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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
10/01/2023 |
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Data da última atualização: |
11/07/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. |
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Afiliação: |
REGIANE ABJAUD ESTOPA, FORESTRY R&D - KLABIN S.A; JOÃO GABRIEL ZANON PALUDETO, FORESTRY R&D - KLABIN S.A; BÁRBARA SALOMÃO FARIA MÜLLER, UNIVERSITY OF FLORIDA; RICARDO AUGUSTO DE OLIVEIRA, UNIVERSIDADE FEDERAL DE VIÇOSA; CAMILA FERREIRA AZEVEDO, UNIVERSIDADE FEDERAL DE VIÇOSA; MARCOS DEON VILELA DE RESENDE, CNPCa; EVANDRO VAGNER TAMBARUSSI, UNIVERSIDADE ESTADUAL DO CENTRO-OESTE; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
New Forests, 54, 2023. |
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DOI: |
https://doi.org/10.1007/s11056-022-09924-y |
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Idioma: |
Inglês |
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Conteúdo: |
Genomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions. MenosGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density mult... Mostrar Tudo |
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Thesaurus Nal: |
Eucalyptus benthamii; Genomics; Genotyping; Wood quality. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02502naa a2200265 a 4500
001 2150837
005 2023-07-11
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11056-022-09924-y$2DOI
100 1 $aESTOPA, R. A.
245 $aGenomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density.$h[electronic resource]
260 $c2023
520 $aGenomic selection (GS) is poised to revolutionize eucalypt tree improvement by shortening breeding cycles and increasing selection intensities. This could be particularly valuable for alternative, non-mainstream Eucalyptus species that are still in the initial stages of breeding. Eucalyptus benthamii is important for its adaptation to frost-prone subtropical regions. In this work, we compared seven genomic prediction models, six Bayesian and one frequentist GBLUP (Genomic Best Linear Unbiased Prediction) with the conventional pedigree-based ABLUP approach. Models were evaluated for their ability to estimate heritabilities and predict wood quality traits (wood density, extractives, lignin, and carbohydrates content) and volume growth in 77 open-pollinated families of Eucalyptus benthamii. We also evaluated predictive abilities and heritabilities using variable numbers of SNP in the models. Heritabilities ranged from 0.09 (extractives content) using Bayesian Lasso (BL) to 0.55 (wood density) using ABLUP. Predictive abilities (PA) ranged from 0.12 (for volume using ABLUP) to 0.44 (for wood density using three Bayesian models). All seven genomic models performed similarly well and better than the pedigree model for all traits, except extractives content. Subsets of 5000?7000 SNPs yielded heritabilities and PAs nearly as large as using all 15,293 SNPs. However, a low-density SNP panel might not be economically and technically advantageous compared to the current high-density multi-species Eucalyptus EUCHIP60k. Our results support a positive outlook to implement GS to accelerate Eucalyptus benthamii breeding for adaptation to frost-prone regions.
650 $aEucalyptus benthamii
650 $aGenomics
650 $aGenotyping
650 $aWood quality
700 1 $aPALUDETO, J. G. Z.
700 1 $aMÜLLER, B. S. F.
700 1 $aOLIVEIRA, R. A. de
700 1 $aAZEVEDO, C. F.
700 1 $aRESENDE, M. D. V. de
700 1 $aTAMBARUSSI, E. V.
700 1 $aGRATTAPAGLIA, D.
773 $tNew Forests, 54, 2023.
