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| Registros recuperados : 13 | |
| 4. |  | SANCHÉZ, C. F. B.; ALVES, R. S.; GARCIA, A. d. P.; TEODORO, P. E.; PEIXOTO, L. A.; SILVA, L. A.; BHERING, L. L.; RESENDE, M. D. V. de. Estimates of repeatability coefficients and the number of the optimum measure to select superior genotypes in Annona muricata L. Genetics and Molecular Research, v. 16, n. 3, gmr16039753, 2017. 8 p.| Biblioteca(s): Embrapa Florestas. |
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| 5. | | ESCOBAR, J. A. D.; RESENDE, M. D. V. de; AZEVEDO, C. F.; SILVA, F. F.; BARBOSA, M. H. P.; NUNES, A. C. P.; ALVES, R. S.; NASCIMENTO, M. Teoria de valores extremos e tamanho amostral para o melhoramento genético do quantil máximo em plantas. Revista Brasileira de Biometria, Lavras, v. 36, n. 1, p. 108-127, 2018.| Biblioteca(s): Embrapa Florestas. |
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| 6. | | VOLPATO, L.; ALVES, R. S.; TEODORO, P. E.; RESENDE, M. D. V. de; NASCIMENTO, M.; NASCIMENTO, A. C. C.; LUDKE, W. H.; SILVA, F. L. da; BORÉM, A. Multi-trait multi-environment models in the genetic selection of segregating soybean progeny. PLoS ONE, v. 14, n. 4, e0215315, Apr. 2019. 22 p.| Biblioteca(s): Embrapa Florestas. |
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| 7. | | ALVES, R. S.; PEIXOTO, L. de A.; TEODORO, P. E.; SILVA, L. A.; RODRIGUES, E. V.; RESENDE, M. D. V. de; LAVIOLA, B. G.; BHERING, L. L. Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values. Industrial Crops and Products, v. 119, p. 290-293, Sept. 2018.| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
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| 8. | | SOUZA, N. O. de; ALVES, R. S.; TEODORO, P. E.; SILVA, L. A. da; TARDIN, F. D.; BALDONI, A. B.; RESENDE, M. D. V. de; BHERING, L. L. Single- and multiple-trait BLUP in genetic selection of parents and hybrids of grain sorghum. Revista de la Facultad de Ciencias Agrarias Uncuyo, v. 51, n. 2, Jul./Dic. 2019.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Florestas; Embrapa Milho e Sorgo. |
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| 9. | | ALVES, R. S.; TEODORO, P. E.; FARIAS, F. C.; FARIAS, F. J. C.; CARVALHO, L. P. de; RODRIGUES, J. I. S.; BHERING, L. L.; RESENDE, M. D. V. de. Evaluation of genotype x environment interactions in cotton using the method proposed by Eberhart and Russell and reaction norm models. Genetics and Molecular Research, v. 16, n. 3, gmr16039726, 2017.| Biblioteca(s): Embrapa Algodão; Embrapa Florestas. |
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| 10. | | FERREIRA, F. M.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; ELIZEU, A. M.; BENITES, F. R. G.; RESENDE, M. D. V. de; SOUZA SOBRINHO, F. de; BHERING, L. L. Estimates of repeatability coefficients and optimum number of measures for genetic selection of Cynodon spp. Euphytica, v. 216, article 70, 2020.| Biblioteca(s): Embrapa Florestas; Embrapa Gado de Leite. |
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| 11. | | VOLPATO, L.; SIMOQUELI, G. F.; ALVES, R. S.; ROCHA, J. R. do A. S. de C.; DEL CONTE, M. V.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; SILVA, F. L. da. Selection of inbred soybean progeny (Glycine max): an approach with population effect. Plant Breeding, v. 137, n. 6, p. 865-872, Dec. 2018.| Biblioteca(s): Embrapa Florestas. |
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| 12. | | ALVES, R. S.; TEODORO, P. E.; PEIXOTO, L. de A.; ROCHA, J. R. do A. S. de C.; SILVA, L. A.; LAVIOLA, B. G.; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. Industrial Crops & Products, v.130, p. 558-561, 2019.| Biblioteca(s): Embrapa Agroenergia; Embrapa Florestas. |
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| 13. | | ALVES, R. S.; ROCHA, J. R. do A. de C.; TEODORO, P. E.; RESENDE, M. D. V. de; HENRIQUES, E. P.; SILVA, L. A.; CARNEIRO, P. C. S.; BHERING, L. L. Multiple-trait BLUP: a suitable strategy for genetic selection of Eucalyptus. Tree Genetics & Genomes, v. 14, n. 5, article 77, Oct. 2018. 8 p.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 13 | |
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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. |
Registro Completo
|
Biblioteca(s): |
Embrapa Agroenergia; Embrapa Florestas. |
|
Data corrente: |
18/06/2018 |
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Data da última atualização: |
