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1
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil
Material Type:
Artigo 		Adicionar ao Meu Espaço

Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil

R Battisti Paulo Cesar Sentelhas; K. J Boote

International Journal of Biometeorology Cham v. 62, p. 823-832, 2018, 2018

Cham 2018

Localização: IF - Instituto de Física    (610.153 S237d D )(Acessar)

2
Correction to NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?
Correction to NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?
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Correction to NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?

Yuri Catalani Nepomuceno Duarte Paulo Cesar Sentelhas

International Journal of Biometeorology Cham online, p. 1-11, 2019

Cham 2019

Item não circula. Consulte sua biblioteca.(Acessar)

3
Potential occurrence of Puccinia sorghi in corn crops in Paraná, under scenarios of climate change
Potential occurrence of Puccinia sorghi in corn crops in Paraná, under scenarios of climate change
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Potential occurrence of Puccinia sorghi in corn crops in Paraná, under scenarios of climate change

Nicole Costa Resende Ferreira Jarbas Honorio Miranda

International Journal of Biometeorology Cham online, p. 1-12, March 2020

Cham 2020

Item não circula. Consulte sua biblioteca.(Acessar)

4
Classification of daily weather types in Colombia a tool to evaluate human health risks due to temperature variability
Classification of daily weather types in Colombia a tool to evaluate human health risks due to temperature variability
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Classification of daily weather types in Colombia a tool to evaluate human health risks due to temperature variability

Djimenar J Roncancio L Lecha; Adelaide Cássia Nardocci

International Journal of Biometeorology Heidelberg v.64, p. 1795–1806, 2020

Heidelberg 2020

Localização: FSP - Faculdade de Saúde Pública    (HSA-23/2020 )(Acessar)

5
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil
Material Type:
Artigo 		Adicionar ao Meu Espaço

Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil

R Battisti Paulo Cesar Sentelhas; K. J Boote

International Journal of Biometeorology Cham v. 62, n. 5, p. 823-832, 2018

Cham 2018

Item não circula. Consulte sua biblioteca.(Acessar)

6
NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?
NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?
Material Type:
Artigo 		Adicionar ao Meu Espaço

NASA/POWER and DailyGridded weather datasets—how good they are for estimating maize yields in Brazil?

Yury Catalani Nepomuceno Duarte Paulo Cesar Sentelhas

International Journal of Biometeorology Cham v. 64, p. 319–329, 2020

Cham 2020

Item não circula. Consulte sua biblioteca.(Acessar)

7
Climate change and extreme events on drainage systems numerical simulation of soil water in corn crops in Illinois (USA)
Climate change and extreme events on drainage systems numerical simulation of soil water in corn crops in Illinois (USA)
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Climate change and extreme events on drainage systems numerical simulation of soil water in corn crops in Illinois (USA)

Nicole C. R Ferreira Jarbas Honorio de Miranda; Richard Cooke

International Journal of Biometeorology Heidelberg v. 65, p. 1001-1013, 2021

Heidelberg 2021

Acesso online

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Deste Autor:

  1. Sentelhas, P
  2. Battisti, R
  3. Miranda, J
  4. Boote, K
  5. Ferreira, N

Neste Assunto:

  1. Mudança Climática
  2. Milho
  3. Radiação Solar E Terrestre
  4. Soja
  5. Dióxido De Carbono

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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