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

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Authors: Gresia Dalal Ramos, Miguel Angel Lizarazo Torres, Daniel Ricardo Jimenez
Cited by: 0

Abstract

This 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.

Fields of Study & Subjects

Crop Yield and Soil Fertility Climate change impacts on agriculture Insect-Plant Interactions and Control

Publication details

Journal / source
Harvard Dataverse
Publication date
15 January 2026
Language
EN
Document type
Dataset