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| 31. |  | FREITAS, M. L. M.; VILAS BOAS, M. P.; MORAES, M. L. T. Conservação genética da aroeira através do plantio consorciado com eucalipto. In: INTERNATIONAL CONGRESS AND EXHIBITION ON FOREST, 5., 1999, Curitiba. Forest 99: [resumos]. Rio de Janeiro: BIOSFERA, 1999. 1 CD-ROM. Autoria bilíngue: CONGRESSO E EXPOSICAO INTERNACIONAL SOBRE FLORESTAS, 5., 1999, Curitiba.| Biblioteca(s): Embrapa Florestas. |
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| 37. | | SILVA, A. AM.; AGUIAR, A. V.; MORAES, M. L. T.; ALVES, M. C.; BUZETTI, S. Recuperacao de areas degradadas com a utilizacao diferentes especies e variedades de Pinus. In: SIMPÓSIO NACIONAL RECUPERAÇÃO DE ÁREAS DEGRADADAS, 4., 2000, Blumenau. Silvicultura Ambiental: trabalhos voluntários, anais. Blumenau: Fundação Universidade Regional de Blumenau, 2000. p.176. Resumo.| Biblioteca(s): Embrapa Florestas. |
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| 40. | | SILVA, J. M. da; AGUIAR, A. V. de; MORI, E. S.; MORAES, M. L. T. de. Variação genética e ganho esperado na seleção de progênies de Pinus caribaea var. caribaea em Selvíria, MS. Scientia Forestalis, Piracicaba, v. 39, n. 90, p. 241-252, jun. 2011.| Biblioteca(s): Embrapa Florestas. |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
15/08/2018 |
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Data da última atualização: |
25/02/2019 |
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Autoria: |
OLIVEIRA, T. W. G. de; PAULA, R. C. de; MORAES, M. L. T. de; ALVARES, C. A.; MIRANDA, A. C.; SILVA, P. H. M. da. |
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Afiliação: |
Thiago Wendling Gonçalves de Oliveira, Universidade Federal do Paraná - UFPR/Departamento de Ciências Florestais; Rinaldo Cesar de Paula, Universidade Estadual Paulista - Unesp/Faculdade de Ciências Agrárias e Veterinárias; Mario Luiz Teixeira de Moraes, Universidade Estadual Paulista - Unesp/Faculdade de Engenharia; Clayton Alcarde Alvares, Suzano Papel e Celulose; Aline Cristina Miranda, Suzano Papel e Celulose/Unidade Mucuri; Paulo Henrique Muller da Silva, Instituto de Pesquisa e Estudos Florestais. |
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Título: |
Stability and adaptability for wood volume in the selection of Eucalyptus saligna in three environments. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 5, p. 611-619, maio, 2018. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Estabilidade e adaptabilidade para volume de madeira na seleção de Eucalyptus saligna em três ambientes. |
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Conteúdo: |
The objective of this work was to evaluate the genotype x environment (GxE) interaction in openpollinated Eucalyptus saligna progenies for simultaneous selection for greater stability and adaptability for wood volume, as well as to compare the selection strategies through combined and individual analyses in three environments. Three experiments were conducted in a randomized complete block design, with four replicates and six plants per plot, with 102 to 122 progenies. Three years after planting, survival rate and wood volume were evaluated. The genetic parameters were estimated by the maximum restricted likelihood and best linear unbiased prediction (REML/Blup) methods, and the stability and adaptability analysis was conducted using the harmonic mean of the relative performance of genetic values (HMRPGV). The highest survival rate (82%) was observed in Sabinópolis and the highest volume (120 m³ ha-1) in Lençóis Paulista. The mean heritability of progenies for the two analyzed variables was considered high, and the genetic correlations between survival rate and volume were weak for all sites. The G×E interaction was significant and of the complex type, with genotype correlation between sites of 47%, indicating that the ranking of the best progenies differed in each studied environment. The analysis of stability and adaptability indicated the possibility of selecting progenies with good performance in the three environments; however, to improve the quality of the evaluated characteristics, it is necessary to select specific progenies for each environment. MenosThe objective of this work was to evaluate the genotype x environment (GxE) interaction in openpollinated Eucalyptus saligna progenies