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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
28/12/2018 |
Data da última atualização: |
24/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ROCHA, J. R. do A. S. de C.; MARÇAL, T. de S.; SALVADOR, F. V.; SILVA, A. C. da; MACHADO, J. C.; CARNEIRO, P. C. S. |
Afiliação: |
JUAREZ CAMPOLINA MACHADO, CNPGL. |
Título: |
Genetic insights into elephantgrass persistence for bioenergy purpose. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
PLoS ONE, v. 13, n. 19, e0203818, 2018. |
DOI: |
10.1371/journal.pone.0203818 |
Idioma: |
Inglês |
Conteúdo: |
Abstract Persistence may be defined as high sustained yield over multi-harvest. Genetic insights about persistence are essential to ensure the success of breeding programs and any biomass-based project. This paper focuses on assessing the biomass yield persistence for bioenergy purpose of 100 elephantgrass clones measured in six growth seasons in Brazil. To assess the clones' persistence, an index based on random regression models and genotype-ideotype distance was proposed. Results suggested the existence of wide genetic variability between elephantgrass clones, and that the yield trajectories along the harvests generate genetic insights into elephantgrass clones' persistence and G x E interaction. A gene pool that acts over the biomass yield (regardless of the harvest) was detected, as well as other gene pools, which show differences on genes expression (these genes are the major responsible for clones' persistence). The lower and higher clones' persistence was discussed based on genome dosage effect and natural biological nitrogen fixation ability applied to bioenergy industry. The huge potential of energy crops necessarily is associated with genetic insights into persistence, so just this way, breeding programs could breed a new cultivar that fulfills the bioenergy industries. |
Palavras-Chave: |
Elephantgrass clones; Persistence of clones. |
Thesaurus Nal: |
Bioenergy industry. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189455/1/Artigo-PlosOne-Juarez-Genetic.pdf
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Marc: |
LEADER 01995naa a2200229 a 4500 001 2102609 005 2023-01-24 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1371/journal.pone.0203818$2DOI 100 1 $aROCHA, J. R. do A. S. de C. 245 $aGenetic insights into elephantgrass persistence for bioenergy purpose.$h[electronic resource] 260 $c2018 520 $aAbstract Persistence may be defined as high sustained yield over multi-harvest. Genetic insights about persistence are essential to ensure the success of breeding programs and any biomass-based project. This paper focuses on assessing the biomass yield persistence for bioenergy purpose of 100 elephantgrass clones measured in six growth seasons in Brazil. To assess the clones' persistence, an index based on random regression models and genotype-ideotype distance was proposed. Results suggested the existence of wide genetic variability between elephantgrass clones, and that the yield trajectories along the harvests generate genetic insights into elephantgrass clones' persistence and G x E interaction. A gene pool that acts over the biomass yield (regardless of the harvest) was detected, as well as other gene pools, which show differences on genes expression (these genes are the major responsible for clones' persistence). The lower and higher clones' persistence was discussed based on genome dosage effect and natural biological nitrogen fixation ability applied to bioenergy industry. The huge potential of energy crops necessarily is associated with genetic insights into persistence, so just this way, breeding programs could breed a new cultivar that fulfills the bioenergy industries. 650 $aBioenergy industry 653 $aElephantgrass clones 653 $aPersistence of clones 700 1 $aMARÇAL, T. de S. 700 1 $aSALVADOR, F. V. 700 1 $aSILVA, A. C. da 700 1 $aMACHADO, J. C. 700 1 $aCARNEIRO, P. C. S. 773 $tPLoS ONE$gv. 13, n. 19, e0203818, 2018.
