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Registros recuperados : 8 | |
1. | | FASANELLA, C. C.; DIAS, A. C. F.; MELO, I. S. de; LUVIZOTTO, D.; PIZZIRANI-KLEINER, A. A.; DINI-ANDREOTE, F. Diversidade e funcionalidade fúngica na biorremediação de manguezais contaminados com petróleo. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 26., 2011, Foz do Iguaçu. Anais... Foz do Iguaçu: Sociedade Brasileira de Microbiologia, 2011. Resumo 417-1. Biblioteca(s): Embrapa Meio Ambiente. |
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2. | | SOARES JUNIOR, F. L.; DIAS, A. C. F.; FASANELLA, C. C.; TAKETANI, R. G.; LIMA, A. O. S.; MELO, I. S. de; ANDREOTE, F. D. Endo- and exoglucanase activities in bacteria from mangrove sediment. Brazilian Journal of Microbiology, Piracicaba, v. 44, n. 3, p. 969-976, 2013. Biblioteca(s): Embrapa Meio Ambiente. |
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3. | | ANDREOTE, F. D.; DIAS, A. C. F.; FASANELLA, C. C.; TAKETANI, R. G.; ÁVILA, L. A.; PIZZIRANI-KLEINER, A. A.; AZEVEDO, J. L.; MELO, I. S. de. Microbial communities shifting in mangroves under distinct pollution state might name candidates for bioremediation programs. In: WORKSHOP DE BIODEGRADAÇÃO E BIORREMEDIAÇÃO, 3., 2009, Campinas. Anais... Jaguariúna: Embrapa Meio Ambiente, 2009. 1 CD-ROM. Biblioteca(s): Embrapa Meio Ambiente. |
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4. | | SÁ, A. L. B.; DIAS, A. C. F.; QUECINE, M. C.; COTTA, S. R.; FASANELLA, C. C.; ANDREOTE, F. D.; MELO, I. S. de. Screening of endoglucanase-producing bacteria in the saline rhizosphere of Rhizophora mangle. Brazilian Journal of Microbiology, São Paulo, v. 45, n. 1, p. 193-197, 2014. Biblioteca(s): Embrapa Meio Ambiente. |
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5. | | DURRER, A.; LOPEZ, M. V.; DIAS, A. C. F.; FASANELLA, C. C.; TAKETANI, R. G.; MELO, I. S. de; DINI-ANDREOTE, F. The sulfur-processing community of mangroves under distinct historic of contamination in Brazil. In: CONGRESSO BRASILEIRO DE MICROBIOLOGIA, 26., 2011, Foz do Iguaçu. Anais... Foz do Iguaçu: Sociedade Brasileira de Microbiologia, 2011. Resumo 791-1. Biblioteca(s): Embrapa Meio Ambiente. |
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6. | | VARON-LOPEZ, M.; DIAS, A. C. F.; FASANELLA, C. C.; DURRER, A.; MELO, I. S. de; KURAMAE, E. E.; ANDREOTE, F. D. Sulphur-oxidizing and sulphate-reducing communities in Brazilian mangrove sediments. Environmental Microbiology, Oxford, v. 16, n. 3, p. 845-855, 2014. Biblioteca(s): Embrapa Meio Ambiente. |
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7. | | ANDREOTE, F. D.; JIMENEZ, D. J.; CHAVES, D.; DIAS, A. C. F.; LUVIZOTTO, D. M.; DINI-ANDREOTE, F.; FASANELLA, C. C.; VARON LOPEZ, M.; BAENA, S.; TAKETANI, R. G.; MELO, I. S. de. The microbiome of brazilian mangrove sediments as revealed by metagenomics. Plos One, v. 7, n. 6, 14 p., 2012. Biblioteca(s): Embrapa Meio Ambiente. |
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8. | | FASANELLA, C. C.; DIAS, A. C. F.; RIGONATO, J.; FIORE, M. F.; SOARES JUNIOR, F. L.; MELO, I. S. de; PIZZIRANI-KLEINER, A. A.; ELSAS, J. D. van; ANDREOTE, F. D. The selection exerted by oil contamination on mangrove fungal communities. Water, Air and Soil Pollution, Dordrecht, v. 223, n. 7, p. 4233-4243, 2012. Biblioteca(s): Embrapa Meio Ambiente. |
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Registros recuperados : 8 | |
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Registro Completo
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
06/12/2023 |
Data da última atualização: |
06/12/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SILVA, C. M. e; MEZZOMO, H. C.; ALVES, R. S.; RESENDE, M. D. V. de; NARDINO, M. |
Afiliação: |
CAIQUE MACHADO E SILVA, UNIVERSIDADE FEDERAL DE VIÇOSA; HENRIQUE CALETTI MEZZOMO, UNIVERSIDADE FEDERAL DE VIÇOSA; RODRIGO SILVA ALVES, INSTITUTO NACIONAL DE CIÊNCIA E TECNOLOGIADO CAFÉ; MARCOS DEON VILELA DE RESENDE, CNPCa; MAICON NARDINO, UNIVERSIDADE FEDERAL DE VIÇOSA. |
Título: |
Optimizing selection of wheat genotypes through simulatedindividual BLUP and modified simulated individual BLUP. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Agronomy Journal, v. 115, n. 3, p. 1237-1247, 2023. |
Idioma: |
Inglês |
