Published July 26, 2022
| Version 1
Dataset
Data and metadata of crop yield and quality derived from H2020 Diverfarming project
Creators
- Elvira Díaz Pereira1
- María Martínez Mena García1
- Virginia Sánchez Navarro2
- Raúl Zornoza Belmonte2
- Juan A. Fernández Hernández2
- Alejandro Pérez-Pastor2
- Abdelmalek Temnani2
- Pablo Berríos Reyes2
- Onurcan Ozbolat2
- Jorge Álvaro Fuentes3
- Luis Parras4
- Beatriz Lozano4
- Manuel González4
- Claudia Di Bene5
- Rosa Francaviglia5
- Antonio Troccoli5
- Michel Riksen6
- Esperanza Huerta Lwanga6
- Piet Peters6
- Cord-Henrich Treseler7
- József Dezső8
- Dénes Lóczy8
- Marietta Rezsek8
- Ferenc Tarjányi9
- Riitta Lemola10
- Carolina Boix-Fayos1
- Victoria Lafuente3
- Eduardo López11
- Claudia Di Bene5
- Roberta Farina5
- Annalisa Merli12
- Katharina Frey-Treseler7
- Felix Dittrich13
- Jesús Aguilera14
- 1. CEBAS-CSIC
- 2. Universidad Politécnica de Cartagena
- 3. EEAD-CSIC
- 4. Universidad de Córdoba
- 5. CREA
- 6. Wageningen University and Research
- 7. Weingut Dr. Frey
- 8. UP
- 9. NMT
- 10. Natural Resources Institute Finland
- 11. Cooperativa de Zuera
- 12. CCDP
- 13. University of Trier
- 14. UCO
Description
Data and metadata of crop yield and quality from different cases studies and long terms from WP3 "Crop production and quality", derived from H2020 Diverfarming project. This workpackage provides robust and sound data about how diversified cropping systems with low-input practices and efficient use of resources have positive effects on crop production and quality, and so, farm yields and economic revenues for farmers is increased. This can increase trading productivity with high quality outputs, so improving the competitiveness of European agriculture in the global market. http://www.diverfarming.eu.