SPATIAL-TEMPORAL ANALYSIS OF SCIENTIFIC PRODUCTION ON AGROBIODIVERSITY OF CROPS WITH FOOD VALUE

Autores/as

  • Victor Manuel Toribio-Solis
  • Mario Rocandio-Rodríguez
  • Alberto Santillán-Fernández Colegio de Postgraduados
  • Yolanda del Rocio Moreno-Ramírez
  • Julio César Chacón-Hernández
  • Efraín Neri-Ramírez
  • Rafael Delgado-Martínez

DOI:

https://doi.org/10.47163/agrociencia.v59i8.3458

Palabras clave:

agroecology, content analysis, bibliometrics, family gardens, Mayan milpa.

Resumen

The analysis of agrobiodiversity helps to understand the traditional and agroecological production systems that communities have developed to produce their food and conserve the diversity of their species. However, there are still few studies that examine research advances in the spatial-temporal scale of agrobiodiversity. The objective of this study was to conduct a bibliometric analysis of scientific production related to the agrobiodiversity of crops of food interest. Furthermore, the analysis methodologies used, the main findings reported, and areas of opportunity for generating new knowledge were identified. The literature search was conducted using the keywords “agrobiodiversidad” and “agrobiodiversity” in academic publishers (Elsevier, Scopus, Frontiers, MDPI, and Springer), open access databases (Scielo, Redalyc, Latindex, Clarivate Analytics, PeerJ, and DOAJ), and the Google Scholar web search engine. Between 2000 and 2023, 445 publications were identified, whose frequency showed a linear growth trend (R2 = 0.77; p < 0.0001). The countries with the highest publication frequency were the United States (36 publications), Mexico (34), India (31), Brazil (29), Colombia (25), and Ecuador (25). The crops most frequently analyzed in Asian countries were rice and sugarcane; in North America, corn and beans; in South America, potatoes and coffee; and in Europe, wheat, grapes, and tomatoes. The most commonly used methodologies included diversity indices (Shannon-Wiener, Margalef, and Simpson) and statistical techniques: descriptive analysis (frequencies), inference (Pearson and Spearman correlations, analysis of variance, mean tests such as Tukey and Duncan), and multivariate analysis (clustering and principal components). Sixty-seven point eight six percent of the articles were limited to describing agrobiodiversity, leaving room for opportunity to develop research on genetic diversity aimed at productivity and conservation.

Archivos adicionales

Publicado

09-12-2025

Número

Sección

Fitociencia