Publications by authors named "Sylvain Delerce"
Article Synopsis
- Seasonal climate variability and climate change are challenging for farmers, prompting the need for new tools to adapt and utilize increasing observational data on crop performance.
- Data mining techniques can help analyze large datasets to uncover insights from farmer experiences, identifying best practices for coping with climate variability.
- A case study on rice in Colombia used data mining to assess the relationship between climate factors and crop yields, revealing how different cultivars respond uniquely to weather conditions and allowing for targeted recommendations for specific weather patterns.
Agriculture research uses "recommendation domains" to develop and transfer crop management practices adapted to specific contexts. The scale of recommendation domains is large when compared to individual production sites and often encompasses less environmental variation than farmers manage. Farmers constantly observe crop response to management practices at a field scale.
View Article and Find Full Text PDFThe dynamics and composition of microbial communities in the aqueous phase of a model wetland supplied with cis- and trans-1,2-dichloroethenes (DCE)-contaminated groundwater was characterized. PCR-denaturing gradient gel electrophoresis analysis of water samples obtained from different parts of the wetland revealed that changes of the bacterial community structure coincided with a succession of the hydrochemical conditions in the wetland, from oxic towards anoxic conditions. During this transition phase, the appearance of vinyl chloride and ethene correlated with the presence of putative dechlorinating bacteria (Dehalococcoides spp.
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