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| Registros recuperados : 17 | |
| 3. |  | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; ALVES, R. S.; FARIAS, F. J. C.; CARVALHO, L. P.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. Models for optimizing selection based on adaptability and stability of cotton genotypes. Ciência Rural, v. 51, n. 5, e20200530, p. 1-8, 2021. 8 p.| Biblioteca(s): Embrapa Algodão. |
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| 4. | | COTRIM, M. F.; FARIAS, F. J. C.; CARVALHO, L. P. de; TEODORO, L. P. R.; BHERING, L. L.; TEODORO, P. E. Environmental stratification in the brazilian Cerrado on the yield and fiber quality of cotton genotypes. Bioscience Journal, v. 35, n. 5, p. 1349-1355, Sep./Oct. 2019. Título em português: Estratificação ambiental no Cerrado brasileiro sobre o rendimento e a qualidade da fibra dos genótipos de algodão.| Biblioteca(s): Embrapa Algodão. |
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| 5. | | SIMOES, W. L.; OLIVEIRA, A. R. de; TARDIN, F. D.; OLIVEIRA, C. P. M. de; MORAIS, L. K. de; TEODORO, L. P. R.; TEODORO, P. E. Impacts of saline stress on the physiology of Saccharum complex genotypes. Journal of Agronomy and Crop Science, v. 208, p. 120-126, 2022.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Semiárido; Embrapa Tabuleiros Costeiros. |
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| 6. | | SIMOES, W. L.; OLIVEIRA, A. R. de; TARDIN, F. D.; OLIVEIRA, C. P. M. de; MORAIS, L. K. de; TEODORO, L. P. R.; TEODORO, P. E. Saline stress affects the growth of Saccharum complex genotypes. Journal of Agronomy and Crop Science, v. 209, n. 5, p. 613-618, 2023.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Semiárido; Embrapa Tabuleiros Costeiros. |
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| 8. | | QUEIROZ, D. R.; FARIAS, F. J. C.; SILVA, E. F. da; ELIAS, J. J.; TEODORO, L. P. R.; TEODORO, P. E. Using combining ability as a strategy of upland cotton selection for high fiber quality. Euphytica, v. 217, n. 9, article number 184, 2021. 16 p.| Biblioteca(s): Embrapa Algodão. |
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| 9. | | SILVA, K. K. da; MENEZES, C. B. de; TEODORO, P. E.; TEODORO, L. P. R.; SANTOS, C. V. dos; CAMPOS, A. F.; CARVALHO, A. J. de; BARBOSA, E. da S. Multi-environmental evaluation of sorghum hybrids during off-season in Brazil. Pesquisa Agropecuária Brasileira, v. 57, e02628, 2022. Título em português: Avaliação multiambiental de híbridos de sorgo durante a entressafra no Brasil.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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| 10. | | MENEZES, C. B. de; SILVA, K. J. da; TEODORO, L. P. R.; SANTOS, C. V. dis; JULIO, B. H. M.; PORTUGAL, A. F.; BATISTA, P. S. C.; CARVALHO, A. J.; TEODORO, P. E. Grain sorghum hybrids under drought stress and full-irrigation conditions in the Brazilian Semiarid. Journal of Agronomy and Crop Science, p. 1-8, 2021.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 11. | | BALDONI, A. B.; TEODORO, L. P. R.; TEODORO, P. E.; TONINI, H.; TARDIN, F. D.; BOTIN, A. A.; HOOGERHEIDE, E. S. S.; BOTELHO, S. de C. C.; LULU, J.; FARIAS NETO, A. L. de; AZEVEDO, V. C. R. Genetic diversity of Brazil nut tree (Bertholletia excelsa Bonpl.) in southern Brazilian Amazon. Forest ecology and management, v. 458, 117795, 2020.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Milho e Sorgo; Embrapa Pecuária Sul; Embrapa Recursos Genéticos e Biotecnologia. |
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| 12. | | ALVAREZ, R. de C. F.; TAVEIRA, A. C.; LIMA, S. F. de; TEODORO, L. P. R.; OLIVEIRA, J. T. de; SANTOS, A.; RODRIGUES, E, V.; CECCON, G.; TEODORO, P. E. Genetic diversity of cowpea genotypes grown in the Brazilian Cerrado. HORTSCIENCE, v. 56, n. 1, p. 28?29, jan. 2021.| Biblioteca(s): Embrapa Agropecuária Oeste. |
