Soybean multi-model sensitivity analysis for prediction of seed nitrogen, biological N fixation, and N cycling (2020)
- Authors:
- Autor USP: SILVA, EVANDRO HENRIQUE FIGUEIREDO MOURA DA - ESALQ
- Unidade: ESALQ
- Subjects: FIXAÇÃO DE NITROGÊNIO; MODELOS MATEMÁTICOS; NUTRIÇÃO VEGETAL; SEMENTES; SOJA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Agropolis International; CIRAD
- Publisher place: Montpellier
- Date published: 2020
- Source:
- Conference titles: International Crop Modelling Symposium - ICROPM)
-
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: 20 abr. 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 abr. 20 ] 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 abr. 20 ] Available from: https://www.icropm2020.org/ - Crop modeling for understanding yield-gap causes and the potential for sustainable intensification of soybean in Brazil
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