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

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.

本数据库聚焦2025年于数字农业气候试验田（Digital Agroclimatic Plot）开展的田间试验，试验基于当地农户识别出的实际生产需求设计。本次试验覆盖两项核心田间管理技术：玉米草地贪夜蛾（fall armyworm）防控与土壤玉米残茬管理。研究人员对试验产生的数据进行分析，形成一份技术报告，总结主要试验结果与结论，旨在为农户生产决策提供支撑。试验结果可提供符合当地生产条件的推荐施药剂量与适用产品方案，助力优化作物管理并提升生产效率。试验方法如下：1. 针对数字农业气候试验田内的ICTA Suprema玉米品种，制定标准化种植规程；2. 采用随机区组设计划定试验单元；3. 为每个试验单元施加对应处理，设置4次重复；4. 于田间测定相关因变量；5. 完成试验田收获。