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  • Source: International Journal of Biometeorology. Unidade: ESALQ

    Subjects: DEFICIT HÍDRICO, EUCALIPTO, MANEJO FLORESTAL, RISCO AMBIENTAL, SIMULAÇÃO

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      FREITAS, Cleverson Henrique de; ELLI, Elvis Felipe; SENTELHAS, Paulo Cesar. On-farm assessment of eucalypt yield gaps: a case study for the producing areas of the state of Minas Gerais, Brazil. International Journal of Biometeorology, Berlim, 2021. Disponível em: < https://doi.org/10.1007/s00484-021-02120-1 > DOI: 10.1007/s00484-021-02120-1.
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      Freitas, C. H. de, Elli, E. F., & Sentelhas, P. C. (2021). On-farm assessment of eucalypt yield gaps: a case study for the producing areas of the state of Minas Gerais, Brazil. International Journal of Biometeorology. doi:10.1007/s00484-021-02120-1
    • NLM

      Freitas CH de, Elli EF, Sentelhas PC. On-farm assessment of eucalypt yield gaps: a case study for the producing areas of the state of Minas Gerais, Brazil [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02120-1
    • Vancouver

      Freitas CH de, Elli EF, Sentelhas PC. On-farm assessment of eucalypt yield gaps: a case study for the producing areas of the state of Minas Gerais, Brazil [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02120-1
  • Unidade: ESALQ

    Subjects: AQUECIMENTO GLOBAL, CLIMATOLOGIA, FLORESTAS, MUDANÇA CLIMÁTICA, SILVICULTURA

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      ALVARES, Clayton Alcarde; SENTELHAS, Paulo Cesar; CHOU, Sin Chan. Future climate projections in South America and their influence on forest plantations. [S.l: s.n.], 2021.Disponível em: .
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      Alvares, C. A., Sentelhas, P. C., & Chou, S. C. (2021). Future climate projections in South America and their influence on forest plantations. Piracicaba, SP: IPEF. Recuperado de https://www.ipef.br/publicacoes/climatechange/
    • NLM

      Alvares CA, Sentelhas PC, Chou SC. Future climate projections in South America and their influence on forest plantations [Internet]. 2021 ;Available from: https://www.ipef.br/publicacoes/climatechange/
    • Vancouver

      Alvares CA, Sentelhas PC, Chou SC. Future climate projections in South America and their influence on forest plantations [Internet]. 2021 ;Available from: https://www.ipef.br/publicacoes/climatechange/
  • Source: Field Crops Research. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, VARIEDADES VEGETAIS, INTERAÇÃO GENÓTIPO-AMBIENTE

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      DIAS, Henrique Boriolo; INMAN-BAMBER, Geoff; SENTELHAS, Paulo Cesar; et al. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances. Field Crops Research, Amsterdam, v. 274, p. 1-13, 2021. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0378429021002690?via%3Dihub#! > DOI: 10.1016/j.fcr.2021.108323.
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      Dias, H. B., Inman-Bamber, G., Sentelhas, P. C., Everingham, Y., Bermejo, R., & Christodoulou, D. (2021). High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances. Field Crops Research, 274, 1-13. doi:10.1016/j.fcr.2021.108323
    • NLM

      Dias HB, Inman-Bamber G, Sentelhas PC, Everingham Y, Bermejo R, Christodoulou D. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances [Internet]. Field Crops Research. 2021 ; 274 1-13.Available from: https://www.sciencedirect.com/science/article/pii/S0378429021002690?via%3Dihub#!
    • Vancouver

      Dias HB, Inman-Bamber G, Sentelhas PC, Everingham Y, Bermejo R, Christodoulou D. High-yielding sugarcane in tropical Brazil – integrating field experimentation and modelling approach for assessing variety performances [Internet]. Field Crops Research. 2021 ; 274 1-13.Available from: https://www.sciencedirect.com/science/article/pii/S0378429021002690?via%3Dihub#!
  • Source: International Journal of Biometeorology. Unidade: ESALQ

