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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
25/11/2019 |
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Data da última atualização: |
23/08/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DIAS, K. O. G.; PIEPHO, H. P.; GUIMARAES, L. J. M.; GUIMARAES, P. E. de O.; PARENTONI, S. N.; PINTO, M. de O.; NODA, R. W.; MAGALHAES, J. V. de; GUIMARÃES, C. T.; GARCIA, A. A. F.; PASTINA, M. M. |
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Afiliação: |
Escola Superior de Agricultura Luiz de Queiroz; University of Hohenheim; LAURO JOSE MOREIRA GUIMARAES, CNPMS; PAULO EVARISTO DE O GUIMARAES, CNPMS; SIDNEY NETTO PARENTONI, CNPMS; MARCOS DE OLIVEIRA PINTO, CNPMS; ROBERTO WILLIANS NODA, CNPMS; JURANDIR VIEIRA DE MAGALHAES, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS; Escola Superior de Agricultura Luiz de Queiroz; MARIA MARTA PASTINA, CNPMS. |
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Título: |
Novel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Theoretical and Applied Genetics, v. 133, p. 443-455, 2020. |
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DOI: |
10.1007/s00122-019-03475-1 |
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Idioma: |
Inglês |
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Notas: |
Publicado online em 22 nov. 2019. |
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Conteúdo: |
Predicting the performance of untested single-cross hybrids through genomic prediction (GP) is highly desirable to increase genetic gain. Here, we evaluate the predictive ability (PA) of novel genomic strategies to predict single-cross maize hybrids using an unbalanced historical dataset of a tropical breeding program. Field data comprised 949 single-cross hybrids evaluated from 2006 to 2013, representing eight breeding cycles. Hybrid genotypes were inferred based on their parents? genotypes (inbred lines) using single-nucleotide polymorphism markers obtained via genotyping-by-sequencing. GP analyses were fitted using genomic best linear unbiased prediction via a stage-wise approach, considering two distinct cross-validation schemes. Results highlight the importance of taking into account the uncertainty regarding the adjusted means at each step of a stage-wise analysis, due to the highly unbalanced data structure and the expected heterogeneity of variances across years and locations of a commercial breeding program. Further, an increase in the size of the training set was not always advantageous even in the same breeding program. The use of the two cycles preceding predictions achieved optimal PA of untested single-cross hybrids in a forward prediction scenario, which could be used to replace the first step of field screening. Finally, in addition to the practical and theoretical results applied to maize hybrid breeding programs, the stage-wise analysis performed in this study may be applied to any crop historical unbalanced data. MenosPredicting the performance of untested single-cross hybrids through genomic prediction (GP) is highly desirable to increase genetic gain. Here, we evaluate the predictive ability (PA) of novel genomic strategies to predict single-cross maize hybrids using an unbalanced historical dataset of a tropical breeding program. Field data comprised 949 single-cross hybrids evaluated from 2006 to 2013, representing eight breeding cycles. Hybrid genotypes were inferred based on their parents? genotypes (inbred lines) using single-nucleotide polymorphism markers obtained via genotyping-by-sequencing. GP analyses were fitted using genomic best linear unbiased prediction via a stage-wise approach, considering two distinct cross-validation schemes. Results highlight the importance of taking into account the uncertainty regarding the adjusted means at each step of a stage-wise analysis, due to the highly unbalanced data structure and the expected heterogeneity of variances across years and locations of a commercial breeding program. Further, an increase in the size of the training set was not always advantageous even in the same breeding program. The use of the two cycles preceding predictions achieved optimal PA of untested single-cross hybrids in a forward prediction scenario, which could be used to replace the first step of field screening. Finally, in addition to the practical and theoretical results applied to maize hybrid breeding programs, the stage-wise analysis performed in this st... Mostrar Tudo |
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Thesagro: |
Genoma; Hibrido; Melhoramento Vegetal; Milho. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215380/1/Novel-strategies.pdf
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Marc: |
LEADER 02512naa a2200313 a 4500
001 2115056
005 2020-08-23
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1007/s00122-019-03475-1$2DOI
100 1 $aDIAS, K. O. G.
245 $aNovel strategies for genomic prediction of untested single-cross maize hybrids using unbalanced historical data.$h[electronic resource]
260 $c2020
500 $aPublicado online em 22 nov. 2019.
