| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agrobiologia. |
|
Data corrente: |
25/10/2012 |
|
Data da última atualização: |
02/05/2016 |
|
Tipo da produção científica: |
Resumo em Anais de Congresso |
|
Autoria: |
ATAÍDE, D. H. dos S.; FREIRE, J. M. |
|
Afiliação: |
BOLSISTA DA EMBRAPA AGROBIOLOGIA; JULIANA MULLER FREIRE, CNPAB. |
|
Título: |
Superação de dormência em sementes de Albizia pedicellaris (DC.) L. Rico |
|
Ano de publicação: |
2012 |
|
Fonte/Imprenta: |
In: SEMANA CIENTÍFICA JOHANNA DÖBEREINER, 12., 2012. Economia verde, sustentabilidade e erradicação da pobreza: caderno de resumos. Seropédica: Embrapa Agrobiologia, 2012. |
|
Idioma: |
Português |
|
Palavras-Chave: |
Tecnologia de semente. |
|
Thesagro: |
Dormência; Semente. |
|
Categoria do assunto: |
-- |
|
URL: |
https://www.ojs.cnpab.embrapa.br/index.php/scjd/article/view/1412/329
|
|
Marc: |
LEADER 00586nam a2200145 a 4500
001 1937967
005 2016-05-02
008 2012 bl uuuu u01u1 u #d
100 1 $aATAÍDE, D. H. dos S.
245 $aSuperação de dormência em sementes de Albizia pedicellaris (DC.) L. Rico$h[electronic resource]
260 $aIn: SEMANA CIENTÍFICA JOHANNA DÖBEREINER, 12., 2012. Economia verde, sustentabilidade e erradicação da pobreza: caderno de resumos. Seropédica: Embrapa Agrobiologia$c2012
650 $aDormência
650 $aSemente
653 $aTecnologia de semente
700 1 $aFREIRE, J. M.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agrobiologia (CNPAB) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
14/07/2017 |
|
Data da última atualização: |
03/01/2018 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
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. |
|
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. |
|
Título: |
Genome wide selection in citrus breeding. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. |
|
DOI: |
http://dx.doi.org/10.4238/gmr15048863 |
|
Idioma: |
Inglês |
|
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 |
|
Palavras-Chave: |
DarT_seq; Molecular markers; Seleção precoce; Selective accuracy. |
|
Thesagro: |
Fruta cítrica; Marcador Molecular; Melhoramento vegetal. |
|
Thesaurus NAL: |
Citrus; early selection; linkage disequilibrium; Plant breeding. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161818/1/2016-M.Deon-GMR-Genome.pdf
|
|
Marc: |
LEADER 02672naa a2200349 a 4500
001 2072713
005 2018-01-03
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.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
|
|
