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| Registros recuperados : 12 | |
| 1. |  | SOUZA, B. M. de; FREITAS, M. L. M.; GEZAN, S. A.; ZANATTO, B.; AGUIAR, A. V. de. Genetic parameters, genotype-by-environment interaction, and genetic gains in Corymbia citriodora hook. In: SIMPOSIO INTERNACIONAL DE RECURSOS GENÉTICOS PARA LAS AMÉRICAS Y EL CARIBE, 11., 2017, Guadalajara. Resúmenes... Guadalajara: [s. n.], 2017. p. 172.| Biblioteca(s): Embrapa Florestas. |
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| 3. | | DIAS, K. O. das G.; GEZAN, S. A.; GUIMARAES, C. T.; NODA, R. W.; SOUZA, J. C. de; PASTINA, M. M.; GUIMARAES, L. J. M. Seleção genômica para tolerância ao déficit hídrico em milho. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | MUÑOZ, P. R.; RESENDE JUNIOR, M. F. R.; GEZAN, S. A.; RESENDE, M. D. V. de; CAMPOS, G. de los; KIRST, M.; HUBER, D.; PETER, G. F. Unraveling additive from nonadditive effects using genomic relationship matrices. Genetics, v. 198, p. 1759-1768, Dec. 2014.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | SOUZA, B. M. de; FREITAS, M. L. M.; SEBBENN, A. M.; GEZAN, S. A.; ZANATTO, B.; ZULIAN, D. F.; LOPES, M. T. G.; LONGUI, E. L.; GUERRINI, I. A.; AGUIAR, A. V. de. Genotype-by-environment interaction in Corymbia citriodora (Hook.) K.D. Hill, & L.A.S. Johnson progeny test in Luiz Antonio, Brazil. Forest Ecology and Management, v. 460, article 117855, Mar. 2020. 8 p.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | RIOS, E. F.; ANDRADE, M. H. M. L.; RESENDE JR, M. F. R.; KIRST, M.; RESENDE, M. D. V. de; ALMEIDA FILHO, J. O. E. de; GEZAN, S. A.; MUNOZ, P. Genomic prediction in family bulks using different traits and cross-validations in pine. G3: Genes, Genomes, Genetics, v. 11, n. 9, p. 1-12, 2021.| Biblioteca(s): Embrapa Café. |
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| 7. | | MULLER, B. S. F.; ALMEIDA FILHO, J. E. de; LIMA, B. M.; GARCIA, C. C.; MISSIAGGIA, A.; AGUIAR, A. M.; TAKAHASHI, E.; KIRST, M.; GEZAN, S. A.; SILVA JUNIOR, O. B. da; NEVES, L. G.; GRATTAPAGLIA, D. Independent and Joint-GWAS for growth traits in Eucalyptus by assembling genome-wide data for 3373 individuals across four breeding populations. The New phytologist, v. 221, n. 2, p. 818-833, 2019. Na publicação: Orzenil B. Silva-Junior.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | FERREIRA, F. M.; CHAVES, S. F. S.; BHERING, L. L.; ALVES, R. S.; TAKAHASHI, E. K.; SOUSA, J. E.; RESENDE, M. D. V. de; LEITE, F. P.; GEZAN, S. A.; VIANA, J. M. S.; FERNANDES, S. B.; DIAS, K. O. G. A novel strategy to predict clonal composites by jointly modeling spatial variation and genetic competition. Forest Ecology and Management, v. 548, Article 121393, 2023. 10 p.| Biblioteca(s): Embrapa Café. |
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| 9. | | OLIVEIRA, I. C. M.; GUILHEN, J. H. S.; RIBEIRO, P. C. de O.; GEZAN, S. A.; SCHAFFERT, R. E.; SIMEONE, M. L. F.; DAMASCENO, C. M. B.; CARNEIRO, J. E. de S.; CARNEIRO, P. C. S.; PARRELLA, R. A. da C.; PASTINA, M. M. Genotype-by-environment interaction and yield stability analysis of biomass sorghum hybrids using factor analytic models and environmental covariates. Field Crops Research, v. 257, 107929, 2020.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 10. | | DIAS, K. O. das G.; GEZAN, S. A.; GUIMARÃES, C. T.; NAZARIAN, A.; SILVA, L. da C. e; PARENTONI, S. N.; GUIMARAES, P. E. de O.; ANONI, C. de O.; PÁDUA, J. M. V.; PINTO, M. de O.; NODA, R. W.; RIBEIRO, C. A. G.; MAGALHAES, J. V. de; GARCIA, A. A. F.; SOUZA, J. C. de; GUIMARAES, L. J. M.; PASTINA, M. M. Improving accuracies of genomic predictions for drought tolerance in maize by joint modeling of additive and dominance effects in multi-environment trials. Heredity, London, v. 121, n. 1, p. 24-37, 2018.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 11. | | PADUA, J. M. V.; DIAS, K. O. das G.; PASTINA, M. M.; SOUZA, J. C. de; QUEIROZ, V. A. V.; COSTA, R. V. da; SILVA, M. B. P. da; RIBEIRO, C. A. G.; GUIMARAES, C. T.; GEZAN, S. A.; GUIMARAES, L. J. M. A multi-environment trials diallel analysis provides insights on the inheritance of fumonisin contamination resistance in tropical maize. Euphytica, Dordrecht, v. 211, n. 3, p. 277-285, 2016| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 12. | | DIAS, K. O. das G.; GEZAN, S. A.; GUIMARAES, C. T.; MAGALHAES, J. V. de; GUIMARAES, P. E. de O.; CARNEIRO, N. P.; PORTUGAL, A. F.; BASTOS, E. A.; CARDOSO, M. J.; ANONI, C. de O.; SOUZA, J. C. de; GUIMARAES, L. J. M.; PASTINA, M. M. Estimating genotype X environment interaction for and genetic correlations among drought tolerance traits in maize via factor analytic multiplicative mixed models. Crop Science, Madison, v. 58, p. 72-83, Jan. 2018. Publicado online em 30 out. 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 12 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
