| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Agroenergia. |
|
Data corrente: |
18/11/2020 |
|
Data da última atualização: |
18/11/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
RODRIGUES, E. V.; ROCHA, J. R. do A. S. de C.; ALVES, R. S.; TEODORO, P. E.; LAVIOLA, B. G.; RESENDE, M. D. V. de; CARNEIRO, P. C. S.; BHERING, L. L. |
|
Afiliação: |
Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa. |
|
Título: |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. |
|
ISSN: |
1678-4499 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. MenosJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. cur... Mostrar Tudo |
|
Palavras-Chave: |
Genetic diversity; Mixed models. |
|
Thesagro: |
Genética Vegetal; Melhoramento Genético Vegetal. |
|
Thesaurus Nal: |
Jatropha; Plant breeding; Plant genetics. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217986/1/Selection-of-Jatropha-genotypes-2020.pdf
|
|
Marc: |
LEADER 02434naa a2200301 a 4500
001 2126809
005 2020-11-18
008 2020 bl uuuu u00u1 u #d
022 $a1678-4499
100 1 $aRODRIGUES, E. V.
245 $aSelection of Jatropha genotypes for bioenergy purpose$ban approach with multitrait, multiharvest and effective population size.$h[electronic resource]
260 $c2020
520 $aJatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding.
650 $aJatropha
650 $aPlant breeding
650 $aPlant genetics
650 $aGenética Vegetal
650 $aMelhoramento Genético Vegetal
653 $aGenetic diversity
653 $aMixed models
700 1 $aROCHA, J. R. do A. S. de C.
700 1 $aALVES, R. S.
700 1 $aTEODORO, P. E.
700 1 $aLAVIOLA, B. G.
700 1 $aRESENDE, M. D. V. de
700 1 $aCARNEIRO, P. C. S.
700 1 $aBHERING, L. L.
773 $tBragantia, Campinas$gv. 79, n.3, Jul./Sept. 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agroenergia (CNPAE) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Soja. |
|
Data corrente: |
02/12/2020 |
|
Data da última atualização: |
18/12/2020 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
GONÇALVES, A. B.; FONTES, P. F.; DADALTO, S. P.; SOUZA, G. B. de; MARCELINO-GUIMARÃES, F. C.; ALVES, M. S.; FIETTO, L. G. |
|
Afiliação: |
Amanda Bonoto Gonçalves, Universidade Federal de Viçosa, Viçosa, MG.; Patrícia Pereira Fontes, Universidade Federal de Viçosa, Viçosa, MG.; Silvana Pinheiro Dadalto, Universidade Federal de Viçosa, Viçosa, MG.; Gilza Barcelos de Souza, Universidade Federal de Viçosa, Viçosa, MG.; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO; Murilo Siqueira Alves, Universidade Federal do Ceará, Fortaleza, CE.; Luciano Gomes Fietto, Universidade Federal de Viçosa, Viçosa, MG. |
|
Título: |
GmbZIP45 binds to H-box cis-element in vitro and overexpression in soybean protoplasts induces the expression of CHS8 gene. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
Physiological and molecular plant pathology, v. 112, 101556, 2020. |
|
Idioma: |
Inglês |
|
Palavras-Chave: |
Biossíntese de fenilpropanóides; Fator de transcrição; GmbZIP45; Phenylpropanoid biosynthesis. |
|
Thesagro: |
Phakopsora Pachyrhizi; Soja. |
|
Thesaurus NAL: |
Phakopsora; Phenylpropanoids; Transcription factors. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 00935naa a2200289 a 4500
001 2127441
005 2020-12-18
008 2020 bl uuuu u00u1 u #d
100 1 $aGONÇALVES, A. B.
245 $aGmbZIP45 binds to H-box cis-element in vitro and overexpression in soybean protoplasts induces the expression of CHS8 gene.$h[electronic resource]
260 $c2020
650 $aPhakopsora
650 $aPhenylpropanoids
650 $aTranscription factors
650 $aPhakopsora Pachyrhizi
650 $aSoja
653 $aBiossíntese de fenilpropanóides
653 $aFator de transcrição
653 $aGmbZIP45
653 $aPhenylpropanoid biosynthesis
700 1 $aFONTES, P. F.
700 1 $aDADALTO, S. P.
700 1 $aSOUZA, G. B. de
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aALVES, M. S.
700 1 $aFIETTO, L. G.
773 $tPhysiological and molecular plant pathology$gv. 112, 101556, 2020.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Soja (CNPSO) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
