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Registros recuperados : 24 | |
3. | | EVANGELISTA, J. S.; NEVES, E. de S.; AZEVEDO, V. R.; WADT, L. H. de O. Germinação de sementes de castanheira para produção de mudas. In: SEMINÁRIO DE INICIAÇÃO CIENTÍFICA PIBIC/PIBITI EMBRAPA ACRE, 1., 2013, Rio Branco, AC. Anais... Rio Branco, AC: Embrapa Acre, 2013. 7 p. Biblioteca(s): Embrapa Acre. |
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5. | | EVANGELISTA, J. S.; CORREIA, M. F.; REIS, S. F. dos; FONSECA, F. L. da; WADT, L. H. de O. Comportamento fenológico de Bertholletia excelsa Bonpl. e Carapa guianensis Aubl. durante oito anos, na Amazônia Sul-Ocidental. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA PARA O PROGRESSO DA CIÊNCIA, 66., 2014, Rio Branco. Anais... Rio Branco: SBPC, 2014. 2 p. Biblioteca(s): Embrapa Acre. |
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6. | | AZEVEDO, V. R.; WADT, L. H. de O.; PEDROZO, C.; FONSECA, F. L.; EVANGELISTA, J. S.; REIS, S. F. dos. Seleção de matrizes de bertholletia excelsa bonpl em populações naturais no estado do Acre. In: CONGRESSO DE ECOLOGIA DO BRASIL, 12., 2015, São Lourenço. [Anais...]. [São Lourenço: CEB], 2015. Biblioteca(s): Embrapa Rondônia. |
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9. | | 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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10. | | EVANGELISTA, J. S. P. C.; ALVES, R. S.; PEIXOTO, M. A.; RESENDE, M. D. V. de; TEODORO, P. E.; SILVA, F. L. da; BHERING, L. L. Soybean productivity, stability, and adaptability through mixed model methodology. Ciência Rural, v. 51, n. 2, e20200406, 2021. Título em português: Produtividade, estabilidade e adaptabilidade da soja por meio de metodologia de modelo misto. Biblioteca(s): Embrapa Café. |
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11. | | GOMES, J. K. da S.; FONSECA, F. L. da; CORREIA, M. F.; DUARTE, J. R. de O.; EVANGELISTA, J. S.; WADT, L. H. de O. Enxertia de genótipos de castanheira selecionados no Estado do Acre: pegamento e vigor dos brotos. Pesquisa Florestal Brasileira, v. 39, e201902043, p. 521, 2019. Special issue. Abstracts of the XXV IUFRO World Congress. Biblioteca(s): Embrapa Acre. |
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12. | | EVANGELISTA, J. S. P. C.; PEIXOTO, M. A.; COELHO, I.; ALVES, R.; RESENDE, M. D. V. de; SILVA, F. F. e; LAVIOLA, B.; BHERING, L. L. Genetic evaluation and selection in jatropha curcas through frequentist and bayesian inferences. Bragantia, v. 81, 2022. 12 p. Biblioteca(s): Embrapa Café. |
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13. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. Acta Scientiarum. Agronomy, v. 44, e54136, 2022. Biblioteca(s): Embrapa Algodão. |
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14. | | WADT, P. G. S.; MIQUELONI, D. P.; SILVA, L. M. da; OLIVEIRA JUNIOR, R. C. de; EVANGELISTA, J. S.; WADT, L. H. de O. Caracterização espacial de atributos de um Argissolo Vermelho-Amarelo da Floresta Amazônica no Estado do Acre. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Rondônia. |
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15. | | BEZERRA JUNIOR, R. Q.; TEIXEIRA, M. F. S.; MARTINS, G. R; ABRANTES, M. R.; DIAS, R. P.; ALVES, L. A. O.; LOPES JUNIOR, C. A. F.; SILVA, J. B. A.; EVANGELISTA, J. S. A. M.; SALLES, M. G. F. Alterações histopatológicas da glândula mamária e qualidade do leite de cabras naturalmente infectadas com o CAEV. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 64, n. 6, p. 1577-1583, 2012. Biblioteca(s): Embrapa Caprinos e Ovinos. |
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16. | | FERREIRA, F. M.; EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; ALVES, R. S.; SILVA, D. B.; MALIKOUSKI, R. G.; RESENDE, M. D. V. de; BHERING, L. L.; SANTOS, G. A. Multivariate bayesian analysis for genetic evaluation and selection of eucalyptus in multiple environment trials. Bragantia, v. 81, e2922, 2022. 11 p. Biblioteca(s): Embrapa Café. |
