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| 4. |  | MÜLLER, N. T. G.; FORTES, G. R. L.; MEDEIROS C. A. B.; CUNHA, B. P. Propagação in vitro de Allium sativum L. Horticultura Brasileira, v. 23, n. 2. p.605, ago 2005. Suplemento. Edição dos resumos: CONGRESSO BRASILEIRO DE OLERICULTURA, 45.; CONGRESSO BRASILEIRO DE FLORICULTURA E PLANTAS ORNAMENTAIS, 15.; CONGRESSO BRASILEIRO DE CULTURA DE TECIDOS DE PLANTAS, 2., 2005, Fortaleza, CE.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | MULLER, N. T. G.; MEDEIROS, C. A. B.; CUNHA, B. P. da. Avaliação de soluções nutritivas no cultivo hidropônico de sementes pré-básicas de alho. Horticultura Brasileira, Brasília, v. 21, n. 2, jul. 2003. Suplemento 2. Trabalho apresentado no 43º Congresso Brasileiro de Olericultura, 2003. Publicado também como resumo em: Horticultura Brasileira, Brasília, v. 21, n. 2, p. 372, jul. 2003. Suplemento 1.| Biblioteca(s): Embrapa Hortaliças. |
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| 6. | | MULLER, N. T. G.; MEDEIROS, C. A. B.; DANIELS, J.; CUNHA, B. P. da. Sementes pré-básicas de alho: produção em sistemas hidropônicos. Horticultura Brasileira, Brasília, DF, v. 20, n. 2, jul. 2002. Suplemento 2. 1 CD-ROM. Trabalho apresentado no 42º Congresso Brasileiro de Olericultura, 2002. Publicado também como resumo em: Horticultura Brasileira, Brasília, DF, v. 20, n. 2, p. 284, jul. 2002. Suplemento 1.| Biblioteca(s): Embrapa Hortaliças. |
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| 7. | | CENTELLAS, A. Q.; FORTES, G. R. de L.; MULLER, N. T. G.; ZANOL, G. C.; FLORES, R.; GOTTINARI, R. A. Efeito de auxinas sintéticas no enraizamento in vitro da macieira. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 34, n. 2, p. 181-86, fev. 1999 Título em inglês: Effects of synthetic auxins on the in vitro rooting of apple tree.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 8. | | CENTELLAS, A. Q.; FORTES, G. R. de L.; SILVA, J. B. da; ZANOL, G. C.; MULLER, N. T. G.; FARIA, J. T. C. Efeito do TDZ na multiplicacao in vitro da macieira (Malus domestica, Borkh.) cv. fred hough. Revista Brasileira de Fruticultura, v.19, n.3, p.393-396, Cruz das Almas, 1997| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Caprinos e Ovinos. Para informações adicionais entre em contato com cnpc.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
17/02/2020 |
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Data da última atualização: |
01/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
MONTENEGRO, A. R.; SILVA, L. P. da; LOBO, R. N. B. |
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Afiliação: |
ASSIS RUBENS MONTENEGRO, Universidade Federal do Ceará (UFC) - Fortaleza, CE, Brazil; LUCIANO PINHEIRO DA SILVA, Universidade Federal do Ceará (UFC) - Fortaleza, CE, Brazil; RAIMUNDO NONATO BRAGA LOBO, CNPC. |
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Título: |
Effect of different mating systems on population structure and genetic progress of a simulated small flock. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Environmental Sciences and Natural Resources, v. 21, n. 1, e556051, 2019. |
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DOI: |
10.19080/IJESNR.2019.21.556051 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Strategies to promote genetic progress or preserve genetic diversity in small populations may change due to population size. Higher inbreeding coefficients are associated to the use of breeding values predicted by mixed model methodology, which tends to score better animals within the best families. The reduced effective population size makes herds more susceptible to genetic drift and inbred matings. We compared three methodologies/software on simulated data that reproduced small-closed populations: Mate Selection (evolutionary differential), Gencont (Lagrange Multipliers) and SGRmate (linear programming). Algorithms optimized the objective function in order to achieve the higher genetic progress, but with an inbreeding coefficient of less than 10%, selecting the necessary number of sires and forming the reproductive pairs, except for Gencont, whose objective function was only to minimize the coancestry. All software generated populations with similar genetic progress. Mate Selection generated populations with the highest levels of inbreeding coefficients, similar to RANDOM, which presented best controlled mating between relatives. Gencont produced populations with intermediate levels of inbreeding. SGRmate maintained lowest levels of inbreeding due to higher number of sires selected and equal proportionality in combination of the pairs. Use of linear programming (SGRmate) was more efficient in maintaining the genetic diversity of small-closed populations |
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Palavras-Chave: |
Animal population; Breeding programs; Differential evolutionary algorithm; Mating optimization; Optimal genetic contribution; Optimization methods. |
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Thesaurus NAL: |
Animal genetics; Computer software; Linear programming; Selection criteria. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02435naa a2200277 a 4500
001 2120327
005 2020-12-01
008 2019 bl uuuu u00u1 u #d
024 7 $a10.19080/IJESNR.2019.21.556051$2DOI
100 1 $aMONTENEGRO, A. R.
245 $aEffect of different mating systems on population structure and genetic progress of a simulated small flock.$h[electronic resource]
260 $c2019
520 $aAbstract: Strategies to promote genetic progress or preserve genetic diversity in small populations may change due to population size. Higher inbreeding coefficients are associated to the use of breeding values predicted by mixed model methodology, which tends to score better animals within the best families. The reduced effective population size makes herds more susceptible to genetic drift and inbred matings. We compared three methodologies/software on simulated data that reproduced small-closed populations: Mate Selection (evolutionary differential), Gencont (Lagrange Multipliers) and SGRmate (linear programming). Algorithms optimized the objective function in order to achieve the higher genetic progress, but with an inbreeding coefficient of less than 10%, selecting the necessary number of sires and forming the reproductive pairs, except for Gencont, whose objective function was only to minimize the coancestry. All software generated populations with similar genetic progress. Mate Selection generated populations with the highest levels of inbreeding coefficients, similar to RANDOM, which presented best controlled mating between relatives. Gencont produced populations with intermediate levels of inbreeding. SGRmate maintained lowest levels of inbreeding due to higher number of sires selected and equal proportionality in combination of the pairs. Use of linear programming (SGRmate) was more efficient in maintaining the genetic diversity of small-closed populations
650 $aAnimal genetics
650 $aComputer software
650 $aLinear programming
650 $aSelection criteria
653 $aAnimal population
653 $aBreeding programs
653 $aDifferential evolutionary algorithm
653 $aMating optimization
653 $aOptimal genetic contribution
653 $aOptimization methods
700 1 $aSILVA, L. P. da
700 1 $aLOBO, R. N. B.
773 $tInternational Journal of Environmental Sciences and Natural Resources$gv. 21, n. 1, e556051, 2019.
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