    Subjects: BIOMASSA, BRACHIARIA, DOSSEL (BOTÂNICA), FORRAGEM, GAIOLAS, MICROCLIMATOLOGIA, PASTAGENS

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      YASUOKA, Junior Issamu; PEDREIRA, Carlos Guilherme Silveira; HOLCMAN, Ester; et al. Microclimate of grass canopies and biomass accumulation are influenced by the use of caged exclosures in grazing research. International Journal of Biometeorology, Berlim, 2021. Disponível em: < https://doi.org/10.1007/s00484-021-02187-w > DOI: 10.1007/s00484-021-02187-w.
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      Yasuoka, J. I., Pedreira, C. G. S., Holcman, E., Sentelhas, P. C., Pedroso, G. B., Almeida, O. G. de, & Holschuch, S. G. (2021). Microclimate of grass canopies and biomass accumulation are influenced by the use of caged exclosures in grazing research. International Journal of Biometeorology. doi:10.1007/s00484-021-02187-w
    • NLM

      Yasuoka JI, Pedreira CGS, Holcman E, Sentelhas PC, Pedroso GB, Almeida OG de, Holschuch SG. Microclimate of grass canopies and biomass accumulation are influenced by the use of caged exclosures in grazing research [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02187-w
    • Vancouver

      Yasuoka JI, Pedreira CGS, Holcman E, Sentelhas PC, Pedroso GB, Almeida OG de, Holschuch SG. Microclimate of grass canopies and biomass accumulation are influenced by the use of caged exclosures in grazing research [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02187-w
  • Source: Diferentes abordagens sobre agricultura irrigada no Brasil: técnica e cultura. Unidade: ESALQ

    Subjects: AGRICULTURA, IRRIGAÇÃO, MUDANÇA CLIMÁTICA

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      SENTELHAS, Paulo Cesar. Variabilidade e mudanças climáticas no contexto da agricultura irrigada. In: Diferentes abordagens sobre agricultura irrigada no Brasil: técnica e cultura[S.l: s.n.], 2021.Disponível em: DOI: 10.11606/9786587391120.
    • APA

      Sentelhas, P. C. (2021). Variabilidade e mudanças climáticas no contexto da agricultura irrigada. In Diferentes abordagens sobre agricultura irrigada no Brasil: técnica e cultura. Piracicaba: ESALQ/USP. doi:10.11606/9786587391120
    • NLM

      Sentelhas PC. Variabilidade e mudanças climáticas no contexto da agricultura irrigada [Internet]. In: Diferentes abordagens sobre agricultura irrigada no Brasil: técnica e cultura. Piracicaba: ESALQ/USP; 2021. Available from: https://www.esalq.usp.br/biblioteca/pdf/livro-2-agricultura-irrigada.pdf
    • Vancouver

      Sentelhas PC. Variabilidade e mudanças climáticas no contexto da agricultura irrigada [Internet]. In: Diferentes abordagens sobre agricultura irrigada no Brasil: técnica e cultura. Piracicaba: ESALQ/USP; 2021. Available from: https://www.esalq.usp.br/biblioteca/pdf/livro-2-agricultura-irrigada.pdf
  • Source: Industrial Crops and Products. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, MUDANÇA CLIMÁTICA, SIMULAÇÃO

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      DIAS, Henrique Boriolo; INMAN-BAMBER, Geoff; EVERINGHAM, Yvette; SENTELHAS, Paulo Cesar. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model. Industrial Crops and Products, Amsterdam, v. 171, p. art. 113918 1-12, 2021. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0926669021006828?via%3Dihub#! > DOI: doi.org/10.1016/j.indcrop.2021.113918.
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      Dias, H. B., Inman-Bamber, G., Everingham, Y., & Sentelhas, P. C. (2021). Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model. Industrial Crops and Products, 171, art. 113918 1-12. doi:doi.org/10.1016/j.indcrop.2021.113918
    • NLM

      Dias HB, Inman-Bamber G, Everingham Y, Sentelhas PC. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model [Internet]. Industrial Crops and Products. 2021 ; 171 art. 113918 1-12.Available from: https://www.sciencedirect.com/science/article/pii/S0926669021006828?via%3Dihub#!
    • Vancouver

      Dias HB, Inman-Bamber G, Everingham Y, Sentelhas PC. Sugarcane yield future scenarios in Brazil as projected by the APSIM-Sugar model [Internet]. Industrial Crops and Products. 2021 ; 171 art. 113918 1-12.Available from: https://www.sciencedirect.com/science/article/pii/S0926669021006828?via%3Dihub#!
  • Source: Agricultural Systems. Unidade: ESALQ

