Search Results - "Arévalo Galarza, Ma. de Lourdes C."

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    Potential distribution modeling based on machine learning of Sechium edule (Jacq.) Sw. in Japan by Iñiguez, Jorge Cadena, Barrera Guzmán, Luis Ángel, Arévalo Galarza, Ma. de Lourdes C., Cadena Zamudio, Daniel Alejandro, Watanabe, Kazuo N., Arévalo Galarza, Gustavo Antonio, Aguirre Medina, Juan Francisco

    Published in Genetic resources and crop evolution (01-06-2024)
    “…Species distribution models identify regions with ideal environmental characteristics for the establishment and proliferation of species. The chayote ( Sechium…”
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