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Artigo de periodico
Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions (2023)
Campos, Gabriela Romêro ; Prado, Melina ; Borges, Karina Lima Reis; Yassue, Rafael Massahiro ; Sabadin, Felipe; Silva, Allison Vieira da ; Barbosa, Caio Morais de Alcântara ; Sposito, Marcel Bellato ; Amorim, Lilian ; Fritsche-Neto, Roberto
Source: Scientific Reports. Unidade: ESALQ
Subjects: CRUZAMENTO VEGETAL, DIVERSIDADE GENÉTICA, FERRUGEM (DOENÇA DE PLANTA), FRAMBOESA, GENÓTIPOS, HIBRIDAÇÃO VEGETAL, RESISTÊNCIA GENÉTICA VEGETAL, VARIEDADES VEGETAIS
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ABNT
CAMPOS, Gabriela Romêro et al. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions. Scientific Reports, v. 13, p. 1-11, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-41728-8. Acesso em: 01 nov. 2024.
APA
Campos, G. R., Prado, M., Borges, K. L. R., Yassue, R. M., Sabadin, F., Silva, A. V. da, et al. (2023). Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions. Scientific Reports, 13, 1-11. doi:10.1038/s41598-023-41728-8
NLM
Campos GR, Prado M, Borges KLR, Yassue RM, Sabadin F, Silva AV da, Barbosa CM de A, Sposito MB, Amorim L, Fritsche-Neto R. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions [Internet]. Scientific Reports. 2023 ; 13 1-11.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1038/s41598-023-41728-8
Vancouver
Campos GR, Prado M, Borges KLR, Yassue RM, Sabadin F, Silva AV da, Barbosa CM de A, Sposito MB, Amorim L, Fritsche-Neto R. Construction and genetic characterization of an interspecific raspberry hybrids panel aiming resistance to late leaf rust and adaptation to tropical regions [Internet]. Scientific Reports. 2023 ; 13 1-11.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1038/s41598-023-41728-8
Artigo de periodico
Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation (2023)
Yassue, Rafael Massahiro ; Galli, Giovanni ; Chun-Peng, James Chen; Fritsche-Neto, Roberto ; Morota, Gota
Source: Plant Direct. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, BACTÉRIAS, ESTIMULANTES DE CRESCIMENTO VEGETAL, FENÓTIPOS, GENÔMICA, INOCULAÇÃO, MILHO
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YASSUE, Rafael Massahiro et al. Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation. Plant Direct, v. 7, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1002/pld3.492. Acesso em: 01 nov. 2024.
APA
Yassue, R. M., Galli, G., Chun-Peng, J. C., Fritsche-Neto, R., & Morota, G. (2023). Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation. Plant Direct, 7, 1-12. doi:10.1002/pld3.492
NLM
Yassue RM, Galli G, Chun-Peng JC, Fritsche-Neto R, Morota G. Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation [Internet]. Plant Direct. 2023 ; 7 1-12.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1002/pld3.492
Vancouver
Yassue RM, Galli G, Chun-Peng JC, Fritsche-Neto R, Morota G. Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation [Internet]. Plant Direct. 2023 ; 7 1-12.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1002/pld3.492
Artigo de periodico
Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice (2023)
Bi, Ye ; Yassue, Rafael Massahiro ; Paul, Puneet ; Dhatt, Balpreet Kaur ; Sandhu, Jaspreet; Do, Phuc Thi ; Walia, Harkamal ; Obata, Toshihiro ; Morota, Gota
Source: G3 Genes|Genomes|Genetics. Unidade: ESALQ
Subjects: ALTA TEMPERATURA, ARROZ, ESTRESSE, GENÔMICA, GENÓTIPOS, METABÓLITOS, POLIMORFISMO
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BI, Ye et al. Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice. G3 Genes|Genomes|Genetics, v. 13, n. 5, p. 1-16, 2023Tradução . . Disponível em: https://doi.org/10.1093/g3journal/jkad052. Acesso em: 01 nov. 2024.