    Subjects: CAPIM PIATÃ, EUCALIPTO, SISTEMAS SILVIPASTORIS, SIMULAÇÃO, ÁGUA DO SOLO

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      BOSI, Cristiam; HUTH, Neil Ian; SENTELHAS, Paulo Cesar; PEZZOPANE, José Ricardo Macedo. APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus. Agricultural Systems, Amsterdam, v. 195, p. 1-11, 2021. Disponível em: < https://doi.org/10.1016/j.agsy.2021.103302 > DOI: 10.1016/j.agsy.2021.103302.
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      Bosi, C., Huth, N. I., Sentelhas, P. C., & Pezzopane, J. R. M. (2021). APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus. Agricultural Systems, 195, 1-11. doi:10.1016/j.agsy.2021.103302
    • NLM

      Bosi C, Huth NI, Sentelhas PC, Pezzopane JRM. APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus [Internet]. Agricultural Systems. 2021 ; 195 1-11.Available from: https://doi.org/10.1016/j.agsy.2021.103302
    • Vancouver

      Bosi C, Huth NI, Sentelhas PC, Pezzopane JRM. APSIM model performance in simulating Piatã palisade grass growth and soil water in different positions of a silvopastoral system with eucalyptus [Internet]. Agricultural Systems. 2021 ; 195 1-11.Available from: https://doi.org/10.1016/j.agsy.2021.103302
  • Source: Theoretical and Applied Climatology. Unidade: ESALQ

    Subjects: CACAU, DOENÇAS DE PLANTAS, EL NIÑO, FUNGOS FITOPATOGÊNICOS, TEMPERATURA ATMOSFÉRICA, UMIDADE ATMOSFÉRICA

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      GALVÃO, Ícaro Monteiro; PEREIRA, Gislaine Silva; SENTELHAS, Paulo Cesar. Climatic risk zoning for potential occurrence of cacao moniliasis disease in northeastern Brazil under the influence of ENSO phases. Theoretical and Applied Climatology, Heidelberg, p. 1-23, 2021. Disponível em: < https://assets.researchsquare.com/files/rs-639377/v1/9b1c4833-c17a-4368-aa68-d6dbd40aa7b9.pdf?c=1624977705 > DOI: 10.21203/rs.3.rs-639377/v1.
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      Galvão, Í. M., Pereira, G. S., & Sentelhas, P. C. (2021). Climatic risk zoning for potential occurrence of cacao moniliasis disease in northeastern Brazil under the influence of ENSO phases. Theoretical and Applied Climatology, 1-23. doi:10.21203/rs.3.rs-639377/v1
    • NLM

      Galvão ÍM, Pereira GS, Sentelhas PC. Climatic risk zoning for potential occurrence of cacao moniliasis disease in northeastern Brazil under the influence of ENSO phases [Internet]. Theoretical and Applied Climatology. 2021 ; 1-23.Available from: https://assets.researchsquare.com/files/rs-639377/v1/9b1c4833-c17a-4368-aa68-d6dbd40aa7b9.pdf?c=1624977705
    • Vancouver

      Galvão ÍM, Pereira GS, Sentelhas PC. Climatic risk zoning for potential occurrence of cacao moniliasis disease in northeastern Brazil under the influence of ENSO phases [Internet]. Theoretical and Applied Climatology. 2021 ; 1-23.Available from: https://assets.researchsquare.com/files/rs-639377/v1/9b1c4833-c17a-4368-aa68-d6dbd40aa7b9.pdf?c=1624977705
  • Source: International Journal of Plant Production. Unidade: ESALQ

    Subjects: CLIMA, FERRUGEM (DOENÇA DE PLANTA), FUNGOS FITOPATOGÊNICOS, SEMEADURA, SOJA, EL NIÑO

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      FATTORI JUNIOR, Izael Martins; SENTELHAS, Paulo Cesar; MARIN, Fábio Ricardo. Assessing the Impact of Climate Variability on Asian Rust Severity and Soybean Yields in Different Brazilian Mega-Regions. International Journal of Plant Production, Cham, 2021. Disponível em: < https://doi.org/10.1007/s42106-021-00169-x > DOI: 10.1007/s42106-021-00169-x.
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      Fattori Junior, I. M., Sentelhas, P. C., & Marin, F. R. (2021). Assessing the Impact of Climate Variability on Asian Rust Severity and Soybean Yields in Different Brazilian Mega-Regions. International Journal of Plant Production. doi:10.1007/s42106-021-00169-x
    • NLM

