imanr: An R tool for the identification of Mexican native maize complexes DOI Creative Commons
Arturo Sánchez-Porras, Aline Romero-Natale, Otílio Arturo Acevedo Sandoval

et al.

One Ecosystem, Journal Year: 2025, Volume and Issue: 10

Published: May 2, 2025

The conservation of the genetic diversity native maize in Mexico is a priority due to its cultural, agricultural and environmental importance. This study presents development evaluation imanr package, computational tool based on Boosted Ensembles designed automate classification racial complexes maize. Using national database, model was implemented that leverages morphological geographical variables provide precise rapid classifications. methodology included optimisation key parameters through cross-validation, achieving up 90% balanced accuracy Cohen's Kappa coefficient 0.84. These results highlight robustness compared traditional methods, which rely subjective expert judgement require extended times. findings demonstrate package not only surpasses conventional methods terms efficiency, but also offers an accessible for conserving monitoring diversity, aligning with recommendations Global Maize Project (PGMN). Moreover, usability enhanced by developing graphical user interface, allowing non-specialised users fully utilise potential. represents significant advancement science, contributing modernisation identification processes strengthening sustainable management strategies this essential resource. directly addresses need innovative tools monitor preserve suggests promising pathway future applications sector.

Language: Английский

Traditional Agroforestry Practices DOI
Nyong Princely Awazi

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 29 - 72

Published: Feb. 28, 2025

Traditional agroforestry practices integrate trees and shrubs into agricultural landscapes are deeply informed by indigenous knowledge systems. These practices, shaped millennia of observation, offer insights sustainable land management. Indigenous enhances understanding local ecosystems, soil types, climatic conditions, resulting in techniques that balance production with ecological conservation. Examples include the “milpa” system Mesoamerica, which combines maize, beans, squash diverse trees, “taungya” Southeast Asia, merges crops young tree plantations. foster biodiversity, promote various plant species for economic benefits, reflect a keen awareness seasonal cycles, maximizing yields while minimizing environmental impact. Despite facing modern challenges like tenure issues, integrating scientific approaches can enhance sustainability resilience systems, crucial addressing challenges.

Language: Английский

Citations

0
imanr: An R tool for the identification of Mexican native maize complexes DOI Creative Commons
Arturo Sánchez-Porras, Aline Romero-Natale, Otílio Arturo Acevedo Sandoval

et al.

One Ecosystem, Journal Year: 2025, Volume and Issue: 10

Published: May 2, 2025

The conservation of the genetic diversity native maize in Mexico is a priority due to its cultural, agricultural and environmental importance. This study presents development evaluation imanr package, computational tool based on Boosted Ensembles designed automate classification racial complexes maize. Using national database, model was implemented that leverages morphological geographical variables provide precise rapid classifications. methodology included optimisation key parameters through cross-validation, achieving up 90% balanced accuracy Cohen's Kappa coefficient 0.84. These results highlight robustness compared traditional methods, which rely subjective expert judgement require extended times. findings demonstrate package not only surpasses conventional methods terms efficiency, but also offers an accessible for conserving monitoring diversity, aligning with recommendations Global Maize Project (PGMN). Moreover, usability enhanced by developing graphical user interface, allowing non-specialised users fully utilise potential. represents significant advancement science, contributing modernisation identification processes strengthening sustainable management strategies this essential resource. directly addresses need innovative tools monitor preserve suggests promising pathway future applications sector.

Language: Английский

Citations

0