520 $aPredicting the performance of untested single-cross hybrids through genomic prediction (GP) is highly desirable to increase genetic gain. Here, we evaluate the predictive ability (PA) of novel genomic strategies to predict single-cross maize hybrids using an unbalanced historical dataset of a tropical breeding program. Field data comprised 949 single-cross hybrids evaluated from 2006 to 2013, representing eight breeding cycles. Hybrid genotypes were inferred based on their parents? genotypes (inbred lines) using single-nucleotide polymorphism markers obtained via genotyping-by-sequencing. GP analyses were fitted using genomic best linear unbiased prediction via a stage-wise approach, considering two distinct cross-validation schemes. Results highlight the importance of taking into account the uncertainty regarding the adjusted means at each step of a stage-wise analysis, due to the highly unbalanced data structure and the expected heterogeneity of variances across years and locations of a commercial breeding program. Further, an increase in the size of the training set was not always advantageous even in the same breeding program. The use of the two cycles preceding predictions achieved optimal PA of untested single-cross hybrids in a forward prediction scenario, which could be used to replace the first step of field screening. Finally, in addition to the practical and theoretical results applied to maize hybrid breeding programs, the stage-wise analysis performed in this study may be applied to any crop historical unbalanced data.
650 $aGenoma
650 $aHibrido
650 $aMelhoramento Vegetal
650 $aMilho
700 1 $aPIEPHO, H. P.
700 1 $aGUIMARAES, L. J. M.
700 1 $aGUIMARAES, P. E. de O.
700 1 $aPARENTONI, S. N.
700 1 $aPINTO, M. de O.
700 1 $aNODA, R. W.
700 1 $aMAGALHAES, J. V. de
700 1 $aGUIMARÃES, C. T.
700 1 $aGARCIA, A. A. F.
700 1 $aPASTINA, M. M.
773 $tTheoretical and Applied Genetics$gv. 133, p. 443-455, 2020.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
05/07/2016 |
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Data da última atualização: |
07/02/2024 |
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Tipo da produção científica: |
Autoria/Organização/Edição de Livros |
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Autoria: |
PEREIRA, A. V.; PACIULLO, D. S. C.; GOMIDE, C. A. de M.; LEDO, F. J. da S. |
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Afiliação: |
ANTONIO VANDER PEREIRA, CNPGL; DOMINGOS SAVIO CAMPOS PACIULLO, CNPGL; CARLOS AUGUSTO DE MIRANDA GOMIDE, CNPGL; FRANCISCO JOSE DA SILVA LEDO, CNPGL. |
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Título: |
Catálogo de forrageiras recomendadas pela Embrapa. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Brasília, DF: Embrapa, 2016 |
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Descrição Física: |
Ebook : il. color. |
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ISBN: |
978-85-7035-628-4 |
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Idioma: |
Português |
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Notas: |
Ebook no formato epub, convertido do livro impresso. |
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Conteúdo: |
E-BOOK. Este catálogo apresenta informações básicas sobre as forrageiras que fazem parte da Unidade Demonstrativa - Vitrine de Forrageiras Recomendadas pela Embrapa. A Vitrine reúne as principais forrageiras tropicais indicadas para produção de leite e carne, considerando adaptação ambiental e formas de utilização. O catálogo não pretende esgotar as informações sobre cada cultivar, mas apenas servir de guia para demonstração das forrageiras aos produtores e técnicos em visita à Vitrine de Forrageiras. |
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Palavras-Chave: |
Carcterísticas forrageiras; Cultivares forrageiras tropicais; Manejo de forrageiras. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/149068/1/11-Catalogo-Forrageiras-final.epub
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156740/1/Catalogo-de-Forrageiras-Final.pdf
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Marc: |
LEADER 01182nam a2200217 a 4500
001 2055145
005 2024-02-07
008 2016 bl uuuu 00u1 u #d
020 $a978-85-7035-628-4
100 1 $aPEREIRA, A. V.
245 $aCatálogo de forrageiras recomendadas pela Embrapa.
260 $aBrasília, DF: Embrapa$c2016
300 $cEbook : il. color.
500 $aEbook no formato epub, convertido do livro impresso.
520 $aE-BOOK. Este catálogo apresenta informações básicas sobre as forrageiras que fazem parte da Unidade Demonstrativa - Vitrine de Forrageiras Recomendadas pela Embrapa. A Vitrine reúne as principais forrageiras tropicais indicadas para produção de leite e carne, considerando adaptação ambiental e formas de utilização. O catálogo não pretende esgotar as informações sobre cada cultivar, mas apenas servir de guia para demonstração das forrageiras aos produtores e técnicos em visita à Vitrine de Forrageiras.
653 $aCarcterísticas forrageiras
653 $aCultivares forrageiras tropicais
653 $aManejo de forrageiras
700 1 $aPACIULLO, D. S. C.
700 1 $aGOMIDE, C. A. de M.
700 1 $aLEDO, F. J. da S.
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Embrapa Gado de Leite (CNPGL) |
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