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Artigo de periodico
Characterizing Brazilian soybean-growing regions by water deficit patterns (2019)
Battisti, R; Sentelhas, Paulo Cesar
Source: Field Crops Research. Unidade: ESALQ
Subjects: DEFICIT HÍDRICO, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e SENTELHAS, Paulo Cesar. Characterizing Brazilian soybean-growing regions by water deficit patterns. Field Crops Research, v. 240, p. 95-105, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.fcr.2019.06.007. Acesso em: 05 nov. 2024.
APA
Battisti, R., & Sentelhas, P. C. (2019). Characterizing Brazilian soybean-growing regions by water deficit patterns. Field Crops Research, 240, 95-105. doi:10.1016/j.fcr.2019.06.007
NLM
Battisti R, Sentelhas PC. Characterizing Brazilian soybean-growing regions by water deficit patterns [Internet]. Field Crops Research. 2019 ; 240 95-105.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.fcr.2019.06.007
Vancouver
Battisti R, Sentelhas PC. Characterizing Brazilian soybean-growing regions by water deficit patterns [Internet]. Field Crops Research. 2019 ; 240 95-105.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.fcr.2019.06.007
Artigo de periodico
Assessment of different gridded weather data for soybean yield simulations in Brazil (2019)
Battisti, R; Bender, F. D; Sentelhas, Paulo Cesar
Source: Theoretical and Applied Climatology. Unidade: ESALQ
Subjects: SOJA, AGROCLIMATOLOGIA, MODELOS MATEMÁTICOS, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e BENDER, F. D e SENTELHAS, Paulo Cesar. Assessment of different gridded weather data for soybean yield simulations in Brazil. Theoretical and Applied Climatology, v. 135, n. 1/2, p. 237-247, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00704-018-2383-y. Acesso em: 05 nov. 2024.
APA
Battisti, R., Bender, F. D., & Sentelhas, P. C. (2019). Assessment of different gridded weather data for soybean yield simulations in Brazil. Theoretical and Applied Climatology, 135( 1/2), 237-247. doi:10.1007/s00704-018-2383-y
NLM
Battisti R, Bender FD, Sentelhas PC. Assessment of different gridded weather data for soybean yield simulations in Brazil [Internet]. Theoretical and Applied Climatology. 2019 ; 135( 1/2): 237-247.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00704-018-2383-y
Vancouver
Battisti R, Bender FD, Sentelhas PC. Assessment of different gridded weather data for soybean yield simulations in Brazil [Internet]. Theoretical and Applied Climatology. 2019 ; 135( 1/2): 237-247.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00704-018-2383-y
Artigo de periodico
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil (2018)
Battisti, R; Sentelhas, Paulo Cesar; Boote, K. J
Source: International Journal of Biometeorology. Unidade: ESALQ
Subjects: SOJA, MUDANÇA CLIMÁTICA, DIÓXIDO DE CARBONO, RADIAÇÃO SOLAR E TERRESTRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e SENTELHAS, Paulo Cesar e BOOTE, K. J. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, v. 62, p. 823-832, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00484-017-1483-1. Acesso em: 05 nov. 2024.
APA
Battisti, R., Sentelhas, P. C., & Boote, K. J. (2018). Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, 62, 823-832. doi:10.1007/s00484-017-1483-1
NLM
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Vancouver
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Artigo de periodico
Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil (2018)
Battisti, R; Sentelhas, Paulo Cesar; Boote, K. J
Source: International Journal of Biometeorology. Unidade: ESALQ
Subjects: SOJA, MUDANÇA CLIMÁTICA, DIÓXIDO DE CARBONO, CHUVA, RADIAÇÃO SOLAR E TERRESTRE, TEMPERATURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, R e SENTELHAS, Paulo Cesar e BOOTE, K. J. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, v. 62, n. 5, p. 823-832, 2018Tradução . . Disponível em: https://doi.org/10.1007/s00484-017-1483-1. Acesso em: 05 nov. 2024.
APA
Battisti, R., Sentelhas, P. C., & Boote, K. J. (2018). Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil. International Journal of Biometeorology, 62( 5), 823-832. doi:10.1007/s00484-017-1483-1
NLM
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62( 5): 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Vancouver
Battisti R, Sentelhas PC, Boote KJ. Sensitivity and requirement of improvements of four soybean crop simulation models for climate change studies in Southern Brazil [Internet]. International Journal of Biometeorology. 2018 ; 62( 5): 823-832.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/s00484-017-1483-1

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