Fonte: Crop modelling for Agriculture and Food Security under Global Change. Session I: Improvement of Crop Models. Nome do evento: International Crop Modelling Symposium - ICROPM). Unidade: ESALQ
Assuntos: FIXAÇÃO DE NITROGÊNIO, MODELOS MATEMÁTICOS, NUTRIÇÃO VEGETAL, SEMENTES, SOJA
ABNT
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: 27 ago. 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 ago. 27 ] 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 ago. 27 ] Available from: https://www.icropm2020.org/