TY  - JA
AU  - Gardeazabal Monsalve,A.
AU  - Cabello Cortés,J.A.
AU  - Fonteyne,S.
AU  - Jiménez Gomez,B.
AU  - Leal Gonzalez,A.J.
AU  - Nuñez Jimenez,D.
AU  - Odjo,S.
AU  - Pacheco Rodriguez,G.M.
AU  - Ramírez Ortega,M.L.
AU  - Van Loon,J.
AU  - Vargas-Rojas,L.
AU  - Verhulst,N.
AU  - Govaerts,B.
TI  - A decade of on-farm data about improved cereal and legume cropping in Mexico
SN  - 2052-4463
PY  - 2025///
CY  - United Kingdom
PB  - Nature Publishing Group, 
KW  - Environmental impact
KW  - AGROVOC
KW  - Plant ecology
KW  - Cereals
KW  - Legumes
KW  - Crop management
KW  - Mexico
N1  - Peer review; Open Access
N2  - This data descriptor presents a decade-long agronomic dataset collected between 2012 and 2022 by extension agents across Mexico as part of CIMMYT’s on-farm experimentation network. Extension agents used a unified digital logbook platform (BEM, later e-Agrology) to record agronomic activities, farm operations, and results. After multi-stage cleaning and validation, the dataset comprises 69,008 logbooks from 10,763 innovation plots testing new technologies, 10,305 control plots under conventional management, and 47,940 extension plots adopting sustainable practices. Key variables cover crop management (including sowing and harvest dates), resource use (including inputs, fuel and labor), activity costs, market prices, and yields for maize (Zea mays), beans (Phaseolus vulgaris), wheat (Triticum aestivum, Triticum durum), sorghum (Sorghum bicolor), and barley (Hordeum vulgare). Spanning diverse agroecologies and farm sizes, this open-access resource enables analyses of long-term productivity trends, cost–benefit relationships, input–output efficiencies, and climate-related performance. By providing harmonized, field-level data across multiple management scenarios, it can be used to derive valuable insights for researchers, extension services, and policymakers to develop optimized agronomic recommendations and sustainable intensification strategies
UR  - https://hdl.handle.net/10883/36703
DO  - https://doi.org/10.1038/s41597-025-06143-w
T2  - Scientific Data
ER  -