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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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Autoria: |
SIMIQUELI, G. F.; RESENDE, R. T.; RESENDE, M. D. V. de. |
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Afiliação: |
GUILHERME FERREIRA SIMIQUELI, CORTEVA AGRISCIENCE; RAFAEL TASSINARI RESENDE, UNIVERSIDADE FEDERAL DE GOIÁS; MARCOS DEON VILELA DE RESENDE, CNPCa. |
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Título: |
Maximizing multi-trait gain and diversity with genetic algorithms. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
TreeDimensional, v. 10, e023001, p. 1-14, 2023. |
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DOI: |
https://doi.org/10.55746/treed.2023.03.001 |
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Idioma: |
Inglês |
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Conteúdo: |
Genetic gain followed by loss of diversity is not ideal in breeding programs for several species, and most studies face this problem for single traits. Thus, we propose a selection method based on Genetic Algorithms (GA) to optimize the gains for multi-traits that have a low reduction of status number (NS), which takes into account equal contributions from individuals as a result of practical issues in tree breeding. Real data were used to compare GA with a method based on a branch and bound algorithm (BB) for the single-trait problem. Simulated and real data were used to compare GA with a multi-trait method adapted from Mulamba and Mock (MM) (a genotypic ranking approach) through a range of selected individuals’ portions. The GA reached a similar gain and NS in a shorter processing time than BB. This shows the efficacy of GA in solving combinatorial NP-hard problems. In a selected portion of 1% and 2.5%, the GA had low reduction in the overall gain average and greater NS than the MM. In a selection of 20%, the GA reached the same NS as the base population and a greater gain than MM for the simulated data. The GA selected a lower number of individuals than expected at 10% and 20% selection, which contributed to a more practical breeding program that maintained the gains and without the loss of genetic diversity. Thus, GA proved to be a reliable optimization tool for multi-trait scenarios, and it can be effectively applied in tree breeding. |
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Thesaurus Nal: |
Algorithms; Genetics; System optimization; Tree breeding. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159354/1/Maximizing-multi-trait-gain.pdf
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Marc: |
LEADER 02078naa a2200205 a 4500
001 2159354
005 2023-12-08
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.55746/treed.2023.03.001$2DOI
100 1 $aSIMIQUELI, G. F.
245 $aMaximizing multi-trait gain and diversity with genetic algorithms.$h[electronic resource]
260 $c2023
520 $aGenetic gain followed by loss of diversity is not ideal in breeding programs for several species, and most studies face this problem for single traits. Thus, we propose a selection method based on Genetic Algorithms (GA) to optimize the gains for multi-traits that have a low reduction of status number (NS), which takes into account equal contributions from individuals as a result of practical issues in tree breeding. Real data were used to compare GA with a method based on a branch and bound algorithm (BB) for the single-trait problem. Simulated and real data were used to compare GA with a multi-trait method adapted from Mulamba and Mock (MM) (a genotypic ranking approach) through a range of selected individuals’ portions. The GA reached a similar gain and NS in a shorter processing time than BB. This shows the efficacy of GA in solving combinatorial NP-hard problems. In a selected portion of 1% and 2.5%, the GA had low reduction in the overall gain average and greater NS than the MM. In a selection of 20%, the GA reached the same NS as the base population and a greater gain than MM for the simulated data. The GA selected a lower number of individuals than expected at 10% and 20% selection, which contributed to a more practical breeding program that maintained the gains and without the loss of genetic diversity. Thus, GA proved to be a reliable optimization tool for multi-trait scenarios, and it can be effectively applied in tree breeding.
650 $aAlgorithms
650 $aGenetics
650 $aSystem optimization
650 $aTree breeding
700 1 $aRESENDE, R. T.
700 1 $aRESENDE, M. D. V. de
773 $tTreeDimensional$gv. 10, e023001, p. 1-14, 2023.
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Registro original: |
Embrapa Café (CNPCa) |
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| Registros recuperados : 8 | |
| 5. |  | SANTIN, D.; BENEDETTI, E. L.; BARROS, N. F. de; ALMEIDA, I. C. de; SIMIQUELI, G. F.; NEVES, J. C. L.; WENDLING, I.; REISSMANN, C. B. Adubação nitrogenada e intervalos de colheita na produtividade e nutrição da erva-mate e em frações de carbono e nitrogênio do solo. Ciência Florestal, Santa Maria, v. 29, n. 3, p. 1199-1214, jul./set. 2019.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Florestas. |
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| 6. | | GALLO, R.; PANTUZA, I. B.; SANTOS, G. A. dos; RESENDE, M. D. V. de; XAVIER, A.; SIMIQUELI, G. F.; BALDIN, T.; SANTOS, O. P. dos; VALENTE, B. M. dos R. T. Growth and wood quality traits in the genetic selection of potential Eucalyptus dunnii Maiden clones for pulp production. Industrial Crops and Products, v 123, p. 434-441, Nov. 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Florestas. |
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| 7. | | TORRES, L. G.; OLIVEIRA, E. J. de; OGBONNA, A. C.; BAUCHET, G. J.; MUELLER, L. A.; AZEVEDO, C. F.; SILVA, F. F.; SIMIQUELI, G. F.; RESENDE, M. D. V. de. Can cross-country genomic predictions be a reasonable strategy to support germplasm exchange? A case study with hydrogen cyanide in cassava. Frontiers in Plant Science, v. 12, 742638, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Café; Embrapa Mandioca e Fruticultura. |
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| 8. | | MIRANDA, T. L. R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; NUNES, A. C. P.; TAKAHASHI, E. K.; SIMIQUELI, G. F.; SILVA, F. F. e; ALVES, R. S. Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection. Scientia Agricola, v. 79, n. 6, p. 1-7, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Café. |
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| Registros recuperados : 8 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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