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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
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Biblioteca(s): |
Embrapa Agroenergia; Embrapa Florestas. |
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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. |
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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. |
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Título: |
Selection of Jatropha curcas families based on temporal stability and adaptability of genetic values. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Industrial Crops and Products, v. 119, p. 290-293, Sept. 2018. |
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DOI: |
10.1016/j.indcrop.2018.04.029 |
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Idioma: |
Inglês |
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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. |
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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 |
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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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