dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorIF - Instituto Florestal de São Paulo
dc.date.accessioned2018-12-11T16:38:41Z
dc.date.available2018-12-11T16:38:41Z
dc.date.created2018-12-11T16:38:41Z
dc.date.issued2015-01-01
dc.identifierScientia Forestalis/Forest Sciences, v. 43, n. 105, p. 147-153, 2015.
dc.identifier1413-9324
dc.identifierhttp://hdl.handle.net/11449/167874
dc.identifier2-s2.0-84932641185
dc.description.abstractMethods based on genetic markers to estimate the coefficient of heritability in natural populations are important to understand the effects of natural selection on inheritance of quantitative traits. The objective of this study was to investigate the genetic control of the trait plant height in a fragmented population of Araucaria angustifolia. This study was conducted in a forest fragment of 5.4 ha of area, located in the State of Paraná, Brazil. Estimates of heritability were performed using data from genotypes and height of regenerating individuals of the population. Four methods to estimate the relatedness between pairs of individuals (RITLAND, 1996; LYNCH; RITLAND, 1999; QUELLER; GOODNIGHT, 1989; WANG, 2002) for three distances (without criteria, 25 and 50 m) were used. The coefficient of heritability estimated using the estimator of relatedness of Ritland (1996), suggest that the genetic control of the trait height is low in the regeneration, thus the natural selection as well as the artificial selection have a low potential to change the mean of the population. The estimates based on the other methods to calculate the relatedness presented low precision, indication that these methods are not adequate for the data used.
dc.languagepor
dc.relationScientia Forestalis/Forest Sciences
dc.relation0,495
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectAraucaria forest
dc.subjectCo-ancestry coefficient
dc.subjectGenetic parameter
dc.subjectTree species
dc.titleCoeficientes de herdabiblidade e de parentesco em um fragmento florestal de Araucaria angustifolia (Bertol.) Kuntze utilizando marcadores genéticos
dc.typeArtículos de revistas


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