Services on Demand
Journal
Article
Indicators
Cited by SciELO
Access statistics
Related links
Cited by Google
Similars in
SciELO
Similars in Google
Share
Revista U.D.C.A Actualidad & Divulgación Científica
Print version ISSN 0123-4226
Abstract
ORTEGA-MONSALVE, Manuela; MEDINA-SIERRA, Marisol and CERON-MUNOZ, Mario Fernando. Relationship of organic carbon and total nitrogen with other soil variables in livestock in the department of Antioquia, Colombia. rev.udcaactual.divulg.cient. [online]. 2025, vol.28, n.2, e2553. Epub Nov 17, 2025. ISSN 0123-4226. https://doi.org/10.31910/rudca.v28.n2.2025.2553.
The relationships among different nutrients in the soil can influence conditions for plant growth. In this case, livestock production depends on the biomass produced by pastures to feed the animals. The relationship between organic carbon (CO) and total nitrogen (N) was determined using generalized additive models (GAM) through regression analysis and smoothing in soils destined for dairy, meat, and dual-purpose bovine production. Nutrients present in the soil and environmental effects, such as location, were included in the models. The adjustment was determined using Deviance and R2, and a descriptive analysis of the relationships between the variables included in the models and their spatial distributions for each type of production was conducted. CO was related to soil variables such as apparent density (AD), cation exchange capacity (CEC), pH, and total N. Total N was associated with CO, clay (Ar), potassium (K), and zinc (Zn). The soils in the North and East of the department, dedicated to milk production, show higher CO levels, while Urabá and Magdalena Medio, dedicated to meat production, presented low values. For total N, the North and East had lower values compared to the other regions. The carbon/nitrogen (C/N) ratios found for the productions did not show a linear relationship; the values of these relationships depend on the total N content of the soil.
Keywords : Bovine production; Carbon-nitrogen relationship; Generalized additive models; Sustainable systems; Tropical soils.












