Montse, Salmeron Cortasa; Kothari, Kritika; Battisti, Rafael; Silva, Evandro 
Source: Crop modelling for Agriculture and Food Security under Global Change. Session I: Improvement of Crop Models. Conference titles: International Crop Modelling Symposium - ICROPM). Unidade: ESALQ
Subjects: FIXAÇÃO DE NITROGÊNIO, MODELOS MATEMÁTICOS, NUTRIÇÃO VEGETAL, SEMENTES, SOJA
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MONTSE, Salmeron Cortasa et al. Soybean multi-model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling. 2020, Anais.. Montpellier: Agropolis International; CIRAD, 2020. Disponível em: https://www.icropm2020.org/. Acesso em: 06 nov. 2024.APA
Montse, S. C., Kothari, K., Battisti, R., & Silva, E. (2020). Soybean multi-model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling. In Crop modelling for Agriculture and Food Security under Global Change. Session I: Improvement of Crop Models. Montpellier: Agropolis International; CIRAD. Recuperado de https://www.icropm2020.org/NLM
Montse SC, Kothari K, Battisti R, Silva E. Soybean multi-model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session I: Improvement of Crop Models. 2020 ;[citado 2024 nov. 06 ] Available from: https://www.icropm2020.org/Vancouver
Montse SC, Kothari K, Battisti R, Silva E. Soybean multi-model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling [Internet]. Crop modelling for Agriculture and Food Security under Global Change. Session I: Improvement of Crop Models. 2020 ;[citado 2024 nov. 06 ] Available from: https://www.icropm2020.org/
