Digital Agroclimatic Plot in Guatemala Dry Corridor: Progress, Learning, and Innovation for Agricultural Decision-Making (Dataset)

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dc.creatorRamos Solorzano, Gresia Dalal
dc.creatorLizarazo Torres, Miguel Angel
dc.creatorJimenez Rodas, Daniel Ricardo
dc.date2026
dc.date2026-02-12T20:38:15Z
dc.date2026-02-12T20:38:15Z
dc.date.accessioned2026-06-27T13:37:53Z
dc.descriptionThis database focuses on field trials conducted in the Digital Agroclimatic Plot during 2025, based on the needs identified by farmers in the area. The trials address two key management practices: fall armyworm control in maize and maize residue management in the soil. Data generated from these trials were analyzed to produce a technical report summarizing the main findings and conclusions, aimed at supporting farmers’ decision-making. The results provide practical guidance on recommended doses and products that can be applied under local production conditions to improve crop management and productivity. Methodology:1. A protocol was developed for establishing the ICTA Suprema maize crop in the digital agroclimatic plot. 2. Experimental units were defined using a randomized block design. 3. Treatments were applied to each experimental unit with four replications. 4. Dependent variables were measured in the field. 5. The trial was harvested.
dc.identifierhttps://hdl.handle.net/10568/181509
dc.identifier.urihttp://hdl.handle.net/123456789/65440
dc.languageen
dc.rightsOpen Access
dc.sourceRamos Solorzano, G.D.; Lizarazo Torres, M.A.; Jimenez Rodas, D.R. (2026) Digital Agroclimatic Plot in Guatemala Dry Corridor: Progress, Learning, and Innovation for Agricultural Decision-Making (Dataset). https://doi.org/10.7910/DVN/LV495H
dc.subjecterosion
dc.subjectinsect control
dc.titleDigital Agroclimatic Plot in Guatemala Dry Corridor: Progress, Learning, and Innovation for Agricultural Decision-Making (Dataset)
dc.typeDataset

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