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Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Arroyo, Juan ManuelAuthorLinares R.AuthorParra, LorenaAuthorPalmero, DanielCorresponding Author

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September 22, 2025
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Integrating biofumigation and phyto-spectral monitoring: Advancing sustainable agricultural practices

Publicated to: INDUSTRIAL CROPS AND PRODUCTS. 235 121814- - 2025-11-01 235(), DOI: 10.1016/j.indcrop.2025.121814

Authors:

Arroyo, Juan Manuel; Soler, Jose; Parra, Lorena; Palmero, Daniel
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Affiliations

Univ Politecn Madrid, Escuela Tecn Super Ingn Agron Alimentaria & Biosi, Dept Prod Agr, Ave Puerta de Hierro 4, Madrid 28040, Spain - Author

Abstract

Biofumigation is a sustainable agricultural practice that utilizes the biocidal properties of natural compounds, such as isothiocyanates (ITCs) derived from glucosinolates (GSLs), to control soilborne pathogens and improve soil health. This study evaluates the biofumigant potential of various Brassicaceae species, emphasizing their biomass production, GSLs concentrations, and their utility in sustainable soil management under frost-prone conditions in central Spain over two different growing seasons. Additionally, phyto-spectral indices derived from remote sensing technologies, including Normalized Difference Vegetation Index (NDVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Red Edge (NDRE), and Transformed Chlorophyll Absorption in Reflectance Index/Optimized Soil Adjusted Vegetation Index (TCARI/OSAVI), were obtained along six flights. Data have been analyzed to optimize the timing of biofumigant incorporation into the soil and assess their correlation with biomass and GSLs content. The findings identify Brassica juncea and B. carinata as the most effective biofumigant species due to their high aliphatic glucosinolate content. In contrast, B. napus showed superior frost tolerance. Vegetation indices demonstrated strong relationships with biomass and GSLs content during key growth stages, with NDRE showing especially good performance under certain developmental conditions. While, regression models obtained with machine learning tools enhanced the predictive accuracy for biomass and GSLs concentrations for the entire growing period, demonstrating their potential for integrating precision agriculture tools into biofumigation practices. This study advances the understanding of biofumigant crop management by incorporating spectral technologies to enhance efficiency and decision-making, aligning with sustainable agriculture and precision farming principles.
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Keywords

Above-ground biomassAgroecologyBrassicaceaeEnvironmentGlucosinolatesMachine learningManagementRedVegetationVegetation indicesZero hunger

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal INDUSTRIAL CROPS AND PRODUCTS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2025, it was in position 6/129, thus managing to position itself as a Q1 (Primer Cuartil), in the category Agronomy. Notably, the journal is positioned above the 90th percentile.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-27:

  • WoS: 1
  • Scopus: 1
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-27:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 17.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 15 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/92928/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 60
  • Downloads: 22
Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 2 - End hunger, achieve food security and improved nutrition and promote sustainable agriculture, with a probability of 87% according to the mBERT algorithm developed by Aurora University.
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (ARROYO SANZ, JUAN MANUEL) and Last Author (PALMERO LLAMAS, DANIEL).

the author responsible for correspondence tasks has been PALMERO LLAMAS, DANIEL.

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Project objectives

La aportación persigue los siguientes objetivos: analizar el potencial biofumigante de distintas especies de Brassicaceae en condiciones de helada en el centro de España; evaluar la producción de biomasa y concentración de glucosinolatos (GSLs) como indicadores clave para el manejo sostenible del suelo; determinar la utilidad de índices fitospectrales (NDVI, GNDVI, NDRE, TCARI/OSAVI) obtenidos mediante teledetección para optimizar el momento de incorporación de biofumigantes; caracterizar la relación entre biomasa, contenido de GSLs y los índices espectrales durante las etapas críticas de desarrollo; y desarrollar modelos de regresión con herramientas de aprendizaje automático para mejorar la predicción de biomasa y concentración de GSLs, integrando tecnologías de agricultura de precisión en prácticas de biofumigación sostenible.
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Most relevant results

Este estudio presenta avances en prácticas agrícolas sostenibles mediante la integración de biofumigación y monitoreo fitospectral. Los resultados más relevantes son: 1) Brassica juncea y B. carinata se identificaron como las especies biofumigantes más efectivas por su alto contenido en glucosinolatos alifáticos; 2) B. napus mostró una mayor tolerancia a las heladas; 3) los índices espectrales NDVI, GNDVI, NDRE y TCARI/OSAVI, obtenidos en seis vuelos, mostraron fuertes correlaciones con la biomasa y el contenido de glucosinolatos en etapas clave; 4) NDRE destacó por su rendimiento bajo ciertas condiciones de desarrollo; 5) los modelos de regresión basados en aprendizaje automático mejoraron la precisión predictiva para biomasa y glucosinolatos a lo largo de dos temporadas de cultivo en la zona central de España.
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