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In Ovo Feeding of Commercial Broiler Eggs: An Accurate and Reproducible Method to Affect Muscle Development and Growth
06:38

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Published on: September 20, 2021

Standardized data in the broiler value chain.

H Yassin1, A G J Velthuis, M Boerjan

  • 1Wageningen University, Hollandseweg 1, 6706 KN Wageningen, the Netherlands. hurria.yassin@wur.nl

Poultry Science
|January 21, 2011
PubMed
Summary

Data collection in the Dutch broiler industry varies widely, hindering management decisions. A new protocol standardized data sets, improving information exchange across breeder farms, hatcheries, and broiler farms.

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Area of Science:

  • Agricultural Science
  • Data Management
  • Animal Production

Background:

  • Data collection is routine in the Dutch broiler chain, but system and content variations impede its use in management information systems.
  • Variability in data collection hampers effective decision-support systems within the broiler production chain.

Purpose of the Study:

  • To analyze the quality of data collected within the Dutch broiler production chain.
  • To standardize the content of data sets to improve data usability and information exchange.

Main Methods:

  • Assessed data quality intuitively using 7 attributes for 23,637 egg batches from 3 Dutch hatcheries.
  • Proposed and validated a standardization protocol using consistency, uniformity, and completeness at breeder farms, hatcheries, and broiler farms.

Main Results:

  • Initial data quality analysis revealed inaccuracies, inconsistencies, and incompleteness in hatchery data.
  • Protocol validation showed high response rates from breeder farms (77%) and broiler farms (7%), but lower from hatcheries (7%).
  • Data consistency varied, with breeder farm data generally more consistent than hatchery data, though hatcheries had more entries. Uniformity issues were noted across all farm types.

Conclusions:

  • The developed protocol effectively lists relevant and standard data set contents, simplifying information exchange.
  • Recommendations include supplementing the protocol with specific data collection and management rules for enhanced data integrity.