      Fattori Junior IM, Sentelhas PC, Marin FR. Assessing the Impact of Climate Variability on Asian Rust Severity and Soybean Yields in Different Brazilian Mega-Regions [Internet]. International Journal of Plant Production. 2021 ;Available from: https://doi.org/10.1007/s42106-021-00169-x
    • Vancouver

      Fattori Junior IM, Sentelhas PC, Marin FR. Assessing the Impact of Climate Variability on Asian Rust Severity and Soybean Yields in Different Brazilian Mega-Regions [Internet]. International Journal of Plant Production. 2021 ;Available from: https://doi.org/10.1007/s42106-021-00169-x
  • Source: International Journal of Biometeorology. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, COLHEITA, BALANÇO HÍDRICO, CHUVA

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      DIAS, Henrique Boriolo; SENTELHAS, Paulo Cesar. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil. International Journal of Biometeorology, Berlim, 2021. Disponível em: < https://doi.org/10.1007/s00484-021-02145-6 > DOI: 10.1007/s00484-021-02145-6.
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      Dias, H. B., & Sentelhas, P. C. (2021). Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil. International Journal of Biometeorology. doi:10.1007/s00484-021-02145-6
    • NLM

      Dias HB, Sentelhas PC. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02145-6
    • Vancouver

      Dias HB, Sentelhas PC. Assessing the performance of two gridded weather data for sugarcane crop simulations with a process-based model in Center-South Brazil [Internet]. International Journal of Biometeorology. 2021 ;Available from: https://doi.org/10.1007/s00484-021-02145-6
  • Source: Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. Conference title: International Crop Modelling Symposium - ICROPM. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, MUDANÇA CLIMÁTICA, SIMULAÇÃO, TRANSPIRAÇÃO VEGETAL

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      DIAS, Henrique; SENTELHAS, Paulo Cesar; INMAN-BAMBER, Geoff; EVERINGHAM, Yvette. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. Anais.. Montpellier: CIRAD, 2020.Disponível em: .
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      Dias, H., Sentelhas, P. C., Inman-Bamber, G., & Everingham, Y. (2020). Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. In Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. Montpellier: CIRAD. Recuperado de https://www.icropm2020.org/
    • NLM

      Dias H, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. 2020 ;Available from: https://www.icropm2020.org/
    • Vancouver

      Dias H, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop modelling for risk and impact assessment. S5-P29. 2020 ;Available from: https://www.icropm2020.org/
  • Source: Agrometeoros. Unidade: ESALQ

    Subjects: EL NIÑO, FLORAÇÃO, FRUTAS CÍTRICAS, FUNGOS FITOPATOGÊNICOS, PODRIDÃO (DOENÇA DE PLANTA)

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      DIAS, Henrique Boriolo; HINNAH, Fernando Dill; SENTELHAS, Paulo Cesar; COLLETTI, Ana Raquel Soares. Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases. Agrometeoros, Passo Fundo, v. 28, p. 1-11, 2020. Disponível em: < https://seer.sct.embrapa.br/index.php/agrometeoros/article/view/26750/14800 > DOI: dx.doi.org/10.31062/agrom.v28.e026750.
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      Dias, H. B., Hinnah, F. D., Sentelhas, P. C., & Colletti, A. R. S. (2020). Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases. Agrometeoros, 28, 1-11. doi:dx.doi.org/10.31062/agrom.v28.e026750
    • NLM

      Dias HB, Hinnah FD, Sentelhas PC, Colletti ARS. Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases [Internet]. Agrometeoros. 2020 ; 28 1-11.Available from: https://seer.sct.embrapa.br/index.php/agrometeoros/article/view/26750/14800
    • Vancouver