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Registro original: |
Embrapa Café (CNPCa) |
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Biblioteca |
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| Registros recuperados : 12 | |
| 3. |  | ANDREJOW, G. M. P.; PEDRASSANI, D.; TUSSULINI, F.; ANGELO, A. C.; TAMBARUSSI, E. V.; AUER, C. G. Planalto norte catarinense: considerações sobre o setor florestal e eucaliptocultura. DRD - Desenvolvimento Regional em Debate, v. 8, n. 2, p. 143-168, jul./dez. 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 3 |
| Biblioteca(s): Embrapa Florestas. |
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| 4. | | SOARES, I. D.; AUER, C. G.; SANTOS, A. F. dos; TAMBARUSSI, E. V.; REZENDE, E. H.; COELHO, T. A. do V.; DUIN, I. M. Fungos associados à mancha foliar em Eucalyptus benthamii Maiden et Cambage na Região Sul do Brasil. BIOFIX Scientific Journal, v. 2, n. 2, p. 32-37, 2017.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 5 |
| Biblioteca(s): Embrapa Florestas. |
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| 5. | | ESTOPA, R. A.; PALUDETO, J. G. Z.; MÜLLER, B. S. F.; OLIVEIRA, R. A. de; AZEVEDO, C. F.; RESENDE, M. D. V. de; TAMBARUSSI, E. V.; GRATTAPAGLIA, D. Genomic prediction of growth and wood quality traits in Eucalyptus benthamii using different genomic models and variable SNP genotyping density. New Forests, 54, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Café; Embrapa Recursos Genéticos e Biotecnologia. |
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| 6. | | BRAGA, R. C.; PALUDETO, J. G. Z.; SOUZA, B. M.; AGUIAR, A. V. de; POLLNOW, M. F. M.; CARVALHO, A. G. M.; TAMBARUSSI, E. V. Genetic parameters and genotype × environment interaction in Pinus taeda clonal tests. Forest Ecology and Management, v. 474, 118342, Oct. 2020. 8 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 7. | | GANDARA, F. B.; TAMBARUSSI, E. V.; SEBBENN, A. M.; FERRAZ, E. M.; MORENO, M. A.; CIAMPI. A. Y.; VIANELLO, R. P.; GRATTAPAGLIA, D.; KAGEYAMA, P. Y. Development and characterization of microsatellite loci for Cedrela fissilis Vell (Meliaceae), an endangered tropical tree species. Silvae Genetica, v. 63, n. 5, p. 240-243, 2014.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | MIRANDA, I. D. S.; AUER, C. G.; SANTOS, A. F. dos; FERREIRA, M. A.; TAMBARUSSI, E. V.; SILVA, R. A. F. da; REZENDE, E. H. Occurrence of Calonectria leaf blight in Eucalyptus benthamii progenies and potential for disease resistance. Tropical Plant Pathology, v. 46, n. 3, p. 254-264, June 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Florestas. |
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| 9. | | GARRETT, A. T. de A.; SANTOS, A. F. dos; FIGUEIREDO FILHO, A.; TAMBARUSSI, E. V.; GONÇALVES, A. B.; GARCIA, F. A. de O. Mycelial growth and sporulation of Apoharknessia eucalyptorum on different culture media. Summa Phytopathologica, Botucatu, v. 45, n. 3, p. 272-278, 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 11. | | IBANES, B.; SEBBENN, A. M.; AZEVEDO, V. C. R.; MORENO, M. A.; GANDARA, F. B.; TAMBARUSSI, E. V.; FERRAZ, E. M.; SILVA, K. J. D. e; LIMA, P. S. da C.; CARVALHAES, M. A. Genetic diversity and spatial genetic structure in populations of Orbignya phalerata Mart. under different exploitation intensities in the Brazilian savanna. Silvae Genetica, v. 64, n. 5-6, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Meio-Norte; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | SOUZA, B. M.; AGUIAR, A. V. de; DAMBRAT, H. M.; GALUCHA, S. C.; TAMBARUSSI, E. V.; SESTREM, M. S. C. da S.; TOMIGIAN, D. S.; FREITAS, M. L. M.; VENSON, I.; TORRES-DINI, D.; LONGUI, E. L. Effects of previous land use on genotype-by-environment interactions in two loblolly pine progeny tests. Forest Ecology and Management, v. 503, 119762, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 12 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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