for simultaneous selection for greater stability and adaptability for wood volume, as well as to compare the selection strategies through combined and individual analyses in three environments. Three experiments were conducted in a randomized complete block design, with four replicates and six plants per plot, with 102 to 122 progenies. Three years after planting, survival rate and wood volume were evaluated. The genetic parameters were estimated by the maximum restricted likelihood and best linear unbiased prediction (REML/Blup) methods, and the stability and adaptability analysis was conducted using the harmonic mean of the relative performance of genetic values (HMRPGV). The highest survival rate (82%) was observed in Sabinópolis and the highest volume (120 m³ ha-1) in Lençóis Paulista. The mean heritability of progenies for the two analyzed variables was considered high, and the genetic correlations between survival rate and volume were weak for all sites. The G×E interaction was significant and of the complex type, with genotype correlation between sites of 47%, indicating that the ranking of the best progenies differed in each studied environment. The analysis of stability and adaptability indicated the possibility of selecting progenies with good performance in the three environments; however, to improve the quality of the evaluated ch... Mostrar Tudo |
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Palavras-Chave: |
Forest breeding; Genotype × environment interaction; Interação genótipo x ambiente; Melhoramento florestal; REML/Blup. |
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Thesagro: |
Seleção Genética. |
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Thesaurus NAL: |
Natural selection. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181487/1/Stability-and-adaptability-for-wood-volume-in-the-selection.pdf
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Marc: |
LEADER 02610naa a2200277 a 4500
001 2094155
005 2019-02-25
008 2018 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, T. W. G. de
245 $aStability and adaptability for wood volume in the selection of Eucalyptus saligna in three environments.$h[electronic resource]
260 $c2018
500 $aTítulo em português: Estabilidade e adaptabilidade para volume de madeira na seleção de Eucalyptus saligna em três ambientes.
520 $aThe objective of this work was to evaluate the genotype x environment (GxE) interaction in openpollinated Eucalyptus saligna progenies for simultaneous selection for greater stability and adaptability for wood volume, as well as to compare the selection strategies through combined and individual analyses in three environments. Three experiments were conducted in a randomized complete block design, with four replicates and six plants per plot, with 102 to 122 progenies. Three years after planting, survival rate and wood volume were evaluated. The genetic parameters were estimated by the maximum restricted likelihood and best linear unbiased prediction (REML/Blup) methods, and the stability and adaptability analysis was conducted using the harmonic mean of the relative performance of genetic values (HMRPGV). The highest survival rate (82%) was observed in Sabinópolis and the highest volume (120 m³ ha-1) in Lençóis Paulista. The mean heritability of progenies for the two analyzed variables was considered high, and the genetic correlations between survival rate and volume were weak for all sites. The G×E interaction was significant and of the complex type, with genotype correlation between sites of 47%, indicating that the ranking of the best progenies differed in each studied environment. The analysis of stability and adaptability indicated the possibility of selecting progenies with good performance in the three environments; however, to improve the quality of the evaluated characteristics, it is necessary to select specific progenies for each environment.
650 $aNatural selection
650 $aSeleção Genética
653 $aForest breeding
653 $aGenotype × environment interaction
653 $aInteração genótipo x ambiente
653 $aMelhoramento florestal
653 $aREML/Blup
700 1 $aPAULA, R. C. de
700 1 $aMORAES, M. L. T. de
700 1 $aALVARES, C. A.
700 1 $aMIRANDA, A. C.
700 1 $aSILVA, P. H. M. da
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 53, n. 5, p. 611-619, maio, 2018.
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