08/12/2023 |
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Data da última atualização: |
08/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
FERREIRA, F. M.; CHAVES, S. F. S.; BHERING, L. L.; ALVES, R. S.; TAKAHASHI, E. K.; SOUSA, J. E.; RESENDE, M. D. V. de; LEITE, F. P.; GEZAN, S. A.; VIANA, J. M. S.; FERNANDES, S. B.; DIAS, K. O. G. |
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Afiliação: |
FILIPE M. FERREIRA, UNIVERSIDADE FEDERAL DE VIÇOSA; SAULO F. S. CHAVES, UNIVERSIDADE FEDERAL DE VIÇOSA; LEONARDO L. BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO S. ALVES, CELULOSE NIPO BRASILEIRA S.A; ELIZABETE K. TAKAHASHI, CELULOSE NIPO BRASILEIRA S.A; JOÃO E. SOUSA, CELULOSE NIPO BRASILEIRA S.A; MARCOS DEON VILELA DE RESENDE, CNPCa; FERNANDO P. LEITE, CELULOSE NIPO BRASILEIRA S.A; SALVADOR A. GEZAN, VSN INTERNATIONAL; JOSÉ M. S. VIANA, UNIVERSIDADE FEDERAL DE VIÇOSA; SAMUEL B. FERNANDES, UNIVERSITY OF ARKANSAS; KAIO O. G. DIAS, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
A novel strategy to predict clonal composites by jointly modeling spatial variation and genetic competition. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Forest Ecology and Management, v. 548, Article 121393, 2023. |
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Páginas: |
10 p. |
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DOI: |
https://doi.org/10.1016/j.foreco.2023.121393 |
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Idioma: |
Inglês |
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Conteúdo: |
Biotic and abiotic stresses have been making it difficult to maintain the rates of genetic gains in forest tree breeding. Planting a mixture of genotypes or clonal composites can be an alternative to increase the security of forest plantations. The formation of clonal composites is complex due to inter-genotypic competition and indirect genotypic effects that can affect the efficiency of genetic selection. This study aims to understand how indirect genotypic effects can impact the response to selection and how the stand composition can be used to explore these effects and enhance forest yield. We used two clonal trials of eucalyptus hybrids implanted in a randomized complete block design with 24 replications, containing a single tree per plot evaluated for mean annual increment at 3 and 6 years. We focused on partitioning the genotypic variation into direct and indirect genotypic effects based on competition intensity factors. We identified aggressive, homeostatic, and sensitive clones based on the magnitude of indirect genotypic effects. Considering indirect genotypic effects, for mean annual increment, the total heritability decreased from 0.25 to 0.10 for 3 years and from 0.30 to 0.14 for 6 years, respectively. We proposed a workflow that uses the direct and indirect genotypic effects to predict the mean values for clonal composite combinations and to select the one with the highest yield. Our methodology considered spatial variation and interplot competition that can affect the total heritable estimates and response to selection in forest trials. The clones were classified as aggressive, homeostatic, and sensitive, according to their deviation from the indirect genotypic effects means. Our methodology enabled the extraction of useful information and predict many clonal composites' performance, which can be used in recommending genotypes to be planted in mixtures. MenosBiotic and abiotic stresses have been making it difficult to maintain the rates of genetic gains in forest tree breeding. Planting a mixture of genotypes or clonal composites can be an