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| Registros recuperados : 189 | |
| 61. |  | CIA, P.; SANCHES, J.; ANTONIALI, S.; BETTIOL NETO, J. E.; PIO, R.; CHAGAS, E. A. Caracterização físico-química de cultivares de pereira Produzidas na região leste paulista In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: SBF, 2010.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 62. | | CIA, P.; SANCHES, J.; ANTONIALI, S.; BETTIOL NETO, J. E.; PIO, R.; CHAGAS, E. A. Caracterização físico-química de cultivares de pereira Produzidas na região leste paulista In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: SBF, 2010.| Biblioteca(s): Embrapa Roraima. |
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| 66. | | CELANT, V. M.; PIO, R.; CAMPAGNOLO, M. A.; CHAGAS, E. A.; BETTIOL NETO, J. E. Crescimento de cultivares de marmeleiro enxertados sobre o porta-enxerto japonês em condições de campo. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: SBF, 2010.| Biblioteca(s): Embrapa Roraima. |
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| 68. | | PIO, R.; DALL'ORTO, F. A. C.; BARBOSA, W.; CHAGAS, E. A.; OJIMA, M.; FELDBERG, N. P. Desempenho produtivo de nespereiras enxertadas em mameleiro 'Portugal'. Pesquisa Agropecuária Brasileira, v.42, n.12, p.1715-1719, 2007.| Biblioteca(s): Embrapa Algodão. |
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| 70. | | PIO, R.; DALL'ORTO, F. A. C.; BARBOSA, W.; CHAGAS, E. A.; OJIMA, M.; FELDBERG, N. P. Nespereiras enxertadas em marmeleiro 'Portugal'. Jornal da Fruta, Lages, v. 16, n. 198, p. 18, 2008.| Biblioteca(s): Embrapa Uva e Vinho. |
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| 71. | | SEIFERT, K. E.; PIO, R.; CELANT, V. M.; CHAGAS, E. A. Mudas de pera produzidas por dupla enxertia em marmeleiro utilizando o porta-enxerto 'Japonês'. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 12, p. 1631-1635, dez. 2009 Título em inglês: Pear seedling production by double grafting in quince using 'Japonês' as rootstock.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 72. | | BETTIOL NETO, J. E.; CIA, P.; CHAGAS, E. A.; SANCHES, J.; PIO, R.; ANTONIALI, S. Produção e atributos de qualidade de cultivares de marmeleiro na região Leste Paulista. Revista Brasileira de Fruticultura, Jaboticabal ,SP, v. 33, n. 3, p. 1035-1042, Set., 2011.| Biblioteca(s): Embrapa Roraima. |
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| 73. | | BETTIOL NETO, J. E.; CHAGAS, E. A.; SANCHES, J.; PIO, R.; ANTONIALI, S.; CIA, P. Produção e qualidade pós-colheita de cultivares de pereira nas condições subtropicais da região leste paulista. Ciência Rural, Santa Maria, v.44, n.10, p.1740-1746, out, 2014.| Biblioteca(s): Embrapa Roraima. |
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Título em inglês: Production of loquat tree cultivars in Eastern São Paulo State.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 80. | | DALASTRA, I. M.; PIO, R.; ENTELMANN, F. A.; WERLE, T.; ULIANA, M. B.; SCARPARE FILHO, J. A. Germinação de sementes de Nogueira-Macadâmia submetidas á incisão e imersão em ácido giberélico. Ciência e Agrotecnologia, Lavras, v. 34, n. 3, p. 641-645, mai./jun., 2010.| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 189 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
14/07/2017 |
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Data da última atualização: |
03/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
GOIS, I. B.; BORÉM, A.; CRISTOFANI-YALY, M.; RESENDE, M. D. V. de; AZEVEDO, C. F.; BASTIANEL, M.; NOVELLI, V. M.; MACHADO, M. A. |
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Afiliação: |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. |
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Título: |
Genome wide selection in citrus breeding. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. |
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DOI: |
http://dx.doi.org/10.4238/gmr15048863 |
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Idioma: |
Inglês |
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Conteúdo: |
Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. MenosGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citr... Mostrar Tudo |
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Palavras-Chave: |
DarT_seq; Molecular markers; Seleção precoce; Selective accuracy. |
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Thesagro: |
Fruta cítrica; Marcador Molecular; Melhoramento vegetal. |
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Thesaurus NAL: |
Citrus; early selection; linkage disequilibrium; Plant breeding. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161818/1/2016-M.Deon-GMR-Genome.pdf
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|
Marc: |
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008 2016 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr15048863$2DOI
100 1 $aGOIS, I. B.
245 $aGenome wide selection in citrus breeding.$h[electronic resource]
260 $c2016
520 $aGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus.
650 $aCitrus
650 $aearly selection
650 $alinkage disequilibrium
650 $aPlant breeding
650 $aFruta cítrica
650 $aMarcador Molecular
650 $aMelhoramento vegetal
653 $aDarT_seq
653 $aMolecular markers
653 $aSeleção precoce
653 $aSelective accuracy
700 1 $aBORÉM, A.
700 1 $aCRISTOFANI-YALY, M.
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aBASTIANEL, M.
700 1 $aNOVELLI, V. M.
700 1 $aMACHADO, M. A.
773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr15048863, Oct. 2016.
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