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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
23/03/2023 |
Data da última atualização: |
14/06/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; TRINDADE, R. dos S.; DIAS, L. A. S.; GUIMARAES, P. E. de O.; GUIMARAES, L. J. M.; ALVES, R. S.; BHERING, L. L.; DIAS, K. O. G. |
Afiliação: |
SAULO F. S. CHAVES, Universidade Federal de Viçosa; JENIFFER S. P. C. EVANGELISTA, Universidade Federal de Viçosa; ROBERTO DOS SANTOS TRINDADE, CNPMS; LUIZ A. S. DIAS, Universidade Federal de Viçosa; PAULO EVARISTO DE O GUIMARAES, CNPMS; LAURO JOSE MOREIRA GUIMARAES, CNPMS; RODRIGO S. ALVES, Universidade Federal de Viçosa; LEONARDO L. BHERING, Universidade Federal de Viçosa; KAIO O. G. DIAS, Universidade Federal de Viçosa. |
Título: |
Employing factor analytic tools for selecting high-performance and stable tropical maize hybrids. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Crop Science, v. 63, n. 3, p. 1114-1125, 2023. |
DOI: |
https://doi.org/10.1002/csc2.20911 |
Idioma: |
Inglês |
Conteúdo: |
Genotype-by-environment interaction (GEI) is a major concern in tropical maize breeding. Here, we used factor analytic mixed models (FAMM) to study GEI in a tropical maize dataset. Our goal was to select high-performance and stable hybrids using factor analytic selection tools (FAST) derived from FAMM outputs. Because the dataset comprised two different planting seasons, we also investigated differences in the genetic gains between seasonal and general selection (i.e., for both seasons simultaneously). The trials were installed in a lattice design with 36 hybrids containing two replicates and blocks with six plants each. We evaluated 53 hybrids and seven checks in 48 environments, represented by a combination of locations, years and seasons. We fitted the FAMMs with distinct sets of factors. The best-fitted FAMM was selected considering a parsimony-explained variance balance. Using the best FAMM for both seasonal and general analyses, we estimated the following selection tools: overall performance (OP); root mean square deviation (RMSD), which represents general stability; and responsiveness , which represents specific stability. We selected hybrids based on an index built with OP and RMSD. Five and three hybrids were selected considering both general and seasonal analyses for the first and second season, respectively. Two hybrids were amongst the top eight for both seasonal analyses (i.e., only first season and only second season simultaenously). Higher genetic gains may be obtained by employing FAMM and using FAST in each season rather than analysing both seasons in a joint fashion. MenosGenotype-by-environment interaction (GEI) is a major concern in tropical maize breeding. Here, we used factor analytic mixed models (FAMM) to study GEI in a tropical maize dataset. Our goal was to select high-performance and stable hybrids using factor analytic selection tools (FAST) derived from FAMM outputs. Because the dataset comprised two different planting seasons, we also investigated differences in the genetic gains between seasonal and general selection (i.e., for both seasons simultaneously). The trials were installed in a lattice design with 36 hybrids containing two replicates and blocks with six plants each. We evaluated 53 hybrids and seven checks in 48 environments, represented by a combination of locations, years and seasons. We fitted the FAMMs with distinct sets of factors. The best-fitted FAMM was selected considering a parsimony-explained variance balance. Using the best FAMM for both seasonal and general analyses, we estimated the following selection tools: overall performance (OP); root mean square deviation (RMSD), which represents general stability; and responsiveness , which represents specific stability. We selected hybrids based on an index built with OP and RMSD. Five and three hybrids were selected considering both general and seasonal analyses for the first and second season, respectively. Two hybrids were amongst the top eight for both seasonal analyses (i.e., only first season and only second season simultaenously). Higher genetic gains may be... Mostrar Tudo |
Palavras-Chave: |
Interação genótipo-ambiente. |
Thesagro: |
Genética Vegetal; Hibrido; Milho; Zea Mays. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
Marc: |
LEADER 02486naa a2200289 a 4500 001 2152618 005 2023-06-14 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1002/csc2.20911$2DOI 100 1 $aCHAVES, S. F. S. 245 $aEmploying factor analytic tools for selecting high-performance and stable tropical maize hybrids.$h[electronic resource] 260 $c2023 520 $aGenotype-by-environment interaction (GEI) is a major concern in tropical maize breeding. Here, we used factor analytic mixed models (FAMM) to study GEI in a tropical maize dataset. Our goal was to select high-performance and stable hybrids using factor analytic selection tools (FAST) derived from FAMM outputs. Because the dataset comprised two different planting seasons, we also investigated differences in the genetic gains between seasonal and general selection (i.e., for both seasons simultaneously). The trials were installed in a lattice design with 36 hybrids containing two replicates and blocks with six plants each. We evaluated 53 hybrids and seven checks in 48 environments, represented by a combination of locations, years and seasons. We fitted the FAMMs with distinct sets of factors. The best-fitted FAMM was selected considering a parsimony-explained variance balance. Using the best FAMM for both seasonal and general analyses, we estimated the following selection tools: overall performance (OP); root mean square deviation (RMSD), which represents general stability; and responsiveness , which represents specific stability. We selected hybrids based on an index built with OP and RMSD. Five and three hybrids were selected considering both general and seasonal analyses for the first and second season, respectively. Two hybrids were amongst the top eight for both seasonal analyses (i.e., only first season and only second season simultaenously). Higher genetic gains may be obtained by employing FAMM and using FAST in each season rather than analysing both seasons in a joint fashion. 