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| Registros recuperados : 15 | |
| 2. |  | PINTO, D. S.; RESENDE, R. T.; MESQUITA, A. G. G.; ROSADO, A. M.; CRUZ, C. D. Seleção precoce para características de crescimento em testes clonais de Eucalyptus urophylla. Scientia Forestalis, Piracicaba, v. 42, n. 102, p. 251-257, jun. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 4. | | CASTRO, C. A. de O.; NUNES, A. C. P.; SANTOS, O. P. dos; RESENDE, R. T.; SANTOS, G. A. dos; RESENDE, M. D. V. de; CRUZ, C. D. Comportamento da interação genótipos por locais aos três e nove anos em clones de eucalipto. Scientia Forestalis, Piracicaba, v. 46, n. 120, p. 594-605, dez. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; LOPES, P. S.; SILVA, F. F. Epigenética: mecanismos, herança e implicações no melhoramento animal. Archivos de Zootecnia, v. 68, n. 262, p. 304-311, 2019.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | MARCATTI, G. E.; RESENDE, R. T.; RESENDE, M. D. V. de; RIBEIRO, C. A. A. S.; SANTOS, A. R. dos; CRUZ, J. P. da; LEITE, H. G. GIS-based approach applied to optimizing recommendations of Eucalyptus genotypes. Forest Ecology and Management, v. 392, p. 144-153, 2017.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | RESENDE, R. T.; RESENDE, M. D. V.; SILVA, F. F.; AZEVEDO, C. F.; TAKAHASHI, E. K.; SILVA JUNIOR, O. B.; GRATTAPAGLIA, D. Assessing the expected response to genomic selection of individuals and families in Eucalyptus breeding with an additive-dominant model. Heredity, v. 119, p. 245-255, 2017.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | RESENDE, R. T.; TANNO, P.; SILVA JUNIOR, O. B. da; AGUIAR, A. V. de; SOUSA, V. A. de; SEBBENN, A.; GRATTAPAGLIA, D. Genetic analysis of growth curves of individual trees and country-wide provenances of Araucaria angustifolia shows huge potential for enhanced domestication, breeding and conservation of this iconic Brazilian conifer. Pesquisa Florestal Brasileira, Colombo, v. 39, (nesp), e201902043, 2019. p. 48. Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | RESENDE, R. T.; RESENDE, M. D. V. de; SILVA, F. F. S.; AZEVEDO, C. F. A.; TAKAHASHI, E. K. T.; SILVA JUNIOR, O. B. da; GRATTAPAGLIA, D. Regional heritability mapping and genome-wide association identify loci for complex growth, wood and disease resistance traits in Eucalyptus. New Phytologist, v. 213, p. 1287-1300, 2017.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 10. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R. de; SILVA, H. T.; CAETANO, G. C.; LOPES, P. S.; SILVA, F. F. Transgenerational epigenetic variance for body weight in meat quails. Journal of Animal Breeding and Genetics, v. 135, n. 3, p. 178-185, June 2018.| Biblioteca(s): Embrapa Florestas. |
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| 11. | | 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. 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. Forest Ecology and Management, v. 501, 119671, Dec. 2021. 13 p.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | RESENDE, R. T.; CARNEIRO, A. de C. O.; FERREIRA, R. A. D. C.; KUKI, K. N.; TEIXEIRA, R. U.; ZAIDAN, U. R.; SANTOS, R. D.; LEITE, H. G.; RESENDE, M. D. V. de. Air-drying of eucalypts logs: Genetic variations along time and stem profile. Industrial Crops and Products, v 124, p. 316-324, Nov. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 13. | | PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; CALDERANO, A. A.; LOPES, P. S.; VIANA, J. M. S.; SILVA, F. F. A note on transgenerational epigenetics affecting egg quality traits in meat-type quail. British Poultry Science, v. 59, n. 6, p. 624-628, 2018. Short Communication.| Biblioteca(s): Embrapa Florestas. |
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| 14. | | RESENDE, R. T.; SOARES, A. A. V.; FORRESTER, D. I.; MARCATTI, G. E.; SANTOS, A. R. dos; TAKAHASHI, E. K.; SILVA, F. F. e; GRATTAPAGLIA, D.; RESENDE, M. D. V. de; LEITE, H. G. Environmental uniformity, site quality and tree competition interact to determine stand productivity of clonal Eucalyptus. Forest Ecology and Management, v. 410, p. 76-83, Feb. 2018.| Biblioteca(s): Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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| 15. | | RESENDE, R. T.; RESENDE, M. D. V. de; AZEVEDO, C. F.; SILVA, F. F. e; MELO, L. C.; PEREIRA, H. S.; SOUZA, T. L. P. O. de; VALDISSER, P. A. M. R.; BRONDANI, C.; VIANELLO, R. P. Genome-wide association and regional heritability mapping of plant architecture, lodging and productivity in Phaseolus vulgaris. G3: Genes, Genomes, Genetics, v. 8, p. 2841-2854, Aug. 2018.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Florestas. |
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| Registros recuperados : 15 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
27/09/2021 |
|
Data da última atualização: |
16/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
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. |
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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. |
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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. |
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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 |
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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. |
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Thesaurus NAL: |
Early selection. |
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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
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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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