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| Registros recuperados : 14 | |
| 4. |  | LIMA, J. D.; MORAES, W. da S.; SILVA, S. H. M. G. da; IBRAHIM, F. N.; SILVA JÚNIOR, A. C. da. Acúmulo de compostos nitrogenados e atividade da redutase do nitrato em alface produzida sob diferentes sistemas de cultivo. Pesquisa Agropecuária Tropical, Goiânia, v. 38, n. 3, p. 180-187, set. 2008.| Biblioteca(s): Embrapa Hortaliças. |
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| 7. | | SOARES, P. C.; GONÇALVES, R. de P.; COSTA, W. G. da; SILVA JÚNIOR, A. C. da; REIS, M. de S.; CONDÉ, A. B. T.; TORGA, P. P. Ensaio comparativo preliminar de arroz irrigado em Minas Gerais ? safra 2018/2019. In: CONGRESSO BRASILEIRO DE ARROZ IRRIGADO, 11., 2019. Balneário Camboriú, SC. Inovação e desenvolvimento na orizicultura: anais eletrônico. Itajaí: Epagri: Sosbai, 2019.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 8. | | SOARES, P. C.; COSTA, W. G. da; SILVA JUNIOR, A. C. da; CORNÉLIO V. M. de O.; REIS, M. de S.; MORAIS, O. P. de. BRSMG Rubelita: cultivar de arroz para cultivo em várzeas mineiras. In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 9. | | SILVA, M. J. da; SILVA JÚNIOR, A. C. da; CRUZ, C. D.; NASCIMENTO, M.; OLIVEIRA, M. da S.; SCHAFFERT, R. E.; PARRELLA, R. A. da C. Computational intelligence for studies on genetic diversity between genotypes of biomass sorghum. Pesquisa Agropecuária Brasileira, v. 55, e01723, 2020. Título em português: Inteligência computacional para estudos de diversidade genética entre genótipos de sorgo biomassa.| Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Unidades Centrais. |
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| 10. | | COSTA, W. G. da; SANTOS, I. G. dos; SILVA JÚNIOR, A. C. da; CRUZ, C. D.; NASCIMENTO, M.; FERREIRA, R. de P.; VILELA, D. Potential of dry matter yield from alfalfa germplasm in composing base populations. Crop Breeding and Applied Biotechnology, v. 21, n. 2, e36702132, 2021.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 11. | | OLIVEIRA, C. F. de; SOUZA, J. E. de; SIQUEIRA, M. J. da S.; SILVA JÚNIOR, A. C. da; FERREIRA, R. de P.; VILELA, D.; CRUZ, C. D. Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures. Agronomy Science and Biotechnology, v. 9, p. 1-14, 2023.| Biblioteca(s): Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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| 13. | | SILVA, C. M. da; VASCONCELOS, S. S.; MOURÃO JUNIOR, M.; BISPO, C. J. C.; KATO, O. R.; SILVA JUNIOR, A. C. da; CASTELLANI, D. C. Variação temporal do efluxo de CO2 do solo em sistemas agroflorestais com palma de óleo na Amazônia Oriental. Acta Amazonica, Manaus, v. 46, n. 1, p. 1-12, jan./mar. 2016.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 14. | | SILVA JUNIOR, A. C. da; SOUZA, P. J. de O. P. de; SOUSA, D. de P.; MARTORANO, L. G.; SILVA, C. M. da; SILVA, C. M. da; NUNES, H. G. G. C.; LIMA, M. J. A. de; SOUSA, A. M. L. de; PINTO, J. V. de N.; RUIVO, M. de L. P.; ALVES, J. D. N.; CONCEIÇÃO, H. E. O. da. Energy balance, water demand, and crop coefficient of acid lime in the Oriental Amazon. Water, v. 15, n. 6, Article 1239, 2023.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 14 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Pecuária Sudeste. |
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Data corrente: |
25/04/2023 |
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Data da última atualização: |
24/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
OLIVEIRA, C. F. de; SOUZA, J. E. de; SIQUEIRA, M. J. da S.; SILVA JÚNIOR, A. C. da; FERREIRA, R. de P.; VILELA, D.; CRUZ, C. D. |
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Afiliação: |
CRISTIANO FERREIRA DE OLIVEIRA, Universidade Federal de Viçosa; JACQUELINE ENEQUIO DE SOUZA, Universidade Federal de Viçosa; MICHELE JORGE DA SILVA SIQUEIRA, Escola Superior de Agricultura Luiz de Queiroz; ANTÔNIO CARLOS DA SILVA JÚNIOR, Universidade Federal de Viçosa; REINALDO DE PAULA FERREIRA, CPPSE; DUARTE VILELA, CNPGL; COSME DAMIÃO CRUZ, Universidade Federal de Viçosa. |
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Título: |
Selection of alfalfa genotypes for dry matter yield and persistence with repeated measures. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agronomy Science and Biotechnology, v. 9, p. 1-14, 2023. |
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DOI: |
https://doi.org/10.33158/ASB.r177.v9 |
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Idioma: |
Inglês |
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Conteúdo: |
The biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa. MenosThe biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies ... Mostrar Tudo |
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Thesagro: |
Biometria; Genótipo; Matéria Seca; Medicago Sativa. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1153333/1/Selection-of-alfalfa-genotypes-for-dry-matter.pdf
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Marc: |
LEADER 02500naa a2200253 a 4500
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024 7 $ahttps://doi.org/10.33158/ASB.r177.v9$2DOI
100 1 $aOLIVEIRA, C. F. de
245 $aSelection of alfalfa genotypes for dry matter yield and persistence with repeated measures.$h[electronic resource]
260 $c2023
520 $aThe biggest challenge in the alfalfa breeding program is to obtain cultivars with high persistence, high productivity, and adaptability. Therefore, studies about selection methods are necessary for the success of alfalfa breeding programs. This study aimed to evaluate dry matter yield and persistence in alfalfa for selecting genotypes, using appropriate statistical models for experiments with repeated measures. The experiment was conducted at Embrapa Southeast Livestock, in São Carlos, state of São Paulo, Brazil in a randomized blocks design, in plots subdivided in time, with three replicates. Eight genotypes were evaluated, and the agronomic trait evaluated was dry matter yield. The experiments in split-plots were used with two and three errors and generalized linear models with the following correlation structures: composite symmetry (CS), heterogeneous composite symmetry (HCS), auto regressive (AR), heterogeneous auto regressive (HAR), and variance components (VC). The best model was selected according to the lowest value of the Akaike Information Criterion (AIC), and three methodologies were used to identify the genotype with greater productivity and persistence: Average test for multiple comparisons, adaptability, and stability by multi-information, and similarity between genotype and ideotype. The interaction between genotypes and cuts was significant, demonstrating the existence of the different behavior of the alfalfa genotypes over the cuts. Different methodologies allowed to measure the average yield of the alfalfa genotype and the persistence over the cuts. PSB 4 genotype demonstrated promissory behavior in terms of productivity and persistence throughout the production cycle of alfalfa.
650 $aBiometria
650 $aGenótipo
650 $aMatéria Seca
650 $aMedicago Sativa
700 1 $aSOUZA, J. E. de
700 1 $aSIQUEIRA, M. J. da S.
700 1 $aSILVA JÚNIOR, A. C. da
700 1 $aFERREIRA, R. de P.
700 1 $aVILELA, D.
700 1 $aCRUZ, C. D.
773 $tAgronomy Science and Biotechnology$gv. 9, p. 1-14, 2023.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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