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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
10/04/2014 |
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Data da última atualização: |
18/07/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RESENDE, R. M. S.; CASLER, M. D.; RESENDE, M. D. V. de. |
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Afiliação: |
ROSANGELA MARIA SIMEAO RESENDE, CNPGC; Michael D. Casler, USDA-ARS, U.S. Dairy Forage Research Center; MARCOS DEON VILELA DE RESENDE, CNPF. |
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Título: |
Genomic selection in forage breeding: accuracy and methods. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Crop Science, v. 54, p. 143-156, Jan./Feb. 2014. |
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DOI: |
10.2135/cropsci2013.05.0353 |
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Idioma: |
Inglês |
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Conteúdo: |
The main benefits expected from genomic selection in forage grasses and legumes are to increase selection accuracy, reduce cycle time, and potentially reduce evaluation costs per genotype. Aiming at designing a training population and first generation of selection, deterministic equations were used to compare the gain and accuracy of six genomic selection methods implemented within the context of traditional experimental plot designs used in forage breeding. Combined use of both phenotypic and genotypic information was superior to other methods using low density markers (approximately three per cM) and for heritability lower than 0.6 but resulted in lower selection gain per year in relation to individual genomic selection using higher marker density. Initial accuracies were increased by a selection index method proposed as a procedure to improve long-term rates of gain for advanced generations using genomic selection. Application of genomic selection methods to forage breeding is expected to be of greatest value under the following circumstances: (i) when phenotypic evaluation of individual plants is incapable of predicting performance under sward conditions, (ii) when it is difficult or impossible to apply meaningful selection pressure within families, or (iii) when time-intensive phenotypic evaluations necessitate long cycle times, for example, 4 to 5 yr. |
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Palavras-Chave: |
Forrageira; Genomic selection; Melhoramento genético; Seleção genômica. |
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Thesaurus Nal: |
forage; plant breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
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001 1984313
005 2017-07-18
008 2014 bl uuuu u00u1 u #d
024 7 $a10.2135/cropsci2013.05.0353$2DOI
100 1 $aRESENDE, R. M. S.
245 $aGenomic selection in forage breeding$baccuracy and methods.$h[electronic resource]
260 $c2014
520 $aThe main benefits expected from genomic selection in forage grasses and legumes are to increase selection accuracy, reduce cycle time, and potentially reduce evaluation costs per genotype. Aiming at designing a training population and first generation of selection, deterministic equations were used to compare the gain and accuracy of six genomic selection methods implemented within the context of traditional experimental plot designs used in forage breeding. Combined use of both phenotypic and genotypic information was superior to other methods using low density markers (approximately three per cM) and for heritability lower than 0.6 but resulted in lower selection gain per year in relation to individual genomic selection using higher marker density. Initial accuracies were increased by a selection index method proposed as a procedure to improve long-term rates of gain for advanced generations using genomic selection. Application of genomic selection methods to forage breeding is expected to be of greatest value under the following circumstances: (i) when phenotypic evaluation of individual plants is incapable of predicting performance under sward conditions, (ii) when it is difficult or impossible to apply meaningful selection pressure within families, or (iii) when time-intensive phenotypic evaluations necessitate long cycle times, for example, 4 to 5 yr.
650 $aforage
650 $aplant breeding
653 $aForrageira
653 $aGenomic selection
653 $aMelhoramento genético
653 $aSeleção genômica
700 1 $aCASLER, M. D.
700 1 $aRESENDE, M. D. V. de
773 $tCrop Science$gv. 54, p. 143-156, Jan./Feb. 2014.
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