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Improving rice models for more reliable prediction of responses of rice yield to CO2 and temperature elevation
- Source :
- CIRAD, International Crop Modelling Symposium, International Crop Modelling Symposium, Mar 2016, berlin, Germany. 2016, Crop modelling for agriculture and food security under global change. Abstracts
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Abstract
- Improving rice models for more reliable prediction of responses of rice yield to CO2 and temperature elevation . International Crop Modelling Symposium
- Subjects :
- production rizicole
[ SDV ] Life Sciences [q-bio]
U10 - Informatique, mathématiques et statistiques
P40 - Météorologie et climatologie
F60 - Physiologie et biochimie végétale
crop model
rice
flux de co2
[SDV]Life Sciences [q-bio]
education
food and beverages
F62 - Physiologie végétale - Croissance et développement
humanities
fertilisation
[SDV] Life Sciences [q-bio]
high temperature
croissance des graines
calibrage du modèle
F01 - Culture des plantes
fertilization
haute température
mesure par chambre
biomasse aérienne
reproductive and urinary physiology
health care economics and organizations
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- CIRAD, International Crop Modelling Symposium, International Crop Modelling Symposium, Mar 2016, berlin, Germany. 2016, Crop modelling for agriculture and food security under global change. Abstracts
- Accession number :
- edsair.dedup.wf.001..5b2354c2ca6379c17e82792bd8557b52