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Artigo de periodico
Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility (2020)
Correr, Fernando Henrique ; Hosaka, Guilherme Kenichi ; Gómez, Sergio Gregorio Pérez; Cia, Mariana Cicarelli ; Vitorello, Claudia Barros Monteiro ; Camargo, Luis Eduardo Aranha ; Massola Júnior, Nelson Sidnei ; Carneiro, M. S; Margarido, Gabriel Rodrigues Alves
Source: Plant Cell Reports. Unidades: ESALQ, BIOENERGIA
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, CANA-DE-AÇÚCAR, EXPRESSÃO GÊNICA, FERRUGEM (DOENÇA DE PLANTA), FUNGOS FITOPATOGÊNICOS, GENÔMICA, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRER, Fernando Henrique et al. Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility. Plant Cell Reports, v. 39, p. 873–889, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00299-020-02536-w. Acesso em: 01 nov. 2024.
APA
Correr, F. H., Hosaka, G. K., Gómez, S. G. P., Cia, M. C., Vitorello, C. B. M., Camargo, L. E. A., et al. (2020). Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility. Plant Cell Reports, 39, 873–889. doi:10.1007/s00299-020-02536-w
NLM
Correr FH, Hosaka GK, Gómez SGP, Cia MC, Vitorello CBM, Camargo LEA, Massola Júnior NS, Carneiro MS, Margarido GRA. Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility [Internet]. Plant Cell Reports. 2020 ; 39 873–889.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00299-020-02536-w
Vancouver
Correr FH, Hosaka GK, Gómez SGP, Cia MC, Vitorello CBM, Camargo LEA, Massola Júnior NS, Carneiro MS, Margarido GRA. Time-series expression profiling of sugarcane leaves infected with Puccinia kuehnii reveals an ineffective defense system leading to susceptibility [Internet]. Plant Cell Reports. 2020 ; 39 873–889.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s00299-020-02536-w
Artigo de periodico
Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning (2020)
Correr, Fernando Henrique ; Hosaka, Guilherme Kenichi ; Barreto, Fernanda Zatti; Valadão, Isabella Barros; Balsalobre, Thiago Willian Almeida; Furtado, Agnelo; Henry, Robert James; Carneiro, Monalisa Sampaio; Margarido, Gabriel Rodrigues Alves
Source: BMC Genomics. Unidades: ESALQ, BIOENERGIA
Subjects: BIOMASSA, CANA-DE-AÇÚCAR, CARBONO, EXPRESSÃO GÊNICA, GENÓTIPOS, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRER, Fernando Henrique et al. Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning. BMC Genomics, v. 21, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1186/s12864-020-07091-y. Acesso em: 01 nov. 2024.
APA
Correr, F. H., Hosaka, G. K., Barreto, F. Z., Valadão, I. B., Balsalobre, T. W. A., Furtado, A., et al. (2020). Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning. BMC Genomics, 21, 1-16. doi:10.1186/s12864-020-07091-y
NLM
Correr FH, Hosaka GK, Barreto FZ, Valadão IB, Balsalobre TWA, Furtado A, Henry RJ, Carneiro MS, Margarido GRA. Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning [Internet]. BMC Genomics. 2020 ; 21 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s12864-020-07091-y
Vancouver
Correr FH, Hosaka GK, Barreto FZ, Valadão IB, Balsalobre TWA, Furtado A, Henry RJ, Carneiro MS, Margarido GRA. Differential expression in leaves of Saccharum genotypes contrasting in biomass production provides evidence of genes involved in carbon partitioning [Internet]. BMC Genomics. 2020 ; 21 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1186/s12864-020-07091-y
Trabalho de evento-resumo
Isoform-Aware Expression Analyses in Sugarcane Enhance the Identification of Candidate Genes for Fiber Content (2020)
Margarido, Gabriel Rodrigues Alves ; Correr, Fernando Henrique ; Hosaka, Guilherme Kenichi ; Barreto, Fernanda Z; Balsalobre, Thiago W. A; Carneiro, M. S
Source: The Largest Ag-Genomics Meeting in the World. Conference titles: The International Conference on The Status of Plant & Animal Genome Research. Unidades: ESALQ, BIOENERGIA
Subjects: CANA-DE-AÇÚCAR, EXPRESSÃO GÊNICA, GENÓTIPOS, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARGARIDO, Gabriel Rodrigues Alves et al. Isoform-Aware Expression Analyses in Sugarcane Enhance the Identification of Candidate Genes for Fiber Content. 2020, Anais.. San Diego, CA: USDA, Agricultural Research Service, 2020. Disponível em: https://www.intlpag.org/2020/. Acesso em: 01 nov. 2024.
APA
Margarido, G. R. A., Correr, F. H., Hosaka, G. K., Barreto, F. Z., Balsalobre, T. W. A., & Carneiro, M. S. (2020). Isoform-Aware Expression Analyses in Sugarcane Enhance the Identification of Candidate Genes for Fiber Content. In The Largest Ag-Genomics Meeting in the World. San Diego, CA: USDA, Agricultural Research Service. Recuperado de https://www.intlpag.org/2020/
NLM
Margarido GRA, Correr FH, Hosaka GK, Barreto FZ, Balsalobre TWA, Carneiro MS. Isoform-Aware Expression Analyses in Sugarcane Enhance the Identification of Candidate Genes for Fiber Content [Internet]. The Largest Ag-Genomics Meeting in the World. 2020 ;[citado 2024 nov. 01 ] Available from: https://www.intlpag.org/2020/
Vancouver
Margarido GRA, Correr FH, Hosaka GK, Barreto FZ, Balsalobre TWA, Carneiro MS. Isoform-Aware Expression Analyses in Sugarcane Enhance the Identification of Candidate Genes for Fiber Content [Internet]. The Largest Ag-Genomics Meeting in the World. 2020 ;[citado 2024 nov. 01 ] Available from: https://www.intlpag.org/2020/

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