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Age trends in genetic parameters for growth performance across country-wide provenances of the iconic conifer tree Araucaria angustifolia show strong prospects for systematic breeding and early selection.

Authors :
Resende, Rafael T.
Silva, Pedro Italo T.
Silva-Junior, Orzenil B.
Freitas, Miguel L. Menezes
Sebbenn, Alexandre M.
Sousa, Valderês A.
de Aguiar, Ananda V.
Grattapaglia, Dario
Source :
Forest Ecology & Management; Dec2021, Vol. 501, pN.PAG-N.PAG, 1p
Publication Year :
2021

Abstract

• Heritabilities for growth increase with age for most A. angustifolia provenances. • Greater genetic variation for growth is found within than between provenances. • Early selection at age 7–10 provides 85% prediction accuracy of growth at age 35. • Individual and family selection could reduce harvest age to 15–20 years. • More investments in breeding and plantation forestry of A. angustifolia are timely. Understanding the growth patterns of long-lived conifer tree species is important to devise breeding and early selection strategies, predict future biomass productivity and assess adaptive tree fitness for long term conservation efforts. We investigated the genetic variation for growth traits of Araucaria angustifolia, the grandiose renowned "Paraná pine" tree, in a trial involving 122 families across 15 provenances covering the entire natural range of the species in Brazil. Measurements at ages 7, 24, 32, 33 and 35 were used to adjust continuous growth curves based on nonlinear mixed-effect models for all 2158 trees, providing annual estimates for unmeasured ages in the 7-to-35-year interval. Estimated values closely matched observed ones and a reduction of the coefficient of residual variation was observed in the estimated data, possibly due to removal of random error in the observed measurements, making the estimated curves more reliable to predict growth patterns. Genetic variation for growth within provenances was greater than between, with a trend of increasing heritabilities over time for most provenances. Substantial genetic variation found both within and between families could drive efficient early selection at both levels. All provenances included individual trees and families with good potential to be selected for shorter rotations. Growth curves show that trees invest first in height and later in diameter growth. Considerable variation was observed across provenances for the optimal age and optimal tree volume at which annual growth increment peaks, a tipping point that could be used as a predictor of the optimal rotation age and expected tree volume. The data clearly indicate potential for early selection for growth at age 7–10 with an 85% prediction accuracy of growth at age 35. Additionally, growth data indicate potential of shortening harvest age from 30–35 to 15–20 years by selecting the best individuals and families. These results underscore the potential of expanding investments in breeding and plantation forestry of A. angustifolia, which in parallel could contribute to enhancing conservation efforts of this iconic subtropical conifer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03781127
Volume :
501
Database :
Supplemental Index
Journal :
Forest Ecology & Management
Publication Type :
Academic Journal
Accession number :
152679547
Full Text :
https://doi.org/10.1016/j.foreco.2021.119671