The aim of this work was to develop a holistic scoring system that would assess aspects related to product quality (ICP_s) and the process (ICP_r) in the milk production from dairy farms on the Cantabrian coast, using the simulation model DairyCant. The scoring system is made up of 66 variables grouped into the indicators: environment (19), soil (9), slurry (11), feed (14) for the ICP_s; nutritional (5) and nutraceutical (8) for the ICP_r. Each variable within its indicator was scored from 1 to 4 according to its interquartile ranges, assigning a score of 4 to the 25 % of the best valued farms; between 25 % and 50 % a score of 3; between 50 % and 75 % of 2 and more than 75 % of 1. The average score of the indicators that make up each quality index varies from 1 to 4 and in turn defines the category of explotation as improvable (M), fair (R), good (B) and excellent (Ex). The number of participating farms were 54 and corresponded to organic (Eco); conventional grazing (PasCon); grass silage (EHba); corn silage (EMz) and grass silage‑corn silage (EHba‑EMz). In general, the results showed mean scores of 2.01 for ICP_s and 1.99 for ICP_r. The percentage of farms in the sample classified as M, R, B and Ex for ICP_s and ICP_r was 24.1-24.1 %, 37-35.2 %, 27.8-27.8 % and 11, 1-13 % respectively. Among typologies, 20 % of the Eco farms were classified as B and Ex; 50 % of PasCon; 33.3 % EHba; 45.5 % of EMz and 41.7 % in EHba‑EMz for ICP_s. 30 % of the Eco farms were classified as R and B; 33.4 % for PasCon; 11.1 % in EHba; 54.6 % for EMz and 66.6 % for EHba‑EMz for ICP_s.

Salcedo G, Salcedo‑Rodríguez D (2022). Valoración holística de la sostenibilidad en los sistemas lecheros de la España húmeda. ITEA‑Información Técnica Económica Agraria 118(3): 396-426. https://doi.org/10.12706/itea.2021.032