Selection of Pinus caribaea var. bahamensis progenies based on the predicted genetic value

dc.contributor.authorMissio, Robson Fernando
dc.contributor.authorDias, Luiz Antônio dos Santos
dc.contributor.authorMoraes, Mário Luiz Teixeira de
dc.contributor.authorResende, Marcos Deon Vilela de
dc.date.accessioned2026-08-24T18:08:45Z
dc.date.issued2004
dc.description.abstractPinus caribaea var. bahamensis progenies were selected by mixed models using the estimate of the genetic parameters by REML for the prediction of additive genetic values by BLUP. The experimental design was a 11 x 11 partially balanced square lattice containing 119 progenies and two commercial controls. After 13 years, the diameter at breast height (DBH), height and volume were evaluated. The progenies presented good mean performance (18.83 m, 20.80 cm and 0.462 m3 tree-1), and heritability estimates of 0.12, 0.20 and 0.21 for height, DBH and volume, respectively. The trait with greatest variability was the volume with a genetic variation coefficient of 22.60% while the genetic variation for height was lower (3.73%). A genetic gain of 14.5% was obtained for DBH with a selection of 250 trees from 56 progenies, with a mean of 4.46 trees selected per progeny and an effective population size of 72.en
dc.identifier.citationMISSIO, Robson Fernando; DIAS, Luiz Antônio dos Santos; MORAES, Mário Luiz Teixeira de; RESENDE, Marcos Deon Vilela de. Selection of Pinus caribaea var. bahamensis progenies based on the predicted genetic value. Revista Crop Breeding and Applied Biotechnology, Viçosa, v. 4, n. 4, p. 399-407, 2004.
dc.identifier.issn1984-7033
dc.identifier.urihttps://locus.ufv.br/handle/123456789/35724
dc.language.isoeng
dc.publisherCrop Breeding and Applied Biotechnology
dc.relation.ispartofseriesv. 4 ; n. 4
dc.rightsCreative Commons Attribution License
dc.subjectREML/BLUPen
dc.subjectPinusen
dc.subjectImprovement of perennial plant speciesen
dc.subjectGenetic parametersen
dc.subjectSelectionen
dc.titleSelection of Pinus caribaea var. bahamensis progenies based on the predicted genetic valueen
dc.typeArtigo

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