      Dias HB, Hinnah FD, Sentelhas PC, Colletti ARS. Citrus postbloom fruit drop risk in Southern Brazil as influenced by different El Niño Southern Oscillation (ENSO) phases [Internet]. Agrometeoros. 2020 ; 28 1-11.Available from: https://seer.sct.embrapa.br/index.php/agrometeoros/article/view/26750/14800
  • Source: Crop Protection. Unidade: ESALQ

    Subjects: CAFÉ, FERRUGEM (DOENÇA DE PLANTA), FUNGICIDAS, FUNGOS FITOPATOGÊNICOS, TEMPERATURA ATMOSFÉRICA, UMIDADE ATMOSFÉRICA

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      HINNAH, Fernando Dill; SENTELHAS, Paulo Cesar; ALVES PATRÍCIO, Flávia Rodrigues; PAIVA, Rodrigo Naves; PARENTI, Matheus Vilhena. Performance of a weather-based forecast system for chemical control of coffee leaf rust. Crop Protection, Amsterdam, v. 137, p. 1-13, 2020. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0261219420301587?via%3Dihub#! > DOI: doi.org/10.1016/j.cropro.2020.105225.
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      Hinnah, F. D., Sentelhas, P. C., Alves Patrício, F. R., Paiva, R. N., & Parenti, M. V. (2020). Performance of a weather-based forecast system for chemical control of coffee leaf rust. Crop Protection, 137, 1-13. doi:doi.org/10.1016/j.cropro.2020.105225
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      Hinnah FD, Sentelhas PC, Alves Patrício FR, Paiva RN, Parenti MV. Performance of a weather-based forecast system for chemical control of coffee leaf rust [Internet]. Crop Protection. 2020 ; 137 1-13.Available from: https://www.sciencedirect.com/science/article/pii/S0261219420301587?via%3Dihub#!
    • Vancouver

      Hinnah FD, Sentelhas PC, Alves Patrício FR, Paiva RN, Parenti MV. Performance of a weather-based forecast system for chemical control of coffee leaf rust [Internet]. Crop Protection. 2020 ; 137 1-13.Available from: https://www.sciencedirect.com/science/article/pii/S0261219420301587?via%3Dihub#!
  • Source: Sugar Tech. Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, COLHEITA, MINERAÇÃO DE DADOS, MODELOS MATEMÁTICOS, SIMULAÇÃO

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      HAMMER, Ralph Guenther; SENTELHAS, Paulo Cesar; MARIANO, Jean C. Q. Sugarcane yield prediction through data mining and crop simulation models. Sugar Tech, Cham, v. 22, n. 2, p. 216–225, 2020. Disponível em: < https://doi.org/10.1007/s12355-019-00776-z > DOI: 10.1007/s12355-019-00776-z.
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      Hammer, R. G., Sentelhas, P. C., & Mariano, J. C. Q. (2020). Sugarcane yield prediction through data mining and crop simulation models. Sugar Tech, 22( 2), 216–225. doi:10.1007/s12355-019-00776-z
    • NLM

      Hammer RG, Sentelhas PC, Mariano JCQ. Sugarcane yield prediction through data mining and crop simulation models [Internet]. Sugar Tech. 2020 ; 22( 2): 216–225.Available from: https://doi.org/10.1007/s12355-019-00776-z
    • Vancouver

      Hammer RG, Sentelhas PC, Mariano JCQ. Sugarcane yield prediction through data mining and crop simulation models [Internet]. Sugar Tech. 2020 ; 22( 2): 216–225.Available from: https://doi.org/10.1007/s12355-019-00776-z
  • Source: International Journal of Biometeorology. Unidade: ESALQ

    Subjects: BASES DE DADOS, METEOROLOGIA COM SATÉLITE, MILHO, MUDANÇA CLIMÁTICA, SIMULAÇÃO

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      DUARTE, Yury Catalani Nepomuceno; SENTELHAS, Paulo Cesar. NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? International Journal of Biometeorology, Cham, v. 64, p. 319–329, 2020. Disponível em: < https://doi.org/10.1007/s00484-019-01810-1 > DOI: 10.1007/s00484-019-01810-1.
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      Duarte, Y. C. N., & Sentelhas, P. C. (2020). NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? International Journal of Biometeorology, 64, 319–329. doi:10.1007/s00484-019-01810-1
    • NLM

