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Registro Completo |
Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
27/09/2021 |
Data da última atualização: |
16/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. MenosUnderstanding 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 ... Mostrar Tudo |
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: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226395/1/1-s2.0-S0378112721007611-main.pdf
|
Marc: |
LEADER 03310naa a2200313 a 4500 001 2134780 005 2021-12-16 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.foreco.2021.119671$2DOI 100 1 $aRESENDE, R. T. 245 $aAge trends in genetic parameters for growth performance across country-wide provenances of the iconic conifer tree Araucaria angustifolia show strong prospects for systematic breeding and early selection.$h[electronic resource] 260 $c2021 520 $aUnderstanding 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. 650 $aEarly selection 650 $aAraucária Angustifólia 650 $aPinheiro do Paraná 653 $aConifer breeding 653 $aGenetic parameters 653 $aIndividual tree modeling 653 $aMixed models 653 $aRandom regression 700 1 $aSILVA, P. I. T. 700 1 $aSILVA JUNIOR, O. B. da 700 1 $aFREITAS, M. L. M. 700 1 $aSEBBENN, A. M. 700 1 $aSOUSA, V. A. de 700 1 $aAGUIAR, A. V. de 700 1 $aGRATTAPAGLIA, D. 773 $tForest Ecology and Management$gv. 501, 119671, Dec. 2021. 13 p.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
29/03/2023 |
Data da última atualização: |
01/11/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
MAURASTONI, M.; ANTUNES, T. F. S.; ABREU, E. F. M.; RIBEIRO, S. da G.; REIS, A. M. dos; SANCHES, M. M.; FONTES, W.; KITAJIMA, E. W.; CRUZ, F. T.; SANTOS, A. M. C.; VENTURA, J. A.; GOMES, A. C. M. M.; ZERBINI, F. M.; SOSA-ACOSTA, P.; NOGUEIRA, F. C. S.; RODRIGUES, S. P.; ARAGÃO, F. J. L.; WHITFIELD, A. E.; FERNANDES, P. M. B. |
Afiliação: |
MARLONNI MAURASTONI, Federal University of Espírito Santo; TATHIANA F. SÁ ANTUNES, Federal University of Espírito Santo; EMANUEL FELIPE MEDEIROS ABREU, Cenargen; SIMONE DA GRACA RIBEIRO, Cenargen; ANGELA MEHTA DOS REIS, Cenargen; MARCIO MARTINELLO SANCHES, CNPGC; WAGNER FONTES, University of Brasilia; ELLIOT W. KITAJIMA, University of São Paulo; FABIANO T. CRUZ, Federal University of Espírito Santo; ALEXANDRE M. C. SANTOS, Federal University of Espírito Santo; JOSE A. VENTURA, Federal University of Espírito Santo; ANA CRISTINA MENESES M GOMES, Cenargen; F. MURILO ZERBINI, Federal University of Viçosa; PATRICIA SOSA-ACOSTA, Federal University of Rio de Janeiro; FÁBIO C. S. NOGUEIRA, Federal University of Rio de Janeiro; SILAS P. RODRIGUES, Federal University of Rio de Janeiro; FRANCISCO JOSE LIMA ARAGAO, Cenargen; ANNA E. WHITFIELD, North Carolina State University, USA; PATRICIA M. B. FERNANDES, Federal University of Espírito Santo. |
Título: |
A capsid protein fragment of a Fusagra-like virus found in Carica papaya latex interacts with the 50S Ribosomal protein L17. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Viruses, v. 5, n. 2, 2023. 541. |
DOI: |
https://doi.org/10.3390/v15020541 |
Idioma: |
Inglês |
Notas: |
Na publicação: Simone G. Ribeiro; Angela Mehta. |
Palavras-Chave: |
Coat protein; DsRNA; Fusagra-like virus; Plant virus; Protein-protein interaction. |
Thesaurus NAL: |
Totiviridae. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152841/1/viruses-15-00541-v3.pdf
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Marc: |
LEADER 01276naa a2200421 a 4500 001 2152841 005 2023-11-01 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/v15020541$2DOI 100 1 $aMAURASTONI, M. 245 $aA capsid protein fragment of a Fusagra-like virus found in Carica papaya latex interacts with the 50S Ribosomal protein L17.$h[electronic resource] 260 $c2023 500 $aNa publicação: Simone G. Ribeiro; Angela Mehta. 650 $aTotiviridae 653 $aCoat protein 653 $aDsRNA 653 $aFusagra-like virus 653 $aPlant virus 653 $aProtein-protein interaction 700 1 $aANTUNES, T. F. S. 700 1 $aABREU, E. F. M. 700 1 $aRIBEIRO, S. da G. 700 1 $aREIS, A. M. dos 700 1 $aSANCHES, M. M. 700 1 $aFONTES, W. 700 1 $aKITAJIMA, E. W. 700 1 $aCRUZ, F. T. 700 1 $aSANTOS, A. M. C. 700 1 $aVENTURA, J. A. 700 1 $aGOMES, A. C. M. M. 700 1 $aZERBINI, F. M. 700 1 $aSOSA-ACOSTA, P. 700 1 $aNOGUEIRA, F. C. S. 700 1 $aRODRIGUES, S. P. 700 1 $aARAGÃO, F. J. L. 700 1 $aWHITFIELD, A. E. 700 1 $aFERNANDES, P. M. B. 773 $tViruses$gv. 5, n. 2, 2023. 541.
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