Pedigree Search

Discover · Dog owners, breeders, judges, exhibitors, and clubs · Medium

Pedigree Search

Pedigree Search is the fastest public entry point into DOGG.DOG. Use it to search dogs, narrow results, anchor a subject dog or ancestor, and move into pedigree review, breeding planning, or dog-level follow-up.

/en/pedigree-search

Who this is for

• Users who want to find a dog quickly and open its pedigree result.
• Breeders who need to anchor sire, dam, ancestor, or kennel context before deciding what to do next.
• Judges and researchers who need a search-first route into lineage and record review.

Before you start

• You can use the page publicly, but some deeper actions become more useful after sign-in.
• Shorter, cleaner search terms usually work better than long narrative queries.
• If you know a dog, kennel, sire, dam, or ancestor, start with that strongest signal first.

What this page is for

Pedigree Search is not just a lookup box. It is a discovery workflow.

When you arrive from the first-dog workspace, Dogg shows a three-step connection guide. Search remains read-only. Choose Check this dog on the closest result, compare the record details, and then choose Connect this dog only when the record is correct. The final form points to the next missing required field and returns you to My Dogs after a successful connection.

Use it when you need to:

• find a dog by name or partial name
• anchor a search around a sire, dam, or ancestor
• search within or around a kennel
• refine results before opening a pedigree result page
• move from broad discovery into a more focused breeding or research workflow

Start narrow, then add structure

The most reliable search pattern is to begin with one clear signal, then add structure only if the first result set is too broad. In practice that means: name first, then sire or dam, then ancestor or kennel context.

Before you start

• If you only know part of the name, try that first.
• If the dog name has multiple spellings, search with fewer words.
• If you know the kennel, add the kennel after the dog name instead of starting with a long full phrase.
• If you are trying to find descendants of a known dog, use mentions and advanced filters instead of typing a long sentence.

Step-by-step actions

1. Start with the main search box

   Search by dog name first. If the result set is clean enough, open the dog directly instead of over-filtering too early.

2. Use mentions when the search needs structure

   When you know a sire, dam, or ancestor, use the mention flow to anchor the search more precisely than free text alone.

3. Open advanced filters only when needed

   Advanced filters help when the result set is too broad or when you need a more specific breeding or ancestry constraint.

4. Review the result cards, not only the top hit

   Result quality often depends on naming consistency. The second or third match may be the correct dog if naming is similar across lines.

5. Open the next workflow intentionally

   From search you should move into the pedigree result, a kennel-specific review, or a breeding tool depending on what you learned.

Section breakdown

Header and search area

• The main search box supports structured discovery, not just plain keywords.
• Search can open mobile-specific search presentation on smaller screens.
• The page uses debounced query behavior, so allow a brief moment after changing the query before judging the result set.

Mentions and structured search

• @ mentions help anchor dogs inside the query.
• # mentions help add kennel context.
• Subjects such as sire, dam, and ancestor can materially change the applied query.
• Structured search is stronger than typing long prose when you already know the relevant dogs.

Advanced filters

Advanced filters are useful when you need to constrain by:

• breed
• sex
• kennel
• ancestor side
• scope
• generation/ancestor logic

If you are not sure whether the page is failing or just over-filtered, reduce filters before escalating.

Results area

• Live search previews and applied results are not the same thing.
• Empty results do not automatically mean the database is missing the dog.
• Promoted rails can appear alongside the search flow; treat them as optional discovery, not as proof that the search itself failed.
• In first-dog connection mode, open the most likely match and verify its identity details before connecting it. If the record is organization-managed, return to search or use the organization's ownership process instead of creating a duplicate.

State	Meaning	Action
Useful result set	The page found dogs that match the current query and filters well enough to act on.	Open the best candidate and continue into the pedigree result.
Too broad	You used a query that matches too many dogs or lines.	Add one stronger signal such as kennel, sire, dam, or ancestor.
Empty	No dogs matched the current applied search state.	Remove filters, simplify the text query, and retry with shorter terms.
Confusing	You found similar names and cannot tell which dog is correct.	Use pedigree result, kennel context, sex, and date clues before deciding.

Common mistakes

Mistake	Consequence	Fix
Typing a full natural-language request into a standard search flow	The page may return weak or noisy matches because the strongest structured signals are buried in prose.	Start with a short name query, then add mentions or filters.
Leaving too many filters active	Users conclude the dog is missing when the page is actually honoring their constraints.	Reset filters and rebuild the query step by step.
Treating promoted or related content as the search result itself	Users misread optional discovery surfaces as incorrect search output.	Focus on the actual result list and applied query state first.

Troubleshooting

Symptom	Likely cause	Verify	Fix
I know the dog exists, but search returns nothing	The query is too narrow, too long, misspelled, or over-filtered.	Remove filters and retry with a shorter name or kennel term.	Rebuild the search from one strong signal at a time.
I get too many similar dogs	The query is too broad or the line has repeated naming patterns.	Check whether many results share a kennel or family naming style.	Add sire, dam, ancestor, sex, or kennel context.
Search looks stale or inconsistent	Live preview state and applied result state are out of sync with your expectations.	Refresh the page or reapply the search after simplifying the query.	Clear the query, retry cleanly, and avoid stacking old filters.
The mobile search flow feels different	The page uses a mobile-specific search presentation.	Check whether the search box opened a focused mobile search state.	Complete the search inside the mobile search UI rather than expecting the desktop layout.

FAQ

Should I use Pedigree Search or Mating Outcome first?

Use Pedigree Search first when you are still trying to identify or verify a dog. Use Mating Outcome after you already know the sire and dam you want to evaluate.

When should I use Smart Mating Outcome instead?

Use Smart Mating Outcome when you want the system to interpret a more natural request and suggest candidate pairings for you.

Does an empty result mean the dog is not in DOGG.DOG?

No. Empty usually means the current query state is too narrow, too noisy, or filtered in a way that excludes the match you expect.

Related actions

Question	If yes	If no
Do you already know both parents you want to compare?	Go to Mating Outcome and evaluate the exact pairing.	Stay in Pedigree Search until you identify the right dog or pedigree context.
Do you want the platform to suggest candidates based on a prompt?	Go to Smart Mating Outcome.	Continue with direct search or structured filters here.
Did you find the dog you wanted?	Open the pedigree result and continue into the next workflow from there.	Simplify the query and rebuild the search with one stronger signal.

Open in app

Continue with Mating Outcome

Use this when you already know the sire and dam and want a direct pedigree outcome, linebreeding, DNA, or smart analysis view.

Open this workflow

Continue with Smart Mating Outcome

Use this when you want the platform to interpret a more natural breeding request and suggest candidate matches.

Open this workflow

Still stuck?

• Take note of the exact query you used.
• Record which filters were active.
• If possible, compare one short search with one structured search using mentions.
• Include the route and the expected dog or kennel in your support report.

Metadata

• Owner: Product support / discovery workflows
• Last reviewed: 2026-04-11
• Linked app route: /en/pedigree-search