Conteúdo: |
The early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different methods for the selection of individual plants in early wheat breeding stages, compare the efficiency of each method, and suggest the most suitable one for implementation in wheat breeding programs. An experiment with 56 F2 segregant populations derived from a complete diallel, together with eight parents, was conducted and evaluated for grain yield (g pL−1). Analysis of variance and mixed model analysis were applied to obtain the genetic parameters and predict genotypic values. Four selection strategies were designed: mass selection and other three mixed model-based methods (individual best linear unbiased prediction [BLUPI]; simulated individual best linear unbiased prediction [BLUPIS]; and modified simulated individual best linear unbiased [BLPISM]). The genotypic variability among and within populations allowed the selection of superior genotypes. Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI. The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants. MenosThe early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different methods for the selection of individual plants in early wheat breeding stages, compare the efficiency of each method, and suggest the most suitable one for implementation in wheat breeding programs. An experiment with 56 F2 segregant populations derived from a complete diallel, together with eight parents, was conducted and evaluated for grain yield (g pL−1). Analysis of variance and mixed model analysis were applied to obtain the genetic parameters and predict genotypic values. Four selection strategies were designed: mass selection and other three mixed model-based methods (individual best linear unbiased prediction [BLUPI]; simulated individual best linear unbiased prediction [BLUPIS]; and modified simulated individual best linear unbiased [BLPISM]). The genotypic variability among and within populations allowed the selection of superior genotypes. Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI. The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing... Mostrar Tudo |
Thesaurus NAL: |
Genotype; Plant breeding; Wheat. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02152naa a2200205 a 4500 001 2159224 005 2023-12-06 008 2023 bl uuuu u00u1 u #d 100 1 $aSILVA, C. M. e 245 $aOptimizing selection of wheat genotypes through simulatedindividual BLUP and modified simulated individual BLUP.$h[electronic resource] 260 $c2023 520 $aThe early stages of wheat breeding programs often contain large number of plants in segregating populations that must be selected. Selecting the best populations and plants in those stages is not an easy task, making it necessary to use robust methodologies that facilitate the selection process. The goals of this work were to evaluate different methods for the selection of individual plants in early wheat breeding stages, compare the efficiency of each method, and suggest the most suitable one for implementation in wheat breeding programs. An experiment with 56 F2 segregant populations derived from a complete diallel, together with eight parents, was conducted and evaluated for grain yield (g pL−1). Analysis of variance and mixed model analysis were applied to obtain the genetic parameters and predict genotypic values. Four selection strategies were designed: mass selection and other three mixed model-based methods (individual best linear unbiased prediction [BLUPI]; simulated individual best linear unbiased prediction [BLUPIS]; and modified simulated individual best linear unbiased [BLPISM]). The genotypic variability among and within populations allowed the selection of superior genotypes. Simple linear regression analysis and Spearman correlation analysis allowed to conclude that BLUPIS and BLUPISM are equivalent to BLUPI. The BLUPIS and BLUPISM should be used because they easily indicate for the selection of plants in populations with positive genetic effects, dismissing the evaluation of individual plants. 650 $aGenotype 650 $aPlant breeding 650 $aWheat 700 1 $aMEZZOMO, H. C. 700 1 $aALVES, R. S. 700 1 $aRESENDE, M. D. V. de 700 1 $aNARDINO, M. 773 $tAgronomy Journal$gv. 115, n. 3, p. 1237-1247, 2023.
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