Longitudinal analysis of Pinus caribaea var. hondurensis full-sibling progenies based on multivariate analysis

Keywords: early selection, multi-trait BLUP, unstructured matrices

Abstract

Aim of study: To define an early selection strategy based on tests applied to full-sibling progenies of Pinus caribaea var. hondurensis grown in the Cerrado Biome.

Area of study: Prata region (MG), Brazil.

Material and methods: Progeny tests were cultivated in 2006; the study followed a completely randomized design, with 79 families of full-siblings and 15 repetitions, with one plant per plot. Thinning was carried out at the age of 6 and 8 years; 615 individuals and 44 families were included in the test. The following quantitative variables were used in the statistical analysis of data on the remaining individuals: diameter at breast height (DBH) in cm, total height (H) in m, and volume in dm³ at the age of 3, 4, 5, 6, 7, 8 and 11 years. BLUP multi-trait multivariate model, with non-structured covariance structure matrix, was adopted for calculations.

Main results: There were strong additive genetic correlations (above 90%) between variables DBH and H, in all analyzed ages. Strong volume correlations were estimated based on the age group over four years; volume selection efficiency reached its peak at the age of five years.  Selection based on volume at the age of 5 years leads to genetic gains in this variable; selection intensity values can range from 7.8% to 6.4% and 5.4%, and from 10% to 20% and 30%.

Research highlights: The best strategy lies on carrying out the selections at the age of five years, based on 30% selection intensity.

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Published
2022-06-29
How to Cite
Ishibashi, V., Flores-Junior, P. C., Martinez , D. T., Coelho, A. S. G., & Higa, A. R. (2022). Longitudinal analysis of Pinus caribaea var. hondurensis full-sibling progenies based on multivariate analysis. Forest Systems, 31(2), e014. https://doi.org/10.5424/fs/2022312-19312
Section
Research Articles