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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
10/12/2019 |
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Data da última atualização: |
07/04/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LEITE, P. S. da S.; BOTELHO, T. A.; RIBEIRO, P. C. de O.; SCHAFFERT, R. E.; PARRELLA, R. A. da C.; NUNES, J. A. R. |
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Afiliação: |
Pakizza Sherma da Silva Leite, Universidade Federal de Lavras; Thiago Tavares Botelho, Universidade Federal de Lavras; Pedro César de Oliveira Ribeiro, Universidade Federal de Viçosa; ROBERT EUGENE SCHAFFERT, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS; José Airton Rodrigues Nunes, Universidade Federal de Lavras. |
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Título: |
Intrapopulation recurrent selection in sweet sorghum for improving sugar yield. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Industrial Crops and Products, v. 143, article 111910, 2020. |
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DOI: |
10.1016/j.indcrop.2019.111910 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.65% for TBH, demonstrating the eficiency of the intrapopulation recurrent selection program used. MenosSweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.6... Mostrar Tudo |
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Palavras-Chave: |
Esterilidade genética masculina; Progresso genético; Prole de meio irmão. |
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Thesagro: |
Sorghum Bicolor; Sorgo. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02386naa a2200253 a 4500
001 2116511
005 2020-04-07
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1016/j.indcrop.2019.111910$2DOI
100 1 $aLEITE, P. S. da S.
245 $aIntrapopulation recurrent selection in sweet sorghum for improving sugar yield.$h[electronic resource]
260 $c2020
520 $aSweet sorghum [Sorghum bicolor (L.) Moench] accumulates fermentable sugars in the stalk making this crop an important bioenergy feedstock. The objectives of this study were to implement an intrapopulation recurrent selection program to increase the sugar yield in sweet sorghum [Sorghumbicolor(L.)Moench]andtoestimatethe genetic progress after a recurrent selection cycle for the main agro-industrial traits of interest. The base population for cycle 0 (C0) was developed from 15 fertility restorer lines using a genetic male-sterile source to promote recombination. A total of 196 half-sib progeny from C0 were evaluated in experiments with a 14×14 lattice design in the 2016?2017 season. The following traits were evaluated: days to flowering (DF), plant height (PH), fresh biomass yield (FBY), total soluble solids content (TSS) and tons of Brix per hectare (TBH). Data were analyzed using the mixed model approach. Genetic variation was observed among the C0 half-sib progeny for all of the agro-industrial traits studied. The 40 best progeny were selected based on the best linear unbiased predictions (BLUPs) for TBH, which were then recombined to form the base population for cycle 1 (C1). Subsequently, 40 half-sib progeny from each cycle (C0 and C1) were randomly selected and evaluated in experiments with a 9×9 lattice design to estimate the genetic progress for DF, PH, FBY, TSS and TBH traits. The genetic progress was significant, with increases of 3.73% for PH, 8.04% for FBY, and 8.65% for TBH, demonstrating the eficiency of the intrapopulation recurrent selection program used.
650 $aSorghum Bicolor
650 $aSorgo
653 $aEsterilidade genética masculina
653 $aProgresso genético
653 $aProle de meio irmão
700 1 $aBOTELHO, T. A.
700 1 $aRIBEIRO, P. C. de O.
700 1 $aSCHAFFERT, R. E.
700 1 $aPARRELLA, R. A. da C.
700 1 $aNUNES, J. A. R.
773 $tIndustrial Crops and Products$gv. 143, article 111910, 2020.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
19/01/2022 |
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Data da última atualização: |
19/01/2022 |
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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: |
MIRANDA, T. L. R.; RESENDE, M. D. V. de; AZEVEDO, C. F.; NUNES, A. C. P.; TAKAHASHI, E. K.; SIMIQUELI, G. F.; SILVA, F. F. e; ALVES, R. S. |
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Afiliação: |
TAIANA LOPES RANGEL MIRANDA, UFV; MARCOS DEON VILELA DE RESENDE, CNPCa; CAMILA FERREIRA AZEVEDO, UFV; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DO SUL DA BAHIA; ELIZABETE KEIKO TAKAHASHI, CELULOSE NIPO-BRASILEIRA S.A; GUILHERME FERREIRA SIMIQUELI, UFV; FABYANO FONSECA E SILVA, UFV; RODRIGO SILVA ALVES, UFLA. |
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Título: |
Evaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Scientia Agricola, v. 79, n. 6, p. 1-7, 2022. |
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DOI: |
https://doi.org/10.1590/1678-992X-2021-0074 |
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Idioma: |
Inglês |
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Conteúdo: |
The Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation. |
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Thesagro: |
Melhoramento Genético Vegetal; Seleção Genética. |
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Thesaurus NAL: |
Molecular models; Plant breeding; Plant selection guides. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230381/1/evaluation-of-a-new-additive.pdf
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Marc: |
LEADER 02131naa a2200277 a 4500
001 2139183
005 2022-01-19
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/1678-992X-2021-0074$2DOI
100 1 $aMIRANDA, T. L. R.
245 $aEvaluation of a new additive-dominance genomic model and implications for quantitative genetics and genomic selection.$h[electronic resource]
260 $c2022
520 $aThe Fisher?s infinitesimal model is traditionally used in quantitative genetics and genomic selection, and it attributes most genetic variance to additive variance. Recently, the dominance maximization model was proposed and it prioritizes the dominance variance based on alternative parameterizations. In this model, the additive effects at the locus level are introduced into the model after the dominance variance is maximized. In this study, the new parameterizations of additive and dominance effects on quantitative genetics and genomic selection were evaluated and compared with the parameterizations traditionally applied using the genomic best linear unbiased prediction method. As the parametric relative magnitude of the additive and dominance effects vary with allelic frequencies of populations, we considered different minor allele frequencies to compare the relative magnitudes. We also proposed and evaluated two indices that combine the additive and dominance variances estimated by both models. The dominance maximization model, along with the two indices, offers alternatives to improve the estimates of additive and dominance variances and their respective proportions and can be successfully used in genetic evaluation.
650 $aMolecular models
650 $aPlant breeding
650 $aPlant selection guides
650 $aMelhoramento Genético Vegetal
650 $aSeleção Genética
700 1 $aRESENDE, M. D. V. de
700 1 $aAZEVEDO, C. F.
700 1 $aNUNES, A. C. P.
700 1 $aTAKAHASHI, E. K.
700 1 $aSIMIQUELI, G. F.
700 1 $aSILVA, F. F. e
700 1 $aALVES, R. S.
773 $tScientia Agricola$gv. 79, n. 6, p. 1-7, 2022.
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Embrapa Café (CNPCa) |
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