Estimating the Future With the Sustainability Assessment Methodology to Soil‐Associated Agricultural Experiments

Bibliographic Data

ID21648307
AuthorsOscar Iván Monsalve Camacho (0000-0003-2302-805X, Agricultural Engineering Program, Agricultural Sciences Faculty Universidad de Ciencias Aplicadas y Ambientales (U.D.C.A) Bogotá Colombia), Gerrit Hoogenboom (0000-0002-1555-0537, Agricultural & Biological Engineering Department and the Institute for Sustainable Food Systems University of Florida Gainesville Florida USA), Andrea Onelia Rodríguez‐Roa (0000-0001-9279-3607, Colombian Corporation for Agricultural Research—Agrosavia Direction of Research and Development/Tibaitatá Research Center Bogotá Colombia), Oscar Gonzalo Castillo‐Romero (0000-0001-8354-2769, Agricultural & Biological Engineering Department and the Institute for Sustainable Food Systems University of Florida Gainesville Florida USA)
Year2025
Volume36
Issue9
Pages3063-3080
Publication date2025-05-30
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.5551
OpenAlexW4408339494
LanguageEN
References cited54

Agricultural sustainability assessments have gained high importance during the last decades. Different tools have been developed for these assessments, such as the Sustainability assessment methodology oriented to soil‐associated agricultural experiments (SMAES). SMAES quantifies the current sustainability of the different treatments evaluated in experiments associated with the soil. However, efforts aimed at maintaining or increasing crop systems sustainability must be planned and measured in the short, medium, and long term. In this work, crop modelling parameters are added to SMAES to estimate future sustainability. The first is the construction of climate scenarios (RCP 4.5 and 8.5, model CCSM4, periods 2050–2100) to establish the conditions of change in the future. Second, crop yield is modelled with Decision Support System for Agrotechnology Transfer (DSSAT) using the aforementioned climate scenarios. Third, yield modelling results and SMAES sustainability indexes (IS) from climate scenarios are integrated. As a case study, the current sustainability (IS‐C) of five potato fertilization split treatments was initially estimated: (i) Commercial control (Control), (ii) Fertilization recommended by Agrosavia (As), (iii) Monthly split fertilization recommended by Agrosavia (AsSplit), (iv) AsSplit decreasing the amount of fertilizer by 25% (AsSp25), and (v) AsSplit decreasing the amount of fertilizer by 50% (AsSp50). AsSp50 generated the highest current and future sustainability with IS‐C = 0.90, IS‐45, and IS‐85 = 0.88. Results suggest that SMAES allows sustainability assessments under current and future scenarios, leveraging modelling tools like DSSAT and LCA. This study demonstrated its feasibility for scenario‐based evaluations, highlighting its potential to support sustainable agricultural practices

Agricultural engineering · Agriculture · Biology · Environmental planning · Environmental resource management · Geography · Sustainability · Agricultural Innovations and Practices · Agriculture Sustainability and Environmental Impact · Engineering · Environmental Science · Sustainable Agricultural Systems Analysis · Ecology

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