21/11/2018 |
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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: |
ALVES, R. S.; PEIXOTO, L. de A.; TEODORO, P. E.; SILVA, L. A.; RODRIGUES, E. V.; RESENDE, M. D. V. de; LAVIOLA, B. G.; BHERING, L. L. |
|
Afiliação: |
RODRIGO SILVA ALVES; LEONARDO DE AZEVEDO PEIXOTO; PAULO EDUARDO TEODORO; LIDIANE APARECIDA SILVA; ERINA VITÓRIO RODRIGUES; MARCOS DEON VILELA DE RESENDE, CNPF; BRUNO GALVEAS LAVIOLA, CNPAE; LEONARDO LOPES BHERING. |
|
Título: |
Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values. |
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Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Industrial Crops and Products, v. 119, p. 290-293, Sept. 2018. |
|
DOI: |
10.1016/j.indcrop.2018.04.029 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Despite its numerous important traits for biodiesel production, little research exists on the Jatropha curcas crop,mainly with respect to repeated measures over time (crop years). The present study was thus developed toevaluate repeated measures over time in Jatropha curcas and examine the applicability and e?ciency of theharmonic mean of the relative performance of genetic values (HMRPGV) method in the selection of families foryield, stability, and adaptability, simultaneously. The work involved data from the evaluation of 730 individualsof 73 half-sib families, in a complete randomized block design, during six crop years, for the trait grain yield.Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) procedure was performed toestimate the variance components and predict the genetic values. Ten crop years must be evaluated to obtain80% of the maximum coe?cient of determination and 90% accuracy in terms of genetic gain from selection. Thee?ciency of performing 10 measurements compared with the situation in which only one measurement is usedwas 67%. The HMRPGV method has great potential in the selection of Jatropha curcas families for yield, stability,and adaptability, simultaneously. |
|
Palavras-Chave: |
Genetic selection; HMRPGV method; Jatropha curcas L; Mixed model methodology; Pinhão manso; Repeated measure. |
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Thesagro: |
Espécie Nativa; Jatropha Curcas; Seleção Genética. |
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Categoria do assunto: |
--
G Melhoramento Genético |
|
Marc: |
LEADER 02209naa a2200325 a 4500
001 2099396
005 2018-11-21
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1016/j.indcrop.2018.04.029$2DOI
100 1 $aALVES, R. S.
245 $aSelection of Jatropha curcas families based on temporal stability and adaptability of genetic values.$h[electronic resource]
260 $c2018
520 $aDespite its numerous important traits for biodiesel production, little research exists on the Jatropha curcas crop,mainly with respect to repeated measures over time (crop years). The present study was thus developed toevaluate repeated measures over time in Jatropha curcas and examine the applicability and e?ciency of theharmonic mean of the relative performance of genetic values (HMRPGV) method in the selection of families foryield, stability, and adaptability, simultaneously. The work involved data from the evaluation of 730 individualsof 73 half-sib families, in a complete randomized block design, during six crop years, for the trait grain yield.Restricted maximum likelihood/best linear unbiased prediction (REML/BLUP) procedure was performed toestimate the variance components and predict the genetic values. Ten crop years must be evaluated to obtain80% of the maximum coe?cient of determination and 90% accuracy in terms of genetic gain from selection. Thee?ciency of performing 10 measurements compared with the situation in which only one measurement is usedwas 67%. The HMRPGV method has great potential in the selection of Jatropha curcas families for yield, stability,and adaptability, simultaneously.
650 $aEspécie Nativa
650 $aJatropha Curcas
650 $aSeleção Genética
653 $aGenetic selection
653 $aHMRPGV method
653 $aJatropha curcas L
653 $aMixed model methodology
653 $aPinhão manso
653 $aRepeated measure
700 1 $aPEIXOTO, L. de A.
700 1 $aTEODORO, P. E.
700 1 $aSILVA, L. A.
700 1 $aRODRIGUES, E. V.
700 1 $aRESENDE, M. D. V. de
700 1 $aLAVIOLA, B. G.
700 1 $aBHERING, L. L.
773 $tIndustrial Crops and Products$gv. 119, p. 290-293, Sept. 2018.
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