APA
Bi, Y., Yassue, R. M., Paul, P., Dhatt, B. K., Sandhu, J., Do, P. T., et al. (2023). Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice. G3 Genes|Genomes|Genetics, 13( 5), 1-16. doi:10.1093/g3journal/jkad052
NLM
Bi Y, Yassue RM, Paul P, Dhatt BK, Sandhu J, Do PT, Walia H, Obata T, Morota G. Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice [Internet]. G3 Genes|Genomes|Genetics. 2023 ; 13( 5): 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/g3journal/jkad052
Vancouver
Bi Y, Yassue RM, Paul P, Dhatt BK, Sandhu J, Do PT, Walia H, Obata T, Morota G. Evaluating metabolic and genomic data for predicting grain traits under high night temperature stress in rice [Internet]. G3 Genes|Genomes|Genetics. 2023 ; 13( 5): 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/g3journal/jkad052
Tese (Doutorado)
From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria (2022)
Yassue, Rafael Massahiro ; Fritsche Neto, Roberto (Orientador)
Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, APRENDIZADO COMPUTACIONAL, BACTÉRIAS, ESTIMULANTES DE CRESCIMENTO VEGETAL, GENÔMICA, MILHO, POLIMORFISMO, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YASSUE, Rafael Massahiro. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria. 2022. Tese (Doutorado) – Universidade de São Paulo, Piracicaba, 2022. Disponível em: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/. Acesso em: 01 nov. 2024.
APA
Yassue, R. M. (2022). From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria (Tese (Doutorado). Universidade de São Paulo, Piracicaba. Recuperado de https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/
NLM
Yassue RM. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria [Internet]. 2022 ;[citado 2024 nov. 01 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/
Vancouver
Yassue RM. From pixel to knowledge: how high-throughput phenotyping helps to dissect the genetic architecture and improves predictive ability in maize under inoculation with plant growth-promoting bacteria [Internet]. 2022 ;[citado 2024 nov. 01 ] Available from: https://www.teses.usp.br/teses/disponiveis/11/11137/tde-07122022-122617/
Artigo de periodico
Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids (2022)
Galli, Giovanni ; Sabadin, F; Yassue, Rafael Massahiro ; Galves, C; Carvalho, H. F; Crossa, J; Montesinos-López, O. A; Fritsche-Neto, Roberto
Source: Frontiers in Plant Science. Unidade: ESALQ
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, HIBRIDAÇÃO VEGETAL, MILHO, REDES NEURAIS
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ABNT
GALLI, Giovanni et al. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids. Frontiers in Plant Science, v. 13, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.3389/fpls.2022.845524. Acesso em: 01 nov. 2024.
APA
Galli, G., Sabadin, F., Yassue, R. M., Galves, C., Carvalho, H. F., Crossa, J., et al. (2022). Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids. Frontiers in Plant Science, 13, 1-13. doi:10.3389/fpls.2022.845524
NLM
Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids [Internet]. Frontiers in Plant Science. 2022 ; 13 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3389/fpls.2022.845524
Vancouver
Galli G, Sabadin F, Yassue RM, Galves C, Carvalho HF, Crossa J, Montesinos-López OA, Fritsche-Neto R. Automated machine learning: a case study of genomic “image-based” prediction in maize hybrids [Internet]. Frontiers in Plant Science. 2022 ; 13 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.3389/fpls.2022.845524
Artigo de periodico
Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data (2022)
Yassue, Rafael Massahiro ; Galli, Giovanni ; Fritsche‐Neto, Roberto ; Morota, Gota
Source: Crop Science. Unidade: ESALQ
Subjects: ANÁLISE ESPECTRAL, BACTÉRIAS, ESTIMULANTES DE CRESCIMENTO VEGETAL, GENÔMICA, INOCULAÇÃO, MILHO
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ABNT
YASSUE, Rafael Massahiro et al. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data. Crop Science, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1002/csc2.20836. Acesso em: 01 nov. 2024.
APA
Yassue, R. M., Galli, G., Fritsche‐Neto, R., & Morota, G. (2022). Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data. Crop Science, 1-13. doi:10.1002/csc2.20836
NLM
Yassue RM, Galli G, Fritsche‐Neto R, Morota G. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data [Internet]. Crop Science. 2022 ; 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1002/csc2.20836
Vancouver
Yassue RM, Galli G, Fritsche‐Neto R, Morota G. Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data [Internet]. Crop Science. 2022 ; 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1002/csc2.20836
Artigo de periodico
Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies (2022)
Rocha, Lucas Fernandes; Benatti, Thiago Romanos; Siqueira, Leandro de; Souza, Izabel Christina Gava de; Bianchin, Isadora; Souza, Aguinaldo José de; Fernandes, Aline Cristina Miranda; Oda, Shinitiro; Stape, José Luiz; Yassue, Rafael Massahiro ; Carvalho, Humberto Fanelli; Müller, Niels A; Fladung, Matthias; Acosta, Juan Jose; Fritsche-Neto, Roberto ; Tambarussi, Evandro Vagner
Source: Tree Genetics & Genomes. Unidade: ESALQ
Subjects: CRESCIMENTO VEGETAL, EUCALIPTO, EXPRESSÃO GÊNICA, FENÓTIPOS, GENÔMICA, MADEIRA, MAPEAMENTO GENÉTICO
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ABNT
ROCHA, Lucas Fernandes et al. Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies. Tree Genetics & Genomes, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11295-022-01570-x. Acesso em: 01 nov. 2024.