alternative to increase the security of forest plantations. The formation of clonal composites is complex due to inter-genotypic competition and indirect genotypic effects that can affect the efficiency of genetic selection. This study aims to understand how indirect genotypic effects can impact the response to selection and how the stand composition can be used to explore these effects and enhance forest yield. We used two clonal trials of eucalyptus hybrids implanted in a randomized complete block design with 24 replications, containing a single tree per plot evaluated for mean annual increment at 3 and 6 years. We focused on partitioning the genotypic variation into direct and indirect genotypic effects based on competition intensity factors. We identified aggressive, homeostatic, and sensitive clones based on the magnitude of indirect genotypic effects. Considering indirect genotypic effects, for mean annual increment, the total heritability decreased from 0.25 to 0.10 for 3 years and from 0.30 to 0.14 for 6 years, respectively. We proposed a workflow that uses the direct and indirect genotypic effects to predict the mean values for clonal composite combinations and to select the one with the highest yield. Our methodology considered spatial variation and interplot competition that can aff... Mostrar Tudo |
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Thesaurus NAL: |
Clonal variation; Eucalyptus; Forest trees; Plant breeding; Plant competition; Quantitative genetics. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02942naa a2200349 a 4500
001 2159376
005 2023-12-08
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foreco.2023.121393$2DOI
100 1 $aFERREIRA, F. M.
245 $aA novel strategy to predict clonal composites by jointly modeling spatial variation and genetic competition.$h[electronic resource]
260 $c2023
300 $a10 p.
520 $aBiotic and abiotic stresses have been making it difficult to maintain the rates of genetic gains in forest tree breeding. Planting a mixture of genotypes or clonal composites can be an alternative to increase the security of forest plantations. The formation of clonal composites is complex due to inter-genotypic competition and indirect genotypic effects that can affect the efficiency of genetic selection. This study aims to understand how indirect genotypic effects can impact the response to selection and how the stand composition can be used to explore these effects and enhance forest yield. We used two clonal trials of eucalyptus hybrids implanted in a randomized complete block design with 24 replications, containing a single tree per plot evaluated for mean annual increment at 3 and 6 years. We focused on partitioning the genotypic variation into direct and indirect genotypic effects based on competition intensity factors. We identified aggressive, homeostatic, and sensitive clones based on the magnitude of indirect genotypic effects. Considering indirect genotypic effects, for mean annual increment, the total heritability decreased from 0.25 to 0.10 for 3 years and from 0.30 to 0.14 for 6 years, respectively. We proposed a workflow that uses the direct and indirect genotypic effects to predict the mean values for clonal composite combinations and to select the one with the highest yield. Our methodology considered spatial variation and interplot competition that can affect the total heritable estimates and response to selection in forest trials. The clones were classified as aggressive, homeostatic, and sensitive, according to their deviation from the indirect genotypic effects means. Our methodology enabled the extraction of useful information and predict many clonal composites' performance, which can be used in recommending genotypes to be planted in mixtures.
650 $aClonal variation
650 $aEucalyptus
650 $aForest trees
650 $aPlant breeding
650 $aPlant competition
650 $aQuantitative genetics
700 1 $aCHAVES, S. F. S.
700 1 $aBHERING, L. L.
700 1 $aALVES, R. S.
700 1 $aTAKAHASHI, E. K.
700 1 $aSOUSA, J. E.
700 1 $aRESENDE, M. D. V. de
700 1 $aLEITE, F. P.
700 1 $aGEZAN, S. A.
700 1 $aVIANA, J. M. S.
700 1 $aFERNANDES, S. B.
700 1 $aDIAS, K. O. G.
773 $tForest Ecology and Management$gv. 548, Article 121393, 2023.
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