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1. | | CAMARA NETO, J. F.; CAMPELO, M. DA S.; CERQUEIRA, G. S.; MIRANDA. J. A. L. DE; GUEDES, J. A. C.; ALMEIDA, R. R. DE; SOARES, S. DE A.; GRAMOSA, N. V.; ZOCOLO, G. J.; VIEIRA, I. G. P.; RICARDO, N. M. P. S.; RIBEIRO, M. E. N. P. Gastroprotective effect of hydroalcoholic extract from Agaricus blazei Murill against ethanol-induced gastric ulcer in mice. Journal of Ethnopharmacology, v. 292, 115191, 2022. Biblioteca(s): Embrapa Agroindústria Tropical. |
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Registro Completo
Biblioteca(s): |
Embrapa Agroenergia; Embrapa Florestas. |
Data corrente: |
18/02/2019 |
Data da última atualização: |
18/11/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
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. |
Afiliação: |
Rodrigo Silva Alves; Paulo Eduardo Teodoro; Leonardo de Azevedo Peixoto; João Romero do Amaral Santos de Carvalho Rocha; Lidiane Aparecida Silva; BRUNO GALVEAS LAVIOLA, CNPAE; MARCOS DEON VILELA DE RESENDE, CNPF; Leonardo Lopes Bhering. |
Título: |
Multiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Industrial Crops & Products, v.130, p. 558-561, 2019. |
Idioma: |
Inglês |
Conteúdo: |
Despite being a species with great potential for biodiesel production, little research has been done on the breeding of Jatropha curcas, mainly with respect to its yield across harvests. Thus, the present study was carried out to analyze longitudinal data via multiple-trait Best Linear Unbiased Prediction (BLUP) for the genetic improvement of Jatropha curcas. The experiment was set up as a randomized block design with two blocks and five plants per plot. The seed yield of 730 individuals of 73 half-sib families was evaluated over six years. Variance components and genetic parameters were estimated via Restricted Maximum Likelihood (REML). The Additive Index was used for ranking and selection purposes. Genetic correlations of low to moderate magnitude were observed between pairs of harvests. The Multiple-trait BLUP / Additive Index procedure allowed for the selection of superior families based on the predicted genetic values, considering all the harvests. Therefore, it can be efficiently applied in the breeding of Jatropha curcas. |
Palavras-Chave: |
Bio-óleo; Biofuel; Genetic selection; Mixed model methodology; Repeated measures. |
Thesaurus NAL: |
Biofuels; Selection index. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01888naa a2200289 a 4500 001 2107152 005 2019-11-18 008 2019 bl uuuu u00u1 u #d 100 1 $aALVES, R. S. 245 $aMultiple-trait BLUP in longitudinal data analysis on Jatropha curcas breeding for bioenergy.$h[electronic resource] 260 $c2019 520 $aDespite being a species with great potential for biodiesel production, little research has been done on the breeding of Jatropha curcas, mainly with respect to its yield across harvests. Thus, the present study was carried out to analyze longitudinal data via multiple-trait Best Linear Unbiased Prediction (BLUP) for the genetic improvement of Jatropha curcas. The experiment was set up as a randomized block design with two blocks and five plants per plot. The seed yield of 730 individuals of 73 half-sib families was evaluated over six years. Variance components and genetic parameters were estimated via Restricted Maximum Likelihood (REML). The Additive Index was used for ranking and selection purposes. Genetic correlations of low to moderate magnitude were observed between pairs of harvests. The Multiple-trait BLUP / Additive Index procedure allowed for the selection of superior families based on the predicted genetic values, considering all the harvests. Therefore, it can be efficiently applied in the breeding of Jatropha curcas. 650 $aBiofuels 650 $aSelection index 653 $aBio-óleo 653 $aBiofuel 653 $aGenetic selection 653 $aMixed model methodology 653 $aRepeated measures 700 1 $aTEODORO, P. E. 700 1 $aPEIXOTO, L. de A. 700 1 $aROCHA, J. R. do A. S. de C. 700 1 $aSILVA, L. A. 700 1 $aLAVIOLA, B. G. 700 1 $aRESENDE, M. D. V. de 700 1 $aBHERING, L. L. 773 $tIndustrial Crops & Products$gv.130, p. 558-561, 2019.
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Embrapa Agroenergia (CNPAE) |
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