Technical and economic performance of corn and pasture grass Marandu after the con...
| Grant number: | 18/14218-1 |
| Support type: | Scholarships abroad - Research Internship - Post-doctor |
| Effective date (Start): | August 20, 2018 |
| Effective date (End): | November 30, 2018 |
| Field of knowledge: | Agronomical Sciences - Agronomy |
| Principal Investigator: | Ciro Antonio Rosolem |
| Grantee: | Eduardo Mariano |
| Supervisor abroad: | David Leonard Jones |
| Home Institution: | Faculdade de Ciências Agronômicas (FCA). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil |
| Local de pesquisa : | Bangor University, Wales |
| Associated to the scholarship: | 17/02517-1 - Nitrogen dynamics in a production system using Brachiaria as a cover plant, BP.PD |
Abstract The release of organic C compounds from roots into their surrounding environment is paramount for the C dynamics in the soil. Root exudates play a critical role as a source of C and energy for soil rhizosphere microorganisms. However, our knowledge on rhizodeposition and rhizosphere-related processes is still very limited due to the complex plant-microorganism-soil interaction. In addition, rhizodeposition depends on the plant species and changes with plant growth stage. The use of isotope-based approaches allow us to trace the C flow through the plant to the soil (i.e., rhizodeposition). Our objective is to quantify the C rhizodeposition and composition of the soil microbial community of three forage grass species [Guinea grass (Megathyrsus maximum), palisade grass (Urochloa brizantha), and ruzigrass (U. ruziziensis)] at two growth stages. Forage plants will be pulse-labeled with 14CO2 at 30 and 45 d after germination on a mesocosm experiment. A mathematical model will be used to estimate the rhizodeposition-to-root ratio. The microbial community of the rhizosphere soil will be measured by phospholipid fatty acid analysis. Two-way ANOVA will be conducted to evaluate the influence of forage species and plant growth stages on 14C recoveries and microbial community. A principal component analysis will be used to elucidate major variation patterns. | |