Data/hora: 07/06/2024 03:43:56

Biblioteca(s): | Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 1
Data corrente: | 27/09/2021
Data da última atualização: | 16/12/2021
Autoria: | RESENDE, R. T.; SILVA, P. I. T.; SILVA JUNIOR, O. B. da; FREITAS, M. L. M.; SEBBENN, A. M.; SOUSA, V. A. de; AGUIAR, A. V. de; GRATTAPAGLIA, D.
Afiliação: | RAFAEL T. RESENDE, Universidade federal de Goiás; PEDRO ITALO T. SILVA, Universidade de Brasília; ORZENIL BONFIM DA SILVA JUNIOR, Cenargen; MIGUEL L. MENEZES FREITAS, Instituto Florestal de São Paulo; ALEXANDRE M. SEBBENN, Instituto Florestal de São Paulo; VALDERES APARECIDA DE SOUSA, CNPF; ANANDA VIRGINIA DE AGUIAR, CNPF; DARIO GRATTAPAGLIA, Cenargen.
Título: | 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.
Ano de publicação: | 2021
Fonte/Imprenta: | Forest Ecology and Management, v. 501, 119671, Dec. 2021. 13 p.
DOI: | https://doi.org/10.1016/j.foreco.2021.119671
Idioma: | Inglês

Conteúdo:

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 ?Parana ´ 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.

Palavras-Chave: | Conifer breeding; Genetic parameters; Individual tree modeling; Mixed models; Random regression.
Thesagro: | Araucária Angustifólia; Pinheiro do Paraná.
Thesaurus Nal: | Early selection.
Categoria do assunto: | G Melhoramento Genético
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/226395/1/1-s2.0-S0378112721007611-main.pdf
Registro original: | Embrapa Recursos Genéticos e Biotecnologia (CENARGEN)

Exemplares:

CNPF - (57839-1) - UPC - AP - DD -  -  -  - DIS
CENARGEN - (38630-1) - UPC - AP - DD -  -  -  - DIS