APA
Rocha, L. F., Benatti, T. R., Siqueira, L. de, Souza, I. C. G. de, Bianchin, I., Souza, A. J. de, et al. (2022). Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies. Tree Genetics & Genomes. doi:10.1007/s11295-022-01570-x
NLM
Rocha LF, Benatti TR, Siqueira L de, Souza ICG de, Bianchin I, Souza AJ de, Fernandes ACM, Oda S, Stape JL, Yassue RM, Carvalho HF, Müller NA, Fladung M, Acosta JJ, Fritsche-Neto R, Tambarussi EV. Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies [Internet]. Tree Genetics & Genomes. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s11295-022-01570-x
Vancouver
Rocha LF, Benatti TR, Siqueira L de, Souza ICG de, Bianchin I, Souza AJ de, Fernandes ACM, Oda S, Stape JL, Yassue RM, Carvalho HF, Müller NA, Fladung M, Acosta JJ, Fritsche-Neto R, Tambarussi EV. Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies [Internet]. Tree Genetics & Genomes. 2022 ;[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s11295-022-01570-x
Artigo de periodico
On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience (2021)
Yassue, Rafael Massahiro ; Carvalho, Humberto Fanelli; Gevartosky, Raysa ; Sabadin, José Felipe Gonzaga ; Souza, Pedro Henrique ; Bonatelli, Maria Leticia ; Azevedo, João Lúcio ; Verdi, Maria Carolina Quecine ; Fritsche Neto, Roberto
Source: Molecular Breeding. Unidade: ESALQ
Subjects: MELHORAMENTO GENÉTICO VEGETAL, MILHO, SIMBIOSE, BACTÉRIAS, REGULADORES DE CRESCIMENTO VEGETAL, RESISTÊNCIA GENÉTICA VEGETAL, MAPEAMENTO GENÉTICO
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ABNT
YASSUE, Rafael Massahiro et al. On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience. Molecular Breeding, v. 41, p. 1-16, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11032-021-01257-6. Acesso em: 01 nov. 2024.
APA
Yassue, R. M., Carvalho, H. F., Gevartosky, R., Sabadin, J. F. G., Souza, P. H., Bonatelli, M. L., et al. (2021). On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience. Molecular Breeding, 41, 1-16. doi:10.1007/s11032-021-01257-6
NLM
Yassue RM, Carvalho HF, Gevartosky R, Sabadin JFG, Souza PH, Bonatelli ML, Azevedo JL, Verdi MCQ, Fritsche Neto R. On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience [Internet]. Molecular Breeding. 2021 ; 41 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s11032-021-01257-6
Vancouver
Yassue RM, Carvalho HF, Gevartosky R, Sabadin JFG, Souza PH, Bonatelli ML, Azevedo JL, Verdi MCQ, Fritsche Neto R. On the genetic architecture in a public tropical maize panel of the symbiosis between corn and plant growth-promoting bacteria aiming to improve plant resilience [Internet]. Molecular Breeding. 2021 ; 41 1-16.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s11032-021-01257-6
Artigo de periodico
CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction (2021)
Yassue, Rafael Massahiro ; Sabadin, Felipe; Galli, Giovanni ; Alves, Filipe Couto; Fritsche-Neto, Roberto
Source: Euphytica. Unidade: ESALQ
Subjects: AMOSTRAGEM, GENÔMICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS, SELEÇÃO GENÉTICA
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ABNT
YASSUE, Rafael Massahiro et al. CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction. Euphytica, v. 217, p. 1-13, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10681-021-02831-x. Acesso em: 01 nov. 2024.