650 $aGenética Vegetal 650 $aHibrido 650 $aMilho 650 $aZea Mays 653 $aInteração genótipo-ambiente 700 1 $aEVANGELISTA, J. S. P. C. 700 1 $aTRINDADE, R. dos S. 700 1 $aDIAS, L. A. S. 700 1 $aGUIMARAES, P. E. de O. 700 1 $aGUIMARAES, L. J. M. 700 1 $aALVES, R. S. 700 1 $aBHERING, L. L. 700 1 $aDIAS, K. O. G. 773 $tCrop Science$gv. 63, n. 3, p. 1114-1125, 2023.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registros recuperados : 12 | |
1. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. Acta Scientiarum. Agronomy, v. 44, e54136, 2022.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Algodão. |
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3. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Bragantia, v. 81, 2022. 12 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Café. |
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4. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. Models for optimizing selection based on adaptability and stability of cotton genotypes. Ciência Rural, v. 51, n. 5, e20200530, p. 1-8, 2021. 8 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Algodão. |
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5. | | EVANGELISTA, J. S. P. C.; ALVES, R. S.; PEIXOTO, M. A.; RESENDE, M. D. V. de; TEODORO, P. E.; SILVA, F. L. da; BHERING, L. L. Soybean productivity, stability, and adaptability through mixed model methodology. Ciência Rural, v. 51, n. 2, e20200406, 2021. Título em português: Produtividade, estabilidade e adaptabilidade da soja por meio de metodologia de modelo misto.Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Café. |
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6. | | CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FERREIRA, F. M.; DIAS, L. A. S.; ALVES, R. M.; DIAS, K. O. G.; BHERING, L. L. Application of linear mixed models for multiple harvest/site trial analyses in perennial plant breeding. Tree Genetics & Genomes, v. 18, n. 6, Article number: 44, Dec. 2022.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Amazônia Oriental. |
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7. | | CHAVES, S. F. S.; EVANGELISTA, J. S. P. C.; TRINDADE, R. dos S.; DIAS, L. A. S.; GUIMARAES, P. E. de O.; GUIMARAES, L. J. M.; ALVES, R. S.; BHERING, L. L.; DIAS, K. O. G. Employing factor analytic tools for selecting high-performance and stable tropical maize hybrids. Crop Science, v. 63, n. 3, p. 1114-1125, 2023.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Milho e Sorgo. |
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8. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I. F.; ALVES, R. S.; SILVA, F. F. e; RESENDE, M. D. V. de; SILVA, F. L. da; BHERING, L. L. Environmental stratification and genotype recommendation toward the soybean ideotype: a Bayesian approach. Crop Breeding and Applied Biotechnology, v. 21, n. 1, e359721111, 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
Biblioteca(s): Embrapa Café. |
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9. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F; ALVES, R. A.; LAVIOLA, B. G.; SILVA, F. F. e; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. PLOS ONE , v. 16, n. 3, e0247775, Mar. 2021. 16Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
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10. | | FERREIRA, F. M.; EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; ALVES, R. S.; SILVA, D. B.; MALIKOUSKI, R. G.; RESENDE, M. D. V. de; BHERING, L. L.; SANTOS, G. A. Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Bragantia, v. 81, e2922, 2022. 11 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Café. |
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11. | | EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; BHERING, E. L.; QUEIROZ, V. A. V.; SILVA, D. D. da; GUIMARAES, L. J. M.; DIAS, K. O. das G.; PASTINA, M. M. Seleção de genótipos de milho tropical com menor incidência de fumonisinas em grãos e alta produtividade via predição genômica. Sete Lagoas: Embrapa Milho e Sorgo, 2023. 17 p. (Embrapa Milho e Sorgo. Circular Técnica, 284).Biblioteca(s): Embrapa Milho e Sorgo. |
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12. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I. F.; FERREIRA, F. M.; MARÇAL, T. de S.; ALVES, R. S.; CHAVES, S. F. da S.; RODRIGUES, E. V.; LAVIOLA, B. G.; RESENDE, M. D. V. de; DIAS, K. O. das G.; BHERING, L. L. Modeling covariance structures and optimizing jatropha curcas breeding. Tree Genetics & Genomes, v. 19, 21, 2023. 11 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
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Registros recuperados : 12 | |
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Nenhum registro encontrado para a expressão de busca informada. |
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