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Embrapa Gado de Leite (CNPGL) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
16/01/2019 |
Data da última atualização: |
16/01/2019 |
Tipo da produção científica: |
Nota Técnica/Nota Científica |
Autoria: |
PAIVA, J. T.; RESENDE, M. D. V. de; RESENDE, R. T.; OLIVEIRA, H. R.; SILVA, H. T.; CAETANO, G. C.; CALDERANO, A. A.; LOPES, P. S.; VIANA, J. M. S.; SILVA, F. F. |
Afiliação: |
J. T. Paiva, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; R. T. Resende, UFV; H. R. Oliveira, UFV; H. T. Silva, UFV; G. C. Caetano, UFV; A. A. Calderano, UFV; P. S. Lopes, UFV; J. M. S. Viana, UFV; F. F. Silva, UFV. |
Título: |
A note on transgenerational epigenetics affecting egg quality traits in meat-type quail. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
British Poultry Science, v. 59, n. 6, p. 624-628, 2018. |
DOI: |
10.1080/00071668.2018.1514582 |
Idioma: |
Inglês |
Notas: |
Short Communication. |
Conteúdo: |
1. The aim of the following experiment was to estimate transgenerational epigenetic variance for egg quality traits using genealogical and phenotypic information in meat-type quail. Measured traits included egg length (EL) and width (EWD), albumen weight (AW), shell weight (SW), yolk weight (YW) and egg weight (EW). 2. A total of 391 birds were evaluated for egg quality by collecting a sample of one egg per bird, during three consecutive days, starting on the 14th d of production. Analyses were performed using mixed models including the random epigenetic effect. Variance components were estimated by the restricted maximum likelihood method. A grid-search for values for the auto-recursive parameter (λ) was used in the variance components estimation. This parameter is directly related to the reset (v) and epigenetic transmissibility (1 − v) coefficients. 3. The epigenetic effect was not significant for any of the egg quality traits evaluated. Direct heritability estimates for egg quality traits ranged in magnitude from 0.06 to 0.33, whereby the higher estimates were found for AW and SW. Epigenetic heritability estimates were low and close to zero (ranging from 0.00 to 0.07) for all evaluated traits. 4. The current breeding strategies accounting for additive genetic effect seem to be suitable for egg quality traits in meat-type quail. |
Palavras-Chave: |
Epigenome; Non-Mendelian inheritance. |
Thesaurus NAL: |
Coturnix; Heritability. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02246naa a2200301 a 4500 001 2104301 005 2019-01-16 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1080/00071668.2018.1514582$2DOI 100 1 $aPAIVA, J. T. 245 $aA note on transgenerational epigenetics affecting egg quality traits in meat-type quail.$h[electronic resource] 260 $c2018 500 $aShort Communication. 520 $a1. The aim of the following experiment was to estimate transgenerational epigenetic variance for egg quality traits using genealogical and phenotypic information in meat-type quail. Measured traits included egg length (EL) and width (EWD), albumen weight (AW), shell weight (SW), yolk weight (YW) and egg weight (EW). 2. A total of 391 birds were evaluated for egg quality by collecting a sample of one egg per bird, during three consecutive days, starting on the 14th d of production. Analyses were performed using mixed models including the random epigenetic effect. Variance components were estimated by the restricted maximum likelihood method. A grid-search for values for the auto-recursive parameter (λ) was used in the variance components estimation. This parameter is directly related to the reset (v) and epigenetic transmissibility (1 − v) coefficients. 3. The epigenetic effect was not significant for any of the egg quality traits evaluated. Direct heritability estimates for egg quality traits ranged in magnitude from 0.06 to 0.33, whereby the higher estimates were found for AW and SW. Epigenetic heritability estimates were low and close to zero (ranging from 0.00 to 0.07) for all evaluated traits. 4. The current breeding strategies accounting for additive genetic effect seem to be suitable for egg quality traits in meat-type quail. 650 $aCoturnix 650 $aHeritability 653 $aEpigenome 653 $aNon-Mendelian inheritance 700 1 $aRESENDE, M. D. V. de 700 1 $aRESENDE, R. T. 700 1 $aOLIVEIRA, H. R. 700 1 $aSILVA, H. T. 700 1 $aCAETANO, G. C. 700 1 $aCALDERANO, A. A. 700 1 $aLOPES, P. S. 700 1 $aVIANA, J. M. S. 700 1 $aSILVA, F. F. 773 $tBritish Poultry Science$gv. 59, n. 6, p. 624-628, 2018.
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