Environmental Monitoring and Modeling of the Genetic Potential of Sugarcane Cultivars under Appropriate Water Availability in the Soil

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1 Environmental Monitoring and Modeling of the Genetic Potential of Sugarcane Cultivars under Appropriate Water Availability in the Soil Eduardo Machado, Glauco Rolim, Leonardo B. Oliveira, Marcos Landell, Rafael Ribeiro, Regina Pires, Silvana Creste July 2011, Redmond MSR Faculty Summit - LATAM Workshop

2 Monitoring and Modeling Sugarcane Cultivars for Higher Productivity Eduardo Machado, Glauco Rolim, Leonardo B. Oliveira, Marcos Landell, Rafael Ribeiro, Regina Pires, Silvana Creste July 2011, Redmond MSR Faculty Summit - LATAM Workshop

3 Agenda Introduction Goal Solution Team Plan Conclusion

4 Biofuels Are in great demand Are renewable Became less expensive and more efficient Environmental concerns Cons of fossil fuels

5 Ethanol A sweeter alternative Problem Sugarcane cultivation often implies Deforestation Area shift from food crop to non-food crop Solution Increase crop productivity Same area, more sugar How? Understanding & meeting crop needs

6 Ethanol A sweeter alternative Problem Sugarcane cultivation often implies Deforestation Area shift from food crop to non-food crop Solution Increase crop productivity Same area, more sugar How? Understanding & meeting crop needs

7 Ethanol A sweeter alternative Problem Sugarcane cultivation often implies Deforestation Area shift from food crop to non-food crop Solution Increase crop productivity Same area, more sugar How? Understanding & meeting crop needs

8 Ethanol A sweeter alternative Problem Sugarcane cultivation often implies Deforestation Area shift from food crop to non-food crop Solution Increase crop productivity Same area, more sugar How? Understanding & meeting crop needs

9 Ethanol A sweeter alternative Problem Sugarcane cultivation often implies Deforestation Area shift from food crop to non-food crop Solution Increase crop productivity Same area, more sugar How? Understanding & meeting crop needs

10 Agenda Introduction Goal Solution Team Plan Conclusion

11 General Goal Find out conditions that enables optimal sugarcane production Achieve more yield per area

12 Specific Goals Develop a model for harvest forecast Able to consider the most important processes involved in the sugarcane production Develop a model for water and nutrition efficiency estimation An important tool to compare the resistance of sugarcane varieties under drought conditions Determine the best genotype for sucrose production under irrigated areas

13 Goal: Illustration

14 Agenda Introduction Goal Solution Team Plan Conclusion

15 Sensornets Sensornet TelosB mote m(icrosoft)platform: Lymberopoulos et al. m(icrosoft)platform: Architecture

16 Sensornets Sensornet TelosB mote m(icrosoft)platform: Lymberopoulos et al. m(icrosoft)platform: Architecture

17 Project: Architecture Climate elements Solar radiation Air temperature Humidity Wind speed Crop (4 genotypes) Soil water Soil conductivity Root system Etc. Sensornets Fertigation model Water use efficiency Crop model Harvest forecast & Higher productivity

18 Agenda Introduction Goal Solution Team Plan Conclusion

19 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

20 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

21 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

22 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

23 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

24 Project: Team Irrigation Science Regina Pires (IAC) Crop Physiology Eduardo Machado (IAC) Crop Modeling Rafael Ribeiro (IAC) PhD Crop breeding Glauco Rolim (UNESP) Plant molecular biology Marcos Landell (IAC) Silvana Creste (IAC) Computer Science MSing scholar Me (IC-Unicamp)

25 Agenda Introduction Goal Solution Team Plan Conclusion

26 Project: Status May 2011 Contract signing We deployed drip system Used to irrigate sugarcane cultivars We selected sugarcanes genotypes Four sugarcane cultivars responding different to water availability and canopy architecture Sowed and grown crop

27 Project: Status (Cont.) We defined metrics Plant height, crop density, productivity, root system behavior Scholar recruiting (in progress)

28 Test Bed Drip irrigation system Current crop

29 Project: Next Steps Sensornets setup, deployment, & operation Data gathering and analysis Model development & harvest forecast

30 Agenda Introduction Goal Solution Team Plan Conclusion

31 Conclusions Ethanol are in great demand It is important to increase sugarcane productivity Sugarcane productivity can be achieved by understanding crop needs Sensornets can accurately monitor crops and then help us to develop models to improve crop productivity

32

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