      Duarte YCN, Sentelhas PC. NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? [Internet]. International Journal of Biometeorology. 2020 ; 64 319–329.Available from: https://doi.org/10.1007/s00484-019-01810-1
    • Vancouver

      Duarte YCN, Sentelhas PC. NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? [Internet]. International Journal of Biometeorology. 2020 ; 64 319–329.Available from: https://doi.org/10.1007/s00484-019-01810-1
  • Source: Plant Disease. Unidade: ESALQ

    Subjects: BIOGEOGRAFIA, CAFÉ, EL NIÑO, FERRUGEM (DOENÇA DE PLANTA), FUNGOS FITOPATOGÊNICOS, TEMPERATURA, UMIDADE ATMOSFÉRICA

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      HINNAH, Fernando Dill; SENTELHAS, Paulo Cesar; GLEASON, M. L; DIXON, P. M; ZHANG, X. Assessing biogeography of coffee rust risk in Brazil as affected by the El Niño southern oscilation. Plant Disease, St. Paul, MN, v. 104, n. 4, p. 1013-1018, 2020. Disponível em: < https://doi.org/10.1094/PDIS-01-19-0207-SR > DOI: 10.1094/PDIS-01-19-0207-SR.
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      Hinnah, F. D., Sentelhas, P. C., Gleason, M. L., Dixon, P. M., & Zhang, X. (2020). Assessing biogeography of coffee rust risk in Brazil as affected by the El Niño southern oscilation. Plant Disease, 104( 4), 1013-1018. doi:10.1094/PDIS-01-19-0207-SR
    • NLM

      Hinnah FD, Sentelhas PC, Gleason ML, Dixon PM, Zhang X. Assessing biogeography of coffee rust risk in Brazil as affected by the El Niño southern oscilation [Internet]. Plant Disease. 2020 ; 104( 4): 1013-1018.Available from: https://doi.org/10.1094/PDIS-01-19-0207-SR
    • Vancouver

      Hinnah FD, Sentelhas PC, Gleason ML, Dixon PM, Zhang X. Assessing biogeography of coffee rust risk in Brazil as affected by the El Niño southern oscilation [Internet]. Plant Disease. 2020 ; 104( 4): 1013-1018.Available from: https://doi.org/10.1094/PDIS-01-19-0207-SR
  • Source: Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop Modelling for Risk and Impact Assessment. Conference title: International Crop Modelling Symposium - ICROPM). Unidade: ESALQ

    Subjects: CANA-DE-AÇÚCAR, GÁS CARBÔNICO, MODELOS MATEMÁTICOS, SIMULAÇÃO, IMPACTOS AMBIENTAIS, MUDANÇA CLIMÁTICA, TRANSPIRAÇÃO VEGETAL

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    • ABNT

      DIAS, Henrique Boriolo; SENTELHAS, Paulo Cesar; INMAN-BAMBER, Geoff; EVERINGHAM, Yvette. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. Anais.. Montpellier: Agropolis International; CIRAD, 2020.Disponível em: .
    • APA

      Dias, H. B., Sentelhas, P. C., Inman-Bamber, G., & Everingham, Y. (2020). Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency. In Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop Modelling for Risk and Impact Assessment. Montpellier: Agropolis International; CIRAD. Recuperado de https://www.icropm2020.org/
    • NLM

      Dias HB, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop Modelling for Risk and Impact Assessment. 2020 ;Available from: https://www.icropm2020.org/
    • Vancouver

      Dias HB, Sentelhas PC, Inman-Bamber G, Everingham Y. Sugarcane yield future scenarios in Southern Brazil as predicted by the APSIM-Sugar model with a new feature for transpiration efficiency [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session V: Crop Modelling for Risk and Impact Assessment. 2020 ;Available from: https://www.icropm2020.org/
  • Source: Forest Ecology and Management. Unidade: ESALQ

    Subjects: EUCALIPTO, MUDANÇA CLIMÁTICA, SILVICULTURA, SIMULAÇÃO, TEMPERATURA

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    • ABNT

      ELLI, Elvis Felipe; SENTELHAS, Paulo Cesar; BENDER, Fabiani Denise. Impacts and uncertainties of climate change projections on Eucalyptus plantations productivity across Brazil. Forest Ecology and Management, Amsterdam, v. 474, 2020. Disponível em: < https://www.sciencedirect.com/science/article/pii/S0378112720311348 > DOI: doi.org/10.1016/j.foreco.2020.118365.
    • APA

