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Building the Retrieve on Flat

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Last week I considered the pieces you would want to have in place to create the behavior chain called “drop on recall.”

This week I’m looking at the Retrieve on Flat.

Note that the foundation elements for the ROF exercise include the stay, the send, the automatic return, the release and the finish.  If you want to set your dog up success then each one needs to be in place before asking for a full retrieve.  Moreover, each of those pieces should be properly proofed before adding it to the chain, but that is beyond the scope of this particular blog.

Note that I test most of the elements with food.  That way if I’m not happy with how a piece turns out it will not affect the actual retrieve.

This video is unedited.

If you’d like, next I can take one foundation element and consider ways to proof it. I’m open to suggestions, so if you’d like to see how I proof a specific foundation piece, leave me a comment.

Today is the last day to register at Fenzi Dog Sports Academy, so if you’ve been meaning to do that, don’t wait!

About dfenzi

I'm a professional dog trainer who specializes in building relationship in dog handler teams who compete in dog sports. My personal passions are Competitive Obedience and no force (motivational) dog training. I travel throughout the world teaching seminars on topics related to Dog Obedience and Building Drives and Motivation. I own Fenzi Dog Sports Academy, a comprehensive online school for motivational training of performance sport dogs.

2 responses »

  1. Great video Denise! I was inspired by your drop on recall video to go and practice – now I’ll go away and practice the retrieve 🙂 Maybe a bit on proofing the sit and hold prior to release? This is the foundation that I struggle with the most in this exercise.
    By the way – I have just started my 3rd course from the Dog Sports academy ‘Shaping, luring, capturing and more!’ It is just fantastic 🙂

    Reply
  2. Great.as always Denise! Maybe a bit of proofing on the recall back as my dog comes back too slowly!! Thanks again Denise

    Reply

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