Filtros : "DUARTE, YURY CATALANI NEPOMUCENO" "SENTELHAS, PAULO CESAR" Removido: "Dagli, Maria Lúcia Zaidan" Limpar

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  • Source: International Journal of Biometeorology. Unidade: ESALQ

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

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      DUARTE, Yury Catalani Nepomuceno e SENTELHAS, Paulo Cesar. NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?. International Journal of Biometeorology, v. 64, p. 319–329, 2020Tradução . . Disponível em: https://doi.org/10.1007/s00484-019-01810-1. Acesso em: 05 ago. 2024.
    • APA

      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.[citado 2024 ago. 05 ] 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.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s00484-019-01810-1
  • Source: International Journal of Biometeorology. Unidade: ESALQ

    Subjects: AGROMETEOROLOGIA, MILHO, IMAGEAMENTO DE SATÉLITE, MUDANÇA CLIMÁTICA

    Versão PublicadaAcesso à fonteDOIHow to cite
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    • ABNT

      DUARTE, Yuri Catalani Nepomuceno e SENTELHAS, Paulo Cesar. Correction to: NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?. International Journal of Biometeorology, p. 1-11, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00484-019-01834-7. Acesso em: 05 ago. 2024.
    • APA

      Duarte, Y. C. N., & Sentelhas, P. C. (2019). Correction to: NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? International Journal of Biometeorology, 1-11. doi:10.1007/s00484-019-01834-7
    • NLM

      Duarte YCN, Sentelhas PC. Correction to: NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? [Internet]. International Journal of Biometeorology. 2019 ; 1-11.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s00484-019-01834-7
    • Vancouver

      Duarte YCN, Sentelhas PC. Correction to: NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil? [Internet]. International Journal of Biometeorology. 2019 ; 1-11.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s00484-019-01834-7
  • Source: International Journal of Plant Production. Unidade: ESALQ

    Subjects: MILHO, SIMULAÇÃO

    PrivadoAcesso à fonteDOIHow to cite
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    • ABNT

      DUARTE, Yury Catalani Nepomuceno e SENTELHAS, Paulo Cesar. Intercomparison and performance of maize crop models and their ensemble for yield simulations in Brazil. International Journal of Plant Production, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.1007/s42106-019-00073-5. Acesso em: 05 ago. 2024.
    • APA

      Duarte, Y. C. N., & Sentelhas, P. C. (2019). Intercomparison and performance of maize crop models and their ensemble for yield simulations in Brazil. International Journal of Plant Production, 1-13. doi:10.1007/s42106-019-00073-5
    • NLM

      Duarte YCN, Sentelhas PC. Intercomparison and performance of maize crop models and their ensemble for yield simulations in Brazil [Internet]. International Journal of Plant Production. 2019 ; 1-13.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s42106-019-00073-5
    • Vancouver

      Duarte YCN, Sentelhas PC. Intercomparison and performance of maize crop models and their ensemble for yield simulations in Brazil [Internet]. International Journal of Plant Production. 2019 ; 1-13.[citado 2024 ago. 05 ] Available from: https://doi.org/10.1007/s42106-019-00073-5

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