APA
Yassue, R. M., Sabadin, F., Galli, G., Alves, F. C., & Fritsche-Neto, R. (2021). CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction. Euphytica, 217, 1-13. doi:10.1007/s10681-021-02831-x
NLM
Yassue RM, Sabadin F, Galli G, Alves FC, Fritsche-Neto R. CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction [Internet]. Euphytica. 2021 ; 217 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s10681-021-02831-x
Vancouver
Yassue RM, Sabadin F, Galli G, Alves FC, Fritsche-Neto R. CV-α: designing validations sets to increase the precision and enable multiple comparison tests in genomic prediction [Internet]. Euphytica. 2021 ; 217 1-13.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s10681-021-02831-x
Artigo de periodico
Assessing tolerance to Asian soybean rust in soybean inbred lines from exotic and adapted crosses (2020)
Espolador, Fernando Garcia ; Yassue, Rafael Massahiro ; Morosini, Júlia Silva ; Bornhofen, Elesandro ; Barbosa, Pedro Augusto Medeiros; Souza, Renan Silva e ; Vello, Natal Antonio
Source: Euphytica. Unidade: ESALQ
Subjects: FERRUGEM (DOENÇA DE PLANTA), CRUZAMENTO VEGETAL, FUNGOS FITOPATOGÊNICOS, LINHAGENS VEGETAIS, RESISTÊNCIA GENÉTICA VEGETAL, SOJA
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ABNT
ESPOLADOR, Fernando Garcia et al. Assessing tolerance to Asian soybean rust in soybean inbred lines from exotic and adapted crosses. Euphytica, v. 216, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10681-020-02597-8. Acesso em: 01 nov. 2024.
APA
Espolador, F. G., Yassue, R. M., Morosini, J. S., Bornhofen, E., Barbosa, P. A. M., Souza, R. S. e, & Vello, N. A. (2020). Assessing tolerance to Asian soybean rust in soybean inbred lines from exotic and adapted crosses. Euphytica, 216, 1-8. doi:10.1007/s10681-020-02597-8
NLM
Espolador FG, Yassue RM, Morosini JS, Bornhofen E, Barbosa PAM, Souza RS e, Vello NA. Assessing tolerance to Asian soybean rust in soybean inbred lines from exotic and adapted crosses [Internet]. Euphytica. 2020 ; 216 1-8.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s10681-020-02597-8
Vancouver
Espolador FG, Yassue RM, Morosini JS, Bornhofen E, Barbosa PAM, Souza RS e, Vello NA. Assessing tolerance to Asian soybean rust in soybean inbred lines from exotic and adapted crosses [Internet]. Euphytica. 2020 ; 216 1-8.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1007/s10681-020-02597-8
Dissertação (Mestrado)
Tolerância da soja à ferrugem asiática em dialelo multivariado e ambientes contrastantes de fungicidas (2018)
Yassue, Rafael Massahiro; Vello, Natal Antonio (Orientador)
Unidade: ESALQ
Subjects: ANÁLISE MULTIVARIADA, FERRUGEM (DOENÇA DE PLANTA), FUNGICIDAS, FUNGOS FITOPATOGÊNICOS, RESISTÊNCIA GENÉTICA VEGETAL, SELEÇÃO GENÉTICA, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YASSUE, Rafael Massahiro. Tolerância da soja à ferrugem asiática em dialelo multivariado e ambientes contrastantes de fungicidas. 2018. Dissertação (Mestrado) – Universidade de São Paulo, Piracicaba, 2018. Disponível em: http://www.teses.usp.br/teses/disponiveis/11/11137/tde-08112018-181132/. Acesso em: 01 nov. 2024.
APA
Yassue, R. M. (2018). Tolerância da soja à ferrugem asiática em dialelo multivariado e ambientes contrastantes de fungicidas (Dissertação (Mestrado). Universidade de São Paulo, Piracicaba. Recuperado de http://www.teses.usp.br/teses/disponiveis/11/11137/tde-08112018-181132/
NLM
Yassue RM. Tolerância da soja à ferrugem asiática em dialelo multivariado e ambientes contrastantes de fungicidas [Internet]. 2018 ;[citado 2024 nov. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/11/11137/tde-08112018-181132/
Vancouver
Yassue RM. Tolerância da soja à ferrugem asiática em dialelo multivariado e ambientes contrastantes de fungicidas [Internet]. 2018 ;[citado 2024 nov. 01 ] Available from: http://www.teses.usp.br/teses/disponiveis/11/11137/tde-08112018-181132/

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