      Elli, E. F., Sentelhas, P. C., & Bender, F. D. (2020). Impacts and uncertainties of climate change projections on Eucalyptus plantations productivity across Brazil. Forest Ecology and Management, 474. doi:doi.org/10.1016/j.foreco.2020.118365
    • NLM

      Elli EF, Sentelhas PC, Bender FD. Impacts and uncertainties of climate change projections on Eucalyptus plantations productivity across Brazil [Internet]. Forest Ecology and Management. 2020 ; 474Available from: https://www.sciencedirect.com/science/article/pii/S0378112720311348
    • Vancouver

      Elli EF, Sentelhas PC, Bender FD. Impacts and uncertainties of climate change projections on Eucalyptus plantations productivity across Brazil [Internet]. Forest Ecology and Management. 2020 ; 474Available from: https://www.sciencedirect.com/science/article/pii/S0378112720311348
  • Source: Ecological Indicators. Unidade: ESALQ

    Subjects: CRESCIMENTO VEGETAL, DEFICIT HÍDRICO, EUCALIPTO, MODELAGEM DE DADOS, MUDANÇA CLIMÁTICA, SAZONALIDADE, TEMPERATURA

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    • ABNT

      ELLI, Elvis Felipe; SENTELHAS, Paulo Cesar; HUTH, Neil; CARNEIRO, Rafaela Lorenzato; ALVARES, Clayton Alcarde. Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: aprocess-based modelling approach. Ecological Indicators, Amsterdam, v. 114, p. 1-20, 2020. Disponível em: < https://doi.org/10.1016/j.ecolind.2020.106325 > DOI: 10.1016/j.ecolind.2020.106325.
    • APA

      Elli, E. F., Sentelhas, P. C., Huth, N., Carneiro, R. L., & Alvares, C. A. (2020). Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: aprocess-based modelling approach. Ecological Indicators, 114, 1-20. doi:10.1016/j.ecolind.2020.106325
    • NLM

      Elli EF, Sentelhas PC, Huth N, Carneiro RL, Alvares CA. Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: aprocess-based modelling approach [Internet]. Ecological Indicators. 2020 ; 114 1-20.Available from: https://doi.org/10.1016/j.ecolind.2020.106325
    • Vancouver

      Elli EF, Sentelhas PC, Huth N, Carneiro RL, Alvares CA. Gauging the effects of climate variability on Eucalyptus plantations productivity across Brazil: aprocess-based modelling approach [Internet]. Ecological Indicators. 2020 ; 114 1-20.Available from: https://doi.org/10.1016/j.ecolind.2020.106325
  • Source: Ecological Modelling. Unidade: ESALQ

    Subjects: EUCALIPTO, MANEJO FLORESTAL, MODELOS MATEMÁTICOS, MUDANÇA CLIMÁTICA

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    • ABNT

      ELLI, Elvis Felipe; HUTH, N; CARNEIRO, R. L; ALVARES, C. A; SENTELHAS, Paulo Cesar Sentelhas. Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments. Ecological Modelling, Amsterdam, v. 419, p. 1-20, 2020. Disponível em: < https://doi.org/10.1016/j.ecolmodel.2020.108959 > DOI: 10.1016/j.ecolmodel.2020.108959.
    • APA

      Elli, E. F., Huth, N., Carneiro, R. L., Alvares, C. A., & Sentelhas, P. C. S. (2020). Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments. Ecological Modelling, 419, 1-20. doi:10.1016/j.ecolmodel.2020.108959
    • NLM

      Elli EF, Huth N, Carneiro RL, Alvares CA, Sentelhas PCS. Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments [Internet]. Ecological Modelling. 2020 ; 419 1-20.Available from: https://doi.org/10.1016/j.ecolmodel.2020.108959
    • Vancouver

      Elli EF, Huth N, Carneiro RL, Alvares CA, Sentelhas PCS. Ability of the APSIM Next Generation Eucalyptus model to simulate complex traits across contrasting environments [Internet]. Ecological Modelling. 2020 ; 419 1-20.Available from: https://doi.org/10.1016/j.ecolmodel.2020.108959

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