Genetic diversity of Cedrela fissilis (Vell.): insights on conservation and production

  • Articles in SCI Journals
  • Dec, 2017

Cusatis, A.A., Martinez, D.T., Silva, L.D. & Higa, A.H. (2017) Genetic diversity of Cedrela fissilis (Vell.): insight on conservation and production.

Scientia Forestalis, 44(112), 947-957. DOI:10.18671/scifor.v44n112.16 (IF2017 0,5; Q4 Forestry)

The objective of this study was to determine selection criteria for the genetic conservation of, and growth improvement in Cedrela fissilis using a progeny test composed of 48 C. fissilis families planted with Pinus taeda in Rio Negrinho Municipality, Santa Catarina State, Brazil. Genetic parameters were estimated using the restricted maximum likelihood method, and early predictions of genetic gains were estimated using best linear unbiased predictions and a multi-effects index. Deviance analyses indicated that the families originated from a single population, and there were significant differences in survival, collar diameter and height among progeny. Stem bifurcation, number of sprouts per stump, damage caused by Hypsipyla grandella and frost damage did not differ. A seedling seed orchard was proposed to produce seeds for genetic conservation aimed at forest restoration in the Brazilian “Legal Reserve”. It is estimated that these seeds will have a genetic gain of 2% for survival and a population size of 78 through the selection based on the progeny’s additive values. In order to produce genetically improved seeds through a clonal seed orchard, a family selection based on independent elimination levels was proposed, using additive genetic values for survival and a multieffect index within plots for collar diameter. In this case, 15 genotypes were selected, with a predicted gain of 4% in survival and 18% in collar diameter. The genetic variability found enables the use of the progeny test as an active germplasm bank, combining genetic conservation and sustainability of C. fissilis.


  • Genetic diversity of Cedrela fissilis (Vell.): insights on conservation and production Andrea Chizzotti Cusatis Computational Biology and Population Genomics - CoBiG2