How to design an experiment in Agriculture| Randomisation, Replication, Control & Standardisation

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  • เผยแพร่เมื่อ 23 ต.ค. 2022
  • 📢FREE Soil Organic Carbon Course: www.agresol.com.au/free-soil-... In this video we discuss what to include when designing an experiment in agriculture, that includes:
    - Randomisation
    - Replication
    - Control
    - Standardisation of variables
    We also discuss the importance of accuracy and reliability.
    🌱To work with Agresol in restoring your farm using Regenerative Agriculture, visit our website to get started: www.agresol.com.au/
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ความคิดเห็น • 14

  • @PercyMoila
    @PercyMoila 11 หลายเดือนก่อน +1

    Nice presentation indeed. Very much informative. Thank you so much👏👏👏

  • @mohdaswarijapar8644
    @mohdaswarijapar8644 ปีที่แล้ว +1

    A very good video explained in a simple way. Thanks a lot!

  • @user-tq6me9df9s
    @user-tq6me9df9s ปีที่แล้ว +1

    great video

  • @tamsenish
    @tamsenish ปีที่แล้ว +1

    Great video!

  • @yuktarstudios
    @yuktarstudios ปีที่แล้ว +1

    Your video was really useful. Thank you

  • @ZhukrufLazaro
    @ZhukrufLazaro ปีที่แล้ว +1

    what about if its all treatment in each column

    • @ZhukrufLazaro
      @ZhukrufLazaro ปีที่แล้ว +1

      and have 5 replication

    • @agriculture_explained
      @agriculture_explained  ปีที่แล้ว

      For this, you would achieve replication but may have missed randomisation. If each column only has one treatment group in it then this may lead to systematic errors from column placement.
      For example, if one column is closest to a line of trees, then that column may be shaded, so when looking at the results, did the treatment cause the results or did the shade?
      What you should do something called "Randomised Block design", this is where each treatment is randomly placed in each column.
      If you have 2 groups, treatment (T) and control (C), and need 5 reps, then this is would you could do: 2 columns of five rows, Flip a coin to determine T or C so that you get something like this:
      row 1) T,C
      row 2) C,T
      row 3) C,T
      row 4) T,C
      row 5) T,C
      Hope that helps.

    • @domenicoscarpino3715
      @domenicoscarpino3715 9 หลายเดือนก่อน

      Hello, I have a doubt. In CRBD or two way anova without replicates we are able to get the sum of square effects (although no interaction) with respective p value, but in factorial anova with no replicates we wouldn't get any p-value, although we would get the effects including interaction. Why is there this difference?