Adaptability and temporal stability in two test of progenies of Eucalyptus camaldulensis

• Grant number: 12/08404-0
• Support type: Scholarships in Brazil - Scientific Initiation
• Effective date (Start): July 01, 2012
• Effective date (End): December 31, 2012
• Field of knowledge: Agronomical Sciences - Forestry Resources and Forestry Engineering - Forestry
• Principal researcher: Mario Luiz Teixeira de Moraes
• Grantee: Pedro Kodjaoglanian Martins Molina
• Home Institution: Faculdade de Engenharia (FEIS). Universidade Estadual Paulista (UNESP). Campus de Ilha Solteira. Ilha Solteira , SP, Brazil

Abstract

The Eucalyptus species have been considered an important economic, environmental and social due to its extensive use in the present day, contributing to employment generation, development of GNP, capital movements and conservation of environmental resources by avoiding cutting and slaughter native species. Eucalyptus, culture commonly used for pulp, paper, charcoal and wood, has a rapid growth and wood quality, with a great ability to adapt to various climates, highlighting the use of E. camaldulensis to possess tolerance to drought and high temperatures. Genetic improvement becomes a key, which will contribute to the selection of cultivars giving options for the various planting areas with an optimal production expected. This study aims to estimate genetic parameters and analysis of adaptation, temporal stability and productivity in two progeny test of Eucalyptus camaldulensis obtained from a population of breeding installed in Selvíria-MS, from Australia. Will be measured DBH (diameter at breast height, 1.30 m) and tree height, stem form and survival. The experimental design of randomized blocks, one being a plant per plot with twenty replicates and the other five plants per plot with four replications. The progeny tests will be evaluated through the software SELEGEN-REML/BLUP. For the study of stability, adaptability and productivity in progeny test of Eucalyptus camaldulensis, the method will be used MHPRVG (harmonic mean of the relative performance of genetics values) predicted by BLUP.