Purpose and audience

INAPH In-Breeding Check is a free reference application designed to help artificial insemination (AI) technicians and herd managers reduce the risk of mating closely related animals. It focuses on preserving genetic variety and herd health for cattle and buffalo operations of all sizes.

How it works

  • Enter the animal’s ear tag that is registered in the INAPH system
  • The app queries the INAPH database for related records
  • It produces a ranked list of the nearest kin to the chosen animal
  • Users can then avoid using bulls identified as close relatives

Primary advantages

  • No purchase or subscription cost, making it accessible to smallholders and larger farms alike
  • Helps maintain genetic diversity and lowers the chance of inherited disorders
  • Tailored for use by field AI technicians with straightforward outputs for breeding decisions
  • Supports both cattle and buffalo breeding programs

Things to keep in mind

  • Initial setup and population of records can be time-consuming for farms with many animals
  • The accuracy of the recommendations depends on how complete and up-to-date the INAPH registry is
  • Proper data-entry procedures and periodic audits improve the tool’s usefulness
  • Some users may need a short learning period to become comfortable with entering and managing herd data

Who should consider using it

  • AI technicians looking for a quick lineage check before insemination
  • Herd managers aiming to preserve long-term genetic health
  • Farmers who want a low-cost way to reduce inbreeding-related risk

Recommendation

For anyone responsible for breeding decisions, INAPH In-Breeding Check is a practical, cost-free resource that simplifies identifying relatives and avoiding inbreeding. The short setup and data-entry investment is generally worthwhile given the long-term benefits to herd genetics and animal health.

Technical

Title
INAPH In-Breeding Check
Requirements
  • Android
Language
No language has been specified.
Available languages
License
  • Free
Latest update
2024-09-06
Author
NDDB
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