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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
18/11/2020 |
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Data da última atualização: |
18/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. |
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ISSN: |
1678-4499 |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Genetic diversity; Mixed models. |
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Thesagro: |
Genética Vegetal; Melhoramento Genético Vegetal. |
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Thesaurus Nal: |
Jatropha; Plant breeding; Plant genetics. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/217986/1/Selection-of-Jatropha-genotypes-2020.pdf
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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.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
09/07/2015 |
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Data da última atualização: |
24/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
OLIVEIRA, M. N. de; TRIOMPHE, B.; RIGOLOT, C.; CIADELLA, N.; INGRAND, S. |
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Afiliação: |
MARCELO NASCIMENTO DE OLIVEIRA, CPAC; CIRAD; INRA SAD, AGROPARIS, CLEMONT UNIVERSITÉ, IRSTEA; CIRAD; INRA PHASE, AGROPARIS, CLEMONT UNIVERSITÉ, IRSTEA. |
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Título: |
Evaluation de la vulnérabilité des systèmes bovins lait familiaux au Brésil: proposition d?une méthode quantitative. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Fourrages, v. 222, p. 135-142, 2015. |
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Idioma: |
Francês |
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Palavras-Chave: |
América do Sul; Aspecto econômico; Evolução trajetória; Intensificação; Método de estimativa. |
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Thesagro: |
Exploração Agrícola; Pastagem; Produção Leiteira; Seca; Segurança Alimentar; Sistema de Produção. |
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Thesaurus NAL: |
Brazil. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/126416/1/Marcelo-Oliveira.pdf
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Marc: |
LEADER 00879naa a2200301 a 4500
001 2019621
005 2016-02-24
008 2015 bl uuuu u00u1 u #d
100 1 $aOLIVEIRA, M. N. de
245 $aEvaluation de la vulnérabilité des systèmes bovins lait familiaux au Brésil$bproposition d?une méthode quantitative.
260 $c2015
650 $aBrazil
650 $aExploração Agrícola
650 $aPastagem
650 $aProdução Leiteira
650 $aSeca
650 $aSegurança Alimentar
650 $aSistema de Produção
653 $aAmérica do Sul
653 $aAspecto econômico
653 $aEvolução trajetória
653 $aIntensificação
653 $aMétodo de estimativa
700 1 $aTRIOMPHE, B.
700 1 $aRIGOLOT, C.
700 1 $aCIADELLA, N.
700 1 $aINGRAND, S.
773 $tFourrages$gv. 222, p. 135-142, 2015.
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