Application of optimal contribution selection, trait distribution management, and group selection in layer chickens

Evaluating the longer-term impacts of OCS and other methods employed requires multi-generation simulations, ideally starting from the current real data as a base. However, the current approach of using a real implementation scenario is important in decision making for real-life applications. Similar benefits from the selection and mating strategies used here are expected in breeding programs for other species.

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Publication Details

Journal
Genetics Selection Evolution
Published
2026-01-21
DOI
https://doi.org/10.1186/s12711-025-01029-2
Primary Topic
Animal Nutrition and Physiology
Type
article
Field-Weighted Citation Impact
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article

Application of optimal contribution selection, trait distribution management, and group selection in layer chickens

Jack C. M. Dekkers, B. P. Kinghorn, Alexander Kinghorn, Anna Wolc
Genetics Selection Evolution
Animal Nutrition and Physiology
article

Application of optimal contribution selection, trait distribution management, and group selection in layer chickens

Jack C. M. Dekkers, B. P. Kinghorn, Alexander Kinghorn, Anna Wolc
article en

Abstract

Evaluating the longer-term impacts of OCS and other methods employed requires multi-generation simulations, ideally starting from the current real data as a base. However, the current approach of using a real implementation scenario is important in decision making for real-life applications. Similar benefits from the selection and mating strategies used here are expected in breeding programs for other species.

Genetics Selection EvolutionVol. 58(1)
Iowa State University (US), Hy-Line (United States) (US), University of New England (AU)
Openalex Percentile: Top 80%
Animal Nutrition and Physiology
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