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| 13. | | LAVIOLA, B. G.; SANTOS, A. dos; RODRIGUES, E. V.; TEODORO, L. P. R.; TEODORO, P. E.; ROSADO, T. B.; GUIMARÃES, C. G.; CONCEIÇÃO, L. D. H. C. S. DA. Structure and genetic diversity of macauba [Acrocomia aculeata (Jacq.) Lodd. ex Mart.] approached by SNP markers to assist breeding strategies. Genetic Resources and Crop Evolution, v. 69, p. 1179-1191, Nov. 2021. 13 p. PDF: il. color.| Biblioteca(s): Embrapa Agroenergia; Embrapa Uva e Vinho. |
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| 14. | | OLIVEIRA, C. P. M. de; SIMOES, W. L.; CHAVES, A. R. de M.; SILVA, J. S. da; TEODORO, L. P. R.; CAMARGOS, L. S. de; GAVA, R.; SOBRAL, Y. R. A.; TEODORO, P. E. Water strategy improves the inflorescence primordia formation of ’Arra 15’ grapevine in the Brazilian semiarid region. Scientific Reports, v. 14, 6678, 2024.| Biblioteca(s): Embrapa Semiárido. |
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| 15. | | SILVA, K. J. da; TEODORO, P. E.; SILVA, M. J. da; TEODORO, L. P. R.; CARDOSO, M. J.; GODINHO, V. de P. C.; MOTA, J. H.; SIMON, G. A.; TARDIN, F. D.; SILVA, A. R. da; GUEDES, F. L.; MENEZES, C. B. de. Identification of mega-environments for grain sorghum in Brazil using GGE biplot methodology. Agronomy Journal, v. 113, n. 4, p. 3019-3030, Jul./Aug. 2021.| Biblioteca(s): Embrapa Caprinos e Ovinos; Embrapa Meio-Norte; Embrapa Milho e Sorgo; Embrapa Rondônia. |
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| 16. | | BALDONI, A. B.; BOTIN, A. A.; TARDIN, F. D.; MARQUES, J. A. de B.; OLIVEIRA, F. L. de; SILVA, A. J. R.; SILVA, E. S. da; AWABDI, C. P.; PALUDZYSZYN FILHO, E.; NEVESE, L. G.; PANTALEÃO, A. de A.; TEODORO, L. P. R.; TEODORO, P. E. Early selection strategies in Schizolobium parahyba var. amazonicum (huber ex ducke) barneby. Industrial Crops and Products, v. 152, article 112538, 2020.| Biblioteca(s): Embrapa Agrossilvipastoril; Embrapa Florestas; Embrapa Milho e Sorgo. |
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| 17. | | VOLPATO, L.; CHAVES, S. F. da S.; ALVES, R. da S.; ROCHA, J. R. do A. S. de C.; SANTOS, R. G. dos; TEODORO, L. P. R.; TARDIN, F. D.; BALDONI, A. B.; MENEZES, C. B. de; RESENDE, M. D. V. de; TEODORO, P. E. Statistical methods for genetic evaluation and selection of parents and hybrids of grain sorghum. South African Journal of Botany, v. 167, p. 535-541, 2024.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| Registros recuperados : 17 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
10/12/2021 |
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Data da última atualização: |
10/12/2021 |
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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: |
SANTOS, A. dos; RODRIGUES, E. V.; LAVIOLA, B. G.; TEODORO, L. P. R.; TEODORO, P. E.; BHERING, L. L. |
|
Afiliação: |
ADRIANO DOS SANTOS, A&E Statistical Analysis and Consulting; ERINA VITÓRIO RODRIGUES, Universidade de Brasília; BRUNO GALVEAS LAVIOLA, CNPAE; LARISSA PEREIRA RIBEIRO TEODORO, Universidade Federal do Mato Grosso do Sul; PAULO EDUARDO TEODORO, Universidade Federal do Mato Grosso do Sul; LEONARDO LOPES BHERING, Universidade Federal de Viçosa. |
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Título: |
Increasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Scientific Reports, v. 11, 13583, 2021. |
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Páginas: |
9 p. |
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DOI: |
