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Artigo de periodico
Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups (2019)
Teixeira, Wilson Wagner Ribeiro; Battisti, Rafael; Sentelhas, Paulo Cesar; Moraes, Milton Ferreira; Oliveira Junior, Adilson
Source: Journal of Agronomy and Crop Science. Unidade: ESALQ
Subjects: DEFICIT HÍDRICO, MATURAÇÃO VEGETAL, SIMULAÇÃO, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TEIXEIRA, Wilson Wagner Ribeiro et al. Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups. Journal of Agronomy and Crop Science, p. 1-12, 2019Tradução . . Disponível em: https://doi.org/10.1111/jac.12343. Acesso em: 27 maio 2024.
APA
Teixeira, W. W. R., Battisti, R., Sentelhas, P. C., Moraes, M. F., & Oliveira Junior, A. (2019). Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups. Journal of Agronomy and Crop Science, 1-12. doi:10.1111/jac.12343
NLM
Teixeira WWR, Battisti R, Sentelhas PC, Moraes MF, Oliveira Junior A. Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups [Internet]. Journal of Agronomy and Crop Science. 2019 ; 1-12.[citado 2024 maio 27 ] Available from: https://doi.org/10.1111/jac.12343
Vancouver
Teixeira WWR, Battisti R, Sentelhas PC, Moraes MF, Oliveira Junior A. Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups [Internet]. Journal of Agronomy and Crop Science. 2019 ; 1-12.[citado 2024 maio 27 ] Available from: https://doi.org/10.1111/jac.12343
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: 27 maio 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 maio 27 ] 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 maio 27 ] 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: 27 maio 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 maio 27 ] 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 maio 27 ] 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: 27 maio 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 maio 27 ] 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 maio 27 ] Available from: https://doi.org/10.1007/s00484-017-1483-1
Artigo de periodico
Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil (2018)
Battisti, Rafael; Sentelhas, Paulo Cesar; Parker, Phillip S; Nendel, Claas; Câmara, Gil Miguel de Sousa; Farias, José R. B; Basso, Claudir J
Source: Crop & Pasture Science. Unidade: ESALQ
Subjects: SOJA, SEMEADURA, MUDANÇA CLIMÁTICA, COLHEITA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BATTISTI, Rafael et al. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop & Pasture Science, v. 69, n. 2, p. 154-162, 2018Tradução . . Disponível em: https://doi.org/10.1071/CP17293. Acesso em: 27 maio 2024.
APA
Battisti, R., Sentelhas, P. C., Parker, P. S., Nendel, C., Câmara, G. M. de S., Farias, J. R. B., & Basso, C. J. (2018). Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil. Crop & Pasture Science, 69( 2), 154-162. doi:10.1071/CP17293
NLM
Battisti R, Sentelhas PC, Parker PS, Nendel C, Câmara GM de S, Farias JRB, Basso CJ. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil [Internet]. Crop & Pasture Science. 2018 ; 69( 2): 154-162.[citado 2024 maio 27 ] Available from: https://doi.org/10.1071/CP17293
Vancouver
Battisti R, Sentelhas PC, Parker PS, Nendel C, Câmara GM de S, Farias JRB, Basso CJ. Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil [Internet]. Crop & Pasture Science. 2018 ; 69( 2): 154-162.[citado 2024 maio 27 ] Available from: https://doi.org/10.1071/CP17293

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