Filter your results
- 2
- 2
- 4
- 4
- 1
- 1
- 2
- 1
- 4
- 4
- 1
- 1
- 3
- 4
- 3
- 3
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 2
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
- 1
|
|
sorted by
|
|
Building composite indices in the age of big data – Application to honey bee exposure to infectious and parasitic agentsHeliyon, 2023, 9 (4), pp.e15244. ⟨10.1016/j.heliyon.2023.e15244⟩
Journal articles
anses-04068240v1
|
||
|
Design and Planning of a Transdisciplinary Investigation into Farmland Pollinators: Rationale, Co-Design, and Lessons LearnedSustainability, 2022, 14 (17), pp.10549. ⟨10.3390/su141710549⟩
Journal articles
anses-03771108v1
|
||
|
Monitoring bee health in European agro-ecosystems using wing morphology and fat bodiesOne Ecosystem, 2021, 6, pp.e63653. ⟨10.3897/oneeco.6.e63653⟩
Journal articles
anses-03793131v1
|
||
|
Specific detection and quantification of three microsporidia infecting bees, Nosema apis, Nosema ceranae, and Nosema bombi, using probe-based real-time PCREuropean Journal of Protistology, 2022, 86, pp.125935. ⟨10.1016/j.ejop.2022.125935⟩
Journal articles
anses-03852549v1
|