https://doi.org/10.1038/s41598-021-93022-0 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Genome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is a tool that can decrease the breeding cycle in Jatropha. Our objective was to compare GWS with phenotypic selection in terms of accuracy and efficiency over three harvests. Models were developed throughout the harvests to evaluate their applicability in predicting genetic values in later harvests. For this purpose, 386 individuals of the breeding population obtained from crossings between 42 parents were evaluated. The population was evaluated in random block design, with six replicates over three harvests. The genetic effects of markers were predicted in the population using 811 SNP's markers with call rate = 95% and minor allele frequency (MAF) > 4%. GWS enables gains of 108 to 346% over the phenotypic selection, with a 50% reduction in the selection cycle. This technique has potential for the Jatropha breeding since it allows the accurate obtaining of GEBV and higher efficiency compared to the phenotypic selection by reducing the time necessary to complete the selection cycle. In order to apply GWS in the first harvests, a large number of individuals in the breeding population are needed. In the case of few individuals in the population, it is recommended to perform a larger number of harvests. |
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Palavras-Chave: |
Genome-wide selection. |
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Thesaurus NAL: |
Accuracy; Breeding and Genetic Improvement; Genome; Jatropha. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/228886/1/Increasing-selection-gain-and-accuracy-2021.pdf
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|
Marc: |
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024 7 $ahttps://doi.org/10.1038/s41598-021-93022-0$2DOI
100 1 $aSANTOS, A. dos
245 $aIncreasing selection gain and accuracy of harvest prediction models in Jatropha through genome-wide selection.$h[electronic resource]
260 $c2021
300 $a9 p.
520 $aAbstract: Genome-wide selection (GWS) has been becoming an essential tool in the genetic breeding of long-life species, as it increases the gain per time unit. This study had a hypothesis that GWS is a tool that can decrease the breeding cycle in Jatropha. Our objective was to compare GWS with phenotypic selection in terms of accuracy and efficiency over three harvests. Models were developed throughout the harvests to evaluate their applicability in predicting genetic values in later harvests. For this purpose, 386 individuals of the breeding population obtained from crossings between 42 parents were evaluated. The population was evaluated in random block design, with six replicates over three harvests. The genetic effects of markers were predicted in the population using 811 SNP's markers with call rate = 95% and minor allele frequency (MAF) > 4%. GWS enables gains of 108 to 346% over the phenotypic selection, with a 50% reduction in the selection cycle. This technique has potential for the Jatropha breeding since it allows the accurate obtaining of GEBV and higher efficiency compared to the phenotypic selection by reducing the time necessary to complete the selection cycle. In order to apply GWS in the first harvests, a large number of individuals in the breeding population are needed. In the case of few individuals in the population, it is recommended to perform a larger number of harvests.
650 $aAccuracy
650 $aBreeding and Genetic Improvement
650 $aGenome
650 $aJatropha
653 $aGenome-wide selection
700 1 $aRODRIGUES, E. V.
700 1 $aLAVIOLA, B. G.
700 1 $aTEODORO, L. P. R.
700 1 $aTEODORO, P. E.
700 1 $aBHERING, L. L.
773 $tScientific Reports$gv. 11, 13583, 2021.
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Embrapa Agroenergia (CNPAE) |
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