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17. | | PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F; ALVES, R. A.; LAVIOLA, B. G.; SILVA, F. F. e; RESENDE, M. D. V. de; BHERING, L. L. Multiple-trait model through Bayesian inference applied to Jatropha curcas breeding for bioenergy. PLOS ONE , v. 16, n. 3, e0247775, Mar. 2021. 16 Biblioteca(s): Embrapa Agroenergia; Embrapa Café. |
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18. | | FRANCA, L. G. da; ALVES FILHO, E.; RIBEIRO, L. B.; EVANGELISTA, J. S. B.; SILVA, L. M.; SOUZA, P. A. de; MOURA, C. F. H.; CANUTO, K. M.; ARAGAO, F. A. S. de. Metabolomic profiling of acerola clones according to the ripening stage. Journal of Food Measurement and Characterization, 2020. Article in press Biblioteca(s): Embrapa Agroindústria Tropical. |
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19. | | FRANCA, L. G. DA; ALVES FILHO, E.; RIBEIRO, L. B.; EVANGELISTA, J. S. B.; SILVA, L. M. A. e; SOUZA, P. A. DE; CANUTO, K. M.; ARAGAO, F. A. S. de. Metabolomic profling of acerola clones according to the ripening stage. Journal of Food Measurement and Characterization, v. 15, n. 1, p. 416-424, 2021. Biblioteca(s): Embrapa Agroindústria Tropical. |
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20. | | EVANGELISTA, J. S. P. C.; CHAVES, S. F. da S.; BHERING, E. L.; QUEIROZ, V. A. V.; SILVA, D. D. da; GUIMARAES, L. J. M.; DIAS, K. O. das G.; PASTINA, M. M. Seleção de genótipos de milho tropical com menor incidência de fumonisinas em grãos e alta produtividade via predição genômica. Sete Lagoas: Embrapa Milho e Sorgo, 2023. 17 p. (Embrapa Milho e Sorgo. Circular Técnica, 284). Biblioteca(s): Embrapa Milho e Sorgo. |
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Registros recuperados : 24 | |
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Registro Completo
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
26/01/2023 |
Data da última atualização: |
30/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. |
Afiliação: |
MARCO ANTÔNIO PEIXOTO, UNIVERSIDADE FEDERAL DE VIÇOSA; JENIFFER SANTANA PINTO COELHO EVANGELISTA, UNIVERSIDADE FEDERAL DE VIÇOSA; IGOR FERREIRA COELHO, UNIVERSIDADE FEDERAL DE VIÇOSA; LUIZ PAULO DE CARVALHO, CNPA; FRANCISCO JOSE CORREIA FARIAS, CNPA; PAULO EDUARDO TEODORO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LEONARDO LOPES BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA. |
Título: |
Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Acta Scientiarum. Agronomy, v. 44, e54136, 2022. |
ISSN: |
1807-8621 |
DOI: |
10.4025/actasciagron.v44i1.54136 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario. MenosABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*F... Mostrar Tudo |
Thesagro: |
Algodão; Análise Estatística; Genótipo; Gossypium Hirsutum. |
Thesaurus NAL: |
Cotton; Cultivars; Genotype; Seed cotton. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1151251/1/Genotype-selection-based-multiple-2022.pdf
|
Marc: |
LEADER 02957naa a2200313 a 4500 001 2151251 005 2023-01-30 008 2022 bl uuuu u00u1 u #d 022 $a1807-8621 024 7 $a10.4025/actasciagron.v44i1.54136$2DOI 100 1 $aPEIXOTO, M. A. 245 $aGenotype selection based on multiple traits in cotton crops$bthe application of genotype by yield trait biplot.$h[electronic resource] 260 $c2022 520 $aABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario. 650 $aCotton 650 $aCultivars 650 $aGenotype 650 $aSeed cotton 650 $aAlgodão 650 $aAnálise Estatística 650 $aGenótipo 650 $aGossypium Hirsutum 700 1 $aEVANGELISTA, J. S. P. C. 700 1 $aCOELHO, I. F. 700 1 $aCARVALHO, L. P. de 700 1 $aFARIAS, F. J. C. 700 1 $aTEODORO, P. E. 700 1 $aBHERING, L. L. 773 $tActa Scientiarum. Agronomy$gv. 44, e54136, 2022.
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