.description.affiliationUniversidade Estadual Paulista, Via de Acesso Professor Paulo Donato Castelane, s/n, Vila Industrial, SP
dc.description.affiliationUnespUniversidade Estadual Paulista, Via de Acesso Professor Paulo Donato Castelane, s/n, Vila Industrial, SP
dc.identifierhttp://dx.doi.org/10.1590/1984-70332025v25n1a06
dc.identifier.citationCrop Breeding and Applied Biotechnology, v. 25, n. 1, 2025.
dc.identifier.doi10.1590/1984-70332025v25n1a06
dc.identifier.issn1984-7033
dc.identifier.issn1518-7853
dc.identifier.scopus2-s2.0-85217542342
dc.identifier.urihttps://hdl.handle.net/11449/309109
dc.language.isoeng
dc.relation.ispartofCrop Breeding and Applied Biotechnology
dc.sourceScopus
dc.subjectE. saligna
dc.subjectEucalyptus cloeziana
dc.subjectForestry evaluation techniques
dc.subjectgrowth phenotyping
dc.subjectselection intensity
dc.titleComparative assessment of LiDAR and conventional methods in evaluating genetic parameters of eucalypt progeny trialsen
dc.typeArtigopt
dspace.entity.typePublication
unesp.author.orcid0009-0000-0667-5699[1]

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