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  • Welcome to Experimental design generator

    Welcome to Experimental design generator

    July 22, 2025
    Blogs, Tools

    This tool helps researchers create randomized field trial designs for agricultural experiments. Generate complete field layouts and fieldbooks for three common experimental designs, with support for both single-location and multi-location trials. Available designs Key Features: There are many other experimental designs that may be better suited to your project. We’re here to discuss your needs…

  • Understanding Experimental Designs: Alpha Lattice, p-rep & More

    Understanding Experimental Designs: Alpha Lattice, p-rep & More

    July 9, 2025
    Blogs

    Designing robust field trials is a cornerstone of sound agricultural research and plant breeding. The choice of design isn’t just a statistical exercise—it directly affects the reliability of your results, the precision of your estimates, and ultimately, the success of your selection decisions. Want to discuss your project needs? We would love to talk to…

  • Why Randomization Is Critical in Field Trials

    Why Randomization Is Critical in Field Trials

    July 7, 2025
    Blogs

    In agricultural research, especially in field experiments, ‘randomization’ isn’t just a technical detail — it’s a scientific necessity. Whether you’re comparing crop varieties, testing fertilizers, pesticides or evaluating irrigation strategies, how you arrange plots in the field can make or break the validity of your conclusions. In this post, we’ll explore why randomization matters, how…

  • Top 5 Features of AgriStatLab for Researchers

    Top 5 Features of AgriStatLab for Researchers

    July 6, 2025
    Blogs

    If you’re working in plant breeding, agronomy, or crop science, you know how complex field data can get. At AgriStatLab, we’ve built a platform that simplifies that complexity—so you can focus on discovery, not debugging. Here are five key ways AgriStatLab supports researchers at every step of their trial pipeline: 1. 🌾 Field Trial Design…

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